diff --git a/.gitignore b/.gitignore index d8eff1c..1be63ce 100644 --- a/.gitignore +++ b/.gitignore @@ -111,3 +111,5 @@ crashlytics.properties crashlytics-build.properties atusdata/ +.direnv +.envrc diff --git a/ATUS_Analysis.ipynb b/ATUS_Analysis.ipynb new file mode 100644 index 0000000..22e6773 --- /dev/null +++ b/ATUS_Analysis.ipynb @@ -0,0 +1,9424 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#ATUS Analysis\n", + "This notebook documents an initial exploration of the dataset provided by the [American Time Use Survey](http://www.bls.gov/tus/)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "####* [Jump to Table of Contents](#Table-of-Contents:)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import math\n", + "import re\n", + "import zipfile\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import atus # Custom atus helper and analysis functions\n", + "import parse_activities as pa # Contains lookup dictionaries/lists for activity codes generated from PDF scrape\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "activity_codes.pdf atusact_2013.zip atuscps_2013.zip atusresp_2013.zip atusrost_2013.zip atusrostec_2013.zip atussum_2013.zip atususersguide.pdf atuswho_2013.zip data_dictionary.pdf\r\n" + ] + } + ], + "source": [ + "!ls atusdata/ # These datafiles were downloaded via the download_data script" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Relevant links:\n", + "These files provide detailed supporting information on the dataset files\n", + "- [activity_codes.pdf](atusdata/activity_codes.pdf)\n", + "\n", + "- [atususersguide.pdf](atusdata/atususersguide.pdf)\n", + "\n", + "- [data_dictionary.pdf](atusdata/data_dictionary.pdf)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX PEEDUCA \\\n", + "0 20130101130004 11899905.662034 12 22 2 40 \n", + "1 20130101130112 4447638.009513 1 39 1 43 \n", + "2 20130101130123 10377056.507734 -1 47 2 40 \n", + "3 20130101130611 7731257.992805 -1 50 2 40 \n", + "4 20130101130616 4725269.227067 -1 45 2 40 \n", + "\n", + " PTDTRACE PEHSPNON GTMETSTA TELFS ... t181501 t181599 t181601 \\\n", + "0 8 2 1 5 ... 0 0 0 \n", + "1 1 2 1 1 ... 0 0 0 \n", + "2 1 2 1 4 ... 25 0 0 \n", + "3 1 1 1 1 ... 0 0 0 \n", + "4 2 2 1 1 ... 0 0 0 \n", + "\n", + " t181801 t189999 t500101 t500103 t500105 t500106 t500107 \n", + "0 0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 0 \n", + "\n", + "[5 rows x 413 columns]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Open the summary file\n", + "summary = atus.open_zip('atussum_2013')\n", + "summary.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 11385 entries, 0 to 11384\n", + "Columns: 413 entries, tucaseid to t500107\n", + "dtypes: float64(1), int64(412)\n", + "memory usage: 36.0 MB\n" + ] + } + ], + "source": [ + "summary.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'GTMETSTA': 'metropolitan_status',\n", + " 'PEEDUCA': 'education_level',\n", + " 'PEHSPNON': 'is_hispanic',\n", + " 'PTDTRACE': 'race',\n", + " 'TEAGE': 'age_edited',\n", + " 'TEHRUSLT': 'weekly_hours_worked',\n", + " 'TELFS': 'employment_status',\n", + " 'TEMJOT': 'has_multiple_jobs',\n", + " 'TESCHENR': 'is_student',\n", + " 'TESCHLVL': 'school_level',\n", + " 'TESEX': 'gender',\n", + " 'TESPEMPNOT': 'partner_employed',\n", + " 'TRCHILDNUM': 'household_children',\n", + " 'TRDPFTPT': 'work_status',\n", + " 'TRERNWA': 'weekly_earnings_main',\n", + " 'TRHOLIDAY': 'is_holiday',\n", + " 'TRSPFTPT': 'partner_work_status',\n", + " 'TRSPPRES': 'partner_present',\n", + " 'TRTEC': 'eldercare_minutes',\n", + " 'TRTHH': 'childcare_minutes',\n", + " 'TRYHHCHILD': 'youngest_child_age',\n", + " 'TUDIARYDAY': 'date',\n", + " 'TUFINLWGT': 'atus_final_weight',\n", + " 'tucaseid': 'atus_case_id'}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Clean up the demographic column titles to be more readable\n", + "variables = sorted(list(summary.columns.values)[:24])\n", + "meanings = ['metropolitan_status',\n", + " 'education_level',\n", + " 'is_hispanic',\n", + " 'race',\n", + " 'age_edited',\n", + " 'weekly_hours_worked',\n", + " 'employment_status',\n", + " 'has_multiple_jobs',\n", + " 'is_student',\n", + " 'school_level',\n", + " 'gender',\n", + " 'partner_employed',\n", + " 'household_children',\n", + " 'work_status',\n", + " 'weekly_earnings_main',\n", + " 'is_holiday',\n", + " 'partner_work_status',\n", + " 'partner_present',\n", + " 'eldercare_minutes',\n", + " 'childcare_minutes',\n", + " 'youngest_child_age',\n", + " 'date',\n", + " 'atus_final_weight',\n", + " 'atus_case_id']\n", + "\n", + "summary_columns = {key: meanings[i] for i, key in enumerate(variables)}\n", + "meanings_unsorted = [summary_columns[key] for key in summary.columns.values[:24]]\n", + "# meanings_unsorted.extend(summary.columns.values[24:])\n", + "summary_columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Pertinent columns:\n", + "\n", + "* TUFINLWGT - statistical weight of respondent\n", + "* TRYHHCHILD - age of youngest child in household\n", + "* TEAGE - age of respondent\n", + "* TESEX - sex of respondent\n", + "* TELFS - working status of respondent\n", + "* TRCHILDNUM - number of children in household" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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5 rows × 413 columns

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" + ], + "text/plain": [ + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX PEEDUCA \\\n", + "0 20130101130004 11899905.662034 12 22 2 40 \n", + "1 20130101130112 4447638.009513 1 39 1 43 \n", + "2 20130101130123 10377056.507734 -1 47 2 40 \n", + "3 20130101130611 7731257.992805 -1 50 2 40 \n", + "4 20130101130616 4725269.227067 -1 45 2 40 \n", + "\n", + " PTDTRACE PEHSPNON GTMETSTA TELFS ... t181501 t181599 t181601 \\\n", + "0 8 2 1 5 ... 0 0 0 \n", + "1 1 2 1 1 ... 0 0 0 \n", + "2 1 2 1 4 ... 25 0 0 \n", + "3 1 1 1 1 ... 0 0 0 \n", + "4 2 2 1 1 ... 0 0 0 \n", + "\n", + " t181801 t189999 t500101 t500103 t500105 t500106 t500107 \n", + "0 0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 0 \n", + "\n", + "[5 rows x 413 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "summary.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "# Get an English version of all the column headings\n", + "\n", + "#import importlib\n", + "#importlib.reload(pa)\n", + "#del pa\n", + "pa.atus_codes_list\n", + "pa.codes_dict\n", + "z = summary_columns.copy()\n", + "z.update(pa.codes_dict)\n", + "summary_columns = z\n", + "summary_columns\n", + "code_meanings = [ pa.codes_dict[i] for i in summary.columns.values[24:]]\n", + "meanings_unsorted.extend(code_meanings)\n", + "#meanings_unsorted\n", + "# summary4 = summary.rename(columns=pa.codes_dict)\n", + "# summary4.head()\n", + "# summary5 = summary4\n", + "# summary5.columns = pd.MultiIndex.from_tuples(list(zip(meanings_unsorted, summary.columns)))\n", + "# summary5.head() # .columns.values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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atus_case_idatus_final_weightyoungest_child_ageage_editedgendereducation_levelraceis_hispanicmetropolitan_statusemployment_status...Travel related to volunteeringTravel related to volunteer activities, n.e.c.*Travel related to phone callsSecurity procedures related to travelingTraveling, n.e.c.*Insufficient detail in verbatimMissing travel or destinationRespondent refused to provide information/\"none of your business\"Gap/can't rememberUnable to code activity at 1st tier
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5 rows × 413 columns

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" + ], + "text/plain": [ + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX \\\n", + " atus_case_id atus_final_weight youngest_child_age age_edited gender \n", + "0 20130101130004 11899905.662034 12 22 2 \n", + "1 20130101130112 4447638.009513 1 39 1 \n", + "2 20130101130123 10377056.507734 -1 47 2 \n", + "3 20130101130611 7731257.992805 -1 50 2 \n", + "4 20130101130616 4725269.227067 -1 45 2 \n", + "\n", + " PEEDUCA PTDTRACE PEHSPNON GTMETSTA TELFS \\\n", + " education_level race is_hispanic metropolitan_status employment_status \n", + "0 40 8 2 1 5 \n", + "1 43 1 2 1 1 \n", + "2 40 1 2 1 4 \n", + "3 40 1 1 1 1 \n", + "4 40 2 2 1 1 \n", + "\n", + " ... t181501 \\\n", + " ... Travel related to volunteering \n", + "0 ... 0 \n", + "1 ... 0 \n", + "2 ... 25 \n", + "3 ... 0 \n", + "4 ... 0 \n", + "\n", + " t181599 \\\n", + " Travel related to volunteer activities, n.e.c.* \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t181601 t181801 \\\n", + " Travel related to phone calls Security procedures related to traveling \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + " t189999 t500101 \\\n", + " Traveling, n.e.c.* Insufficient detail in verbatim \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + " t500103 \\\n", + " Missing travel or destination \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t500105 \\\n", + " Respondent refused to provide information/\"none of your business\" \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t500106 t500107 \n", + " Gap/can't remember Unable to code activity at 1st tier \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + "[5 rows x 413 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# summary3 has a MultiIndex which has the code on the top level and the English meaning on the second level\n", + "# this does make indexing it a bit trickier, so we will continue to use summary as well\n", + "summary2 = summary.rename(columns=summary_columns)\n", + "summary3 = summary2\n", + "summary3.columns = pd.MultiIndex.from_tuples(list(zip(summary.columns, meanings_unsorted)))\n", + "summary3.head() # .columns.values" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###An initial calculation" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "adults_crit = summary.TEAGE >= 18\n", + "no_children_crit = summary.TRCHILDNUM == 0\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[10953, 6481]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adults = summary[adults_crit]\n", + "adults_with_no_children = summary[adults_crit & no_children_crit]\n", + "\n", + "[len(group) for group in [adults, adults_with_no_children]]" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "521.0183492943637" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Look at average weighted daily sleep for adults_with_no_children using 3 different methods\n", + "# Method 1/3 -- Gets weighted average of a single activity:\n", + "data = adults_with_no_children[['TUFINLWGT', 't010101']]\n", + "data.head()\n", + "data2, avg = atus.weighted(data, 't010101')\n", + "data = data.rename(columns={\"TUFINLWGT\": \"weight\", \"t010101\": \"minutes\"})\n", + "\n", + "data2.head()\n", + "avg" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "(521.0183492943637, 4.0328730764962595, 525.05122237085993)" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Method 2/3 -- Combine two related activities (note that the first result matches previous method):\n", + "sleeping = atus.average_minutes(adults_with_no_children, \"010101\")\n", + "sleepless = atus.average_minutes(adults_with_no_children, \"010102\")\n", + "sleeping, sleepless, (sleeping + sleepless)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/atus.py:91: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " data['minutes'] = activity_sums\n" + ] + }, + { + "data": { + "text/plain": [ + "525.05122237086005" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Method 3/3 -- Use regular expressions to combine related activities (matches previous result):\n", + "atus.activity_columns(summary, '0101')\n", + "atus.average_minutes2(adults_with_no_children, \"0101\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": false + }, + "source": [ + "###The dictionaries and lists in the pa module help us orient ourselves with the data\n", + "####See parse_activities.py for the code to convert a flat list of codes into a hierarchical structure\n", + "This process would be much nicer (i.e. unnecessary) if the relevant tables were provided in a non-PDF format!" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t01': 'Personal Care',\n", + " 't02': 'Household Activities',\n", + " 't03': 'Caring For & Helping Household (HH) Members',\n", + " 't04': 'Caring For & Helping Nonhousehold (NonHH) Members',\n", + " 't05': 'Work & Work-Related Activities',\n", + " 't06': 'Education',\n", + " 't07': 'Consumer Purchases',\n", + " 't08': 'Professional & Personal Care Services',\n", + " 't09': 'Household Services',\n", + " 't10': 'Government Services & Civic Obligations',\n", + " 't11': 'Eating and Drinking',\n", + " 't12': 'Socializing, Relaxing, and Leisure',\n", + " 't13': 'Sports, Exercise, and Recreation',\n", + " 't14': 'Religious and Spiritual Activities',\n", + " 't15': 'Volunteer Activities',\n", + " 't16': 'Telephone Calls',\n", + " 't18': 'Traveling',\n", + " 't50': 'Data Codes'}" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.categories # Broadest level categories" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sleeping'" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.codes_dict['t0101'] # A sub-category (Tier 2 of 3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Joining files" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "respondents = atus.open_zip('atusresp_2013')\n", + "activities = atus.open_zip('atusact_2013')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 11385 entries, 0 to 11384\n", + "Columns: 175 entries, TUCASEID to TXTONHH\n", + "dtypes: float64(1), int64(172), object(2)\n", + "memory usage: 15.3+ MB\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " TUCASEID TULINENO TUYEAR TUMONTH TEABSRSN TEERN TEERNH1O \\\n", + "0 20130101130004 1 2013 1 -1 -1 -1 \n", + "1 20130101130004 1 2013 1 -1 -1 -1 \n", + "2 20130101130004 1 2013 1 -1 -1 -1 \n", + "3 20130101130004 1 2013 1 -1 -1 -1 \n", + "4 20130101130004 1 2013 1 -1 -1 -1 \n", + "\n", + " TEERNH2 TEERNHRO TEERNHRY ... TUDURSTOP TUEC24 TUSTARTTIM \\\n", + "0 -1 -1 -1 ... 2 -1 04:00:00 \n", + "1 -1 -1 -1 ... 1 -1 12:00:00 \n", + "2 -1 -1 -1 ... 1 -1 12:05:00 \n", + "3 -1 -1 -1 ... 2 -1 14:05:00 \n", + "4 -1 -1 -1 ... 1 -1 19:00:00 \n", + "\n", + " TUSTOPTIME TUTIER1CODE TUTIER2CODE TUTIER3CODE TRCODE TRTIER2 TXWHERE \n", + "0 12:00:00 1 1 1 10101 101 0 \n", + "1 12:05:00 11 1 1 110101 1101 0 \n", + "2 14:05:00 12 3 3 120303 1203 0 \n", + "3 19:00:00 6 3 1 60301 603 0 \n", + "4 19:30:00 11 1 1 110101 1101 0 \n", + "\n", + "[5 rows x 205 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged = pd.merge(respondents, activities, left_on=\"TUCASEID\", right_on=\"TUCASEID\")\n", + "merged.info()\n", + "merged.head()\n", + "# merged[[\"TUCASEID\", \"TUACTIVITY_N\", \"TXTCOC\"]].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 Not in labor force\n", + "1 Employed - at work\n", + "2 Unemployed - looking\n", + "3 Employed - at work\n", + "4 Employed - at work\n", + "Name: TELFS, dtype: object" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "telfs = pd.Series({1: \"Employed - at work\",\n", + " 2: \"Employed - absent\",\n", + " 3: \"Unemployed - laid off\",\n", + " 4: \"Unemployed - looking\",\n", + " 5: \"Not in labor force\"})\n", + "summary.TELFS.map(telfs).head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Correlation matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "0 1 -0.741208\n", + " 4 -0.582657\n", + "1 0 -0.741208\n", + "2 3 0.865824\n", + "3 2 0.865824\n", + "4 0 -0.582657\n", + "dtype: float64" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#import numpy as np\n", + "df = pd.DataFrame(np.random.random((5, 5)))\n", + "corr_series = df.corr().stack()\n", + "corr_series[(corr_series.map(math.fabs) >= 0.5) & (corr_series != 1.0)]\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Verifying summary statistics from BLS website:\n", + "###http://www.bls.gov/tus/charts/home.htm" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Americans >= 15 years old slept 8.7 hours, \n", + "2. spent 5.3 hours doing leisure/sports activities\n", + "3. 3.5 hours working\n", + "4. 1.8 hours doing household activities." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('tucaseid', 'atus_case_id'),\n", + " ('TUFINLWGT', 'atus_final_weight'),\n", + " ('TRYHHCHILD', 'youngest_child_age'),\n", + " ('TEAGE', 'age_edited'),\n", + " ('TESEX', 'gender'),\n", + " ('PEEDUCA', 'education_level'),\n", + " ('PTDTRACE', 'race'),\n", + " ('PEHSPNON', 'is_hispanic'),\n", + " ('GTMETSTA', 'metropolitan_status'),\n", + " ('TELFS', 'employment_status'),\n", + " ('TEMJOT', 'has_multiple_jobs'),\n", + " ('TRDPFTPT', 'work_status'),\n", + " ('TESCHENR', 'is_student'),\n", + " ('TESCHLVL', 'school_level'),\n", + " ('TRSPPRES', 'partner_present'),\n", + " ('TESPEMPNOT', 'partner_employed'),\n", + " ('TRERNWA', 'weekly_earnings_main'),\n", + " ('TRCHILDNUM', 'household_children'),\n", + " ('TRSPFTPT', 'partner_work_status'),\n", + " ('TEHRUSLT', 'weekly_hours_worked'),\n", + " ('TUDIARYDAY', 'date'),\n", + " ('TRHOLIDAY', 'is_holiday'),\n", + " ('TRTEC', 'eldercare_minutes'),\n", + " ('TRTHH', 'childcare_minutes'),\n", + " ('t010101', 'Sleeping'),\n", + " ('t010102', 'Sleeplessness'),\n", + " ('t010201', 'Washing, dressing and grooming oneself'),\n", + " ('t010299', 'Grooming, n.e.c.*'),\n", + " ('t010301', 'Health-related self care'),\n", + " ('t010399', 'Self care, n.e.c.*'),\n", + " ('t010401', 'Personal/Private activities'),\n", + " ('t020101', 'Interior cleaning'),\n", + " ('t020102', 'Laundry'),\n", + " ('t020103', 'Sewing, repairing, & maintaining textiles'),\n", + " ('t020104', 'Storing interior hh items, inc. food'),\n", + " ('t020199', 'Housework, n.e.c.*'),\n", + " ('t020201', 'Food and drink preparation'),\n", + " ('t020202', 'Food presentation'),\n", + " ('t020203', 'Kitchen and food clean-up'),\n", + " ('t020299', 'Food & drink prep, presentation, & clean-up, n.e.c.*'),\n", + " ('t020301', 'Interior arrangement, decoration, & repairs'),\n", + " ('t020302', 'Building and repairing furniture'),\n", + " ('t020303', 'Heating and cooling'),\n", + " ('t020399', 'Interior maintenance, repair, & decoration, n.e.c.*'),\n", + " ('t020401', 'Exterior cleaning'),\n", + " ('t020402', 'Exterior repair, improvements, & decoration'),\n", + " ('t020499', 'Exterior maintenance, repair & decoration, n.e.c.*'),\n", + " ('t020501', 'Lawn, garden, and houseplant care'),\n", + " ('t020502', 'Ponds, pools, and hot tubs'),\n", + " ('t020599', 'Lawn and garden, n.e.c.*'),\n", + " ('t020601', 'Care for animals and pets (not veterinary care)'),\n", + " ('t020602', 'Walking / exercising / playing with animals'),\n", + " ('t020699', 'Pet and animal care, n.e.c.*'),\n", + " ('t020701', 'Vehicle repair and maintenance (by self)'),\n", + " ('t020799', 'Vehicles, n.e.c.*'),\n", + " ('t020801',\n", + " 'Appliance, tool, and toy set-up, repair, & maintenance (by self)'),\n", + " ('t020899', 'Appliances and tools, n.e.c.*'),\n", + " ('t020901', 'Financial management'),\n", + " ('t020902', 'Household & personal organization and planning'),\n", + " ('t020903', 'HH & personal mail & messages (except e-mail)'),\n", + " ('t020904', 'HH & personal e-mail and messages'),\n", + " ('t020905', 'Home security'),\n", + " ('t020999', 'Household management, n.e.c.*'),\n", + " ('t029999', 'Household activities, n.e.c.*'),\n", + " ('t030101', 'Physical care for hh children'),\n", + " ('t030102', 'Reading to/with hh children'),\n", + " ('t030103', 'Playing with hh children, not sports'),\n", + " ('t030104', 'Arts and crafts with hh children'),\n", + " ('t030105', 'Playing sports with hh children'),\n", + " ('t030106', 'Talking with/listening to hh children'),\n", + " ('t030108', 'Organization & planning for hh children'),\n", + " ('t030109', 'Looking after hh children (as a primary activity)'),\n", + " ('t030110', \"Attending hh children's events\"),\n", + " ('t030111', 'Waiting for/with hh children'),\n", + " ('t030112', 'Picking up/dropping off hh children'),\n", + " ('t030199', 'Caring for & helping hh children, n.e.c.*'),\n", + " ('t030201', 'Homework (hh children)'),\n", + " ('t030202', 'Meetings and school conferences (hh children)'),\n", + " ('t030203', 'Home schooling of hh children'),\n", + " ('t030299', \"Activities related to hh child's education, n.e.c.*\"),\n", + " ('t030301', 'Providing medical care to hh children'),\n", + " ('t030302', 'Obtaining medical care for hh children'),\n", + " ('t030303', \"Waiting associated with hh children's health\"),\n", + " ('t030399', \"Activities related to hh child's health, n.e.c.*\"),\n", + " ('t030401', 'Physical care for hh adults'),\n", + " ('t030402', 'Looking after hh adult (as a primary activity)'),\n", + " ('t030403', 'Providing medical care to hh adult'),\n", + " ('t030404', 'Obtaining medical and care services for hh adult'),\n", + " ('t030405', 'Waiting associated with caring for household adults'),\n", + " ('t030499', 'Caring for household adults, n.e.c.*'),\n", + " ('t030501', 'Helping hh adults'),\n", + " ('t030502', 'Organization & planning for hh adults'),\n", + " ('t030503', 'Picking up/dropping off hh adult'),\n", + " ('t030504', 'Waiting associated with helping hh adults'),\n", + " ('t030599', 'Helping household adults, n.e.c.*'),\n", + " ('t039999', 'Caring for & helping hh members, n.e.c.*'),\n", + " ('t040101', 'Physical care for nonhh children'),\n", + " ('t040102', 'Reading to/with nonhh children'),\n", + " ('t040103', 'Playing with nonhh children, not sports'),\n", + " ('t040104', 'Arts and crafts with nonhh children'),\n", + " ('t040105', 'Playing sports with nonhh children'),\n", + " ('t040106', 'Talking with/listening to nonhh children'),\n", + " ('t040108', 'Organization & planning for nonhh children'),\n", + " ('t040109', 'Looking after nonhh children (as primary activity)'),\n", + " ('t040110', \"Attending nonhh children's events\"),\n", + " ('t040111', 'Waiting for/with nonhh children'),\n", + " ('t040112', 'Dropping off/picking up nonhh children'),\n", + " ('t040199', 'Caring for and helping nonhh children, n.e.c.*'),\n", + " ('t040201', 'Homework (nonhh children)'),\n", + " ('t040299', \"Activities related to nonhh child's educ., n.e.c.*\"),\n", + " ('t040301', 'Providing medical care to nonhh children'),\n", + " ('t040302', 'Obtaining medical care for nonhh children'),\n", + " ('t040401', 'Physical care for nonhh adults'),\n", + " ('t040402', 'Looking after nonhh adult (as a primary activity)'),\n", + " ('t040403', 'Providing medical care to nonhh adult'),\n", + " ('t040404', 'Obtaining medical and care services for nonhh adult'),\n", + " ('t040405', 'Waiting associated with caring for nonhh adults'),\n", + " ('t040499', 'Caring for nonhh adults, n.e.c.*'),\n", + " ('t040501', 'Housework, cooking, & shopping assistance for nonhh adults'),\n", + " ('t040502', 'House & lawn maintenance & repair assistance for nonhh adults'),\n", + " ('t040503', 'Animal & pet care assistance for nonhh adults'),\n", + " ('t040504',\n", + " 'Vehicle & appliance maintenance/repair assistance for nonhh adults'),\n", + " ('t040505', 'Financial management assistance for nonhh adults'),\n", + " ('t040506', 'Household management & paperwork assistance for nonhh adults'),\n", + " ('t040507', 'Picking up/dropping off nonhh adult'),\n", + " ('t040508', 'Waiting associated with helping nonhh adults'),\n", + " ('t040599', 'Helping nonhh adults, n.e.c.*'),\n", + " ('t050101', 'Work, main job'),\n", + " ('t050102', 'Work, other job(s)'),\n", + " ('t050103', 'Security procedures related to work'),\n", + " ('t050104', 'Waiting associated with working'),\n", + " ('t050199', 'Working, n.e.c.*'),\n", + " ('t050201', 'Socializing, relaxing, and leisure as part of job'),\n", + " ('t050202', 'Eating and drinking as part of job'),\n", + " ('t050205', 'Waiting associated with work-related activities'),\n", + " ('t050301', 'Income-generating hobbies, crafts, and food'),\n", + " ('t050302', 'Income-generating performances'),\n", + " ('t050303', 'Income-generating services'),\n", + " ('t050304', 'Income-generating rental property activities'),\n", + " ('t050305', 'Waiting associated with other income-generating activities'),\n", + " ('t050399', 'Other income-generating activities, n.e.c.*'),\n", + " ('t050401', 'Job search activities'),\n", + " ('t050403', 'Job interviewing'),\n", + " ('t050404', 'Waiting associated with job search or interview'),\n", + " ('t059999', 'Work and work-related activities, n.e.c.*'),\n", + " ('t060101', 'Taking class for degree, certification, or licensure'),\n", + " ('t060102', 'Taking class for personal interest'),\n", + " ('t060103', 'Waiting associated with taking classes'),\n", + " ('t060199', 'Taking class, n.e.c.*'),\n", + " ('t060201', 'Extracurricular club activities'),\n", + " ('t060202', 'Extracurricular music & performance activities'),\n", + " ('t060299', 'Education-related extracurricular activities, n.e.c.*'),\n", + " ('t060301',\n", + " 'Research/homework for class for degree, certification, or licensure'),\n", + " ('t060302', 'Research/homework for class for pers. interest'),\n", + " ('t060303', 'Waiting associated with research/homework'),\n", + " ('t060399', 'Research/homework n.e.c.*'),\n", + " ('t060401',\n", + " 'Administrative activities: class for degree, certification, or licensure'),\n", + " ('t060402', 'Administrative activities: class for personal interest'),\n", + " ('t060403', 'Waiting associated w/admin. activities (education)'),\n", + " ('t060499', 'Administrative for education, n.e.c.*'),\n", + " ('t069999', 'Education, n.e.c.*'),\n", + " ('t070101', 'Grocery shopping'),\n", + " ('t070102', 'Purchasing gas'),\n", + " ('t070103', 'Purchasing food (not groceries)'),\n", + " ('t070104', 'Shopping, except groceries, food and gas'),\n", + " ('t070105', 'Waiting associated with shopping'),\n", + " ('t070201', 'Comparison shopping'),\n", + " ('t080101', 'Using paid childcare services'),\n", + " ('t080201', 'Banking'),\n", + " ('t080202', 'Using other financial services'),\n", + " ('t080203', 'Waiting associated w/banking/financial services'),\n", + " ('t080301', 'Using legal services'),\n", + " ('t080401', 'Using health and care services outside the home'),\n", + " ('t080402', 'Using in-home health and care services'),\n", + " ('t080403', 'Waiting associated with medical services'),\n", + " ('t080499', 'Using medical services, n.e.c.*'),\n", + " ('t080501', 'Using personal care services'),\n", + " ('t080502', 'Waiting associated w/personal care services'),\n", + " ('t080601', 'Activities rel. to purchasing/selling real estate'),\n", + " ('t080602', 'Waiting associated w/purchasing/selling real estate'),\n", + " ('t080701', 'Using veterinary services'),\n", + " ('t080702', 'Waiting associated with veterinary services'),\n", + " ('t089999', 'Professional and personal services, n.e.c.*'),\n", + " ('t090101', 'Using interior cleaning services'),\n", + " ('t090103', 'Using clothing repair and cleaning services'),\n", + " ('t090199', 'Using household services, n.e.c.*'),\n", + " ('t090201', 'Using home maint/repair/décor/construction svcs'),\n", + " ('t090202', 'Waiting associated w/ home main/repair/décor/constr'),\n", + " ('t090301', 'Using pet services'),\n", + " ('t090302', 'Waiting associated with pet services'),\n", + " ('t090399', 'Using pet services, n.e.c.*'),\n", + " ('t090401', 'Using lawn and garden services'),\n", + " ('t090499', 'Using lawn and garden services, n.e.c.*'),\n", + " ('t090501', 'Using vehicle maintenance or repair services'),\n", + " ('t090502', 'Waiting associated with vehicle main. or repair svcs'),\n", + " ('t090599', 'Using vehicle maint. & repair svcs, n.e.c.*'),\n", + " ('t099999', 'Using household services, n.e.c.*'),\n", + " ('t100101', 'Using police and fire services'),\n", + " ('t100102', 'Using social services'),\n", + " ('t100103', 'Obtaining licenses & paying fines, fees, taxes'),\n", + " ('t100199', 'Using government services, n.e.c.*'),\n", + " ('t100201', 'Civic obligations & participation'),\n", + " ('t100304', 'Waiting associated with using government services'),\n", + " ('t100499',\n", + " 'Security procedures rel. to govt svcs/civic obligations, n.e.c.*'),\n", + " ('t109999', 'Government services, n.e.c.*'),\n", + " ('t110101', 'Eating and drinking'),\n", + " ('t110201', 'Waiting associated w/eating & drinking'),\n", + " ('t120101', 'Socializing and communicating with others'),\n", + " ('t120201', 'Attending or hosting parties/receptions/ceremonies'),\n", + " ('t120202', 'Attending meetings for personal interest (not volunteering)'),\n", + " ('t120299', 'Attending/hosting social events, n.e.c.*'),\n", + " ('t120301', 'Relaxing, thinking'),\n", + " ('t120302', 'Tobacco and drug use'),\n", + " ('t120303', 'Television and movies (not religious)'),\n", + " ('t120304', 'Television (religious)'),\n", + " ('t120305', 'Listening to the radio'),\n", + " ('t120306', 'Listening to/playing music (not radio)'),\n", + " ('t120307', 'Playing games'),\n", + " ('t120308', 'Computer use for leisure (excluding games)'),\n", + " ('t120309', 'Arts and crafts as a hobby'),\n", + " ('t120310', 'Collecting as a hobby'),\n", + " ('t120311', 'Hobbies, except arts & crafts and collecting'),\n", + " ('t120312', 'Reading for personal interest'),\n", + " ('t120313', 'Writing for personal interest'),\n", + " ('t120399', 'Relaxing and leisure, n.e.c.*'),\n", + " ('t120401', 'Attending performing arts'),\n", + " ('t120402', 'Attending museums'),\n", + " ('t120403', 'Attending movies/film'),\n", + " ('t120404', 'Attending gambling establishments'),\n", + " ('t120499', 'Arts and entertainment, n.e.c.*'),\n", + " ('t120501', 'Waiting assoc. w/socializing & communicating'),\n", + " ('t120502', 'Waiting assoc. w/attending/hosting social events'),\n", + " ('t120503', 'Waiting associated with relaxing/leisure'),\n", + " ('t120504', 'Waiting associated with arts & entertainment'),\n", + " ('t120599', 'Waiting associated with socializing, n.e.c.*'),\n", + " ('t129999', 'Socializing, relaxing, and leisure, n.e.c.*'),\n", + " ('t130101', 'Doing aerobics'),\n", + " ('t130102', 'Playing baseball'),\n", + " ('t130103', 'Playing basketball'),\n", + " ('t130104', 'Biking'),\n", + " ('t130105', 'Playing billiards'),\n", + " ('t130106', 'Boating'),\n", + " ('t130107', 'Bowling'),\n", + " ('t130108', 'Climbing, spelunking, caving'),\n", + " ('t130109', 'Dancing'),\n", + " ('t130110', 'Participating in equestrian sports'),\n", + " ('t130112', 'Fishing'),\n", + " ('t130113', 'Playing football'),\n", + " ('t130114', 'Golfing'),\n", + " ('t130115', 'Doing gymnastics'),\n", + " ('t130116', 'Hiking'),\n", + " ('t130117', 'Playing hockey'),\n", + " ('t130118', 'Hunting'),\n", + " ('t130119', 'Participating in martial arts'),\n", + " ('t130120', 'Playing racquet sports'),\n", + " ('t130122', 'Rollerblading'),\n", + " ('t130123', 'Playing rugby'),\n", + " ('t130124', 'Running'),\n", + " ('t130125', 'Skiing, ice skating, snowboarding'),\n", + " ('t130126', 'Playing soccer'),\n", + " ('t130127', 'Softball'),\n", + " ('t130128', 'Using cardiovascular equipment'),\n", + " ('t130129', 'Vehicle touring/racing'),\n", + " ('t130130', 'Playing volleyball'),\n", + " ('t130131', 'Walking'),\n", + " ('t130132', 'Participating in water sports'),\n", + " ('t130133', 'Weightlifting/strength training'),\n", + " ('t130134', 'Working out, unspecified'),\n", + " ('t130135', 'Wrestling'),\n", + " ('t130136', 'Doing yoga'),\n", + " ('t130199', 'Playing sports n.e.c.*'),\n", + " ('t130202', 'Watching baseball'),\n", + " ('t130203', 'Watching basketball'),\n", + " ('t130205', 'Watching billiards'),\n", + " ('t130206', 'Watching boating'),\n", + " ('t130207', 'Watching bowling'),\n", + " ('t130210', 'Watching equestrian sports'),\n", + " ('t130213', 'Watching football'),\n", + " ('t130215', 'Watching gymnastics'),\n", + " ('t130216', 'Watching hockey'),\n", + " ('t130218', 'Watching racquet sports'),\n", + " ('t130219', 'Watching rodeo competitions'),\n", + " ('t130220', 'Watching rollerblading'),\n", + " ('t130221', 'Watching rugby'),\n", + " ('t130222', 'Watching running'),\n", + " ('t130223', 'Watching skiing, ice skating, snowboarding'),\n", + " ('t130224', 'Watching soccer'),\n", + " ('t130225', 'Watching softball'),\n", + " ('t130226', 'Watching vehicle touring/racing'),\n", + " ('t130227', 'Watching volleyball'),\n", + " ('t130229', 'Watching water sports'),\n", + " ('t130232', 'Watching wrestling'),\n", + " ('t130299', 'Attending sporting events, n.e.c.*'),\n", + " ('t130301', 'Waiting related to playing sports or exercising'),\n", + " ('t130302', 'Waiting related to attending sporting events'),\n", + " ('t139999', 'Sports, exercise, & recreation, n.e.c.*'),\n", + " ('t140101', 'Attending religious services'),\n", + " ('t140102', 'Participation in religious practices'),\n", + " ('t140103', 'Waiting associated w/religious & spiritual activities'),\n", + " ('t140105', 'Religious education activities'),\n", + " ('t149999', 'Religious and spiritual activities, n.e.c.*'),\n", + " ('t150101', 'Computer use'),\n", + " ('t150102', 'Organizing and preparing'),\n", + " ('t150103', 'Reading'),\n", + " ('t150104', 'Telephone calls (except hotline counseling)'),\n", + " ('t150105', 'Writing'),\n", + " ('t150106', 'Fundraising'),\n", + " ('t150199', 'Administrative & support activities, n.e.c.*'),\n", + " ('t150201', 'Food preparation, presentation, clean-up'),\n", + " ('t150202', 'Collecting & delivering clothing & other goods'),\n", + " ('t150203', 'Providing care'),\n", + " ('t150204', 'Teaching, leading, counseling, mentoring'),\n", + " ('t150299', 'Social service & care activities, n.e.c.*'),\n", + " ('t150301', 'Building houses, wildlife sites, & other structures'),\n", + " ('t150302', 'Indoor & outdoor maintenance, repair, & clean-up'),\n", + " ('t150399',\n", + " 'Indoor & outdoor maintenance, building & clean-up activities, n.e.c.*'),\n", + " ('t150401', 'Performing'),\n", + " ('t150402', 'Serving at volunteer events & cultural activities'),\n", + " ('t150499', 'Participating in performance & cultural activities, n.e.c.*'),\n", + " ('t150501', 'Attending meetings, conferences, & training'),\n", + " ('t150599', 'Attending meetings, conferences, & training, n.e.c.*'),\n", + " ('t150601', 'Public health activities'),\n", + " ('t150602', 'Public safety activities'),\n", + " ('t150699', 'Public health & safety activities, n.e.c.*'),\n", + " ('t150701', 'Waiting associated with volunteer activities'),\n", + " ('t150801', 'Security procedures related to volunteer activities'),\n", + " ('t159999', 'Volunteer activities, n.e.c.*'),\n", + " ('t160101', 'Telephone calls to/from family members'),\n", + " ('t160102', 'Telephone calls to/from friends, neighbors, or acquaintances'),\n", + " ('t160103', 'Telephone calls to/from education services providers'),\n", + " ('t160104', 'Telephone calls to/from salespeople'),\n", + " ('t160105',\n", + " 'Telephone calls to/from professional or personal care svcs providers'),\n", + " ('t160106', 'Telephone calls to/from household services providers'),\n", + " ('t160107', 'Telephone calls to/from paid child or adult care providers'),\n", + " ('t160108', 'Telephone calls to/from government officials'),\n", + " ('t160199', 'Telephone calls (to or from), n.e.c.*'),\n", + " ('t160201', 'Waiting associated with telephone calls'),\n", + " ('t169999', 'Telephone calls, n.e.c.*'),\n", + " ('t180101', 'Travel related to personal care'),\n", + " ('t180199', 'Travel related to personal care, n.e.c.*'),\n", + " ('t180201', 'Travel related to housework'),\n", + " ('t180202', 'Travel related to food & drink prep., clean-up, & presentation'),\n", + " ('t180203', 'Travel related to interior maintenance, repair, & decoration'),\n", + " ('t180204', 'Travel related to exterior maintenance, repair, & decoration'),\n", + " ('t180205', 'Travel related to lawn, garden, and houseplant care'),\n", + " ('t180206', 'Travel related to care for animals and pets (not vet care)'),\n", + " ('t180207', 'Travel related to vehicle care & maintenance (by self)'),\n", + " ('t180208',\n", + " 'Travel related to appliance, tool, and toy set-up, repair, & maintenance (by self)'),\n", + " ('t180209', 'Travel related to household management'),\n", + " ('t180299', 'Travel related to household activities, n.e.c.*'),\n", + " ('t180301', 'Travel related to caring for & helping hh children'),\n", + " ('t180302', \"Travel related to hh children's education\"),\n", + " ('t180303', \"Travel related to hh children's health\"),\n", + " ('t180304', 'Travel related to caring for hh adults'),\n", + " ('t180305', 'Travel related to helping hh adults'),\n", + " ('t180401', 'Travel related to caring for and helping nonhh children'),\n", + " ('t180402', \"Travel related to nonhh children's education\"),\n", + " ('t180403', \"Travel related to nonhh children's health\"),\n", + " ('t180404', 'Travel related to caring for nonhh adults'),\n", + " ('t180405', 'Travel related to helping nonhh adults'),\n", + " ('t180501', 'Travel related to working'),\n", + " ('t180502', 'Travel related to work-related activities'),\n", + " ('t180503', 'Travel related to income-generating activities'),\n", + " ('t180504', 'Travel related to job search & interviewing'),\n", + " ('t180599', 'Travel related to work, n.e.c.*'),\n", + " ('t180601', 'Travel related to taking class'),\n", + " ('t180602', 'Travel related to extracurricular activities (ex. Sports)'),\n", + " ('t180603', 'Travel related to research/homework'),\n", + " ('t180604', 'Travel related to registration/administrative activities'),\n", + " ('t180699', 'Travel related to education, n.e.c.*'),\n", + " ('t180701', 'Travel related to grocery shopping'),\n", + " ('t180702', 'Travel related to purchasing gas'),\n", + " ('t180703', 'Travel related to purchasing food (not groceries)'),\n", + " ('t180704', 'Travel related to shopping, ex groceries, food, and gas'),\n", + " ('t180799', 'Travel related to consumer purchases, n.e.c.*'),\n", + " ('t180801', 'Travel related to using childcare services'),\n", + " ('t180802', 'Travel related to using financial services and banking'),\n", + " ('t180803', 'Travel related to using legal services'),\n", + " ('t180804', 'Travel related to using medical services'),\n", + " ('t180805', 'Travel related to using personal care services'),\n", + " ('t180806', 'Travel related to using real estate services'),\n", + " ('t180807', 'Travel related to using veterinary services'),\n", + " ('t180899', 'Travel rel. to using prof. & personal care services, n.e.c.*'),\n", + " ('t180901', 'Travel related to using household services'),\n", + " ('t180902',\n", + " 'Travel related to using home main./repair/décor./construction svcs'),\n", + " ('t180903', 'Travel related to using pet services (not vet)'),\n", + " ('t180904', 'Travel related to using lawn and garden services'),\n", + " ('t180905', 'Travel related to using vehicle maintenance & repair services'),\n", + " ('t180999', 'Travel related to using household services, n.e.c.*'),\n", + " ('t181001', 'Travel related to using government services'),\n", + " ('t181002', 'Travel related to civic obligations & participation'),\n", + " ('t181099', 'Travel rel. to govt svcs & civic obligations, n.e.c.*'),\n", + " ('t181101', 'Travel related to eating and drinking'),\n", + " ('t181201', 'Travel related to socializing and communicating'),\n", + " ('t181202', 'Travel related to attending or hosting social events'),\n", + " ('t181203', 'Travel related to relaxing and leisure'),\n", + " ('t181204', 'Travel related to arts and entertainment'),\n", + " ('t181205', 'Travel as a form of entertainment'),\n", + " ('t181299', 'Travel rel. to socializing, relaxing, & leisure, n.e.c.*'),\n", + " ('t181301', 'Travel related to participating in sports/exercise/recreation'),\n", + " ('t181302', 'Travel related to attending sporting/recreational events'),\n", + " ('t181401', 'Travel related to religious/spiritual practices'),\n", + " ('t181499', 'Travel rel. to religious/spiritual activities, n.e.c.*'),\n", + " ('t181501', 'Travel related to volunteering'),\n", + " ('t181599', 'Travel related to volunteer activities, n.e.c.*'),\n", + " ('t181601', 'Travel related to phone calls'),\n", + " ('t181801', 'Security procedures related to traveling'),\n", + " ('t189999', 'Traveling, n.e.c.*'),\n", + " ('t500101', 'Insufficient detail in verbatim'),\n", + " ('t500103', 'Missing travel or destination'),\n", + " ('t500105',\n", + " 'Respondent refused to provide information/\"none of your business\"'),\n", + " ('t500106', \"Gap/can't remember\"),\n", + " ('t500107', 'Unable to code activity at 1st tier')]" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = summary3 # The dataframe with meaningful column names\n", + "[col for col in s.columns if not col[1].startswith('t')] # the summary demographic information about respondents" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t01': 'Personal Care',\n", + " 't02': 'Household Activities',\n", + " 't03': 'Caring For & Helping Household (HH) Members',\n", + " 't04': 'Caring For & Helping Nonhousehold (NonHH) Members',\n", + " 't05': 'Work & Work-Related Activities',\n", + " 't06': 'Education',\n", + " 't07': 'Consumer Purchases',\n", + " 't08': 'Professional & Personal Care Services',\n", + " 't09': 'Household Services',\n", + " 't10': 'Government Services & Civic Obligations',\n", + " 't11': 'Eating and Drinking',\n", + " 't12': 'Socializing, Relaxing, and Leisure',\n", + " 't13': 'Sports, Exercise, and Recreation',\n", + " 't14': 'Religious and Spiritual Activities',\n", + " 't15': 'Volunteer Activities',\n", + " 't16': 'Telephone Calls',\n", + " 't18': 'Traveling',\n", + " 't50': 'Data Codes'}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.categories # The major categories of activities" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sleeping'" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.sub_categories['t0101']" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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tucaseidTUFINLWGTTRYHHCHILDTEAGETESEXPEEDUCAPTDTRACEPEHSPNONGTMETSTATELFS...t181501t181599t181601t181801t189999t500101t500103t500105t500106t500107
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5 rows × 413 columns

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" + ], + "text/plain": [ + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX PEEDUCA \\\n", + "0 20130101130004 11899905.662034 12 22 2 40 \n", + "1 20130101130112 4447638.009513 1 39 1 43 \n", + "2 20130101130123 10377056.507734 -1 47 2 40 \n", + "3 20130101130611 7731257.992805 -1 50 2 40 \n", + "4 20130101130616 4725269.227067 -1 45 2 40 \n", + "\n", + " PTDTRACE PEHSPNON GTMETSTA TELFS ... t181501 t181599 t181601 \\\n", + "0 8 2 1 5 ... 0 0 0 \n", + "1 1 2 1 1 ... 0 0 0 \n", + "2 1 2 1 4 ... 25 0 0 \n", + "3 1 1 1 1 ... 0 0 0 \n", + "4 2 2 1 1 ... 0 0 0 \n", + "\n", + " t181801 t189999 t500101 t500103 t500105 t500106 t500107 \n", + "0 0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 0 \n", + "\n", + "[5 rows x 413 columns]" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "avg_american_crit = summary.TEAGE >= 15\n", + "american = s[avg_american_crit]\n", + "a = american\n", + "b = a\n", + "b.columns = a.columns.droplevel(1) # To remove MultiIndex\n", + "a.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['t010101', 't010102']" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + " \n", + "atus.search_codes('sleep')\n", + "sleep_activities = atus.pick_activities('sleep')\n", + "sleep_activities = sleep_activities[:-1] ##t010199 not in summary for some reason\n", + "sleep_activities\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "8.7381765406301852" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#c = b.groupby('tucaseid')[sleep_activities]\n", + "c = b.set_index('tucaseid')\n", + "d = c[sleep_activities].sum(axis=1) * c.TUFINLWGT\n", + "d.sum() / c.TUFINLWGT.sum() / 60\n", + "# [sleep_activities.extend]#.groupby('tucaseid')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ Test 1/4 passed ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('t050203', 'Sports and exercise as part of job'),\n", + " ('t130229', 'Watching water sports'),\n", + " ('t130199', 'Playing sports n.e.c.*'),\n", + " ('t0602', 'Extracurricular School Activities (Except Sports)'),\n", + " ('t030103', 'Playing with hh children, not sports'),\n", + " ('t1204', 'Arts and Entertainment (other than sports)'),\n", + " ('t139999', 'Sports, exercise, & recreation, n.e.c.*'),\n", + " ('t1813', 'Travel Related to Sports, Exercise, & Recreation'),\n", + " ('t130218', 'Watching racquet sports'),\n", + " ('t1304', 'Security Procedures Rel. to Sports, Exercise, & Recreation'),\n", + " ('t181399', 'Travel related to sports, exercise, & recreation, n.e.c.*'),\n", + " ('t130132', 'Participating in water sports'),\n", + " ('t180602', 'Travel related to extracurricular activities (ex. Sports)'),\n", + " ('t130499', 'Security related to sports, exercise, & recreation, n.e.c.*'),\n", + " ('t1303', 'Waiting Associated with Sports, Exercise, & Recreation'),\n", + " ('t13', 'Sports, Exercise, and Recreation'),\n", + " ('t040105', 'Playing sports with nonhh children'),\n", + " ('t1301', 'Participating in Sports, Exercise, or Recreation'),\n", + " ('t130210', 'Watching equestrian sports'),\n", + " ('t1399', 'Sports, Exercise, & Recreation, n.e.c.*'),\n", + " ('t130401', 'Security related to playing sports or exercising'),\n", + " ('t130301', 'Waiting related to playing sports or exercising'),\n", + " ('t130110', 'Participating in equestrian sports'),\n", + " ('t030105', 'Playing sports with hh children'),\n", + " ('t130120', 'Playing racquet sports'),\n", + " ('t130399',\n", + " 'Waiting associated with sports, exercise, & recreation, n.e.c.*'),\n", + " ('t040103', 'Playing with nonhh children, not sports'),\n", + " ('t181301', 'Travel related to participating in sports/exercise/recreation')]" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "atus.search_codes('leisure') # t12----\n", + "atus.search_codes('sports') # t13----\n", + "#pick_activities('leisure')" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5.0343812445470784" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "snl = atus.activity_columns(b, \"12\")\n", + "snl.extend(atus.activity_columns(b, \"13\"))\n", + "#snl.extend(['t030105'])\n", + "e = b.set_index('tucaseid')\n", + "f = e[snl].rename(columns=pa.codes_dict)\n", + "g = f.sum(axis=1) * e.TUFINLWGT\n", + "g.sum() / c.TUFINLWGT.sum() / 60\n", + "# Matches: average_minutes2(b, \"12\") / 60 + average_minutes2(b, \"13\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ 2/4 (close, but got 5.04 instead of 5.3...) ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/atus.py:91: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " data['minutes'] = activity_sums\n" + ] + }, + { + "data": { + "text/plain": [ + "3.2018469853082667" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "atus.search_codes('work') # t05\n", + "atus.average_minutes2(b, \"05\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ close to 3.5 hours expected ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/atus.py:91: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " data['minutes'] = activity_sums\n" + ] + }, + { + "data": { + "text/plain": [ + "1.7825438820657689" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.categories['t02']\n", + "atus.average_minutes2(b, \"02\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ 4/4 matches 1.8 hours ^^" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Analyses using the imported data" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "###First, define population groups for analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "adults_crit = summary.TEAGE >= 18\n", + "no_children_crit = summary.TRCHILDNUM == 0" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[10953, 6481]" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adults = summary[adults_crit]\n", + "adults_with_no_children = summary[adults_crit & no_children_crit]\n", + "\n", + "[len(group) for group in [adults, adults_with_no_children]]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('atus_case_id', 'tucaseid'),\n", + " ('atus_final_weight', 'TUFINLWGT'),\n", + " ('youngest_child_age', 'TRYHHCHILD'),\n", + " ('age_edited', 'TEAGE'),\n", + " ('gender', 'TESEX'),\n", + " ('education_level', 'PEEDUCA'),\n", + " ('race', 'PTDTRACE'),\n", + " ('is_hispanic', 'PEHSPNON'),\n", + " ('metropolitan_status', 'GTMETSTA'),\n", + " ('employment_status', 'TELFS'),\n", + " ('has_multiple_jobs', 'TEMJOT'),\n", + " ('work_status', 'TRDPFTPT'),\n", + " ('is_student', 'TESCHENR'),\n", + " ('school_level', 'TESCHLVL'),\n", + " ('partner_present', 'TRSPPRES'),\n", + " ('partner_employed', 'TESPEMPNOT'),\n", + " ('weekly_earnings_main', 'TRERNWA'),\n", + " ('household_children', 'TRCHILDNUM'),\n", + " ('partner_work_status', 'TRSPFTPT'),\n", + " ('weekly_hours_worked', 'TEHRUSLT'),\n", + " ('date', 'TUDIARYDAY'),\n", + " ('is_holiday', 'TRHOLIDAY'),\n", + " ('eldercare_minutes', 'TRTEC'),\n", + " ('childcare_minutes', 'TRTHH')]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(zip(meanings_unsorted, summary.columns[:24]))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "q = summary\n", + "q.groupby('TRYHHCHILD').size()[1:].plot(kind='bar',title='Youngest Child Age')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#####Youngest child ranges from 0 to 17, with > 200 observations at each age, so we should have enough data for some meaningful analysis" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###How much more sleep do non-parents get than parents of newborns?" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "adults = summary[summary.TEAGE > 17]\n", + "newborn_parents = adults[adults.TRYHHCHILD == 0].set_index('tucaseid')\n", + "non_parents = adults[adults.TRYHHCHILD == -1].set_index('tucaseid')\n", + "cols = [col for col in newborn_parents]" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0019294840010831" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nonp_sleeping = atus.average_minutes(non_parents, '010101')\n", + "newp_sleeping = atus.average_minutes(newborn_parents, '010101')\n", + "nonp_sleeping/newp_sleeping # Ratio of sleep for non-parents vs parents of newborns\n", + "# This does not make sense! I would expect a much higher ratio." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "####Answer: According to the data, it's very close between the two groups\n", + "\n", + "###But what about mother versus fathers of newborns?\n", + "Simplifying assumption: An adult living with a child less than 1 year old is assumed to be the parent" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/atus.py:91: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " data['minutes'] = activity_sums\n" + ] + }, + { + "data": { + "text/plain": [ + "(0.91401130648683016,\n", + " 0.90939161311771977,\n", + " 2.8667183758724453,\n", + " 3.6679397871643138)" + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "n = newborn_parents\n", + "dads = n[n.TESEX==1]\n", + "moms = n[n.TESEX==2]\n", + "all_sleep = atus.average_minutes2(dads, '0101') / atus.average_minutes2(moms, '0101')\n", + "full_sleep = atus.average_minutes2(dads, '010101') / atus.average_minutes2(moms, '010101')\n", + "sleepless = atus.average_minutes2(dads, '010102') / atus.average_minutes2(moms, '010102')\n", + "dad_sleepless = atus.average_minutes2(dads, '010102')\n", + "all_sleep, full_sleep, sleepless, dad_sleepless" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "####This shows that fathers of newborns (< 1 year old) get an average of ~91% the sleep that mothers get, and have spend nearly 3 times as much time experiencing sleeplessness.\n", + "On further inspection, however, the average sleeplessness figure is only 3.7 minutes, so the difference in sleeplessness is not likely significant." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###How does time spent on lawn/garden/houseplants vary with age of youngest child?\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/atus.py:65: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n", + " data[str(col+'_wgt')] = data.TUFINLWGT * data[col]\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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Bs9K0tE0RzbXAcGB8wk2hckXkF6YgvvU16FtZVJo/nYeU1z+HKOzXEhGyg3EC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\nxgeBZOX8xaSHZpq6lbZlWcM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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#q.groupby('TRYHHCHILD').size()[1:].plot(kind='bar',title='Youngest Child Age')\n", + "atus.search_codes('lawn') # We want t020501\n", + "q['t020501_wtd']=atus.weighted_col(q,'t020501')\n", + "weights = q.groupby('TRYHHCHILD').TUFINLWGT.sum()\n", + "q2 = q.groupby(['TRYHHCHILD', 'TESEX']).t020501_wtd.sum().unstack().rename(columns={1:\"Male\", 2:\"Female\"})\n", + "qm = q2['Male'] / weights\n", + "qf = q2['Female'] / weights #.plot(kind='bar')\n", + "qm.plot()\n", + "qf.plot()\n", + "#q.t020501_wtd.max() == 14042618631.02562 !!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "####Conclusion: It would appear that new babies have a deleterious effect on the time spent tending the lawn, garden, and houseplants. Adults without children, appear to consistently spend more time caring for plants than parents do." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Age Study: What correlations appear in different age ranges?\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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youngmiddleoldelderly
TRYHHCHILDTEAGE-0.645934NaNNaNNaN
PEEDUCA-0.554112NaNNaNNaN
TEAGETRYHHCHILD-0.645934NaNNaNNaN
PEEDUCA0.769781NaNNaNNaN
TESCHENR0.518341NaN-0.830725NaN
PEEDUCATRYHHCHILD-0.554112NaNNaNNaN
TEAGE0.769781NaNNaNNaN
TRERNWA0.519389NaNNaNNaN
TELFSTEMJOT-0.969841-0.960508-0.970220-0.988260
TRDPFTPT-0.940963-0.916558-0.936548-0.970697
TRERNWA-0.614540-0.502659-0.541707-0.556962
TEHRUSLT-0.776334-0.767314-0.783603-0.813304
t050101-0.534875NaNNaN-0.598549
TEMJOTTELFS-0.969841-0.960508-0.970220-0.988260
TRDPFTPT0.9559570.9154430.9370180.974041
TRERNWA0.6197270.5063140.5484190.553724
TEHRUSLT0.7667860.7450690.7707100.810455
t0501010.533608NaNNaN0.589187
TRDPFTPTTELFS-0.940963-0.916558-0.936548-0.970697
TEMJOT0.9559570.9154430.9370180.974041
TEHRUSLT0.6409910.5974720.6513170.713157
TESCHENRTEAGE0.518341NaN-0.830725NaN
TESCHLVL-0.957168-0.998743NaNNaN
TESCHLVLTESCHENR-0.957168-0.998743NaNNaN
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" + ], + "text/plain": [ + " young middle old elderly\n", + "TRYHHCHILD TEAGE -0.645934 NaN NaN NaN\n", + " PEEDUCA -0.554112 NaN NaN NaN\n", + "TEAGE TRYHHCHILD -0.645934 NaN NaN NaN\n", + " PEEDUCA 0.769781 NaN NaN NaN\n", + " TESCHENR 0.518341 NaN -0.830725 NaN\n", + "PEEDUCA TRYHHCHILD -0.554112 NaN NaN NaN\n", + " TEAGE 0.769781 NaN NaN NaN\n", + " TRERNWA 0.519389 NaN NaN NaN\n", + "TELFS TEMJOT -0.969841 -0.960508 -0.970220 -0.988260\n", + " TRDPFTPT -0.940963 -0.916558 -0.936548 -0.970697\n", + " TRERNWA -0.614540 -0.502659 -0.541707 -0.556962\n", + " TEHRUSLT -0.776334 -0.767314 -0.783603 -0.813304\n", + " t050101 -0.534875 NaN NaN -0.598549\n", + "TEMJOT TELFS -0.969841 -0.960508 -0.970220 -0.988260\n", + " TRDPFTPT 0.955957 0.915443 0.937018 0.974041\n", + " TRERNWA 0.619727 0.506314 0.548419 0.553724\n", + " TEHRUSLT 0.766786 0.745069 0.770710 0.810455\n", + " t050101 0.533608 NaN NaN 0.589187\n", + "TRDPFTPT TELFS -0.940963 -0.916558 -0.936548 -0.970697\n", + " TEMJOT 0.955957 0.915443 0.937018 0.974041\n", + " TEHRUSLT 0.640991 0.597472 0.651317 0.713157\n", + "TESCHENR TEAGE 0.518341 NaN -0.830725 NaN\n", + " TESCHLVL -0.957168 -0.998743 NaN NaN\n", + "TESCHLVL TESCHENR -0.957168 -0.998743 NaN NaN\n", + "TRSPPRES TESPEMPNOT -0.933811 -0.919513 -0.942587 -0.973212\n", + " TRSPFTPT -0.826232 -0.713881 -0.677617 NaN\n", + "TESPEMPNOT TRSPPRES -0.933811 -0.919513 -0.942587 -0.973212\n", + " TRSPFTPT 0.737312 0.518566 NaN NaN\n", + "TRERNWA PEEDUCA 0.519389 NaN NaN NaN\n", + " TELFS -0.614540 -0.502659 -0.541707 -0.556962\n", + "... ... ... ... ...\n", + "t180302 t030202 0.995887 NaN NaN NaN\n", + " t150103 0.706817 NaN NaN NaN\n", + "t180303 t030302 0.768044 0.614898 0.795934 NaN\n", + " t030399 0.511574 NaN NaN NaN\n", + "t180305 t030503 0.544374 NaN 0.573998 0.677446\n", + "t180401 t040112 0.687961 0.665140 0.567383 0.568455\n", + "t180402 t040201 1.000000 NaN NaN NaN\n", + "t180405 t040507 0.527021 0.684310 0.577531 NaN\n", + "t180501 t050101 0.622210 0.564704 0.608668 0.569880\n", + "t180503 t050303 0.533301 NaN NaN 0.659905\n", + "t180504 t050403 0.656558 0.556218 NaN NaN\n", + "t180601 t060101 0.592609 0.622272 NaN NaN\n", + "t180602 t060202 0.647550 NaN NaN NaN\n", + "t180604 t060401 0.735603 NaN NaN NaN\n", + "t180699 t069999 0.744980 NaN NaN NaN\n", + "t180701 t070101 0.721018 0.713634 0.618945 0.649890\n", + "t180703 t070103 0.602409 NaN 0.543274 NaN\n", + "t180704 t070104 0.636859 0.586572 0.545787 0.627832\n", + "t180799 t070201 1.000000 NaN NaN NaN\n", + "t180802 t010299 0.848694 NaN NaN NaN\n", + "t180804 t080401 0.534241 0.659544 0.504454 0.550535\n", + "t180805 t080501 0.591858 0.763118 0.700922 0.804227\n", + "t180806 t080601 0.835212 0.533930 NaN 0.706947\n", + "t180899 t089999 0.999695 0.987416 NaN NaN\n", + "t180905 t090501 0.707283 0.637981 0.535145 NaN\n", + "t181001 t100103 0.559361 NaN NaN NaN\n", + "t181202 t120201 0.528323 0.645162 0.644864 0.628333\n", + "t181302 t130224 0.536871 NaN NaN NaN\n", + "t181401 t140101 0.649691 0.621934 0.618547 0.555856\n", + "t020501_wtd t020501 0.776297 0.823752 0.788769 0.799383\n", + "\n", + "[146 rows x 4 columns]" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Define Age Groups: <=25, <=40, <=65, >65\n", + "a = summary\n", + "age_df = pd.DataFrame()\n", + "young = summary.TEAGE <= 25\n", + "middle = (summary.TEAGE <= 40) & ~young\n", + "elderly = summary.TEAGE > 65\n", + "old = (summary.TEAGE > 40) & ~elderly\n", + "#summary[elderly].TEAGE.head()\n", + "for i, age_group in enumerate([young, middle, old, elderly]):\n", + " age_string = ['young', 'middle', 'old', 'elderly']\n", + " corr_series = a[age_group].corr().stack()\n", + " age_df[age_string[i]] = corr_series[(corr_series.map(math.fabs) >= 0.5) & (corr_series != 1.0)]\n", + "age_df" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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youngmiddleoldelderly
youngest_child_ageage_edited-0.645934NaNNaNNaN
education_level-0.554112NaNNaNNaN
age_editedyoungest_child_age-0.645934NaNNaNNaN
education_level0.769781NaNNaNNaN
is_student0.518341NaN-0.830725NaN
education_levelyoungest_child_age-0.554112NaNNaNNaN
age_edited0.769781NaNNaNNaN
weekly_earnings_main0.519389NaNNaNNaN
employment_statushas_multiple_jobs-0.969841-0.960508-0.970220-0.988260
work_status-0.940963-0.916558-0.936548-0.970697
weekly_earnings_main-0.614540-0.502659-0.541707-0.556962
weekly_hours_worked-0.776334-0.767314-0.783603-0.813304
Work, main job-0.534875NaNNaN-0.598549
has_multiple_jobsemployment_status-0.969841-0.960508-0.970220-0.988260
work_status0.9559570.9154430.9370180.974041
weekly_earnings_main0.6197270.5063140.5484190.553724
weekly_hours_worked0.7667860.7450690.7707100.810455
Work, main job0.533608NaNNaN0.589187
work_statusemployment_status-0.940963-0.916558-0.936548-0.970697
has_multiple_jobs0.9559570.9154430.9370180.974041
weekly_hours_worked0.6409910.5974720.6513170.713157
is_studentage_edited0.518341NaN-0.830725NaN
school_level-0.957168-0.998743NaNNaN
school_levelis_student-0.957168-0.998743NaNNaN
partner_presentpartner_employed-0.933811-0.919513-0.942587-0.973212
partner_work_status-0.826232-0.713881-0.677617NaN
partner_employedpartner_present-0.933811-0.919513-0.942587-0.973212
partner_work_status0.7373120.518566NaNNaN
weekly_earnings_maineducation_level0.519389NaNNaNNaN
employment_status-0.614540-0.502659-0.541707-0.556962
has_multiple_jobs0.6197270.5063140.5484190.553724
weekly_hours_worked0.7498900.5747200.5920200.653577
Work, main job0.515237NaNNaNNaN
partner_work_statuspartner_present-0.826232-0.713881-0.677617NaN
partner_employed0.7373120.518566NaNNaN
weekly_hours_workedemployment_status-0.776334-0.767314-0.783603-0.813304
has_multiple_jobs0.7667860.7450690.7707100.810455
work_status0.6409910.5974720.6513170.713157
weekly_earnings_main0.7498900.5747200.5920200.653577
Work, main job0.608817NaNNaN0.646698
eldercare_minutesPhysical care for hh adults0.500188NaNNaNNaN
Providing medical care to hh adult0.694572NaNNaNNaN
childcare_minutesPhysical care for hh children0.507461NaNNaNNaN
Grooming, n.e.c.*Travel related to using financial services and banking0.848694NaNNaNNaN
Health-related self careActivities related to hh child's health, n.e.c.*0.675089NaNNaNNaN
Food presentationResearch/homework for class for pers. interest0.937353NaNNaNNaN
Building and repairing furnitureLooking after nonhh adult (as a primary activity)0.894354NaNNaNNaN
Lawn, garden, and houseplant caret020501_wtd0.7762970.8237520.7887690.799383
Vehicle repair and maintenance (by self)Travel related to vehicle care & maintenance (by self)0.724373NaNNaNNaN
Physical care for hh childrenchildcare_minutes0.507461NaNNaNNaN
Meetings and school conferences (hh children)Reading0.768006NaNNaNNaN
Travel related to hh children's education0.995887NaNNaNNaN
Obtaining medical care for hh childrenTravel related to hh children's health0.7680440.6148980.795934NaN
Waiting associated with hh children's healthWaiting associated with shopping0.951121NaNNaNNaN
Attending/hosting social events, n.e.c.*1.000000NaNNaNNaN
Activities related to hh child's health, n.e.c.*Health-related self care0.675089NaNNaNNaN
Travel related to hh children's health0.511574NaNNaNNaN
Physical care for hh adultseldercare_minutes0.500188NaNNaNNaN
Providing medical care to hh adult0.666368NaNNaNNaN
Providing medical care to hh adulteldercare_minutes0.694572NaNNaNNaN
Physical care for hh adults0.666368NaNNaNNaN
Picking up/dropping off hh adultTravel related to helping hh adults0.544374NaN0.5739980.677446
Physical care for nonhh childrenPlaying with nonhh children, not sports0.595434NaNNaNNaN
Playing with nonhh children, not sportsPhysical care for nonhh children0.595434NaNNaNNaN
Talking with/listening to nonhh childrenSkiing, ice skating, snowboarding0.845042NaNNaNNaN
Attending nonhh children's eventsHouse & lawn maintenance & repair assistance for nonhh adults0.732082NaNNaNNaN
Dropping off/picking up nonhh childrenTravel related to caring for and helping nonhh children0.6879610.6651400.5673830.568455
Homework (nonhh children)Travel related to nonhh children's education1.000000NaNNaNNaN
Looking after nonhh adult (as a primary activity)Building and repairing furniture0.894354NaNNaNNaN
House & lawn maintenance & repair assistance for nonhh adultsAttending nonhh children's events0.732082NaNNaNNaN
Picking up/dropping off nonhh adultTravel related to helping nonhh adults0.5270210.6843100.577531NaN
Work, main jobemployment_status-0.534875NaNNaN-0.598549
has_multiple_jobs0.533608NaNNaN0.589187
weekly_earnings_main0.515237NaNNaNNaN
weekly_hours_worked0.608817NaNNaN0.646698
Travel related to working0.6222100.5647040.6086680.569880
Income-generating performancesRollerblading0.599580NaNNaNNaN
Income-generating servicesTravel related to income-generating activities0.533301NaNNaN0.659905
Job interviewingTravel related to job search & interviewing0.6565580.556218NaNNaN
Taking class for degree, certification, or licensureTravel related to taking class0.5926090.622272NaNNaN
Extracurricular music & performance activitiesTravel related to extracurricular activities (ex. Sports)0.647550NaNNaNNaN
Research/homework for class for pers. interestFood presentation0.937353NaNNaNNaN
Administrative activities: class for degree, certification, or licensureTravel related to registration/administrative activities0.735603NaNNaNNaN
Education, n.e.c.*Travel related to education, n.e.c.*0.744980NaNNaNNaN
Grocery shoppingTravel related to grocery shopping0.7210180.7136340.6189450.649890
Purchasing food (not groceries)Travel related to purchasing food (not groceries)0.602409NaN0.543274NaN
Shopping, except groceries, food and gasTravel related to shopping, ex groceries, food, and gas0.6368590.5865720.5457870.627832
Waiting associated with shoppingWaiting associated with hh children's health0.951121NaNNaNNaN
Attending/hosting social events, n.e.c.*0.951121NaNNaNNaN
Comparison shoppingTravel related to consumer purchases, n.e.c.*1.000000NaNNaNNaN
Using health and care services outside the homeTravel related to using medical services0.5342410.6595440.5044540.550535
Using personal care servicesTravel related to using personal care services0.5918580.7631180.7009220.804227
Activities rel. to purchasing/selling real estateTravel related to using real estate services0.8352120.533930NaN0.706947
Professional and personal services, n.e.c.*Travel rel. to using prof. & personal care services, n.e.c.*0.9996950.987416NaNNaN
Using vehicle maintenance or repair servicesTravel related to using vehicle maintenance & repair services0.7072830.6379810.535145NaN
Obtaining licenses & paying fines, fees, taxesTravel related to using government services0.559361NaNNaNNaN
Attending or hosting parties/receptions/ceremoniesTravel related to attending or hosting social events0.5283230.6451620.6448640.628333
Attending/hosting social events, n.e.c.*Waiting associated with hh children's health1.000000NaNNaNNaN
Waiting associated with shopping0.951121NaNNaNNaN
RollerbladingIncome-generating performances0.599580NaNNaNNaN
Skiing, ice skating, snowboardingTalking with/listening to nonhh children0.845042NaNNaNNaN
SoftballTelephone calls to/from government officials0.824115NaNNaNNaN
Watching hockeyWatching racquet sports1.000000NaNNaNNaN
Organizing and preparing0.637140NaNNaNNaN
Watching racquet sportsWatching hockey1.000000NaNNaNNaN
Organizing and preparing0.637140NaNNaNNaN
Watching soccerTravel related to attending sporting/recreational events0.536871NaNNaNNaN
Attending religious servicesTravel related to religious/spiritual practices0.6496910.6219340.6185470.555856
Organizing and preparingWatching hockey0.637140NaNNaNNaN
Watching racquet sports0.637140NaNNaNNaN
ReadingMeetings and school conferences (hh children)0.768006NaNNaNNaN
Performing0.635722NaNNaNNaN
Travel related to hh children's education0.706817NaNNaNNaN
PerformingReading0.635722NaNNaNNaN
Telephone calls to/from government officialsSoftball0.824115NaNNaNNaN
Travel related to vehicle care & maintenance (by self)Vehicle repair and maintenance (by self)0.724373NaNNaNNaN
Travel related to hh children's educationMeetings and school conferences (hh children)0.995887NaNNaNNaN
Reading0.706817NaNNaNNaN
Travel related to hh children's healthObtaining medical care for hh children0.7680440.6148980.795934NaN
Activities related to hh child's health, n.e.c.*0.511574NaNNaNNaN
Travel related to helping hh adultsPicking up/dropping off hh adult0.544374NaN0.5739980.677446
Travel related to caring for and helping nonhh childrenDropping off/picking up nonhh children0.6879610.6651400.5673830.568455
Travel related to nonhh children's educationHomework (nonhh children)1.000000NaNNaNNaN
Travel related to helping nonhh adultsPicking up/dropping off nonhh adult0.5270210.6843100.577531NaN
Travel related to workingWork, main job0.6222100.5647040.6086680.569880
Travel related to income-generating activitiesIncome-generating services0.533301NaNNaN0.659905
Travel related to job search & interviewingJob interviewing0.6565580.556218NaNNaN
Travel related to taking classTaking class for degree, certification, or licensure0.5926090.622272NaNNaN
Travel related to extracurricular activities (ex. Sports)Extracurricular music & performance activities0.647550NaNNaNNaN
Travel related to registration/administrative activitiesAdministrative activities: class for degree, certification, or licensure0.735603NaNNaNNaN
Travel related to education, n.e.c.*Education, n.e.c.*0.744980NaNNaNNaN
Travel related to grocery shoppingGrocery shopping0.7210180.7136340.6189450.649890
Travel related to purchasing food (not groceries)Purchasing food (not groceries)0.602409NaN0.543274NaN
Travel related to shopping, ex groceries, food, and gasShopping, except groceries, food and gas0.6368590.5865720.5457870.627832
Travel related to consumer purchases, n.e.c.*Comparison shopping1.000000NaNNaNNaN
Travel related to using financial services and bankingGrooming, n.e.c.*0.848694NaNNaNNaN
Travel related to using medical servicesUsing health and care services outside the home0.5342410.6595440.5044540.550535
Travel related to using personal care servicesUsing personal care services0.5918580.7631180.7009220.804227
Travel related to using real estate servicesActivities rel. to purchasing/selling real estate0.8352120.533930NaN0.706947
Travel rel. to using prof. & personal care services, n.e.c.*Professional and personal services, n.e.c.*0.9996950.987416NaNNaN
Travel related to using vehicle maintenance & repair servicesUsing vehicle maintenance or repair services0.7072830.6379810.535145NaN
Travel related to using government servicesObtaining licenses & paying fines, fees, taxes0.559361NaNNaNNaN
Travel related to attending or hosting social eventsAttending or hosting parties/receptions/ceremonies0.5283230.6451620.6448640.628333
Travel related to attending sporting/recreational eventsWatching soccer0.536871NaNNaNNaN
Travel related to religious/spiritual practicesAttending religious services0.6496910.6219340.6185470.555856
t020501_wtdLawn, garden, and houseplant care0.7762970.8237520.7887690.799383
\n", + "
" + ], + "text/plain": [ + " young \\\n", + "youngest_child_age age_edited -0.645934 \n", + " education_level -0.554112 \n", + "age_edited youngest_child_age -0.645934 \n", + " education_level 0.769781 \n", + " is_student 0.518341 \n", + "education_level youngest_child_age -0.554112 \n", + " age_edited 0.769781 \n", + " weekly_earnings_main 0.519389 \n", + "employment_status has_multiple_jobs -0.969841 \n", + " work_status -0.940963 \n", + " weekly_earnings_main -0.614540 \n", + " weekly_hours_worked -0.776334 \n", + " Work, main job -0.534875 \n", + "has_multiple_jobs employment_status -0.969841 \n", + " work_status 0.955957 \n", + " weekly_earnings_main 0.619727 \n", + " weekly_hours_worked 0.766786 \n", + " Work, main job 0.533608 \n", + "work_status employment_status -0.940963 \n", + " has_multiple_jobs 0.955957 \n", + " weekly_hours_worked 0.640991 \n", + "is_student age_edited 0.518341 \n", + " school_level -0.957168 \n", + "school_level is_student -0.957168 \n", + "partner_present partner_employed -0.933811 \n", + " partner_work_status -0.826232 \n", + "partner_employed partner_present -0.933811 \n", + " partner_work_status 0.737312 \n", + "weekly_earnings_main education_level 0.519389 \n", + " employment_status -0.614540 \n", + " has_multiple_jobs 0.619727 \n", + " weekly_hours_worked 0.749890 \n", + " Work, main job 0.515237 \n", + "partner_work_status partner_present -0.826232 \n", + " partner_employed 0.737312 \n", + "weekly_hours_worked employment_status -0.776334 \n", + " has_multiple_jobs 0.766786 \n", + " work_status 0.640991 \n", + " weekly_earnings_main 0.749890 \n", + " Work, main job 0.608817 \n", + "eldercare_minutes Physical care for hh adults 0.500188 \n", + " Providing medical care to hh adult 0.694572 \n", + "childcare_minutes Physical care for hh children 0.507461 \n", + "Grooming, n.e.c.* Travel related to using financial services and ... 0.848694 \n", + "Health-related self care Activities related to hh child's health, n.e.c.* 0.675089 \n", + "Food presentation Research/homework for class for pers. interest 0.937353 \n", + "Building and repairing furniture Looking after nonhh adult (as a primary activity) 0.894354 \n", + "Lawn, garden, and houseplant care t020501_wtd 0.776297 \n", + "Vehicle repair and maintenance (by self) Travel related to vehicle care & maintenance (b... 0.724373 \n", + "Physical care for hh children childcare_minutes 0.507461 \n", + "Meetings and school conferences (hh children) Reading 0.768006 \n", + " Travel related to hh children's education 0.995887 \n", + "Obtaining medical care for hh children Travel related to hh children's health 0.768044 \n", + "Waiting associated with hh children's health Waiting associated with shopping 0.951121 \n", + " Attending/hosting social events, n.e.c.* 1.000000 \n", + "Activities related to hh child's health, n.e.c.* Health-related self care 0.675089 \n", + " Travel related to hh children's health 0.511574 \n", + "Physical care for hh adults eldercare_minutes 0.500188 \n", + " Providing medical care to hh adult 0.666368 \n", + "Providing medical care to hh adult eldercare_minutes 0.694572 \n", + " Physical care for hh adults 0.666368 \n", + "Picking up/dropping off hh adult Travel related to helping hh adults 0.544374 \n", + "Physical care for nonhh children Playing with nonhh children, not sports 0.595434 \n", + "Playing with nonhh children, not sports Physical care for nonhh children 0.595434 \n", + "Talking with/listening to nonhh children Skiing, ice skating, snowboarding 0.845042 \n", + "Attending nonhh children's events House & lawn maintenance & repair assistance fo... 0.732082 \n", + "Dropping off/picking up nonhh children Travel related to caring for and helping nonhh ... 0.687961 \n", + "Homework (nonhh children) Travel related to nonhh children's education 1.000000 \n", + "Looking after nonhh adult (as a primary activity) Building and repairing furniture 0.894354 \n", + "House & lawn maintenance & repair assistance fo... Attending nonhh children's events 0.732082 \n", + "Picking up/dropping off nonhh adult Travel related to helping nonhh adults 0.527021 \n", + "Work, main job employment_status -0.534875 \n", + " has_multiple_jobs 0.533608 \n", + " weekly_earnings_main 0.515237 \n", + " weekly_hours_worked 0.608817 \n", + " Travel related to working 0.622210 \n", + "Income-generating performances Rollerblading 0.599580 \n", + "Income-generating services Travel related to income-generating activities 0.533301 \n", + "Job interviewing Travel related to job search & interviewing 0.656558 \n", + "Taking class for degree, certification, or lice... Travel related to taking class 0.592609 \n", + "Extracurricular music & performance activities Travel related to extracurricular activities (e... 0.647550 \n", + "Research/homework for class for pers. interest Food presentation 0.937353 \n", + "Administrative activities: class for degree, ce... Travel related to registration/administrative a... 0.735603 \n", + "Education, n.e.c.* Travel related to education, n.e.c.* 0.744980 \n", + "Grocery shopping Travel related to grocery shopping 0.721018 \n", + "Purchasing food (not groceries) Travel related to purchasing food (not groceries) 0.602409 \n", + "Shopping, except groceries, food and gas Travel related to shopping, ex groceries, food,... 0.636859 \n", + "Waiting associated with shopping Waiting associated with hh children's health 0.951121 \n", + " Attending/hosting social events, n.e.c.* 0.951121 \n", + "Comparison shopping Travel related to consumer purchases, n.e.c.* 1.000000 \n", + "Using health and care services outside the home Travel related to using medical services 0.534241 \n", + "Using personal care services Travel related to using personal care services 0.591858 \n", + "Activities rel. to purchasing/selling real estate Travel related to using real estate services 0.835212 \n", + "Professional and personal services, n.e.c.* Travel rel. to using prof. & personal care serv... 0.999695 \n", + "Using vehicle maintenance or repair services Travel related to using vehicle maintenance & r... 0.707283 \n", + "Obtaining licenses & paying fines, fees, taxes Travel related to using government services 0.559361 \n", + "Attending or hosting parties/receptions/ceremonies Travel related to attending or hosting social e... 0.528323 \n", + "Attending/hosting social events, n.e.c.* Waiting associated with hh children's health 1.000000 \n", + " Waiting associated with shopping 0.951121 \n", + "Rollerblading Income-generating performances 0.599580 \n", + "Skiing, ice skating, snowboarding Talking with/listening to nonhh children 0.845042 \n", + "Softball Telephone calls to/from government officials 0.824115 \n", + "Watching hockey Watching racquet sports 1.000000 \n", + " Organizing and preparing 0.637140 \n", + "Watching racquet sports Watching hockey 1.000000 \n", + " Organizing and preparing 0.637140 \n", + "Watching soccer Travel related to attending sporting/recreation... 0.536871 \n", + "Attending religious services Travel related to religious/spiritual practices 0.649691 \n", + "Organizing and preparing Watching hockey 0.637140 \n", + " Watching racquet sports 0.637140 \n", + "Reading Meetings and school conferences (hh children) 0.768006 \n", + " Performing 0.635722 \n", + " Travel related to hh children's education 0.706817 \n", + "Performing Reading 0.635722 \n", + "Telephone calls to/from government officials Softball 0.824115 \n", + "Travel related to vehicle care & maintenance (b... Vehicle repair and maintenance (by self) 0.724373 \n", + "Travel related to hh children's education Meetings and school conferences (hh children) 0.995887 \n", + " Reading 0.706817 \n", + "Travel related to hh children's health Obtaining medical care for hh children 0.768044 \n", + " Activities related to hh child's health, n.e.c.* 0.511574 \n", + "Travel related to helping hh adults Picking up/dropping off hh adult 0.544374 \n", + "Travel related to caring for and helping nonhh ... Dropping off/picking up nonhh children 0.687961 \n", + "Travel related to nonhh children's education Homework (nonhh children) 1.000000 \n", + "Travel related to helping nonhh adults Picking up/dropping off nonhh adult 0.527021 \n", + "Travel related to working Work, main job 0.622210 \n", + "Travel related to income-generating activities Income-generating services 0.533301 \n", + "Travel related to job search & interviewing Job interviewing 0.656558 \n", + "Travel related to taking class Taking class for degree, certification, or lice... 0.592609 \n", + "Travel related to extracurricular activities (e... Extracurricular music & performance activities 0.647550 \n", + "Travel related to registration/administrative a... Administrative activities: class for degree, ce... 0.735603 \n", + "Travel related to education, n.e.c.* Education, n.e.c.* 0.744980 \n", + "Travel related to grocery shopping Grocery shopping 0.721018 \n", + "Travel related to purchasing food (not groceries) Purchasing food (not groceries) 0.602409 \n", + "Travel related to shopping, ex groceries, food,... Shopping, except groceries, food and gas 0.636859 \n", + "Travel related to consumer purchases, n.e.c.* Comparison shopping 1.000000 \n", + "Travel related to using financial services and ... Grooming, n.e.c.* 0.848694 \n", + "Travel related to using medical services Using health and care services outside the home 0.534241 \n", + "Travel related to using personal care services Using personal care services 0.591858 \n", + "Travel related to using real estate services Activities rel. to purchasing/selling real estate 0.835212 \n", + "Travel rel. to using prof. & personal care serv... Professional and personal services, n.e.c.* 0.999695 \n", + "Travel related to using vehicle maintenance & r... Using vehicle maintenance or repair services 0.707283 \n", + "Travel related to using government services Obtaining licenses & paying fines, fees, taxes 0.559361 \n", + "Travel related to attending or hosting social e... Attending or hosting parties/receptions/ceremonies 0.528323 \n", + "Travel related to attending sporting/recreation... Watching soccer 0.536871 \n", + "Travel related to religious/spiritual practices Attending religious services 0.649691 \n", + "t020501_wtd Lawn, garden, and houseplant care 0.776297 \n", + "\n", + " middle \\\n", + "youngest_child_age age_edited NaN \n", + " education_level NaN \n", + "age_edited youngest_child_age NaN \n", + " education_level NaN \n", + " is_student NaN \n", + "education_level youngest_child_age NaN \n", + " age_edited NaN \n", + " weekly_earnings_main NaN \n", + "employment_status has_multiple_jobs -0.960508 \n", + " work_status -0.916558 \n", + " weekly_earnings_main -0.502659 \n", + " weekly_hours_worked -0.767314 \n", + " Work, main job NaN \n", + "has_multiple_jobs employment_status -0.960508 \n", + " work_status 0.915443 \n", + " weekly_earnings_main 0.506314 \n", + " weekly_hours_worked 0.745069 \n", + " Work, main job NaN \n", + "work_status employment_status -0.916558 \n", + " has_multiple_jobs 0.915443 \n", + " weekly_hours_worked 0.597472 \n", + "is_student age_edited NaN \n", + " school_level -0.998743 \n", + "school_level is_student -0.998743 \n", + "partner_present partner_employed -0.919513 \n", + " partner_work_status -0.713881 \n", + "partner_employed partner_present -0.919513 \n", + " partner_work_status 0.518566 \n", + "weekly_earnings_main education_level NaN \n", + " employment_status -0.502659 \n", + " has_multiple_jobs 0.506314 \n", + " weekly_hours_worked 0.574720 \n", + " Work, main job NaN \n", + "partner_work_status partner_present -0.713881 \n", + " partner_employed 0.518566 \n", + "weekly_hours_worked employment_status -0.767314 \n", + " has_multiple_jobs 0.745069 \n", + " work_status 0.597472 \n", + " weekly_earnings_main 0.574720 \n", + " Work, main job NaN \n", + "eldercare_minutes Physical care for hh adults NaN \n", + " Providing medical care to hh adult NaN \n", + "childcare_minutes Physical care for hh children NaN \n", + "Grooming, n.e.c.* Travel related to using financial services and ... NaN \n", + "Health-related self care Activities related to hh child's health, n.e.c.* NaN \n", + "Food presentation Research/homework for class for pers. interest NaN \n", + "Building and repairing furniture Looking after nonhh adult (as a primary activity) NaN \n", + "Lawn, garden, and houseplant care t020501_wtd 0.823752 \n", + "Vehicle repair and maintenance (by self) Travel related to vehicle care & maintenance (b... NaN \n", + "Physical care for hh children childcare_minutes NaN \n", + "Meetings and school conferences (hh children) Reading NaN \n", + " Travel related to hh children's education NaN \n", + "Obtaining medical care for hh children Travel related to hh children's health 0.614898 \n", + "Waiting associated with hh children's health Waiting associated with shopping NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Activities related to hh child's health, n.e.c.* Health-related self care NaN \n", + " Travel related to hh children's health NaN \n", + "Physical care for hh adults eldercare_minutes NaN \n", + " Providing medical care to hh adult NaN \n", + "Providing medical care to hh adult eldercare_minutes NaN \n", + " Physical care for hh adults NaN \n", + "Picking up/dropping off hh adult Travel related to helping hh adults NaN \n", + "Physical care for nonhh children Playing with nonhh children, not sports NaN \n", + "Playing with nonhh children, not sports Physical care for nonhh children NaN \n", + "Talking with/listening to nonhh children Skiing, ice skating, snowboarding NaN \n", + "Attending nonhh children's events House & lawn maintenance & repair assistance fo... NaN \n", + "Dropping off/picking up nonhh children Travel related to caring for and helping nonhh ... 0.665140 \n", + "Homework (nonhh children) Travel related to nonhh children's education NaN \n", + "Looking after nonhh adult (as a primary activity) Building and repairing furniture NaN \n", + "House & lawn maintenance & repair assistance fo... Attending nonhh children's events NaN \n", + "Picking up/dropping off nonhh adult Travel related to helping nonhh adults 0.684310 \n", + "Work, main job employment_status NaN \n", + " has_multiple_jobs NaN \n", + " weekly_earnings_main NaN \n", + " weekly_hours_worked NaN \n", + " Travel related to working 0.564704 \n", + "Income-generating performances Rollerblading NaN \n", + "Income-generating services Travel related to income-generating activities NaN \n", + "Job interviewing Travel related to job search & interviewing 0.556218 \n", + "Taking class for degree, certification, or lice... Travel related to taking class 0.622272 \n", + "Extracurricular music & performance activities Travel related to extracurricular activities (e... NaN \n", + "Research/homework for class for pers. interest Food presentation NaN \n", + "Administrative activities: class for degree, ce... Travel related to registration/administrative a... NaN \n", + "Education, n.e.c.* Travel related to education, n.e.c.* NaN \n", + "Grocery shopping Travel related to grocery shopping 0.713634 \n", + "Purchasing food (not groceries) Travel related to purchasing food (not groceries) NaN \n", + "Shopping, except groceries, food and gas Travel related to shopping, ex groceries, food,... 0.586572 \n", + "Waiting associated with shopping Waiting associated with hh children's health NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Comparison shopping Travel related to consumer purchases, n.e.c.* NaN \n", + "Using health and care services outside the home Travel related to using medical services 0.659544 \n", + "Using personal care services Travel related to using personal care services 0.763118 \n", + "Activities rel. to purchasing/selling real estate Travel related to using real estate services 0.533930 \n", + "Professional and personal services, n.e.c.* Travel rel. to using prof. & personal care serv... 0.987416 \n", + "Using vehicle maintenance or repair services Travel related to using vehicle maintenance & r... 0.637981 \n", + "Obtaining licenses & paying fines, fees, taxes Travel related to using government services NaN \n", + "Attending or hosting parties/receptions/ceremonies Travel related to attending or hosting social e... 0.645162 \n", + "Attending/hosting social events, n.e.c.* Waiting associated with hh children's health NaN \n", + " Waiting associated with shopping NaN \n", + "Rollerblading Income-generating performances NaN \n", + "Skiing, ice skating, snowboarding Talking with/listening to nonhh children NaN \n", + "Softball Telephone calls to/from government officials NaN \n", + "Watching hockey Watching racquet sports NaN \n", + " Organizing and preparing NaN \n", + "Watching racquet sports Watching hockey NaN \n", + " Organizing and preparing NaN \n", + "Watching soccer Travel related to attending sporting/recreation... NaN \n", + "Attending religious services Travel related to religious/spiritual practices 0.621934 \n", + "Organizing and preparing Watching hockey NaN \n", + " Watching racquet sports NaN \n", + "Reading Meetings and school conferences (hh children) NaN \n", + " Performing NaN \n", + " Travel related to hh children's education NaN \n", + "Performing Reading NaN \n", + "Telephone calls to/from government officials Softball NaN \n", + "Travel related to vehicle care & maintenance (b... Vehicle repair and maintenance (by self) NaN \n", + "Travel related to hh children's education Meetings and school conferences (hh children) NaN \n", + " Reading NaN \n", + "Travel related to hh children's health Obtaining medical care for hh children 0.614898 \n", + " Activities related to hh child's health, n.e.c.* NaN \n", + "Travel related to helping hh adults Picking up/dropping off hh adult NaN \n", + "Travel related to caring for and helping nonhh ... Dropping off/picking up nonhh children 0.665140 \n", + "Travel related to nonhh children's education Homework (nonhh children) NaN \n", + "Travel related to helping nonhh adults Picking up/dropping off nonhh adult 0.684310 \n", + "Travel related to working Work, main job 0.564704 \n", + "Travel related to income-generating activities Income-generating services NaN \n", + "Travel related to job search & interviewing Job interviewing 0.556218 \n", + "Travel related to taking class Taking class for degree, certification, or lice... 0.622272 \n", + "Travel related to extracurricular activities (e... Extracurricular music & performance activities NaN \n", + "Travel related to registration/administrative a... Administrative activities: class for degree, ce... NaN \n", + "Travel related to education, n.e.c.* Education, n.e.c.* NaN \n", + "Travel related to grocery shopping Grocery shopping 0.713634 \n", + "Travel related to purchasing food (not groceries) Purchasing food (not groceries) NaN \n", + "Travel related to shopping, ex groceries, food,... Shopping, except groceries, food and gas 0.586572 \n", + "Travel related to consumer purchases, n.e.c.* Comparison shopping NaN \n", + "Travel related to using financial services and ... Grooming, n.e.c.* NaN \n", + "Travel related to using medical services Using health and care services outside the home 0.659544 \n", + "Travel related to using personal care services Using personal care services 0.763118 \n", + "Travel related to using real estate services Activities rel. to purchasing/selling real estate 0.533930 \n", + "Travel rel. to using prof. & personal care serv... Professional and personal services, n.e.c.* 0.987416 \n", + "Travel related to using vehicle maintenance & r... Using vehicle maintenance or repair services 0.637981 \n", + "Travel related to using government services Obtaining licenses & paying fines, fees, taxes NaN \n", + "Travel related to attending or hosting social e... Attending or hosting parties/receptions/ceremonies 0.645162 \n", + "Travel related to attending sporting/recreation... Watching soccer NaN \n", + "Travel related to religious/spiritual practices Attending religious services 0.621934 \n", + "t020501_wtd Lawn, garden, and houseplant care 0.823752 \n", + "\n", + " old \\\n", + "youngest_child_age age_edited NaN \n", + " education_level NaN \n", + "age_edited youngest_child_age NaN \n", + " education_level NaN \n", + " is_student -0.830725 \n", + "education_level youngest_child_age NaN \n", + " age_edited NaN \n", + " weekly_earnings_main NaN \n", + "employment_status has_multiple_jobs -0.970220 \n", + " work_status -0.936548 \n", + " weekly_earnings_main -0.541707 \n", + " weekly_hours_worked -0.783603 \n", + " Work, main job NaN \n", + "has_multiple_jobs employment_status -0.970220 \n", + " work_status 0.937018 \n", + " weekly_earnings_main 0.548419 \n", + " weekly_hours_worked 0.770710 \n", + " Work, main job NaN \n", + "work_status employment_status -0.936548 \n", + " has_multiple_jobs 0.937018 \n", + " weekly_hours_worked 0.651317 \n", + "is_student age_edited -0.830725 \n", + " school_level NaN \n", + "school_level is_student NaN \n", + "partner_present partner_employed -0.942587 \n", + " partner_work_status -0.677617 \n", + "partner_employed partner_present -0.942587 \n", + " partner_work_status NaN \n", + "weekly_earnings_main education_level NaN \n", + " employment_status -0.541707 \n", + " has_multiple_jobs 0.548419 \n", + " weekly_hours_worked 0.592020 \n", + " Work, main job NaN \n", + "partner_work_status partner_present -0.677617 \n", + " partner_employed NaN \n", + "weekly_hours_worked employment_status -0.783603 \n", + " has_multiple_jobs 0.770710 \n", + " work_status 0.651317 \n", + " weekly_earnings_main 0.592020 \n", + " Work, main job NaN \n", + "eldercare_minutes Physical care for hh adults NaN \n", + " Providing medical care to hh adult NaN \n", + "childcare_minutes Physical care for hh children NaN \n", + "Grooming, n.e.c.* Travel related to using financial services and ... NaN \n", + "Health-related self care Activities related to hh child's health, n.e.c.* NaN \n", + "Food presentation Research/homework for class for pers. interest NaN \n", + "Building and repairing furniture Looking after nonhh adult (as a primary activity) NaN \n", + "Lawn, garden, and houseplant care t020501_wtd 0.788769 \n", + "Vehicle repair and maintenance (by self) Travel related to vehicle care & maintenance (b... NaN \n", + "Physical care for hh children childcare_minutes NaN \n", + "Meetings and school conferences (hh children) Reading NaN \n", + " Travel related to hh children's education NaN \n", + "Obtaining medical care for hh children Travel related to hh children's health 0.795934 \n", + "Waiting associated with hh children's health Waiting associated with shopping NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Activities related to hh child's health, n.e.c.* Health-related self care NaN \n", + " Travel related to hh children's health NaN \n", + "Physical care for hh adults eldercare_minutes NaN \n", + " Providing medical care to hh adult NaN \n", + "Providing medical care to hh adult eldercare_minutes NaN \n", + " Physical care for hh adults NaN \n", + "Picking up/dropping off hh adult Travel related to helping hh adults 0.573998 \n", + "Physical care for nonhh children Playing with nonhh children, not sports NaN \n", + "Playing with nonhh children, not sports Physical care for nonhh children NaN \n", + "Talking with/listening to nonhh children Skiing, ice skating, snowboarding NaN \n", + "Attending nonhh children's events House & lawn maintenance & repair assistance fo... NaN \n", + "Dropping off/picking up nonhh children Travel related to caring for and helping nonhh ... 0.567383 \n", + "Homework (nonhh children) Travel related to nonhh children's education NaN \n", + "Looking after nonhh adult (as a primary activity) Building and repairing furniture NaN \n", + "House & lawn maintenance & repair assistance fo... Attending nonhh children's events NaN \n", + "Picking up/dropping off nonhh adult Travel related to helping nonhh adults 0.577531 \n", + "Work, main job employment_status NaN \n", + " has_multiple_jobs NaN \n", + " weekly_earnings_main NaN \n", + " weekly_hours_worked NaN \n", + " Travel related to working 0.608668 \n", + "Income-generating performances Rollerblading NaN \n", + "Income-generating services Travel related to income-generating activities NaN \n", + "Job interviewing Travel related to job search & interviewing NaN \n", + "Taking class for degree, certification, or lice... Travel related to taking class NaN \n", + "Extracurricular music & performance activities Travel related to extracurricular activities (e... NaN \n", + "Research/homework for class for pers. interest Food presentation NaN \n", + "Administrative activities: class for degree, ce... Travel related to registration/administrative a... NaN \n", + "Education, n.e.c.* Travel related to education, n.e.c.* NaN \n", + "Grocery shopping Travel related to grocery shopping 0.618945 \n", + "Purchasing food (not groceries) Travel related to purchasing food (not groceries) 0.543274 \n", + "Shopping, except groceries, food and gas Travel related to shopping, ex groceries, food,... 0.545787 \n", + "Waiting associated with shopping Waiting associated with hh children's health NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Comparison shopping Travel related to consumer purchases, n.e.c.* NaN \n", + "Using health and care services outside the home Travel related to using medical services 0.504454 \n", + "Using personal care services Travel related to using personal care services 0.700922 \n", + "Activities rel. to purchasing/selling real estate Travel related to using real estate services NaN \n", + "Professional and personal services, n.e.c.* Travel rel. to using prof. & personal care serv... NaN \n", + "Using vehicle maintenance or repair services Travel related to using vehicle maintenance & r... 0.535145 \n", + "Obtaining licenses & paying fines, fees, taxes Travel related to using government services NaN \n", + "Attending or hosting parties/receptions/ceremonies Travel related to attending or hosting social e... 0.644864 \n", + "Attending/hosting social events, n.e.c.* Waiting associated with hh children's health NaN \n", + " Waiting associated with shopping NaN \n", + "Rollerblading Income-generating performances NaN \n", + "Skiing, ice skating, snowboarding Talking with/listening to nonhh children NaN \n", + "Softball Telephone calls to/from government officials NaN \n", + "Watching hockey Watching racquet sports NaN \n", + " Organizing and preparing NaN \n", + "Watching racquet sports Watching hockey NaN \n", + " Organizing and preparing NaN \n", + "Watching soccer Travel related to attending sporting/recreation... NaN \n", + "Attending religious services Travel related to religious/spiritual practices 0.618547 \n", + "Organizing and preparing Watching hockey NaN \n", + " Watching racquet sports NaN \n", + "Reading Meetings and school conferences (hh children) NaN \n", + " Performing NaN \n", + " Travel related to hh children's education NaN \n", + "Performing Reading NaN \n", + "Telephone calls to/from government officials Softball NaN \n", + "Travel related to vehicle care & maintenance (b... Vehicle repair and maintenance (by self) NaN \n", + "Travel related to hh children's education Meetings and school conferences (hh children) NaN \n", + " Reading NaN \n", + "Travel related to hh children's health Obtaining medical care for hh children 0.795934 \n", + " Activities related to hh child's health, n.e.c.* NaN \n", + "Travel related to helping hh adults Picking up/dropping off hh adult 0.573998 \n", + "Travel related to caring for and helping nonhh ... Dropping off/picking up nonhh children 0.567383 \n", + "Travel related to nonhh children's education Homework (nonhh children) NaN \n", + "Travel related to helping nonhh adults Picking up/dropping off nonhh adult 0.577531 \n", + "Travel related to working Work, main job 0.608668 \n", + "Travel related to income-generating activities Income-generating services NaN \n", + "Travel related to job search & interviewing Job interviewing NaN \n", + "Travel related to taking class Taking class for degree, certification, or lice... NaN \n", + "Travel related to extracurricular activities (e... Extracurricular music & performance activities NaN \n", + "Travel related to registration/administrative a... Administrative activities: class for degree, ce... NaN \n", + "Travel related to education, n.e.c.* Education, n.e.c.* NaN \n", + "Travel related to grocery shopping Grocery shopping 0.618945 \n", + "Travel related to purchasing food (not groceries) Purchasing food (not groceries) 0.543274 \n", + "Travel related to shopping, ex groceries, food,... Shopping, except groceries, food and gas 0.545787 \n", + "Travel related to consumer purchases, n.e.c.* Comparison shopping NaN \n", + "Travel related to using financial services and ... Grooming, n.e.c.* NaN \n", + "Travel related to using medical services Using health and care services outside the home 0.504454 \n", + "Travel related to using personal care services Using personal care services 0.700922 \n", + "Travel related to using real estate services Activities rel. to purchasing/selling real estate NaN \n", + "Travel rel. to using prof. & personal care serv... Professional and personal services, n.e.c.* NaN \n", + "Travel related to using vehicle maintenance & r... Using vehicle maintenance or repair services 0.535145 \n", + "Travel related to using government services Obtaining licenses & paying fines, fees, taxes NaN \n", + "Travel related to attending or hosting social e... Attending or hosting parties/receptions/ceremonies 0.644864 \n", + "Travel related to attending sporting/recreation... Watching soccer NaN \n", + "Travel related to religious/spiritual practices Attending religious services 0.618547 \n", + "t020501_wtd Lawn, garden, and houseplant care 0.788769 \n", + "\n", + " elderly \n", + "youngest_child_age age_edited NaN \n", + " education_level NaN \n", + "age_edited youngest_child_age NaN \n", + " education_level NaN \n", + " is_student NaN \n", + "education_level youngest_child_age NaN \n", + " age_edited NaN \n", + " weekly_earnings_main NaN \n", + "employment_status has_multiple_jobs -0.988260 \n", + " work_status -0.970697 \n", + " weekly_earnings_main -0.556962 \n", + " weekly_hours_worked -0.813304 \n", + " Work, main job -0.598549 \n", + "has_multiple_jobs employment_status -0.988260 \n", + " work_status 0.974041 \n", + " weekly_earnings_main 0.553724 \n", + " weekly_hours_worked 0.810455 \n", + " Work, main job 0.589187 \n", + "work_status employment_status -0.970697 \n", + " has_multiple_jobs 0.974041 \n", + " weekly_hours_worked 0.713157 \n", + "is_student age_edited NaN \n", + " school_level NaN \n", + "school_level is_student NaN \n", + "partner_present partner_employed -0.973212 \n", + " partner_work_status NaN \n", + "partner_employed partner_present -0.973212 \n", + " partner_work_status NaN \n", + "weekly_earnings_main education_level NaN \n", + " employment_status -0.556962 \n", + " has_multiple_jobs 0.553724 \n", + " weekly_hours_worked 0.653577 \n", + " Work, main job NaN \n", + "partner_work_status partner_present NaN \n", + " partner_employed NaN \n", + "weekly_hours_worked employment_status -0.813304 \n", + " has_multiple_jobs 0.810455 \n", + " work_status 0.713157 \n", + " weekly_earnings_main 0.653577 \n", + " Work, main job 0.646698 \n", + "eldercare_minutes Physical care for hh adults NaN \n", + " Providing medical care to hh adult NaN \n", + "childcare_minutes Physical care for hh children NaN \n", + "Grooming, n.e.c.* Travel related to using financial services and ... NaN \n", + "Health-related self care Activities related to hh child's health, n.e.c.* NaN \n", + "Food presentation Research/homework for class for pers. interest NaN \n", + "Building and repairing furniture Looking after nonhh adult (as a primary activity) NaN \n", + "Lawn, garden, and houseplant care t020501_wtd 0.799383 \n", + "Vehicle repair and maintenance (by self) Travel related to vehicle care & maintenance (b... NaN \n", + "Physical care for hh children childcare_minutes NaN \n", + "Meetings and school conferences (hh children) Reading NaN \n", + " Travel related to hh children's education NaN \n", + "Obtaining medical care for hh children Travel related to hh children's health NaN \n", + "Waiting associated with hh children's health Waiting associated with shopping NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Activities related to hh child's health, n.e.c.* Health-related self care NaN \n", + " Travel related to hh children's health NaN \n", + "Physical care for hh adults eldercare_minutes NaN \n", + " Providing medical care to hh adult NaN \n", + "Providing medical care to hh adult eldercare_minutes NaN \n", + " Physical care for hh adults NaN \n", + "Picking up/dropping off hh adult Travel related to helping hh adults 0.677446 \n", + "Physical care for nonhh children Playing with nonhh children, not sports NaN \n", + "Playing with nonhh children, not sports Physical care for nonhh children NaN \n", + "Talking with/listening to nonhh children Skiing, ice skating, snowboarding NaN \n", + "Attending nonhh children's events House & lawn maintenance & repair assistance fo... NaN \n", + "Dropping off/picking up nonhh children Travel related to caring for and helping nonhh ... 0.568455 \n", + "Homework (nonhh children) Travel related to nonhh children's education NaN \n", + "Looking after nonhh adult (as a primary activity) Building and repairing furniture NaN \n", + "House & lawn maintenance & repair assistance fo... Attending nonhh children's events NaN \n", + "Picking up/dropping off nonhh adult Travel related to helping nonhh adults NaN \n", + "Work, main job employment_status -0.598549 \n", + " has_multiple_jobs 0.589187 \n", + " weekly_earnings_main NaN \n", + " weekly_hours_worked 0.646698 \n", + " Travel related to working 0.569880 \n", + "Income-generating performances Rollerblading NaN \n", + "Income-generating services Travel related to income-generating activities 0.659905 \n", + "Job interviewing Travel related to job search & interviewing NaN \n", + "Taking class for degree, certification, or lice... Travel related to taking class NaN \n", + "Extracurricular music & performance activities Travel related to extracurricular activities (e... NaN \n", + "Research/homework for class for pers. interest Food presentation NaN \n", + "Administrative activities: class for degree, ce... Travel related to registration/administrative a... NaN \n", + "Education, n.e.c.* Travel related to education, n.e.c.* NaN \n", + "Grocery shopping Travel related to grocery shopping 0.649890 \n", + "Purchasing food (not groceries) Travel related to purchasing food (not groceries) NaN \n", + "Shopping, except groceries, food and gas Travel related to shopping, ex groceries, food,... 0.627832 \n", + "Waiting associated with shopping Waiting associated with hh children's health NaN \n", + " Attending/hosting social events, n.e.c.* NaN \n", + "Comparison shopping Travel related to consumer purchases, n.e.c.* NaN \n", + "Using health and care services outside the home Travel related to using medical services 0.550535 \n", + "Using personal care services Travel related to using personal care services 0.804227 \n", + "Activities rel. to purchasing/selling real estate Travel related to using real estate services 0.706947 \n", + "Professional and personal services, n.e.c.* Travel rel. to using prof. & personal care serv... NaN \n", + "Using vehicle maintenance or repair services Travel related to using vehicle maintenance & r... NaN \n", + "Obtaining licenses & paying fines, fees, taxes Travel related to using government services NaN \n", + "Attending or hosting parties/receptions/ceremonies Travel related to attending or hosting social e... 0.628333 \n", + "Attending/hosting social events, n.e.c.* Waiting associated with hh children's health NaN \n", + " Waiting associated with shopping NaN \n", + "Rollerblading Income-generating performances NaN \n", + "Skiing, ice skating, snowboarding Talking with/listening to nonhh children NaN \n", + "Softball Telephone calls to/from government officials NaN \n", + "Watching hockey Watching racquet sports NaN \n", + " Organizing and preparing NaN \n", + "Watching racquet sports Watching hockey NaN \n", + " Organizing and preparing NaN \n", + "Watching soccer Travel related to attending sporting/recreation... NaN \n", + "Attending religious services Travel related to religious/spiritual practices 0.555856 \n", + "Organizing and preparing Watching hockey NaN \n", + " Watching racquet sports NaN \n", + "Reading Meetings and school conferences (hh children) NaN \n", + " Performing NaN \n", + " Travel related to hh children's education NaN \n", + "Performing Reading NaN \n", + "Telephone calls to/from government officials Softball NaN \n", + "Travel related to vehicle care & maintenance (b... Vehicle repair and maintenance (by self) NaN \n", + "Travel related to hh children's education Meetings and school conferences (hh children) NaN \n", + " Reading NaN \n", + "Travel related to hh children's health Obtaining medical care for hh children NaN \n", + " Activities related to hh child's health, n.e.c.* NaN \n", + "Travel related to helping hh adults Picking up/dropping off hh adult 0.677446 \n", + "Travel related to caring for and helping nonhh ... Dropping off/picking up nonhh children 0.568455 \n", + "Travel related to nonhh children's education Homework (nonhh children) NaN \n", + "Travel related to helping nonhh adults Picking up/dropping off nonhh adult NaN \n", + "Travel related to working Work, main job 0.569880 \n", + "Travel related to income-generating activities Income-generating services 0.659905 \n", + "Travel related to job search & interviewing Job interviewing NaN \n", + "Travel related to taking class Taking class for degree, certification, or lice... NaN \n", + "Travel related to extracurricular activities (e... Extracurricular music & performance activities NaN \n", + "Travel related to registration/administrative a... Administrative activities: class for degree, ce... NaN \n", + "Travel related to education, n.e.c.* Education, n.e.c.* NaN \n", + "Travel related to grocery shopping Grocery shopping 0.649890 \n", + "Travel related to purchasing food (not groceries) Purchasing food (not groceries) NaN \n", + "Travel related to shopping, ex groceries, food,... Shopping, except groceries, food and gas 0.627832 \n", + "Travel related to consumer purchases, n.e.c.* Comparison shopping NaN \n", + "Travel related to using financial services and ... Grooming, n.e.c.* NaN \n", + "Travel related to using medical services Using health and care services outside the home 0.550535 \n", + "Travel related to using personal care services Using personal care services 0.804227 \n", + "Travel related to using real estate services Activities rel. to purchasing/selling real estate 0.706947 \n", + "Travel rel. to using prof. & personal care serv... Professional and personal services, n.e.c.* NaN \n", + "Travel related to using vehicle maintenance & r... Using vehicle maintenance or repair services NaN \n", + "Travel related to using government services Obtaining licenses & paying fines, fees, taxes NaN \n", + "Travel related to attending or hosting social e... Attending or hosting parties/receptions/ceremonies 0.628333 \n", + "Travel related to attending sporting/recreation... Watching soccer NaN \n", + "Travel related to religious/spiritual practices Attending religious services 0.555856 \n", + "t020501_wtd Lawn, garden, and houseplant care 0.799383 " + ] + }, + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pd.set_option('display.max_rows', 200)\n", + "age_corrs = age_df.rename(index=summary_columns)\n", + "age_corrs[[]]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Outlier Studies -- What is the maximum time anyone spends on each activity?\n", + "###And what else do these individuals do in the same day?" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "s = summary.set_index('tucaseid')\n", + "xp = atus.one_track_minds(s)\n", + "# [user_report(s,i[0]) for i in xp.iloc[0:50].iterrows()]" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jdw/ironyard/sandbox/W4D4/atus-analysis/.direnv/python-3.4.3/lib/python3.4/site-packages/matplotlib/pyplot.py:424: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n", + " max_open_warning, RuntimeWarning)\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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L4NswH11KAHAjgHNgDsU8rrX+KYDPiMgNwaGaTTCHaFoBXA0gBsBvYc7+rgdw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\nqYSiRR/4YVHlRTckZZYkW52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o04ZrTaJiGPufSVKmoJPr6i/64Jx5X5fikrJsx2IYB7quWCz5w1df/s6DGzdc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\nK+ZM9Uxkugfg/1T1gjEebwa+6y7yVse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ylmbtbEdXZmRO0c0pfvH8PT+ahKzZJ0Un5Z3QWrdvs9NZhnlRVcvdeUAR+SuA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\nLwHoEJF3AWwA4FLVjsPkGdr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D9Ub9MA4kkhb9eB1UJfGHUMlKOlSlqxqqKf8DqIFGd0JV0ZKgBqF8WR9vvD72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\n3e73vhEOeLtGOx5FUUafSjCVETNWniI/FjmlZ83Nq5j1XxUzL/6kw5W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e2r3rbTld9UkPF+XmGtJyvrpvktFkvqS4+PfjTcbEfXbH8e4XtwbAQgCbtT9X\nQo5I+A0RxQMoOtokStNvgnECZyMNOaEZaK89IcQOyJEGgz136lDPOxJoQ1VHoosAPCyEeHewB/HS\nHou4/NJF35w479qfJRvzhmPaMmMnnfbGyg6no6J7zt335cYm9L+zkaqqOPDx6ra42g3Bx66ZmJOY\nOPgE84Zmh//tlfta3e6JqVNKL0w9UgyqqqKmdouzvX6z+/QYt3FZbvZh/78dcLt8HzisbXszdQbf\nRFNn3Ufi8tbdTdv7O97RIKKZAL4vhLiMiH4DYBXkb/RLIKeh3wjgDgD/AzlzKRfA20KI7xPR5ZCj\nCwKQV+xdAzkqYA7kNi4Z2rHfJSKLNhvpI8ir6yZDXhV3lRCinoi+DzlCwAbZ9P39gapMveZLtUKO\nFvge5FY2t0H2ED2lnfshyPEIHwshniCi+ZBzrvyQ87KuhJxt9b/aa9BB7js4Ado+hUe716AQ4pCK\nJBHdD7m/YBKANhzfXoMJ/Z2v116DRsiG+pe09yEGspr0+iCzqP4PchZVMeTehJMhZ3W9J4T4rnbs\nuyGvWCwGkAVgDICHhBCriehCyN62Dsg5YDv7xJwO2TOXAlkA+p4QYh0R7YRssp8KmQRfIoRwEdEv\ncHCj7GeFEG8S0TcA3ATZiL9ZCPEt7QrSv2rvoUf7PtBDztb6OeT3aav27/c5BsBLKiyi8mjBrRNO\nv/LHnESx0Sjo96BmyxstSSXx+vkPPjJgEtUqdnXue/mnzXdNqDH+6LbJgyZRDU0O359e2tL46pt6\nb3H+wwVHSqL8AR+27Xi/dfPa3zSf7fws5bsFiYW9k6hgOIy1zY3tv2oRDc+XhoPux+fn594x11y8\niMaOWTjx5dR8Y8FQXz/kYMtS7etFkBv6roUcorkYskJVCOAzIcR5kHOd7tEefw2AX2mzm96FTIxU\nAI1CiGWQc6Du1R6r9vpzk5D7460BcK22lHYe5PTySyEThn4rBn3mS32tz3HtWizbIWddnan9PZ+I\nlgG4BDJpWAw5D8qovc7PtT+fghwU2vvcR7vXYO8YFcgm8mVCiDNw/HsNDnS+nr0Ge2ZSWYUQ87XX\n8lMiysDAs6h6Es8LIa82fEh7T2/vdeyeP71CiK8B+BaAh4hIB3mF5nnazDAPDv/3+h6AVdossqsg\nr34EZGL1qhZPE4Dzieh8yA2hFwI4E3I8RBqAW7TY5wGo0mZ8/QZy2W4pZFL8dM+5hRDvQH6/fmew\nJArgpT1UzZEMAAAgAElEQVQWQeYx0+aXnHHNz1MzxxxVQyxjI0lr3TZ7p6fGf8ZD9+cOtD9ep83i\nb1i13HYRedOX3Tlh0EW5+kaH7+3V+2ydbkqdUvrwEZMbp8sWEFVrbakd+2PvKTBnJY81H3J/c1en\nf1V7i22vUYlNvW1aVqIpKSOnzzGKl9A0n8uzXFGU81RV7TrSOfsSQoSJaAcRnQfAIoTwa1eUXQRZ\nNXgOsiIwm4iWAnBBVmQA4GEATxDRNyFHJvxXu32r9qcVsrrUV995T6WQE7pVAF4i6r2lTF9HM19q\nAmTS8z4RAfLDexxkxeK7kLOjmiCvlHsRcjPjlZDVlSf7nHugvQZXau/fYTOwhBCqNh19ORF14ij2\nGhRCVGtfb8Dh29EMdj7R6zFrtcd0ElElZNVroFlU+4UQbi1OqxDCCQBE1F8C2zdmMwCXdmVlz3H7\nfmuWAvh/WjzNROTqNTi0979/POTVi7O0KyMBmecUQw5tfYSIxkJeVapATql/koge0/7u7yfeI15N\nzhUpFhHxyRnG3Inz/5BRUNb3fxDGRjRftyu8d/Py5oxZuYnz7u9/k+Gg14M9//27JfWzP3X+9qas\n/GVzi5MGOt6BRrv3Dy9uaVz+b4N3bP7DBVNKLxi0AlXfVOnetPHFBnXrC57HjZ68+8flm5O1GILh\nMD6yNDl+3Swaflfs8zsfnZufc/e8rERT/6dXFAV00bQFE86b/KKiKEMdR7IGMsHo2YrmY8jp54r2\nAXsLAKcQ4gbIikZPcnQXgB9q1QUFcvnqaPT9sN4NmagpRBQHucQ0UA/L0cyXqoX8kF6mVS7+DFl1\nugHAy1oVZbcW/yUANmoVtDchk6ojjVfYBbkn4JH2GrwGcvq7DkfYa5CIyrWv5x7j+XpecxVkjxuI\nKAUy4ajF8Myi6vvYVgApRNQTR38x955Flg85/b19gOPtAbBO+7c6G3JExD7IZch7tO+vGZDzuqoA\nPKY99n7IJcpjxhUpdsIpiqKMO+3SF4umnDMj2rEwNpxaaj5r9yu20IJHH+l3k2FVVVG3YWVb4oGP\ng09fNzEnPr5swGMdaLR73161v627uyx18sTBK1ChUBCVeze2dTfv8J6XHM66NddUiF5d59bursDK\nthbbnlRVl3LD5OykrDTjUfSkAwAUnQ5ll8+60t/pq4Cce3Ss1kL2llwPANr0cgcOVg7WAniViGZB\n7lG3hYjyAHwB4F0ickPuc/cu5Lyj/hKRAec9Cbl33QrIZKcNsl8poC353dK78VkIYSOinvlSdvQz\nX0p7zLMANmjLQbWQPTTxAP5GRF2QPUN3Qfbk/J2I/JAJz0M4dHmvb9wqZBXrZW3O1gHI3qPeqgF0\nafOf2gB8iYP/2P29N3dAbsPTCW2vwT7H63s+Dw73PwBeIKKNkP1DP9Teh55ZVIr2Xt2Ow2dRHSlx\nPOR+reJ2P4AVRNQB+b7t7fOcnwN4SbsKMQHAXUKIUD8VL1UI8Q4RLdHer2QA/9aqahUANmrfX42Q\n3x8NAP6iXQiRAJmoDvZ6+sXN5uyEKyw/88flS27/biyPOWCjhMfdHmioWmWbdMVFmeaJZf2u41mr\ndrjcn7/V+c2vZeYU5RsH/N6va7B731m9v83TXZ5aPvHcQatPXd0d4crKD6z6dqHckp+ekxl/sAcr\npKr4rNXi+CLo6rSUG9NyzytLPdIQz8E49tscu9/cckPz1rpj3uQ4mkju43elEOIvWkVqF+SmynYA\nTwohvhfVAPsgorkAkoUQa4ioBMAKIfcRHBXnO8qYHodsCvcT0f+D7If6RzRjOhZckWInVM74ORfR\n/Ose4CSKjQaqqqJJrG/VpfiVBY99p98qlLu1xd+0ernt0jK/ccmdJQMWgmrr273vrq5t83jK08qP\nUIGy2uo8ddUb2nK665MeKcrL1acfnKbQ5vGEVrY2tValhJWEq8uzUvKMxqPajO8IjOPMxsK543+d\nlJW6uavV1XfvupNZG+TS3q2Q1YQXhBCNRJQKeQXhyWY/ZP/TU5C9T/cd4fEj7XxHww3gcyLqhqz4\nDWmJLVq4IhUB2pC63uvavanaGvuok2ouLio54+ur8ybOp2jHwtjx6nJavI3Va9un3XBtTnpB8WH7\n4wW8HtSsWN4yzVAXf9ulk4wDHae2vt3zzuradp93clpZyTkD7p0XVsOo2b/F6WjY4p4b22lamp2V\ndPA+FZtt1o7P/C5XM6Wk5l40Je14qk8DUVUVFcs3vS3e3n6pyh8WjPWLK1KR8UvINfU7IWdk9DYq\nfzgpihIzce41f+Mkio10ajiEht0fWOIL4mMXP/7EYcUeNRxG7fr3bSmNn4R/ef2k3HjDpH6Ps/9A\nu+fdNbVtPu9UY1nJwBUof8CLXZUfWEOtlaGrM+OzxxakpPf0Yzu83vDK1qbWysSgGnvZpKy0MVPT\nhqP6NBBFUVB68YwLvY7u70LuVccY64MrUhFCRN8GUCqEuDPasURCQdmSJ6ecdc/P9Ib+5+gwNhK4\n2g50W+o2OmfefntucmbWYRVly+5tHV1fvN35rQuzcgty0/stCe2ra+t+d02d3e+fml42YdmA89Mc\nHVa/qPrQltaxz3DbmBxzol7+nquqKr5sb3N/6nU468clpuRdOj1dp4/sSrmtstmyc/mmc9v3Wo5l\nKjljpwROpCJEu8qhTAjR9wqKUSfZlF9Ytvi2jdnjThsT7VgYGwq5yfD7lnTKjZ904WWHbTLssjT5\nmtYst105NWxaOKuwv9lGXyVQAf+09EkTzuo3gVJVFQeadrtb9n/unBRqTbssP+erBvEOn09dZW2y\n7k4IhpWvlZiNJdlR3U5p95tbVle+ueV8VVXDR340Y6cOTqQiSLt01gw5q6NdCBGKckgnxIQ5l79W\nuuCmq4c+hoax6HFYqt1tLZs7Z99zb2588qEX0fm7u7BvxfKWmUkN8TdfVNpvH1R1ra17xZoD7YHg\nDOOk8Uv7TaB6jS/wnZ8SzpxhMsUBMrHa6Wjv/Ljb7jhQmJCUfcU0k95wcnRg+Dt94c1//egHTV/s\nH8pIBMZGLU6kIoCIsiFH4J8POckXkNsfbIAcWV8frdiGW/a4066YfOZd/0hMy44/8qMZO3mEAj7U\nVaxoyZo1MbnkzPMOaQJXw2HsX/euLb1lU/g715VmG/pJbqprbd3vrTlgDwdnpdP4xf0mUJ3dHeHK\nyrVWg71ad0teenZGvPzfpDsYwMqWRmtFnD8YPmec2VSWP/jGexES8gdh2dnU4W7ocvnaY3XBjrhw\n854vZntcNmu0Y2PsZHFy/Koz+r0OuUfRDUKIIAAQkR7A1QD+CW2C7EinKEr8lLPueYKTKDbStDfs\ncjqduz2nP3Bfrj7+0L6+lp2bOzxb3+t86JLcvLxzJx9WZt27r7V7xQf1WgJ1Rb9N5JbW2u666g32\n/O6GpO+MycvVp8sB/5UOe9f6znb7/vzYxJxvzcxOj4/q6h1UVUXHgXavrcrm8LUpgXC3KblgwhUm\nU35mGvLl/WpI/0vI6eSMMXBFKiKIqFII0e9IYyLaJYSYHOmYToSiKWf/espZdz+ii4nuhwFjR8vv\n7VIPVLzbUrj49LTiuQsP2Telo6XB17LmNdvXpyNz3syCw345EPtau9//KoE6vAIVVsOo3r/Z4ajf\n0jUvtsu0NCcrEQA8wSBWWxpbd8Z6A74lxZnmGUVxfZ8bSd6ObtWyvand0xrs8tsNcUbTXJN5zMwB\nK2KutgPuyo9eusR2YPu6gR7D2KmEK1KRUUtEj0JWn1q023IB3AS5B9CIZ8ydOLls8a03chLFRorW\n2q3tXf664PxHHszT6Q/+KPR1udX9K5a3zE5tTnjsNjqswiRqrF0rPmhwqOrsdBp75WH3+/we7K76\n0BpurQxfnRmfXVyYYgSSUN3h9KzrsLXVZMckmO+fmZWaGJ3Vu3AwBFtli9tZ5+rwteuhDxWmFZbe\nnqkfk5iJo7g8JDVzTErmmGk/UBRlPTeeM8aJVKRcDzmDZSPkHkkK5G7hKzBKSuSZY6Z/15Rflh3t\nOBg7El93R+jA7hWWkguWZU6dculX1aBwKIT9H77Tmtn6BX597aQ8g+HQEWh7aqxdK9Y22HXqHNPE\ncVcdlkA5nFa/2POBzeiqjXugKDs7fqwZvlAI7zXV23bEeHzd8wsyzKfPLzyRc58G4m5xBqw7Le3e\nNtUfcqUk5Bafk1mUU5SCIW4hXjTlnMWOpqpbALw0nHEyNhLx0l4EEZEBQAYAPwC7EGJUvPnG3InT\nJ59197r07AmHXSbO2MlCVVVYaj6zBfV2ddZtd2f1ngTevH2T0/vle57vXFGYa844dJVuT7W1a8WH\nDQ6deoaxZOy8pL7HPNC4y9VS+1lHeagt7RJtfEGty+X9wGltqzbHxGVePd1sSI5s22DA44dle6Oj\ns9nn9ttj9cmJ00w54+fHD+f08/1b3/pg90cvLRu2AzI2QnEiFQFElAXZbH4e5N5G7ZC7hL8O4NtC\niK4ohnfcSk6/6v+VLrjhhmjHwdhAPO42f/2e1bbyqy7NyhxPX60/OxvqvJZ1r7dfd5ouc87U/EN6\nlar2Wrre/7DRrihnZEwsnnfIrKhgKIDKPRvaPC07fRekwjzNZDQEwmGsszS1fal0e1xzckzZC0sO\nSbpOJDWsor3G2u2odji9bbqQ4stKKZx4QbohcdA9kI9Lt6vVt2PVHy5tq9+58oSdhLERgJf2IuMF\nAC8DuArANQAytb8/AuBF7bYRKS1r7KQpy+69INpxMNYfVVXRWPVhqz49rFv8+GNfrap53S51//uv\ntswzWZMev23iIattu4Wlc9WHjY4Y3dwMGvv1wt73dXY5w5VVH1jj2vfqbsk3ZpuKjWjodPtfqq9u\n2mtS9MY7pmcnpCciEvP8u9s7w9YdTe2e1rDH70iIz8pdklGQV5oHcwRODiAxNSsus3DKnQA4kWKn\nNE6kIqNYCPEf7etXiOhLIcSzAJ4koqpoBna8MoumPWjMpQE3aGUsWjodzd7mmg/t0266MSctr0AH\nyInl+9a+1Zpt/xLPXluWp9enffX43Xta3CvXNXXodfNMNO7QBKrFus9zoGZje4GnMek7RXm5SM3G\nBmuLfava2dU+I8uYe9f8/NwT/HpC/iCsFU0uV31Xh689VonXTzAWTLzXrBsXvZFTWWNnnZWePX6a\n07pvR9SCYCzKOJGKDD8RnSmE+JCIzgbQAQBEdDqAzuiGNnSxcYnp089/6Pxox8FYb2o4hAO711iT\nCpNjFz3+RF7P7U1bP3UEdq70PnFFYW6m6eDEkV17WjpXrmtyxurmm0rHXf1VE3lYDWPvvi8czoYt\nXQtju0035GQVtHQZ/f9o3N+8N12NSbl5anZiZorpRCVQqqqio97ua6tsdXjbFH+4Kz0pf/ylGWPy\ns1MRjY71fqRlj0/LHDPtmwBuj3YsjEUL90hFABHNAfAmgHgAXQCugGw4fxnA3UKIrdGLbuiKJi/7\n6dSzv/FdRRcT7VAYAwC4bHVdlvpPOk674468RFMmAMBRv99j/fD19pvmGswzy3O/6oOqqGrpXPVR\ns9Ogn28aXzTnqx4on9+DXZUfWMOtleHrshKy85OSdZ+0Whybg67O1ikZ6TnnlKYMZ9N2bz63F5bt\nDe3dlmCX324wpJtOz8gsnBl7os43HGx121p2rP7jTI+7zRLtWBiLBk6kIkTbtDgTQNtouFpPURRl\nyrJ7t4yZeu7MaMfCWDgUQF3F+y2msoLE0vMvSQMAr6sjXLvin5aFWW1JV55T8tUa3o7KZveaj5qd\nhtiFGeOLZn+VQNmdFv/ePR/aTK7auFuLsjPdAX9wVWuzrTI1rEu8YnJWSk76sG8eGQ6F0VbV0unY\n3+H02/VqTDA/LX/i+amG+H73QT4pqaqKig+ef/bAjpXfHuoxiOhxAGdBXowTBvAdAM9A/qIpjjdG\nIvqXEOKK4z0OY/3hpb0I0ZInW7TjGC5pWeMXmcfMmBLtOBhztAhXm/XLrtl335Mbn5yKcDCAmtX/\nsea7d+ieuaYsT6+XLXw7Kpvdq9c1dyQYFmVMGn9NISCTgLqGCre17nPn5HB7+hP5Ofmfh2M6/mLd\n39BSmpaWe+sZudnDXA1yWzsC1h0tdq9N9YXcyYk5hWdnFOUUJw91plO0KYoCU37Z1xRFeUJVVf+x\nPp+IygBcJISYr/19GoC/A7APV4ycRLETiStSEUBENwNQIQdx9qUKIV6JcEjHbdysi39fvuT2B6Id\nBzt1hQI+1O58tyV3TnnK+CVnJwNAw+aN9vCu1b7vXDUm15Qupw/s2N3sXv1RS0di3KKM4sJZCUDP\n+IL1Nk9Lhf+iVJjzExP0q1qbrJVJQcReMik7rShz2LKnoDcAy/YGR2eT1+2zG/TJCZONORMWJOh0\no+f32IC3E1ve+eU1bfU7/+9Yn0tE+QA+B/AUgFVCiCZt5t4qAHcDsEJe3WzSnvJNIcQuIroKwEMA\nQgA+FkI8QUQ/BFAMoEB7/P1CiE+JyCKEyCGijwBsAzAZcuP4q4QQ9UT0fQCXQv6ymwjg+0KI9UN6\nM9gpZ/T8n3xyOxPAlZBzo/ozohIpbVlvbrTjYKeutvqdjg5Xle+MB+/P1RviYa+r6batf8Nxy/z4\nzGl3lpkAYPuuJtea9S2uhLglmWUTrikAAHeXI1RV+UFrvL065pYCY1Z1UsC1rttpbcxLTsm96fTc\nTP3x509qWIV9X6vHvtfu8LbpgvCaUwvoOmNGYboRhUd+/kgUG58MU17puQCOOZHSEqeLAdwP4Cki\n6gbwPe1uBcCTANYKIZ4nohIAL2mP/yGAWUIILxG9QkTLIH9htQkhbiGiyQD+AWC6dju0PzcJIR4i\nop8CuJaIVkLO+DsNQByAil6PZ+yIOJGKACHEzURkgvyt6cVox3O8Us1j52UWTZsa7TjYqcfv7VQP\nVLzXMubMuemT5zxi9HQ4Qnv/9TfrkjxH8pO3T8gHgG0VTa61G1pciXFLMssmXFsAAM3Wmu76mo/b\nizxNKffkmHJWx3qsv3W7mmMuoKz0CZNTj/ciOI+jK2zZ3mT3tIa6/Y74+MzsxaaC/LKIzXQ6GSQZ\n885QFCVGVdXQsTyPiMYD6BBC3K79fRbkbKom7SFTACwloqu1vxsBTABgBvA+EQFACoDx2v1rAUCr\nWvW3YLpN+7MBQA6AUgBfaO0XXiLagv5XDxjrFydSkXM3gOuiHcRwyCgovzIpPSd6w2vYKclau6Xd\nE6gPzn/kwTxVVSHee81a1L1L99z1k/J0ugx8WdHoWrve6kpOXGoum3BtQTgcwp7qT+0djVu7Fxg8\nGVP0uvSPY7ocP09S1bxHTsvJ0A/9x18oEELrLjnTydsWo8Trxhnz6J5M/VgDMHYYX/QIYi6eWWrK\nn3QRgP8e41OnAriLiC4WQgQAVANwQC7ZAUAVgC1CiOXaMuB1AGohE6FlQogQEd0GYAuAywDMAbBK\nq0gd6Od8fatNuwE8oF0QZAAwo5/HMDYgTqQiRAjRDOA30Y7jeGnLevOiHQc7dXi7nMH6yvetEy86\nLzO77NK4hi822JWqNb4ffn1cblpqObbubHCt3dDqSkk801xecl2Bz9+NrdvetsJWFb7YZMjeBWfg\nQ8VvDy+bYM6YVFZ02G7DR0FVVbgaHX7bbqvd26b4w51pSXnjLskoys1OxYmexDlCxCWmKek5E8/E\nMSZSQoj/ENEkAJuJqBOADvKqvW9BJjQ/A/AiEd0F2df0lBCijYieBbCBiGIgE6vl2iEXEtFayF6n\nu7TbBkqMVK1ytQKyT6sNQED7j7Gjws3mEaIN4nQA2AG5tj8VwEYAzwghjqkUHk2p5uI5sy56bEOy\nMS/uyI9mbOhUVUVL9Se2kKEDs269y+yoq+lq2/Cm845FSVnlE7Nit+xocH2wsdWdkniWeUz+VIPd\n2eLfu+fD1gxXbfzsFEPCJm+Hva7AkJR9xXSTPj72yCfsw9/pQ8v2hvZuS6DL324wpKafZsoaM9tw\nMs90ira6He9vrFj7/KJonZ+IngJQIYT49zE8xwzgSiHEX4goDsAuAEuFEI0nKk42unBFKgKI6FcA\n5gFIA9AMeRXK85AN6M8BGDFXv6Wax57NSRQ70bpdNn/jntVtk6+9Mis+3aTsee1PzcsKXSkX3zEu\nf8v2etcv/7DVmpq8LKt8wuTU2vodrs/W/9U6MdhqKteFDDuTfL7/LjGnZk6bXHgsvU/hUBhtwtLl\n3N/h8LXFqLpAXloB3ZaRVZSYgaIT9lJHlZSMosn62PisYMDbGu1YjkEbgNlEdCtk5eoFTqLYseBE\nKjIugGyYNALYByBDW9dfAWB7VCM7RknpueOP/CjGhkZVw2ioXGeNzVBj5j/y7byala9bxnor9c/d\nUJa3dWd3x9N/2NqYlrzMXDqutGD3no9sLZWrA1N0nWlhxY/NebGenKunZ6XFH337XmerK2jd0Wz3\ntsET7EhMzC48O6Mwa2wSsk7gixzFjLlkNBdPvxbA76JxfiHEj4bwHBXAbScgHHaK4EQqcuKFEO1E\n9J1eS3mpGGH/BnFJ6ZxIsROi097kad6/zjHtphtznHV7HS2v/rjlR1ePy91Tner81Z++bDKmnJtZ\nnJebXFm51tq2863YwhiPsi8hHN60qDDGfFpx4dH0PgW9AVh2NDo7mzwun92gT4wrTc8ruTxLlzai\n/jc8aeli9EjOKCqNdhyMRRL/9IiMPwLYQUSlQogXAICI5kPOOPlFVCM7BoqixM266PFx0Y6DjS7h\ncAj1u1ZZkovT48quuCTVuvLlljvPTMl2JSV1/uml3Y2m1HPMGalxsfU1G202Z01KZoIarinQA1+f\nlZmcHI/kQY6tqioc+23edtFu97YpQXgyUwpKrjFmFBjTMZSuc3ZEhoTjnibB2IjCiVQEaE2MK/s0\nlR+A3BZhV7TiOlbJGYVz0nMm8A9JNmxcrbVdlsZPO8qvutLc+sl7rTNaa9IyZ+qT3nqvwZKecm5W\nrM4Rrq/8oD2u80CiLsOA9nNzDbHzJxQM9k3ocXarlu2NbT0znTIyF5gKCqfkITNiL+uUFmtIyIt2\nDIxFEidSESKEqO3z90YAI6qhMc08dkF8cgYPqmPHLRQM4EDFihZjaX5SFuUr6V++3LG0PClpw6cO\nZ1LCkixfd4Ovpvpf7jQ4/Z2FCXrDN+amJ6Ylpve3lW84GELr7mZ3R12n09euVwwoTs+nu8364ji5\nWQiLqNj4lFxFUeJUVfVFOxbGIoETqQggokGv+RFC1EcqluORmJ47XlE4j2LHx968p6O9dVt37oxJ\nhoSGz7uXkCFh05fero3W8qROu677QNOr3swMXSB0Zk6yYcmsjL7lDVVV4W52+m27LHZvm+IPulMT\n88demFmUm5vCM52iLyWjMDsuMX0i5FYrjI16nEhFxgrILQ1aBrh/RMxCjktM44vA2ZAFA17U7Xy3\nOTEvKTnb5FdneTbq67rC3nUbc3U+pzfWbX/TEz8+RZ/12OzUxIzk1N69T4FuH1q2Ndq7Wvxuv90Q\nl5oy05gz9uocnZFnOp1sEtKyY1LNxXPBiRQ7RXAiFRnzAHwM4BtCiI+jHcxQ6fSG1GjHwEYmW/0O\nR7v1y1BmTgKKfBVhf3essvmAMdzlbEyO063vVuYVJI85+5zknmGXajiMNmHtduxzOnxtMWElkJtW\nSDebzEXJJp7pdHLT6WKQmJ4zSrdnZuxwnEhFgBDCRUR3ArgDMqEakXQx+qRox8BGFr/HHa6reKdV\n0btj8wxt+hS7PlxnjVfdruak1FyrN+u+GebknLQ0AOiyuYPWHc12j02VM53yl2YUZpfk80ynkScu\nycQXpbBTBidSESKE2ARgU7TjGCpFUZSZFzwy2JXmjB3Csv+LdkvtBn1GciAhI+ALtTbq9RZfCzIW\n5enKLlicGg6EUq0VTc7Gz5pcvnaDPtFA6XkTL8vSpfKPpZHOEJ/M3WrslME/sSKAiAp6thwgolIA\n5wDwA3hPCNEQ1eCOXoLekMAVKXZE3i5HcN+WNzrDgea4bHQqrgYD/EndocK7ZyeGg2P8bVVt9t3/\nqHbCY0rJn3CV0ZSfkQ6uX4wquphY/qWLnTI4kYqMdwDMIKIrATwL4N+QO5w/RkSPCiHeiGp0R8do\nSEjjH45sQKqqomnPekfznjVJyTpXouI3+AKTEtW0eWafpzXUVfueK5BhnmssKJzOM51GO0U59l2i\nGRuhOJGKrCcALBRCHAAAIvoZgI8AnPSJlCEhzWxISEmIdhzs5NTVYfVVf/ZPBDtrkw2BcEApzXDH\nGTL94fCY9Ez9uZn64vhMnul06lAUhT9b2CmDv9kjqxOHDuFsBRCOUizHJDEtqzA2jlf22KFUNYza\nrW/7LTUfxehCXo+RZvnzx51vSjYV9Dc7k50iFEXHFSl2yuBEKjLSiKgKgALgGQAPEtEsAE8B+CSq\nkR0lRReToMTwtws7VJfDElZiYoOFUy7qlt/egKNlb7ujZW+UI2PRZG+qTIl2DIxFCn8yRoAQYhwR\nZQCYDSBOuzkHwCoAz0ctsGMQCvgcoYAP+tj4aIfCTiLJpjxdsikvEQBXoFhvI2r7K8aOB48FjhwH\ngC4AiUT0dQAdAP7WZyPjk5bf47KHAt5oh8EYGwlUNRDtEBiLFK5IRQARzQPwdwAHcHCbmFwAE4no\nNiHE2qgFd5S8ne3OUMAXAhAT7VgYYyc3VVVHxC+IjA0HTqQi4wUAXxNCVPe+kYgmAPgvgMlRierY\nOP1eVyeAtGgHwhg7uYVDfne0Y2AsUnhpLzJ0fZMozf6IRzJ0Dl+X0xXtIBhjJ7+gv9sa7RgYixSu\nSEXGe0T0LoDlOHRp73oA70ctqmOgqmp4xvkPdQDgzUgZY4Pydbs4kWKnDE6kIkAI8Yg21fxrAPIg\nrxNvAvCSEOLNqAZ3DMIhvzPaMTDGTn7eznZOpNgpgxOpCBFCvElE/xZChIkoFQAB2BPtuI6F39PJ\nl6FI1X4AACAASURBVDQzxgYV8HXB42rtr5WBsVGJE6kIIKKzIK/aW0ZEOQBeBdAAoIiIbhdCrDie\n4yuKYgCGfQOOOlVV/b1v8LhtI6mnizEWBd1Oi9dpqf4y2nEwFimcSEXGcwDOEULsIaKXAJwrhKgg\nonEA3gZwXIkUgOI5lz8lEtOyjjtQAOjuaMUX//4RAThkPLW7vX5X0O+B3iC33LPXrEN3Ww3UcAhQ\nFJgnXQBb5bvInno5DMnHH0vzlleQd9pNx30cxljkdHVYWiFbFxg7JXAiFRlBIUSl9nWsEKICAIQQ\n+4loWE6QmJaFZGP+sBxrIPbG3Ws7Wvd3ZBSUp/ncVnRaK1E0/z4AgM/VDMv2/4MudvgGXHMSxdjI\nE/R7rDxHip1KOJGKjI+J6B8AngbwdyL6BYDXAFwDYGtUIzsGqqrapp/3rbqMgvJpOn08gh4nOuo3\nI9E8EXGpeSha8AAaN/0NgIJQwAPrjjcRCnQDALLKL0Fcag7czTvhqN0IRVEQbxwL86Tz0SZWI+hx\nIOjtQMjfjazJlyLBVIx9a36M8Wf/AA2fPo+4tDz43VaEg17kzroBsQlGtO9di07rbsQYkqCGAsig\nc5CYMT66bxJjpzhvp70q2jEwFkmcSEXGtwE8CtkbNQHyfb8ewDsA7o9iXMfM73HvAzAtNiENebNv\ngbPuU7RXr4EuxoAMOld7lAp7zTokmicgfcxc+DttsO58A3mn3YL2vWtQtPCb0MXEomXba+iyVUNR\nFMQYkpAz/Wr4XBZYti/HmEUPoWcTXChAfHoRssovRtuelXA3bUdSFqHLJlC04JtQw0EcWP/swccz\nxqJCDYfgstXuiHYcjEUSJ1IRIITwA/gpET0NwAwgDKBdCBGMbmTHztvZth8A/F3t0OnjkTPtKnm7\nsxFNX7wIfXwqAMDnakF32z64m+XP1FDAg0B3O0L+TjR98SIAIBz0IdDdDgBIzCwBAMSl5iDoO3wo\ncnxaHgBAn5COkM8Nf2cr4tMLoSgKlJhYxKcXAFBP4CtnjB2J07rPbW+sHDEjXRgbDpxIRQARZQP4\nHYDzAfRMB08log0A7hNC1EctuGPkstVtC/o98Lla0FG/Cfmzb4Gii0FsUiZ0sQmAIoflx6VkIS6t\nAKn5MxDwdMDdvA2xiSboE9JRcMZdUBQdOuo3Iz69AJ2WXfA6G5CURfC5LIhNMPZz5kOrTYbkHDhq\nP4WqqlDDIXg7mpHGFSnGosrdVlfp63aOmJ9njA0HTqQi43XI/fZu6KlCEZEewNUA/glg4fGeoLuj\n9XgPcVTHam+o+Fdr7Zc/yaP54/ydraj/+PdQYuIAqDBPugCO2o8BKDBNOAuWHW+go34TwkEfMiae\njRhDEoxjF6Lh078AqorYRCNS8qcDADz2WjR+/j8IhwLInnrFEWOMS81BUlYpGj75I2IMSVB0MVB0\nvJ8yY9Hkcdl2RjsGxiJNUVVeDjnRiKhSCFE2wH27hBDHtWlxpOZI9aD51/1z4hlXXzdcJ2rfuwaG\nlByk5E456ucEfZ3obKlAevFchENBHFj/DArm3o3YhPThCosxdgxCwQC2vvP0Pdb9W/4a7Vj+f3t3\nHl5XVS5+/LvPnHkem6Rz39IZKKUtrRSwooKMBWVSuCCiIv4c7tWr6FUugt7rcAUFRAVEZBZBkLED\npbS0tHRO29W0zdTM83zm/ftj74SkSTqmTZuuz/PwJNln77XefdL2vKy19no17UTSI1InRrGI/AfW\n6FPvWntfBPYea+N2wrP7kCcOkaZKtTwc8l/vcvtOVJf9OD1x+FvKKV21AcOApIJzdRKlacOoqXJn\nQ23xR3p9lHba0YnUiXEDcC+wir619l4Hbh6+sI5OXcnGZ+pLN/8oe8Lc0UPRXtqkxUd8jWEYZM+8\ndii61zRtCLTWl242TbNhuOPQtBNNJ1IngFKqmVNsm4ODMU2zc/KCm9ZlT2BIEilN005tkXCIpspd\nbw53HJo2HHQidQKISDLw70Aj1kaczwMzsEaoblNKVQ5jeEeluXr3e5Fw8FqnyzPcoWiaNsxqizcU\nV+1e/fBwx6Fpw8Ex3AGcJv6C9V7PAj6wf84GXgBOyYWZNXs/fLK+dLOup6VpGs3VRctN0+wY7jg0\nbTjoEakTY6xS6nIRcQP7lVKP2scfF5G7jrXxE/3UHoBpmm0T5ixZljV+ji6Ip2mnsY6mKn9D+ba/\nDHccmjZcdCJ1YoREZIpSaoeIfLL7oIicBQxFcc8xC//zEhWXkTAETUFHXRur7v+XcJAnAUVkaSAQ\nfaKl9rwrEtMLEve+fQ+pEy8idfz5AJSveYTMaZfjTcw5rD7r1du4fIkkj57b53jlhiePS/Himm0v\nk5A7fUhr8wVaK2mv3kHapE8e+uQh1la5lWB7zVEt3B9KtYX/JGXcJ06JJyhDnY1UbXyaggV30la1\nnfpdr5M85jxSxp433KGdUmqLP1rXVLV71XDHoWnDRSdSJ8b/A14RkclKqW0AInIF8DusTTmPWVxG\nAgm5J/TD651YryOzZt/6pW5H5KrYjEl01O4idfz5RCMhwv7mw06iwHoKbyDHI4my+hv6Nr2JuXgT\nc4e+4VNI5tTLhjuEo9JRu4OMKZcSnzXgdm/aIKKRME1V6o3hjkPThpNOpE4ApdQqYOIBh98ARiul\nhmJEaji8A/yovmzrw/Ee8/KkgjnO+p2vEwn5CbTsJyZtHKYZpWbr3wn7Wwj724jPnkK6XExb1Taa\n9q7EcDhwehPJOesGTNOkvbqQ9qqtRIKdpMmniM+awt537mH84h9TvuYRvEm5BNtqiIb95Jx9I+6Y\nFBp2L6W9phCnJw4zEiJNPjXoKFNz6Qe0lK7D6Y3HjASJz5lOS/kGWsvXAyZpkz5FJNhJU/EqDMPA\nlzKWjDM+Q1djCXU7XrN2T3e6yT37JsL+Vqq3PI9hOAGT7DOvI9TRQEvZWnLOuoHi5b8gJnUswY46\nnJ54cmffhBmNUL35WcL+NtwxSXQ2FDN+8d19YmwqXk17dSFmJIjTE0vu7C/RWrGJjtpdmJEQoc4G\nUsYvIil/Nl2NJdQWvorT7cNwuvAl5fVpKxoJDdhf+ZpHcHrjiYa6GDXnFqq3vECosxFMk5RxC0nI\nnYm/pYK6wlcAB4bTRdaMJWBGqdr4N1wxyYQ6m0jInUmwrYZAawVxmWeQPvnTlK95hKwZV9FasZlw\nVxPhQDvhrmYypn6OuIxJtNfsoGH3OzhcPpzuGLyJOX1G0SKhLqo3PUM0HMA0o6TLxcSmT6Bk5a+J\nTRtPoLUKDMidfTNOt4+6nW/gbyrGNE1Sxi4kIXcGzSVraN2/EQwDX1IemdMuJ9TVTM3Wv2NGQxgO\nd5/d89trdtBRq/A3V+D0xBGToh9GPVy1xRtKK9Wqh4Y7Dk0bTjqRGiZKqcBwx3CMNgOTG8q3vy1T\nZnXkzFqSGJs+kc76IgKtVcRlCOGuFmJSRpNUMIdoJETxsvusRKpyCynjzychZzqt+z8iGvZjGAbu\nmCSyZiyhs2EvTXtX2qMD9tCRAb7kAjKnXkb9rjdpq9hMXKbQUacoWHAXZjRM6cpfc2BNvm7hQDtN\n+95nzPnfBsNg/wcfr/F3uGMZdc6XiAQ7KV/zMAUL78LhdFO16Vk66ororNtNQu5MkscuoKNmB5FQ\nF531RcSkFJA++bN0NRYTDfv7dB3qaiJP7sAdk0TZ6ofwN+/H31SGOzaN3LNvItheS9vKX/eJ0TRN\noqFO8uZ+GcMw2L/uT/ibywGIhv3knXsbwY56Ktc/QVL+bGq2/YPcs2/EE59B/QBPnreUrhu4PwMS\nR51JfPZUmopX4/LGk3PmdUTDAUpX/ZbY9AnUbH2R7JnX4k3Mob26kLodr5JxxqWEOhvJm/tl+/f5\nc8YtvhvD4aZ4+X2kT/70x78uw8BwuMg791Y66opo2vcesekTqCv8J/nn3YnLG0/Vpmf6xdxYtIzY\nDCFl7HmE/S2Ur3mYsRd+n2g4QMKoWWROu5yqTc/QWbcLh8tHuKuR/PlfIxoJUb7698RmTKSl/COy\npl+JLzmP5tIPMM0odTteI2XsAuIyhc76Iup3vUG6fBqA+KwptGdsJ2HULJ1EHQHTjFJbsukV0zT7\nVxnXtNOITqROABH5EmAy8Ke8qZR68gSHdMyUUlER2SIin46Yxp6gv2NWXKY42mt2EmyrImXcQsDA\n31xOZ8NeHC4fZjQMQMaUS2ncs4Lm4tV4EjKJz54KgNceUXF5E4hG+q9z9yVZ02aumGQigTaC7bX4\nkvOtD22nG19yHtbb3F+oox5PfGZPPT5fypie1zzxGQAEO+qJBNup+PDPAETDAUKdDaROvJDGomXs\nX/soLl8SvuQCEvPn0LR3BRUf/hmHy2clEb26dnpiccckAeCOScKMhgh21BKXIXafmTg9cX1itJIP\nJ9WbnsZwegj7WzBNa8Cye8rQ5UsiGgkBEAm09cQekzoW/wG1Yg/WX889t9cRlzEBAIfLiyc+i2BH\nA2F/W8/UbEzqWOp3WbM37tg0HC4fGE6c3nic7pju6Pu9517799V9/5FgBw6XD5c3vqfdSKDvZ3Cw\nvZbEvLN67tXh8hIOtNvvwSj7eDLRSJhQVzX+lgrKP3gEsD7Yw11NZM+6hqa97xHqbMSXMhpMk2Bb\nNY17ltO4dwWYDFyXUZfLOiI1e9eX1uxZd89wx6Fpw01vf3BiXAg8DCwa4L8LhiekIfEO8EMH0T9V\nqvfXxaSOJdBSgWmC0x1D6/4NONwx5Jx5HSnjFvYkAC1l60ibtJj8+XeAPaV3ePp+WHvis/E377dG\nciJh/C2V/c7p5o5LJ9heQzQSwjTNnpGe3u26Y1NxxSSTN/d28ufdQfLo+cSkjKZ1/0YS82eTP+8r\neBOyaClbS0dNITGpY8mbezvxOdNp3PvuAV0PkFgkZNPVVApAsKOBSLDv0+KB1iraq3eQc9YNZE67\n3Ppg7/ls79+ey5dIoK0aoKfdw+/PsM/JpKuxGLBGvYJtVdb74Eu0ptGArsZ9uOMy+r+ph9Q3Zqcn\nnmg40BOHf4CYPfGZdDZY8YS6WoiE/Dg9sVZrRv9zY9PGkz/vDvLO/TIJOdNxx6bRUvYhmdOvIn/+\nHQRaK+hqKsUTn0n6GZ8lf94dZE67goTcmUdxP1o3MxqhtnjDi/6OJr2TuXba0yNSJ4BS6ksikgq8\nr5T68/Hoo6Nu6EbXj6CtpcCjhmHc0FC+LZwrC+c43DHO7pGj2PSJVG96mv0tFbhikvEl5RH2t+BL\nzqdy/eM4XF4Mp5e4zDNoLll9QNOHXg3uTcwmLnMy5at/h9MTZ61hcjgJtFbSUr6hz8JnlzeetIkX\nUb7mIZzuWAzHx/8P0f0B7fLGkzJ2IeVrHgbTxB2bQsKoWfgiIWq2vIjD5QHDQdb0q631X1ueo6Fo\nORAlY8plRMNdB4nbIDH/HGq2PE/5modxxaRgOPr+9XPHpWM4PZSveRinJw5v0ijCgdY+MVrfWz9k\nzVzSE5fDHYs3IatPewf253C6+0WVVHAuNVtfpHzNQ0QjIdImLcbljSdrxhJqt79sd+gke+YSrKGc\njwMZ7AGBwe7fMAwyp13B/nWP4XT7ME2zX4KWOuFCqre8QHvVVqKRMFkzrsYwHP36MgyD+KwpdDXs\npXzNw0TDAeJzpuNwefEmZFO+5mEcLi/umCRiUgpwx1xKzbaXMCNhzGiIjKmX97uf4/IEwghVVbRm\nT+XuNXo0StMAw9TD2SeEiOQC1yulfjnUbQ/HPlIDxGDIeTe8NfHca07Y8/fhQDvtVdtIHjOPaCRM\n6cpfkTfvKzg9sTQWLbem204iXU2lRMMB4jImEWyvo+LDxxh74fdGTH+Ho3HPClLGLcRwuKja9Cxx\nGZN6pvK0U0M45GfrO7//QcXO9+4f7lg07WSgEyltyKTlTztv6qLb/pWUOTbpRPRnmiY1W18g0FqD\nYUB89nRSJywiEvJjGFhreU4i4UAbVRufxoxGwIyQJhcTlzFpxPR3OJpL1tBS9iGG04M7NpXsmdcM\nvF5JO2kVb/rXh4Ur/nieaZrh4Y5F004GB02kRGQRVl24QqzVGonAPuAGpVToaDsVkVexivguAhqV\nUq8eQ1vPAOOAm5RSg24gOdxE5NPANUAeEAUqgdeVUn+3X18EfEUpdV2va2YClyml/nuQNr3Ajcdj\nulBErgTWKqWqjuS6sWdd+tjURbfdcmTTPpqmnQq62uqD25f94ebqvR/2f+RS005Th1ojZQJLlVLX\ndx8Qkb8BlwF/P8a+TaXUUJQVuEgplTkE7Rw3IvLfwDnAU0C1fTgHuFVE5iulvsMAj5sppbYAWw7S\ndA5wG3A81l3dBewAjiiRqlKr/z0lZ/L8UZMXynGISdO0YWKaJsUbX3u1Zt/6Z4c7Fk07mRwqkTLo\ntXpWRDxYH96N9s/3AwsAJ/BrpdSLInI+8GOsJwLjsdYFFYnIT4FLsD6Y8wFDRH5i/7wL+D4QwBpd\nelYpdZ+ITACeAIJAKTBGKdXzlJuIPAQkicg/sEZ7ngDG9orneRF5F6gBUoGLlVJR+9on7P4mAHHA\nF5VSu0XkG8B1WInNs0qpB+1zU+3/rsAapTMAH3CHUmqLiHwHa5fyMPCeUur79v2NsWMrAWqVUktF\nZAlwC+AGvioi9zHAKuXeo1QiUgS8D4h9P1cDPwSmiMjdwAPAY3aMAHcppbaLSCmwEysp+g1WkeQY\noAu4Hai37ycRiLXbdGMVWP6LiCw8ktFHf0dTQ87Eeb9Kz5/2kDcuRT/MoGkjRKVatauqaM1XTb0e\nRNP6OJztDy4UkRUiUgh8BLyklFohIp/BSmwWYj3e/0MRSQKmYE03XQC8BFxj15S7QCk1GyupiLfb\n7v0XsgC4CpgL/Id97H+Be5VSFwIHPtaFUuprWFODVwJ3ADVKqfOATwL3ikia3cfTSqnF3UlUr763\nKqUuAu4F/ldEzgCuBc4DPgFcISKT7HOXKaUWAHOwko/PAF8H4kRkun1f85RS84GJInKJfZ0f2AP8\nDPiW3fdErKTyZqATuJjBNkD62Fjgbrv9DKwRrnuBHUqpe7ESoKX2e/UVrO0WwJpKvE4p9W3gl8AD\n9u/mV8DPsRLXNOBzWAmkSyn1OtaGm188minc6j1r/1Sy+fXXj/Q6TdNOTh3N1V1Vu1ff09lSUzfc\nsWjayeZwEqnl9gfvQqyRoRL7+HTgbBFZgVXuxIU1+lIJPCAij2PtkeTGGkX5CEAp5QfWD9DPNqVU\nVCnViTVaAjAZWGN///4h4pwMrLL7aMcagemuFaIGueYd++tqYBIwDRgNLMd6tD+Vj0u7dK+/esM+\n/xXgHqz1ToK1nqi73MsqYKr9/WbgO1hJ4bki8lesqdFirGm7aqz36FDqlVIV9vflgBd7FMswDI/f\n7z83EAh8bfTo0Wv9fv9fA4FAlmEYkwKBQNPu3bsz7O/P8vv9/22fc5/f7x+ze/fucFtb2yt+v/+f\nfr//iZaWljzDMCZFo9GjXuRkmqZZs2/Dd2v2rS852jY0TTs5mNEIxZtefa6qaK1eF6VpAzjsqRel\nVKOI3AisEJFZWNNFK5RSXxERF/ADYC/wNjBOKdVhT4kZWEnNN0TEYfd55gBdDDQisx2YD7yJNVJ1\nMDuxkr2XRSQBK9Ertl+LDnLNuVgJ0nxgG1bCVaiU+gyAiHwb2Aos6dXGIqBKKXWxiMwD7sNaT/Qd\nEXHa530CeBKYibUWbKmI/AprgX0J8FngSmADVoJ5OEnLQO9PBCsZHvPN3Pzzc2Jj+746fpLq83Ug\nE+TA1xZUje3kt5XlH/h8vkEfpxKRMVjvzUe9Di/vXhjfUruvKGfivB/FpYx6JD4lN26gNg5Us+1l\nEnKnD1or70iVrPy1VRLmCPur3PDkoMWSQ52NVG18moIFdw5JjMdTZ0MxTrcPb2LOQe9J0w6mvHDZ\n5oqdK78x3HFo2snqcBab93yAK6V2isgDwG+VUp8XkUUi8h7WVN1LSql2EXkKWCUilVhrn3LsNUSv\nAB8CtVhTY7376P219/ffAx4Tke8CLcBA00zd5z4K/FFEVmGtAfqJUqpO5KBrnpeIyM329zcrpcpF\nZJmIvI+1/mkt0D0K1N3PFuBZEfkq1vv3U3st0vNYI1UOYJVS6mX7qTtTRH6BleS5sabdioD/sd+L\ndKx1Z8X0T5Z6v/8DJVK1gCcvL+/bObGxFMQnHOxej0g0Gt0EPCkii5VSzYOcVth7zdqBqoo+eKpg\n+uJzpl3w5bucbu8h+zzRD/oN1t9ISThayz8kIXcW3sScEXNP2onVWlfSWr1n3Q+CXW3twx2Lpp2s\nTup9pETkemCdUmqviNwGzFVK3TZEbT8OPKiU2jgU7R2ir+3ALKVUWEQmYo3afc9eDL9JKTXQCN1h\nMwxj0tMXLlZDlUiVtbdx/fJ3xDTNQbeTsEeknlFKzRvgtV9hrTPDNM1nSTvrknGzLv5k9ZYXwIwC\nBpnTLsebmENz6Qe0lK7D6Y3HjARJk4v7jBAFWqup2/kamFEiwQ4yp19FTMpoipf/gpjUsQQ76nB6\n4smdfRNmNEz1pmeJBDtwx6bhby5jzKLv9oltoP5CnU20lluzzWmTFlO16RnGL/4R5WsewZuUS7Ct\nhmjYT87ZN4JpUrXxafLP+xrVm5/Hm5BF6oSPc8mW8g101ikiwQ4iwQ7SJi0mPnsaJSt/hScuA8Ph\nInP6VdRseYFIqBOAzKmX403MpmTlb/DEpRPqasabmEPWjKsJ+1uo3f4PzEiYcKCNdLmY+Oypvdpz\nkn7GpdRuf6nPOa6YJCo+fByXN57cc26h7P0HGL/4x/hbKqgrfAVwYDhdZM1YAmaUqo1P44pJJtTZ\ngC+5gKzpVx7tHx9thIiEQxSu+OODpVvfumu4Y9G0k9nJ/lRVOdboTyfW03C3DnM8x8x+gvFSYKmI\n1A53PMdoir1GrtsNwFlYDyHMFRGXYRjvd1VtuLvMX3Fu1tTPJsRnTSHQWkn1lhcYNeffaNr3vjX9\nZhjs/+APHDjLGWyvIeOMS/EmZtNasYnW8vXEpIwm1NVEntyBOyaJstUP4W/ej7+pBE9CFulyMcH2\nWio+fLxPW+FA+wD9WRzuWEad86W+d2eAL7mAzKmXUb/rTdoqNpOQOwvTjFC96Rli0saRPLpfHolp\nmuTNvZ2wv42y1b8jLmsK0XCQtEmfxJuYS93O14nNmEDy6HkE2+uo2foC+fO/Rriribxzb8PlS6Dy\no7/SXl2I0+0lZdwniE0bT1dTKQ3qbeKzp/Zpr7O+qN85eXO/TFyGkDBqFu6Y5J73tWbri2TPvBZv\nYg7t1YXU7XiVjDMuJdhRT97c2zGcLoqX/4JwoL2nuLB2+jFNkz3rnl9atu3t7x76bE07vZ3UiZRS\nahXW02nHo+1bjke7g3gBeFdEvq2U+lApVWhvgfAy4DmBcQy1HQdO7dmjiN2L/sMisjbG60wNd9Q2\nhaOOCJDsTcwl7G8m1NmAJz6zZ2drX8oYDpzBdPkSaShaisPpJhoO4HBbu5U7PbG4Y6wN1N0xSZjR\nEMH2OuIyJwNWQVunp+/SrFBH/QD9YZ8/cFHe7rqBrphkIgGrBmGgtRqnO4ZoODDgNbHpE+zYE3C6\nfT1FervrygVaq+is30tbpbVFWCTU1ROzy2eNKsakjCHUUYcnawqNRctoKVuPYRiY5sfL/brbc3oT\naCxaPuA5Bwr72/Am5lh9pI6lftcbVt9x6VYtQcDlTcCMHvV+u9oIULr1zY8q1KovHEmZKE07XR3O\nU3vaMVJK/RT4CdDe69hqrNGbJ4YnquNmJ9beYoiIG2shf5Fh8OH+TS++FQp0mP6WSlzeRDxx6QTb\na4hGQpimib+5nANHpGoL/0m6fIrsWZ/Hk5ANPVPR/Rc4eeKz6GosASDY0dCTwHRzD9hft8GLDR/I\nlzSK3HNuoXX/RgKt/fcr7W43HGgjGgn1JHTdu717EzJJGbeA/Hl3kD3rOhLzZtsx1/ckVV1NpXgS\nsmlQb5GYdzY5Z36BmLRxve7/4/Ya1NsDn2MY9lTqx1y+xJ6Yuxr39SsarGnVez/cW7HzvZs7mqoa\nhjsWTTsVnNQjUiOJUmrpAMfKgW8ORftVnZ1D0cyRtjXQbuz/sh9CWIM12vacUmqTiHzXHWn5496l\n99fHJGVnZM1cgtMTR9rEiyhf8xBOdyyGo39enzjqTCo/egqXLwlfch5he1SoP4Ok0XOp2fI8Zasf\nwh2bgtPT9ylGlzd+0P6OaKG7YeBwusmafhXVm5+jYME3+tSLC3XUs3/to0RCAbKmX4lhOOhdMid1\nwkVUb3mBlrJ1RMMB0iZZdZ4dTjfVm58jEmgnJnUM8VlnEA0HqNv5Gk3F7xOTUtCzrqq3+JwZA57j\nS86nftcbuGNTe87NmrGE2u0v2/fhJHvmEsA88Sv9tZNSU9Xu+rJtb9/VWLFj+3DHommnipN6sbl2\neAzD8GDt4TWUSo7HsL5hGJ5xs694afKCmy5xjMBitS3lG4gEO0gdf/4RX3uo7Ro07XjqaK7uUquf\n+veKXat+P9yxaNqpRI9IjQB2wnPSFmzuzTTNoGEY1zpdnlcnzfvChYYx8maXdcFm7VQT8rdHi9Y9\n/3udRGnakdMjUtqwcHvjkibMufr18edcNV8nHpo2fCKhADtX/eWZks2v36Dr6GnakRt5wwHaKSEU\n6Ggp377s6tItb2wY7lg07XQVDvnZ8d4Tz5Zsfv2LOonStKOjEylt2LQ3VVSXbn378+WFy7cOdyya\ndroJBTrNnSsf/2vpljduNE0zPNzxaNqpSidS2rBqrSveV7bt7Rsrdq3aNdyxaNrpIuRvj+587/HH\nS7e+dbNpmpFDX6Fp2mD0GqkR4FR6am8wqbmTp+RNueDJghkXn63XTGna8RPsao3sXPXko+Xbl35d\nT+dp2rHTidQIYBjGpJuu+olKTsoakvaaW2r460s/OVStvUXA80Bhr8N1SqlrD3LN7cBjwFTg2k1/\nxwAAHbpJREFUMqXUf/d+PTYxM7Ng+uLnJsy5epFxnLZGaKvcSrC9pmfvpoEMtA1BR60i1NVM8uhz\nB7ymXr2Ny5dI8ui5Pcdayjfg9MQSnzVlaILXtGMU6GwO73r/qd+Vb1/6bZ1EadrQ0NsfjBDJSVmk\np4w6kV2awFKl1PVHcM1/An9RSm0Bthz4Ymdrba1hGJeEAu1/k/k3XOF0e4cq1mMWlykHfX2gUbSk\n/NnHKxxNO2L+9oagWv30/5UXLvu+TqI0bejoREo7WgaD1FURkfOBH2OtwYsHrgc+AWQDz4jIb4E7\nlFLXiUgR8D4gQM2kSZOubq/acFPR28VbYxIzxnji0ozOhmLGL767Tx9Nxatpry7EjARxemLJnf0l\nWis20VG7CzMSItTZQMr4RSTlz6arsYTawldxun0YThe+pLw+bUUjQao3PUsk2IE7Nq2nrEr5mkdw\neuOJhrpIyJ1FsKOe5NFzqdr4N1wxyYQ6G/AlF5A1/cqetoId9VRveoasGUtoq9qGy5eIJz6Dxj3v\nYjhchDobSMidRdrEC61zNz+P4XDijkkh1NVI/rw7huJ3o2l9tNTua9r30Ss/37/j3f8Z7lg0baTR\ni821Y3GhiKzo9d937ONTgBvtgsYvAdcopf4MVANfoG8CNha4Wyk1H8gAzomPj7/ViPqfb+rg/pjs\nWV2RYDu9maZJNNRJ3twvU7DgTkwz2lPfLhr2M2rOLeSeczNNe98FoGbbP8g58wvkzf0y3oScfjfR\nUroWT0IW+fO/SuqERZhRe+2tYZWoyZv75T4lVIId9WTPvJaCBd+go3ZXT9maYHst1ZueIfvM6/Em\n5vQZpQp3NZM7+yYKFtzZE1fdjn+RNvEi8ud9hZjU0Uf85mva4agt/qhk9wfP3aqTKE07PvSIlHYs\nliulrhvgeCXwgIi0A6OwRpwGU6+UqrC/Lwd8wGTDMN4sL1z2yqjJC6sSnN4H6JV8GYaB4XBSvelp\nDKeHsL+F7gePvIm5ALh8SUQjIQAigTY88VZx3pjUsfiby/oEEGyvIy5zMgCe+MyeIsPWz/2L+nri\n0nG4PFY/3gTMiPXkeGfdbjigrl43b2K2VXPP6cFwugEIddThSxndE1drxaaDvE2admRM06Rs61sf\n7d+58tbGih39ptI1TRsaekRKOx4eBW5WSt2ClVR1/zmLAgeuIh9orcZ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az0+FuzTp6q6tF5EpiIlllbu9treHtn7rl/cV1/3HfA71NPvhGZmclJPP7VWb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\no2+jiExhAj2aNistfWlmXNy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9Jj1jxKxfOo5ziuu6Nb0UqmUdd4I+icHcLv5x4AagvMNzg3KYafrEs356wtTP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\nmuO6LuWF220SM4ip6tN0fV61unCkJKZ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E+D/gGSHEXow5Hz+WUlab0TWD2SSEuNt8fLeU\nskQIsUMIsQ9j1CSNj2Nfuo+TAbwkhHgA4zPvJ+bck80YBYAF2CulfNO8u6jP+5JSNgkhUjBGX6ow\nCqdojIKr/8+p9/kf6GdYBdjMuUmPAH8VQnwVY7TvRwPs913gaSGEwzxH3wJygR8JIW4x+/4/5rap\nwL+EEFdIKRsGPHvj0Jhf7A5ACBGDMRntseFueyTWielvcfLVv712/f3fsWjnP4Up8+RWggOiiY+e\nM+R9OjpbKC7PJClxBW63i3f3PMaG5ffjO+AojqIo/RWVZDqr6lPqIsKcnXExNt/LliRMmBDid86K\n5sm/ffjy3186cNul6OPFIIS4AzggpcwXQtwLLJNS3jtMbf8deEJKeXg42lPGhzE/EgNgRgsMewED\nYBYbI7qWQdaJPT+ZFDfnutli1dRLcTy7zY/axhI+2Pt70GBK/FJVwCjKeUiMm2tNjJsbCdDV1cHT\nf9/a7OWV2RgdqSOmBgUtSo4LsFr7jm6mHSo6nZJe+PCIdHj4lGCMerRh3PXz5RHujzLOjZeRmI0Y\nM80nYlwXLAPek1Je6LoIo8aspJX3X7v+vif8fYPHReGpKJ9WtfWnyTu1pTYkuKU1OtJiW7owdkJs\nZJD10Se2P/r2lqyxXsQoyiU15osYMzV6MfAcUGE+HY0xSeq4lPKhkerbcNI0Tbt86S1vrL/szs+O\ndF8URRkeHo+H3KLUjrxT75ekH8mao+t650j3SVHGkvHwV/2twIz+68IIIV7AWHp7XBQxuq7rUeGT\nHoyLmT4vadKihJHuj6IoF85isRAanOiqz7A9qAoYRTl/42Gxu3aMy0j9JQIdl7YrF1dFdWFBxrFd\nT7Z3tFyaFbcURbmoPLqHgxnvvXKy4KMLvqVaUT6NxsNIzEPAh0KIk3x8OSkKYzGjuy+08dFwd1Jv\n2XLv4+GhcRvWLL/tqmHuk6Iol1jmsV05Gcd2fWek+6EoY9WYL2KklNvN1QyTMCb15mOsE5AOfJGP\nV3L8pBJX/fe10i884AKbMbRWN7P30XfPmmIthNgO/LeU8qCZfVIN/ExK+Ziu63pSkgjNPBFZNXf6\n2iGFqGXKLfg4ApmWsLzP8xcryfpg1uvExyQPa9ZSfVMZpRU5zEm6YtjaHKrisgwaWiqZm3TlJT92\nb4dy3mL65NWDLFg4urS01ZFy+HmuWvlNSsqzOHLiXUTiSsSklSPdtVGjrDKvPudkynfbO1qaRrov\nijJWjfkiRgjxK2AhxuqHtwIPSSk/NF+7HyM864L4hQcQEHNJPzi2YaxkedD8+gFwDfCYEMKhaYSd\nLDj068lx837h7xdiPWdrgyy4ddGSrC9CAnBIYAwhgTHD3u5YsnDW2JzTXVp1jAUzr2di5MyR7sqo\n0dbe7Ek7/M7vZMHBD0a6L4oylo35IgYjZXWelNJlrky5VQjRKaUcLIZgLNiGsQrjbzBCy/4C/Mpc\n/nohsLumMfc37+753f1hobFTOjqbmRg1i2SxkeLyLI7l78Ji8cLHHsjKBXeCrlNakUNxeSadXa3M\nFRuZGDlzWJOsT55KJe/UARx2Y9v46LnklxwkvyQdgLlJV9LZ1XZGynZVXSGHj72DxeKFt5eNVQvv\nor2jif0ZL2PRLOjorJz/eZpba8gtTmPlgjt5e+cvCQ9NpKm1GoctgMsX3YXb42b/0Rdp72jC1yeY\nqtoCPnfFD/v0URbuo6QiG5e7C7vNj9WL7qbw9GHKqo7jdjtpbqtl1pS1TI5bTHVdEYdy3sJq9cHL\ny5vQoL7Trlxu54DH25b6FA57AF3OdtYs+RJpGZtpaatD1z3MmHw5CTHzqGs8zUc5b6JhZFMtnXsz\nuu5h3+Fn8fMJoaWtjsSYeTQ0V1DfVEZMxAzmTb+abalPsXTuJopOH6G1vZ6OzhZa2+tZOOt6osMF\npZXHyDq5Bau3A5vVl+DA6D6jR13OdlKOvIDL1YlH95AsNhIVNpV39zxO5IQp1DeVoWkaqxfdg9Xq\n4Mjx96iuLzT6Puly4mOSOVmUQkHpISM4NCiORbNvoLW9gfTMV3F7nHhZrCydu6nnmKWVOZRVnaCu\noRSHzY+wEDUn3aN7+PDA5jcyju/62Uj3RVHGuvFQxPQw4+OvA7YLIYYvK+DSO4oRMgZGpsfDGEFp\nGzBylT4ICAiI63Q2Pe5jnX/nmsX3rHhjx89JFhs5VXaEmVPWEh89h4LSQzhdHaBp+PoEsXTuzVTW\n5nMsf1efv4q7k6wXzvosR0+8T9HpI8RETO9JsvZ4XLy75/FBO9vR2Yws2Mu1q7+Lpmls22+EsWqA\n3erL6sX30NnVxrbUP3L1qu/g5WUl9ciLlFefpLz6JIkx8xCTVlFamUOXs52KmpOEhcQzf/q1VNUV\n0mW+h24t7XVsEA/g6xPE1pQnqW0ooaa+GH/fCaxaeBdNLVX8e0/ftQ91XafL2cb6ZfehaRo7DzxD\nbUMJGkZY5rqlX6G5tYbdB//G5LjFpGe9xqqFdxHoH87RE++f8Z7zTqUNeDxN00iMnU9c1Gxk4T4c\ndn8um38HTlcn7+/9LVFh0ziQ+QrLkm8hJDCG0oocDh97m/kzrqOlrY71y+7D5Xby1o5f8LkrfoiX\nxcqbOx9h3vSre7Kz0DQsFm/WLr2X8uqTHC/YQ1TYNA7lvMVVl30Th92flCMvnBEskZ27nZhwgZi0\nkraORral/pHPrnsYp6uDxNj5LJp9AylHXuB09Qms3nZa2+u4csXXcbudbEl5gqjwJApKPmLxnJuY\nEDyRk6dS8egeDh97BzFpJTER06moyeXIifdIFhsBmBg5i5LwLBJj56sCxnQoc8vhIznbv3QB0QKK\nopjGQxHzCrBbCPGglDJdSpkjhNgEvAlceBrbCJBSeoQQGeYifhVSyi4hxPsY0etzgd8BHi8vr+SC\n0/vqmtpKm9weVyDAwpnXk523E1m4l6CASOKijGDW7pEEhz0At/vMOJMLSbJubq0l0D+yJ18pPGRS\nz2uB/uHmNgOlbNcxe9p6snO3syPtT/g4gggLjmdK3FKO5e9kV/pfsHo7mDf9auj1/3u7zQ9fHyPR\n29cnGLfHRVNrFdHhwjxmBHabX58+apqGZvEi5cjzeHvZaOtowKMbd+V3X6bydQT1nJuOzuaevkeE\nTqam4VSf9s52vEB/Y6pSU0sVUeFGgrjV206QfyTNrbW0dzT1HDM8dBJHTrwLgL/vBKzeDiyaFw67\nPzarz6DnPCQopuf9ezwuOrpasXrbcdj9zT5POiOxvLGlikkTF/a8V6u3gw5zm5DAWPP5YDxuJ43t\n9dQ1lrLdLEg9uofW9nqWzbuV4/m7aWmrIywkEXSdhuZysvN2cCx/F7quY7Gc+b8V9XFtKCrNrjiW\nm/INNQ9GUYbHmL/FWkr5E4yE0ZZez6UAC4B/jEyvhsU24PvAe+b3+zDek2aGe90NNJzMlZ+pra/6\nL5fLuNkptziNuUlXcsWKr6HrOiUV2UM83JlJ1rUNJei6jtvtOmuSdYBfGI0tFbjcTnRdp7ahuNer\nxq+Yv29oT8r2huUPkJSwgrCQeApLDzE5bjEblj9AcEAUecVplFZmEx46mfXL7iM+ei45+bvOOc8m\nKCCKmnqj0GhuraGzq7XP690Tg1cuuJNFs29A1/Ven6xntu3jCKKh2bjZraa+6LyO1x2uGRgQSVVd\nAQBOVwcNzRX4+4bi4wikvqkcgKq6AgL9IvrsNxT9t3XY/HG6Oukw+9Hdtz599o+gqtboT1t7I13O\ndmzdxVe/Qwf6RxA5YSoblj/AuqVfJSF6Lv6+E8grPsCSOZu4YsXXqG86TXV9EUH+kcyfcS0blj/A\n4tk3khCTPOT38WnS1FzTeTDj/UfyT2XsH+m+KMp4MR5GYpBSbh/guRLg28PRfmt187k3Gv62tmOk\nvH4eQErpFELUA0d6vf6CEGIhFk6Bpbiq9lTUhOB42+6Df8Xq7cDby05sxExk0T4G+qD+JEnW9U1l\nFJQc7DPJ1GH3Z/a0DWxLfRKb1bdP4nV37eGw+w+Ysu12uziQ8Qre3jY0TWPJnE3ous7+jJfIzt0O\n6CyYeb1xWczs70D9nhq3hP0ZL7Mt9Sn8fELwsvSd7xzgF463l42tqX/EYfMjNGgibZ1NffpoPDa+\nWZZ8M2kZm7F62435JQGRZz+e15nzq6fFL+NA5itsTf0jbreTOUlX4rD7s3TuzXyU/QY6OhbNi2XJ\nt3x84vv1Y/CfU9/nNE1j8ewb2X3gL1itDnRdJ8AvvM82s6auJy1jM8XlmbjdTpbO3YRFs3BG0rKm\nMTFyFpW1+WxN/SMuVxdx0XOwetsJDohiW+of8fa24+sTRFhIAn4+waRnvY7b7cTtcbJo1g0DvJ8B\n3sKnSEdnq2fn/hf+knXiwydHui+KMp6M+diBi220rRNzNovmbnz6ysvvuc9h973gj4zBkqxtNl+y\nc3cYl3hGker6IlyuLqLDk2hqqWZ3+l+5ft1/jZvjDUVO3k6mT74cL4s3KUdeICZc9Fw+UkZOl7OT\nLXv++uxHmR98Uc2DUZThpYqYcUTTNMvi5Kv/fuXl99xlszouqC1d10nL3ExjUwVoEBc1l1lT1+J0\ndoAGVu8La3+4tXc2k3L4OTweNx7dTbLY2DNnZTwcbyhkUQr5xel4e1nx8w1lefKtfUbFlEvP7Xax\nde8/3kw7/PbNuq67Rro/ijLeqCJmnNE0zWvJvGufu/Lye26zeo/Jec2KMi54dA87U57fsjf9lRt0\nXR9XESiKMlqMizkxysd0XXdrmvYFi8XLdsWqL37Oe4C5GoqiXFy6rrMv/dW9BzPev1kVMIpy8agi\nZhzSdd2ladrtXhavV9evvOszXuqSgqJcUulH3z14KGvrTe0dzcN3V4CiKGdQRcw4pet6l6Zpt1gs\n3m+uW3HHVWpuhKJcfLquk3703YOHs7fdWt9YWT3S/VGU8U4VMecwlu5O6k/X9Q5N024CXl+z/LYr\n1aUlRbl4PB43H6a/svtozo6b6xoqaka6P4ryaaAm9p6DpmlJjy+7TEb7+g5Le+VtbTyUliJ0XT9b\nivUa4D4p5e29nvslRsjlbuAlKeXyXq/dD0SaC//1bmcl8Ftd1x2+9si6a1Z/fZXD7jeqV+zYf/Ql\nEmLmExNx4Xf65OTtJCpsKg3NlTS1VDN/xjV9Xq+qK+RQzlt4PG7mTb+a2HEaUOh2uziQ+QrL5912\n5powF/GYhacPMTV+6SU5HsC+w8+xYt7tHMh8hYSY+YQGxZCVu53Fs2+86Md2urrYmfLc26mH3rxd\n1/W2i35ARVEANRIzJNG+vsT7B1zKQw5UWeqDPD/Y9gDfAH6kaVprW2flQx/s+etv1yy7/evBgeH2\nYenlRTJcn7Ozpq4DoLG5csDXTxalMDfpKry9bRwv2DNui5gThR+SEJN8yQoYgPbOJvKL0y9pEbNy\nwZ09jzXNiNiwetuprM0fNLh0OLR3tHh2pDz7/MGM97+kbqNWlEtLFTGj02BLtA72KTTY8y8DPwdq\nNE375eGsbTuTZ6wpu2zR574fFTEpBODdPY8T4BdGW3sDwYExLJ27Caerg7SMzXQ5jT8oF826geDA\naN7Y8XOC/CMJ8o8kPHTSGWnZTlfHkFOSvbxtpGe+SltHI+0dTT0p3HBmzs7+oy9hsXjR2l6P2+0i\nIXYepyuP0drewOpF9+DvG8KBAdrqHtUZTEJ0MhnyA+w2P2ZNXTvgNm/tfJTw0ESaW2qIDJuK09VB\nbUMxgX4RrJh/+4AJznabH3sPP4vT2YHb7SR5+tVEhyex/+hLNLfV4nY7mT5pFZMmLqS4LKMnSBFg\n9aK7sVl9OZj9OnWNpfjYA2lpq2P14nvQNMuQj9VN13UKTx/mmssfBKCyNp8M+QEaGgF+YSyZcxO5\nxWlU1xWxcsHnST36ImEhCUyZuJj9GS/T2l6Px+Nm8ewbCQ2aSHrWazS31qCj96Sab0l5gkC/cJpb\na7Db/LlswefJzt1BY0slWbnbmTNtQ09/6pvKOZTzJgA2qy/Lk2/F2m9No3/veYzI0MnUN5cT5B+B\nwx5AVW2BEXq55Mt0dDaTnv06breL9s4mksVG4qJm8+aOR/jMmu/1+R1KjJlP5smtF62IaWqp7dyV\n+sLTh7O3PagWslOUS08VMaPXOiHErl7fTwb+x3w8s99rMcDzvXcWQvhgBEa2AU5gjxBitpTy8ZlJ\nK0qXzrv28Ulxc2Nb2+tZt/Qr+DgC2XvoX5RWZFPTcIqo8GkkJaygqaWatMzNXLni67S3N3LNqgex\n23zZe+hfZ6Rln09KclhwPGEhCUyNX4rb7aQ7hXswfr6hLJ17M+lZr9HaVs/aJfeSKbdwuvIYE6Nm\nnVdbAC63k9KqY3h7WbFYLERMmEJDUznBgdF9tmttr+cK8QAOewCvbP0hG1d+myD/G3lr5y/ocrYP\nmOA8e+o6OrvaWLf0Xjo6W2hqrcbp6qSqrpCNK78FQHm1cTWxqa2GNUvuxdvLyoHMVymrlnh72ehy\ntrNx5bfp6GrlnV2/BBjysXprbq3B5u3AolnQdZ0Dma9y5WXfwGHzI0N+QEHpR4jEy6iozmX/0ZfQ\nPR6SElZwvOBD/H1DWbngTppbazhdeZy6ptPYbX4sS76Fzq5Wtu1/iutW/z86OltYMmcTIYHRHD72\nDrmn9jN72noamyv6FDBAz2WtIP8I8ooPkJO/64zVn12uThInLmBxSCLv7P5fFs68nmSxkW2pT9HY\nUklnVyszJq8mcsIUquuLyJRbiYuaPeDPOTAgkuq6wrP+LnxSNXWlLR8eeOWXR4/tfOSiHEBRlHNS\nRczotbPfnJhH+XjE5ZiUcm2v1+4Dovrt/xBQKqX8khDin8BWoAu4+tjJ1JenJs4/3drW+EyQf+R0\nH0cgAOEhiTS1VtPQXEFlTT7FZRkAPSMydpsfdpsxN2igtOzzSUm223ypbSihsjYfq7cdt+fso/Ch\ngUaKttXbh6AAIzDRZvXF7Tn/tgCOF+zB1xHE8uRbST36IjvT/g+LxYt1S7/SZzsjMTsYAG8vG0Fm\nQrXV24Hb4xowwTkoIIppCcvYd/h5dN2NSFyJ1dvOwlmf5UDmKzhdnSTGLgCM4Mb9R1/E29tOU0sV\n4SEJNLVXERacYL7u1xMQ2dhcMaRj9dbZ1YrDHmA+bqG9s4l9h/4FGIVc96jNrKlr2ZLyJFev+g4A\nza3VxIRPB4yAz+mTV5Ge9RrVdUU9AZ+6rhvt2/wJMYu/8NBJlFfLQc97U0sVB7NeA4yJsAF+Ycii\nFErKMwFYMf+OPj9vm7cPQWZulc3qi9vtxGEPIDt3B/nF6aCBbqaRD8SiWdAuwp15+aeOlhzK2vKD\nbLnvX8PeuKIoQ6aKmPFhoMtJtl7P/xA4ATzd/WJe0ZF9E6PFZ/yDvI61tjdZ/XwCqa4vYvLERXR0\ntTAhNo7E2Pm0tTdSVGZmTvaaU9Gdlu2w+3Mg81VKKrJ7UpJDAmPOmZJcUPIRNqsPS+duorm1hrzi\nA0N/t/1G7T9JW55ehc7cpKv49+7/ZVrCiqH3wRTkH8mMKasJD0mkoamcmoZiGprKcbo6Wbvky7R3\nNLE19UlCgyZS11jK5Yvu7hktio+aQ+bJrdy4/gfo6OxM+z90IDggisLTh4FVdHa19YyuBPpHDOlY\nvef2OOz+dDnbAbMgcwSxevE9WL0dlFRkY7P64Pa4OJTzNkvnbuJg1utcseJrBPpHUNtYwsSoWTS3\n1pJ5cgthwfH4+gQze+p6nM4OjhfswWb1pbOrlZa2Ovx9Q6muKyQ4IApNs6DjOeN8BfqHs2Le7fj6\nBFNZm09XVxtx0XMQiZf13fAs03cy5Ramxi8lJmI6+SXpFJR8NOi2uq5j0SxD/nmei0f3cDDj/YM5\nct9Xi0qzjw5bw4qifCKqiBmC8rbhu9lgiG0NNolX7/f1bNs/DvxdCLEH4+d8K/CQeUkpG6C0XOYl\nJSVVvb3zl13+fiEJsRHTLbGRMwkLSSQtYzN5xWk4XR3MSboK6JumPCE4nv5p2bERM4eckhwVNpWU\nIy9Q11iKn0+IkSrd0dj98hn6PNf3m7O2NeAuwIzJq0kzU6g9uoeVC77A8YI9Z1xS6v2e+6dJa8CC\nmdedkeAc4BdOVu42issy0NGZm7QRH0cgHZ3NbEl5Ek3TmDllDVarg/CQRLakPIHD7k+gfzjtnU1M\niVtMWdUJtqQ8iY89AG8vK14W7yEfq7cAvzA6ulrQdQ+aZmHRrBvYlf5XdF3H5u1g+bzbOHr8PWIj\nZzI1filtHY0cPfEeyeLqnvOjo7No1mcJCojiQOYrbEt9Cqerk6TEFWiahmaxcPTEe7S1N+DvO4F5\n069B1z14PG6OHH+vz11hS+bcROrRF3vmAC1PvnWAn/XZJiBrxEfP5fDxdzhRuJewkISeIq1P8rf5\nsKG5nLCQxLO0N3Rt7c2eDw9sfuNIzo571CJ2ijI6qFusz2EsrxMzFEKILCnlnBnTlt8+b+a6n86Y\numzqSPfp066ppYq6pjISY+bR2dXKv/c8xo3rf/CJwxxz8nYS6B8x6LyRC/XvPY9x3ervXpS26HlI\n2AAAF6lJREFUL9ThY/8mLmo24aGJF9ROafnJmgNH3vld5ok9v1ATeBVl9FAjMedgFhuDrukyDugA\nx3P3vxgdMTmtorrwz5ct+twVNuuovgt7XPP1CebI8XeRBXvRdQ/zZ1x3QWnU0yetIi1jMxMjZ12U\n26z7j1CNFu2dzbjcnRdUwHh0D0eyt2XknEz9Tl7R4d3D1jlFUYaFGolR+tA0zXvB7CseXb7ws1+N\nmBAfONL9UZSR0thc3Zl2+J23sk58eH9TS239SPdHUZQzqSJGGZCYsuSGWUmX/XzujDWzhnNipKKM\ndrquk3XiwxPHclMfPZabqu4+UpRRTBUxyqAcdr+gebPW/3ZJ8jW3hIXG+o10fxTlYqtrKG9LP/re\nq1nyw/9obqmrG+n+KIpydqqIUc4pafLiz0yfsuTH82dtWODlpaZRKeOPx+PmaM7OzOP5aT+T+emv\njnR/FEUZGlXEnMN4vztpqDRN810456pHFszecOfEaBE20v1RlOFSVVvcfPDoey+lZ7z3oK7rLSPd\nH0VRhk4VMeegaVrSFz73YxkcFDks7TU0VvLs6z8eSor1ZiAH4+6hQKAA+LyU0jnIPrsxkq8HXy71\nzH1eBO4arM2BxMfMWDht0sJHFidfvcHXJ7DnlpnK2nxsVl9CAqN5bdtPuOmKH/XZr6DkIDabLxMj\nZw3Y7kDp1d0p1BOC44faPUUZss6uNg5nb0/LLzrys5OFH7030v1RFOX8qWsDQxAcFElYSOylPKQO\nbJdS3tH9hBDieeB64LWz7HNeFWnvWIOhKi47fkjTtKsrqgu/LiYveWDO9Mtnenl5U1BykISY+T3L\nz/c3OW7xOdvuf/dvdwq1ogwnt8dNttx7Quan/zXn5L7fqeRpRRm7VBEzOvVJrBZC2IBooM78/lFg\nJeAF/EZK+WqvbScCTwEOc58fALuA/Rir9nqAF839swAB/BnowLhsFg3cLaU8IoT4MvB187hdwMtS\nyn+ai309qWna3wpLMn8wMWbqXWXVMra+qYyggEg8Hhcph5+ntaMBu9WXVQvvIjt3Oz6OQAL9I8jJ\n24mXxZuWtjoSYuYxe9p6wEgTqKk/xUc5b7Fq4V1kyg9IiJlPe2cTZVXHcbudNLfVMmvKWibHLaam\nvpiPst/A29uOw+6Pl8Wb5fNuuxg/D2Uc0HWdguKjp3NOprx8KGvrj9S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6k9QVOQzV9dLxyoFJj4uvbYjBul7K714JUZ22v+zHU3pwe9Mzuym/cwUWt432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9AxAel32O0TkGS/5V9sPMlQB+Y3SOkXJMjbssOCHMz+gcwtxqDpS3xCaulxUh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\nOnSzFNOJznTMSQXwITNfAQD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L6RqLK26mc4SBRILyzPE5bg8vZ16rbBpJxLm7dUPwg/0KPf7Lj6jY8tlD5UF1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\nSj1BemzjZZljW0sKzUyL5SPAS6THrcc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BbqxYucX37znzS1NTmhoyM4Ijpx6dm5SZHm+d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\nfT4fG7d91FTf+GlFRlqbd2huZOyxR/fPuSlr65v9/3f3nMs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6h5jYqjZWNGZPv1hmFYep3DmfWZOSv+hmo3OIU2e2GRGtRHQztNnF1wOoIqII\nAJcDaDM02Tiwuxwx8+888war3Ww/NjGetAlPdsWSbLa/oScPu9NjScyedauiKH9WVTVodB5x8sz2\nW3gbgFuhrfh0I4C7AeQCWAvgs8bFGh9Zy6d8P3ORLP4vTqx2R2VbRu6lyUbnEKcmY/qqpSkFi281\nOoc4NabqEjFzGYDhFsi/8nRnGW+uxOiU+betuEomO4mRtJR2dRYUZcYanUOcGntklJKUM/tWRVH+\nqKpqwOg84uSYqsgSUSyAewC0QLtk/DSAWdBmGt/GzGG7IEX6/JzvpM7JNsW4sgidnuYuv9VXIBOe\nTCJj2pmLmo7svhPAb4zOIk6O2bpFj0P7muYA+FD/OBXa4hS/MzDXKYlw2uNTZmXJyk5iRJUbKxqy\np10kE55MIsLhVhJzZt+sKIqpOkSTidmKbB4zrwNwCwAHM/+embuZ+U8I49nFWcunrEufl5NtdA4x\nsanBIHprHBaLDCmYSua0MxekFS67y+gc4uSY7bfRR0TTmdkH7T5ZAAARzQMQlmMaiqLYEgpTzlcs\n0osVJ1az7UhrZt7lKUbnEOPLZnciPrP4MqNziJNjtiL7VQD/IiIrM+8GACK6FMC/AXzF0GQnKWVW\n5tUZC/KKjc4hJr4W7ulyx6XLX2MmlJQzZ1Fs6pQlRucQY2eq6/zM/D6AwiEPrweQw8xh2ZNNmpZ2\nmT3KIS+c4oS6mzp9dj/JhCeTiorPiEzInHkjgI+MziLGxmw92WMwc1+4FliHx5kcX5Cy0ugcYuKr\n+qCyIXPqBTLhycQ8SbmrFEWJMDqHGBtT9WSJ6CYAKoDhen4qM//lNEc6Jenzcu5KnpGRZHQOMbEF\nA0H01jisllTT/808qaUULJqWlDvvephkHfbJwmy/lasBPAJg1TBvZxkT6eQoiqLE5SedLROexEhq\nt1e0ZuZfIROeTC7C4UJ8xvSLjM4hxsZUPVlmvomI4gFsYObHjM5zKjxZ8YtSZmUtMDqHmPha9vV2\nTaHUOKNziNCLTS1cYXd6Uvp7O+qNziJGx2w9WQC4E0DYv+AkTEn+j+i0GLvROcTE1tXQ0W8PTpMl\nFCeJxKwZSYlZM8J+HfbJxFQ9WQDQl078X6NznKrojLjZRmcQE1/Vh5WNWfS1DKNziNNDsVgRnZgz\n0+gcYvRMV2SJ6FwArQB2ArgPn6xd/PNwmWWsKIpj6dfWyC+SOKFgIAhvrdNmSTPjBSlxPJFRCTOM\nziBGz1ToaZldAAAf00lEQVS/nUT0UwA/APAnAC8CyALwWwDTAPzSwGhjEl+Ycl7S9PRco3OIia1m\na0VL1pS1MuFpkvEk5ZHDFZNrdA4xOqYqsgAuBLAS2mzixQBuZuaXoK1lHDb3myYUppzpiI40OoaY\n4Fr3e7tdHrnDa7KJSc5zx2cWX250DjE6ZiuyABDJzM0A7hl0ediDMLo07k6OlvFYcUJd9e39kZge\n9hP8xNgpFis8iTmzjM4hRsdsRfZXAHbqaxc/CgBEtBzAxwAeMjTZKCmKYo30OAuMziEmtqoPqxrT\nC8+NMjqHMIaMy4YPUxVZZn4EwJohE5wqAFzEzL83KNaYWGyWrOiMuDSjc4iJK+gPwFvnssmWdpOX\nKya1QFGUeKNziJGFzSXU0WLmQ0M+rgJQZVCcMUsoTFkenRbjMDqHmLiqt1S0ZBdeJROeJjF3XFqs\nOy59KoAPjM4iTsxURZaITrixOTMfOV1ZTlZUaky+1W6qH4sYZ61l3u7EqYnSi5nEIt1xcMWkzoEU\n2QnPbK/mLwOYAqD2OJ/PO41ZTooz3p1pdAYxcXXWtfU7lVky4WmSUyxWOKMT5GpGGDBbkV0GYAOA\nLzLzBqPDnAx7dGS60RnExFX9YXVjDl0jKzwJ2F2xyUZnECMz1cwJZu4AcDuAm4zOcrIinHYpsmJY\nQX8A3nq37CcqAAARDrcU2TBgtp4smHkTgE1G5zhZFptFNt4Ww6reXNGcU3SNvLAKAIDN7pT/C2HA\nVD1ZACAiNxHZ9ffPJaJvENFio3ONhqIoFovN4jI6h5iY2sr6eiKjZL6T0FhtjkSjM4iRmarIEtG1\n0O6LPUREPwDwIIAUAL8notsNDTc6URFuh6ynKI7RUd3W57TNlgorjlIsFtkKMwyYqsgCWAeAoK1h\n/B0AZzLzNwGcAeAuI4ONksvmiJB7ZMUxajZXN2UUrnYbnUNMHIqimG64z4zMVmQtzNzMzB8D+Csz\nt+iPdwGwGphrtCIsNks45BSnkbbCk0x4EkMpVkVRFKNTiBMz219CHxDRkwBuYObbAICIpgD4KbQ9\nZSe6CIvVYrafiThFfZ1eNeg7ZOfXv9oa7OyzWH1BJSII2FVFcVusSI10qUlOZ9ATYffLa+4k0tps\n2651HvxGRxHHZ7YX9C8CuH7I2sUeAK8D+J0xkYQ4Nc44tzLv7rNih/tcf08/miqaUHWwpUet6wy4\nfWqfux9+lx/BqIBicakWqwsWR0KE3Z7ucruTnS6ry2a2X/vJyWlRql44VC4FdoIz1W8bM/uJ6Aki\nWgEgE0AAQA2APzJz0Nh0o9Li7ejtjAFkRR8xKnaXHUnT0oFp6S4AR2emBwF06G8AsKelG50VTQFv\neV2ntbWvz+1T+9w+BNx+qO6gRXGrSoQLVkeKw+lId7vcCY5I2K0ycjGRqVClwIYBUxVZIloG4HFo\nM4wHllZMA1BERLcw8xuGhRud9v4ObxekyIpx5op3wxXvtmJuTjSA6IHHfQDa9LdgMIjt9R3oPNTk\n8x+u6ono8nnd/arP7UfA7VfgDlosLlgiohSrI93pdqW6nI44RySsconaEKoKn9EZxMhMVWQBPArg\nM8xcNvhBfVz2eQATeg9GVVXVxXed3THykUKMP4vFgui0WESnxUZgGWIAxAx8zqu/NQMI+v34oLIV\n3QebvIHKWq/TG+x1+9SAy4+A229BlGqxuaBEeKwRjkyX25XsdEZ4IuyQ8eLx5QsGT+q1gohWAXga\nwN5BDzcy81UnOOcOAH8EUAzgYmb+4ck896kgoisBFDPz/Sc4Zjczzxzy2HkAsgf2GB/mnPsA1DLz\n7wY9dhOAFmZ+4VRzm63IWoYWWN3B057kJAV9ASmyYkKz2GyIy0tCXF5SJIBIAEfHi3v0NwDo7/Li\nzcoWeA82d6Ouq8/ZH+xz9yu+KD9UV1BR3J+MFzsyXG5XkowXj0lfINB6kqeqAN5g5uvGcM46AI8z\n804AO0/yeQ3BzK+OcIg6zDmPj9fzm+1/9EtE9CKAJ/Hpy8XXA1hvWKoxCPgDnUZnEGI82KMiB8aL\n3QCO3uMbANCpvwHaeHF7RWOgv7yuw9bq7Xf1q31uvxJw+xF0BRWrO2ixuRWLI8XhkvHiQbwnX2QV\n/e0YRHQmgO9Du70zCsB1AFYCSAXwJBE9BODzzHwtEZVB25CFANQDuAKAA8BfoL3uVgJYycwZQ57j\nLgCXQfs/0aS/fz2AzwBwAigA8BNmflwfAvwltBENL4BtQ9pyAXgCQCKAcui3ahLRO3qmeGj1oBDA\nbwE8BeCI/hybmfmLg9qaAuBvAG7Tv5ZaAPsAfBtAH4B8AE8x83/rx/4ZQD+04clcZj5ruO+pqYos\nM/+nfknhQmg/ZAVANbSJT88aGm6UAv3SkxWTyyfjxbmfWrfbB6BdfxsYL+441OgLHDo6Xux3+5SA\nOwDVHbRYXKpij7LYHBkud2SK0xlp9vHiTl9/0ymcvpqI3h708YvM/HMA06HdAllLROsArNWLyncB\nXANtp7MBeQBWMXM1EW0AsBDAEgDlzLyWiAifviQNIlKgFb5zmFklolf081QAHmY+Xy9gL0CbX/MI\ngCuZuYyIfjTM1/F5AHuZ+Xv6872kP64C+Dsz/0u/9DugEMA5AHoBHCSige0CpwK4BcB1zFxORJcP\nOicbwExoV21qAPw3gJ8BeICZXyGi2wDkDv9tNlmRBQC9mB4tqES0ipnfMS7R2PR3eRuMziDERDPa\n8WJ/vx8fVLWi61BTr1pZ643sDfa5/arf5Ucgym/RL1ErNo81IjLT5XanOF226IiIsBwvbvZ6607h\n9LeY+dphHq8B8DARdQHIgNZTPZ4mZq7W36+EVoSmAngFAJiZiahx8Al6YfVB6xV3QbsLZGChlY/1\nf6v0tgAgddAQ4HvQivhgBG0f8eGej4fJfICZuwGAiGoHPc/50P6uG+4ulN363Sk9RNSrPzYVwAf6\n+xug9cSHZaoiq1/qGHx9XYG2bvFtAMDM7xkSbAw6a9sPqaoalr/0QhjNZrchLj8JcflJTmiXHo/q\n1t8Abbz4jSPNat/Blm61vsvr6gv2u33wR/mVoDuoKC5VsblgsSdGRDrSXS53ktNlmUjjxb5gEHW9\nPZUhaPr3APKZuZuI/oxPVgUM4thV844ZywSwB8BSAP8iogJol3GPIqJZAC5h5iX6pd6t+OTS9XDt\nVRNRMTPv1dsdekwJgOXHeb6Bgjn4xXS45wCAX0Cbu/O4PjFssON9ncug/UExtPB/ysT5XzM+/ght\nEsauQY+lARiYjTbsNfOJpO1w07vdjZ2BqGSPDDoJESL2qEgkT89QMD3jmPHiofcXtx9qDPgO1XZY\nW/r6XUfvL1ZUl6pY3EGLzaVYHGmRrsh0l9sV73CclvHiyq6u/sOdnSe7paeKYy8Xq9DGRJ8A8D4R\n1UAbj0zTP/8+tB7j/fik6AwtPiqAxwD8mYjehTZW6R1yTBmAbiJ6D9p47HYA6YPOx5D3bwPwmN7r\nbcaQy8/Qxln/qF+uPgygBcdSj5P5U/mZ+Q19uPFbQz4/3Dnf0p/3P6GNaBz3dipFVY9X2MMPEUUD\n+BW035H/ZOY+ItrBzHMNjjZqiqJELP3aueWZiwuyjM4ihBhZMBhEV207OiuafL6DrT2R3f4+V7/q\nc/uVgCsANSqoWF2qJSLaYrOnu9zO8RgvfrXqyP4fbt86TVXVCbXIDhEtBRDFzK8TUSGAl5m50Ohc\n442IrgOwSR+/vQ3AkoGlfIcyVU+WmTsB3EREVwN4m4i+ZHSmsVJV1Tf/tpWHAEiRFSIMWCwWeDLi\n4MmIGxgvPqpPfxsYL95Q1YKe8ubeQFWt1+kN9rl9qs/lV4JRAUVxqYrVrVoiYmx2R4bLdcLx4vb+\n/gMTrcDqDkIbb/0BtLHWsHsNHqVKAE8RUQ+0taNvPd6BpurJDkZE2dAuXRAzZxudZyyK1y78U/GV\nCz5ndA4hxOnX3+VF25Fm1XuguRsNXdotTfp4sXZ/sWLb1dT85jsVR240OqsYmal6sgOIyArt/qUb\nASQZHGfMuus7ymXykxCT06Dx4qjBjw/cX9zq9aHkZ+tHWmBBTBCm2k+WiFKI6Clog99bAGyGNoj/\ngt6zDQst5Q3/bD/S0jvykUKIyaaxtLa+cW/Nv43OIUbHVEUW2nqcLwJIYOYsZs4CkABtlY+/GZps\nDDqqW/c2l9XvGvlIIcRk093YsVdVVVkZLkyYrcgmMfMTzHx0Cyhm9jPz3xBmO9t01bZvNjqDEGLi\n6ahs3WF0BjF6ZhuTPURE34TWax28dvGN0Na1DBtNXPtyb2v3l5xxbrP9ISSEOEltFc09DSU1fzE6\nhxg9s72AXw9tncn3oW0G0qu/nwHgc8bFGruWAw2v1++q2md0DiHExNFYWrO1o6pFhpLCiKl6sszc\nBuAuo3OMB1VVA8VrF26BtmC3EGKSU1UVbYea3jc6hxgbUxVZIooFcA+02cVPQZsINQtab/Y2Zq4x\nMN6YNe+ve72/q+9Ge5RD7uURYpJrLqtvbyyteczoHGJszHa5+HFoX9McAB/qH6cCeAbA705w3oRU\nv6vqqerNB+XSkBACLWX1m7rqOw4ZnUOMjdmKbB4zr4O2L6CDmX/PzN3M/CdoWyqFFVVVAy3lDa+b\ndVUuIcToBP0BtJQ3vmN0DjF2ZiuyPiKazsw+aBvzAgCIaB60BVPCTt3OyocbS2oaRz5SCGFWVZsP\nlVV+cOBho3OIsTNbkf0qtH0Frcy8GwCI6FIA/wbwFUOTnaTuxs7Khj3VrxudQwhhDDWoomFv9b9U\nVe0e+Wgx0Zh2g4ABROQA4GfmsOzJAkBCYcrKRV9cvT46PdZldBYhxOlVs72icutv35nnbe9pMjqL\nGDuz9WSPwcx94VxgAaC5rP696i2HZOq+EJOMqqqo31X1khTY8GW2W3hugrZz/XC3vKjMHLYrpTTs\nqf5/mYvzV0alxjiNziKEOD0aS2sb63dV/tToHOLkma0nuxrAIwBWDfN2ljGRxkfdrsqXKt7fv97o\nHEKI06d+Z+X6jupWuW0njJmqJ8vMNxFRPIANzGy6m7brd1U9kDone1VCYUq80VmEEKHVWFJTV7+7\n6idG5xCnxmw9WQC4E2G2485oNe2v21H5wYF/mn2ymhCTXdAfQMX7+//eUt5QYnQWcWpMP7vYbKJT\nY9LmfG75prS5OVlGZxFChMbBt0p3bvv9u0tVVe01Oos4Naa6XAwARHQ+gLXQVngKAqgB8DIz/8PQ\nYOOks669Nn/1tL+nzMz8lsVmNTqOEGKc9bZ299duq3hQCqw5mKonS0Q/BLAQwBMA6vSH0wBcC6CU\nmb9hVLbxpCiKa96tK94rOLd4vtFZhBDja+8zW14o+ce2S1QzvThPYmbryV4NYNrQ+2KJ6O8A9gIw\nRZFVVbUnbW72dxKKUp+OzUmIMTqPEGJ8NO2rbazbVfVdKbDmYbaJT70YfiOAXADe0xsltGp3HHnt\nwKt7Hg/4wnqdDSGELtDvx+F3+fHm/XWy85aJmK0n+w0A7xHRfnxyuTgVAAH4nFGhQuXQW6Xf9GTG\nLSz6zKylRmcRQpya/S/veufQ2/u+Y3QOMb5M1ZNl5jcAfAvaJu0M4GUAPwRQBKDQwGghoapqX+32\ninuaD9TLkmtChLH63VVVNVsOf1lVVZ/RWcT4MlWRJaKfALgNQBKAuwHYmPk9ZvYC+Lyh4UKkfnfV\nxvLX9j7q98rvphDhqLe123fo7dKfNR+o32N0FjH+TFVkAVwI4Hxm/jKA5QD+i4iuMjhTyFW8t//7\n+/79sWzuLkSYCQaC2Pf8jqePbJS9Ys3KbEX2KGYuA/AfAB4iolUGxwkpVVX9VR+Vf/bwOywTJoQI\nI+Wv7dl04NU9dxidQ4SO2YrsMwDeIaJFAMDMewFcqT+eb2SwUOuobq2v2LD/jvo91VVGZxFCjKzu\n4yMV1VsOf1FV1R6js4jQMVWRZeb7AdwHoGvQYxsBzAPwZ2NSnT4Ne6o3lb++d11HdWun0VmEEMfX\nUt7QVP763q807K3ebnQWEVqmWvFJaHLPpAfm3Lh8nT3KYao/ooQwg6669u49T2++58jGA48YnUWE\nnrwIm1DFe/u/t/fZLU8HA0GjowghBunr6PWXPLftl1JgJw+zLUYhAKiqqiqKckuEy5FUfOWCsxWL\nYnQkISa9QL8fe/5vy18q3tv/PaOziNNHiqxJqaraa4+KvMwaYX1p6qVzVyiKFFohjKIGg9jz9JYX\nD75ZcqesSzy5SJE1sf4ub2dUiudya4T1hcILZy2RQivE6acGg9j77La39r+481pVVf1G5xGnlxRZ\nk+uq72iKTo25HBbl+cILZi6SQivE6RP0B7D3ma2v7PvXjivkVp3J6YQTn4hoFRE9OeSx/yGim8by\nJESUS0Qf6u+vJKKZ+vt1Jz5zVG0fk3HI5x1EdOsY2vsVEZ15Cnnq9H8XE1EZEf3oZNsaL5117bXl\nr++9pGz97k1ypUqI0yPgC2D3k5tf2PevHZdJgZ28RppdPNwr8qm+St8CIH2c2hpNG2nQ1jMer/ZG\ne/55AB5i5ntPsb1x0VnTVlf++t5L97+06yMptEKEVqDfj11/++i5/S/tvFJVVVNtsynGZqTLxcNd\nWzz6GBH9GMAZAKwAHmTmZ/Ve4PehFfAoANcB8OnHzwNwPoA5RFQCwEFEfwOQDaAZwJXM7B/Ufi6A\nFwA0QdtR5xUAD+kZmqEV7MF57gJwGQC3fs5lAO4FMJ2IvgvgYQB/BBCvn3I3M+8hos8DuANAg37u\ns4O/YCK6HMA39a+jBsA1ADwAHhvaln78Qj1bHxFVMfPzg9r6LoBLoH3vH2Hm3+vfx/kAEgDsZOZb\niOg+AMv0PLcCOBfAtdCK+FPM/P+G+dmcUGdNW50z3v0ZX3ffU9OvmL/GYrOOtQkhxAj8Xh92/f2j\nJ8tf23ujjMGK0dwnu5qI3h54g/ZCDyK6AEAuM68AsBrAvUQUA2A6gBuY+SwAzwFYC713x8zbAawH\n8E1mroRWhNfpbcQAmDvM86cAOJeZfwbgUQBf1Nt+GVrhU/U8CrSCdw4zL4FWxBYCeABACTM/AK3g\nvsHMqwHcCeARIkoC8FUAiwF8Rm9vaFfvGgA/1XO+CK3AfmdoWwMHM/MWAH8C8PMhBXYutD8yFulv\nhUTkAdDCzGv0vEuIKF3PsJeZl0P7OV0FbdODlQAuJaKi4/y8Tqi3pbu19J/bL/r4Lx/8vb+7T26k\nFWIc9XV5Azuf+PDx8tf2flYKrABGN/HpLWa+duADvdcFADMAzNcL70BbudB6eg8TUReADAAbTtB2\nCzMf0d+vA+AiokcBTIHWq/wmgEODerdToRVGAIgAsH+gIWZWicgH4En9uTP1TIN74zMBnEVEV+sf\nx+nPVcrMA73tjTi2B/91AOuI6G4ApQCeP05bQw1tpwjAZmZWofWK7yGiCADJRPR3aMtBRulfGwZ9\nfTMA5AB4S/84Vs999OsfC1VV+xVFuSHQ56+ZfsX8u9zJnsiTaUcI8YmOqtbOff/e8VDFe/u/L7fp\niAGnMrt4H4C3mflOIrJB69mVA3gNQD4zdxPRn3FsbzkI7fIyMMz4JzPfPvC+frl4cG+LAXyWmauI\naCW0y6sDx84EcAkzLyEiF4Ct0IpccFCGUgBbmflJIsqAdim7DEAxETkBeKH1MNcPiXUHgPuYuZGI\nfgvtMvTQtq4dcs5wl9r3AfiC3uu2QbsU/hsAWcx8jd6rvmzQucFB5+1l5gv0r/XrAE5pxx39ReCe\n7OWFlXTR7B/E5SXFj3iSEGJY9burKsvfKPlO1UflTxidRUwso5n4NOzkJ2Z+AUAXEb0HYDOAIDN3\nAXgCwPtE9CK0cdG0QW0BwCYAPyaiqcO0PdJEqy8A+CsRvQ/ghwB2DzrmAIBuPc8TALZDm2BVD8Cu\n98B/BOAqvff9b2g92CZol5Q3QPsDYbjdzzcDeJGI3oB2+fqFYdraNyTvMd87Zt4JbVx5I4D3Afxd\n/37kE9Fb0MabN2HIxDBm3gXgTSLaQERboe0oVDNMzjE7srHs4ZLntt1Rv6vyyMhHCyEGU1UVh94q\n3Vn6/Pa1UmDFcGSDAAEASJmZuShjYd6vC86dvkCxyJLWQowk0O9H6fM7Xq/6qPyzHdWt9UbnEROT\nFFlxlKIoUVPOn/nbqZfMvcoZ54oY+QwhJqfe1h5fybNb/3rwzZIvqKrab3QeMXFJkRXHyF5eeHf+\nOdO/nTw9PW3ko4WYXOp3V1Uderv0Z0c2HnjY6Cxi4pMiK4aVXJyxMGNR3q+mrCleJJePhdBWcCpb\nv3tD7bbDdzXuq91pdB4RHqTIiuNSFMU95bwZj0y9ZO7Vzni33eg8Qhilvaql88D63X89+Gbp11VV\n7TM6jwgfUmTFiLKWTrkja0n+f2Yszi+UDQbEZKIGVRx+d9/uqs2H7q3dXvGC0XlE+JEiK0bFnRSd\nnLk4/xcF5824LCrZ4zQ6jxCh1tXQ4S1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SGWzsBdOke0srNo+DoqtnkXl6AbHwoQl32vwQhVfOZM8TW4mNRI96PE92gP66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\nFuU8/Bk9hDhGmaaJvGU7Nxeuybm9fGvRN4d+hRBCBJ8k3EL0c4ZhGFl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ZS4zOIY7cMUmpce3P75DFR+FRRtHSqdnTTr7X6BxHy1PBPhNAH4B6ACvdt90M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\nABuIaC4AMPNO6M2gngOQ54d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+XAsglIgSAKQAeMksLiEA3oVRCG8monMBtOGb7/9DP7V8Pvi4Q+6rG+FYSczM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\nuAvAicx8HIA0IjoZgAZQz8w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1a159s6H+0jWd4Q3j7Y9Csa+jxKxCoRgRTdO044pLbvx65aTrpmZm5ezofpt6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\nKEfqnortPS5fCwBRURb4vCclfL9mV0NfznH3ZbkZptWvh3SgLV37/a6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3PCK6DvoazADwAIC/MnMyEa0DsBPALOh/qF02aD8WAH8CsJeZHxq0/ToA5xoZ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\npoL2qpZO/veuJ4+9s/+bmqZ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ttHPmfcGUGxydbNuGcOzYvQl3DMiTRZPjE4J/zimff41ZGWwMJfOmHSWqOmPg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\nSVVEfgLMAdYB5wA3qOpy97mrgDsiGU8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88MFHmI7G7Z07P3zuser1L9yqJjooijKWVAVOOaKE3O6M5bl5P/rczDkXlqel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l7BgLUSrQ9wZn4h99TXEDVNDOCcgiL8kQiGAbkuF26bjVsq15Fid1Dm8dAeCTPWk0TUNHm6qYFj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\n7uDW6vV4bDaS7fYBH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dh6c8SdqXQCsO1UxEFURUAaAF2qiSgBqcnh0VLa3sMeCo+MTYM/crqF1VdMAK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\nPlV/eCy0ex379X8Txw5ynBaoqjYCeHn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9UILtVp4FfIxdVkeDoVIe0ZZDdczIGThsdO7QMb/pNf2s0WGRnsw1OSiBxgaW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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for user in [user for user in xp.index][:20]:\n", + " hours, bio = atus.user_report(s, user)\n", + " hours.plot(kind='pie', subplots=True)\n", + "plt.figure(figsize=(20,10))\n", + "# plt.plot?" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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hoursactivitydescriptionatus_final_weightyoungest_child_ageage_editedgendereducation_levelraceis_hispanicmetropolitan_statusemployment_statushas_multiple_jobswork_statusis_studentschool_levelpartner_presentpartner_employedweekly_earnings_mainhousehold_childrenpartner_work_statusweekly_hours_workeddateis_holidayeldercare_minuteschildcare_minutes
tucaseid
2013111013140623.550000t010101Sleeping1899058.155655-152239221121-1-13-1480000-14070270
2013080713237122.500000t050101Work, main job3107214.7263109471431111212-111192307214510-10
2013080713236522.000000t500101Insufficient detail in verbatim3345022.1044252321401211212-1122884612-19910-10
2013100913177821.816667t120303Television and movies (not religious)3495526.270281-1631382214-1-1-1-13-1-10-1-140-10
2013060513190121.050000t120312Reading for personal interest2218752.415573-1851401215-1-1-1-13-1-10-1-170-10
2013020113134220.500000t030401Physical care for hh adults4884344.681430-158243121222-1-13-1769230-11210-10
2013021212107119.716667t120301Relaxing, thinking6002226.550923-1801381215-1-1-1-13-1-10-1-130-10
2013030213003719.583333t020103Sewing, repairing, & maintaining textiles1940694.543983-165236122122-1-13-1100000-11011-10
2013090813101419.000000t030101Physical care for hh children7872288.9028370302431211222-11130000111550-10
2013070613171318.750000t130199Playing sports n.e.c.*7485472.098981-1551381214-1-1-1-13-1-10-1-151-10
2013040313139918.416667t010301Health-related self care8839255.028166-1802391225-1-1-1-13-1-10-1-170-10
2013060413054517.583333t070104Shopping, except groceries, food and gas2038913.61081112462421111112-13-1571421-14570-175
2013040313185817.000000t120307Playing games3191214.755998-1281392211212-13-11500000-16010-10
2013121113130016.933333t120305Listening to the radio1915241.746123-1601401215-1-1-1-13-1-10-1-170-10
201312111313000.066667t150601Public health activities1915241.746123-1601401215-1-1-1-13-1-10-1-170-10
2013111013169416.750000t060101Taking class for degree, certification, or lic...26871359.80349612152341215-1-1113-1-13-1-150-10
2013011212141516.500000t020101Interior cleaning6238249.01056210322391211222-13-1217502-13050-1180
2013121113224916.000000t010399Self care, n.e.c.*3282957.837097-1642421115-1-1-1-13-1-10-1-170-10
2013121113194215.850000t020201Food and drink preparation1902597.351244-1282401111112-13-1315000-14870-10
2013020113080215.833333t150102Organizing and preparing3980693.284825-1771431215-1-1-1-13-1-10-1-160-10
2013070613177815.733333t120101Socializing and communicating with others5702587.373597-1582401215-1-1-1-13-1-10-1-140-10
2013080613225615.383333t120308Computer use for leisure (excluding games)13578396.312247-1562391115-1-1-1-111-102-130-10
2013020113209514.816667t020902Household & personal organization and planning3389939.9864274162342215-1-1113-1-12-1-170-1415
2013111013204314.750000t189999Traveling, n.e.c.*17423300.301744-1631331215-1-1-1-13-1-10-1-15000
2013011212078914.566667t150203Providing care14552721.094199-1762441215-1-1-1-112-10-1-140-10
2013020113012914.333333t159999Volunteer activities, n.e.c.*2715144.531873-152146121121-1-13-11119000-1-470-10
2013050413209714.333333t040101Physical care for nonhh children2073978.5896741252239121111-1-13-11153001-15540-10
201305041320976.500000t040404Obtaining medical and care services for nonhh ...2073978.5896741252239121111-1-13-11153001-15540-10
2013030213252114.200000t060301Research/homework for class for degree, certif...46006353.688769-122143121122123-185710-1930-10
2013040313167014.166667t120311Hobbies, except arts & crafts and collecting2559083.853186-1221401231212-13-1680000-14010-10
.................................................................................
201312101318290.333333t160107Telephone calls to/from paid child or adult ca...2871970.895559949242121121123-11038461-140406065
201311101319300.333333t060303Waiting associated with research/homework9500611.9904711625243121122123-199751-1570-10
201304031307961.500000t180903Travel related to using pet services (not vet)4235328.586248-156244121121-1-13-12884610-16060-10
201304031307960.333333t090101Using interior cleaning services4235328.586248-156244121121-1-13-12884610-16060-10
201305041323660.333333t150701Waiting associated with volunteer activities14131720.519715-166244121122-1-122-10-13020-10
201310091312780.333333t090302Waiting associated with pet services4984326.264564-153239122111-1-13-1464100-13970-10
201311101308050.283333t050305Waiting associated with other income-generatin...7390671.5256803451431211212-1119000031-450-1757
201311101309690.250000t020199Housework, n.e.c.*6242469.76024117171361111212-13-1400001-14010-10
201301121217980.250000t180803Travel related to using legal services1869970.80428210671401215-1-1-1-13-1-12-1-160-1325
201308071306495.083333t181001Travel related to using government services9421010.311665-1452432211212-13-1774000-14250-10
201308071306492.583333t100304Waiting associated with using government services9421010.311665-1452432211212-13-1774000-14250-10
201308071306490.250000t050103Security procedures related to work9421010.311665-1452432211212-13-1774000-14250-10
201302021306830.250000t100499Security procedures rel. to govt svcs/civic ob...1642369.769691-1672431215-1-1-1-13-1-10-1-110-10
201304031309840.250000t090499Using lawn and garden services, n.e.c.*7896147.268803-1801351215-1-1-1-13-1-10-1-130-10
201307061325010.200000t090599Using vehicle maint. & repair svcs, n.e.c.*4245246.5957947272424214-1-11211-111-140-1427
201302011307441.450000t040111Waiting for/with nonhh children3177632.829933-1642391115-1-1-1-13-1-10-1-120-10
201302011307440.166667t180402Travel related to nonhh children's education3177632.829933-1642391115-1-1-1-13-1-10-1-120-10
201306051314280.166667t050404Waiting associated with job search or interview9452009.62514515531431214-1-1-1-111-111-120-10
201305051315910.166667t059999Work and work-related activities, n.e.c.*3495583.5157900312411211212-13-1630001-1456020383
201308081310960.166667t109999Government services, n.e.c.*13756093.183301-1562391225-1-1-1-122-10-1-130-10
201308081310960.133333t181099Travel rel. to govt svcs & civic obligations, ...13756093.183301-1562391225-1-1-1-122-10-1-130-10
201302011311640.166667t180299Travel related to household activities, n.e.c.*1773385.3595761353243121222-1-111-112-410600
201305051313010.166667t040299Activities related to nonhh child's educ., n.e...11266272.4535371557239222122-1-13-1240001-13040-10
201303031320320.166667t150699Public health & safety activities, n.e.c.*4842317.36288111441431211212-111150000116050-145
201308081310960.166667t109999Government services, n.e.c.*13756093.183301-1562391225-1-1-1-122-10-1-130-10
201308081310960.133333t181099Travel rel. to govt svcs & civic obligations, ...13756093.183301-1562391225-1-1-1-122-10-1-130-10
201311101317240.083333t169999Telephone calls, n.e.c.*3648438.241690-1272401214-1-12-13-1-10-1-170-10
201308061320700.083333t020299Food & drink prep, presentation, & clean-up, n...20897582.7153625421337121112-112-11-14630-1830
2013121113130016.933333t120305Listening to the radio1915241.746123-1601401215-1-1-1-13-1-10-1-170-10
201312111313000.066667t150601Public health activities1915241.746123-1601401215-1-1-1-13-1-10-1-170-10
\n", + "

425 rows × 26 columns

\n", + "
" + ], + "text/plain": [ + " hours activity \\\n", + "tucaseid \n", + "20131110131406 23.550000 t010101 \n", + "20130807132371 22.500000 t050101 \n", + "20130807132365 22.000000 t500101 \n", + "20131009131778 21.816667 t120303 \n", + "20130605131901 21.050000 t120312 \n", + "20130201131342 20.500000 t030401 \n", + "20130212121071 19.716667 t120301 \n", + "20130302130037 19.583333 t020103 \n", + "20130908131014 19.000000 t030101 \n", + "20130706131713 18.750000 t130199 \n", + "20130403131399 18.416667 t010301 \n", + "20130604130545 17.583333 t070104 \n", + "20130403131858 17.000000 t120307 \n", + "20131211131300 16.933333 t120305 \n", + "20131211131300 0.066667 t150601 \n", + "20131110131694 16.750000 t060101 \n", + "20130112121415 16.500000 t020101 \n", + "20131211132249 16.000000 t010399 \n", + "20131211131942 15.850000 t020201 \n", + "20130201130802 15.833333 t150102 \n", + "20130706131778 15.733333 t120101 \n", + "20130806132256 15.383333 t120308 \n", + "20130201132095 14.816667 t020902 \n", + "20131110132043 14.750000 t189999 \n", + "20130112120789 14.566667 t150203 \n", + "20130201130129 14.333333 t159999 \n", + "20130504132097 14.333333 t040101 \n", + "20130504132097 6.500000 t040404 \n", + "20130302132521 14.200000 t060301 \n", + "20130403131670 14.166667 t120311 \n", + "... ... ... \n", + "20131210131829 0.333333 t160107 \n", + "20131110131930 0.333333 t060303 \n", + "20130403130796 1.500000 t180903 \n", + "20130403130796 0.333333 t090101 \n", + "20130504132366 0.333333 t150701 \n", + "20131009131278 0.333333 t090302 \n", + "20131110130805 0.283333 t050305 \n", + "20131110130969 0.250000 t020199 \n", + "20130112121798 0.250000 t180803 \n", + "20130807130649 5.083333 t181001 \n", + "20130807130649 2.583333 t100304 \n", + "20130807130649 0.250000 t050103 \n", + "20130202130683 0.250000 t100499 \n", + "20130403130984 0.250000 t090499 \n", + "20130706132501 0.200000 t090599 \n", + "20130201130744 1.450000 t040111 \n", + "20130201130744 0.166667 t180402 \n", + "20130605131428 0.166667 t050404 \n", + "20130505131591 0.166667 t059999 \n", + "20130808131096 0.166667 t109999 \n", + "20130808131096 0.133333 t181099 \n", + "20130201131164 0.166667 t180299 \n", + "20130505131301 0.166667 t040299 \n", + "20130303132032 0.166667 t150699 \n", + "20130808131096 0.166667 t109999 \n", + "20130808131096 0.133333 t181099 \n", + "20131110131724 0.083333 t169999 \n", + "20130806132070 0.083333 t020299 \n", + "20131211131300 16.933333 t120305 \n", + "20131211131300 0.066667 t150601 \n", + "\n", + " description \\\n", + "tucaseid \n", + "20131110131406 Sleeping \n", + "20130807132371 Work, main job \n", + "20130807132365 Insufficient detail in verbatim \n", + "20131009131778 Television and movies (not religious) \n", + "20130605131901 Reading for personal interest \n", + "20130201131342 Physical care for hh adults \n", + "20130212121071 Relaxing, thinking \n", + "20130302130037 Sewing, repairing, & maintaining textiles \n", + "20130908131014 Physical care for hh children \n", + "20130706131713 Playing sports n.e.c.* \n", + "20130403131399 Health-related self care \n", + "20130604130545 Shopping, except groceries, food and gas \n", + "20130403131858 Playing games \n", + "20131211131300 Listening to the radio \n", + "20131211131300 Public health activities \n", + "20131110131694 Taking class for degree, certification, or lic... \n", + "20130112121415 Interior cleaning \n", + "20131211132249 Self care, n.e.c.* \n", + "20131211131942 Food and drink preparation \n", + "20130201130802 Organizing and preparing \n", + "20130706131778 Socializing and communicating with others \n", + "20130806132256 Computer use for leisure (excluding games) \n", + "20130201132095 Household & personal organization and planning \n", + "20131110132043 Traveling, n.e.c.* \n", + "20130112120789 Providing care \n", + "20130201130129 Volunteer activities, n.e.c.* \n", + "20130504132097 Physical care for nonhh children \n", + "20130504132097 Obtaining medical and care services for nonhh ... \n", + "20130302132521 Research/homework for class for degree, certif... \n", + "20130403131670 Hobbies, except arts & crafts and collecting \n", + "... ... \n", + "20131210131829 Telephone calls to/from paid child or adult ca... \n", + "20131110131930 Waiting associated with research/homework \n", + "20130403130796 Travel related to using pet services (not vet) \n", + "20130403130796 Using interior cleaning services \n", + "20130504132366 Waiting associated with volunteer activities \n", + "20131009131278 Waiting associated with pet services \n", + "20131110130805 Waiting associated with other income-generatin... \n", + "20131110130969 Housework, n.e.c.* \n", + "20130112121798 Travel related to using legal services \n", + "20130807130649 Travel related to using government services \n", + "20130807130649 Waiting associated with using government services \n", + "20130807130649 Security procedures related to work \n", + "20130202130683 Security procedures rel. to govt svcs/civic ob... \n", + "20130403130984 Using lawn and garden services, n.e.c.* \n", + "20130706132501 Using vehicle maint. & repair svcs, n.e.c.* \n", + "20130201130744 Waiting for/with nonhh children \n", + "20130201130744 Travel related to nonhh children's education \n", + "20130605131428 Waiting associated with job search or interview \n", + "20130505131591 Work and work-related activities, n.e.c.* \n", + "20130808131096 Government services, n.e.c.* \n", + "20130808131096 Travel rel. to govt svcs & civic obligations, ... \n", + "20130201131164 Travel related to household activities, n.e.c.* \n", + "20130505131301 Activities related to nonhh child's educ., n.e... \n", + "20130303132032 Public health & safety activities, n.e.c.* \n", + "20130808131096 Government services, n.e.c.* \n", + "20130808131096 Travel rel. to govt svcs & civic obligations, ... \n", + "20131110131724 Telephone calls, n.e.c.* \n", + "20130806132070 Food & drink prep, presentation, & clean-up, n... \n", + "20131211131300 Listening to the radio \n", + "20131211131300 Public health activities \n", + "\n", + " atus_final_weight youngest_child_age age_edited gender \\\n", + "tucaseid \n", + "20131110131406 1899058.155655 -1 52 2 \n", + "20130807132371 3107214.726310 9 47 1 \n", + "20130807132365 3345022.104425 2 32 1 \n", + "20131009131778 3495526.270281 -1 63 1 \n", + "20130605131901 2218752.415573 -1 85 1 \n", + "20130201131342 4884344.681430 -1 58 2 \n", + "20130212121071 6002226.550923 -1 80 1 \n", + "20130302130037 1940694.543983 -1 65 2 \n", + "20130908131014 7872288.902837 0 30 2 \n", + "20130706131713 7485472.098981 -1 55 1 \n", + "20130403131399 8839255.028166 -1 80 2 \n", + "20130604130545 2038913.610811 12 46 2 \n", + "20130403131858 3191214.755998 -1 28 1 \n", + "20131211131300 1915241.746123 -1 60 1 \n", + "20131211131300 1915241.746123 -1 60 1 \n", + "20131110131694 26871359.803496 12 15 2 \n", + "20130112121415 6238249.010562 10 32 2 \n", + "20131211132249 3282957.837097 -1 64 2 \n", + "20131211131942 1902597.351244 -1 28 2 \n", + "20130201130802 3980693.284825 -1 77 1 \n", + "20130706131778 5702587.373597 -1 58 2 \n", + "20130806132256 13578396.312247 -1 56 2 \n", + "20130201132095 3389939.986427 4 16 2 \n", + "20131110132043 17423300.301744 -1 63 1 \n", + "20130112120789 14552721.094199 -1 76 2 \n", + "20130201130129 2715144.531873 -1 52 1 \n", + "20130504132097 2073978.589674 12 52 2 \n", + "20130504132097 2073978.589674 12 52 2 \n", + "20130302132521 46006353.688769 -1 22 1 \n", + "20130403131670 2559083.853186 -1 22 1 \n", + "... ... ... ... ... \n", + "20131210131829 2871970.895559 9 49 2 \n", + "20131110131930 9500611.990471 16 25 2 \n", + "20130403130796 4235328.586248 -1 56 2 \n", + "20130403130796 4235328.586248 -1 56 2 \n", + "20130504132366 14131720.519715 -1 66 2 \n", + "20131009131278 4984326.264564 -1 53 2 \n", + "20131110130805 7390671.525680 3 45 1 \n", + "20131110130969 6242469.760241 17 17 1 \n", + "20130112121798 1869970.804282 10 67 1 \n", + "20130807130649 9421010.311665 -1 45 2 \n", + "20130807130649 9421010.311665 -1 45 2 \n", + "20130807130649 9421010.311665 -1 45 2 \n", + "20130202130683 1642369.769691 -1 67 2 \n", + "20130403130984 7896147.268803 -1 80 1 \n", + "20130706132501 4245246.595794 7 27 2 \n", + "20130201130744 3177632.829933 -1 64 2 \n", + "20130201130744 3177632.829933 -1 64 2 \n", + "20130605131428 9452009.625145 15 53 1 \n", + "20130505131591 3495583.515790 0 31 2 \n", + "20130808131096 13756093.183301 -1 56 2 \n", + "20130808131096 13756093.183301 -1 56 2 \n", + "20130201131164 1773385.359576 13 53 2 \n", + "20130505131301 11266272.453537 15 57 2 \n", + "20130303132032 4842317.362881 11 44 1 \n", + "20130808131096 13756093.183301 -1 56 2 \n", + "20130808131096 13756093.183301 -1 56 2 \n", + "20131110131724 3648438.241690 -1 27 2 \n", + "20130806132070 20897582.715362 5 42 1 \n", + "20131211131300 1915241.746123 -1 60 1 \n", + "20131211131300 1915241.746123 -1 60 1 \n", + "\n", + " education_level race is_hispanic metropolitan_status \\\n", + "tucaseid \n", + "20131110131406 39 2 2 1 \n", + "20130807132371 43 1 1 1 \n", + "20130807132365 40 1 2 1 \n", + "20131009131778 38 2 2 1 \n", + "20130605131901 40 1 2 1 \n", + "20130201131342 43 1 2 1 \n", + "20130212121071 38 1 2 1 \n", + "20130302130037 36 1 2 2 \n", + "20130908131014 43 1 2 1 \n", + "20130706131713 38 1 2 1 \n", + "20130403131399 39 1 2 2 \n", + "20130604130545 42 1 1 1 \n", + "20130403131858 39 2 2 1 \n", + "20131211131300 40 1 2 1 \n", + "20131211131300 40 1 2 1 \n", + "20131110131694 34 1 2 1 \n", + "20130112121415 39 1 2 1 \n", + "20131211132249 42 1 1 1 \n", + "20131211131942 40 1 1 1 \n", + "20130201130802 43 1 2 1 \n", + "20130706131778 40 1 2 1 \n", + "20130806132256 39 1 1 1 \n", + "20130201132095 34 2 2 1 \n", + "20131110132043 33 1 2 1 \n", + "20130112120789 44 1 2 1 \n", + "20130201130129 46 1 2 1 \n", + "20130504132097 39 1 2 1 \n", + "20130504132097 39 1 2 1 \n", + "20130302132521 43 1 2 1 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"20131211131300 40 1 2 1 \n", + "\n", + " employment_status has_multiple_jobs work_status is_student \\\n", + "tucaseid \n", + "20131110131406 1 2 1 -1 \n", + "20130807132371 1 2 1 2 \n", + "20130807132365 1 2 1 2 \n", + "20131009131778 4 -1 -1 -1 \n", + "20130605131901 5 -1 -1 -1 \n", + "20130201131342 2 2 2 -1 \n", + "20130212121071 5 -1 -1 -1 \n", + "20130302130037 1 2 2 -1 \n", + "20130908131014 1 2 2 2 \n", + "20130706131713 4 -1 -1 -1 \n", + "20130403131399 5 -1 -1 -1 \n", + "20130604130545 1 1 1 2 \n", + "20130403131858 1 2 1 2 \n", + "20131211131300 5 -1 -1 -1 \n", + "20131211131300 5 -1 -1 -1 \n", + "20131110131694 5 -1 -1 1 \n", + "20130112121415 1 2 2 2 \n", + "20131211132249 5 -1 -1 -1 \n", + "20131211131942 1 1 1 2 \n", + "20130201130802 5 -1 -1 -1 \n", + "20130706131778 5 -1 -1 -1 \n", + "20130806132256 5 -1 -1 -1 \n", + "20130201132095 5 -1 -1 1 \n", + "20131110132043 5 -1 -1 -1 \n", + "20130112120789 5 -1 -1 -1 \n", + "20130201130129 1 2 1 -1 \n", + "20130504132097 1 1 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-1 2 \n", + "20130806132070 1 1 1 2 \n", + "20131211131300 5 -1 -1 -1 \n", + "20131211131300 5 -1 -1 -1 \n", + "\n", + " school_level partner_present partner_employed \\\n", + "tucaseid \n", + "20131110131406 -1 3 -1 \n", + "20130807132371 -1 1 1 \n", + "20130807132365 -1 1 2 \n", + "20131009131778 -1 3 -1 \n", + "20130605131901 -1 3 -1 \n", + "20130201131342 -1 3 -1 \n", + "20130212121071 -1 3 -1 \n", + "20130302130037 -1 3 -1 \n", + "20130908131014 -1 1 1 \n", + "20130706131713 -1 3 -1 \n", + "20130403131399 -1 3 -1 \n", + "20130604130545 -1 3 -1 \n", + "20130403131858 -1 3 -1 \n", + "20131211131300 -1 3 -1 \n", + "20131211131300 -1 3 -1 \n", + "20131110131694 1 3 -1 \n", + "20130112121415 -1 3 -1 \n", + "20131211132249 -1 3 -1 \n", + "20131211131942 -1 3 -1 \n", + "20130201130802 -1 3 -1 \n", + "20130706131778 -1 3 -1 \n", + "20130806132256 -1 1 1 \n", + "20130201132095 1 3 -1 \n", + "20131110132043 -1 3 -1 \n", + "20130112120789 -1 1 2 \n", + "20130201130129 -1 3 -1 \n", + 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"20131211131300 -1 3 -1 \n", + "20131211131300 -1 3 -1 \n", + "\n", + " weekly_earnings_main household_children partner_work_status \\\n", + "tucaseid \n", + "20131110131406 48000 0 -1 \n", + "20130807132371 192307 2 1 \n", + "20130807132365 288461 2 -1 \n", + "20131009131778 -1 0 -1 \n", + "20130605131901 -1 0 -1 \n", + "20130201131342 76923 0 -1 \n", + "20130212121071 -1 0 -1 \n", + "20130302130037 10000 0 -1 \n", + "20130908131014 30000 1 1 \n", + "20130706131713 -1 0 -1 \n", + "20130403131399 -1 0 -1 \n", + "20130604130545 57142 1 -1 \n", + "20130403131858 150000 0 -1 \n", + "20131211131300 -1 0 -1 \n", + "20131211131300 -1 0 -1 \n", + "20131110131694 -1 3 -1 \n", + "20130112121415 21750 2 -1 \n", + "20131211132249 -1 0 -1 \n", + "20131211131942 31500 0 -1 \n", + "20130201130802 -1 0 -1 \n", + "20130706131778 -1 0 -1 \n", + "20130806132256 -1 0 2 \n", + "20130201132095 -1 2 -1 \n", + "20131110132043 -1 0 -1 \n", + "20130112120789 -1 0 -1 \n", + "20130201130129 111900 0 -1 \n", + 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import display\n", + "pd.options.display.max_columns = 30 #20 by default\n", + "\n", + "reports = [atus.user_report(s,i[0]) for i in xp.iloc[0:].iterrows()]\n", + "xps = pd.DataFrame()\n", + "cc = 1\n", + "for i, val in enumerate(reports):\n", + " bb = reports[i][1].stack().unstack(0)\n", + " bb.index.names=['tucaseid']\n", + " cc = pd.merge(xp, bb, left_index=True, right_index=True)\n", + " xps = xps.append(cc)\n", + "xps\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "TULINENO 1\n", + "TUYEAR 2013\n", + "TUMONTH 2\n", + "TEABSRSN -1\n", + "TEERN -1\n", + "TEERNH1O -1\n", + "TEERNH2 -1\n", + "TEERNHRO -1\n", + "TEERNHRY -1\n", + "TEERNPER -1\n", + "TEERNRT -1\n", + "TEERNUOT -1\n", + "TEERNWKP -1\n", + "TEHRFTPT -1\n", + "TEHRUSL1 -1\n", + "TEHRUSL2 -1\n", + "TEHRUSLT -1\n", + "TEIO1COW -1\n", + "TEIO1ICD -1\n", + "TEIO1OCD -1\n", + "TELAYAVL -1\n", + "TELAYLK -1\n", + "TELFS 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" + ], + "text/plain": [ + " 20130807132318\n", + "Sleeping 6.500000\n", + "Work, main job 8.000000\n", + "Shopping, except groceries, food and gas 1.500000\n", + "Eating and drinking 0.666667\n", + "Relaxing, thinking 2.916667\n", + "Travel related to working 1.083333\n", + "Travel related to shopping, ex groceries, food,... 0.583333\n", + "Respondent refused to provide information/\"none... 2.750000" + ] + }, + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hours, bio = atus.user_report(s, 20130807132318)\n", + "hours" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Who was the most sleepless, and how did he/she spend their day?" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " 20131109132113\n", + "Sleeping 1.000000\n", + "Sleeplessness 9.750000\n", + "Washing, dressing and grooming oneself 0.833333\n", + "Looking after hh children (as a primary activity) 0.166667\n", + "Shopping, except groceries, food and gas 0.250000\n", + "Eating and drinking 2.000000\n", + "Socializing and communicating with others 1.750000\n", + "Relaxing, thinking 4.500000\n", + "Television and movies (not religious) 2.250000\n", + "Travel related to shopping, ex groceries, food,... 0.500000\n", + "Gap/can't remember 1.000000" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "hours, bio = atus.user_report(s, 20131109132113)\n", + "hours\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "collapsed": true + }, + "source": [ + "###Just for fun: ATUS Mad Libs:" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import mad_lib # Generates a few semi-realistic sounding sentences using a the ATUS activity descriptions" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sharona did a bit of vehicle & appliance maintenance/repair assistance for nonhh adults at work last night.\n", + "It was all fun and games until Jill randomly decided to start doing research/homework n.e.c.* all the time back when it meant something.\n", + "Jack ultimately decided that using cardiovascular equipment just wasn't the same as it used to be in his/her prime.\n" + ] + } + ], + "source": [ + "mad_lib.mad_lib()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Further Exploration\n", + "\n", + "###Possible Questions:\n", + "- [What are the most extreme uses of the hours in a day?](#Outlier-Studies----What-is-the-maximum-time-anyone-spends-on-each-activity?)\n", + "- [Newborn parent sleep vs non-parents](#How-much-more-sleep-do-non-parents-get-than-parents-of-newborns?)\n", + "- [Newborn parent sleep - dads vs moms](#But-what-about-mother-versus-fathers-of-newborns?)\n", + "- [Amount of lawn work vs age of youngest child](#How-does-time-spent-on-lawn/garden/houseplants-vary-with-age-of-youngest-child?)\n", + "- Amount of alone time vs age of youngest child TRTALONE\n", + "- What are people doing at this moment in time?\n", + "- [What did people who responded \"none of your business\" 500105 do otherwise?](#Who-was-the-most-unwilling-participant-and-what-did-he/she-report-doing-that-day?)\n", + "- Show a random correlation\n", + "- What correlations show up with different age groups?\n", + "- [What do sleepless people do?](#Who-was-the-most-sleepless,-and-how-did-he/she-spend-their-day?)\n", + "- OTPYG, by the numbers\n", + "- Rodeo vs ???\n", + "- Organizing and Preparing vs ???\n", + "- What do people do on holiday vs day off vs day of work? Weekend vs weekday?\n", + "- WB Activity file -- WUHAPPY\n", + "\n", + "###Possible groupings:\n", + "- Adults with and without children\n", + "- Age of youngest child (0-5, 6-11, 12-17)\n", + "- Age < 25, < 40, < 65, > 65\n", + "- Male/Female\n", + "\n", + "###Other variables/files of interest:\n", + "- Actual activities file\n", + "\n", + "###Discussion Points:\n", + "- [Generating data dictionary from pdf](#See-parse_activities.py-for-the-code-to-convert-a-flat-list-of-codes-into-a-hierarchical-structure)\n", + "- [mad_lib](#Just-for-fun:-ATUS-Mad-Libs:)\n", + "- User report (building off of mad_lib)\n", + "\n", + "###Other:\n", + "- Critical Functions:\n", + " - atus.dictionaries in pa\n", + " - atus.search_codes()\n", + " - atus.pick_codes()\n", + " - atus.user_report()\n", + "- Test suite\n", + "\n", + "- Compare different populations (people with children and people without, people of differing age groups, men and women, or other groupings)\n", + "Answer macro-level questions and micro-level questions (for example, the amount of leisure for the macro-level, the types of things people do for leisure for the micro-level)\n", + "Your final analysis should be in the form of an IPython Notebook with both narrative analysis and supporting charts. Your supporting code should be in normal Python files.\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Table of Contents:\n", + "* [Back to Top](#ATUS-Analysis)\n", + "* [Table of Contents](#Table-of-Contents:)\n", + "* [Relevant Links](#Relevant-links:)\n", + "* [Groups](#Define-population-groups-for-analysis)\n", + "* [Joining Files](#Joining-files)\n", + "* [Correlation Matrix](#Correlation-matrix)\n", + "* [Verifying BLS Statistics](#Verifying-summary-statistics-from-BLS-website:)\n", + "* [Further Analyses](#Now-for-some-basic-analyses-using-the-summary-data)\n", + " * [One-track-minds](#Quick-Analysis----What-is-the-maximum-time-anyone-spends-on-each-category?)\n", + "* [Further Exploration](#Further-Exploration)\n", + "* [End](#End)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##End" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/README.md b/README.md index 88b27af..1247562 100644 --- a/README.md +++ b/README.md @@ -1,64 +1 @@ -# American Time Use Analysis - -## Description - -Use the U.S. Department of Labor's data on Americans' time use for research and analysis. - -## Objectives - -### Learning Objectives - -After completing this assignment, you should understand: - -* How to use public data for analysis -* How to translate data from CSVs to relational databases -* How to publish your own data analysis as a notebook - -### Performance Objectives - -After completing this assignment, you should be able to: - -* Use pandas to parse and analyze data -* Use matplotlib to chart data -* Clean data - -## Details - -### Deliverables - -* A Git repo called atus-analysis containing at least: - * `README.md` file explaining how to run your project - * a `requirements.txt` file - * an IPython notebook with your analysis - * a suite of tests for your project - -### Requirements - -* Passing unit tests -* No PEP8 or Pyflakes warnings or errors - -## Normal Mode - -The U.S. Bureau of Labor Statistics publishes yearly data about Americans' use -of their time: [American Time Use Survey](http://www.bls.gov/tus/home.htm#data). -This data is used to find out information like how many hours the average person -spends per day doing household activities. You can see -[the 2013 survey results](http://www.bls.gov/news.release/atus.nr0.htm) -for more examples. You should use these results to double-check your logic as well. - -You will download the 2013 files and use these to do analysis. The questions you are trying to answer are up to you, but they -should at least: - -* Compare different populations (people with children and people without, people of differing age groups, men and women, or other groupings) -* Answer macro-level questions and micro-level questions (for example, the amount of leisure for the macro-level, the types of things people do for leisure for the micro-level) - -Your final analysis should be in the form of an IPython Notebook with both -narrative analysis and supporting charts. Your supporting code should be in -normal Python files. - - - -## Additional Resources - -* [How to use ATUS microdata files](http://www.bls.gov/tus/howto.htm) -* [ATUS Coding Lexicon - you will need this](http://www.bls.gov/tus/lexicons.htm) +View/run ATUS_analysis.ipynb for analysis as well as notes on the other included files and functions. diff --git a/Starting Point.ipynb b/Starting Point.ipynb index 2e6fffc..65fe0a9 100644 --- a/Starting Point.ipynb +++ b/Starting Point.ipynb @@ -1,107 +1,93 @@ { "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Initial Exploration\n", + "####* [Table of Contents](#Table-of-Contents:)" + ] + }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, "outputs": [], - "source": [ - "import pandas as pd\n", - "import re" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 79, "metadata": { "collapsed": false }, "outputs": [], "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import math\n", + "import re\n", + "import zipfile\n", + "import seaborn as sns\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], - "source": [ - "%matplotlib inline" - ] + "source": [] }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 3, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 11385 entries, 0 to 11384\n", - "Columns: 413 entries, tucaseid to t500107\n", - "dtypes: float64(1), int64(412)\n", - "memory usage: 36.0 MB\n" - ] - } - ], + "outputs": [], "source": [ - "summary = pd.read_csv(\"atusdata/atussum_2013.dat\")\n", - "summary.info()" + "%matplotlib inline" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { - "data": { - "text/plain": [ - "Index(['tucaseid', 'TUFINLWGT', 'TRYHHCHILD', 'TEAGE', 'TESEX', 'PEEDUCA',\n", - " 'PTDTRACE', 'PEHSPNON', 'GTMETSTA', 'TELFS', \n", - " ...\n", - " 't181501', 't181599', 't181601', 't181801', 't189999', 't500101',\n", - " 't500103', 't500105', 't500106', 't500107'],\n", - " dtype='object', length=413)" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "activity_codes.pdf atusact_2013.zip atuscps_2013.zip atusresp_2013.zip atusrost_2013.zip atusrostec_2013.zip atussum_2013.zip atususersguide.pdf atuswho_2013.zip data_dictionary.pdf\r\n" + ] } ], "source": [ - "summary.columns" + "!ls atusdata/" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Pertinent columns:\n", + "##Relevant links:\n", + "- [activity_codes.pdf](atusdata/activity_codes.pdf)\n", "\n", - "* TUFINLWGT - statistical weight of respondent\n", - "* TRYHHCHILD - age of youngest child in household\n", - "* TEAGE - age of respondent\n", - "* TESEX - sex of respondent\n", - "* TELFS - working status of respondent\n", - "* TRCHILDNUM - number of children in household" + "- [atususersguide.pdf](atusdata/atususersguide.pdf)\n", + "\n", + "- [data_dictionary.pdf](atusdata/data_dictionary.pdf)" ] }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 5, "metadata": { "collapsed": false }, @@ -288,30 +274,64 @@ "[5 rows x 413 columns]" ] }, - "execution_count": 32, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "def open_atus_zip(datafile):\n", + " #datafile = 'atussum_2013'\n", + " summary = None\n", + " with zipfile.ZipFile('atusdata/{}.zip'.format(datafile), 'r') as z:\n", + " f = z.open('{}.dat'.format(datafile))\n", + " return pd.read_csv(f)\n", + "summary = open_atus_zip('atussum_2013')\n", "summary.head()" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 6, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "adults_crit = summary.TEAGE >= 18\n", - "no_children_crit = summary.TRCHILDNUM == 0" + "variables = sorted(list(summary.columns.values)[:24])\n", + "meanings = ['metropolitan_status',\n", + " 'education_level',\n", + " 'is_hispanic',\n", + " 'race',\n", + " 'age_edited',\n", + " 'weekly_hours_worked',\n", + " 'employment_status',\n", + " 'has_multiple_jobs',\n", + " 'is_student',\n", + " 'school_level',\n", + " 'gender',\n", + " 'partner_employed',\n", + " 'household_children',\n", + " 'work_status',\n", + " 'weekly_earnings_main',\n", + " 'is_holiday',\n", + " 'partner_work_status',\n", + " 'partner_present',\n", + " 'eldercare_minutes',\n", + " 'childcare_minutes',\n", + " 'youngest_child_age',\n", + " 'date',\n", + " 'atus_final_weight',\n", + " 'atus_case_id']\n", + "\n", + "summary_columns = {key: meanings[i] for i, key in enumerate(variables)}\n", + "meanings_unsorted = [summary_columns[key] for key in summary.columns.values[:24]]\n", + "# meanings_unsorted.extend(summary.columns.values[24:])" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 7, "metadata": { "collapsed": false }, @@ -321,69 +341,62 @@ "output_type": "stream", "text": [ "\n", - "Int64Index: 10953 entries, 0 to 11384\n", + "Int64Index: 11385 entries, 0 to 11384\n", "Columns: 413 entries, tucaseid to t500107\n", "dtypes: float64(1), int64(412)\n", - "memory usage: 34.6 MB\n" + "memory usage: 36.0 MB\n" ] } ], "source": [ - "adults = summary[adults_crit]\n", - "adults.info()" + "# summary = pd.read_csv(\"atusdata/atussum_2013.dat\")\n", + "summary.info()" ] }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 8, "metadata": { "collapsed": false }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 6481 entries, 2 to 11381\n", - "Columns: 413 entries, tucaseid to t500107\n", - "dtypes: float64(1), int64(412)\n", - "memory usage: 20.5 MB\n" - ] + "data": { + "text/plain": [ + "Index(['tucaseid', 'TUFINLWGT', 'TRYHHCHILD', 'TEAGE', 'TESEX', 'PEEDUCA',\n", + " 'PTDTRACE', 'PEHSPNON', 'GTMETSTA', 'TELFS', \n", + " ...\n", + " 't181501', 't181599', 't181601', 't181801', 't189999', 't500101',\n", + " 't500103', 't500105', 't500106', 't500107'],\n", + " dtype='object', length=413)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "people_with_no_children = summary[no_children_crit]\n", - "people_with_no_children.info()" + "summary.columns" ] }, { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "collapsed": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 6481 entries, 2 to 11381\n", - "Columns: 413 entries, tucaseid to t500107\n", - "dtypes: float64(1), int64(412)\n", - "memory usage: 20.5 MB\n" - ] - } - ], + "cell_type": "markdown", + "metadata": {}, "source": [ - "adults_with_no_children = summary[adults_crit & no_children_crit]\n", - "adults_with_no_children.info()" + "Pertinent columns:\n", + "\n", + "* TUFINLWGT - statistical weight of respondent\n", + "* TRYHHCHILD - age of youngest child in household\n", + "* TEAGE - age of respondent\n", + "* TESEX - sex of respondent\n", + "* TELFS - working status of respondent\n", + "* TRCHILDNUM - number of children in household" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 9, "metadata": { "collapsed": false }, @@ -396,74 +409,643 @@ " \n", " \n", " \n", - " weight\n", - " minutes\n", + " tucaseid\n", + " TUFINLWGT\n", + " TRYHHCHILD\n", + " TEAGE\n", + " TESEX\n", + " PEEDUCA\n", + " PTDTRACE\n", + " PEHSPNON\n", + " GTMETSTA\n", + " TELFS\n", + " ...\n", + " t181501\n", + " t181599\n", + " t181601\n", + " t181801\n", + " t189999\n", + " t500101\n", + " t500103\n", + " t500105\n", + " t500106\n", + " t500107\n", " \n", " \n", " \n", " \n", + " 0\n", + " 20130101130004\n", + " 11899905.662034\n", + " 12\n", + " 22\n", + " 2\n", + " 40\n", + " 8\n", + " 2\n", + " 1\n", + " 5\n", + " ...\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " \n", + " \n", + " 1\n", + " 20130101130112\n", + " 4447638.009513\n", + " 1\n", + " 39\n", + " 1\n", + " 43\n", + " 1\n", + " 2\n", + " 1\n", + " 1\n", + " ...\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " \n", + " \n", " 2\n", + " 20130101130123\n", " 10377056.507734\n", - " 60\n", + " -1\n", + " 47\n", + " 2\n", + " 40\n", + " 1\n", + " 2\n", + " 1\n", + " 4\n", + " ...\n", + " 25\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", " 3\n", + " 20130101130611\n", " 7731257.992805\n", - " 65\n", + " -1\n", + " 50\n", + " 2\n", + " 40\n", + " 1\n", + " 1\n", + " 1\n", + " 1\n", + " ...\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", " 4\n", + " 20130101130616\n", " 4725269.227067\n", - " 90\n", - " \n", - " \n", - " 5\n", - " 2372791.046351\n", - " 270\n", - " \n", - " \n", - " 6\n", - " 5671341.270490\n", - " 244\n", + " -1\n", + " 45\n", + " 2\n", + " 40\n", + " 2\n", + " 2\n", + " 1\n", + " 1\n", + " ...\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", + " 0\n", " \n", " \n", "\n", + "

5 rows × 413 columns

\n", "" ], "text/plain": [ - " weight minutes\n", - "2 10377056.507734 60\n", - "3 7731257.992805 65\n", - "4 4725269.227067 90\n", - "5 2372791.046351 270\n", - "6 5671341.270490 244" + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX PEEDUCA \\\n", + "0 20130101130004 11899905.662034 12 22 2 40 \n", + "1 20130101130112 4447638.009513 1 39 1 43 \n", + "2 20130101130123 10377056.507734 -1 47 2 40 \n", + "3 20130101130611 7731257.992805 -1 50 2 40 \n", + "4 20130101130616 4725269.227067 -1 45 2 40 \n", + "\n", + " PTDTRACE PEHSPNON GTMETSTA TELFS ... t181501 t181599 t181601 \\\n", + "0 8 2 1 5 ... 0 0 0 \n", + "1 1 2 1 1 ... 0 0 0 \n", + "2 1 2 1 4 ... 25 0 0 \n", + "3 1 1 1 1 ... 0 0 0 \n", + "4 2 2 1 1 ... 0 0 0 \n", + "\n", + " t181801 t189999 t500101 t500103 t500105 t500106 t500107 \n", + "0 0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 0 \n", + "\n", + "[5 rows x 413 columns]" ] }, - "execution_count": 37, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data = adults_with_no_children[['TUFINLWGT', 't120303']]\n", - "data = data.rename(columns={\"TUFINLWGT\": \"weight\", \"t120303\": \"minutes\"})\n", - "data.head()" + "summary.head()" ] }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 10, "metadata": { "collapsed": false }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "['atus_case_id',\n", + " 'atus_final_weight',\n", + " 'youngest_child_age',\n", + " 'age_edited',\n", + " 'gender',\n", + " 'education_level',\n", + " 'race',\n", + " 'is_hispanic',\n", + " 'metropolitan_status',\n", + " 'employment_status',\n", + " 'has_multiple_jobs',\n", + " 'work_status',\n", + " 'is_student',\n", + " 'school_level',\n", + " 'partner_present',\n", + " 'partner_employed',\n", + " 'weekly_earnings_main',\n", + " 'household_children',\n", + " 'partner_work_status',\n", + " 'weekly_hours_worked',\n", + " 'date',\n", + " 'is_holiday',\n", + " 'eldercare_minutes',\n", + " 'childcare_minutes',\n", + " 'Sleeping',\n", + " 'Sleeplessness',\n", + " 'Washing, dressing and grooming oneself',\n", + " 'Grooming, n.e.c.*',\n", + " 'Health-related self care',\n", + " 'Self care, n.e.c.*',\n", + " 'Personal/Private activities',\n", + " 'Interior cleaning',\n", + " 'Laundry',\n", + " 'Sewing, repairing, & maintaining textiles',\n", + " 'Storing interior hh items, inc. food',\n", + " 'Housework, n.e.c.*',\n", + " 'Food and drink preparation',\n", + " 'Food presentation',\n", + " 'Kitchen and food clean-up',\n", + " 'Food & drink prep, presentation, & clean-up, n.e.c.*',\n", + " 'Interior arrangement, decoration, & repairs',\n", + " 'Building and repairing furniture',\n", + " 'Heating and cooling',\n", + " 'Interior maintenance, repair, & decoration, n.e.c.*',\n", + " 'Exterior cleaning',\n", + " 'Exterior repair, improvements, & decoration',\n", + " 'Exterior maintenance, repair & decoration, n.e.c.*',\n", + " 'Lawn, garden, and houseplant care',\n", + " 'Ponds, pools, and hot tubs',\n", + " 'Lawn and garden, n.e.c.*',\n", + " 'Care for animals and pets (not veterinary care)',\n", + " 'Walking / exercising / playing with animals',\n", + " 'Pet and animal care, n.e.c.*',\n", + " 'Vehicle repair and maintenance (by self)',\n", + " 'Vehicles, n.e.c.*',\n", + " 'Appliance, tool, and toy set-up, repair, & maintenance (by self)',\n", + " 'Appliances and tools, n.e.c.*',\n", + " 'Financial management',\n", + " 'Household & personal organization and planning',\n", + " 'HH & personal mail & messages (except e-mail)',\n", + " 'HH & personal e-mail and messages',\n", + " 'Home security',\n", + " 'Household management, n.e.c.*',\n", + " 'Household activities, n.e.c.*',\n", + " 'Physical care for hh children',\n", + " 'Reading to/with hh children',\n", + " 'Playing with hh children, not sports',\n", + " 'Arts and crafts with hh children',\n", + " 'Playing sports with hh children',\n", + " 'Talking with/listening to hh children',\n", + " 'Organization & planning for hh children',\n", + " 'Looking after hh children (as a primary activity)',\n", + " \"Attending hh children's events\",\n", + " 'Waiting for/with hh children',\n", + " 'Picking up/dropping off hh children',\n", + " 'Caring for & helping hh children, n.e.c.*',\n", + " 'Homework (hh children)',\n", + " 'Meetings and school conferences (hh children)',\n", + " 'Home schooling of hh children',\n", + " \"Activities related to hh child's education, n.e.c.*\",\n", + " 'Providing medical care to hh children',\n", + " 'Obtaining medical care for hh children',\n", + " \"Waiting associated with hh children's health\",\n", + " \"Activities related to hh child's health, n.e.c.*\",\n", + " 'Physical care for hh adults',\n", + " 'Looking after hh adult (as a primary activity)',\n", + " 'Providing medical care to hh adult',\n", + " 'Obtaining medical and care services for hh adult',\n", + " 'Waiting associated with caring for household adults',\n", + " 'Caring for household adults, n.e.c.*',\n", + " 'Helping hh adults',\n", + " 'Organization & planning for hh adults',\n", + " 'Picking up/dropping off hh adult',\n", + " 'Waiting associated with helping hh adults',\n", + " 'Helping household adults, n.e.c.*',\n", + " 'Caring for & helping hh members, n.e.c.*',\n", + " 'Physical care for nonhh children',\n", + " 'Reading to/with nonhh children',\n", + " 'Playing with nonhh children, not sports',\n", + " 'Arts and crafts with nonhh children',\n", + " 'Playing sports with nonhh children',\n", + " 'Talking with/listening to nonhh children',\n", + " 'Organization & planning for nonhh children',\n", + " 'Looking after nonhh children (as primary activity)',\n", + " \"Attending nonhh children's events\",\n", + " 'Waiting for/with nonhh children',\n", + " 'Dropping off/picking up nonhh children',\n", + " 'Caring for and helping nonhh children, n.e.c.*',\n", + " 'Homework (nonhh children)',\n", + " \"Activities related to nonhh child's educ., n.e.c.*\",\n", + " 'Providing medical care to nonhh children',\n", + " 'Obtaining medical care for nonhh children',\n", + " 'Physical care for nonhh adults',\n", + " 'Looking after nonhh adult (as a primary activity)',\n", + " 'Providing medical care to nonhh adult',\n", + " 'Obtaining medical and care services for nonhh adult',\n", + " 'Waiting associated with caring for nonhh adults',\n", + " 'Caring for nonhh adults, n.e.c.*',\n", + " 'Housework, cooking, & shopping assistance for nonhh adults',\n", + " 'House & lawn maintenance & repair assistance for nonhh adults',\n", + " 'Animal & pet care assistance for nonhh adults',\n", + " 'Vehicle & appliance maintenance/repair assistance for nonhh adults',\n", + " 'Financial management assistance for nonhh adults',\n", + " 'Household management & paperwork assistance for nonhh adults',\n", + " 'Picking up/dropping off nonhh adult',\n", + " 'Waiting associated with helping nonhh adults',\n", + " 'Helping nonhh adults, n.e.c.*',\n", + " 'Work, main job',\n", + " 'Work, other job(s)',\n", + " 'Security procedures related to work',\n", + " 'Waiting associated with working',\n", + " 'Working, n.e.c.*',\n", + " 'Socializing, relaxing, and leisure as part of job',\n", + " 'Eating and drinking as part of job',\n", + " 'Waiting associated with work-related activities',\n", + " 'Income-generating hobbies, crafts, and food',\n", + " 'Income-generating performances',\n", + " 'Income-generating services',\n", + " 'Income-generating rental property activities',\n", + " 'Waiting associated with other income-generating activities',\n", + " 'Other income-generating activities, n.e.c.*',\n", + " 'Job search activities',\n", + " 'Job interviewing',\n", + " 'Waiting associated with job search or interview',\n", + " 'Work and work-related activities, n.e.c.*',\n", + " 'Taking class for degree, certification, or licensure',\n", + " 'Taking class for personal interest',\n", + " 'Waiting associated with taking classes',\n", + " 'Taking class, n.e.c.*',\n", + " 'Extracurricular club activities',\n", + " 'Extracurricular music & performance activities',\n", + " 'Education-related extracurricular activities, n.e.c.*',\n", + " 'Research/homework for class for degree, certification, or licensure',\n", + " 'Research/homework for class for pers. interest',\n", + " 'Waiting associated with research/homework',\n", + " 'Research/homework n.e.c.*',\n", + " 'Administrative activities: class for degree, certification, or licensure',\n", + " 'Administrative activities: class for personal interest',\n", + " 'Waiting associated w/admin. activities (education)',\n", + " 'Administrative for education, n.e.c.*',\n", + " 'Education, n.e.c.*',\n", + " 'Grocery shopping',\n", + " 'Purchasing gas',\n", + " 'Purchasing food (not groceries)',\n", + " 'Shopping, except groceries, food and gas',\n", + " 'Waiting associated with shopping',\n", + " 'Comparison shopping',\n", + " 'Using paid childcare services',\n", + " 'Banking',\n", + " 'Using other financial services',\n", + " 'Waiting associated w/banking/financial services',\n", + " 'Using legal services',\n", + " 'Using health and care services outside the home',\n", + " 'Using in-home health and care services',\n", + " 'Waiting associated with medical services',\n", + " 'Using medical services, n.e.c.*',\n", + " 'Using personal care services',\n", + " 'Waiting associated w/personal care services',\n", + " 'Activities rel. to purchasing/selling real estate',\n", + " 'Waiting associated w/purchasing/selling real estate',\n", + " 'Using veterinary services',\n", + " 'Waiting associated with veterinary services',\n", + " 'Professional and personal services, n.e.c.*',\n", + " 'Using interior cleaning services',\n", + " 'Using clothing repair and cleaning services',\n", + " 'Using household services, n.e.c.*',\n", + " 'Using home maint/repair/décor/construction svcs',\n", + " 'Waiting associated w/ home main/repair/décor/constr',\n", + " 'Using pet services',\n", + " 'Waiting associated with pet services',\n", + " 'Using pet services, n.e.c.*',\n", + " 'Using lawn and garden services',\n", + " 'Using lawn and garden services, n.e.c.*',\n", + " 'Using vehicle maintenance or repair services',\n", + " 'Waiting associated with vehicle main. or repair svcs',\n", + " 'Using vehicle maint. & repair svcs, n.e.c.*',\n", + " 'Using household services, n.e.c.*',\n", + " 'Using police and fire services',\n", + " 'Using social services',\n", + " 'Obtaining licenses & paying fines, fees, taxes',\n", + " 'Using government services, n.e.c.*',\n", + " 'Civic obligations & participation',\n", + " 'Waiting associated with using government services',\n", + " 'Security procedures rel. to govt svcs/civic obligations, n.e.c.*',\n", + " 'Government services, n.e.c.*',\n", + " 'Eating and drinking',\n", + " 'Waiting associated w/eating & drinking',\n", + " 'Socializing and communicating with others',\n", + " 'Attending or hosting parties/receptions/ceremonies',\n", + " 'Attending meetings for personal interest (not volunteering)',\n", + " 'Attending/hosting social events, n.e.c.*',\n", + " 'Relaxing, thinking',\n", + " 'Tobacco and drug use',\n", + " 'Television and movies (not religious)',\n", + " 'Television (religious)',\n", + " 'Listening to the radio',\n", + " 'Listening to/playing music (not radio)',\n", + " 'Playing games',\n", + " 'Computer use for leisure (excluding games)',\n", + " 'Arts and crafts as a hobby',\n", + " 'Collecting as a hobby',\n", + " 'Hobbies, except arts & crafts and collecting',\n", + " 'Reading for personal interest',\n", + " 'Writing for personal interest',\n", + " 'Relaxing and leisure, n.e.c.*',\n", + " 'Attending performing arts',\n", + " 'Attending museums',\n", + " 'Attending movies/film',\n", + " 'Attending gambling establishments',\n", + " 'Arts and entertainment, n.e.c.*',\n", + " 'Waiting assoc. w/socializing & communicating',\n", + " 'Waiting assoc. w/attending/hosting social events',\n", + " 'Waiting associated with relaxing/leisure',\n", + " 'Waiting associated with arts & entertainment',\n", + " 'Waiting associated with socializing, n.e.c.*',\n", + " 'Socializing, relaxing, and leisure, n.e.c.*',\n", + " 'Doing aerobics',\n", + " 'Playing baseball',\n", + " 'Playing basketball',\n", + " 'Biking',\n", + " 'Playing billiards',\n", + " 'Boating',\n", + " 'Bowling',\n", + " 'Climbing, spelunking, caving',\n", + " 'Dancing',\n", + " 'Participating in equestrian sports',\n", + " 'Fishing',\n", + " 'Playing football',\n", + " 'Golfing',\n", + " 'Doing gymnastics',\n", + " 'Hiking',\n", + " 'Playing hockey',\n", + " 'Hunting',\n", + " 'Participating in martial arts',\n", + " 'Playing racquet sports',\n", + " 'Rollerblading',\n", + " 'Playing rugby',\n", + " 'Running',\n", + " 'Skiing, ice skating, snowboarding',\n", + " 'Playing soccer',\n", + " 'Softball',\n", + " 'Using cardiovascular equipment',\n", + " 'Vehicle touring/racing',\n", + " 'Playing volleyball',\n", + " 'Walking',\n", + " 'Participating in water sports',\n", + " 'Weightlifting/strength training',\n", + " 'Working out, unspecified',\n", + " 'Wrestling',\n", + " 'Doing yoga',\n", + " 'Playing sports n.e.c.*',\n", + " 'Watching baseball',\n", + " 'Watching basketball',\n", + " 'Watching billiards',\n", + " 'Watching boating',\n", + " 'Watching bowling',\n", + " 'Watching equestrian sports',\n", + " 'Watching football',\n", + " 'Watching gymnastics',\n", + " 'Watching hockey',\n", + " 'Watching racquet sports',\n", + " 'Watching rodeo competitions',\n", + " 'Watching rollerblading',\n", + " 'Watching rugby',\n", + " 'Watching running',\n", + " 'Watching skiing, ice skating, snowboarding',\n", + " 'Watching soccer',\n", + " 'Watching softball',\n", + " 'Watching vehicle touring/racing',\n", + " 'Watching volleyball',\n", + " 'Watching water sports',\n", + " 'Watching wrestling',\n", + " 'Attending sporting events, n.e.c.*',\n", + " 'Waiting related to playing sports or exercising',\n", + " 'Waiting related to attending sporting events',\n", + " 'Sports, exercise, & recreation, n.e.c.*',\n", + " 'Attending religious services',\n", + " 'Participation in religious practices',\n", + " 'Waiting associated w/religious & spiritual activities',\n", + " 'Religious education activities',\n", + " 'Religious and spiritual activities, n.e.c.*',\n", + " 'Computer use',\n", + " 'Organizing and preparing',\n", + " 'Reading',\n", + " 'Telephone calls (except hotline counseling)',\n", + " 'Writing',\n", + " 'Fundraising',\n", + " 'Administrative & support activities, n.e.c.*',\n", + " 'Food preparation, presentation, clean-up',\n", + " 'Collecting & delivering clothing & other goods',\n", + " 'Providing care',\n", + " 'Teaching, leading, counseling, mentoring',\n", + " 'Social service & care activities, n.e.c.*',\n", + " 'Building houses, wildlife sites, & other structures',\n", + " 'Indoor & outdoor maintenance, repair, & clean-up',\n", + " 'Indoor & outdoor maintenance, building & clean-up activities, n.e.c.*',\n", + " 'Performing',\n", + " 'Serving at volunteer events & cultural activities',\n", + " 'Participating in performance & cultural activities, n.e.c.*',\n", + " 'Attending meetings, conferences, & training',\n", + " 'Attending meetings, conferences, & training, n.e.c.*',\n", + " 'Public health activities',\n", + " 'Public safety activities',\n", + " 'Public health & safety activities, n.e.c.*',\n", + " 'Waiting associated with volunteer activities',\n", + " 'Security procedures related to volunteer activities',\n", + " 'Volunteer activities, n.e.c.*',\n", + " 'Telephone calls to/from family members',\n", + " 'Telephone calls to/from friends, neighbors, or acquaintances',\n", + " 'Telephone calls to/from education services providers',\n", + " 'Telephone calls to/from salespeople',\n", + " 'Telephone calls to/from professional or personal care svcs providers',\n", + " 'Telephone calls to/from household services providers',\n", + " 'Telephone calls to/from paid child or adult care providers',\n", + " 'Telephone calls to/from government officials',\n", + " 'Telephone calls (to or from), n.e.c.*',\n", + " 'Waiting associated with telephone calls',\n", + " 'Telephone calls, n.e.c.*',\n", + " 'Travel related to personal care',\n", + " 'Travel related to personal care, n.e.c.*',\n", + " 'Travel related to housework',\n", + " 'Travel related to food & drink prep., clean-up, & presentation',\n", + " 'Travel related to interior maintenance, repair, & decoration',\n", + " 'Travel related to exterior maintenance, repair, & decoration',\n", + " 'Travel related to lawn, garden, and houseplant care',\n", + " 'Travel related to care for animals and pets (not vet care)',\n", + " 'Travel related to vehicle care & maintenance (by self)',\n", + " 'Travel related to appliance, tool, and toy set-up, repair, & maintenance (by self)',\n", + " 'Travel related to household management',\n", + " 'Travel related to household activities, n.e.c.*',\n", + " 'Travel related to caring for & helping hh children',\n", + " \"Travel related to hh children's education\",\n", + " \"Travel related to hh children's health\",\n", + " 'Travel related to caring for hh adults',\n", + " 'Travel related to helping hh adults',\n", + " 'Travel related to caring for and helping nonhh children',\n", + " \"Travel related to nonhh children's education\",\n", + " \"Travel related to nonhh children's health\",\n", + " 'Travel related to caring for nonhh adults',\n", + " 'Travel related to helping nonhh adults',\n", + " 'Travel related to working',\n", + " 'Travel related to work-related activities',\n", + " 'Travel related to income-generating activities',\n", + " 'Travel related to job search & interviewing',\n", + " 'Travel related to work, n.e.c.*',\n", + " 'Travel related to taking class',\n", + " 'Travel related to extracurricular activities (ex. Sports)',\n", + " 'Travel related to research/homework',\n", + " 'Travel related to registration/administrative activities',\n", + " 'Travel related to education, n.e.c.*',\n", + " 'Travel related to grocery shopping',\n", + " 'Travel related to purchasing gas',\n", + " 'Travel related to purchasing food (not groceries)',\n", + " 'Travel related to shopping, ex groceries, food, and gas',\n", + " 'Travel related to consumer purchases, n.e.c.*',\n", + " 'Travel related to using childcare services',\n", + " 'Travel related to using financial services and banking',\n", + " 'Travel related to using legal services',\n", + " 'Travel related to using medical services',\n", + " 'Travel related to using personal care services',\n", + " 'Travel related to using real estate services',\n", + " 'Travel related to using veterinary services',\n", + " 'Travel rel. to using prof. & personal care services, n.e.c.*',\n", + " 'Travel related to using household services',\n", + " 'Travel related to using home main./repair/décor./construction svcs',\n", + " 'Travel related to using pet services (not vet)',\n", + " 'Travel related to using lawn and garden services',\n", + " 'Travel related to using vehicle maintenance & repair services',\n", + " 'Travel related to using household services, n.e.c.*',\n", + " 'Travel related to using government services',\n", + " 'Travel related to civic obligations & participation',\n", + " 'Travel rel. to govt svcs & civic obligations, n.e.c.*',\n", + " 'Travel related to eating and drinking',\n", + " 'Travel related to socializing and communicating',\n", + " 'Travel related to attending or hosting social events',\n", + " 'Travel related to relaxing and leisure',\n", + " 'Travel related to arts and entertainment',\n", + " 'Travel as a form of entertainment',\n", + " 'Travel rel. to socializing, relaxing, & leisure, n.e.c.*',\n", + " 'Travel related to participating in sports/exercise/recreation',\n", + " 'Travel related to attending sporting/recreational events',\n", + " 'Travel related to religious/spiritual practices',\n", + " 'Travel rel. to religious/spiritual activities, n.e.c.*',\n", + " 'Travel related to volunteering',\n", + " 'Travel related to volunteer activities, n.e.c.*',\n", + " 'Travel related to phone calls',\n", + " 'Security procedures related to traveling',\n", + " 'Traveling, n.e.c.*',\n", + " 'Insufficient detail in verbatim',\n", + " 'Missing travel or destination',\n", + " 'Respondent refused to provide information/\"none of your business\"',\n", + " \"Gap/can't remember\",\n", + " 'Unable to code activity at 1st tier']" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "data['weighted_minutes'] = data.weight * data.minutes" + "import parse_activities as pa\n", + "#import importlib\n", + "#importlib.reload(pa)\n", + "#del pa\n", + "pa.atus_codes_list\n", + "pa.codes_dict\n", + "z = summary_columns.copy()\n", + "z.update(pa.codes_dict)\n", + "summary_columns = z\n", + "summary_columns\n", + "code_meanings = [ pa.codes_dict[i] for i in summary.columns.values[24:]]\n", + "meanings_unsorted.extend(code_meanings)\n", + "meanings_unsorted\n", + "# summary4 = summary.rename(columns=pa.codes_dict)\n", + "# summary4.head()\n", + "# summary5 = summary4\n", + "# summary5.columns = pd.MultiIndex.from_tuples(list(zip(meanings_unsorted, summary.columns)))\n", + "# summary5.head() # .columns.values" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 11, "metadata": { "collapsed": false }, @@ -474,92 +1056,548 @@ "
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weightminutesweighted_minutestucaseidTUFINLWGTTRYHHCHILDTEAGETESEXPEEDUCAPTDTRACEPEHSPNONGTMETSTATELFS...t181501t181599t181601t181801t189999t500101t500103t500105t500106t500107
atus_case_idatus_final_weightyoungest_child_ageage_editedgendereducation_levelraceis_hispanicmetropolitan_statusemployment_status...Travel related to volunteeringTravel related to volunteer activities, n.e.c.*Travel related to phone callsSecurity procedures related to travelingTraveling, n.e.c.*Insufficient detail in verbatimMissing travel or destinationRespondent refused to provide information/\"none of your business\"Gap/can't rememberUnable to code activity at 1st tier
02013010113000411899905.66203412222408215...0000000000
1201301011301124447638.0095131391431211...0000000000
22013010113012310377056.507734606.226234e+08-1472401214...25000000000
3201301011306117731257.992805655.025318e+08-1502401111...0000000000
4201301011306164725269.227067904.252742e+08
52372791.0463512706.406536e+08
65671341.2704902441.383807e+09-1452402211...0000000000
\n", + "

5 rows × 413 columns

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" ], "text/plain": [ - " weight minutes weighted_minutes\n", - "2 10377056.507734 60 6.226234e+08\n", - "3 7731257.992805 65 5.025318e+08\n", - "4 4725269.227067 90 4.252742e+08\n", - "5 2372791.046351 270 6.406536e+08\n", - "6 5671341.270490 244 1.383807e+09" + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX \\\n", + " atus_case_id atus_final_weight youngest_child_age age_edited gender \n", + "0 20130101130004 11899905.662034 12 22 2 \n", + "1 20130101130112 4447638.009513 1 39 1 \n", + "2 20130101130123 10377056.507734 -1 47 2 \n", + "3 20130101130611 7731257.992805 -1 50 2 \n", + "4 20130101130616 4725269.227067 -1 45 2 \n", + "\n", + " PEEDUCA PTDTRACE PEHSPNON GTMETSTA TELFS \\\n", + " education_level race is_hispanic metropolitan_status employment_status \n", + "0 40 8 2 1 5 \n", + "1 43 1 2 1 1 \n", + "2 40 1 2 1 4 \n", + "3 40 1 1 1 1 \n", + "4 40 2 2 1 1 \n", + "\n", + " ... t181501 \\\n", + " ... Travel related to volunteering \n", + "0 ... 0 \n", + "1 ... 0 \n", + "2 ... 25 \n", + "3 ... 0 \n", + "4 ... 0 \n", + "\n", + " t181599 \\\n", + " Travel related to volunteer activities, n.e.c.* \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t181601 t181801 \\\n", + " Travel related to phone calls Security procedures related to traveling \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + " t189999 t500101 \\\n", + " Traveling, n.e.c.* Insufficient detail in verbatim \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + " t500103 \\\n", + " Missing travel or destination \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t500105 \\\n", + " Respondent refused to provide information/\"none of your business\" \n", + "0 0 \n", + "1 0 \n", + "2 0 \n", + "3 0 \n", + "4 0 \n", + "\n", + " t500106 t500107 \n", + " Gap/can't remember Unable to code activity at 1st tier \n", + "0 0 0 \n", + "1 0 0 \n", + "2 0 0 \n", + "3 0 0 \n", + "4 0 0 \n", + "\n", + "[5 rows x 413 columns]" ] }, - "execution_count": 39, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "data.head()" + "summary2 = summary.rename(columns=summary_columns)\n", + "summary3 = summary2\n", + "summary3.columns = pd.MultiIndex.from_tuples(list(zip(summary.columns, meanings_unsorted)))\n", + "summary3.head() # .columns.values" ] }, + { + "cell_type": "raw", + "metadata": {}, + "source": [] + }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 12, "metadata": { - "collapsed": false + "collapsed": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "211.67427866070051" - ] - }, - "execution_count": 40, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "# Minutes on average spent watching TV (unweighted) - DO NOT USE\n", + "# summary2 = summary.rename(columns=summary_columns)\n", + "# summary3 = summary2\n", + "# summary3.columns = pd.MultiIndex.from_tuples(list(zip(meanings_unsorted, summary.columns)))\n", + "# summary3.head() # .columns.values" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "adults_crit = summary.TEAGE >= 18\n", + "no_children_crit = summary.TRCHILDNUM == 0" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 10953 entries, 0 to 11384\n", + "Columns: 413 entries, tucaseid to t500107\n", + "dtypes: float64(1), int64(412)\n", + "memory usage: 34.6 MB\n" + ] + } + ], + "source": [ + "adults = summary[adults_crit]\n", + "adults.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 6481 entries, 2 to 11381\n", + "Columns: 413 entries, tucaseid to t500107\n", + "dtypes: float64(1), int64(412)\n", + "memory usage: 20.5 MB\n" + ] + }, + { + "data": { + "text/plain": [ + "6481" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "people_with_no_children = summary[no_children_crit]\n", + "people_with_no_children.info()\n", + "len(people_with_no_children)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Int64Index: 6481 entries, 2 to 11381\n", + "Columns: 413 entries, tucaseid to t500107\n", + "dtypes: float64(1), int64(412)\n", + "memory usage: 20.5 MB\n" + ] + } + ], + "source": [ + "adults_with_no_children = summary[adults_crit & no_children_crit]\n", + "adults_with_no_children.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "190.25402840855642" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def weighted(df, col):\n", + " \"\"\"\n", + " Pass in dataframe and a name of column (str) to received statistically weighted number based on TUFINLWGT\n", + " Returns a dataframe with a weighted values column as well as a weighted average\n", + " \"\"\"\n", + " data = df[['TUFINLWGT', col]]\n", + " data[str(col+'_wgt')] = data.TUFINLWGT * data[col]\n", + " avg = data[str(col+'_wgt')].sum() / data.TUFINLWGT.sum()\n", + " return data, avg\n", + "\n", + "def weighted_col(df, col):\n", + " \"\"\"\n", + " Pass in dataframe and a name of column (str) to received statistically weighted column based on TUFINLWGT\n", + " \"\"\"\n", + " data = df[['TUFINLWGT', col]]\n", + " data[str(col+'_wgt')] = data.TUFINLWGT * data[col]\n", + " return data[str(col+'_wgt')]\n", + "\n", + "data = adults_with_no_children[['TUFINLWGT', 't120303']]\n", + "data.head()\n", + "data2, avg = weighted(data, 't120303')\n", + "data = data.rename(columns={\"TUFINLWGT\": \"weight\", \"t120303\": \"minutes\"})\n", + "\n", + "data2.head()\n", + "avg" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "data['weighted_minutes'] = data.weight * data.minutes" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " weight minutes weighted_minutes\n", + "2 10377056.507734 60 6.226234e+08\n", + "3 7731257.992805 65 5.025318e+08\n", + "4 4725269.227067 90 4.252742e+08\n", + "5 2372791.046351 270 6.406536e+08\n", + "6 5671341.270490 244 1.383807e+09" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "211.67427866070051" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Minutes on average spent watching TV (unweighted) - DO NOT USE\n", "data.minutes.sum() / len(data)" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 21, "metadata": { "collapsed": false }, @@ -570,7 +1608,7 @@ "190.25402840855642" ] }, - "execution_count": 41, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -582,7 +1620,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 22, "metadata": { "collapsed": false }, @@ -598,7 +1636,7 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 23, "metadata": { "collapsed": false }, @@ -606,10 +1644,10 @@ { "data": { "text/plain": [ - "8.7508537061809992" + "(521.0183492943637, 4.0328730764962595, 8.7508537061809992)" ] }, - "execution_count": 43, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -617,12 +1655,12 @@ "source": [ "sleeping = average_minutes(adults_with_no_children, \"010101\")\n", "sleepless = average_minutes(adults_with_no_children, \"010102\")\n", - "(sleeping + sleepless) / 60 # hours" + "sleeping, sleepless, (sleeping + sleepless) / 60 # hours" ] }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 24, "metadata": { "collapsed": false }, @@ -636,7 +1674,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 25, "metadata": { "collapsed": false }, @@ -647,7 +1685,7 @@ "['t010101', 't010102']" ] }, - "execution_count": 45, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -658,7 +1696,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 26, "metadata": { "collapsed": false }, @@ -677,40 +1715,46 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 27, "metadata": { "collapsed": false }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/clinton/src/github.com/tiyd-python-2015-05/atus-analysis/.direnv/python-3.4.3/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", - "A value is trying to be set on a copy of a slice from a DataFrame.\n", - "Try using .loc[row_indexer,col_indexer] = value instead\n", - "\n", - "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n" - ] - }, { "data": { "text/plain": [ - "8.750853706181001" + "{'t01': 'Personal Care',\n", + " 't02': 'Household Activities',\n", + " 't03': 'Caring For & Helping Household (HH) Members',\n", + " 't04': 'Caring For & Helping Nonhousehold (NonHH) Members',\n", + " 't05': 'Work & Work-Related Activities',\n", + " 't06': 'Education',\n", + " 't07': 'Consumer Purchases',\n", + " 't08': 'Professional & Personal Care Services',\n", + " 't09': 'Household Services',\n", + " 't10': 'Government Services & Civic Obligations',\n", + " 't11': 'Eating and Drinking',\n", + " 't12': 'Socializing, Relaxing, and Leisure',\n", + " 't13': 'Sports, Exercise, and Recreation',\n", + " 't14': 'Religious and Spiritual Activities',\n", + " 't15': 'Volunteer Activities',\n", + " 't16': 'Telephone Calls',\n", + " 't18': 'Traveling',\n", + " 't50': 'Data Codes'}" ] }, - "execution_count": 47, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "average_minutes2(adults_with_no_children, \"0101\") / 60" + "pa.categories" ] }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 28, "metadata": { "collapsed": false }, @@ -719,7 +1763,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/clinton/src/github.com/tiyd-python-2015-05/atus-analysis/.direnv/python-3.4.3/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", + "/usr/local/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -729,29 +1773,84 @@ { "data": { "text/plain": [ - "9.5541911543273592" + "8.750853706181001" ] }, - "execution_count": 48, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "average_minutes2(adults_with_no_children, \"01\") / 60" + "average_minutes2(adults_with_no_children, \"0101\") / 60" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 29, "metadata": { "collapsed": false }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ + "data": { + "text/plain": [ + "'Sleeping'" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.codes_dict['t0101']" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n" + ] + }, + { + "data": { + "text/plain": [ + "9.5541911543273592" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "average_minutes2(adults_with_no_children, \"01\") / 60" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ "Help on method groupby in module pandas.core.generic:\n", "\n", "groupby(by=None, axis=0, level=None, as_index=True, sort=True, group_keys=True, squeeze=False) method of pandas.core.frame.DataFrame instance\n", @@ -813,19 +1912,21 @@ }, { "cell_type": "code", - "execution_count": 53, + "execution_count": 32, "metadata": { "collapsed": false }, "outputs": [], "source": [ - "respondents = pd.read_csv(\"atusdata/atusresp_2013/atusresp_2013.dat\")\n", - "activities = pd.read_csv(\"atusdata/atusact_2013/atusact_2013.dat\")" + "respondents = open_atus_zip('atusresp_2013')\n", + "activities = open_atus_zip('atusact_2013')\n", + "# respondents = pd.read_csv(\"atusdata/atusresp_2013/atusresp_2013.dat\")\n", + "# activities = pd.read_csv(\"atusdata/atusact_2013/atusact_2013.dat\")" ] }, { "cell_type": "code", - "execution_count": 54, + "execution_count": 33, "metadata": { "collapsed": false }, @@ -848,7 +1949,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 34, "metadata": { "collapsed": false }, @@ -902,7 +2003,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 35, "metadata": { "collapsed": false }, @@ -972,447 +2073,2359 @@ " -1\n", " -1\n", " -1\n", - " -1\n", - " -1\n", - " 2\n", - " ...\n", - 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Americans >= 15 years old slept 8.7 hours, \n", + "2. spent 5.3 hours doing leisure/sports activities\n", + "3. 3.5 hours working\n", + "4. 1.8 hours doing household activities." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('tucaseid', 'atus_case_id'),\n", + " ('TUFINLWGT', 'atus_final_weight'),\n", + " ('TRYHHCHILD', 'youngest_child_age'),\n", + " ('TEAGE', 'age_edited'),\n", + " ('TESEX', 'gender'),\n", + " ('PEEDUCA', 'education_level'),\n", + " ('PTDTRACE', 'race'),\n", + " ('PEHSPNON', 'is_hispanic'),\n", + " ('GTMETSTA', 'metropolitan_status'),\n", + " ('TELFS', 'employment_status'),\n", + " ('TEMJOT', 'has_multiple_jobs'),\n", + " ('TRDPFTPT', 'work_status'),\n", + " ('TESCHENR', 'is_student'),\n", + " ('TESCHLVL', 'school_level'),\n", + " ('TRSPPRES', 'partner_present'),\n", + " ('TESPEMPNOT', 'partner_employed'),\n", + " ('TRERNWA', 'weekly_earnings_main'),\n", + " ('TRCHILDNUM', 'household_children'),\n", + " ('TRSPFTPT', 'partner_work_status'),\n", + " ('TEHRUSLT', 'weekly_hours_worked'),\n", + " ('TUDIARYDAY', 'date'),\n", + " ('TRHOLIDAY', 'is_holiday'),\n", + " ('TRTEC', 'eldercare_minutes'),\n", + " ('TRTHH', 'childcare_minutes'),\n", + " ('t010101', 'Sleeping'),\n", + " ('t010102', 'Sleeplessness'),\n", + " ('t010201', 'Washing, dressing and grooming oneself'),\n", + " ('t010299', 'Grooming, n.e.c.*'),\n", + " ('t010301', 'Health-related self care'),\n", + " ('t010399', 'Self care, n.e.c.*'),\n", + " ('t010401', 'Personal/Private activities'),\n", + " ('t020101', 'Interior cleaning'),\n", + " ('t020102', 'Laundry'),\n", + " ('t020103', 'Sewing, repairing, & maintaining textiles'),\n", + " ('t020104', 'Storing interior hh items, inc. food'),\n", + " ('t020199', 'Housework, n.e.c.*'),\n", + " ('t020201', 'Food and drink preparation'),\n", + " ('t020202', 'Food presentation'),\n", + " ('t020203', 'Kitchen and food clean-up'),\n", + " ('t020299', 'Food & drink prep, presentation, & clean-up, n.e.c.*'),\n", + " ('t020301', 'Interior arrangement, decoration, & repairs'),\n", + " ('t020302', 'Building and repairing furniture'),\n", + " ('t020303', 'Heating and cooling'),\n", + " ('t020399', 'Interior maintenance, repair, & decoration, n.e.c.*'),\n", + " ('t020401', 'Exterior cleaning'),\n", + " ('t020402', 'Exterior repair, improvements, & decoration'),\n", + " ('t020499', 'Exterior maintenance, repair & decoration, n.e.c.*'),\n", + " ('t020501', 'Lawn, garden, and houseplant care'),\n", + " ('t020502', 'Ponds, pools, and hot tubs'),\n", + " ('t020599', 'Lawn and garden, n.e.c.*'),\n", + " ('t020601', 'Care for animals and pets (not veterinary care)'),\n", + " ('t020602', 'Walking / exercising / playing with animals'),\n", + " ('t020699', 'Pet and animal care, n.e.c.*'),\n", + " ('t020701', 'Vehicle repair and maintenance (by self)'),\n", + " ('t020799', 'Vehicles, n.e.c.*'),\n", + " ('t020801',\n", + " 'Appliance, tool, and toy set-up, repair, & maintenance (by self)'),\n", + " ('t020899', 'Appliances and tools, n.e.c.*'),\n", + " ('t020901', 'Financial management'),\n", + " ('t020902', 'Household & personal organization and planning'),\n", + " ('t020903', 'HH & personal mail & messages (except e-mail)'),\n", + " ('t020904', 'HH & personal e-mail and messages'),\n", + " ('t020905', 'Home security'),\n", + " ('t020999', 'Household management, n.e.c.*'),\n", + " ('t029999', 'Household activities, n.e.c.*'),\n", + " ('t030101', 'Physical care for hh children'),\n", + " ('t030102', 'Reading to/with hh children'),\n", + " ('t030103', 'Playing with hh children, not sports'),\n", + " ('t030104', 'Arts and crafts with hh children'),\n", + " ('t030105', 'Playing sports with hh children'),\n", + " ('t030106', 'Talking with/listening to hh children'),\n", + " ('t030108', 'Organization & planning for hh children'),\n", + " ('t030109', 'Looking after hh children (as a primary activity)'),\n", + " ('t030110', \"Attending hh children's events\"),\n", + " ('t030111', 'Waiting for/with hh children'),\n", + " ('t030112', 'Picking up/dropping off hh children'),\n", + " ('t030199', 'Caring for & helping hh children, n.e.c.*'),\n", + " ('t030201', 'Homework (hh children)'),\n", + " ('t030202', 'Meetings and school conferences (hh children)'),\n", + " ('t030203', 'Home schooling of hh children'),\n", + " ('t030299', \"Activities related to hh child's education, n.e.c.*\"),\n", + " ('t030301', 'Providing medical care to hh children'),\n", + " ('t030302', 'Obtaining medical care for hh children'),\n", + " ('t030303', \"Waiting associated with hh children's health\"),\n", + " ('t030399', \"Activities related to hh child's health, n.e.c.*\"),\n", + " ('t030401', 'Physical care for hh adults'),\n", + " ('t030402', 'Looking after hh adult (as a primary activity)'),\n", + " ('t030403', 'Providing medical care to hh adult'),\n", + " ('t030404', 'Obtaining medical and care services for hh adult'),\n", + " ('t030405', 'Waiting associated with caring for household adults'),\n", + " ('t030499', 'Caring for household adults, n.e.c.*'),\n", + " ('t030501', 'Helping hh adults'),\n", + " ('t030502', 'Organization & planning for hh adults'),\n", + " ('t030503', 'Picking up/dropping off hh adult'),\n", + " ('t030504', 'Waiting associated with helping hh adults'),\n", + " ('t030599', 'Helping household adults, n.e.c.*'),\n", + " ('t039999', 'Caring for & helping hh members, n.e.c.*'),\n", + " ('t040101', 'Physical care for nonhh children'),\n", + " ('t040102', 'Reading to/with nonhh children'),\n", + " ('t040103', 'Playing with nonhh children, not sports'),\n", + " ('t040104', 'Arts and crafts with nonhh children'),\n", + " ('t040105', 'Playing sports with nonhh children'),\n", + " ('t040106', 'Talking with/listening to nonhh children'),\n", + " ('t040108', 'Organization & planning for nonhh children'),\n", + " ('t040109', 'Looking after nonhh children (as primary activity)'),\n", + " ('t040110', \"Attending nonhh children's events\"),\n", + " ('t040111', 'Waiting for/with nonhh children'),\n", + " ('t040112', 'Dropping off/picking up nonhh children'),\n", + " ('t040199', 'Caring for and helping nonhh children, n.e.c.*'),\n", + " ('t040201', 'Homework (nonhh children)'),\n", + " ('t040299', \"Activities related to nonhh child's educ., n.e.c.*\"),\n", + " ('t040301', 'Providing medical care to nonhh children'),\n", + " ('t040302', 'Obtaining medical care for nonhh children'),\n", + " ('t040401', 'Physical care for nonhh adults'),\n", + " ('t040402', 'Looking after nonhh adult (as a primary activity)'),\n", + " ('t040403', 'Providing medical care to nonhh adult'),\n", + " ('t040404', 'Obtaining medical and care services for nonhh adult'),\n", + " ('t040405', 'Waiting associated with caring for nonhh adults'),\n", + " ('t040499', 'Caring for nonhh adults, n.e.c.*'),\n", + " ('t040501', 'Housework, cooking, & shopping assistance for nonhh adults'),\n", + " ('t040502', 'House & lawn maintenance & repair assistance for nonhh adults'),\n", + " ('t040503', 'Animal & pet care assistance for nonhh adults'),\n", + " ('t040504',\n", + " 'Vehicle & appliance maintenance/repair assistance for nonhh adults'),\n", + " ('t040505', 'Financial management assistance for nonhh adults'),\n", + " ('t040506', 'Household management & paperwork assistance for nonhh adults'),\n", + " ('t040507', 'Picking up/dropping off nonhh adult'),\n", + " ('t040508', 'Waiting associated with helping nonhh adults'),\n", + " ('t040599', 'Helping nonhh adults, n.e.c.*'),\n", + " ('t050101', 'Work, main job'),\n", + " ('t050102', 'Work, other job(s)'),\n", + " ('t050103', 'Security procedures related to work'),\n", + " ('t050104', 'Waiting associated with working'),\n", + " ('t050199', 'Working, n.e.c.*'),\n", + " ('t050201', 'Socializing, relaxing, and leisure as part of job'),\n", + " ('t050202', 'Eating and drinking as part of job'),\n", + " ('t050205', 'Waiting associated with work-related activities'),\n", + " ('t050301', 'Income-generating hobbies, crafts, and food'),\n", + " ('t050302', 'Income-generating performances'),\n", + " ('t050303', 'Income-generating services'),\n", + " ('t050304', 'Income-generating rental property activities'),\n", + " ('t050305', 'Waiting associated with other income-generating activities'),\n", + " ('t050399', 'Other income-generating activities, n.e.c.*'),\n", + " ('t050401', 'Job search activities'),\n", + " ('t050403', 'Job interviewing'),\n", + " ('t050404', 'Waiting associated with job search or interview'),\n", + " ('t059999', 'Work and work-related activities, n.e.c.*'),\n", + " ('t060101', 'Taking class for degree, certification, or licensure'),\n", + " ('t060102', 'Taking class for personal interest'),\n", + " ('t060103', 'Waiting associated with taking classes'),\n", + " ('t060199', 'Taking class, n.e.c.*'),\n", + " ('t060201', 'Extracurricular club activities'),\n", + " ('t060202', 'Extracurricular music & performance activities'),\n", + " ('t060299', 'Education-related extracurricular activities, n.e.c.*'),\n", + " ('t060301',\n", + " 'Research/homework for class for degree, certification, or licensure'),\n", + " ('t060302', 'Research/homework for class for pers. interest'),\n", + " ('t060303', 'Waiting associated with research/homework'),\n", + " ('t060399', 'Research/homework n.e.c.*'),\n", + " ('t060401',\n", + " 'Administrative activities: class for degree, certification, or licensure'),\n", + " ('t060402', 'Administrative activities: class for personal interest'),\n", + " ('t060403', 'Waiting associated w/admin. activities (education)'),\n", + " ('t060499', 'Administrative for education, n.e.c.*'),\n", + " ('t069999', 'Education, n.e.c.*'),\n", + " ('t070101', 'Grocery shopping'),\n", + " ('t070102', 'Purchasing gas'),\n", + " ('t070103', 'Purchasing food (not groceries)'),\n", + " ('t070104', 'Shopping, except groceries, food and gas'),\n", + " ('t070105', 'Waiting associated with shopping'),\n", + " ('t070201', 'Comparison shopping'),\n", + " ('t080101', 'Using paid childcare services'),\n", + " ('t080201', 'Banking'),\n", + " ('t080202', 'Using other financial services'),\n", + " ('t080203', 'Waiting associated w/banking/financial services'),\n", + " ('t080301', 'Using legal services'),\n", + " ('t080401', 'Using health and care services outside the home'),\n", + " ('t080402', 'Using in-home health and care services'),\n", + " ('t080403', 'Waiting associated with medical services'),\n", + " ('t080499', 'Using medical services, n.e.c.*'),\n", + " ('t080501', 'Using personal care services'),\n", + " ('t080502', 'Waiting associated w/personal care services'),\n", + " ('t080601', 'Activities rel. to purchasing/selling real estate'),\n", + " ('t080602', 'Waiting associated w/purchasing/selling real estate'),\n", + " ('t080701', 'Using veterinary services'),\n", + " ('t080702', 'Waiting associated with veterinary services'),\n", + " ('t089999', 'Professional and personal services, n.e.c.*'),\n", + " ('t090101', 'Using interior cleaning services'),\n", + " ('t090103', 'Using clothing repair and cleaning services'),\n", + " ('t090199', 'Using household services, n.e.c.*'),\n", + " ('t090201', 'Using home maint/repair/décor/construction svcs'),\n", + " ('t090202', 'Waiting associated w/ home main/repair/décor/constr'),\n", + " ('t090301', 'Using pet services'),\n", + " ('t090302', 'Waiting associated with pet services'),\n", + " ('t090399', 'Using pet services, n.e.c.*'),\n", + " ('t090401', 'Using lawn and garden services'),\n", + " ('t090499', 'Using lawn and garden services, n.e.c.*'),\n", + " ('t090501', 'Using vehicle maintenance or repair services'),\n", + " ('t090502', 'Waiting associated with vehicle main. or repair svcs'),\n", + " ('t090599', 'Using vehicle maint. & repair svcs, n.e.c.*'),\n", + " ('t099999', 'Using household services, n.e.c.*'),\n", + " ('t100101', 'Using police and fire services'),\n", + " ('t100102', 'Using social services'),\n", + " ('t100103', 'Obtaining licenses & paying fines, fees, taxes'),\n", + " ('t100199', 'Using government services, n.e.c.*'),\n", + " ('t100201', 'Civic obligations & participation'),\n", + " ('t100304', 'Waiting associated with using government services'),\n", + " ('t100499',\n", + " 'Security procedures rel. to govt svcs/civic obligations, n.e.c.*'),\n", + " ('t109999', 'Government services, n.e.c.*'),\n", + " ('t110101', 'Eating and drinking'),\n", + " ('t110201', 'Waiting associated w/eating & drinking'),\n", + " ('t120101', 'Socializing and communicating with others'),\n", + " ('t120201', 'Attending or hosting parties/receptions/ceremonies'),\n", + " ('t120202', 'Attending meetings for personal interest (not volunteering)'),\n", + " ('t120299', 'Attending/hosting social events, n.e.c.*'),\n", + " ('t120301', 'Relaxing, thinking'),\n", + " ('t120302', 'Tobacco and drug use'),\n", + " ('t120303', 'Television and movies (not religious)'),\n", + " ('t120304', 'Television (religious)'),\n", + " ('t120305', 'Listening to the radio'),\n", + " ('t120306', 'Listening to/playing music (not radio)'),\n", + " ('t120307', 'Playing games'),\n", + " ('t120308', 'Computer use for leisure (excluding games)'),\n", + " ('t120309', 'Arts and crafts as a hobby'),\n", + " ('t120310', 'Collecting as a hobby'),\n", + " ('t120311', 'Hobbies, except arts & crafts and collecting'),\n", + " ('t120312', 'Reading for personal interest'),\n", + " ('t120313', 'Writing for personal interest'),\n", + " ('t120399', 'Relaxing and leisure, n.e.c.*'),\n", + " ('t120401', 'Attending performing arts'),\n", + " ('t120402', 'Attending museums'),\n", + " ('t120403', 'Attending movies/film'),\n", + " ('t120404', 'Attending gambling establishments'),\n", + " ('t120499', 'Arts and entertainment, n.e.c.*'),\n", + " ('t120501', 'Waiting assoc. w/socializing & communicating'),\n", + " ('t120502', 'Waiting assoc. w/attending/hosting social events'),\n", + " ('t120503', 'Waiting associated with relaxing/leisure'),\n", + " ('t120504', 'Waiting associated with arts & entertainment'),\n", + " ('t120599', 'Waiting associated with socializing, n.e.c.*'),\n", + " ('t129999', 'Socializing, relaxing, and leisure, n.e.c.*'),\n", + " ('t130101', 'Doing aerobics'),\n", + " ('t130102', 'Playing baseball'),\n", + " ('t130103', 'Playing basketball'),\n", + " ('t130104', 'Biking'),\n", + " ('t130105', 'Playing billiards'),\n", + " ('t130106', 'Boating'),\n", + " ('t130107', 'Bowling'),\n", + " ('t130108', 'Climbing, spelunking, caving'),\n", + " ('t130109', 'Dancing'),\n", + " ('t130110', 'Participating in equestrian sports'),\n", + " ('t130112', 'Fishing'),\n", + " ('t130113', 'Playing football'),\n", + " ('t130114', 'Golfing'),\n", + " ('t130115', 'Doing gymnastics'),\n", + " ('t130116', 'Hiking'),\n", + " ('t130117', 'Playing hockey'),\n", + " ('t130118', 'Hunting'),\n", + " ('t130119', 'Participating in martial arts'),\n", + " ('t130120', 'Playing racquet sports'),\n", + " ('t130122', 'Rollerblading'),\n", + " ('t130123', 'Playing rugby'),\n", + " ('t130124', 'Running'),\n", + " ('t130125', 'Skiing, ice skating, snowboarding'),\n", + " ('t130126', 'Playing soccer'),\n", + " ('t130127', 'Softball'),\n", + " ('t130128', 'Using cardiovascular equipment'),\n", + " ('t130129', 'Vehicle touring/racing'),\n", + " ('t130130', 'Playing volleyball'),\n", + " ('t130131', 'Walking'),\n", + " ('t130132', 'Participating in water sports'),\n", + " ('t130133', 'Weightlifting/strength training'),\n", + " ('t130134', 'Working out, unspecified'),\n", + " ('t130135', 'Wrestling'),\n", + " ('t130136', 'Doing yoga'),\n", + " ('t130199', 'Playing sports n.e.c.*'),\n", + " ('t130202', 'Watching baseball'),\n", + " ('t130203', 'Watching basketball'),\n", + " ('t130205', 'Watching billiards'),\n", + " ('t130206', 'Watching boating'),\n", + " ('t130207', 'Watching bowling'),\n", + " ('t130210', 'Watching equestrian sports'),\n", + " ('t130213', 'Watching football'),\n", + " ('t130215', 'Watching gymnastics'),\n", + " ('t130216', 'Watching hockey'),\n", + " ('t130218', 'Watching racquet sports'),\n", + " ('t130219', 'Watching rodeo competitions'),\n", + " ('t130220', 'Watching rollerblading'),\n", + " ('t130221', 'Watching rugby'),\n", + " ('t130222', 'Watching running'),\n", + " ('t130223', 'Watching skiing, ice skating, snowboarding'),\n", + " ('t130224', 'Watching soccer'),\n", + " ('t130225', 'Watching softball'),\n", + " ('t130226', 'Watching vehicle touring/racing'),\n", + " ('t130227', 'Watching volleyball'),\n", + " ('t130229', 'Watching water sports'),\n", + " ('t130232', 'Watching wrestling'),\n", + " ('t130299', 'Attending sporting events, n.e.c.*'),\n", + " ('t130301', 'Waiting related to playing sports or exercising'),\n", + " ('t130302', 'Waiting related to attending sporting events'),\n", + " ('t139999', 'Sports, exercise, & recreation, n.e.c.*'),\n", + " ('t140101', 'Attending religious services'),\n", + " ('t140102', 'Participation in religious practices'),\n", + " ('t140103', 'Waiting associated w/religious & spiritual activities'),\n", + " ('t140105', 'Religious education activities'),\n", + " ('t149999', 'Religious and spiritual activities, n.e.c.*'),\n", + " ('t150101', 'Computer use'),\n", + " ('t150102', 'Organizing and preparing'),\n", + " ('t150103', 'Reading'),\n", + " ('t150104', 'Telephone calls (except hotline counseling)'),\n", + " ('t150105', 'Writing'),\n", + " ('t150106', 'Fundraising'),\n", + " ('t150199', 'Administrative & support activities, n.e.c.*'),\n", + " ('t150201', 'Food preparation, presentation, clean-up'),\n", + " ('t150202', 'Collecting & delivering clothing & other goods'),\n", + " ('t150203', 'Providing care'),\n", + " ('t150204', 'Teaching, leading, counseling, mentoring'),\n", + " ('t150299', 'Social service & care activities, n.e.c.*'),\n", + " ('t150301', 'Building houses, wildlife sites, & other structures'),\n", + " ('t150302', 'Indoor & outdoor maintenance, repair, & clean-up'),\n", + " ('t150399',\n", + " 'Indoor & outdoor maintenance, building & clean-up activities, n.e.c.*'),\n", + " ('t150401', 'Performing'),\n", + " ('t150402', 'Serving at volunteer events & cultural activities'),\n", + " ('t150499', 'Participating in performance & cultural activities, n.e.c.*'),\n", + " ('t150501', 'Attending meetings, conferences, & training'),\n", + " ('t150599', 'Attending meetings, conferences, & training, n.e.c.*'),\n", + " ('t150601', 'Public health activities'),\n", + " ('t150602', 'Public safety activities'),\n", + " ('t150699', 'Public health & safety activities, n.e.c.*'),\n", + " ('t150701', 'Waiting associated with volunteer activities'),\n", + " ('t150801', 'Security procedures related to volunteer activities'),\n", + " ('t159999', 'Volunteer activities, n.e.c.*'),\n", + " ('t160101', 'Telephone calls to/from family members'),\n", + " ('t160102', 'Telephone calls to/from friends, neighbors, or acquaintances'),\n", + " ('t160103', 'Telephone calls to/from education services providers'),\n", + " ('t160104', 'Telephone calls to/from salespeople'),\n", + " ('t160105',\n", + " 'Telephone calls to/from professional or personal care svcs providers'),\n", + " ('t160106', 'Telephone calls to/from household services providers'),\n", + " ('t160107', 'Telephone calls to/from paid child or adult care providers'),\n", + " ('t160108', 'Telephone calls to/from government officials'),\n", + " ('t160199', 'Telephone calls (to or from), n.e.c.*'),\n", + " ('t160201', 'Waiting associated with telephone calls'),\n", + " ('t169999', 'Telephone calls, n.e.c.*'),\n", + " ('t180101', 'Travel related to personal care'),\n", + " ('t180199', 'Travel related to personal care, n.e.c.*'),\n", + " ('t180201', 'Travel related to housework'),\n", + " ('t180202', 'Travel related to food & drink prep., clean-up, & presentation'),\n", + " ('t180203', 'Travel related to interior maintenance, repair, & decoration'),\n", + " ('t180204', 'Travel related to exterior maintenance, repair, & decoration'),\n", + " ('t180205', 'Travel related to lawn, garden, and houseplant care'),\n", + " ('t180206', 'Travel related to care for animals and pets (not vet care)'),\n", + " ('t180207', 'Travel related to vehicle care & maintenance (by self)'),\n", + " ('t180208',\n", + " 'Travel related to appliance, tool, and toy set-up, repair, & maintenance (by self)'),\n", + " ('t180209', 'Travel related to household management'),\n", + " ('t180299', 'Travel related to household activities, n.e.c.*'),\n", + " ('t180301', 'Travel related to caring for & helping hh children'),\n", + " ('t180302', \"Travel related to hh children's education\"),\n", + " ('t180303', \"Travel related to hh children's health\"),\n", + " ('t180304', 'Travel related to caring for hh adults'),\n", + " ('t180305', 'Travel related to helping hh adults'),\n", + " ('t180401', 'Travel related to caring for and helping nonhh children'),\n", + " ('t180402', \"Travel related to nonhh children's education\"),\n", + " ('t180403', \"Travel related to nonhh children's health\"),\n", + " ('t180404', 'Travel related to caring for nonhh adults'),\n", + " ('t180405', 'Travel related to helping nonhh adults'),\n", + " ('t180501', 'Travel related to working'),\n", + " ('t180502', 'Travel related to work-related activities'),\n", + " ('t180503', 'Travel related to income-generating activities'),\n", + " ('t180504', 'Travel related to job search & interviewing'),\n", + " ('t180599', 'Travel related to work, n.e.c.*'),\n", + " ('t180601', 'Travel related to taking class'),\n", + " ('t180602', 'Travel related to extracurricular activities (ex. Sports)'),\n", + " ('t180603', 'Travel related to research/homework'),\n", + " ('t180604', 'Travel related to registration/administrative activities'),\n", + " ('t180699', 'Travel related to education, n.e.c.*'),\n", + " ('t180701', 'Travel related to grocery shopping'),\n", + " ('t180702', 'Travel related to purchasing gas'),\n", + " ('t180703', 'Travel related to purchasing food (not groceries)'),\n", + " ('t180704', 'Travel related to shopping, ex groceries, food, and gas'),\n", + " ('t180799', 'Travel related to consumer purchases, n.e.c.*'),\n", + " ('t180801', 'Travel related to using childcare services'),\n", + " ('t180802', 'Travel related to using financial services and banking'),\n", + " ('t180803', 'Travel related to using legal services'),\n", + " ('t180804', 'Travel related to using medical services'),\n", + " ('t180805', 'Travel related to using personal care services'),\n", + " ('t180806', 'Travel related to using real estate services'),\n", + " ('t180807', 'Travel related to using veterinary services'),\n", + " ('t180899', 'Travel rel. to using prof. & personal care services, n.e.c.*'),\n", + " ('t180901', 'Travel related to using household services'),\n", + " ('t180902',\n", + " 'Travel related to using home main./repair/décor./construction svcs'),\n", + " ('t180903', 'Travel related to using pet services (not vet)'),\n", + " ('t180904', 'Travel related to using lawn and garden services'),\n", + " ('t180905', 'Travel related to using vehicle maintenance & repair services'),\n", + " ('t180999', 'Travel related to using household services, n.e.c.*'),\n", + " ('t181001', 'Travel related to using government services'),\n", + " ('t181002', 'Travel related to civic obligations & participation'),\n", + " ('t181099', 'Travel rel. to govt svcs & civic obligations, n.e.c.*'),\n", + " ('t181101', 'Travel related to eating and drinking'),\n", + " ('t181201', 'Travel related to socializing and communicating'),\n", + " ('t181202', 'Travel related to attending or hosting social events'),\n", + " ('t181203', 'Travel related to relaxing and leisure'),\n", + " ('t181204', 'Travel related to arts and entertainment'),\n", + " ('t181205', 'Travel as a form of entertainment'),\n", + " ('t181299', 'Travel rel. to socializing, relaxing, & leisure, n.e.c.*'),\n", + " ('t181301', 'Travel related to participating in sports/exercise/recreation'),\n", + " ('t181302', 'Travel related to attending sporting/recreational events'),\n", + " ('t181401', 'Travel related to religious/spiritual practices'),\n", + " ('t181499', 'Travel rel. to religious/spiritual activities, n.e.c.*'),\n", + " ('t181501', 'Travel related to volunteering'),\n", + " ('t181599', 'Travel related to volunteer activities, n.e.c.*'),\n", + " ('t181601', 'Travel related to phone calls'),\n", + " ('t181801', 'Security procedures related to traveling'),\n", + " ('t189999', 'Traveling, n.e.c.*'),\n", + " ('t500101', 'Insufficient detail in verbatim'),\n", + " ('t500103', 'Missing travel or destination'),\n", + " ('t500105',\n", + " 'Respondent refused to provide information/\"none of your business\"'),\n", + " ('t500106', \"Gap/can't remember\"),\n", + " ('t500107', 'Unable to code activity at 1st tier')]" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "s = summary3 # The dataframe with meaningful column names\n", + "[col for col in s.columns if not col[1].startswith('t')] # the summary demographic information about respondents" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'t01': 'Personal Care',\n", + " 't02': 'Household Activities',\n", + " 't03': 'Caring For & Helping Household (HH) Members',\n", + " 't04': 'Caring For & Helping Nonhousehold (NonHH) Members',\n", + " 't05': 'Work & Work-Related Activities',\n", + " 't06': 'Education',\n", + " 't07': 'Consumer Purchases',\n", + " 't08': 'Professional & Personal Care Services',\n", + " 't09': 'Household Services',\n", + " 't10': 'Government Services & Civic Obligations',\n", + " 't11': 'Eating and Drinking',\n", + " 't12': 'Socializing, Relaxing, and Leisure',\n", + " 't13': 'Sports, Exercise, and Recreation',\n", + " 't14': 'Religious and Spiritual Activities',\n", + " 't15': 'Volunteer Activities',\n", + " 't16': 'Telephone Calls',\n", + " 't18': 'Traveling',\n", + " 't50': 'Data Codes'}" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.categories # The major categories of activities" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'Sleeping'" + ] + }, + "execution_count": 44, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.sub_categories['t0101']" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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tucaseidTUFINLWGTTRYHHCHILDTEAGETESEXPEEDUCAPTDTRACEPEHSPNONGTMETSTATELFS...t181501t181599t181601t181801t189999t500101t500103t500105t500106t500107
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5 rows × 413 columns

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" + ], + "text/plain": [ + " tucaseid TUFINLWGT TRYHHCHILD TEAGE TESEX PEEDUCA \\\n", + "0 20130101130004 11899905.662034 12 22 2 40 \n", + "1 20130101130112 4447638.009513 1 39 1 43 \n", + "2 20130101130123 10377056.507734 -1 47 2 40 \n", + "3 20130101130611 7731257.992805 -1 50 2 40 \n", + "4 20130101130616 4725269.227067 -1 45 2 40 \n", + "\n", + " PTDTRACE PEHSPNON GTMETSTA TELFS ... t181501 t181599 t181601 \\\n", + "0 8 2 1 5 ... 0 0 0 \n", + "1 1 2 1 1 ... 0 0 0 \n", + "2 1 2 1 4 ... 25 0 0 \n", + "3 1 1 1 1 ... 0 0 0 \n", + "4 2 2 1 1 ... 0 0 0 \n", + "\n", + " t181801 t189999 t500101 t500103 t500105 t500106 t500107 \n", + "0 0 0 0 0 0 0 0 \n", + "1 0 0 0 0 0 0 0 \n", + "2 0 0 0 0 0 0 0 \n", + "3 0 0 0 0 0 0 0 \n", + "4 0 0 0 0 0 0 0 \n", + "\n", + "[5 rows x 413 columns]" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "avg_american_crit = summary.TEAGE >= 15\n", + "american = s[avg_american_crit]\n", + "a = american\n", + "b = a\n", + "b.columns = a.columns.droplevel(1) # To remove MultiIndex\n", + "a.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "['t010102', 't010101']" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def search_codes(text):\n", + " results = []\n", + " for k,v in pa.codes_dict.items():\n", + " #print(v)\n", + " if re.search(text, v.lower()):\n", + " results.append((k,v))\n", + " return results\n", + "def pick_activities(text, desc=False):\n", + " \"\"\"\n", + " Returns activity codes with text in description\n", + " If desc=True, returns the description instead\n", + " \"\"\"\n", + " if desc:\n", + " item = 1\n", + " else:\n", + " item = 0\n", + " return [i[item] for i in search_codes(text) if len(i[0])==7]\n", + " \n", + "search_codes('sleep')\n", + "sleep_activities = pick_activities('sleep')\n", + "sleep_activities = sleep_activities[1:] ##t010199 not in summary for some reason\n", + "sleep_activities\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def sum_cols(col_list):\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "8.7381765406301852" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#c = b.groupby('tucaseid')[sleep_activities]\n", + "c = b.set_index('tucaseid')\n", + "d = c[sleep_activities].sum(axis=1) * c.TUFINLWGT\n", + "d.sum() / c.TUFINLWGT.sum() / 60\n", + "# [sleep_activities.extend]#.groupby('tucaseid')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ Test 1/4 passed ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('t181399', 'Travel related to sports, exercise, & recreation, n.e.c.*'),\n", + " ('t130399',\n", + " 'Waiting associated with sports, exercise, & recreation, n.e.c.*'),\n", + " ('t030103', 'Playing with hh children, not sports'),\n", + " ('t130132', 'Participating in water sports'),\n", + " ('t130199', 'Playing sports n.e.c.*'),\n", + " ('t1304', 'Security Procedures Rel. to Sports, Exercise, & Recreation'),\n", + " ('t130218', 'Watching racquet sports'),\n", + " ('t130499', 'Security related to sports, exercise, & recreation, n.e.c.*'),\n", + " ('t1204', 'Arts and Entertainment (other than sports)'),\n", + " ('t050203', 'Sports and exercise as part of job'),\n", + " ('t130401', 'Security related to playing sports or exercising'),\n", + " ('t139999', 'Sports, exercise, & recreation, n.e.c.*'),\n", + " ('t0602', 'Extracurricular School Activities (Except Sports)'),\n", + " ('t040105', 'Playing sports with nonhh children'),\n", + " ('t130210', 'Watching equestrian sports'),\n", + " ('t130120', 'Playing racquet sports'),\n", + " ('t130229', 'Watching water sports'),\n", + " ('t180602', 'Travel related to extracurricular activities (ex. Sports)'),\n", + " ('t1301', 'Participating in Sports, Exercise, or Recreation'),\n", + " ('t130301', 'Waiting related to playing sports or exercising'),\n", + " ('t130110', 'Participating in equestrian sports'),\n", + " ('t1399', 'Sports, Exercise, & Recreation, n.e.c.*'),\n", + " ('t13', 'Sports, Exercise, and Recreation'),\n", + " ('t1813', 'Travel Related to Sports, Exercise, & Recreation'),\n", + " ('t040103', 'Playing with nonhh children, not sports'),\n", + " ('t1303', 'Waiting Associated with Sports, Exercise, & Recreation'),\n", + " ('t181301', 'Travel related to participating in sports/exercise/recreation'),\n", + " ('t030105', 'Playing sports with hh children')]" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "search_codes('leisure') # t12----\n", + "search_codes('sports') # t13----\n", + "#pick_activities('leisure')" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "5.0343812445470784" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "snl = activity_columns(b, \"12\")\n", + "snl.extend(activity_columns(b, \"13\"))\n", + "#snl.extend(['t030105'])\n", + "e = b.set_index('tucaseid')\n", + "f = e[snl].rename(columns=pa.codes_dict)\n", + "g = f.sum(axis=1) * e.TUFINLWGT\n", + "g.sum() / c.TUFINLWGT.sum() / 60\n", + "# Matches: average_minutes2(b, \"12\") / 60 + average_minutes2(b, \"13\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ 2/4 (close, but got 5.04 instead of 5.3...) ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n" + ] + }, + { + "data": { + "text/plain": [ + "3.2018469853082667" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "search_codes('work') # t05\n", + "average_minutes2(b, \"05\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ close to 3.5 hours expected ^^" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/usr/local/lib/python3.4/site-packages/IPython/kernel/__main__.py:6: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n" + ] + }, + { + "data": { + "text/plain": [ + "1.7825438820657689" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pa.categories['t02']\n", + "average_minutes2(b, \"02\") / 60" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "^^ 4/4 matches 1.8 hours ^^" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##Now for some basic analyses using the summary data\n", + "###Let's define some useful selection criteria" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[('atus_case_id', 'tucaseid'),\n", + " ('atus_final_weight', 'TUFINLWGT'),\n", + " ('youngest_child_age', 'TRYHHCHILD'),\n", + " ('age_edited', 'TEAGE'),\n", + " ('gender', 'TESEX'),\n", + " ('education_level', 'PEEDUCA'),\n", + " ('race', 'PTDTRACE'),\n", + " ('is_hispanic', 'PEHSPNON'),\n", + " ('metropolitan_status', 'GTMETSTA'),\n", + " ('employment_status', 'TELFS'),\n", + " ('has_multiple_jobs', 'TEMJOT'),\n", + " ('work_status', 'TRDPFTPT'),\n", + " ('is_student', 'TESCHENR'),\n", + " ('school_level', 'TESCHLVL'),\n", + " ('partner_present', 'TRSPPRES'),\n", + " ('partner_employed', 'TESPEMPNOT'),\n", + " ('weekly_earnings_main', 'TRERNWA'),\n", + " ('household_children', 'TRCHILDNUM'),\n", + " ('partner_work_status', 'TRSPFTPT'),\n", + " ('weekly_hours_worked', 'TEHRUSLT'),\n", + " ('date', 'TUDIARYDAY'),\n", + " ('is_holiday', 'TRHOLIDAY'),\n", + " ('eldercare_minutes', 'TRTEC'),\n", + " ('childcare_minutes', 'TRTHH')]" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "list(zip(meanings_unsorted, summary.columns[:24]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + " summary.groupby('TRYHHCHILD').size()[1:].plot(kind='bar',title='Youngest Child Age')\n", + "### Youngest child ranges from 0 to 17, with > 200 observations at each age" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "adults = summary[summary.TEAGE > 17]\n", + "newborn_parents = adults[adults.TRYHHCHILD == 0].set_index('tucaseid')\n", + "non_parents = adults[adults.TRYHHCHILD == -1].set_index('tucaseid')\n", + "# dir(summary.groupby('TRYHHCHILD'))\n", + "# summary.groupby('TRYHHCHILD')\n", + "cols = [col for col in newborn_parents]\n", + "# for col in cols[2:]:\n", + "# newborn_parents[col] = weighted_col(newborn_parents, col)\n", + "# newborn_parents['t010101'] = weighted_col(newborn_parents, 't010101')\n", + "# newborn_parents['t010101']\n", + "# newborn_parents" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0019294840010831" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "nonp_sleeping = average_minutes(non_parents, '010101')\n", + "newp_sleeping = average_minutes(newborn_parents, '010101')\n", + "nonp_sleeping/newp_sleeping\n", + "# This does not make sense!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "###Quick Analysis -- What is the maximum time anyone spends on each category?" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "s = summary.set_index('tucaseid')\n", + "\n", + "def one_track_minds(s):\n", + " \"\"\"Returns users with maximum for each activity code, requires s summary dataframe\"\"\"\n", + " s = summary.set_index('tucaseid')\n", + " # s.t010101.max()/60\n", + " # s.t010101.idxmax()\n", + " extreme_ppl = []\n", + " for activity in s.columns[23:]:\n", + " person = s[activity].idxmax()\n", + " minutes = s.loc[person, activity]\n", + " extreme_ppl.append((person, minutes/60, activity, pa.codes_dict[activity]))\n", + " xp = pd.DataFrame(extreme_ppl, columns=['tucaseid', 'hours', 'activity', 'description']).set_index('tucaseid')\n", + " #xp.sort('minutes') # Some of the least popular activities include \"Public health activities, and several n.e.c* labels\n", + " xp = xp.sort('hours', ascending=False)\n", + " return xp\n", + "xp = one_track_minds(s)\n", + "# [user_report(s,i[0]) for i in xp.iloc[0:50].iterrows()]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def user_report(df, user=20131110131406):\n", + " \"\"\"Takes a dataframe of activity times and returns hours spend per day for each non-zero value\"\"\"\n", + " stats = df.loc[user][:23]\n", + " time = df.loc[user][23:]\n", + " time_use = time[time != 0].rename(pa.codes_dict)\n", + " hours = pd.DataFrame((time_use / 60))\n", + " bio = pd.DataFrame(stats).rename(summary_columns)\n", + "# hours.plot(kind='pie', subplots=True)\n", + " return hours, bio\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": { + "collapsed": false, + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for user in [user for user in xp.index][:20]:\n", + " hours, bio = user_report(s, user)\n", + "plt.figure(figsize=(20,10))# hours.plot(kind='pie', subplots=True)\n", + "# plt.plot?" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "xp = one_track_minds(s)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" ], "text/plain": [ - " TUCASEID TUACTIVITY_N TEWHERE TRTCCTOT_LN TRTCC_LN TRTCOC_LN \\\n", - "0 20130101130004 1 -1 0 0 0 \n", - "1 20130101130004 2 1 5 5 0 \n", - "2 20130101130004 3 1 120 120 0 \n", - "3 20130101130004 4 1 0 0 0 \n", - "4 20130101130004 5 1 30 30 0 \n", + " hours activity description \\\n", + "tucaseid \n", + "20131110131406 23.550000 t010101 Sleeping \n", + "20130807132371 22.500000 t050101 Work, main job \n", + "20130807132365 22.000000 t500101 Insufficient detail in verbatim \n", + "20131009131778 21.816667 t120303 Television and movies (not religious) \n", + "20130605131901 21.050000 t120312 Reading for personal interest \n", + "20130201131342 20.500000 t030401 Physical care for hh adults \n", + "20130212121071 19.716667 t120301 Relaxing, thinking \n", + "20130302130037 19.583333 t020103 Sewing, repairing, & maintaining textiles \n", + "20130908131014 19.000000 t030101 Physical care for hh children \n", + "20130706131713 18.750000 t130199 Playing sports n.e.c.* \n", "\n", - " TRTEC_LN TRTHH_LN TRTNOHH_LN TRTOHH_LN ... TUDURSTOP TUEC24 \\\n", - "0 -1 0 0 -1 ... 2 -1 \n", - "1 -1 5 5 -1 ... 1 -1 \n", - "2 -1 120 120 -1 ... 1 -1 \n", - "3 -1 0 0 -1 ... 2 -1 \n", - "4 -1 30 30 -1 ... 1 -1 \n", + " atus_final_weight youngest_child_age age_edited gender \\\n", + "tucaseid \n", + "20131110131406 1899058.155655 -1 52 2 \n", + "20130807132371 3107214.726310 9 47 1 \n", + "20130807132365 3345022.104425 2 32 1 \n", + "20131009131778 3495526.270281 -1 63 1 \n", + "20130605131901 2218752.415573 -1 85 1 \n", + "20130201131342 4884344.681430 -1 58 2 \n", + "20130212121071 6002226.550923 -1 80 1 \n", + "20130302130037 1940694.543983 -1 65 2 \n", + "20130908131014 7872288.902837 0 30 2 \n", + "20130706131713 7485472.098981 -1 55 1 \n", "\n", - " TUSTARTTIM TUSTOPTIME TUTIER1CODE TUTIER2CODE TUTIER3CODE TRCODE \\\n", - "0 04:00:00 12:00:00 1 1 1 10101 \n", - "1 12:00:00 12:05:00 11 1 1 110101 \n", - "2 12:05:00 14:05:00 12 3 3 120303 \n", - "3 14:05:00 19:00:00 6 3 1 60301 \n", - "4 19:00:00 19:30:00 11 1 1 110101 \n", + " education_level race is_hispanic metropolitan_status \\\n", + "tucaseid \n", + "20131110131406 39 2 2 1 \n", + "20130807132371 43 1 1 1 \n", + "20130807132365 40 1 2 1 \n", + "20131009131778 38 2 2 1 \n", + "20130605131901 40 1 2 1 \n", + "20130201131342 43 1 2 1 \n", + "20130212121071 38 1 2 1 \n", + "20130302130037 36 1 2 2 \n", + "20130908131014 43 1 2 1 \n", + "20130706131713 38 1 2 1 \n", "\n", - " TRTIER2 TXWHERE \n", - "0 101 0 \n", - "1 1101 0 \n", - "2 1203 0 \n", - "3 603 0 \n", - "4 1101 0 \n", + " employment_status has_multiple_jobs work_status is_student \\\n", + "tucaseid \n", + "20131110131406 1 2 1 -1 \n", + "20130807132371 1 2 1 2 \n", + "20130807132365 1 2 1 2 \n", + "20131009131778 4 -1 -1 -1 \n", + "20130605131901 5 -1 -1 -1 \n", + "20130201131342 2 2 2 -1 \n", + "20130212121071 5 -1 -1 -1 \n", + "20130302130037 1 2 2 -1 \n", + "20130908131014 1 2 2 2 \n", + "20130706131713 4 -1 -1 -1 \n", "\n", - "[5 rows x 31 columns]" + " school_level partner_present partner_employed \\\n", + "tucaseid \n", + "20131110131406 -1 3 -1 \n", + "20130807132371 -1 1 1 \n", + "20130807132365 -1 1 2 \n", + "20131009131778 -1 3 -1 \n", + "20130605131901 -1 3 -1 \n", + "20130201131342 -1 3 -1 \n", + "20130212121071 -1 3 -1 \n", + "20130302130037 -1 3 -1 \n", + "20130908131014 -1 1 1 \n", + "20130706131713 -1 3 -1 \n", + "\n", + " weekly_earnings_main household_children partner_work_status \\\n", + "tucaseid \n", + "20131110131406 48000 0 -1 \n", + "20130807132371 192307 2 1 \n", + "20130807132365 288461 2 -1 \n", + "20131009131778 -1 0 -1 \n", + "20130605131901 -1 0 -1 \n", + "20130201131342 76923 0 -1 \n", + "20130212121071 -1 0 -1 \n", + "20130302130037 10000 0 -1 \n", + "20130908131014 30000 1 1 \n", + "20130706131713 -1 0 -1 \n", + "\n", + " weekly_hours_worked date is_holiday eldercare_minutes \\\n", + "tucaseid \n", + "20131110131406 40 7 0 27 \n", + "20130807132371 45 1 0 -1 \n", + "20130807132365 99 1 0 -1 \n", + "20131009131778 -1 4 0 -1 \n", + "20130605131901 -1 7 0 -1 \n", + "20130201131342 12 1 0 -1 \n", + "20130212121071 -1 3 0 -1 \n", + "20130302130037 10 1 1 -1 \n", + "20130908131014 15 5 0 -1 \n", + "20130706131713 -1 5 1 -1 \n", + "\n", + " childcare_minutes \n", + "tucaseid \n", + "20131110131406 0 \n", + "20130807132371 0 \n", + "20130807132365 0 \n", + "20131009131778 0 \n", + "20130605131901 0 \n", + "20130201131342 0 \n", + "20130212121071 0 \n", + "20130302130037 0 \n", + "20130908131014 0 \n", + "20130706131713 0 " ] }, - "execution_count": 57, + "execution_count": 77, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "activities.head()" + "from IPython.display import display\n", + "pd.options.display.max_columns = 30 #20 by default\n", + "\n", + "reports = [user_report(s,i[0]) for i in xp.iloc[0:10].iterrows()]\n", + "xps = pd.DataFrame()\n", + "cc = 1\n", + "for i, val in enumerate(reports):\n", + " bb = reports[i][1].stack().unstack(0)\n", + " bb.index.names=['tucaseid']\n", + " cc = pd.merge(xp, bb, left_index=True, right_index=True)\n", + " xps = xps.append(cc)\n", + "xps\n", + "# cc.stack()\n", + "# bb = bio.stack().unstack(0)\n", + "# bb.index.names=['tucaseid']\n", + "# pd.merge(xp, bb, left_index=True, right_index=True)" ] }, { "cell_type": "code", - "execution_count": 58, + "execution_count": 76, "metadata": { "collapsed": false }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 215576 entries, 0 to 215575\n", - "Columns: 205 entries, TUCASEID to TXWHERE\n", - "dtypes: float64(1), int64(200), object(4)\n", - "memory usage: 338.8+ MB\n" - ] - } - ], - "source": [ - "merged = pd.merge(respondents, activities, left_on=\"TUCASEID\", right_on=\"TUCASEID\")\n", - "merged.info()" - ] + "outputs": [], + "source": [] }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " TUCASEID TUACTIVITY_N TXTCOC\n", - "0 20130101130004 1 0\n", - "1 20130101130004 2 0\n", - "2 20130101130004 3 0\n", - "3 20130101130004 4 0\n", - "4 20130101130004 5 0" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "merged[[\"TUCASEID\", \"TUACTIVITY_N\", \"TXTCOC\"]].head()" - ] + "outputs": [], + "source": [] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true }, "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, "source": [ - "telfs = pd.Series({1: \"Employed - at work\",\n", - " 2: \"Employed - absent\",\n", - " 3: \"Unemployed - laid off\",\n", - " 4: \"Unemployed - looking\",\n", - " 5: \"Not in labor force\"})" + "##Further Exploration\n", + "\n", + "###Possible Questions:\n", + "- What are the most extreme uses of the hours in a day?\n", + "- Newborn parent sleep - dads vs moms\n", + "- Amount of lawn work vs age of youngest child\n", + "- Amount of alone time vs age of youngest child TRTALONE\n", + "- What are people doing at this moment in time?\n", + "- What did people who responded \"none of your business\" 500105 do otherwise?\n", + "- Show a random correlation\n", + "- What do sleepless people do?\n", + "- OTPYG, by the numbers\n", + "- Rodeo vs ???\n", + "- Organizing and Preparing vs ???\n", + "- What do people do on holiday vs day off vs day of work? Weekend vs weekday?\n", + "\n", + "###Possible groupings:\n", + "- Adults with and without children\n", + "- Age of youngest child (0-5, 6-11, 12-17)\n", + "- Age <25, <40, <65, >65\n", + "- Male/Female\n", + "- \n", + "\n", + "###Other variables/files of interest:\n", + "- Actual activities file\n", + "\n", + "###Discussion Points:\n", + "- Generating data dictionary from pdf\n", + "- MadLib/User report\n", + "\n", + "###Other:\n", + "- Critical Functions:\n", + " - dictionaries in pa\n", + " - search_codes\n", + " - pick_codes\n", + " - user_report\n", + "- Test suite\n", + "\n", + "- Compare different populations (people with children and people without, people of differing age groups, men and women, or other groupings)\n", + "Answer macro-level questions and micro-level questions (for example, the amount of leisure for the macro-level, the types of things people do for leisure for the micro-level)\n", + "Your final analysis should be in the form of an IPython Notebook with both narrative analysis and supporting charts. Your supporting code should be in normal Python files.\n" ] }, { @@ -1425,12 +4438,7 @@ { "data": { "text/plain": [ - "1 Employed - at work\n", - "2 Employed - absent\n", - "3 Unemployed - laid off\n", - "4 Unemployed - looking\n", - "5 Not in labor force\n", - "dtype: object" + "" ] }, "execution_count": 61, @@ -1439,90 +4447,49 @@ } ], "source": [ - "telfs" + "search_codes" ] }, { "cell_type": "code", - "execution_count": 63, + "execution_count": null, "metadata": { - "collapsed": false + "collapsed": true }, - "outputs": [ - { - "data": { - "text/plain": [ - "0 Not in labor force\n", - "1 Employed - at work\n", - "2 Unemployed - looking\n", - "3 Employed - at work\n", - "4 Employed - at work\n", - "5 Not in labor force\n", - "6 Not in labor force\n", - "7 Employed - at work\n", - "8 Employed - at work\n", - "9 Employed - at work\n", - "10 Employed - at work\n", - "11 Employed - at work\n", - "12 Employed - at work\n", - "13 Employed - at work\n", - "14 Not in labor force\n", - "15 Not in labor force\n", - "16 Employed - at work\n", - "17 Employed - absent\n", - "18 Employed - at work\n", - "19 Unemployed - looking\n", - "20 Unemployed - looking\n", - "21 Employed - at work\n", - "22 Employed - at work\n", - "23 Not in labor force\n", - "24 Employed - at work\n", - "25 Employed - at work\n", - "26 Not in labor force\n", - "27 Not in labor force\n", - "28 Unemployed - looking\n", - "29 Employed - at work\n", - " ... \n", - "11355 Employed - absent\n", - "11356 Employed - at work\n", - "11357 Not in labor force\n", - "11358 Employed - at work\n", - "11359 Employed - at work\n", - "11360 Employed - at work\n", - "11361 Employed - at work\n", - "11362 Employed - at work\n", - "11363 Not in labor force\n", - "11364 Not in labor force\n", - "11365 Employed - at work\n", - "11366 Not in labor force\n", - "11367 Employed - at work\n", - "11368 Employed - at work\n", - "11369 Not in labor force\n", - "11370 Employed - at work\n", - "11371 Employed - at work\n", - "11372 Employed - at work\n", - "11373 Not in labor force\n", - "11374 Employed - at work\n", - "11375 Employed - at work\n", - "11376 Employed - at work\n", - "11377 Employed - at work\n", - "11378 Not in labor force\n", - "11379 Employed - at work\n", - "11380 Not in labor force\n", - "11381 Employed - at work\n", - "11382 Employed - at work\n", - "11383 Employed - at work\n", - "11384 Not in labor force\n", - "Name: TELFS, dtype: object" - ] - }, - "execution_count": 63, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#Table of Contents:\n", + "* [Initial Exploration (Top)](#Initial-Exploration)\n", + "* [Table of Contents](#Table-of-Contents:)\n", + "* [Relevant Links](#Relevant-links:)\n", + "* [Joining Files](#Joining-files)\n", + "* [Correlation Matrix](#Correlation-matrix)\n", + "* [Verifying BLS Statistics](#Verifying-summary-statistics-from-BLS-website:)\n", + "* [Further Analyses](#Now-for-some-basic-analyses-using-the-summary-data)\n", + " * [One-track-minds](#Quick-Analysis----What-is-the-maximum-time-anyone-spends-on-each-category?)\n", + "* [Further Exploration](#Further-Exploration)\n", + "* [End](#End)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, "source": [ - "summary.TELFS.map(telfs)" + "##End" ] }, { diff --git a/activities.txt b/activities.txt new file mode 100644 index 0000000..1f383d9 --- /dev/null +++ b/activities.txt @@ -0,0 +1,644 @@ +###Copied and pasted directly from activity_codes.pdf, including page number and headers: +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +01 Personal Care +01 Sleeping +01 Sleeping +02 Sleeplessness +99 Sleeping, n.e.c.* +02 Grooming +01 Washing, dressing and grooming oneself +99 Grooming, n.e.c.* +03 Health-related Self Care +01 Health-related self care +99 Self care, n.e.c.* +04 Personal Activities +01 Personal/Private activities +99 Personal activities, n.e.c.* +05 Personal Care Emergencies +01 Personal emergencies +99 Personal care emergencies, n.e.c.* +99 Personal Care, n.e.c.* +99 Personal care, n.e.c.* +02 Household Activities +01 Housework +01 Interior cleaning +02 Laundry +03 Sewing, repairing, & maintaining textiles +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +04 Storing interior hh items, inc. food +99 Housework, n.e.c.* +02 Food & Drink Prep., Presentation, & Clean-up +01 Food and drink preparation +02 Food presentation +03 Kitchen and food clean-up +99 Food & drink prep, presentation, & clean-up, n.e.c.* +03 Interior Maintenance, Repair, & Decoration +01 Interior arrangement, decoration, & repairs +02 Building and repairing furniture +03 Heating and cooling +99 Interior maintenance, repair, & decoration, n.e.c.* +04 Exterior Maintenance, Repair, & Decoration +01 Exterior cleaning +02 Exterior repair, improvements, & decoration +99 Exterior maintenance, repair & decoration, n.e.c.* +05 Lawn, Garden, and Houseplants +01 Lawn, garden, and houseplant care +02 Ponds, pools, and hot tubs +99 Lawn and garden, n.e.c.* +06 Animals and Pets +01 Care for animals and pets (not veterinary care) +02 Walking / exercising / playing with animals +99 Pet and animal care, n.e.c.* 2 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +07 Vehicles +01 Vehicle repair and maintenance (by self) +99 Vehicles, n.e.c.* +08 Appliances, Tools, and Toys +01 Appliance, tool, and toy set-up, repair, & maintenance (by self) +99 Appliances and tools, n.e.c.* +09 Household Management +01 Financial management +02 Household & personal organization and planning +03 HH & personal mail & messages (except e-mail) +04 HH & personal e-mail and messages +05 Home security +99 Household management, n.e.c.* +99 Household Activities, n.e.c.* +99 Household activities, n.e.c.* +03 Caring For & Helping Household (HH) Members +01 Caring For & Helping HH Children +01 Physical care for hh children +02 Reading to/with hh children +03 Playing with hh children, not sports +04 Arts and crafts with hh children +05 Playing sports with hh children +06 Talking with/listening to hh children +08 Organization & planning for hh children 3 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +09 Looking after hh children (as a primary activity) +10 Attending hh children's events +11 Waiting for/with hh children +12 Picking up/dropping off hh children +99 Caring for & helping hh children, n.e.c.* +02 Activities Related to HH Children's Education +01 Homework (hh children) +02 Meetings and school conferences (hh children) +03 Home schooling of hh children +04 Waiting associated with hh children's education +99 Activities related to hh child's education, n.e.c.* +03 Activities Related to HH Children's Health +01 Providing medical care to hh children +02 Obtaining medical care for hh children +03 Waiting associated with hh children's health +99 Activities related to hh child's health, n.e.c.* +04 Caring For Household Adults +01 Physical care for hh adults +02 Looking after hh adult (as a primary activity) +03 Providing medical care to hh adult +04 Obtaining medical and care services for hh adult +05 Waiting associated with caring for household adults +99 Caring for household adults, n.e.c.* +05 Helping Household Adults 4 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +01 Helping hh adults +02 Organization & planning for hh adults +03 Picking up/dropping off hh adult +04 Waiting associated with helping hh adults +99 Helping household adults, n.e.c.* +99 Caring For & Helping HH Members, n.e.c.* +99 Caring for & helping hh members, n.e.c.* +04 Caring For & Helping Nonhousehold (NonHH) Members +01 Caring For & Helping NonHH Children +01 Physical care for nonhh children +02 Reading to/with nonhh children +03 Playing with nonhh children, not sports +04 Arts and crafts with nonhh children +05 Playing sports with nonhh children +06 Talking with/listening to nonhh children +08 Organization & planning for nonhh children +09 Looking after nonhh children (as primary activity) +10 Attending nonhh children's events +11 Waiting for/with nonhh children +12 Dropping off/picking up nonhh children +99 Caring for and helping nonhh children, n.e.c.* +02 Activities Related to Nonhh Children's Education +01 Homework (nonhh children) +02 Meetings and school conferences (nonhh children) 5 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +03 Home schooling of nonhh children +04 Waiting associated with nonhh children's education +99 Activities related to nonhh child's educ., n.e.c.* +03 Activities Related to Nonhh Children's Health +01 Providing medical care to nonhh children +02 Obtaining medical care for nonhh children +03 Waiting associated with nonhh children's health +99 Activities related to nonhh child's health, n.e.c.* +04 Caring For Nonhousehold Adults +01 Physical care for nonhh adults +02 Looking after nonhh adult (as a primary activity) +03 Providing medical care to nonhh adult +04 Obtaining medical and care services for nonhh adult +05 Waiting associated with caring for nonhh adults +99 Caring for nonhh adults, n.e.c.* +05 Helping Nonhousehold Adults +01 Housework, cooking, & shopping assistance for nonhh adults +02 House & lawn maintenance & repair assistance for nonhh adults +03 Animal & pet care assistance for nonhh adults +04 Vehicle & appliance maintenance/repair assistance for nonhh adults +05 Financial management assistance for nonhh adults +06 Household management & paperwork assistance for nonhh adults +07 Picking up/dropping off nonhh adult +08 Waiting associated with helping nonhh adults 6 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +99 Helping nonhh adults, n.e.c.* +99 Caring For & Helping NonHH Members, n.e.c.* +99 Caring for & helping nonhh members, n.e.c.* +05 Work & Work-Related Activities +01 Working +01 Work, main job +02 Work, other job(s) +03 Security procedures related to work +04 Waiting associated with working +99 Working, n.e.c.* +02 Work-Related Activities +01 Socializing, relaxing, and leisure as part of job +02 Eating and drinking as part of job +03 Sports and exercise as part of job +04 Security procedures as part of job +05 Waiting associated with work-related activities +99 Work-related activities, n.e.c.* +03 Other Income-generating Activities +01 Income-generating hobbies, crafts, and food +02 Income-generating performances +03 Income-generating services +04 Income-generating rental property activities +05 Waiting associated with other income-generating activities +99 Other income-generating activities, n.e.c.* 7 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +04 Job Search and Interviewing +01 Job search activities +03 Job interviewing +04 Waiting associated with job search or interview +05 Security procedures rel. to job search/interviewing +99 Job search and Interviewing, n.e.c.* +99 Work and Work-Related Activities, n.e.c.* +99 Work and work-related activities, n.e.c.* +06 Education +01 Taking Class +01 Taking class for degree, certification, or licensure +02 Taking class for personal interest +03 Waiting associated with taking classes +04 Security procedures rel. to taking classes +99 Taking class, n.e.c.* +02 Extracurricular School Activities (Except Sports) +01 Extracurricular club activities +02 Extracurricular music & performance activities +03 Extracurricular student government activities +04 Waiting associated with extracurricular activities +99 Education-related extracurricular activities, n.e.c.* +03 Research/Homework +01 Research/homework for class for degree, certification, or licensure +02 Research/homework for class for pers. interest 8 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +03 Waiting associated with research/homework +99 Research/homework n.e.c.* +04 Registration/Administrative activities +01 Administrative activities: class for degree, certification, or licensure +02 Administrative activities: class for personal interest +03 Waiting associated w/admin. activities (education) +99 Administrative for education, n.e.c.* +99 Education, n.e.c.* +99 Education, n.e.c.* +07 Consumer Purchases +01 Shopping (Store, Telephone, Internet) +01 Grocery shopping +02 Purchasing gas +03 Purchasing food (not groceries) +04 Shopping, except groceries, food and gas +05 Waiting associated with shopping +99 Shopping, n.e.c.* +02 Researching Purchases +01 Comparison shopping +99 Researching purchases, n.e.c.* +03 Security Procedures Rel. to Consumer Purchases +01 Security procedures rel. to consumer purchases +99 Security procedures rel. to consumer purchases, n.e.c.* +99 Consumer Purchases, n.e.c.* 9 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +99 Consumer purchases, n.e.c.* +08 Professional & Personal Care Services +01 Childcare Services +01 Using paid childcare services +02 Waiting associated w/purchasing childcare svcs +99 Using paid childcare services, n.e.c.* +02 Financial Services and Banking +01 Banking +02 Using other financial services +03 Waiting associated w/banking/financial services +99 Using financial services and banking, n.e.c.* +03 Legal Services +01 Using legal services +02 Waiting associated with legal services +99 Using legal services, n.e.c.* +04 Medical and Care Services +01 Using health and care services outside the home +02 Using in-home health and care services +03 Waiting associated with medical services +99 Using medical services, n.e.c.* +05 Personal Care Services +01 Using personal care services +02 Waiting associated w/personal care services +99 Using personal care services, n.e.c.* 10 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +06 Real Estate +01 Activities rel. to purchasing/selling real estate +02 Waiting associated w/purchasing/selling real estate +99 Using real estate services, n.e.c.* +07 Veterinary Services (excluding grooming) +01 Using veterinary services +02 Waiting associated with veterinary services +99 Using veterinary services, n.e.c.* +08 Security Procedures Rel. to Professional/Personal Svcs. +01 Security procedures rel. to professional/personal svcs. +99 Security procedures rel. to professional/personal svcs n.e.c.* +99 Professional and Personal Services, n.e.c.* +99 Professional and personal services, n.e.c.* +09 Household Services +01 Household Services (not done by self) +01 Using interior cleaning services +02 Using meal preparation services +03 Using clothing repair and cleaning services +04 Waiting associated with using household services +99 Using household services, n.e.c.* +02 Home Maint/Repair/Decor/Construction (not done by self) +01 Using home maint/repair/décor/construction svcs +02 Waiting associated w/ home main/repair/décor/constr +99 Using home maint/repair/décor/constr services, n.e.c.* 11 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +03 Pet Services (not done by self, not vet) +01 Using pet services +02 Waiting associated with pet services +99 Using pet services, n.e.c.* +04 Lawn & Garden Services (not done by self) +01 Using lawn and garden services +02 Waiting associated with using lawn & garden services +99 Using lawn and garden services, n.e.c.* +05 Vehicle Maint. & Repair Services (not done by self) +01 Using vehicle maintenance or repair services +02 Waiting associated with vehicle main. or repair svcs +99 Using vehicle maint. & repair svcs, n.e.c.* +99 Household Services, n.e.c.* +99 Using household services, n.e.c.* +10 Government Services & Civic Obligations +01 Using Government Services +01 Using police and fire services +02 Using social services +03 Obtaining licenses & paying fines, fees, taxes +99 Using government services, n.e.c.* +02 Civic Obligations & Participation +01 Civic obligations & participation +99 Civic obligations & participation, n.e.c.* +03 Waiting Associated w/Govt Svcs or Civic Obligations 12 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +04 Waiting associated with using government services +05 Waiting associated with civic obligations & participation +99 Waiting assoc. w/govt svcs or civic obligations, n.e.c.* +04 Security Procedures Rel. to Govt Svcs/Civic Obligations +01 Security procedures rel. to govt svcs/civic obligations +99 Security procedures rel. to govt svcs/civic obligations, n.e.c.* +99 Government Services, n.e.c.* +99 Government services, n.e.c.* +11 Eating and Drinking +01 Eating and Drinking +01 Eating and drinking +99 Eating and drinking, n.e.c.* +02 Waiting associated with eating & drinking +01 Waiting associated w/eating & drinking +99 Waiting associated with eating & drinking, n.e.c.* +99 Eating and Drinking, n.e.c.* +99 Eating and drinking, n.e.c.* +12 Socializing, Relaxing, and Leisure +01 Socializing and Communicating +01 Socializing and communicating with others +99 Socializing and communicating, n.e.c.* +02 Attending or Hosting Social Events +01 Attending or hosting parties/receptions/ceremonies +02 Attending meetings for personal interest (not volunteering) 13 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +99 Attending/hosting social events, n.e.c.* +03 Relaxing and Leisure +01 Relaxing, thinking +02 Tobacco and drug use +03 Television and movies (not religious) +04 Television (religious) +05 Listening to the radio +06 Listening to/playing music (not radio) +07 Playing games +08 Computer use for leisure (excluding games) +09 Arts and crafts as a hobby +10 Collecting as a hobby +11 Hobbies, except arts & crafts and collecting +12 Reading for personal interest +13 Writing for personal interest +99 Relaxing and leisure, n.e.c.* +04 Arts and Entertainment (other than sports) +01 Attending performing arts +02 Attending museums +03 Attending movies/film +04 Attending gambling establishments +05 Security procedures rel. to arts & entertainment +99 Arts and entertainment, n.e.c.* +05 Waiting Associated with Socializing, Relaxing, and Leisure 14 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +01 Waiting assoc. w/socializing & communicating +02 Waiting assoc. w/attending/hosting social events +03 Waiting associated with relaxing/leisure +04 Waiting associated with arts & entertainment +99 Waiting associated with socializing, n.e.c.* +99 Socializing, Relaxing, and Leisure, n.e.c.* +99 Socializing, relaxing, and leisure, n.e.c.* +13 Sports, Exercise, and Recreation +01 Participating in Sports, Exercise, or Recreation +01 Doing aerobics +02 Playing baseball +03 Playing basketball +04 Biking +05 Playing billiards +06 Boating +07 Bowling +08 Climbing, spelunking, caving +09 Dancing +10 Participating in equestrian sports +11 Fencing +12 Fishing +13 Playing football +14 Golfing +15 Doing gymnastics 15 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +16 Hiking +17 Playing hockey +18 Hunting +19 Participating in martial arts +20 Playing racquet sports +21 Participating in rodeo competitions +22 Rollerblading +23 Playing rugby +24 Running +25 Skiing, ice skating, snowboarding +26 Playing soccer +27 Softball +28 Using cardiovascular equipment +29 Vehicle touring/racing +30 Playing volleyball +31 Walking +32 Participating in water sports +33 Weightlifting/strength training +34 Working out, unspecified +35 Wrestling +36 Doing yoga +99 Playing sports n.e.c.* +02 Attending Sporting/Recreational Events +01 Watching aerobics 16 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +02 Watching baseball +03 Watching basketball +04 Watching biking +05 Watching billiards +06 Watching boating +07 Watching bowling +08 Watching climbing, spelunking, caving +09 Watching dancing +10 Watching equestrian sports +11 Watching fencing +12 Watching fishing +13 Watching football +14 Watching golfing +15 Watching gymnastics +16 Watching hockey +17 Watching martial arts +18 Watching racquet sports +19 Watching rodeo competitions +20 Watching rollerblading +21 Watching rugby +22 Watching running +23 Watching skiing, ice skating, snowboarding +24 Watching soccer +25 Watching softball 17 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +26 Watching vehicle touring/racing +27 Watching volleyball +28 Watching walking +29 Watching water sports +30 Watching weightlifting/strength training +31 Watching people working out, unspecified +32 Watching wrestling +99 Attending sporting events, n.e.c.* +03 Waiting Associated with Sports, Exercise, & Recreation +01 Waiting related to playing sports or exercising +02 Waiting related to attending sporting events +99 Waiting associated with sports, exercise, & recreation, n.e.c.* +04 Security Procedures Rel. to Sports, Exercise, & Recreation +01 Security related to playing sports or exercising +02 Security related to attending sporting events +99 Security related to sports, exercise, & recreation, n.e.c.* +99 Sports, Exercise, & Recreation, n.e.c.* +99 Sports, exercise, & recreation, n.e.c.* +14 Religious and Spiritual Activities +01 Religious/Spiritual Practices +01 Attending religious services +02 Participation in religious practices +03 Waiting associated w/religious & spiritual activities +04 Security procedures rel. to religious & spiritual activities 18 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +05 Religious education activities +99 Religious and Spiritual Activities, n.e.c.* +99 Religious and spiritual activities, n.e.c.* +15 Volunteer Activities +01 Administrative & Support Activities +01 Computer use +02 Organizing and preparing +03 Reading +04 Telephone calls (except hotline counseling) +05 Writing +06 Fundraising +99 Administrative & support activities, n.e.c.* +02 Social Service & Care Activities (Except Medical) +01 Food preparation, presentation, clean-up +02 Collecting & delivering clothing & other goods +03 Providing care +04 Teaching, leading, counseling, mentoring +99 Social service & care activities, n.e.c.* +03 Indoor & Outdoor Maintenance, Building, & Clean-up Activities +01 Building houses, wildlife sites, & other structures +02 Indoor & outdoor maintenance, repair, & clean-up +99 Indoor & outdoor maintenance, building & clean-up activities, n.e.c.* +04 Participating in Performance & Cultural Activities +01 Performing 19 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +02 Serving at volunteer events & cultural activities +99 Participating in performance & cultural activities, n.e.c.* +05 Attending Meetings, Conferences, & Training +01 Attending meetings, conferences, & training +99 Attending meetings, conferences, & training, n.e.c.* +06 Public Health & Safety Activities +01 Public health activities +02 Public safety activities +99 Public health & safety activities, n.e.c.* +07 Waiting Associated with Volunteer Activities +01 Waiting associated with volunteer activities +99 Waiting associated with volunteer activities, n.e.c.* +08 Security procedures related to volunteer activities +01 Security procedures related to volunteer activities +99 Security procedures related to volunteer activities, n.e.c.* +99 Volunteer Activities, n.e.c.* +99 Volunteer activities, n.e.c.* +16 Telephone Calls +01 Telephone Calls (to or from) +01 Telephone calls to/from family members +02 Telephone calls to/from friends, neighbors, or acquaintances +03 Telephone calls to/from education services providers +04 Telephone calls to/from salespeople +05 Telephone calls to/from professional or personal care svcs providers 20 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +06 Telephone calls to/from household services providers +07 Telephone calls to/from paid child or adult care providers +08 Telephone calls to/from government officials +99 Telephone calls (to or from), n.e.c.* +02 Waiting Associated with Telephone Calls +01 Waiting associated with telephone calls +99 Waiting associated with telephone calls, n.e.c.* +99 Telephone Calls, n.e.c.* +99 Telephone calls, n.e.c.* +18 Traveling +01 Travel Related to Personal Care +01 Travel related to personal care +99 Travel related to personal care, n.e.c.* +02 Travel Related to Household Activities +01 Travel related to housework +02 Travel related to food & drink prep., clean-up, & presentation +03 Travel related to interior maintenance, repair, & decoration +04 Travel related to exterior maintenance, repair, & decoration +05 Travel related to lawn, garden, and houseplant care +06 Travel related to care for animals and pets (not vet care) +07 Travel related to vehicle care & maintenance (by self) +08 Travel related to appliance, tool, and toy set-up, repair, & maintenance (by self) +09 Travel related to household management +99 Travel related to household activities, n.e.c.* 21 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +03 Travel Related to Caring For & Helping HH Members +01 Travel related to caring for & helping hh children +02 Travel related to hh children's education +03 Travel related to hh children's health +04 Travel related to caring for hh adults +05 Travel related to helping hh adults +99 Travel rel. to caring for & helping hh members, n.e.c.* +04 Travel Related to Caring For & Helping Nonhh Members +01 Travel related to caring for and helping nonhh children +02 Travel related to nonhh children's education +03 Travel related to nonhh children's health +04 Travel related to caring for nonhh adults +05 Travel related to helping nonhh adults +99 Travel rel. to caring for & helping nonhh members, n.e.c.* +05 Travel Related to Work +01 Travel related to working +02 Travel related to work-related activities +03 Travel related to income-generating activities +04 Travel related to job search & interviewing +99 Travel related to work, n.e.c.* +06 Travel Related to Education +01 Travel related to taking class +02 Travel related to extracurricular activities (ex. Sports) +03 Travel related to research/homework 22 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +04 Travel related to registration/administrative activities +99 Travel related to education, n.e.c.* +07 Travel Related to Consumer Purchases +01 Travel related to grocery shopping +02 Travel related to purchasing gas +03 Travel related to purchasing food (not groceries) +04 Travel related to shopping, ex groceries, food, and gas +99 Travel related to consumer purchases, n.e.c.* +08 Travel Related to Using Professional and Personal Care Services +01 Travel related to using childcare services +02 Travel related to using financial services and banking +03 Travel related to using legal services +04 Travel related to using medical services +05 Travel related to using personal care services +06 Travel related to using real estate services +07 Travel related to using veterinary services +99 Travel rel. to using prof. & personal care services, n.e.c.* +09 Travel Related to Using Household Services +01 Travel related to using household services +02 Travel related to using home main./repair/décor./construction svcs +03 Travel related to using pet services (not vet) +04 Travel related to using lawn and garden services +05 Travel related to using vehicle maintenance & repair services +99 Travel related to using household services, n.e.c.* 23 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +10 Travel Related to Using Govt Services & Civic Obligations +01 Travel related to using government services +02 Travel related to civic obligations & participation +99 Travel rel. to govt svcs & civic obligations, n.e.c.* +11 Travel Related to Eating and Drinking +01 Travel related to eating and drinking +99 Travel related to eating and drinking, n.e.c.* +12 Travel Related to Socializing, Relaxing, and Leisure +01 Travel related to socializing and communicating +02 Travel related to attending or hosting social events +03 Travel related to relaxing and leisure +04 Travel related to arts and entertainment +05 Travel as a form of entertainment +99 Travel rel. to socializing, relaxing, & leisure, n.e.c.* +13 Travel Related to Sports, Exercise, & Recreation +01 Travel related to participating in sports/exercise/recreation +02 Travel related to attending sporting/recreational events +99 Travel related to sports, exercise, & recreation, n.e.c.* +14 Travel Related to Religious/Spiritual Activities +01 Travel related to religious/spiritual practices +99 Travel rel. to religious/spiritual activities, n.e.c.* +15 Travel Related to Volunteer Activities +01 Travel related to volunteering +99 Travel related to volunteer activities, n.e.c.* 24 +ATUS 2013 Lexicon +Major Categories 2nd-tier 3rd-tier +16 Travel Related to Telephone Calls +01 Travel related to phone calls +99 Travel rel. to phone calls, n.e.c.* +18 Security Procedures Related to Traveling +01 Security procedures related to traveling +99 Security procedures related to traveling, n.e.c.* +99 Traveling, n.e.c.* +99 Traveling, n.e.c.* +50 Data Codes +01 Unable to Code +01 Insufficient detail in verbatim +03 Missing travel or destination +05 Respondent refused to provide information/"none of your business" +06 Gap/can't remember +07 Unable to code activity at 1st tier +99 Data codes, n.e.c.* +99 Data codes, n.e.c.* diff --git a/atus.py b/atus.py new file mode 100644 index 0000000..45a1e9b --- /dev/null +++ b/atus.py @@ -0,0 +1,142 @@ +import pandas as pd +import numpy as np +import math +import re +import zipfile +import seaborn as sns +import matplotlib.pyplot as plt +import parse_activities as pa + +summary_columns = {'GTMETSTA': 'metropolitan_status', + 'PEEDUCA': 'education_level', + 'PEHSPNON': 'is_hispanic', + 'PTDTRACE': 'race', + 'TEAGE': 'age_edited', + 'TEHRUSLT': 'weekly_hours_worked', + 'TELFS': 'employment_status', + 'TEMJOT': 'has_multiple_jobs', + 'TESCHENR': 'is_student', + 'TESCHLVL': 'school_level', + 'TESEX': 'gender', + 'TESPEMPNOT': 'partner_employed', + 'TRCHILDNUM': 'household_children', + 'TRDPFTPT': 'work_status', + 'TRERNWA': 'weekly_earnings_main', + 'TRHOLIDAY': 'is_holiday', + 'TRSPFTPT': 'partner_work_status', + 'TRSPPRES': 'partner_present', + 'TRTEC': 'eldercare_minutes', + 'TRTHH': 'childcare_minutes', + 'TRYHHCHILD': 'youngest_child_age', + 'TUDIARYDAY': 'date', + 'TUFINLWGT': 'atus_final_weight', + 'tucaseid': 'atus_case_id' + } + + +def open_zip(datafile): + """ + Opens the named zipped datafile from the downloaded zipfile + Takes a string filename and returns a pandas dataframe + """ + summary = None + with zipfile.ZipFile('atusdata/{}.zip'.format(datafile), 'r') as z: + f = z.open('{}.dat'.format(datafile)) + return pd.read_csv(f) + + +def weighted(df, col): + """ + Pass in dataframe and a name of column (str) to received statistically weighted number based on TUFINLWGT + Returns a dataframe with a weighted values column as well as a weighted average + """ + data = df[['TUFINLWGT', col]] + data[str(col+'_wgt')] = data.TUFINLWGT * data[col] + avg = data[str(col+'_wgt')].sum() / data.TUFINLWGT.sum() + return data, avg + + +def weighted_col(df, col): + """ + Pass in dataframe and a name of column (str) to received statistically + weighted column based on TUFINLWGT + """ + data = df[['TUFINLWGT', col]] + data[str(col+'_wgt')] = data.TUFINLWGT * data[col] + return data[str(col+'_wgt')] + + +def average_minutes(data, activity_code): + act_col = "t{}".format(activity_code) + data = data[['TUFINLWGT', act_col]] + data = data.rename(columns={"TUFINLWGT": "weight", act_col: "minutes"}) + data['weighted_minutes'] = data.weight * data.minutes + return data.weighted_minutes.sum() / data.weight.sum() + + +def activity_columns(data, activity_code): + """ + For the activity code given, return all columns that fall under + that activity. + """ + col_prefix = "t{}".format(activity_code) + return [column for column in data.columns if re.match(col_prefix, column)] + + +def average_minutes2(data, activity_code): + cols = activity_columns(data, activity_code) + activity_data = data[cols] + activity_sums = activity_data.sum(axis=1) + data = data[['TUFINLWGT']] + data['minutes'] = activity_sums + data = data.rename(columns={"TUFINLWGT": "weight"}) + data['weighted_minutes'] = data.weight * data.minutes + return data.weighted_minutes.sum() / data.weight.sum() + +def search_codes(text): + """ + Return a list of tuples of ATUS activity code and the English + description for all descriptions containing text + """ + results = [] + for k,v in pa.codes_dict.items(): + #print(v) + if re.search(text, v.lower()): + results.append((k,v)) + return results + +def pick_activities(text, desc=False): + """ + Returns activity codes with text in description + If desc=True, returns the description instead + """ + if desc: + item = 1 + else: + item = 0 + return [i[item] for i in search_codes(text) if len(i[0])==7] + +def one_track_minds(s): + """Returns users with maximum for each activity code, requires s summary dataframe""" + #s = s.set_index('tucaseid') + # s.t010101.max()/60 + # s.t010101.idxmax() + extreme_ppl = [] + for activity in s.columns[23:]: + person = s[activity].idxmax() + minutes = s.loc[person, activity] + extreme_ppl.append((person, minutes/60, activity, pa.codes_dict[activity])) + xp = pd.DataFrame(extreme_ppl, columns=['tucaseid', 'hours', 'activity', 'description']).set_index('tucaseid') + #xp.sort('minutes') # Some of the least popular activities include "Public health activities, and several n.e.c* labels + xp = xp.sort('hours', ascending=False) + return xp + +def user_report(df, user=20131110131406): + """Takes a dataframe of activity times and returns hours spend per day for each non-zero value""" + stats = df.loc[user][:23] + time = df.loc[user][23:] + time_use = time[time != 0].rename(pa.codes_dict) + hours = pd.DataFrame((time_use / 60)) + bio = pd.DataFrame(stats).rename(summary_columns) +# hours.plot(kind='pie', subplots=True) + return hours, bio diff --git a/mad_lib.py b/mad_lib.py new file mode 100644 index 0000000..6d9d2da --- /dev/null +++ b/mad_lib.py @@ -0,0 +1,51 @@ +import parse_activities as pa +import random +import re + +first_gerund = re.compile(r'^\w+ing\b') +activities = pa.activities +persons = ['Jack', 'Jill', 'Rocky', 'Dale', 'Urkel', 'Sharona', 'Mr. Noodle', 'Dr. Evil'] +places = ['home', 'work', 'the gym', 'the pool', 'the coffeeshop', "your mom's house"] +whens = ['earlier', 'today', 'yesterday', 'a while back', 'last night', 'the other day', 'long ago', 'in his/her prime', 'back when it meant something'] + +def mad_lib(): + activity = random.choice(list(activities.values())) + lib = {'person': random.choice(persons), + 'verb' : activity.lower(), + 'place': random.choice(places), + 'when' : random.choice(whens), + } + starts_with_gerund = re.match(first_gerund, lib['verb']) + if starts_with_gerund: + lib['verb'] = 'was really enjoying ' + lib['verb'] + else: + lib['verb'] = 'did a bit of ' + lib['verb'] + + print('{person} {verb} at {place} {when}.'.format(**lib)) + + activity = random.choice(list(activities.values())) + lib = {'person': random.choice(persons), + 'verb' : activity.lower(), + 'place': random.choice(places), + 'when' : random.choice(whens), + } + if starts_with_gerund: + lib['verb'] = 'ended up ' + lib['verb'] + else: + lib['verb'] = 'randomly decided to start doing ' + lib['verb'] + + print('It was all fun and games until {person} {verb} all the time {when}.'.format(**lib)) + + activity = random.choice(list(activities.values())) + lib = {'person': random.choice(persons), + 'verb' : activity.lower(), + 'place': random.choice(places), + 'when' : random.choice(whens), + } + + # if starts_with_gerund: + # lib['verb'] = 'ended up ' + lib['verb'] + # else: + # lib['verb'] = 'randomly decided to start doing ' + lib['verb'] + + print('{person} ultimately decided that {verb} just wasn\'t the same as it used to be {when}.'.format(**lib)) diff --git a/output_test.txt b/output_test.txt new file mode 100644 index 0000000..77970ce --- /dev/null +++ b/output_test.txt @@ -0,0 +1,604 @@ +[('01', 'Personal Care'), + ('0101', 'Sleeping'), + ('010101', 'Sleeping'), + ('010102', 'Sleeplessness'), + ('010199', 'Sleeping, n.e.c.*'), + ('0102', 'Grooming'), + ('010201', 'Washing, dressing and grooming oneself'), + ('010299', 'Grooming, n.e.c.*'), + ('0103', 'Health-related Self Care'), + ('010301', 'Health-related self care'), + ('010399', 'Self care, n.e.c.*'), + ('0104', 'Personal Activities'), + ('010401', 'Personal/Private activities'), + ('010499', 'Personal activities, n.e.c.*'), + ('0105', 'Personal Care Emergencies'), + ('010501', 'Personal emergencies'), + ('010599', 'Personal care emergencies, n.e.c.*'), + ('0199', 'Personal Care, n.e.c.*'), + ('019999', 'Personal care, n.e.c.*'), + ('02', 'Household Activities'), + ('0201', 'Housework'), + ('020101', 'Interior cleaning'), + ('020102', 'Laundry'), + ('020103', 'Sewing, repairing, & maintaining textiles'), + ('020104', 'Storing interior hh items, inc. food'), + ('020199', 'Housework, n.e.c.*'), + ('0202', 'Food & Drink Prep., Presentation, & Clean-up'), + ('020201', 'Food and drink preparation'), + ('020202', 'Food presentation'), + ('020203', 'Kitchen and food clean-up'), + ('020299', 'Food & drink prep, presentation, & clean-up, n.e.c.*'), + ('0203', 'Interior Maintenance, Repair, & Decoration'), + ('020301', 'Interior arrangement, decoration, & repairs'), + ('020302', 'Building and repairing furniture'), + ('020303', 'Heating and cooling'), + ('020399', 'Interior maintenance, repair, & decoration, n.e.c.*'), + ('0204', 'Exterior Maintenance, Repair, & Decoration'), + ('020401', 'Exterior cleaning'), + ('020402', 'Exterior repair, improvements, & decoration'), + ('020499', 'Exterior maintenance, repair & decoration, n.e.c.*'), + ('0205', 'Lawn, Garden, and Houseplants'), + ('020501', 'Lawn, garden, and houseplant care'), + ('020502', 'Ponds, pools, and hot tubs'), + ('020599', 'Lawn and garden, n.e.c.*'), + ('0206', 'Animals and Pets'), + ('020601', 'Care for animals and pets (not veterinary care)'), + ('020602', 'Walking / exercising / playing with animals'), + ('020699', 'Pet and animal care, n.e.c.*'), + ('0207', 'Vehicles'), + ('020701', 'Vehicle repair and maintenance (by self)'), + ('020799', 'Vehicles, n.e.c.*'), + ('0208', 'Appliances, Tools, and Toys'), + ('020801', + 'Appliance, tool, and toy set-up, repair, & maintenance (by self)'), + ('020899', 'Appliances and tools, n.e.c.*'), + ('0209', 'Household Management'), + ('020901', 'Financial management'), + ('020902', 'Household & personal organization and planning'), + ('020903', 'HH & personal mail & messages (except e-mail)'), + ('020904', 'HH & personal e-mail and messages'), + ('020905', 'Home security'), + ('020999', 'Household management, n.e.c.*'), + ('0299', 'Household Activities, n.e.c.*'), + ('029999', 'Household activities, n.e.c.*'), + ('03', 'Caring For & Helping Household (HH) Members'), + ('0301', 'Caring For & Helping HH Children'), + ('030101', 'Physical care for hh children'), + ('030102', 'Reading to/with hh children'), + ('030103', 'Playing with hh children, not sports'), + ('030104', 'Arts and crafts with hh children'), + ('030105', 'Playing sports with hh children'), + ('030106', 'Talking with/listening to hh children'), + ('030108', 'Organization & planning for hh children'), + ('030109', 'Looking after hh children (as a primary activity)'), + ('030110', "Attending hh children's events"), + ('030111', 'Waiting for/with hh children'), + ('030112', 'Picking up/dropping off hh children'), + ('030199', 'Caring for & helping hh children, n.e.c.*'), + ('0302', "Activities Related to HH Children's Education"), + ('030201', 'Homework (hh children)'), + ('030202', 'Meetings and school conferences (hh children)'), + ('030203', 'Home schooling of hh children'), + ('030204', "Waiting associated with hh children's education"), + ('030299', "Activities related to hh child's education, n.e.c.*"), + ('0303', "Activities Related to HH Children's Health"), + ('030301', 'Providing medical care to hh children'), + ('030302', 'Obtaining medical care for hh children'), + ('030303', "Waiting associated with hh children's health"), + ('030399', "Activities related to hh child's health, n.e.c.*"), + ('0304', 'Caring For Household Adults'), + ('030401', 'Physical care for hh adults'), + ('030402', 'Looking after hh adult (as a primary activity)'), + ('030403', 'Providing medical care to hh adult'), + ('030404', 'Obtaining medical and care services for hh adult'), + ('030405', 'Waiting associated with caring for household adults'), + ('030499', 'Caring for household adults, n.e.c.*'), + ('0305', 'Helping Household Adults'), + ('030501', 'Helping hh adults'), + ('030502', 'Organization & planning for hh adults'), + ('030503', 'Picking up/dropping off hh adult'), + ('030504', 'Waiting associated with helping hh adults'), + ('030599', 'Helping household adults, n.e.c.*'), + ('0399', 'Caring For & Helping HH Members, n.e.c.*'), + ('039999', 'Caring for & helping hh members, n.e.c.*'), + ('04', 'Caring For & Helping Nonhousehold (NonHH) Members'), + ('0401', 'Caring For & Helping NonHH Children'), + ('040101', 'Physical care for nonhh children'), + ('040102', 'Reading to/with nonhh children'), + ('040103', 'Playing with nonhh children, not sports'), + ('040104', 'Arts and crafts with nonhh children'), + ('040105', 'Playing sports with nonhh children'), + ('040106', 'Talking with/listening to nonhh children'), + ('040108', 'Organization & planning for nonhh children'), + ('040109', 'Looking after nonhh children (as primary activity)'), + ('040110', "Attending nonhh children's events"), + ('040111', 'Waiting for/with nonhh children'), + ('040112', 'Dropping off/picking up nonhh children'), + ('040199', 'Caring for and helping nonhh children, n.e.c.*'), + ('0402', "Activities Related to Nonhh Children's Education"), + ('040201', 'Homework (nonhh children)'), + ('040202', 'Meetings and school conferences (nonhh children)'), + ('040203', 'Home schooling of nonhh children'), + ('040204', "Waiting associated with nonhh children's education"), + ('040299', "Activities related to nonhh child's educ., n.e.c.*"), + ('0403', "Activities Related to Nonhh Children's Health"), + ('040301', 'Providing medical care to nonhh children'), + ('040302', 'Obtaining medical care for nonhh children'), + ('040303', "Waiting associated with nonhh children's health"), + ('040399', "Activities related to nonhh child's health, n.e.c.*"), + ('0404', 'Caring For Nonhousehold Adults'), + ('040401', 'Physical care for nonhh adults'), + ('040402', 'Looking after nonhh adult (as a primary activity)'), + ('040403', 'Providing medical care to nonhh adult'), + ('040404', 'Obtaining medical and care services for nonhh adult'), + ('040405', 'Waiting associated with caring for nonhh adults'), + ('040499', 'Caring for nonhh adults, n.e.c.*'), + ('0405', 'Helping Nonhousehold Adults'), + ('040501', 'Housework, cooking, & shopping assistance for nonhh adults'), + ('040502', 'House & lawn maintenance & repair assistance for nonhh adults'), + ('040503', 'Animal & pet care assistance for nonhh adults'), + ('040504', + 'Vehicle & appliance maintenance/repair assistance for nonhh adults'), + ('040505', 'Financial management assistance for nonhh adults'), + ('040506', 'Household management & paperwork assistance for nonhh adults'), + ('040507', 'Picking up/dropping off nonhh adult'), + ('040508', 'Waiting associated with helping nonhh adults'), + ('040599', 'Helping nonhh adults, n.e.c.*'), + ('0499', 'Caring For & Helping NonHH Members, n.e.c.*'), + ('049999', 'Caring for & helping nonhh members, n.e.c.*'), + ('05', 'Work & Work-Related Activities'), + ('0501', 'Working'), + ('050101', 'Work, main job'), + ('050102', 'Work, other job(s)'), + ('050103', 'Security procedures related to work'), + ('050104', 'Waiting associated with working'), + ('050199', 'Working, n.e.c.*'), + ('0502', 'Work-Related Activities'), + ('050201', 'Socializing, relaxing, and leisure as part of job'), + ('050202', 'Eating and drinking as part of job'), + ('050203', 'Sports and exercise as part of job'), + ('050204', 'Security procedures as part of job'), + ('050205', 'Waiting associated with work-related activities'), + ('050299', 'Work-related activities, n.e.c.*'), + ('0503', 'Other Income-generating Activities'), + ('050301', 'Income-generating hobbies, crafts, and food'), + ('050302', 'Income-generating performances'), + ('050303', 'Income-generating services'), + ('050304', 'Income-generating rental property activities'), + ('050305', 'Waiting associated with other income-generating activities'), + ('050399', 'Other income-generating activities, n.e.c.*'), + ('0504', 'Job Search and Interviewing'), + ('050401', 'Job search activities'), + ('050403', 'Job interviewing'), + ('050404', 'Waiting associated with job search or interview'), + ('050405', 'Security procedures rel. to job search/interviewing'), + ('050499', 'Job search and Interviewing, n.e.c.*'), + ('0599', 'Work and Work-Related Activities, n.e.c.*'), + ('059999', 'Work and work-related activities, n.e.c.*'), + ('06', 'Education'), + ('0601', 'Taking Class'), + ('060101', 'Taking class for degree, certification, or licensure'), + ('060102', 'Taking class for personal interest'), + ('060103', 'Waiting associated with taking classes'), + ('060104', 'Security procedures rel. to taking classes'), + ('060199', 'Taking class, n.e.c.*'), + ('0602', 'Extracurricular School Activities (Except Sports)'), + ('060201', 'Extracurricular club activities'), + ('060202', 'Extracurricular music & performance activities'), + ('060203', 'Extracurricular student government activities'), + ('060204', 'Waiting associated with extracurricular activities'), + ('060299', 'Education-related extracurricular activities, n.e.c.*'), + ('0603', 'Research/Homework'), + ('060301', + 'Research/homework for class for degree, certification, or licensure'), + ('060302', 'Research/homework for class for pers. interest'), + ('060303', 'Waiting associated with research/homework'), + ('060399', 'Research/homework n.e.c.*'), + ('0604', 'Registration/Administrative activities'), + ('060401', + 'Administrative activities: class for degree, certification, or licensure'), + ('060402', 'Administrative activities: class for personal interest'), + ('060403', 'Waiting associated w/admin. activities (education)'), + ('060499', 'Administrative for education, n.e.c.*'), + ('0699', 'Education, n.e.c.*'), + ('069999', 'Education, n.e.c.*'), + ('07', 'Consumer Purchases'), + ('0701', 'Shopping (Store, Telephone, Internet)'), + ('070101', 'Grocery shopping'), + ('070102', 'Purchasing gas'), + ('070103', 'Purchasing food (not groceries)'), + ('070104', 'Shopping, except groceries, food and gas'), + ('070105', 'Waiting associated with shopping'), + ('070199', 'Shopping, n.e.c.*'), + ('0702', 'Researching Purchases'), + ('070201', 'Comparison shopping'), + ('070299', 'Researching purchases, n.e.c.*'), + ('0703', 'Security Procedures Rel. to Consumer Purchases'), + ('070301', 'Security procedures rel. to consumer purchases'), + ('070399', 'Security procedures rel. to consumer purchases, n.e.c.*'), + ('0799', 'Consumer Purchases, n.e.c.*'), + ('079999', 'Consumer purchases, n.e.c.*'), + ('08', 'Professional & Personal Care Services'), + ('0801', 'Childcare Services'), + ('080101', 'Using paid childcare services'), + ('080102', 'Waiting associated w/purchasing childcare svcs'), + ('080199', 'Using paid childcare services, n.e.c.*'), + ('0802', 'Financial Services and Banking'), + ('080201', 'Banking'), + ('080202', 'Using other financial services'), + ('080203', 'Waiting associated w/banking/financial services'), + ('080299', 'Using financial services and banking, n.e.c.*'), + ('0803', 'Legal Services'), + ('080301', 'Using legal services'), + ('080302', 'Waiting associated with legal services'), + ('080399', 'Using legal services, n.e.c.*'), + ('0804', 'Medical and Care Services'), + ('080401', 'Using health and care services outside the home'), + ('080402', 'Using in-home health and care services'), + ('080403', 'Waiting associated with medical services'), + ('080499', 'Using medical services, n.e.c.*'), + ('0805', 'Personal Care Services'), + ('080501', 'Using personal care services'), + ('080502', 'Waiting associated w/personal care services'), + ('080599', 'Using personal care services, n.e.c.*'), + ('0806', 'Real Estate'), + ('080601', 'Activities rel. to purchasing/selling real estate'), + ('080602', 'Waiting associated w/purchasing/selling real estate'), + ('080699', 'Using real estate services, n.e.c.*'), + ('0807', 'Veterinary Services (excluding grooming)'), + ('080701', 'Using veterinary services'), + ('080702', 'Waiting associated with veterinary services'), + ('080799', 'Using veterinary services, n.e.c.*'), + ('0808', 'Security Procedures Rel. to Professional/Personal Svcs.'), + ('080801', 'Security procedures rel. to professional/personal svcs.'), + ('080899', 'Security procedures rel. to professional/personal svcs n.e.c.*'), + ('0899', 'Professional and Personal Services, n.e.c.*'), + ('089999', 'Professional and personal services, n.e.c.*'), + ('09', 'Household Services'), + ('0901', 'Household Services (not done by self)'), + ('090101', 'Using interior cleaning services'), + ('090102', 'Using meal preparation services'), + ('090103', 'Using clothing repair and cleaning services'), + ('090104', 'Waiting associated with using household services'), + ('090199', 'Using household services, n.e.c.*'), + ('0902', 'Home Maint/Repair/Decor/Construction (not done by self)'), + ('090201', 'Using home maint/repair/décor/construction svcs'), + ('090202', 'Waiting associated w/ home main/repair/décor/constr'), + ('090299', 'Using home maint/repair/décor/constr services, n.e.c.*'), + ('0903', 'Pet Services (not done by self, not vet)'), + ('090301', 'Using pet services'), + ('090302', 'Waiting associated with pet services'), + ('090399', 'Using pet services, n.e.c.*'), + ('0904', 'Lawn & Garden Services (not done by self)'), + ('090401', 'Using lawn and garden services'), + ('090402', 'Waiting associated with using lawn & garden services'), + ('090499', 'Using lawn and garden services, n.e.c.*'), + ('0905', 'Vehicle Maint. & Repair Services (not done by self)'), + ('090501', 'Using vehicle maintenance or repair services'), + ('090502', 'Waiting associated with vehicle main. or repair svcs'), + ('090599', 'Using vehicle maint. & repair svcs, n.e.c.*'), + ('0999', 'Household Services, n.e.c.*'), + ('099999', 'Using household services, n.e.c.*'), + ('10', 'Government Services & Civic Obligations'), + ('1001', 'Using Government Services'), + ('100101', 'Using police and fire services'), + ('100102', 'Using social services'), + ('100103', 'Obtaining licenses & paying fines, fees, taxes'), + ('100199', 'Using government services, n.e.c.*'), + ('1002', 'Civic Obligations & Participation'), + ('100201', 'Civic obligations & participation'), + ('100299', 'Civic obligations & participation, n.e.c.*'), + ('1003', 'Waiting Associated w/Govt Svcs or Civic Obligations'), + ('100304', 'Waiting associated with using government services'), + ('100305', 'Waiting associated with civic obligations & participation'), + ('100399', 'Waiting assoc. w/govt svcs or civic obligations, n.e.c.*'), + ('1004', 'Security Procedures Rel. to Govt Svcs/Civic Obligations'), + ('100401', 'Security procedures rel. to govt svcs/civic obligations'), + ('100499', + 'Security procedures rel. to govt svcs/civic obligations, n.e.c.*'), + ('1099', 'Government Services, n.e.c.*'), + ('109999', 'Government services, n.e.c.*'), + ('11', 'Eating and Drinking'), + ('1101', 'Eating and Drinking'), + ('110101', 'Eating and drinking'), + ('110199', 'Eating and drinking, n.e.c.*'), + ('1102', 'Waiting associated with eating & drinking'), + ('110201', 'Waiting associated w/eating & drinking'), + ('110299', 'Waiting associated with eating & drinking, n.e.c.*'), + ('1199', 'Eating and Drinking, n.e.c.*'), + ('119999', 'Eating and drinking, n.e.c.*'), + ('12', 'Socializing, Relaxing, and Leisure'), + ('1201', 'Socializing and Communicating'), + ('120101', 'Socializing and communicating with others'), + ('120199', 'Socializing and communicating, n.e.c.*'), + ('1202', 'Attending or Hosting Social Events'), + ('120201', 'Attending or hosting parties/receptions/ceremonies'), + ('120202', 'Attending meetings for personal interest (not volunteering)'), + ('120299', 'Attending/hosting social events, n.e.c.*'), + ('1203', 'Relaxing and Leisure'), + ('120301', 'Relaxing, thinking'), + ('120302', 'Tobacco and drug use'), + ('120303', 'Television and movies (not religious)'), + ('120304', 'Television (religious)'), + ('120305', 'Listening to the radio'), + ('120306', 'Listening to/playing music (not radio)'), + ('120307', 'Playing games'), + ('120308', 'Computer use for leisure (excluding games)'), + ('120309', 'Arts and crafts as a hobby'), + ('120310', 'Collecting as a hobby'), + ('120311', 'Hobbies, except arts & crafts and collecting'), + ('120312', 'Reading for personal interest'), + ('120313', 'Writing for personal interest'), + ('120399', 'Relaxing and leisure, n.e.c.*'), + ('1204', 'Arts and Entertainment (other than sports)'), + ('120401', 'Attending performing arts'), + ('120402', 'Attending museums'), + ('120403', 'Attending movies/film'), + ('120404', 'Attending gambling establishments'), + ('120405', 'Security procedures rel. to arts & entertainment'), + ('120499', 'Arts and entertainment, n.e.c.*'), + ('1205', 'Waiting Associated with Socializing, Relaxing, and Leisure'), + ('120501', 'Waiting assoc. w/socializing & communicating'), + ('120502', 'Waiting assoc. w/attending/hosting social events'), + ('120503', 'Waiting associated with relaxing/leisure'), + ('120504', 'Waiting associated with arts & entertainment'), + ('120599', 'Waiting associated with socializing, n.e.c.*'), + ('1299', 'Socializing, Relaxing, and Leisure, n.e.c.*'), + ('129999', 'Socializing, relaxing, and leisure, n.e.c.*'), + ('13', 'Sports, Exercise, and Recreation'), + ('1301', 'Participating in Sports, Exercise, or Recreation'), + ('130101', 'Doing aerobics'), + ('130102', 'Playing baseball'), + ('130103', 'Playing basketball'), + ('130104', 'Biking'), + ('130105', 'Playing billiards'), + ('130106', 'Boating'), + ('130107', 'Bowling'), + ('130108', 'Climbing, spelunking, caving'), + ('130109', 'Dancing'), + ('130110', 'Participating in equestrian sports'), + ('130111', 'Fencing'), + ('130112', 'Fishing'), + ('130113', 'Playing football'), + ('130114', 'Golfing'), + ('130115', 'Doing gymnastics'), + ('130116', 'Hiking'), + ('130117', 'Playing hockey'), + ('130118', 'Hunting'), + ('130119', 'Participating in martial arts'), + ('130120', 'Playing racquet sports'), + ('130121', 'Participating in rodeo competitions'), + ('130122', 'Rollerblading'), + ('130123', 'Playing rugby'), + ('130124', 'Running'), + ('130125', 'Skiing, ice skating, snowboarding'), + ('130126', 'Playing soccer'), + ('130127', 'Softball'), + ('130128', 'Using cardiovascular equipment'), + ('130129', 'Vehicle touring/racing'), + ('130130', 'Playing volleyball'), + ('130131', 'Walking'), + ('130132', 'Participating in water sports'), + ('130133', 'Weightlifting/strength training'), + ('130134', 'Working out, unspecified'), + ('130135', 'Wrestling'), + ('130136', 'Doing yoga'), + ('130199', 'Playing sports n.e.c.*'), + ('1302', 'Attending Sporting/Recreational Events'), + ('130201', 'Watching aerobics'), + ('130202', 'Watching baseball'), + ('130203', 'Watching basketball'), + ('130204', 'Watching biking'), + ('130205', 'Watching billiards'), + ('130206', 'Watching boating'), + ('130207', 'Watching bowling'), + ('130208', 'Watching climbing, spelunking, caving'), + ('130209', 'Watching dancing'), + ('130210', 'Watching equestrian sports'), + ('130211', 'Watching fencing'), + ('130212', 'Watching fishing'), + ('130213', 'Watching football'), + ('130214', 'Watching golfing'), + ('130215', 'Watching gymnastics'), + ('130216', 'Watching hockey'), + ('130217', 'Watching martial arts'), + ('130218', 'Watching racquet sports'), + ('130219', 'Watching rodeo competitions'), + ('130220', 'Watching rollerblading'), + ('130221', 'Watching rugby'), + ('130222', 'Watching running'), + ('130223', 'Watching skiing, ice skating, snowboarding'), + ('130224', 'Watching soccer'), + ('130225', 'Watching softball'), + ('130226', 'Watching vehicle touring/racing'), + ('130227', 'Watching volleyball'), + ('130228', 'Watching walking'), + ('130229', 'Watching water sports'), + ('130230', 'Watching weightlifting/strength training'), + ('130231', 'Watching people working out, unspecified'), + ('130232', 'Watching wrestling'), + ('130299', 'Attending sporting events, n.e.c.*'), + ('1303', 'Waiting Associated with Sports, Exercise, & Recreation'), + ('130301', 'Waiting related to playing sports or exercising'), + ('130302', 'Waiting related to attending sporting events'), + ('130399', 'Waiting associated with sports, exercise, & recreation, n.e.c.*'), + ('1304', 'Security Procedures Rel. to Sports, Exercise, & Recreation'), + ('130401', 'Security related to playing sports or exercising'), + ('130402', 'Security related to attending sporting events'), + ('130499', 'Security related to sports, exercise, & recreation, n.e.c.*'), + ('1399', 'Sports, Exercise, & Recreation, n.e.c.*'), + ('139999', 'Sports, exercise, & recreation, n.e.c.*'), + ('14', 'Religious and Spiritual Activities'), + ('1401', 'Religious/Spiritual Practices'), + ('140101', 'Attending religious services'), + ('140102', 'Participation in religious practices'), + ('140103', 'Waiting associated w/religious & spiritual activities'), + ('140104', 'Security procedures rel. to religious & spiritual activities'), + ('140105', 'Religious education activities'), + ('1499', 'Religious and Spiritual Activities, n.e.c.*'), + ('149999', 'Religious and spiritual activities, n.e.c.*'), + ('15', 'Volunteer Activities'), + ('1501', 'Administrative & Support Activities'), + ('150101', 'Computer use'), + ('150102', 'Organizing and preparing'), + ('150103', 'Reading'), + ('150104', 'Telephone calls (except hotline counseling)'), + ('150105', 'Writing'), + ('150106', 'Fundraising'), + ('150199', 'Administrative & support activities, n.e.c.*'), + ('1502', 'Social Service & Care Activities (Except Medical)'), + ('150201', 'Food preparation, presentation, clean-up'), + ('150202', 'Collecting & delivering clothing & other goods'), + ('150203', 'Providing care'), + ('150204', 'Teaching, leading, counseling, mentoring'), + ('150299', 'Social service & care activities, n.e.c.*'), + ('1503', 'Indoor & Outdoor Maintenance, Building, & Clean-up Activities'), + ('150301', 'Building houses, wildlife sites, & other structures'), + ('150302', 'Indoor & outdoor maintenance, repair, & clean-up'), + ('150399', + 'Indoor & outdoor maintenance, building & clean-up activities, n.e.c.*'), + ('1504', 'Participating in Performance & Cultural Activities'), + ('150401', 'Performing'), + ('150402', 'Serving at volunteer events & cultural activities'), + ('150499', 'Participating in performance & cultural activities, n.e.c.*'), + ('1505', 'Attending Meetings, Conferences, & Training'), + ('150501', 'Attending meetings, conferences, & training'), + ('150599', 'Attending meetings, conferences, & training, n.e.c.*'), + ('1506', 'Public Health & Safety Activities'), + ('150601', 'Public health activities'), + ('150602', 'Public safety activities'), + ('150699', 'Public health & safety activities, n.e.c.*'), + ('1507', 'Waiting Associated with Volunteer Activities'), + ('150701', 'Waiting associated with volunteer activities'), + ('150799', 'Waiting associated with volunteer activities, n.e.c.*'), + ('1508', 'Security procedures related to volunteer activities'), + ('150801', 'Security procedures related to volunteer activities'), + ('150899', 'Security procedures related to volunteer activities, n.e.c.*'), + ('1599', 'Volunteer Activities, n.e.c.*'), + ('159999', 'Volunteer activities, n.e.c.*'), + ('16', 'Telephone Calls'), + ('1601', 'Telephone Calls (to or from)'), + ('160101', 'Telephone calls to/from family members'), + ('160102', 'Telephone calls to/from friends, neighbors, or acquaintances'), + ('160103', 'Telephone calls to/from education services providers'), + ('160104', 'Telephone calls to/from salespeople'), + ('160105', + 'Telephone calls to/from professional or personal care svcs providers'), + ('160106', 'Telephone calls to/from household services providers'), + ('160107', 'Telephone calls to/from paid child or adult care providers'), + ('160108', 'Telephone calls to/from government officials'), + ('160199', 'Telephone calls (to or from), n.e.c.*'), + ('1602', 'Waiting Associated with Telephone Calls'), + ('160201', 'Waiting associated with telephone calls'), + ('160299', 'Waiting associated with telephone calls, n.e.c.*'), + ('1699', 'Telephone Calls, n.e.c.*'), + ('169999', 'Telephone calls, n.e.c.*'), + ('18', 'Traveling'), + ('1801', 'Travel Related to Personal Care'), + ('180101', 'Travel related to personal care'), + ('180199', 'Travel related to personal care, n.e.c.*'), + ('1802', 'Travel Related to Household Activities'), + ('180201', 'Travel related to housework'), + ('180202', 'Travel related to food & drink prep., clean-up, & presentation'), + ('180203', 'Travel related to interior maintenance, repair, & decoration'), + ('180204', 'Travel related to exterior maintenance, repair, & decoration'), + ('180205', 'Travel related to lawn, garden, and houseplant care'), + ('180206', 'Travel related to care for animals and pets (not vet care)'), + ('180207', 'Travel related to vehicle care & maintenance (by self)'), + ('180208', + 'Travel related to appliance, tool, and toy set-up, repair, & maintenance ' + '(by self)'), + ('180209', 'Travel related to household management'), + ('180299', 'Travel related to household activities, n.e.c.*'), + ('1803', 'Travel Related to Caring For & Helping HH Members'), + ('180301', 'Travel related to caring for & helping hh children'), + ('180302', "Travel related to hh children's education"), + ('180303', "Travel related to hh children's health"), + ('180304', 'Travel related to caring for hh adults'), + ('180305', 'Travel related to helping hh adults'), + ('180399', 'Travel rel. to caring for & helping hh members, n.e.c.*'), + ('1804', 'Travel Related to Caring For & Helping Nonhh Members'), + ('180401', 'Travel related to caring for and helping nonhh children'), + ('180402', "Travel related to nonhh children's education"), + ('180403', "Travel related to nonhh children's health"), + ('180404', 'Travel related to caring for nonhh adults'), + ('180405', 'Travel related to helping nonhh adults'), + ('180499', 'Travel rel. to caring for & helping nonhh members, n.e.c.*'), + ('1805', 'Travel Related to Work'), + ('180501', 'Travel related to working'), + ('180502', 'Travel related to work-related activities'), + ('180503', 'Travel related to income-generating activities'), + ('180504', 'Travel related to job search & interviewing'), + ('180599', 'Travel related to work, n.e.c.*'), + ('1806', 'Travel Related to Education'), + ('180601', 'Travel related to taking class'), + ('180602', 'Travel related to extracurricular activities (ex. Sports)'), + ('180603', 'Travel related to research/homework'), + ('180604', 'Travel related to registration/administrative activities'), + ('180699', 'Travel related to education, n.e.c.*'), + ('1807', 'Travel Related to Consumer Purchases'), + ('180701', 'Travel related to grocery shopping'), + ('180702', 'Travel related to purchasing gas'), + ('180703', 'Travel related to purchasing food (not groceries)'), + ('180704', 'Travel related to shopping, ex groceries, food, and gas'), + ('180799', 'Travel related to consumer purchases, n.e.c.*'), + ('1808', 'Travel Related to Using Professional and Personal Care Services'), + ('180801', 'Travel related to using childcare services'), + ('180802', 'Travel related to using financial services and banking'), + ('180803', 'Travel related to using legal services'), + ('180804', 'Travel related to using medical services'), + ('180805', 'Travel related to using personal care services'), + ('180806', 'Travel related to using real estate services'), + ('180807', 'Travel related to using veterinary services'), + ('180899', 'Travel rel. to using prof. & personal care services, n.e.c.*'), + ('1809', 'Travel Related to Using Household Services'), + ('180901', 'Travel related to using household services'), + ('180902', + 'Travel related to using home main./repair/décor./construction svcs'), + ('180903', 'Travel related to using pet services (not vet)'), + ('180904', 'Travel related to using lawn and garden services'), + ('180905', 'Travel related to using vehicle maintenance & repair services'), + ('180999', 'Travel related to using household services, n.e.c.*'), + ('1810', 'Travel Related to Using Govt Services & Civic Obligations'), + ('181001', 'Travel related to using government services'), + ('181002', 'Travel related to civic obligations & participation'), + ('181099', 'Travel rel. to govt svcs & civic obligations, n.e.c.*'), + ('1811', 'Travel Related to Eating and Drinking'), + ('181101', 'Travel related to eating and drinking'), + ('181199', 'Travel related to eating and drinking, n.e.c.*'), + ('1812', 'Travel Related to Socializing, Relaxing, and Leisure'), + ('181201', 'Travel related to socializing and communicating'), + ('181202', 'Travel related to attending or hosting social events'), + ('181203', 'Travel related to relaxing and leisure'), + ('181204', 'Travel related to arts and entertainment'), + ('181205', 'Travel as a form of entertainment'), + ('181299', 'Travel rel. to socializing, relaxing, & leisure, n.e.c.*'), + ('1813', 'Travel Related to Sports, Exercise, & Recreation'), + ('181301', 'Travel related to participating in sports/exercise/recreation'), + ('181302', 'Travel related to attending sporting/recreational events'), + ('181399', 'Travel related to sports, exercise, & recreation, n.e.c.*'), + ('1814', 'Travel Related to Religious/Spiritual Activities'), + ('181401', 'Travel related to religious/spiritual practices'), + ('181499', 'Travel rel. to religious/spiritual activities, n.e.c.*'), + ('1815', 'Travel Related to Volunteer Activities'), + ('181501', 'Travel related to volunteering'), + ('181599', 'Travel related to volunteer activities, n.e.c.*'), + ('1816', 'Travel Related to Telephone Calls'), + ('181601', 'Travel related to phone calls'), + ('181699', 'Travel rel. to phone calls, n.e.c.*'), + ('1818', 'Security Procedures Related to Traveling'), + ('181801', 'Security procedures related to traveling'), + ('181899', 'Security procedures related to traveling, n.e.c.*'), + ('1899', 'Traveling, n.e.c.*'), + ('189999', 'Traveling, n.e.c.*'), + ('50', 'Data Codes'), + ('5001', 'Unable to Code'), + ('500101', 'Insufficient detail in verbatim'), + ('500103', 'Missing travel or destination'), + ('500105', + 'Respondent refused to provide information/"none of your business"'), + ('500106', "Gap/can't remember"), + ('500107', 'Unable to code activity at 1st tier'), + ('500199', 'Data codes, n.e.c.*'), + ('5099', 'Data codes, n.e.c.*')] diff --git a/parse_activities.py b/parse_activities.py new file mode 100644 index 0000000..8af1d01 --- /dev/null +++ b/parse_activities.py @@ -0,0 +1,728 @@ +import re +from pprint import pprint as pprint + +level = -2 # can be 0, 2, or 4; start at -2 for first run through +prev_level = -2 +step = 2 +prev_num = 1 +nine_nine = 0 +curr_prefix = '' + +def which_level(num, desc): + """Returns which level of hierarchy we're in (0, 2, or 4)""" + global prev_num + global level + global nine_nine + global prev_level + + prev_level = level + num = int(num) + if num == 99 and prev_num == 99: + nine_nine += 1 + elif num == 99: + # print('nine_nine == 1') + nine_nine = 1 + # else: + # nine_nine = 0 + if nine_nine == 1 and desc.startswith('Religious and Spiritual Activities, n.e.c.*'): + nine_nine = 2 + if nine_nine == 4: + # print('nine_nine == 4') + level -= step*2 + nine_nine = 0 + elif nine_nine == 2: + # print('nine_nine == 2') + level -= step + elif nine_nine == 3: + # print('nine_nine == 3') + nine_nine += 1 + level += step + elif num == 1: + # print('num:{}, prev_num:{}'.format(num, prev_num)) + # print('num==1') + level += step + elif num == 4 and desc.startswith('Waiting associated with using government'): + # print('num==4') + level += step + elif num > prev_num: + pass + else: + level -= step + prev_num = num + return level + +def full_code(num): + """Returns full code for given line, remembering previous""" + global curr_prefix + global level + global prev_level + global step + + #print(prev_level-level) + + if level == prev_level: + curr_prefix = curr_prefix[:-step] + num + elif level > prev_level: + curr_prefix = curr_prefix + num + elif level < prev_level: + if level == 0: + curr_prefix = num + else: + curr_prefix = curr_prefix[:(prev_level - level)] + num + return curr_prefix + + + + +line = [] +codes_list = [] +codes_dict = {} +regex = re.compile('(?P\s*\d{2})\s+(?P.+)\n') # FIXME: How to remove spurious page numbers? +with open('activities.txt') as f: + line = f.readline() + while line: + match = re.match(regex, line) + if match: + code = match.groupdict()['code'] + desc = match.groupdict()['desc'] + curr_lev = which_level(code, desc) + full = full_code(code) + #print(curr_lev, (6-curr_lev)*' ', code) + #if curr_lev in [0,2]: + #print(curr_lev, curr_lev*' ', code, desc) + #print(desc) + #print(level, full, code, desc) + codes_list.append((full, desc)) + #codes_dict[full] = desc + line = f.readline() + +# codes_dict = {full: desc for (full, desc) in codes_list} +# categories = {full: desc for (full, desc) in codes_list if len(full)==2} +# sub_categories = {full: desc for (full, desc) in codes_list if len(full)==4} +# activities = {full: desc for (full, desc) in codes_list if len(full)==6} +# pprint(codes_list) + + + +# ATUS 2013 Lexicon as a Python list +# Converted from http://www.bls.gov/tus/lexiconnoex2013.pdf from the +# United States Bureau of Labor Statistics - American Time Use Survey +# 5/28/2015 +# +# The following dictionary comprehensions may also be useful: +# +# codes_dict = {num: desc for (num, desc) in atus_codes_list} +# categories = {num: desc for (num, desc) in atus_codes_list if len(num)==2} +# sub_categories = {num: desc for (num, desc) in atus_codes_list if len(num)==4} +# activities = {num: desc for (num, desc) in atus_codes_list if len(num)==6} + +atus_codes_list = [ + ('t01', 'Personal Care'), + ('t0101', 'Sleeping'), + ('t010101', 'Sleeping'), + ('t010102', 'Sleeplessness'), + ('t010199', 'Sleeping, n.e.c.*'), + ('t0102', 'Grooming'), + ('t010201', 'Washing, dressing and grooming oneself'), + ('t010299', 'Grooming, n.e.c.*'), + ('t0103', 'Health-related Self Care'), + ('t010301', 'Health-related self care'), + ('t010399', 'Self care, n.e.c.*'), + ('t0104', 'Personal Activities'), + ('t010401', 'Personal/Private activities'), + ('t010499', 'Personal activities, n.e.c.*'), + ('t0105', 'Personal Care Emergencies'), + ('t010501', 'Personal emergencies'), + ('t010599', 'Personal care emergencies, n.e.c.*'), + ('t0199', 'Personal Care, n.e.c.*'), + ('t019999', 'Personal care, n.e.c.*'), + ('t02', 'Household Activities'), + ('t0201', 'Housework'), + ('t020101', 'Interior cleaning'), + ('t020102', 'Laundry'), + ('t020103', 'Sewing, repairing, & maintaining textiles'), + ('t020104', 'Storing interior hh items, inc. food'), + ('t020199', 'Housework, n.e.c.*'), + ('t0202', 'Food & Drink Prep., Presentation, & Clean-up'), + ('t020201', 'Food and drink preparation'), + ('t020202', 'Food presentation'), + ('t020203', 'Kitchen and food clean-up'), + ('t020299', 'Food & drink prep, presentation, & clean-up, n.e.c.*'), + ('t0203', 'Interior Maintenance, Repair, & Decoration'), + ('t020301', 'Interior arrangement, decoration, & repairs'), + ('t020302', 'Building and repairing furniture'), + ('t020303', 'Heating and cooling'), + ('t020399', 'Interior maintenance, repair, & decoration, n.e.c.*'), + ('t0204', 'Exterior Maintenance, Repair, & Decoration'), + ('t020401', 'Exterior cleaning'), + ('t020402', 'Exterior repair, improvements, & decoration'), + ('t020499', 'Exterior maintenance, repair & decoration, n.e.c.*'), + ('t0205', 'Lawn, Garden, and Houseplants'), + ('t020501', 'Lawn, garden, and houseplant care'), + ('t020502', 'Ponds, pools, and hot tubs'), + ('t020599', 'Lawn and garden, n.e.c.*'), + ('t0206', 'Animals and Pets'), + ('t020601', 'Care for animals and pets (not veterinary care)'), + ('t020602', 'Walking / exercising / playing with animals'), + ('t020699', 'Pet and animal care, n.e.c.*'), + ('t0207', 'Vehicles'), + ('t020701', 'Vehicle repair and maintenance (by self)'), + ('t020799', 'Vehicles, n.e.c.*'), + ('t0208', 'Appliances, Tools, and Toys'), + ('t020801', + 'Appliance, tool, and toy set-up, repair, & maintenance (by self)'), + ('t020899', 'Appliances and tools, n.e.c.*'), + ('t0209', 'Household Management'), + ('t020901', 'Financial management'), + ('t020902', 'Household & personal organization and planning'), + ('t020903', 'HH & personal mail & messages (except e-mail)'), + ('t020904', 'HH & personal e-mail and messages'), + ('t020905', 'Home security'), + ('t020999', 'Household management, n.e.c.*'), + ('t0299', 'Household Activities, n.e.c.*'), + ('t029999', 'Household activities, n.e.c.*'), + ('t03', 'Caring For & Helping Household (HH) Members'), + ('t0301', 'Caring For & Helping HH Children'), + ('t030101', 'Physical care for hh children'), + ('t030102', 'Reading to/with hh children'), + ('t030103', 'Playing with hh children, not sports'), + ('t030104', 'Arts and crafts with hh children'), + ('t030105', 'Playing sports with hh children'), + ('t030106', 'Talking with/listening to hh children'), + ('t030108', 'Organization & planning for hh children'), + ('t030109', 'Looking after hh children (as a primary activity)'), + ('t030110', "Attending hh children's events"), + ('t030111', 'Waiting for/with hh children'), + ('t030112', 'Picking up/dropping off hh children'), + ('t030199', 'Caring for & helping hh children, n.e.c.*'), + ('t0302', "Activities Related to HH Children's Education"), + ('t030201', 'Homework (hh children)'), + ('t030202', 'Meetings and school conferences (hh children)'), + ('t030203', 'Home schooling of hh children'), + ('t030204', "Waiting associated with hh children's education"), + ('t030299', "Activities related to hh child's education, n.e.c.*"), + ('t0303', "Activities Related to HH Children's Health"), + ('t030301', 'Providing medical care to hh children'), + ('t030302', 'Obtaining medical care for hh children'), + ('t030303', "Waiting associated with hh children's health"), + ('t030399', "Activities related to hh child's health, n.e.c.*"), + ('t0304', 'Caring For Household Adults'), + ('t030401', 'Physical care for hh adults'), + ('t030402', 'Looking after hh adult (as a primary activity)'), + ('t030403', 'Providing medical care to hh adult'), + ('t030404', 'Obtaining medical and care services for hh adult'), + ('t030405', 'Waiting associated with caring for household adults'), + ('t030499', 'Caring for household adults, n.e.c.*'), + ('t0305', 'Helping Household Adults'), + ('t030501', 'Helping hh adults'), + ('t030502', 'Organization & planning for hh adults'), + ('t030503', 'Picking up/dropping off hh adult'), + ('t030504', 'Waiting associated with helping hh adults'), + ('t030599', 'Helping household adults, n.e.c.*'), + ('t0399', 'Caring For & Helping HH Members, n.e.c.*'), + ('t039999', 'Caring for & helping hh members, n.e.c.*'), + ('t04', 'Caring For & Helping Nonhousehold (NonHH) Members'), + ('t0401', 'Caring For & Helping NonHH Children'), + ('t040101', 'Physical care for nonhh children'), + ('t040102', 'Reading to/with nonhh children'), + ('t040103', 'Playing with nonhh children, not sports'), + ('t040104', 'Arts and crafts with nonhh children'), + ('t040105', 'Playing sports with nonhh children'), + ('t040106', 'Talking with/listening to nonhh children'), + ('t040108', 'Organization & planning for nonhh children'), + ('t040109', 'Looking after nonhh children (as primary activity)'), + ('t040110', "Attending nonhh children's events"), + ('t040111', 'Waiting for/with nonhh children'), + ('t040112', 'Dropping off/picking up nonhh children'), + ('t040199', 'Caring for and helping nonhh children, n.e.c.*'), + ('t0402', "Activities Related to Nonhh Children's Education"), + ('t040201', 'Homework (nonhh children)'), + ('t040202', 'Meetings and school conferences (nonhh children)'), + ('t040203', 'Home schooling of nonhh children'), + ('t040204', "Waiting associated with nonhh children's education"), + ('t040299', "Activities related to nonhh child's educ., n.e.c.*"), + ('t0403', "Activities Related to Nonhh Children's Health"), + ('t040301', 'Providing medical care to nonhh children'), + ('t040302', 'Obtaining medical care for nonhh children'), + ('t040303', "Waiting associated with nonhh children's health"), + ('t040399', "Activities related to nonhh child's health, n.e.c.*"), + ('t0404', 'Caring For Nonhousehold Adults'), + ('t040401', 'Physical care for nonhh adults'), + ('t040402', 'Looking after nonhh adult (as a primary activity)'), + ('t040403', 'Providing medical care to nonhh adult'), + ('t040404', 'Obtaining medical and care services for nonhh adult'), + ('t040405', 'Waiting associated with caring for nonhh adults'), + ('t040499', 'Caring for nonhh adults, n.e.c.*'), + ('t0405', 'Helping Nonhousehold Adults'), + ('t040501', 'Housework, cooking, & shopping assistance for nonhh adults'), + ('t040502', 'House & lawn maintenance & repair assistance for nonhh adults'), + ('t040503', 'Animal & pet care assistance for nonhh adults'), + ('t040504', + 'Vehicle & appliance maintenance/repair assistance for nonhh adults'), + ('t040505', 'Financial management assistance for nonhh adults'), + ('t040506', 'Household management & paperwork assistance for nonhh adults'), + ('t040507', 'Picking up/dropping off nonhh adult'), + ('t040508', 'Waiting associated with helping nonhh adults'), + ('t040599', 'Helping nonhh adults, n.e.c.*'), + ('t0499', 'Caring For & Helping NonHH Members, n.e.c.*'), + ('t049999', 'Caring for & helping nonhh members, n.e.c.*'), + ('t05', 'Work & Work-Related Activities'), + ('t0501', 'Working'), + ('t050101', 'Work, main job'), + ('t050102', 'Work, other job(s)'), + ('t050103', 'Security procedures related to work'), + ('t050104', 'Waiting associated with working'), + ('t050199', 'Working, n.e.c.*'), + ('t0502', 'Work-Related Activities'), + ('t050201', 'Socializing, relaxing, and leisure as part of job'), + ('t050202', 'Eating and drinking as part of job'), + ('t050203', 'Sports and exercise as part of job'), + ('t050204', 'Security procedures as part of job'), + ('t050205', 'Waiting associated with work-related activities'), + ('t050299', 'Work-related activities, n.e.c.*'), + ('t0503', 'Other Income-generating Activities'), + ('t050301', 'Income-generating hobbies, crafts, and food'), + ('t050302', 'Income-generating performances'), + ('t050303', 'Income-generating services'), + ('t050304', 'Income-generating rental property activities'), + ('t050305', 'Waiting associated with other income-generating activities'), + ('t050399', 'Other income-generating activities, n.e.c.*'), + ('t0504', 'Job Search and Interviewing'), + ('t050401', 'Job search activities'), + ('t050403', 'Job interviewing'), + ('t050404', 'Waiting associated with job search or interview'), + ('t050405', 'Security procedures rel. to job search/interviewing'), + ('t050499', 'Job search and Interviewing, n.e.c.*'), + ('t0599', 'Work and Work-Related Activities, n.e.c.*'), + ('t059999', 'Work and work-related activities, n.e.c.*'), + ('t06', 'Education'), + ('t0601', 'Taking Class'), + ('t060101', 'Taking class for degree, certification, or licensure'), + ('t060102', 'Taking class for personal interest'), + ('t060103', 'Waiting associated with taking classes'), + ('t060104', 'Security procedures rel. to taking classes'), + ('t060199', 'Taking class, n.e.c.*'), + ('t0602', 'Extracurricular School Activities (Except Sports)'), + ('t060201', 'Extracurricular club activities'), + ('t060202', 'Extracurricular music & performance activities'), + ('t060203', 'Extracurricular student government activities'), + ('t060204', 'Waiting associated with extracurricular activities'), + ('t060299', 'Education-related extracurricular activities, n.e.c.*'), + ('t0603', 'Research/Homework'), + ('t060301', + 'Research/homework for class for degree, certification, or licensure'), + ('t060302', 'Research/homework for class for pers. interest'), + ('t060303', 'Waiting associated with research/homework'), + ('t060399', 'Research/homework n.e.c.*'), + ('t0604', 'Registration/Administrative activities'), + ('t060401', + 'Administrative activities: class for degree, certification, or licensure'), + ('t060402', 'Administrative activities: class for personal interest'), + ('t060403', 'Waiting associated w/admin. activities (education)'), + ('t060499', 'Administrative for education, n.e.c.*'), + ('t0699', 'Education, n.e.c.*'), + ('t069999', 'Education, n.e.c.*'), + ('t07', 'Consumer Purchases'), + ('t0701', 'Shopping (Store, Telephone, Internet)'), + ('t070101', 'Grocery shopping'), + ('t070102', 'Purchasing gas'), + ('t070103', 'Purchasing food (not groceries)'), + ('t070104', 'Shopping, except groceries, food and gas'), + ('t070105', 'Waiting associated with shopping'), + ('t070199', 'Shopping, n.e.c.*'), + ('t0702', 'Researching Purchases'), + ('t070201', 'Comparison shopping'), + ('t070299', 'Researching purchases, n.e.c.*'), + ('t0703', 'Security Procedures Rel. to Consumer Purchases'), + ('t070301', 'Security procedures rel. to consumer purchases'), + ('t070399', 'Security procedures rel. to consumer purchases, n.e.c.*'), + ('t0799', 'Consumer Purchases, n.e.c.*'), + ('t079999', 'Consumer purchases, n.e.c.*'), + ('t08', 'Professional & Personal Care Services'), + ('t0801', 'Childcare Services'), + ('t080101', 'Using paid childcare services'), + ('t080102', 'Waiting associated w/purchasing childcare svcs'), + ('t080199', 'Using paid childcare services, n.e.c.*'), + ('t0802', 'Financial Services and Banking'), + ('t080201', 'Banking'), + ('t080202', 'Using other financial services'), + ('t080203', 'Waiting associated w/banking/financial services'), + ('t080299', 'Using financial services and banking, n.e.c.*'), + ('t0803', 'Legal Services'), + ('t080301', 'Using legal services'), + ('t080302', 'Waiting associated with legal services'), + ('t080399', 'Using legal services, n.e.c.*'), + ('t0804', 'Medical and Care Services'), + ('t080401', 'Using health and care services outside the home'), + ('t080402', 'Using in-home health and care services'), + ('t080403', 'Waiting associated with medical services'), + ('t080499', 'Using medical services, n.e.c.*'), + ('t0805', 'Personal Care Services'), + ('t080501', 'Using personal care services'), + ('t080502', 'Waiting associated w/personal care services'), + ('t080599', 'Using personal care services, n.e.c.*'), + ('t0806', 'Real Estate'), + ('t080601', 'Activities rel. to purchasing/selling real estate'), + ('t080602', 'Waiting associated w/purchasing/selling real estate'), + ('t080699', 'Using real estate services, n.e.c.*'), + ('t0807', 'Veterinary Services (excluding grooming)'), + ('t080701', 'Using veterinary services'), + ('t080702', 'Waiting associated with veterinary services'), + ('t080799', 'Using veterinary services, n.e.c.*'), + ('t0808', 'Security Procedures Rel. to Professional/Personal Svcs.'), + ('t080801', 'Security procedures rel. to professional/personal svcs.'), + ('t080899', 'Security procedures rel. to professional/personal svcs n.e.c.*'), + ('t0899', 'Professional and Personal Services, n.e.c.*'), + ('t089999', 'Professional and personal services, n.e.c.*'), + ('t09', 'Household Services'), + ('t0901', 'Household Services (not done by self)'), + ('t090101', 'Using interior cleaning services'), + ('t090102', 'Using meal preparation services'), + ('t090103', 'Using clothing repair and cleaning services'), + ('t090104', 'Waiting associated with using household services'), + ('t090199', 'Using household services, n.e.c.*'), + ('t0902', 'Home Maint/Repair/Decor/Construction (not done by self)'), + ('t090201', 'Using home maint/repair/décor/construction svcs'), + ('t090202', 'Waiting associated w/ home main/repair/décor/constr'), + ('t090299', 'Using home maint/repair/décor/constr services, n.e.c.*'), + ('t0903', 'Pet Services (not done by self, not vet)'), + ('t090301', 'Using pet services'), + ('t090302', 'Waiting associated with pet services'), + ('t090399', 'Using pet services, n.e.c.*'), + ('t0904', 'Lawn & Garden Services (not done by self)'), + ('t090401', 'Using lawn and garden services'), + ('t090402', 'Waiting associated with using lawn & garden services'), + ('t090499', 'Using lawn and garden services, n.e.c.*'), + ('t0905', 'Vehicle Maint. & Repair Services (not done by self)'), + ('t090501', 'Using vehicle maintenance or repair services'), + ('t090502', 'Waiting associated with vehicle main. or repair svcs'), + ('t090599', 'Using vehicle maint. & repair svcs, n.e.c.*'), + ('t0999', 'Household Services, n.e.c.*'), + ('t099999', 'Using household services, n.e.c.*'), + ('t10', 'Government Services & Civic Obligations'), + ('t1001', 'Using Government Services'), + ('t100101', 'Using police and fire services'), + ('t100102', 'Using social services'), + ('t100103', 'Obtaining licenses & paying fines, fees, taxes'), + ('t100199', 'Using government services, n.e.c.*'), + ('t1002', 'Civic Obligations & Participation'), + ('t100201', 'Civic obligations & participation'), + ('t100299', 'Civic obligations & participation, n.e.c.*'), + ('t1003', 'Waiting Associated w/Govt Svcs or Civic Obligations'), + ('t100304', 'Waiting associated with using government services'), + ('t100305', 'Waiting associated with civic obligations & participation'), + ('t100399', 'Waiting assoc. w/govt svcs or civic obligations, n.e.c.*'), + ('t1004', 'Security Procedures Rel. to Govt Svcs/Civic Obligations'), + ('t100401', 'Security procedures rel. to govt svcs/civic obligations'), + ('t100499', + 'Security procedures rel. to govt svcs/civic obligations, n.e.c.*'), + ('t1099', 'Government Services, n.e.c.*'), + ('t109999', 'Government services, n.e.c.*'), + ('t11', 'Eating and Drinking'), + ('t1101', 'Eating and Drinking'), + ('t110101', 'Eating and drinking'), + ('t110199', 'Eating and drinking, n.e.c.*'), + ('t1102', 'Waiting associated with eating & drinking'), + ('t110201', 'Waiting associated w/eating & drinking'), + ('t110299', 'Waiting associated with eating & drinking, n.e.c.*'), + ('t1199', 'Eating and Drinking, n.e.c.*'), + ('t119999', 'Eating and drinking, n.e.c.*'), + ('t12', 'Socializing, Relaxing, and Leisure'), + ('t1201', 'Socializing and Communicating'), + ('t120101', 'Socializing and communicating with others'), + ('t120199', 'Socializing and communicating, n.e.c.*'), + ('t1202', 'Attending or Hosting Social Events'), + ('t120201', 'Attending or hosting parties/receptions/ceremonies'), + ('t120202', 'Attending meetings for personal interest (not volunteering)'), + ('t120299', 'Attending/hosting social events, n.e.c.*'), + ('t1203', 'Relaxing and Leisure'), + ('t120301', 'Relaxing, thinking'), + ('t120302', 'Tobacco and drug use'), + ('t120303', 'Television and movies (not religious)'), + ('t120304', 'Television (religious)'), + ('t120305', 'Listening to the radio'), + ('t120306', 'Listening to/playing music (not radio)'), + ('t120307', 'Playing games'), + ('t120308', 'Computer use for leisure (excluding games)'), + ('t120309', 'Arts and crafts as a hobby'), + ('t120310', 'Collecting as a hobby'), + ('t120311', 'Hobbies, except arts & crafts and collecting'), + ('t120312', 'Reading for personal interest'), + ('t120313', 'Writing for personal interest'), + ('t120399', 'Relaxing and leisure, n.e.c.*'), + ('t1204', 'Arts and Entertainment (other than sports)'), + ('t120401', 'Attending performing arts'), + ('t120402', 'Attending museums'), + ('t120403', 'Attending movies/film'), + ('t120404', 'Attending gambling establishments'), + ('t120405', 'Security procedures rel. to arts & entertainment'), + ('t120499', 'Arts and entertainment, n.e.c.*'), + ('t1205', 'Waiting Associated with Socializing, Relaxing, and Leisure'), + ('t120501', 'Waiting assoc. w/socializing & communicating'), + ('t120502', 'Waiting assoc. w/attending/hosting social events'), + ('t120503', 'Waiting associated with relaxing/leisure'), + ('t120504', 'Waiting associated with arts & entertainment'), + ('t120599', 'Waiting associated with socializing, n.e.c.*'), + ('t1299', 'Socializing, Relaxing, and Leisure, n.e.c.*'), + ('t129999', 'Socializing, relaxing, and leisure, n.e.c.*'), + ('t13', 'Sports, Exercise, and Recreation'), + ('t1301', 'Participating in Sports, Exercise, or Recreation'), + ('t130101', 'Doing aerobics'), + ('t130102', 'Playing baseball'), + ('t130103', 'Playing basketball'), + ('t130104', 'Biking'), + ('t130105', 'Playing billiards'), + ('t130106', 'Boating'), + ('t130107', 'Bowling'), + ('t130108', 'Climbing, spelunking, caving'), + ('t130109', 'Dancing'), + ('t130110', 'Participating in equestrian sports'), + ('t130111', 'Fencing'), + ('t130112', 'Fishing'), + ('t130113', 'Playing football'), + ('t130114', 'Golfing'), + ('t130115', 'Doing gymnastics'), + ('t130116', 'Hiking'), + ('t130117', 'Playing hockey'), + ('t130118', 'Hunting'), + ('t130119', 'Participating in martial arts'), + ('t130120', 'Playing racquet sports'), + ('t130121', 'Participating in rodeo competitions'), + ('t130122', 'Rollerblading'), + ('t130123', 'Playing rugby'), + ('t130124', 'Running'), + ('t130125', 'Skiing, ice skating, snowboarding'), + ('t130126', 'Playing soccer'), + ('t130127', 'Softball'), + ('t130128', 'Using cardiovascular equipment'), + ('t130129', 'Vehicle touring/racing'), + ('t130130', 'Playing volleyball'), + ('t130131', 'Walking'), + ('t130132', 'Participating in water sports'), + ('t130133', 'Weightlifting/strength training'), + ('t130134', 'Working out, unspecified'), + ('t130135', 'Wrestling'), + ('t130136', 'Doing yoga'), + ('t130199', 'Playing sports n.e.c.*'), + ('t1302', 'Attending Sporting/Recreational Events'), + ('t130201', 'Watching aerobics'), + ('t130202', 'Watching baseball'), + ('t130203', 'Watching basketball'), + ('t130204', 'Watching biking'), + ('t130205', 'Watching billiards'), + ('t130206', 'Watching boating'), + ('t130207', 'Watching bowling'), + ('t130208', 'Watching climbing, spelunking, caving'), + ('t130209', 'Watching dancing'), + ('t130210', 'Watching equestrian sports'), + ('t130211', 'Watching fencing'), + ('t130212', 'Watching fishing'), + ('t130213', 'Watching football'), + ('t130214', 'Watching golfing'), + ('t130215', 'Watching gymnastics'), + ('t130216', 'Watching hockey'), + ('t130217', 'Watching martial arts'), + ('t130218', 'Watching racquet sports'), + ('t130219', 'Watching rodeo competitions'), + ('t130220', 'Watching rollerblading'), + ('t130221', 'Watching rugby'), + ('t130222', 'Watching running'), + ('t130223', 'Watching skiing, ice skating, snowboarding'), + ('t130224', 'Watching soccer'), + ('t130225', 'Watching softball'), + ('t130226', 'Watching vehicle touring/racing'), + ('t130227', 'Watching volleyball'), + ('t130228', 'Watching walking'), + ('t130229', 'Watching water sports'), + ('t130230', 'Watching weightlifting/strength training'), + ('t130231', 'Watching people working out, unspecified'), + ('t130232', 'Watching wrestling'), + ('t130299', 'Attending sporting events, n.e.c.*'), + ('t1303', 'Waiting Associated with Sports, Exercise, & Recreation'), + ('t130301', 'Waiting related to playing sports or exercising'), + ('t130302', 'Waiting related to attending sporting events'), + ('t130399', 'Waiting associated with sports, exercise, & recreation, n.e.c.*'), + ('t1304', 'Security Procedures Rel. to Sports, Exercise, & Recreation'), + ('t130401', 'Security related to playing sports or exercising'), + ('t130402', 'Security related to attending sporting events'), + ('t130499', 'Security related to sports, exercise, & recreation, n.e.c.*'), + ('t1399', 'Sports, Exercise, & Recreation, n.e.c.*'), + ('t139999', 'Sports, exercise, & recreation, n.e.c.*'), + ('t14', 'Religious and Spiritual Activities'), + ('t1401', 'Religious/Spiritual Practices'), + ('t140101', 'Attending religious services'), + ('t140102', 'Participation in religious practices'), + ('t140103', 'Waiting associated w/religious & spiritual activities'), + ('t140104', 'Security procedures rel. to religious & spiritual activities'), + ('t140105', 'Religious education activities'), + ('t1499', 'Religious and Spiritual Activities, n.e.c.*'), + ('t149999', 'Religious and spiritual activities, n.e.c.*'), + ('t15', 'Volunteer Activities'), + ('t1501', 'Administrative & Support Activities'), + ('t150101', 'Computer use'), + ('t150102', 'Organizing and preparing'), + ('t150103', 'Reading'), + ('t150104', 'Telephone calls (except hotline counseling)'), + ('t150105', 'Writing'), + ('t150106', 'Fundraising'), + ('t150199', 'Administrative & support activities, n.e.c.*'), + ('t1502', 'Social Service & Care Activities (Except Medical)'), + ('t150201', 'Food preparation, presentation, clean-up'), + ('t150202', 'Collecting & delivering clothing & other goods'), + ('t150203', 'Providing care'), + ('t150204', 'Teaching, leading, counseling, mentoring'), + ('t150299', 'Social service & care activities, n.e.c.*'), + ('t1503', 'Indoor & Outdoor Maintenance, Building, & Clean-up Activities'), + ('t150301', 'Building houses, wildlife sites, & other structures'), + ('t150302', 'Indoor & outdoor maintenance, repair, & clean-up'), + ('t150399', + 'Indoor & outdoor maintenance, building & clean-up activities, n.e.c.*'), + ('t1504', 'Participating in Performance & Cultural Activities'), + ('t150401', 'Performing'), + ('t150402', 'Serving at volunteer events & cultural activities'), + ('t150499', 'Participating in performance & cultural activities, n.e.c.*'), + ('t1505', 'Attending Meetings, Conferences, & Training'), + ('t150501', 'Attending meetings, conferences, & training'), + ('t150599', 'Attending meetings, conferences, & training, n.e.c.*'), + ('t1506', 'Public Health & Safety Activities'), + ('t150601', 'Public health activities'), + ('t150602', 'Public safety activities'), + ('t150699', 'Public health & safety activities, n.e.c.*'), + ('t1507', 'Waiting Associated with Volunteer Activities'), + ('t150701', 'Waiting associated with volunteer activities'), + ('t150799', 'Waiting associated with volunteer activities, n.e.c.*'), + ('t1508', 'Security procedures related to volunteer activities'), + ('t150801', 'Security procedures related to volunteer activities'), + ('t150899', 'Security procedures related to volunteer activities, n.e.c.*'), + ('t1599', 'Volunteer Activities, n.e.c.*'), + ('t159999', 'Volunteer activities, n.e.c.*'), + ('t16', 'Telephone Calls'), + ('t1601', 'Telephone Calls (to or from)'), + ('t160101', 'Telephone calls to/from family members'), + ('t160102', 'Telephone calls to/from friends, neighbors, or acquaintances'), + ('t160103', 'Telephone calls to/from education services providers'), + ('t160104', 'Telephone calls to/from salespeople'), + ('t160105', + 'Telephone calls to/from professional or personal care svcs providers'), + ('t160106', 'Telephone calls to/from household services providers'), + ('t160107', 'Telephone calls to/from paid child or adult care providers'), + ('t160108', 'Telephone calls to/from government officials'), + ('t160199', 'Telephone calls (to or from), n.e.c.*'), + ('t1602', 'Waiting Associated with Telephone Calls'), + ('t160201', 'Waiting associated with telephone calls'), + ('t160299', 'Waiting associated with telephone calls, n.e.c.*'), + ('t1699', 'Telephone Calls, n.e.c.*'), + ('t169999', 'Telephone calls, n.e.c.*'), + ('t18', 'Traveling'), + ('t1801', 'Travel Related to Personal Care'), + ('t180101', 'Travel related to personal care'), + ('t180199', 'Travel related to personal care, n.e.c.*'), + ('t1802', 'Travel Related to Household Activities'), + ('t180201', 'Travel related to housework'), + ('t180202', 'Travel related to food & drink prep., clean-up, & presentation'), + ('t180203', 'Travel related to interior maintenance, repair, & decoration'), + ('t180204', 'Travel related to exterior maintenance, repair, & decoration'), + ('t180205', 'Travel related to lawn, garden, and houseplant care'), + ('t180206', 'Travel related to care for animals and pets (not vet care)'), + ('t180207', 'Travel related to vehicle care & maintenance (by self)'), + ('t180208', + 'Travel related to appliance, tool, and toy set-up, repair, & maintenance ' + '(by self)'), + ('t180209', 'Travel related to household management'), + ('t180299', 'Travel related to household activities, n.e.c.*'), + ('t1803', 'Travel Related to Caring For & Helping HH Members'), + ('t180301', 'Travel related to caring for & helping hh children'), + ('t180302', "Travel related to hh children's education"), + ('t180303', "Travel related to hh children's health"), + ('t180304', 'Travel related to caring for hh adults'), + ('t180305', 'Travel related to helping hh adults'), + ('t180399', 'Travel rel. to caring for & helping hh members, n.e.c.*'), + ('t1804', 'Travel Related to Caring For & Helping Nonhh Members'), + ('t180401', 'Travel related to caring for and helping nonhh children'), + ('t180402', "Travel related to nonhh children's education"), + ('t180403', "Travel related to nonhh children's health"), + ('t180404', 'Travel related to caring for nonhh adults'), + ('t180405', 'Travel related to helping nonhh adults'), + ('t180499', 'Travel rel. to caring for & helping nonhh members, n.e.c.*'), + ('t1805', 'Travel Related to Work'), + ('t180501', 'Travel related to working'), + ('t180502', 'Travel related to work-related activities'), + ('t180503', 'Travel related to income-generating activities'), + ('t180504', 'Travel related to job search & interviewing'), + ('t180599', 'Travel related to work, n.e.c.*'), + ('t1806', 'Travel Related to Education'), + ('t180601', 'Travel related to taking class'), + ('t180602', 'Travel related to extracurricular activities (ex. Sports)'), + ('t180603', 'Travel related to research/homework'), + ('t180604', 'Travel related to registration/administrative activities'), + ('t180699', 'Travel related to education, n.e.c.*'), + ('t1807', 'Travel Related to Consumer Purchases'), + ('t180701', 'Travel related to grocery shopping'), + ('t180702', 'Travel related to purchasing gas'), + ('t180703', 'Travel related to purchasing food (not groceries)'), + ('t180704', 'Travel related to shopping, ex groceries, food, and gas'), + ('t180799', 'Travel related to consumer purchases, n.e.c.*'), + ('t1808', 'Travel Related to Using Professional and Personal Care Services'), + ('t180801', 'Travel related to using childcare services'), + ('t180802', 'Travel related to using financial services and banking'), + ('t180803', 'Travel related to using legal services'), + ('t180804', 'Travel related to using medical services'), + ('t180805', 'Travel related to using personal care services'), + ('t180806', 'Travel related to using real estate services'), + ('t180807', 'Travel related to using veterinary services'), + ('t180899', 'Travel rel. to using prof. & personal care services, n.e.c.*'), + ('t1809', 'Travel Related to Using Household Services'), + ('t180901', 'Travel related to using household services'), + ('t180902', + 'Travel related to using home main./repair/décor./construction svcs'), + ('t180903', 'Travel related to using pet services (not vet)'), + ('t180904', 'Travel related to using lawn and garden services'), + ('t180905', 'Travel related to using vehicle maintenance & repair services'), + ('t180999', 'Travel related to using household services, n.e.c.*'), + ('t1810', 'Travel Related to Using Govt Services & Civic Obligations'), + ('t181001', 'Travel related to using government services'), + ('t181002', 'Travel related to civic obligations & participation'), + ('t181099', 'Travel rel. to govt svcs & civic obligations, n.e.c.*'), + ('t1811', 'Travel Related to Eating and Drinking'), + ('t181101', 'Travel related to eating and drinking'), + ('t181199', 'Travel related to eating and drinking, n.e.c.*'), + ('t1812', 'Travel Related to Socializing, Relaxing, and Leisure'), + ('t181201', 'Travel related to socializing and communicating'), + ('t181202', 'Travel related to attending or hosting social events'), + ('t181203', 'Travel related to relaxing and leisure'), + ('t181204', 'Travel related to arts and entertainment'), + ('t181205', 'Travel as a form of entertainment'), + ('t181299', 'Travel rel. to socializing, relaxing, & leisure, n.e.c.*'), + ('t1813', 'Travel Related to Sports, Exercise, & Recreation'), + ('t181301', 'Travel related to participating in sports/exercise/recreation'), + ('t181302', 'Travel related to attending sporting/recreational events'), + ('t181399', 'Travel related to sports, exercise, & recreation, n.e.c.*'), + ('t1814', 'Travel Related to Religious/Spiritual Activities'), + ('t181401', 'Travel related to religious/spiritual practices'), + ('t181499', 'Travel rel. to religious/spiritual activities, n.e.c.*'), + ('t1815', 'Travel Related to Volunteer Activities'), + ('t181501', 'Travel related to volunteering'), + ('t181599', 'Travel related to volunteer activities, n.e.c.*'), + ('t1816', 'Travel Related to Telephone Calls'), + ('t181601', 'Travel related to phone calls'), + ('t181699', 'Travel rel. to phone calls, n.e.c.*'), + ('t1818', 'Security Procedures Related to Traveling'), + ('t181801', 'Security procedures related to traveling'), + ('t181899', 'Security procedures related to traveling, n.e.c.*'), + ('t1899', 'Traveling, n.e.c.*'), + ('t189999', 'Traveling, n.e.c.*'), + ('t50', 'Data Codes'), + ('t5001', 'Unable to Code'), + ('t500101', 'Insufficient detail in verbatim'), + ('t500103', 'Missing travel or destination'), + ('t500105', + 'Respondent refused to provide information/"none of your business"'), + ('t500106', "Gap/can't remember"), + ('t500107', 'Unable to code activity at 1st tier'), + ('t500199', 'Data codes, n.e.c.*'), + ('t5099', 'Data codes, n.e.c.*')] +codes_dict = {num: desc for (num, desc) in atus_codes_list} +categories = {num: desc for (num, desc) in atus_codes_list if len(num)==3} +sub_categories = {num: desc for (num, desc) in atus_codes_list if len(num)==5} +activities = {num: desc for (num, desc) in atus_codes_list if len(num)==7} +#pprint(atus_codes_list) diff --git a/requirements.txt b/requirements.txt index d7129f4..8f5a407 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,3 +1,4 @@ pandas ipython[notebook] matplotlib +pytest diff --git a/test_activities.txt b/test_activities.txt new file mode 100644 index 0000000..ae30033 --- /dev/null +++ b/test_activities.txt @@ -0,0 +1,25 @@ +01 Personal Care + 01 Sleeping + 01 Sleeping + 02 Sleeplessness + 99 Sleeping, n.e.c.* + 02 Grooming + 01 Washing, dressing and grooming oneself + 99 Grooming, n.e.c.* + 03 Health-related Self Care + 01 Health-related self care + 99 Self care, n.e.c.* + 04 Personal Activities + 01 Personal/Private activities + 99 Personal activities, n.e.c.* + 05 Personal Care Emergencies + 01 Personal emergencies + 99 Personal care emergencies, n.e.c.* + 99 Personal Care, n.e.c.* + 99 Personal care, n.e.c.* +02 Household Activities + 01 Housework + 01 Interior cleaning + 02 Laundry + 03 Sewing, repairing, & maintaining textiles + 04 Storing interior hh items, inc. food diff --git a/test_atus.py b/test_atus.py new file mode 100644 index 0000000..bacdfad --- /dev/null +++ b/test_atus.py @@ -0,0 +1,6 @@ +import atus + + +def test_load_zip(): + summary = atus.open_zip('atussum_2013') + assert len(summary) == 11385