Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

ATUS Homework #2

Open
wants to merge 2 commits into
base: master
Choose a base branch
from
+412 −62
Open

ATUS Homework #2

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
506eb94
Initial Commit
hdeters May 31, 2015
b58d856
ReadMe added
hdeters May 31, 2015
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
63 changes: 1 addition & 62 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,64 +1,3 @@
# 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)
The ipython notebook (atus_analysis.ipynb) has my findings in it, with the functions all contained in the data_analysis.py file.
Loading