Part_II_slide_deck.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Part II - Difference of Bike Trips during Weekdays and Weekends in San Francisco\n",
    "## by Caio Priszculnik"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "\n",
    "## Investigation Overview\n",
    "On this presentation I'm going to focus on the difference of start time for trips during weekdays and weekends. And I'll also explore the difference of average trip duration between weekdays and weekends. This is an interesting pattern that suggests that on weekdays most trips are for commuting and on weekends they are for leisure.\n",
    "\n",
    "## Dataset Overview\n",
    "\n",
    "The data consisted of 183,412 rides in a bike-sharing program in San Francisco during the month of February 2019. The dataset includes 16 features about the trips:duration in seconds, start time, end time, start station id, start station name, start station latitude, start station longitude, end station id, end station name, end station latitude, end station longitude, bike id, user type, member birth year, member gender and bike share for all trip.\n",
    "8,265 rows were removed because the had no values for the member's birth year and member's gender were Null, therefore, there are 175,147 trips in the dataset used in the analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# import all packages and set plots to be embedded inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# suppress warnings from final output\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# load in the dataset into a pandas dataframe\n",
    "bike_df = pd.read_csv('bike_df_final.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> Note that the above cells have been set as \"Skip\"-type slides. That means\n",
    "that when the notebook is rendered as http slides, those cells won't show up."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Distribution of Trips During the Day\n",
    "\n",
    "The distribution of trips for start hour during the day has a bimodal distribution, with two peaks at the morning (8h-10h) and evening(16h-18h) rush hours."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the distribution of trips per hour of the day\n",
    "base_color = sns.color_palette()[0]\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.countplot(data=bike_df, x='start_hour', color=base_color)\n",
    "plt.title('Number of Trips per Hour of the Day')\n",
    "plt.xlabel('Trip Start Hour (h)')\n",
    "plt.ylabel('Number of Trips');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Distribution of Trips During the Day by Day of the Week\n",
    "\n",
    "When we explore the distribution of trips during the day by day of the week we can see that the bimodal distribution of trips during the rush hour happens only during weekdays. During weekends, most trips happen during the afternoon (13h-17h) and we don't have a bimodal distribution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the number of trips for each day of the week and start hour\n",
    "day_order = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday', 'Sunday'] # Define the day of week order\n",
    "g = sns.FacetGrid(data=bike_df, col='start_day_of_week', height=5, col_wrap=4, col_order=day_order)\n",
    "g.map(sns.countplot, 'start_hour', order=np.arange(0, 23, 1))\n",
    "g.set_titles('Distribution of Trips on {col_name} per Start Hour')\n",
    "g.set_axis_labels('Start Hour (h)', 'Number of Trips');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Average Trip Duration by Day of the Week\n",
    "\n",
    "Exploring the average trip duration for day of the week we can see that the average trip duration is longer during the weekends than on weekdays. One possible explanation for this result with the distribution of trips from the previous slides is that on weekdays the bike-sharing program is used for commuting (shorter trips and during rush hours), while during the weekend the program is used for leisure (longer trips during the afternoon)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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tPd5DlyRpACyhS2tgOVc5S1qaTOjSGrDKWdJSY5W7JEkDYAld0qD4CxctVyZ0aWAmnWRg4ZKaCU0anwl9DV11vc2u8V+SpMVkQl9Dl+16v8UOYVHZyluSlhYTutaIrbwlaWmxlbskSQNgCV2DY6MwTZLtZ7RUmdAlzdtyTmrLvf2Mli4TuqR5M6lJS4/30CVJGgBL6APkPWRJWn4soUuSNAAmdEmSBsAqd2kNLOdW3pKWpjkTepIdgX2BewI3Bn4PnAx8Cfifqrpq4hFKS5CtvCUtNbMm9CTvB3YAvgj8O3ABsDFwc+ABwD8leWlVHb0QgUqSpNnNVUJ/U1WdPMP0k4HPJLke8BeTCUtLnVXOkrS0zJrQZ0rmSW4A7FRVP6yqPwKnTzI4LV1WOUvS0rLaVu5JjkqyRZKtgZOA9yd58+RDkyRJ4xrnZ2tbVtUlwCOB91fVHYG9JxuWJEmaj3ES+gZJtgceS2sgJ0mSlphxEvq/AP8LnF5V309yU+C0yYYlSZLmY7UPlqmqTwKfHBn/OfCoSQYlSZLmZ9YSepJX9IZws82/T5KHTCYsSZI0H3OV0H8EfCHJH4ATgFW0B8vsCuwOfBX410kHKEmSVm/WEnpVfb6q7g48AzgFWB+4BPgwsGdVPb+qVs218iRbJflUkp8k+XGSuybZOslXkpzW/99gZPmXJTk9yU+T3H/t7KIkScM3zj3001jzRnD/AXy5qh7dnyy3KfBy4Miqel2SlwIvBV6SZDfac+NvTXtu/FeT3LyqrlzDbUuStGxMrPvUJFsA9wLeB1BVf6yqi4F9gEP7YocCD+/D+wAfr6rLq+oM2lPo9pxUfJIkDckk+0O/Ke2++/uT/CDJe5NsBmxbVecB9P836svvAJw98vpz+rRrSHJAkuOSHLdq1Zw1/pIkLRuTTOgbAHcA/quqbg9cRqten01mmFbXmlB1cFXtUVV7rFixYu1EKknSOm6199CTrACeDuw8unxVPXU1Lz0HOKeqvtvHP0VL6Ocn2b6qzutPoLtgZPmdRl6/I/DLcXZCkqTlbpwS+ueBLWk/U/vSyN+cqmolcHaSW/RJ9wVOBQ4H9u/T9u/rp0/fN8lGSXah/Tzue2PuhyRJy9pqS+jAplX1kjVc/7OBj/QW7j8HnkK7iDgsydOAs4DHAFTVKUkOoyX9K4Bn2sJdkqTxjJPQv5jkQVX13/NdeVWdCOwxw6z7zrL8QcBB892OJEnL3ThV7s+lJfU/JLm0/10y6cAkSdL4xnmwzPUXIhBJkrTmxqlyJ8nDaA+JATiqquwXXZKkJWS1Ve5JXkerdj+1/z23T5MkSUvEOCX0BwG7V9VVAEkOBX7A3A+JkSRJC2jcJ8VtNTK85QTikCRJ18E4JfR/A36Q5Ou0x7PeC3jZRKOSJEnzMk4r948lOQq4Ey2hv6Q/BU6SJC0Rs1a5J7ll/38HYHvas9bPBm7cp0mSpCVirhL6C4ADgDfNMK+A+0wkIkmSNG+zJvSqOqAPPrCq/jA6L8nGE41KkiTNyzit3I8Zc5okSVoks5bQk2wH7ABskuT2tAZxAFsAmy5AbJIkaUxz3UO/P/BkYEfgzSPTLwVePsGYJEnSPM11D/1Q4NAkj6qqTy9gTJIkaZ7G+R36p5M8GLg1sPHI9H+ZZGCSJGl843TO8i7gccCzaffRHwPcZMJxSZKkeRinlfvdqmo/4NdV9WrgrsBOkw1LkiTNxzgJfeo36L9LcmPgT8AukwtJkiTN1zids3whyVbAG4ATaE+Je88kg5IkSfMzZ0JPsh5wZFVdDHw6yReBjavqNwsRnCRJGs+cVe5VdRUjz3KvqstN5pIkLT3j3EM/IsmjkmT1i0qSpMUwzj30FwCbAVck+QPtp2tVVVtMNDJJkjS2cR4sc/2FCESSJK251Sb0JPeaaXpVHb32w5EkSWtinCr3F40MbwzsCRwP3GciEUmSpHkbp8r9oaPjSXYCXj+xiCRJ0ryN08p9unOA26ztQCRJ0pob5x7622hPh4N2AbA7cNIEY5IkSfM0zj3040aGrwA+VlXfnlA8kiRpDYxzD/3QJCv68KrJhyRJkuZr1nvoaQ5MciHwE+D/kqxK8sqFC0+SJI1jrkZxzwPuDtypqm5YVTcA7gzcPcnzFyI4SZI0nrkS+n7A46vqjKkJVfVz4Il9niRJWiLmSugbVtWF0yf2++gbTi4kSZI0X3Ml9D+u4TxJkrTA5mrlfrskl8wwPbRHwEqSpCVi1oReVesvZCCSJGnNrcmjXyVJ0hJjQpckaQBM6JIkDcA4z3InyXa0ftAL+H5VrZxoVJIkaV5WW0JP8nfA94BHAo8GvpPkqZMOTJIkjW+cEvqLgNtX1UUASW4IHAMcMsnAJEnS+Ma5h34OcOnI+KXA2ZMJR5IkrYlxSujnAt9N8nnaPfR9gO8leQFAVb15gvFJkqQxjJPQf9b/pny+/7/+2g9HkiStidUm9Kp69UIEIkmS1tysCT3JW6vqeUm+QKtqv4aqethEI5MkSWObq4T+of7/jQsRiCRJWnNzdc5yfJL1gadX1RMXMCZJkjRPc/5sraquBFYkud4CxSNJktbAXPfQ/6KqzgLOBL6d5HDgsqn5/lxNkqSlY6576J8D7gD8sv+thz9VkyRpSZoroQf82ZokSeuCuRL6Dkn+c7aZVfWcCcQjSZLWwFwJ/ffA8QsViCRJWnNzJfSLqurQBYtEkiStsbl+tvbHBYtCkiRdJ7Mm9Kq6y9rYQJL1k/wgyRf7+NZJvpLktP7/BiPLvizJ6Ul+muT+a2P7kiQtB+P0h35dPRf48cj4S4Ejq2pX4Mg+TpLdgH2BWwMPAN7Zn1QnSZJWY6IJPcmOwIOB945M3geYujd/KPDwkekfr6rLq+oM4HRgz0nGJ0nSUIyV0JPcI8lT+vCKJLuMuf63Ai8GrhqZtm1VnQfQ/9+oT98BOHtkuXP6NEmStBqrTehJXgW8BHhZn7Qh8OExXvcQ4IKqGvenb5lh2rW6bU1yQJLjkhy3atWqMVctSdKwjVNCfwTwMPpz3Kvql4z3CNi7Aw9LcibwceA+ST4MnJ9ke4D+/4K+/DnATiOv35H2yNlrqKqDq2qPqtpjxYoVY4QhSdLwjZPQ/1hVRS8tJ9lsnBVX1cuqaseq2pnW2O1rvRvWw4H9+2L7A5/vw4cD+ybZqFfp7wp8b+w9kSRpGZvrwTJTDkvybmCrJE8Hngq85zps83V9nU8DzgIeA1BVpyQ5DDgVuAJ4Zu++VZIkrcZqE3pVvTHJ3wCXALcAXllVX5nPRqrqKOCoPnwRcN9ZljsIOGg+65YkSeOV0OkJfF5JXJIkLZzVJvQkl3Lt1ua/AY4D/rGqfj6JwCRJ0vjGKaG/mdba/KO0n5btC2wH/BQ4BNhrUsFJkqTxjNPK/QFV9e6qurSqLqmqg4EHVdUngBus7sWSJGnyxknoVyV5bJL1+t9jR+Zd68EvkiRp4Y2T0J8APIn2AJjz+/ATk2wCPGuCsUmSpDGN87O1nwMPnWX2t9ZuOJIkaU2M08p9Y+BptG5NN56aXlVPnWBckiRpHsapcv8QrVX7/YFv0J6xfukkg5IkSfMzTkL/y6r6Z+CyqjqU1r/5bScbliRJmo9xEvqf+v+Lk9wG2BLYeWIRSZKkeRvnwTIHJ7kB8Apaj2ibA/880agkSdK8zJnQk6wHXFJVvwaOBm66IFFJkqR5mbPKvaquwt+aS5K05I1zD/0rSV6YZKckW0/9TTwySZI0tnHuoU/93vyZI9MKq98lSVoyxnlS3C4LEYgkSVpzq61yT7JpklckObiP75rkIZMPTZIkjWuce+jvB/4I3K2PnwO8dmIRSZKkeRsnod+sql5Pf8BMVf0eyESjkiRJ8zJOQv9j7yq1AJLcDLh8olFJkqR5GaeV+4HAl4GdknwEuDvw5AnGJEmS5mmcVu5HJDkeuAutqv25VXXhxCOTJEljG6c/9MOBjwGHV9Vlkw9JkiTN1zj30N8E3BM4Ncknkzw6ycYTjkuSJM3DOFXu3wC+kWR94D7A04FDgC0mHJskSRrTOI3i6K3cHwo8DrgDcOgkg5IkSfMzzj30TwB3prV0fwdwVO+FTZIkLRHjlNDfD/xtVV0JkOTuSf62qp65mtdJkqQFMs499C8n2T3J42lV7mcAn5l4ZJIkaWyzJvQkNwf2BR4PXAR8AkhV/fUCxSZJksY0Vwn9J8A3gYdW1ekASZ6/IFFJkqR5met36I8CVgJfT/KeJPfFTlkkSVqSZk3oVfXZqnoccEvgKOD5wLZJ/ivJ/RYoPkmSNIbVPimuqi6rqo9U1UOAHYETgZdOOjBJkjS+cR79+mdV9auqendV3WdSAUmSpPmbV0KXJElLkwldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNwMQSepKdknw9yY+TnJLkuX361km+kuS0/v8GI695WZLTk/w0yf0nFZskSUMzyRL6FcA/VtWtgLsAz0yyG/BS4Miq2hU4so/T5+0L3Bp4APDOJOtPMD5JkgZjYgm9qs6rqhP68KXAj4EdgH2AQ/tihwIP78P7AB+vqsur6gzgdGDPScUnSdKQLMg99CQ7A7cHvgtsW1XnQUv6wI36YjsAZ4+87Jw+bfq6DkhyXJLjVq1aNdG4JUlaV0w8oSfZHPg08LyqumSuRWeYVteaUHVwVe1RVXusWLFibYUpSdI6baIJPcmGtGT+kar6TJ98fpLt+/ztgQv69HOAnUZeviPwy0nGJ0nSUEyylXuA9wE/rqo3j8w6HNi/D+8PfH5k+r5JNkqyC7Ar8L1JxSdJ0pBsMMF13x14EvCjJCf2aS8HXgccluRpwFnAYwCq6pQkhwGn0lrIP7OqrpxgfJIkDcbEEnpVfYuZ74sD3HeW1xwEHDSpmCRJGiqfFCdJ0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAEzokiQNgAldkqQBMKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAJZcQk/ygCQ/TXJ6kpcudjySJK0LllRCT7I+8A7ggcBuwOOT7La4UUmStPQtqYQO7AmcXlU/r6o/Ah8H9lnkmCRJWvKWWkLfATh7ZPycPk2SJM0hVbXYMfxZkscA96+qv+vjTwL2rKpnjyxzAHBAH70F8NMFD/Rq2wAXLuL2F5v77/4v1/1fzvsO7v9i7/9NqmrF9IkbLEYkczgH2GlkfEfgl6MLVNXBwMELGdRskhxXVXssdhyLxf13/5fr/i/nfQf3f6nu/1Krcv8+sGuSXZJcD9gXOHyRY5IkaclbUiX0qroiybOA/wXWBw6pqlMWOSxJkpa8JZXQAarqv4H/Xuw4xrQkqv4Xkfu/vC3n/V/O+w7u/5Lc/yXVKE6SJK2ZpXYPXZIkrYFlmdCTVJIPjYxvkGRVki+upfUfmOSFa2Nda1OSGyY5sf+tTHLuyPj11uJ29lpbx3Ie23xLkueNjP9vkveOjL8pyQvGWM/OSU6eUJhT2/jtJNc/sp3Z3u+Lk5y6ANt/cpK3T3o710WSK0eO0YlJdp5hmf9OstUM05fk53y6JP+U5JQkP+z7eOc5ln1ykhuvhW2emWSb67qeSZjP8ZjHOpfEubDk7qEvkMuA2yTZpKp+D/wNcO4ixzRxVXURsDu0ExD4bVW9cTFjWouOAR4DvDXJerTfiW4xMv9uwPMWIa5FM9v73ZPWGl9wJdmgqq5YGzEuAb+vqt1nmpEktNuSD1rYkNaeJHcFHgLcoaou70l2rov3JwMnM+3nwqvZxjpzPqzB8VinLMsSevc/wIP78OOBj03NSLJ1ks/1K7jvJPmrPv3AJIckOSrJz5M8Z+Q1/9Q7lfkq7YE3U9OfnuT7SU5K8ukkmya5fpIzkmzYl9miX9FuuBA7PirJB5I8emT8tyPDL+qx/zDJq/u0zZJ8qe/PyUke16c/IMlPknwLeOTIOvZMckySH/T/t+jTv5lk95Hlvj11nNfQt2lJG+DWtC+lS5PcIMlGwK36dr6R5Phegt++T7tj359jgWeOxPTkJJ9J8uUkpyV5/ci8+yU5NskJST6ZZPM+/XVJTu3H7I192i592e8nec3IOjZPcmRfx4+S7NOnvybJc0eWO2j0XFtL1k/ynl5SOSLJJn1bRyXZow9vk+TMkWPxySRfAI5Isn2So3sJ5+Qk9+zLPSXJ/yX5BnD3kX14aJLv9vPgq0m2TbJeP64r+jLrpXXKtGglu7Qamh8neSdwArBTRkqb6+DnfHvgwqq6HKCqLqyqXyZ5ZY/35CQHp3k0sAfwkf6+bjJt3/dIclQfPrC/7gjgg2m1QUf09/fdQEaOzef6Z+6UtAeDkeRpSd4ysszTk7x5EY/HXPu57nznV9Wy+wN+C/wV8ClgY+BEYC/gi33+24BX9eH7ACf24QNpJcGNaCXAi4ANgTsCPwI2pZUKTwde2F9zw5HtvhZ4dh9+P/DwPnwA8KYFPgYHAi8EPgA8evTY9P/3o7XkDO3C74vAvYBHAe8ZWX7LfgzPBnbtyx82ciy3ADbow3sDn+7D+wNv7cM3B45bC/t0JvAXwN8DzwBeAzyIlliO7e/dir7s42g/iwT4IXDvPvwG4OQ+/GTg5yP7+Avag4+2AY4GNuvLvQR4JbA17cmFU41Nt+r/Dwf268PPHDnGGwBb9OFt+nkTYGfghD59PeBno+fRdXm/+/DOwBXA7n38MOCJffgoYI+RmM4cORbnAFv38X8E/qkPrw9cn/ZleRawglbq+Tbw9r7MDUaOy9/Rz3fgVcDzRs65Ty/w5+BK2uf/ROCz/dhcBdxl2nm1Devm53zzvm//B7yTq8/zrUeW+RDw0Onv/+i+9+E9gKNGzqfjgU36+H8Cr+zDDwZq5HVT58wmtAvtGwKb9fN6wz7vGOC2i3g85trPdeY7f9mW0Kvqh7QP7+O59s/k7kE7yamqrwE3TLJln/elqrq8qi4ELgC2Be4JfLaqfldVl3DNh+HcJq00+iPgCbTSI8B7gaf04afQ3uyl5H797we0ksotaQn7R8DeSf49yT2r6jd93hlVdVq1s/XDI+vZEvhk2n3pt3D1/n8SeEi/Qn0q7cLiupoqpd+NlsCPHRk/F7gN8JUkJwKvAHbs7+tWVfWNvo4PTVvnkVX1m6r6A3AqcBPgLrTeAL/d17V/n34J8AfgvUkeCfyur+PuXF0DNLr+AP+a5IfAV2n9FmxbVWcCFyW5Pf09qFZ9vjadUVUn9uHjaZ+F1flKVf2qD38feEpaVf5tq+pS4M60L8JV1TpX+sTIa3cE/rd/Dl7E1efBIcB+ffipLPzn4PdVtXv/e0Sf9ouq+s4My65zn/Oq+i0t+RwArAI+keTJwF/3GpMf0Qott559LbM6vNotS2gX+x/u2/wS8OuR5Z6T5CTgO7QL4l2r6jLga7TvgFvSEvuP1iCGeZnjeMxlnfnOX6730KccDryRVjq/4cj0zLDs1O/7Lh+ZdiVXH8PZfv/3AdpV2Un9xNkLoKq+3av37g2sX1UTbYg1hyvot16ShKvvJwX4t6p69/QXJLkjreT7b73K7XBm3//XAF+vqkek3bs9CqCqfpfkK7Te9B5Luyq+ro6hJe/b0koCZ9NKkpfQvjx2qKq7TtuXreaIHWZ+v0NLbo+fvnCSPYH70p5y+CzalyWzbOMJtNLsHavqT2nV2xv3ee+llYq3oyW9tW36fm3Sh/98PozEMuWyqYGqOjrJvWilsQ8leQPtOM92LN8GvLmqDk+yF63kQ1WdneT8JPehXRA8YU13aC26bI5569znvKqupH3ujupJ5u9pNZR79ON/INd+r6eMdT5MbWr6i/t7vTdw1/6ZP4prnuMvB37CAl7ozHA89mfu/VxnvvOXbQm9OwT4lxmuDI+mf7H0E/LCfhU2m6OBR/R7TtcHHjoy7/rAeb0kOv3L6oO0kttils7PpF2xQkuuU/d0/hd4aq6+N7xDkhultYD9XVV9mHYxdAfaB3KXJDfrrx1NdFtydYPDJ0/b9ntpVXXfHyn5XRffpjV4+VVVXdnXuRVwV1ppcUVaoxiSbJjk1lV1MfCbJPfo6xgnoXwHuHuSv+zr2jTJzfux2rLaw5GeR2+Q1uPad4b1bwlc0JP5X9NK+VM+CzwAuBPtvVgoZ3L1+fDo2RZKchNa7O8B3kc7D74L7NXvp25Ia6Q4ZfQ82H/a6t5LK90d1r9sl6p17nOe5BZJdh2ZtDtXd2h1YT9nR9/nS2n7MuVMrj4fHjXHpka/Mx9Iu8UC7X3/dU/mt6TVbgFQVd+lldj/lpE2TJM0y/H4BePv55QleS4s6xJ6VZ0D/McMsw4E3t+rQn/Htb+Apq/nhCSfoN2b+QXwzZHZ/0z7ovsFrbp69MPyEdo9lgU5mWfxHuDzSb4HHEm/6q6qI5LcCji2Fdz5LfBE4C+BNyS5CvgT8A9V9Ye0xi5fSnIh8C1a9TbA64FD034y9rXRDVfV8UkuYe2d3D+i3ef66LRpm1fVBWmNfv6zV7NvALwVOIVW/XVIkt8xRvKsqlX9yvtjaQ3uoFXhX0o7lhvTSvHP7/OeC3w0raHbp0dW9RHgC0mOo507PxnZxh+TfB24eIGT3BuBw9J6OvzaHMvtBbwoyZ9o58Z+VXVeL+0dC5xHu1Wzfl/+QNqtl3NpF0S7jKzrcNo5sNRuO13DOvo53xx4W6+JuoJ2r/cA4GJanGfSbp9M+QDwriS/p10Ivxp4X5KX0/ZvNq+mfR5OAL5Ba0sB8GXgGf279Ke0937UYbS2HL9mYcx2PG7FePsJLN1zwSfFLaKeYPapqictdiyLoZf2jwJuWVVXLXI4S0raT+9OAB5TVactdjyTlNaq/i1Vdc/FjmUSlvvnfC5pz6t4S1UdudixLIRJnwvLuoS+mJK8DXgg7V70spNkP+Ag4AUm82tKshvtVwWfXQbJ/KXAP7A07p2vdcv9cz6bXkL+HnDSMkrmEz8XLKFLkjQAy71RnCRJg2BClyRpAEzokiQNgAldWoJydS9gp6Q9E/oFveX7JLf5hr69N0ybvleSu42MX+P5//PcxnOTvHVk/N1pz8KeGn92kv9cg/Uuid6upMVkK3dpafpzL2BJbkT7bf2WtGefT8rf0551f/m06XvRfmt+zFrYxjFcs0X77sB6Sdbvv7e/G/C5tbAdadmxhC4tcVV1Ae3hF89Ks3Pas6JP6H93A0jyofQe2/r4R5I8bHRd/fVvSOtl60e5ure8w2kdZnx3alqfvjOto5vn9xqDqd+K3yut97yf55q99V2rh75pfgDcvD9ha0vag5tOpD2uF1pCPybJzdJ6uTu+7+st+/pXpPVg9f3+d/fpG0jr7ep/0nuQk5YLS+jSOqCqft6r3G9E6yDib/oT+nalPXVqD9ojVJ9Pe1rdlrTkOP0ph4+klYpvR3uq3veTHF1VD0vy25rWN3hVnZnkXfS+1KF1fUnrWe0etI55Dgc+leR+tA589qQ9Ke/wJPeqqqNH1ndFWoc2d6I9P/67wGnA3ZJcQPsp7dlJjgSeUVWnJbkzrWes+9Ce7PiWqvpWkr+gPdnvVlPrT/IsWoc2D5+hpkEaNBO6tO6Y6jRoQ+Dtaf3JX0nrfpaq+kaSd/Qq+kfSuiK9Yto67gF8rFdvn5/Wb/mduGZvUeP4XH8g0KlJtu3TRnvog/aYzV1pz70eNdUr3ia0x8SeRuukYxWtdL55n//J5M/9JE09YndvYLeR6VukPUsb4Em0Ll4fXlV/muf+SOs8E7q0DkhyU1ryvoB2H/18Wil7PVqXrVM+RLtHvS+tO9JrrWothTRa+s3I/xl76JvmGNr9+o2Bd9AS+W79/7dp+3Tx9NqCbj1az12/H53YE/zJtNqHHYEzxt8VaRi8hy4tcUlWAO8C3t77m98SOK+XkJ/E1R2gQOtc43kAVXXKDKs7GnhckvX7eu9FewTnXKb3wDWbGXvom2G5Y2i9bq2oqgv6Pq2i9fZ3TO/Z8Iwkj+nrSZLb9dceQeuWlj5v95H1/oB2oXB47ydAWlZM6NLStMnUz9aAr9IS2VQjs3cC+yf5Dq26fbSf8vOBHzN7z2WfBX4InETrTe3FVbVyNbF8gdZV5GijuGupqiNorfGPTetn+lPMcCHQe9ZaRevpbsqxtPYBJ/XxJwBPS3JSX26qsd9zgD16o7tTaQ32Rtf9LeCFtJ7/tlnNfkmD4rPcpQFJsimty8Y7VNVvFjseSQvHEro0EEn2pvWp/jaTubT8WEKXJGkALKFLkjQAJnRJkgbAhC5J0gCY0CVJGgATuiRJA2BClyRpAP4/5MgjwxaORncAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot average duration by day of week\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_day_of_week', y='duration_sec', color=base_color, order=day_order)\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.title('Average Trip Duration by Day of Week');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Average Trip Duration by Day of the Week and User Type\n",
    "\n",
    "Looking at the average trip duration for user type and day of the week we can see that Customers have longer trips on all days and their trips are longer on weekends. This result supports the explanation that most people use the bike sharing trips for leisure during weeekends."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the average trip duration by day of week and user type\n",
    "plt.figure(figsize=[8, 6])\n",
    "sns.barplot(data=bike_df, x='start_day_of_week', y='duration_sec', order=day_order, hue='user_type')\n",
    "plt.ylabel('Average Trip Duration (s)')\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.title('Average Trip Duration by Day of Week')\n",
    "plt.legend(title='User Type');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    ">**Generate Slideshow**: Once you're ready to generate your slideshow, use the `jupyter nbconvert` command to generate the HTML slide show. . From the terminal or command line, use the following expression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] WARNING | Config option `kernel_spec_manager_class` not recognized by `NbConvertApp`.\n",
      "[NbConvertApp] Converting notebook Part_II_slide_deck.ipynb to slides\n",
      "[NbConvertApp] Writing 675855 bytes to Part_II_slide_deck.slides.html\n",
      "[NbConvertApp] Redirecting reveal.js requests to https://cdnjs.cloudflare.com/ajax/libs/reveal.js/3.5.0\n",
      "Serving your slides at http://127.0.0.1:8000/Part_II_slide_deck.slides.html\n",
      "Use Control-C to stop this server\n",
      "^C\n",
      "\n",
      "Interrupted\n"
     ]
    }
   ],
   "source": [
    "!jupyter nbconvert Part_II_slide_deck.ipynb --to slides --post serve --no-input --no-prompt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> This should open a tab in your web browser where you can scroll through your presentation. Sub-slides can be accessed by pressing 'down' when viewing its parent slide. Make sure you remove all of the quote-formatted guide notes like this one before you finish your presentation! At last, you can stop the Kernel. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}