slide_deck_template.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Explanatory analysis\n",
    "\n",
    "## by Xuejiao Tang"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## Investigation Overview\n",
    "\n",
    "> Discovery the main features which affect the observations.\n",
    "\n",
    "## Dataset Overview\n",
    "\n",
    "> The dataset is Ford GoBike System Data downloaded from udacity dataset options. This data set includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area.\n"
   ]
  },
  {
   "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 sb\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "# suppress warnings from final output\n",
    "import warnings\n",
    "warnings.simplefilter(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "slideshow": {
     "slide_type": "skip"
    }
   },
   "outputs": [],
   "source": [
    "# load in the dataset into a pandas dataframe\n",
    "df = pd.read_csv('/home/itcast/Downloads/201902-fordgobike-tripdata.csv')\n",
    "df = df.dropna()"
   ]
  },
  {
   "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": [
    "## (Visualization 1)\n",
    "\n",
    "> When are most trips taken in terms of time of day?\n",
    "\n",
    "- Answer:\n",
    "The most trips are taken in the morning, in the afternoon and night there are also a lot of trips. There is few trips in the midnight.\n",
    "\n",
    "<!-- Write a comment about your visualization here. The visualization should be in\n",
    "the next cell, as a sub-slide type. Make sure your visualizations are polished! -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from fnmatch import fnmatchcase as match\n",
    "time_stage = []\n",
    "df['time'] = df.start_time.str.extract('(.*)\\s{1}(.*)')[1]\n",
    "# df['date'] = df.start_time.str.extract('(.*)\\s{1}(.*)')[0]\n",
    "# df['time'] = pd.to_datetime(df['time'])\n",
    "# df['date'] = pd.to_datetime(df['date'])\n",
    "df['time'].value_counts()\n",
    "for time in df['time']:\n",
    "    if match(time,'06*') or match(time,'07*') or match(time,'08*') or match(time,'09*') or match(time,'10*') or match(time,'11*') or match(time,'12*'):\n",
    "        time_stage.append(\"Morning\")\n",
    "    elif match(time,'13*') or match(time,'14*') or match(time,'15*') or match(time,'16*') or match(time,'17*'):\n",
    "        time_stage.append('Afetrnoon')\n",
    "    elif match(time,'18*') or match(time,'19*') or match(time,'20*') or match(time,'21*') or match(time,'22*') or match(time,'23*'):\n",
    "        time_stage.append('Night')\n",
    "    elif match(time,'00*') or match(time,'01*') or match(time,'02*') or match(time,'03*') or match(time,'04*') or match(time,'05*'):\n",
    "#         print(time)\n",
    "        time_stage.append('Midnight')\n",
    "df['time_stage'] = time_stage\n",
    "\n",
    "order=df['time_stage'].value_counts().index\n",
    "plt.figure(figsize=[8,5])\n",
    "base_color = sb.color_palette()[0]\n",
    "sb.countplot(data=df, x='time_stage', color=base_color, order=order);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## (Visualization 2)\n",
    "\n",
    "> Does the above depend on if a user is a subscriber or customer?\n",
    "\n",
    "- Answer: The subscriber type is about eight times more than the customers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "order=df['user_type'].value_counts().index\n",
    "plt.figure(figsize=[8,5])\n",
    "base_color = sb.color_palette()[0]\n",
    "sb.countplot(data=df, x='user_type', color=base_color, order=order);\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## (Visualization 3)\n",
    " Do most of the trips last more than one hours?\n",
    "\n",
    "\n",
    "-Answer: No. Most of the trips last under one hour."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Propotion of no duration_sec ')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "over_one_hour = len(df.query('duration_sec>3600'))\n",
    "under_one_hour = len(df.query('duration_sec<=3600'))\n",
    "plt.bar(['over_one_hour','under_one_hour'], [over_one_hour,under_one_hour])\n",
    "plt.title(\"Distribution of duration_sec\")\n",
    "plt.xlabel(\"duration_sec\")\n",
    "plt.ylabel(\"Propotion of no duration_sec \")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## (Visualization 4)\n",
    "\n",
    "> The relationship among time_stage, duration_sec, user_type\n",
    "\n",
    "> Answer: The duration of the subscriber less than the customer. But the time_stage \"morgning\",\"afternoon\",\"night\", \"midnight\" do not affect the result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "sb.boxplot(data=df,x = 'time_stage', y = 'duration_sec', hue = 'user_type')\n",
    "plt.legend(loc = 6, bbox_to_anchor = (1.0, 0.5)) # legend to right of figure\n",
    "plt.xticks(rotation = 15)\n",
    "plt.yscale('log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## (Visualization 5)\n",
    "The relationship among time_stage, duration_sec, user_type and member_birth_year\n",
    "\n",
    "Answer: The duration of the subscriber less than the customer.The most of users were born in about 1988. But the time_stage \"morgning\",\"afternoon\",\"night\", \"midnight\" do not affect the result. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([0, 1, 2, 3]),\n",
       " [Text(0, 0, 'Afetrnoon'),\n",
       "  Text(1, 0, 'Morning'),\n",
       "  Text(2, 0, 'Night'),\n",
       "  Text(3, 0, 'Midnight')])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1728x360 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=[24,5])\n",
    "g = sb.PairGrid(data = df, x_vars = ['user_type', 'time_stage'],\n",
    "                y_vars = ['member_birth_year','duration_sec'])\n",
    "g.map(sb.violinplot, inner = 'quartile',color = base_color)\n",
    "\n",
    "plt.yscale('log')\n",
    "plt.xticks(rotation=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[NbConvertApp] Converting notebook slide_deck_template.ipynb to slides\r\n"
     ]
    }
   ],
   "source": [
    "# !jupyter nbconvert slide_deck_template.ipynb --to slides --post serve --template output_toggle\n",
    "# !jupyter nbconvert slide_deck_template.ipynb --to slides --post serve --template output_toggle\n",
    "!jupyter nbconvert --to slides --TemplateExporter.exclude_input=True slide_deck_template.ipynb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "notes"
    }
   },
   "source": [
    "> Once you're ready to finish your presentation, check your output by using\n",
    "nbconvert to export the notebook and set up a server for the slides. From the\n",
    "terminal or command line, use the following expression:\n",
    "> > `jupyter nbconvert <file_name>.ipynb --to slides --post serve --template output_toggle`\n",
    "\n",
    "> This should open a tab in your web browser where you can scroll through your\n",
    "presentation. Sub-slides can be accessed by pressing 'down' when viewing its parent\n",
    "slide. Make sure you remove all of the quote-formatted guide notes like this one\n",
    "before you finish your presentation!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Slideshow",
  "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": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}