Q014.ipynb

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   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Q014 - Di chi e\u0300 stata l\u2019iniziativa che ha portato all\u2019apertura del laboratorio?"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# -*- coding: UTF-8 -*-\n",
      "\n",
      "# Render our plots inline\n",
      "%matplotlib inline \n",
      "\n",
      "import pandas as pd\n",
      "import matplotlib\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "import seaborn\n",
      "import shutil\n",
      "\n",
      "pd.set_option('display.mpl_style', 'default') # Make the graphs a bit prettier, overridden by seaborn\n",
      "pd.set_option('display.max_columns', None) # Display all the columns\n",
      "plt.rcParams['font.family'] = 'sans-serif' # Sans Serif fonts for all the graphs\n",
      "\n",
      "# Reference for color palettes: http://web.stanford.edu/~mwaskom/software/seaborn/tutorial/color_palettes.html\n",
      "\n",
      "# Change the font\n",
      "matplotlib.rcParams.update({'font.family': 'Source Sans Pro'})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Load csv file first\n",
      "data = pd.read_csv(\"data/lab-survey.csv\", encoding=\"utf-8\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Check data\n",
      "#data[0:4] # Equals to data.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Range: D14[SQ001] - D14[SQ012] - D14[other]\n",
      "\n",
      "initiative_columns = [\"D14[SQ001]\",\"D14[SQ002]\",\"D14[SQ003]\",\"D14[SQ004]\",\n",
      "                     \"D14[SQ005]\",\"D14[SQ006]\",\"D14[SQ007]\",\"D14[SQ008]\",\n",
      "                     \"D14[SQ009]\",\"D14[SQ010]\",\"D14[SQ011]\",\"D14[SQ012]\"]\n",
      "initiative_options = ['Singolo individuo privato',\n",
      "               'Gruppo di individui privati',\n",
      "               'Scuola primaria (scuola elementare)',\n",
      "               'Scuola secondaria di primo grado (scuola media)',\n",
      "               'Scuola secondaria di secondo grado (scuola superiore)',\n",
      "               u'Universit\u00e1',\n",
      "               'Museo',\n",
      "               'Centro di ricerca',\n",
      "               \"Incubatore o acceleratore d'impresa\",\n",
      "               'Coworking',\n",
      "               'Impresa privata',\n",
      "               'Fondazione']\n",
      "initiative = data[initiative_columns]\n",
      "initiative.replace(u'S\u00ec', 'Si', inplace=True) # Get rid of accented characters \n",
      "initiative_other = data['D14[other]'].str.lower().value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stderr",
       "text": [
        "-c:19: SettingWithCopyWarning: \n",
        "A value is trying to be set on a copy of a slice from a DataFrame\n",
        "\n",
        "See the the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "#lab[0:4]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%capture output\n",
      "\n",
      "# Save the output as a variable that can be saved to a file\n",
      "# Gather data\n",
      "initiative_b = {}\n",
      "\n",
      "for k,i in enumerate(initiative_columns):\n",
      "    initiative_b[k] = initiative[i].value_counts(dropna=False)\n",
      "    print \"Data:\",initiative_options[k].encode('utf-8')\n",
      "    print initiative_b[k]\n",
      "    print\n",
      "    print \"Data %:\",initiative_options[k].encode('utf-8')\n",
      "    print initiative[i].value_counts(normalize=True,dropna=False)*100\n",
      "    print"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Save+show the output to a text file\n",
      "%save Q014-IniziativaLab01.py str(output)\n",
      "shutil.move(\"Q014-IniziativaLab01.py\", \"text/Q014-IniziativaLab01.txt\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "The following commands were written to file `Q014-IniziativaLab01.py`:\n",
        "Data: Singolo individuo privato\n",
        "No     60\n",
        "Si     10\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Singolo individuo privato\n",
        "No     85.714286\n",
        "Si     14.285714\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Gruppo di individui privati\n",
        "Si     46\n",
        "No     24\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Gruppo di individui privati\n",
        "Si     65.714286\n",
        "No     34.285714\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Scuola primaria (scuola elementare)\n",
        "No     66\n",
        "Si      4\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Scuola primaria (scuola elementare)\n",
        "No     94.285714\n",
        "Si      5.714286\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Scuola secondaria di primo grado (scuola media)\n",
        "No     70\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Scuola secondaria di primo grado (scuola media)\n",
        "No     100\n",
        "NaN      0\n",
        "dtype: float64\n",
        "\n",
        "Data: Scuola secondaria di secondo grado (scuola superiore)\n",
        "No     67\n",
        "Si      3\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Scuola secondaria di secondo grado (scuola superiore)\n",
        "No     95.714286\n",
        "Si      4.285714\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Universit\u00e1\n",
        "No     68\n",
        "Si      2\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Universit\u00e1\n",
        "No     97.142857\n",
        "Si      2.857143\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Museo\n",
        "No     67\n",
        "Si      3\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Museo\n",
        "No     95.714286\n",
        "Si      4.285714\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Centro di ricerca\n",
        "No     66\n",
        "Si      4\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Centro di ricerca\n",
        "No     94.285714\n",
        "Si      5.714286\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Incubatore o acceleratore d'impresa\n",
        "No     62\n",
        "Si      8\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Incubatore o acceleratore d'impresa\n",
        "No     88.571429\n",
        "Si     11.428571\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Coworking\n",
        "No     70\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Coworking\n",
        "No     100\n",
        "NaN      0\n",
        "dtype: float64\n",
        "\n",
        "Data: Impresa privata\n",
        "No     68\n",
        "Si      2\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Impresa privata\n",
        "No     97.142857\n",
        "Si      2.857143\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "Data: Fondazione\n",
        "No     67\n",
        "Si      3\n",
        "NaN     0\n",
        "dtype: int64\n",
        "\n",
        "Data %: Fondazione\n",
        "No     95.714286\n",
        "Si      4.285714\n",
        "NaN     0.000000\n",
        "dtype: float64\n",
        "\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "yes = []\n",
      "no = []\n",
      "nanvalue = []\n",
      "\n",
      "for k,i in enumerate(initiative_columns):\n",
      "    initiative_presents = initiative_b[k].index.tolist()\n",
      "    \n",
      "    # Convert NaN to \"NaN\"\n",
      "    for o,h in enumerate(initiative_presents):\n",
      "        if type(h) is float:\n",
      "            initiative_presents.pop(o)\n",
      "            initiative_presents.append(\"NaN\")\n",
      "    \n",
      "    # Reassign new list with \"NaN\"\n",
      "    initiative_b[k].index = initiative_presents\n",
      "    \n",
      "    # Check for empty values, and put a 0 instead\n",
      "    if \"Si\" not in initiative_presents:\n",
      "        yes.append(0)\n",
      "    if \"No\" not in initiative_presents:\n",
      "        no.append(0)\n",
      "    if \"NaN\" not in initiative_presents:\n",
      "        nanvalue.append(0)\n",
      "    \n",
      "    for j in initiative_presents:\n",
      "        if j == \"Si\":\n",
      "            yes.append(initiative_b[k].ix[\"Si\"])\n",
      "        elif j == \"No\":\n",
      "            no.append(initiative_b[k].ix[\"No\"])\n",
      "        elif j == \"NaN\":\n",
      "            nanvalue.append(initiative_b[k].ix[\"NaN\"]) "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Plot the data\n",
      "plt.figure(figsize=(8,6))\n",
      "plt.xlabel(u'Iniziativa', fontsize=16)\n",
      "plt.ylabel(u'Lab', fontsize=16)\n",
      "plt.title(u'Di chi e\u0300 stata l\u2019iniziativa che ha portato all\u2019apertura del laboratorio?', fontsize=18, y=1.02)\n",
      "plt.xticks(range(len(initiative_options)),initiative_options,rotation=90)\n",
      "ind = np.arange(len(initiative_columns))   # the x locations for the groups\n",
      "width = 0.35                              # the width of the bars\n",
      "\n",
      "my_colors = seaborn.color_palette(\"Set1\", 3) # Set color palette\n",
      "rect1 = plt.bar(ind,yes,width,color=my_colors[1],align='center') # Plot Yes\n",
      "rect2 = plt.bar(ind+width,no,width,color=my_colors[0],align='center') # Plot No\n",
      "rect3 = plt.bar(ind+width*2,nanvalue,width,color=my_colors[2],align='center') # Plot NaN \n",
      "plt.legend( (rect1, rect2, rect3), ('Si', 'No', 'Nessuna risposta') )\n",
      "plt.savefig(\"svg/Q014-IniziativaLab01.svg\")\n",
      "plt.savefig(\"png/Q014-IniziativaLab01.png\")\n",
      "plt.savefig(\"pdf/Q014-IniziativaLab01.pdf\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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+//13o2WvXLkiOnfubLRvlkUhBG/FR/QkuX37Np577jmEhoZW2Q+IUcV69+4N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\nYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x109ec4110>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%%capture output\n",
      "\n",
      "# Save the output as a variable that can be saved to a file\n",
      "# Get \"other\" data\n",
      "initiative_other = data[\"D14[other]\"].str.lower().value_counts()\n",
      "print \"Data:\"\n",
      "print initiative_other\n",
      "print \"\"\n",
      "print \"Data %:\"\n",
      "print data[\"D14[other]\"].str.lower().value_counts(normalize=True) * 100"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Save+show the output to a text file\n",
      "%save Q014-IniziativaLab02.py str(output)\n",
      "shutil.move(\"Q014-IniziativaLab02.py\", \"text/Q014-IniziativaLab02.txt\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "The following commands were written to file `Q014-IniziativaLab02.py`:\n",
        "Data:\n",
        "associazione culturale                               2\n",
        "assesore all'innovazione                             1\n",
        "cooperativa sociale                                  1\n",
        "comune con gruppo di soggetti privati                1\n",
        "francesco bombardi                                   1\n",
        "gruppo facebook design lab                           1\n",
        "associazione ed una coop. dedicata all'educazione    1\n",
        "centro di formazione                                 1\n",
        "associazione di categoria                            1\n",
        "associazione innoval                                 1\n",
        "associazione                                         1\n",
        "ente regionale                                       1\n",
        "cooperativa sociale patchanka                        1\n",
        "dtype: int64\n",
        "\n",
        "Data %:\n",
        "associazione culturale                               2.857143\n",
        "assesore all'innovazione                             1.428571\n",
        "cooperativa sociale                                  1.428571\n",
        "comune con gruppo di soggetti privati                1.428571\n",
        "francesco bombardi                                   1.428571\n",
        "gruppo facebook design lab                           1.428571\n",
        "associazione ed una coop. dedicata all'educazione    1.428571\n",
        "centro di formazione                                 1.428571\n",
        "associazione di categoria                            1.428571\n",
        "associazione innoval                                 1.428571\n",
        "associazione                                         1.428571\n",
        "ente regionale                                       1.428571\n",
        "cooperativa sociale patchanka                        1.428571\n",
        "dtype: float64\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# Plot bar\n",
      "plt.figure(figsize=(8,6))\n",
      "plt.title(u'Di chi \u00e8 stata l\u2019iniziativa che ha portato all\u2019apertura del laboratorio? Altro', fontsize=18, y=1.02)\n",
      "plt.xticks(range(len(initiative_other.index)),initiative_other.index,rotation=90)\n",
      "plt.xlabel('Iniziativa', fontsize=16)\n",
      "plt.ylabel('Lab', fontsize=16)\n",
      "ind = np.arange(len(initiative_other))   # the x locations for the groups\n",
      "width = 0.35                       # the width of the bars\n",
      "\n",
      "my_colors = seaborn.color_palette(\"husl\", len(initiative_other)) # Set color palette\n",
      "rect1 = plt.bar(ind,initiative_other,width,color=my_colors,align='center')\n",
      "plt.savefig(\"svg/Q014-IniziativaLab02.svg\")\n",
      "plt.savefig(\"png/Q014-IniziativaLab02.png\")\n",
      "plt.savefig(\"pdf/Q014-IniziativaLab02.pdf\")"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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/Fvr06WMwYmrp0qWCl5eX0Lp1a2Hz5s3i9LNnzwpDhgwRXFxcBA8PD/F15ycr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\nQwwRERHJEkMMERERyRJDDBE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9F7du3YKjo6Nkl8Fo166deEZBoVDAy8tL/Peb6o0LMTdu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       "text": [
        "<matplotlib.figure.Figure at 0x109e9bed0>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 12
    }
   ],
   "metadata": {}
  }
 ]
}