kth.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# Preliminär analys av KTHs beviljandegrad för VR-NT ansökningar inom biologi\n",
    "\n",
    "Jag har analyserat det dataset jag fick från Lucas Persson på VR, motaget via email 22 Feb 2017. Först läser jag in data från Excel. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Parse the excel spreadsheet\n",
    "def read_ansok():\n",
    "    df = pd.read_excel('NT2008-2016_anon.xlsx', sheetname='Lista', encoding = 'utf8')\n",
    "    df = df.drop(['Dnr','Bidragsform',u'ÄmnesområdeRED','Inriktning',u'AntalBevÅr'], 1)\n",
    "    df = df.rename(columns={u'Medelsförvaltare TABELL': 'Institut', u'HuvudBG': 'Beredningsgrupp'})\n",
    "    df = df.assign(Biology = lambda x: ((x.SCB1 >= 10600.0) & (x.SCB1 < 10700.0)) | \\\n",
    "                   ((x.SCB2 >= 10600.0) & (x.SCB2 < 10700.0)) | \\\n",
    "                   ((x.SCB3 >= 10600.0) & (x.SCB3 < 10700.0)))\n",
    "    df = df.drop(['SCB1','SCB2','SCB3','SCB4','SCB5'], 1)\n",
    "    df = df.assign(KTH = lambda x: x.Institut == u'Kungliga Tekniska h\\xf6gskolan')\n",
    "    df = df.assign(Beviljad = lambda x: x.Beslut == u'Beviljad')\n",
    "    return df\n",
    "\n",
    "df = read_ansok()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Data updelat på beredninsgrupper\n",
    "Sedan delar jag up data i de nuvarande beredningsgrupper som handhar Biologi. Här lägger jag samman alla ansökningar, vilket i praktiken innebär 2012-2016."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ZXHR1j7uVtGmJdn3+uGQvMVtkJWvSeaz2rfuHspK3yqteIx3a/p4yEr+Rm0cd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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9871f13cd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "panels = ['NT-5','NT-6','NT-9','NT-10','NT-11','NT-12']\n",
    "subset = df.loc[df['Beredningsgrupp'].isin(panels)]\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "g = sns.factorplot(x=\"Beredningsgrupp\", y=\"Beviljad\", hue=\"KTH\", data=subset,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\", ci=None, \n",
    "                   order = panels, hue_order = [True,False])\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")\n",
    "x=0.15\n",
    "for panel in panels:\n",
    "  ss = subset.loc[subset['Beredningsgrupp'] == panel]\n",
    "  ss = ss.loc[ss['KTH']]\n",
    "  tot = len(ss.index)\n",
    "  bev = len(ss.loc[ss[\"Beviljad\"]].index)\n",
    "  g.fig.text(x, 0.18,\"%d/%d\"%(bev,tot),fontsize=14,rotation=\"vertical\")\n",
    "  x += 0.124\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Under 2008-2012 användes andra paneler, om vi plottar beviljandegraden innom dem får vi ett liknande resultat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BAAYAXHUGDhyo/v37Kzk5WRUVFabLqcKlPeGuXbvqqaeeUp8+feTr6+t4fdiwYW4rDACA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\nAIYQwgAAGEIIAwBgCCEMAIAh/x9IHg02Bofk6gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f98ad055490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "panels_old = ['NT-D','NT-E','NT-J','NT-K']\n",
    "subset = df.loc[df['Beredningsgrupp'].isin(panels_old)]\n",
    "import seaborn as sns\n",
    "sns.set(style=\"whitegrid\")\n",
    "g = sns.factorplot(x=\"Beredningsgrupp\", y=\"Beviljad\", hue=\"KTH\", data=subset,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\",\n",
    "                   hue_order = [True,False], ci= None, order = panels_old)\n",
    "\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")\n",
    "x=0.17\n",
    "for panel in panels_old:\n",
    "  ss = subset.loc[subset['Beredningsgrupp'] == panel]\n",
    "  ss = ss.loc[ss['KTH']]\n",
    "  tot = len(ss.index)\n",
    "  bev = len(ss.loc[ss[\"Beviljad\"]].index)\n",
    "  g.fig.text(x, 0.17,\"%d/%d\"%(bev,tot),fontsize=14,rotation=\"vertical\")\n",
    "  x += 0.185\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Samanslagning av ansökningar till Biologiska Vetenskapers paneler \n",
    "Om vi slår samman de tidigare och nuvarade beredningsgrupperna som behandar ansökningar inom Biologiska vetenskaperna så ser vi en tydlig trend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f98ad0556d0>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZACCkBHSEdPvtt2vBggX61re+JYfDoZqaGt1222164403NGXKFLtnBACEgIB/D8nj8ejo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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f98ad055510>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "panels_2 = panels + panels_old\n",
    "subset = df.loc[df['Beredningsgrupp'].isin(panels_2)]\n",
    "g = sns.factorplot(\"KTH\", data=subset, y=\"Beviljad\",\n",
    "                   size=6, kind=\"bar\", palette=\"muted\",\n",
    "                   order = [True,False], ci= None)\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f986f6ac890>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B/GRd/7hHBUlNkrAzuTF4Mk7W/IbS1hIAwO7i/2HDkGepaxIPdKwO2/I/QJWq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\nwkRERDJhEiYiIpIJkzAREZFM/j9FKA4qdCz97QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f986f56e4d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.factorplot(x=u'Ärendeår', y=\"Beviljad\", hue=\"KTH\", data=subset,\n",
    "                   size=6, palette=\"muted\",\n",
    "                   hue_order = [True,False], ci= None)\n",
    "\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "### Ansökningar updelade på SCB-kod\n",
    "Om vi istället kollar på SCB-koder som relaterar till Biologiska vetenskaper, dvs 106XX, så kan vi bygga upp data över hela perioden 2008-2016. Övergripande ser vi en lägre beviljandegrad för KTH ansökningar, men trenden är inte lika tydlig som den man ser vid uppdelning på beredningsgrupp."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f986f6be710>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4VVWV3G73VS/TfdU9AIC+IaAzpJ/97GcqLCz0feptxowZWrt2rV588cUu9yQlJSkhIUEL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\nIAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f986f6bedd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = df.loc[df['Biology']]\n",
    "g = sns.factorplot(\"KTH\", data=subset, y=\"Beviljad\",\n",
    "                   size=6, kind=\"bar\", palette=\"muted\",\n",
    "                   order = [True,False], ci= None)\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Delar vi upp datat över tid ser vi oftast en lägre beviljandegrad för ansöningar från KTH, även om 2010 och 2013 utgör undantag."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f986f626f10>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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9e3elp6fr5MmTVxwDAEBNY9s14by8PDVs2NC1HRAQoNzcXElSbm6uAgICLtlX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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9879262850>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = df.loc[df['Biology']]\n",
    "g = sns.factorplot(x=u'Ärendeår', y=\"Beviljad\", hue=\"KTH\", data=subset,\n",
    "                   size=6, kind=\"bar\", palette=\"muted\",\n",
    "                   hue_order = [True,False], ci= None)\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Samma data som tidserie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f986f7b6a50>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BKAkLwOxJcXh0WSaYcxUmuw0OPP52Ddq0fZdm1PTY8fMRrxKV88OnROVA3EPS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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f9879262110>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "subset = df.loc[df['Biology']]\n",
    "g = sns.factorplot(x=u'Ärendeår', y=\"Beviljad\", hue=\"KTH\", data=subset,\n",
    "                   size=6, palette=\"muted\",\n",
    "                   hue_order = [True,False], ci= None)\n",
    "\n",
    "g.despine(left=True)\n",
    "g.set_ylabels(\"Beviljandegrad\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12+"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}