Add obama clemency

README.md

@@ -5,6 +5,7 @@ We hope you'll use it to check our work and to create stories and visualizations
 Article Date(s) | Headline(s) | Folder
 ---|---------|-------------
 Jan. 23, 2017 | [Higher Rates Of Hate Crimes Are Tied To Income Inequality](https://fivethirtyeight.com/features/higher-rates-of-hate-crimes-are-tied-to-income-inequality/) | `hate-crimes`
+Jan. 19, 2017 | [Obama Granted Clemency Unlike Any Other President In History](https://fivethirtyeight.com/features/obama-granted-clemency-unlike-any-other-president-in-history/) | `obama-clemency`
 Dec. 16, 2016 | [The Last 10 Weeks Of 2016 Campaign Stops In One Handy Gif](http://fivethirtyeight.com/features/the-last-10-weeks-of-2016-campaign-stops-in-one-handy-gif/) | `presidential-campaign-trail`
 Oct. 6, 2016 | [A Handful Of Cities Are Driving 2016’s Rise In Murders](http://fivethirtyeight.com/features/a-handful-of-cities-are-driving-2016s-rise-in-murders/) | `murder_2016`
 Sept. 16, 2016 | [When Does Praying In Public Make Others Uncomfortable?](http://fivethirtyeight.com/features/when-does-praying-in-public-make-others-uncomfortable/) | `religion-survey`

obama-commutations/README.md

@@ -0,0 +1,7 @@
+### Obama commutation data
+
+The raw data behind the story [Obama Granted Clemency Unlike Any Other President In History](https://fivethirtyeight.com/features/obama-granted-clemency-unlike-any-other-president-in-history/)
+
+The data in `obama_commutations.csv` is copied from the Justice Department website. The python script parses it by looking at the first column to figure out what is contained in the second column.
+
+Source: [Department of Justice](https://www.justice.gov/pardon/obama-commutations)

obama-commutations/obama_commutation_categories.ipynb

@@ -0,0 +1,156 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import csv \n",
+    "from datetime import datetime\n",
+    "from dateutil.relativedelta import relativedelta\n",
+    "\n",
+    "# Open the CSV file for a president\n",
+    "with open('obama_commutations.csv') as csvfile:\n",
+    "    reader = csv.DictReader(csvfile)\n",
+    "    rows = [row for row in reader]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "rows\n",
+    "\n",
+    "# Figure out the indicies where each individual entry begins\n",
+    "individualSplits = []\n",
+    "\n",
+    "for i, row in enumerate(rows):\n",
+    "    # Names don't have a key column, and the next row always has key \"Offense:\"\n",
+    "    try:\n",
+    "        if rows[i]['key'] == '' and (i == 0 or rows[i+1]['key'] == 'Offense:'):\n",
+    "            individualSplits.append(i)\n",
+    "    except:\n",
+    "        pass"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "individuals = []\n",
+    "\n",
+    "# Parse each individual into a dict with values representing the name and the offense\n",
+    "for i, split in enumerate(individualSplits):\n",
+    "    try:\n",
+    "        nextSplit = individualSplits[i + 1]\n",
+    "    except: \n",
+    "        nextSplit = len(rows)\n",
+    "    \n",
+    "    individual = {\n",
+    "        'name': '',\n",
+    "        'offense': '',\n",
+    "    }\n",
+    "    \n",
+    "    individual['name'] += rows[split]['info']\n",
+    "    \n",
+    "    for x in range(split + 1, nextSplit):\n",
+    "        \n",
+    "        if rows[x]['key'] == 'Offense:' or (rows[x]['key'] == '' and rows[x - 1]['key'] == 'Offense:'):\n",
+    "            individual['offense'] += rows[x]['info']\n",
+    "        \n",
+    "    individuals.append(individual)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "drug_words = [\n",
+    "    \"cocaine\",\n",
+    "    \"marijuana\",\n",
+    "    \"controlled substance\",\n",
+    "    \"drug\",\n",
+    "    \"distribute\",\n",
+    "    \"distribution\",\n",
+    "    \"heroin\",\n",
+    "    \"LSD\",\n",
+    "    \"manufacture\",\n",
+    "]\n",
+    "\n",
+    "offenses = {\n",
+    "    'drug': 0,\n",
+    "    'conspiracy': 0\n",
+    "}\n",
+    "\n",
+    "for person in individuals:\n",
+    "    \n",
+    "    crime = person['offense'].lower()\n",
+    "    \n",
+    "    if any(word in crime for word in drug_words):\n",
+    "        offenses['drug'] += 1\n",
+    "    \n",
+    "    if \"conspiracy\" in crime:\n",
+    "        offenses['conspiracy'] += 1\n",
+    "\n",
+    "offenses['drug'] = offenses['drug'] / len(individuals)\n",
+    "offenses['conspiracy'] = offenses['conspiracy'] / len(individuals)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'conspiracy': 0.6227371469949312, 'drug': 0.9840695148443157}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(offenses)"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}