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@hdemers
Created December 16, 2015 23:00
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import os\n",
"import calendar\n",
"from datetime import datetime, date, timedelta\n",
"import time\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats\n",
"from IPython.display import display\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import statsmodels.formula.api as sm\n",
"import requests\n",
"\n",
"sns.set_style('darkgrid', rc={'font.family': 'Ubuntu'})\n",
"palette = sns.color_palette()\n",
"\n",
"data_dir = \"/home/hdemers/Projets/data/thinkful/\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Unit 1: The Data Science Toolset\n",
"\n",
"## Lesson 1: Programming in Python\n",
"\n",
"### Assignment 6: Managing Data with Pandas"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"lecz_dir = data_dir + \"lecz-urban-rural-population-land-area-estimates-v2-csv/\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Loading the codebook:"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Variable</th>\n",
" <th>Description</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>ISO3v10</td>\n",
" <td>Unique identifying 3 character country code fr...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Continent</td>\n",
" <td>The Global Rural-Urban Mapping Project, Versio...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Country</td>\n",
" <td>The Global Rural-Urban Mapping Project, Versio...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>GeoRegion</td>\n",
" <td>The geographical regions used by the United Na...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>GeoSubregion</td>\n",
" <td>Within macro geographical groupings, more deta...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>ElevationZone</td>\n",
" <td>Elevation data used to generate the low elevat...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Income Group</td>\n",
" <td>From the World Bank: \"Economies are divided ac...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Lending Category</td>\n",
" <td>From the World Bank: \"IDA countries are those ...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>UrbanRuralDesignation</td>\n",
" <td>The Global Rural-Urban Mapping Project, Versio...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Population1990</td>\n",
" <td>Population counts in low elevation zones in th...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Population2000</td>\n",
" <td>Population counts in low elevation zones in th...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>Population2010</td>\n",
" <td>Population counts in low elevation zones in th...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>Population2100</td>\n",
" <td>Extrapolated population counts in low elevatio...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>LandArea</td>\n",
" <td>Land Areas in square kilometers</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>PercentofCountryPopulation1990</td>\n",
" <td>Percent of total country population year 1990</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>PercentofCountryPopulation2000</td>\n",
" <td>Percent of total country population year 2000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>PercentofCountryPopulation2010</td>\n",
" <td>Percent of total country population year 2010</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>PercentofCountryPopulation2100</td>\n",
" <td>Percent of total country population year 2100</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>PercentofCountryLandArea</td>\n",
" <td>Percent of total country land area</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Variable \\\n",
"0 ISO3v10 \n",
"1 Continent \n",
"2 Country \n",
"3 GeoRegion \n",
"4 GeoSubregion \n",
"5 ElevationZone \n",
"6 Income Group \n",
"7 Lending Category \n",
"8 UrbanRuralDesignation \n",
"9 Population1990 \n",
"10 Population2000 \n",
"11 Population2010 \n",
"12 Population2100 \n",
"13 LandArea \n",
"14 PercentofCountryPopulation1990 \n",
"15 PercentofCountryPopulation2000 \n",
"16 PercentofCountryPopulation2010 \n",
"17 PercentofCountryPopulation2100 \n",
"18 PercentofCountryLandArea \n",
"\n",
" Description \n",
"0 Unique identifying 3 character country code fr... \n",
"1 The Global Rural-Urban Mapping Project, Versio... \n",
"2 The Global Rural-Urban Mapping Project, Versio... \n",
"3 The geographical regions used by the United Na... \n",
"4 Within macro geographical groupings, more deta... \n",
"5 Elevation data used to generate the low elevat... \n",
"6 From the World Bank: \"Economies are divided ac... \n",
"7 From the World Bank: \"IDA countries are those ... \n",
"8 The Global Rural-Urban Mapping Project, Versio... \n",
"9 Population counts in low elevation zones in th... \n",
"10 Population counts in low elevation zones in th... \n",
"11 Population counts in low elevation zones in th... \n",
"12 Extrapolated population counts in low elevatio... \n",
"13 Land Areas in square kilometers \n",
"14 Percent of total country population year 1990 \n",
"15 Percent of total country population year 2000 \n",
"16 Percent of total country population year 2010 \n",
"17 Percent of total country population year 2100 \n",
"18 Percent of total country land area "
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.read_csv(lecz_dir +\n",
" \"lecz-urban-rural-population-land-area-estimates_codebook.csv\")\n",
"\n",
"df"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"120\n"
]
}
],
"source": [
"df = pd.read_csv(\n",
" lecz_dir +\n",
" \"lecz-urban-rural-population-land-area-estimates_continent-90m.csv\"\n",
")\n",
"\n",
"print len(df)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Continent</th>\n",
" <th>ElevationZone</th>\n",
" <th>UrbanRuralDesignation</th>\n",
" <th>Population1990</th>\n",
" <th>Population2000</th>\n",
" <th>Population2010</th>\n",
" <th>Population2100</th>\n",
" <th>LandArea</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Africa</td>\n",
" <td>Elevations &gt; 20m or Non-Contiguous</td>\n",
" <td>Rural</td>\n",
" <td>333302081</td>\n",
" <td>418265923</td>\n",
" <td>530184094</td>\n",
" <td>1249908321</td>\n",
" <td>23749644</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Africa</td>\n",
" <td>Elevations &gt; 20m or Non-Contiguous</td>\n",
" <td>Urban</td>\n",
" <td>157846329</td>\n",
" <td>210381843</td>\n",
" <td>266776037</td>\n",
" <td>504662423</td>\n",
" <td>204719</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Africa</td>\n",
" <td>Elevations Less Than or Equal To 10m</td>\n",
" <td>Rural</td>\n",
" <td>18167003</td>\n",
" <td>22569516</td>\n",
" <td>28154645</td>\n",
" <td>76368900</td>\n",
" <td>172460</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Africa</td>\n",
" <td>Elevations Less Than or Equal To 10m</td>\n",
" <td>Urban</td>\n",
" <td>22412955</td>\n",
" <td>28679117</td>\n",
" <td>36746774</td>\n",
" <td>94042536</td>\n",
" <td>13838</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Africa</td>\n",
" <td>Elevations Less Than or Equal To 12m</td>\n",
" <td>Rural</td>\n",
" <td>20569411</td>\n",
" <td>25576481</td>\n",
" <td>31957186</td>\n",
" <td>85839163</td>\n",
" <td>202456</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Continent ElevationZone UrbanRuralDesignation \\\n",
"0 Africa Elevations > 20m or Non-Contiguous Rural \n",
"1 Africa Elevations > 20m or Non-Contiguous Urban \n",
"2 Africa Elevations Less Than or Equal To 10m Rural \n",
"3 Africa Elevations Less Than or Equal To 10m Urban \n",
"4 Africa Elevations Less Than or Equal To 12m Rural \n",
"\n",
" Population1990 Population2000 Population2010 Population2100 LandArea \n",
"0 333302081 418265923 530184094 1249908321 23749644 \n",
"1 157846329 210381843 266776037 504662423 204719 \n",
"2 18167003 22569516 28154645 76368900 172460 \n",
"3 22412955 28679117 36746774 94042536 13838 \n",
"4 20569411 25576481 31957186 85839163 202456 "
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Lesson 3: Working With Databases\n",
"\n",
"### Assignment 1: Getting Familiar with SQLite"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I'm not using the command line in the following. I'm doing it all from python using sqlite3.\n",
"\n",
"\n",
"Let's create the first table: `cities`."
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import sqlite3 as lite\n",
"\n",
"con = lite.connect('getting_started.db')\n",
"\n",
"with con:\n",
" cur = con.cursor()\n",
" try:\n",
" cur.execute(\"drop table cities\")\n",
" except lite.OperationalError as e:\n",
" print e\n",
" \n",
" cur.execute(\"create table cities (name text, state text);\")\n",
" cur.execute(\"\"\"INSERT INTO cities (name, state) VALUES\n",
" ('New York City', 'NY'),\n",
" ('Boston', 'MA'),\n",
" ('Chicago', 'IL'),\n",
" ('Miami', 'FL'),\n",
" ('Dallas', 'TX'),\n",
" ('Seattle', 'WA'),\n",
" ('Portland', 'OR'),\n",
" ('San Francisco', 'CA'),\n",
" ('Los Angeles', 'CA');\"\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The above code creates a database, *getting_started_db*, if one doesn't already exist. It creates a table in that database called `cities` and insert data into it.\n",
"\n",
"The second table, `weather`, should contain the following columns:\n",
"- `city` text,\n",
"- `year` integer,\n",
"- `warm_month` text,\n",
"- `cold_month` text,\n",
"- `average_high` integer"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"with con:\n",
" cur = con.cursor()\n",
" try:\n",
" cur.execute(\"drop table weather\")\n",
" except lite.OperationalError as e:\n",
" print e\n",
" cur = con.execute(\n",
" \"\"\"create table weather\n",
" (city text, year integer, warm_month text, cold_month text,\n",
" average_high integer);\"\"\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And the following data"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"data = [\n",
" (\"New York City\", 2013, \"July\", \"January\", 62),\n",
" (\"Boston\", 2013, \"July\", \"January\", 59),\n",
" (\"Chicago\", 2013, \"July\", \"January\", 59),\n",
" (\"Miami\", 2013, \"August\", \"January\", 84),\n",
" (\"Dallas\", 2013, \"July\", \"January\", 77),\n",
" (\"Seattle\", 2013, \"July\", \"January\", 61),\n",
" (\"Portland\", 2013, \"July\", \"December\", 63),\n",
" (\"San Francisco\", 2013, \"September\", \"December\", 64),\n",
" (\"Los Angeles\", 2013, \"September\", \"December\", 75),\n",
"]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"with con:\n",
" cur = con.cursor()\n",
" cur.executemany('insert into weather values (?, ?, ?, ?, ?)', data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At this point we have a database with two tables and some data inserted into them.\n",
"\n",
"Let's make sure we have the data we think we have in there:"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[(u'New York City', u'NY'),\n",
" (u'Boston', u'MA'),\n",
" (u'Chicago', u'IL'),\n",
" (u'Miami', u'FL'),\n",
" (u'Dallas', u'TX'),\n",
" (u'Seattle', u'WA'),\n",
" (u'Portland', u'OR'),\n",
" (u'San Francisco', u'CA'),\n",
" (u'Los Angeles', u'CA')]"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with con:\n",
" cur = con.cursor()\n",
" cur.execute(\"select * from cities\")\n",
" rows = cur.fetchall()\n",
"\n",
"rows"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[(u'New York City', 2013, u'July', u'January', 62),\n",
" (u'Boston', 2013, u'July', u'January', 59),\n",
" (u'Chicago', 2013, u'July', u'January', 59),\n",
" (u'Miami', 2013, u'August', u'January', 84),\n",
" (u'Dallas', 2013, u'July', u'January', 77),\n",
" (u'Seattle', 2013, u'July', u'January', 61),\n",
" (u'Portland', 2013, u'July', u'December', 63),\n",
" (u'San Francisco', 2013, u'September', u'December', 64),\n",
" (u'Los Angeles', 2013, u'September', u'December', 75)]"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"with con:\n",
" cur = con.cursor()\n",
" cur.execute(\"select * from weather\")\n",
" rows = cur.fetchall()\n",
"rows"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"All is good.\n",
"\n",
"Now the above rows can be put into a pandas DataFrame, like so:"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>0</th>\n",
" <th>1</th>\n",
" <th>2</th>\n",
" <th>3</th>\n",
" <th>4</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>New York City</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Boston</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Chicago</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Miami</td>\n",
" <td>2013</td>\n",
" <td>August</td>\n",
" <td>January</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Dallas</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Seattle</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>61</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Portland</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>December</td>\n",
" <td>63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>San Francisco</td>\n",
" <td>2013</td>\n",
" <td>September</td>\n",
" <td>December</td>\n",
" <td>64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Los Angeles</td>\n",
" <td>2013</td>\n",
" <td>September</td>\n",
" <td>December</td>\n",
" <td>75</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" 0 1 2 3 4\n",
"0 New York City 2013 July January 62\n",
"1 Boston 2013 July January 59\n",
"2 Chicago 2013 July January 59\n",
"3 Miami 2013 August January 84\n",
"4 Dallas 2013 July January 77\n",
"5 Seattle 2013 July January 61\n",
"6 Portland 2013 July December 63\n",
"7 San Francisco 2013 September December 64\n",
"8 Los Angeles 2013 September December 75"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame(rows)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Or better yet... let's use the full power of pandas."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>city</th>\n",
" <th>year</th>\n",
" <th>warm_month</th>\n",
" <th>cold_month</th>\n",
" <th>average_high</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>New York City</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>62</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Boston</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Chicago</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Miami</td>\n",
" <td>2013</td>\n",
" <td>August</td>\n",
" <td>January</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Dallas</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>Seattle</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>January</td>\n",
" <td>61</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Portland</td>\n",
" <td>2013</td>\n",
" <td>July</td>\n",
" <td>December</td>\n",
" <td>63</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>San Francisco</td>\n",
" <td>2013</td>\n",
" <td>September</td>\n",
" <td>December</td>\n",
" <td>64</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Los Angeles</td>\n",
" <td>2013</td>\n",
" <td>September</td>\n",
" <td>December</td>\n",
" <td>75</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" city year warm_month cold_month average_high\n",
"0 New York City 2013 July January 62\n",
"1 Boston 2013 July January 59\n",
"2 Chicago 2013 July January 59\n",
"3 Miami 2013 August January 84\n",
"4 Dallas 2013 July January 77\n",
"5 Seattle 2013 July January 61\n",
"6 Portland 2013 July December 63\n",
"7 San Francisco 2013 September December 64\n",
"8 Los Angeles 2013 September December 75"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"con = lite.connect('getting_started.db')\n",
"df = pd.read_sql_query('select * from weather', con)\n",
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Notice we didn't need to use any cursor. We just opened up a connection to a database and that's it."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Assignment 3: Joining and Filtering Data in SQLite"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": false
},
"source": [
"We're asked here to write a SQL statement which finds the mean of the average high temperatures for all of the cities within a state.\n",
"\n",
"We need to know which cities is in which state. We need to combine information from two tables. That's a `join`. We need to take an average on the cities within a given state, that's a `group by`."
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"The warmest state is WA\n"
]
}
],
"source": [
"import sqlite3 as lite\n",
"con = lite.connect('getting_started.db')\n",
"\n",
"query = \"\"\"\n",
"SELECT state, AVG(average_high) FROM weather\n",
"JOIN cities ON city = name\n",
"GROUP BY state\"\"\"\n",
"\n",
"df = pd.read_sql_query(query, con)\n",
"s = df.max()\n",
"s[0]\n",
"\n",
"print \"The warmest state is {}\".format(s[0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Unit 2: Analyzing Data\n",
"\n",
"## Lesson 1: Probability and Statistics\n",
"\n",
"### Assignment 1: Overview of Statistics\n"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"data_str = '''Region, Alcohol, Tobacco\n",
"North, 6.47, 4.03\n",
"Yorkshire, 6.13, 3.76\n",
"Northeast, 6.19, 3.77\n",
"East Midlands, 4.89, 3.34\n",
"West Midlands, 5.63, 3.47\n",
"East Anglia, 4.52, 2.92\n",
"Southeast, 5.89, 3.20\n",
"Southwest, 4.79, 2.71\n",
"Wales, 5.27, 3.53\n",
"Scotland, 6.08, 4.51\n",
"Northern Ireland, 4.02, 4.56'''\n",
"\n",
"# First, split the string on the (hidden characters that indicate) newlines\n",
"data = data_str.splitlines() # we could also do data.split('\\n')\n",
"\n",
"# Then, split each item in this list on the commas the bracketed expression\n",
"# is a list comprehension\n",
"data = [i.split(', ') for i in data] \n",
"\n",
"# Now, create a pandas dataframe\n",
"column_names = data[0] # this is the first row\n",
"data_rows = data[1::] # these are all the following rows of data\n",
"df = pd.DataFrame(data_rows, columns=column_names)"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Region</th>\n",
" <th>Alcohol</th>\n",
" <th>Tobacco</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>North</td>\n",
" <td>6.47</td>\n",
" <td>4.03</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Yorkshire</td>\n",
" <td>6.13</td>\n",
" <td>3.76</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Northeast</td>\n",
" <td>6.19</td>\n",
" <td>3.77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>East Midlands</td>\n",
" <td>4.89</td>\n",
" <td>3.34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>West Midlands</td>\n",
" <td>5.63</td>\n",
" <td>3.47</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>East Anglia</td>\n",
" <td>4.52</td>\n",
" <td>2.92</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>Southeast</td>\n",
" <td>5.89</td>\n",
" <td>3.20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>Southwest</td>\n",
" <td>4.79</td>\n",
" <td>2.71</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>Wales</td>\n",
" <td>5.27</td>\n",
" <td>3.53</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>Scotland</td>\n",
" <td>6.08</td>\n",
" <td>4.51</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>Northern Ireland</td>\n",
" <td>4.02</td>\n",
" <td>4.56</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Region Alcohol Tobacco\n",
"0 North 6.47 4.03\n",
"1 Yorkshire 6.13 3.76\n",
"2 Northeast 6.19 3.77\n",
"3 East Midlands 4.89 3.34\n",
"4 West Midlands 5.63 3.47\n",
"5 East Anglia 4.52 2.92\n",
"6 Southeast 5.89 3.20\n",
"7 Southwest 4.79 2.71\n",
"8 Wales 5.27 3.53\n",
"9 Scotland 6.08 4.51\n",
"10 Northern Ireland 4.02 4.56"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"What kind of data types are we dealing with here?"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Region object\n",
"Alcohol object\n",
"Tobacco object\n",
"dtype: object"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We need to convert the `Alcohol` and `Tobacco` columns to float"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Convert Alcohol and Tobacco columns to float\n",
"df['Alcohol'] = df['Alcohol'].astype(float)\n",
"df['Tobacco'] = df['Tobacco'].astype(float)"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Region object\n",
"Alcohol float64\n",
"Tobacco float64\n",
"dtype: object"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.dtypes"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can compute some statistics. \n",
"\n",
"What are the mean, median and mode of Alcohol and Tobacco in the dataset provided? "
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Alcohol:\n",
" Mean: 5.44363636364\n",
" Median: 5.63\n",
" scipy Mode: (array([ 4.02]), array([ 1.]))\n",
" pandas Mode: Series([], dtype: float64)\n",
"\n",
"Tobacco:\n",
" Mean: 3.61818181818\n",
" Median: 3.53\n",
" scipy Mode: (array([ 2.71]), array([ 1.]))\n",
" pandas Mode: Series([], dtype: float64)\n"
]
}
],
"source": [
"# There's no built-in mode method in Python, so we need scipy.stats\n",
"from scipy import stats\n",
"\n",
"print \"Alcohol:\"\n",
"print \" Mean: {}\".format(df['Alcohol'].mean())\n",
"print \" Median: {}\".format(df['Alcohol'].median())\n",
"\n",
"# If all numbers occur equally often (which is the case here), stats.mode()\n",
"# will return the smallest number\n",
"print \" scipy Mode: {}\".format(stats.mode(df['Alcohol']))\n",
"print \" pandas Mode: {}\".format(df['Alcohol'].mode())\n",
"\n",
"print\n",
"print \"Tobacco:\"\n",
"print \" Mean: {}\".format(df['Tobacco'].mean())\n",
"print \" Median: {}\".format(df['Tobacco'].median())\n",
"print \" scipy Mode: {}\".format(stats.mode(df['Tobacco']))\n",
"print \" pandas Mode: {}\".format(df['Tobacco'].mode())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Pandas's `mode` return an empty series if nothing occurs at least 2 times\n",
"\n",
"#### Other Statistical Measures of Importance\n",
"\n",
"What are the range, variance, and standard deviation of Alcohol and Tobacco? \n",
"\n",
"Let's use the `describe` method of a DataFrame."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Alcohol</th>\n",
" <th>Tobacco</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>11.000000</td>\n",
" <td>11.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>5.443636</td>\n",
" <td>3.618182</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>0.797763</td>\n",
" <td>0.590708</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>4.020000</td>\n",
" <td>2.710000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>4.840000</td>\n",
" <td>3.270000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>5.630000</td>\n",
" <td>3.530000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>6.105000</td>\n",
" <td>3.900000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>6.470000</td>\n",
" <td>4.560000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Alcohol Tobacco\n",
"count 11.000000 11.000000\n",
"mean 5.443636 3.618182\n",
"std 0.797763 0.590708\n",
"min 4.020000 2.710000\n",
"25% 4.840000 3.270000\n",
"50% 5.630000 3.530000\n",
"75% 6.105000 3.900000\n",
"max 6.470000 4.560000"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The range is `max` - `min`:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"Alcohol 2.45\n",
"Tobacco 1.85\n",
"dtype: float64"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.describe().loc['max'] - df.describe().loc['min']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Ranking Data in a Distribution\n",
"\n",
"Write a script called \"stats.py\" that prints the mean, median, mode, range, variance, and standard deviation for the Alcohol and Tobacco dataset with full text (ex. \"The range for the Alcohol and Tobacco dataset is ...\").\n",
"\n",
"Let's write a function instead of a script. That function will take as argument a dataframe and a list of columns. The function should output statistics about each column."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"def describe(df, *args):\n",
" for column in args:\n",
" print\n",
" print \"== {} ===================\".format(column)\n",
" print \"mean: {}\".format(df[column].mean())\n",
" print \"median: {}\".format(df[column].median())\n",
" print \"mode: {}\".format(df[column].mode().values)\n",
" print \"range: {}\".format(max(df[column]) - min(df[column]))\n",
" print \"variance: {}\".format(df[column].var())\n",
" print \"standard deviation: {}\".format(df[column].std())"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"== Tobacco ===================\n",
"mean: 3.61818181818\n",
"median: 3.53\n",
"mode: []\n",
"range: 1.85\n",
"variance: 0.348936363636\n",
"standard deviation: 0.590708357514\n",
"\n",
"== Alcohol ===================\n",
"mean: 5.44363636364\n",
"median: 5.63\n",
"mode: []\n",
"range: 2.45\n",
"variance: 0.636425454545\n",
"standard deviation: 0.797762780873\n"
]
}
],
"source": [
"describe(df, 'Tobacco', 'Alcohol')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Assignment 2: Overview of Probability\n",
"\n",
"#### Plotting Probability Distributions in Python"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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I8lcgldo/tCFUDEsVBJ8mkoIX09YZOtR0BBASJJa6EARfJpKClzKbLdTWGzrU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\nQRAEweP/AbijVywEEbKwAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x62dcf10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"n_samples = 200\n",
"x = (np.ndarray((n_samples, 1), buffer=np.linspace(-6, 10, n_samples))\n",
" .repeat(3, axis=1))\n",
"\n",
"means = [-2, 0, 2]\n",
"stds = [0.5, 1, 2]\n",
"columns = [r'$\\mu$ = {}, $\\sigma$ = {}'.format(m, s)\n",
" for m, s in zip(means, stds)]\n",
"\n",
"df = pd.DataFrame(stats.norm.pdf(x, loc=means, scale=stds),\n",
" index=x[:, 0], columns=columns)\n",
"\n",
"ax = df.plot()\n",
"ax.set_title(\"Probability densities of various normal distributions\")\n",
"ax.set_xlabel('x')\n",
"_ = ax.set_ylabel('p(x)')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Assignment 3: Hypothesis Testing\n",
"\n",
"#### Khan Academy video on Pearson's $\\chi^2$ test (goodness of fit)\n",
"\n",
"Our hypothesis are:\n",
"\n",
"$H_0$: the restaurant's owner frequency distribution is correct.\n",
"\n",
"$H_1$: my observed distribution is correct.\n",
"\n",
"\n",
"The p-value is the probability of the null hypothesis being correct.\n",
"\n",
"Remember that you cannot accept the null hypothesis, but only find evidence against it. In an hypothesis test you either _reject_ the null hypothesis or _fail to reject_ it. Note the wording: fail to reject... that doesn't mean to accept."
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"0 20\n",
"1 20\n",
"2 30\n",
"3 40\n",
"4 60\n",
"5 30\n",
"dtype: float64"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": [
"0 30\n",
"1 14\n",
"2 34\n",
"3 45\n",
"4 57\n",
"5 20\n",
"dtype: int64"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"expected_percent = pd.Series([10, 10, 15, 20, 30, 15])\n",
"observed = pd.Series([30, 14, 34, 45, 57, 20])\n",
"expected = expected_percent / 100. * observed.sum()\n",
"display(expected)\n",
"display(observed)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(11.441666666666666, 0.043293130315804972)"
]
},
"execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.chisquare(observed, expected)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The p-value is 4% and we can safely reject the null hypothesis (at the significance level of 5%) that the owner's distribution is correct."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Lessons 2: Univariate Analysis\n",
"\n",
"### Assignment 1: Probability Distributions and Densities"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Counter({9: 3, 1: 1, 4: 1, 5: 1, 6: 1})\n",
"\n",
"The frequency of number 1 is 0.143\n",
"The frequency of number 4 is 0.143\n",
"The frequency of number 5 is 0.143\n",
"The frequency of number 6 is 0.143\n",
"The frequency of number 9 is 0.429\n"
]
}
],
"source": [
"import collections\n",
"\n",
"testlist = [1, 4, 5, 6, 9, 9, 9]\n",
"\n",
"c = collections.Counter(testlist)\n",
"\n",
"print c\n",
"print\n",
"\n",
"# calculate the number of instances in the list\n",
"count_sum = sum(c.values())\n",
"for k,v in c.iteritems():\n",
" print \"The frequency of number {} is {:.3}\".format(k, float(v) / count_sum)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Generating a basic box plot"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x62cb250>"
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAD9CAYAAACC7q1lAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngAGSCDBAEgEGSCLAAEkEGCDJvwHwcmS0W9wE8QAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x62cb150>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"x = [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 4, 4, 4, 4,\n",
" 5, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 9, 9]\n",
"\n",
"sns.boxplot(x)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Generate a histrogram of the data"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x62dc8d0>"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAWsAAAECCAYAAAA4vfbqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQFkDgAUoawCwAGUNABb4PyKSbNmcCneSAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x62dc290>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(x, bins=10, kde=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### QQ-Plots"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"test_data = np.random.normal(size=1000)\n",
"test_data2 = np.random.uniform(size=1000) "
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"QQ plot"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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kJK5cuUJMTAwXL17EZDLRsWNHunXrVuFzZmZmVzlPdQkM9HH6nK6QERybc2zQ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\npCSEEEKU6/8BgK7Uo9FHGqwAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x6d75550>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from statsmodels.graphics.gofplots import ProbPlot\n",
"pp = ProbPlot(test_data2, dist=\"norm\")\n",
"_ = pp.qqplot(line='r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Probability plot"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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rrwDwzz//MHTo0HJ1HBUVRa9evXjhhRf466+/Cq03GAw899xzTJ48uVz9CFEu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\nAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x70ec4d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = pp.probplot(line='r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"PP plot"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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IcDsYxo3LsludQpRHVoXDmjVriI2NxdXVFYBq1apx8uRJq94gKiqKnj170qdP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\nhIMQQog8JByEEELk8f/KSzzThrB3TgAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7102ed0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = pp.ppplot(line='r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Assignment 2: Visualizing Lending Club Data"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"loansData = pd.read_csv(\n",
" 'https://spark-public.s3.amazonaws.com/dataanalysis/loansData.csv')"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Amount.Requested</th>\n",
" <th>Amount.Funded.By.Investors</th>\n",
" <th>Interest.Rate</th>\n",
" <th>Loan.Length</th>\n",
" <th>Loan.Purpose</th>\n",
" <th>Debt.To.Income.Ratio</th>\n",
" <th>State</th>\n",
" <th>Home.Ownership</th>\n",
" <th>Monthly.Income</th>\n",
" <th>FICO.Range</th>\n",
" <th>Open.CREDIT.Lines</th>\n",
" <th>Revolving.CREDIT.Balance</th>\n",
" <th>Inquiries.in.the.Last.6.Months</th>\n",
" <th>Employment.Length</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>81174</th>\n",
" <td>20000</td>\n",
" <td>20000</td>\n",
" <td>8.90%</td>\n",
" <td>36 months</td>\n",
" <td>debt_consolidation</td>\n",
" <td>14.90%</td>\n",
" <td>SC</td>\n",
" <td>MORTGAGE</td>\n",
" <td>6541.67</td>\n",
" <td>735-739</td>\n",
" <td>14</td>\n",
" <td>14272</td>\n",
" <td>2</td>\n",
" <td>&lt; 1 year</td>\n",
" </tr>\n",
" <tr>\n",
" <th>99592</th>\n",
" <td>19200</td>\n",
" <td>19200</td>\n",
" <td>12.12%</td>\n",
" <td>36 months</td>\n",
" <td>debt_consolidation</td>\n",
" <td>28.36%</td>\n",
" <td>TX</td>\n",
" <td>MORTGAGE</td>\n",
" <td>4583.33</td>\n",
" <td>715-719</td>\n",
" <td>12</td>\n",
" <td>11140</td>\n",
" <td>1</td>\n",
" <td>2 years</td>\n",
" </tr>\n",
" <tr>\n",
" <th>80059</th>\n",
" <td>35000</td>\n",
" <td>35000</td>\n",
" <td>21.98%</td>\n",
" <td>60 months</td>\n",
" <td>debt_consolidation</td>\n",
" <td>23.81%</td>\n",
" <td>CA</td>\n",
" <td>MORTGAGE</td>\n",
" <td>11500.00</td>\n",
" <td>690-694</td>\n",
" <td>14</td>\n",
" <td>21977</td>\n",
" <td>1</td>\n",
" <td>2 years</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15825</th>\n",
" <td>10000</td>\n",
" <td>9975</td>\n",
" <td>9.99%</td>\n",
" <td>36 months</td>\n",
" <td>debt_consolidation</td>\n",
" <td>14.30%</td>\n",
" <td>KS</td>\n",
" <td>MORTGAGE</td>\n",
" <td>3833.33</td>\n",
" <td>695-699</td>\n",
" <td>10</td>\n",
" <td>9346</td>\n",
" <td>0</td>\n",
" <td>5 years</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33182</th>\n",
" <td>12000</td>\n",
" <td>12000</td>\n",
" <td>11.71%</td>\n",
" <td>36 months</td>\n",
" <td>credit_card</td>\n",
" <td>18.78%</td>\n",
" <td>NJ</td>\n",
" <td>RENT</td>\n",
" <td>3195.00</td>\n",
" <td>695-699</td>\n",
" <td>11</td>\n",
" <td>14469</td>\n",
" <td>0</td>\n",
" <td>9 years</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Amount.Requested Amount.Funded.By.Investors Interest.Rate Loan.Length \\\n",
"81174 20000 20000 8.90% 36 months \n",
"99592 19200 19200 12.12% 36 months \n",
"80059 35000 35000 21.98% 60 months \n",
"15825 10000 9975 9.99% 36 months \n",
"33182 12000 12000 11.71% 36 months \n",
"\n",
" Loan.Purpose Debt.To.Income.Ratio State Home.Ownership \\\n",
"81174 debt_consolidation 14.90% SC MORTGAGE \n",
"99592 debt_consolidation 28.36% TX MORTGAGE \n",
"80059 debt_consolidation 23.81% CA MORTGAGE \n",
"15825 debt_consolidation 14.30% KS MORTGAGE \n",
"33182 credit_card 18.78% NJ RENT \n",
"\n",
" Monthly.Income FICO.Range Open.CREDIT.Lines Revolving.CREDIT.Balance \\\n",
"81174 6541.67 735-739 14 14272 \n",
"99592 4583.33 715-719 12 11140 \n",
"80059 11500.00 690-694 14 21977 \n",
"15825 3833.33 695-699 10 9346 \n",
"33182 3195.00 695-699 11 14469 \n",
"\n",
" Inquiries.in.the.Last.6.Months Employment.Length \n",
"81174 2 < 1 year \n",
"99592 1 2 years \n",
"80059 1 2 years \n",
"15825 0 5 years \n",
"33182 0 9 years "
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData.head()"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<class 'pandas.core.frame.DataFrame'>\n",
"Int64Index: 2500 entries, 81174 to 3116\n",
"Data columns (total 14 columns):\n",
"Amount.Requested 2500 non-null int64\n",
"Amount.Funded.By.Investors 2500 non-null float64\n",
"Interest.Rate 2500 non-null object\n",
"Loan.Length 2500 non-null object\n",
"Loan.Purpose 2500 non-null object\n",
"Debt.To.Income.Ratio 2500 non-null object\n",
"State 2500 non-null object\n",
"Home.Ownership 2500 non-null object\n",
"Monthly.Income 2499 non-null float64\n",
"FICO.Range 2500 non-null object\n",
"Open.CREDIT.Lines 2498 non-null float64\n",
"Revolving.CREDIT.Balance 2498 non-null float64\n",
"Inquiries.in.the.Last.6.Months 2498 non-null float64\n",
"Employment.Length 2500 non-null object\n",
"dtypes: float64(5), int64(1), object(8)\n",
"memory usage: 293.0+ KB\n"
]
}
],
"source": [
"loansData.info()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Amount.Requested</th>\n",
" <th>Amount.Funded.By.Investors</th>\n",
" <th>Monthly.Income</th>\n",
" <th>Open.CREDIT.Lines</th>\n",
" <th>Revolving.CREDIT.Balance</th>\n",
" <th>Inquiries.in.the.Last.6.Months</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>2500.000000</td>\n",
" <td>2500.000000</td>\n",
" <td>2499.000000</td>\n",
" <td>2498.000000</td>\n",
" <td>2498.000000</td>\n",
" <td>2498.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>12406.500000</td>\n",
" <td>12001.573236</td>\n",
" <td>5688.931321</td>\n",
" <td>10.075661</td>\n",
" <td>15244.559648</td>\n",
" <td>0.906325</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>7801.544872</td>\n",
" <td>7745.320754</td>\n",
" <td>3963.118185</td>\n",
" <td>4.508644</td>\n",
" <td>18308.549795</td>\n",
" <td>1.231036</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1000.000000</td>\n",
" <td>-0.010000</td>\n",
" <td>588.500000</td>\n",
" <td>2.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>6000.000000</td>\n",
" <td>6000.000000</td>\n",
" <td>3500.000000</td>\n",
" <td>7.000000</td>\n",
" <td>5585.750000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>10000.000000</td>\n",
" <td>10000.000000</td>\n",
" <td>5000.000000</td>\n",
" <td>9.000000</td>\n",
" <td>10962.000000</td>\n",
" <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>17000.000000</td>\n",
" <td>16000.000000</td>\n",
" <td>6800.000000</td>\n",
" <td>13.000000</td>\n",
" <td>18888.750000</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>35000.000000</td>\n",
" <td>35000.000000</td>\n",
" <td>102750.000000</td>\n",
" <td>38.000000</td>\n",
" <td>270800.000000</td>\n",
" <td>9.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Amount.Requested Amount.Funded.By.Investors Monthly.Income \\\n",
"count 2500.000000 2500.000000 2499.000000 \n",
"mean 12406.500000 12001.573236 5688.931321 \n",
"std 7801.544872 7745.320754 3963.118185 \n",
"min 1000.000000 -0.010000 588.500000 \n",
"25% 6000.000000 6000.000000 3500.000000 \n",
"50% 10000.000000 10000.000000 5000.000000 \n",
"75% 17000.000000 16000.000000 6800.000000 \n",
"max 35000.000000 35000.000000 102750.000000 \n",
"\n",
" Open.CREDIT.Lines Revolving.CREDIT.Balance \\\n",
"count 2498.000000 2498.000000 \n",
"mean 10.075661 15244.559648 \n",
"std 4.508644 18308.549795 \n",
"min 2.000000 0.000000 \n",
"25% 7.000000 5585.750000 \n",
"50% 9.000000 10962.000000 \n",
"75% 13.000000 18888.750000 \n",
"max 38.000000 270800.000000 \n",
"\n",
" Inquiries.in.the.Last.6.Months \n",
"count 2498.000000 \n",
"mean 0.906325 \n",
"std 1.231036 \n",
"min 0.000000 \n",
"25% 0.000000 \n",
"50% 0.000000 \n",
"75% 1.000000 \n",
"max 9.000000 "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData.describe()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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xxRdpamoiISGB733vewQCAeLj409r+1ToHTp0iO985zssXLiQhoYGfvrTn1Jd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\nTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x73b6890>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = loansData.boxplot(column='Amount.Funded.By.Investors', return_type='axes')"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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YMkT2Axbio6Ts+9HUqTN44YXnibVUS9n3ISvaRufxdVjhJgKBTBYuvImZM+fI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\n3wcRAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x73b3d90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = sns.violinplot(loansData['Amount.Funded.By.Investors'].values)"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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G7y/m7Y6xTkvIuQ6F0f53Hi6SU2QMWFRsNht1dXW9jxVFwWazAWC32/F4PL3b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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x6d84250>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_ = sns.distplot(loansData['Amount.Funded.By.Investors'].values)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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LJX/TVgmWRko6FyGEQ1hPh1VHYTjreYunacUZSoL7WMdWJFQaNbs6l3379lFSUgLA1q1b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\niYyMJDs7G4Ds7GwiIyMJCws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LiIiIcOvHiQvHknARTUbz5s0pKSkBrKenli5dyq233lpp\nnUtPrSmKUu108uXl5Xh6epKUlFTlqZa1PeWyulN3ixYtonv37qxevZrt27cTFxdX4/tbtWpFq1at\n2LdvH7fffrtt+b59+2jXrh1arRaNRsO5c+eqvPc///kPX3/9NZ999hk6nY7bb7+92uDw8vKyfZ/s\nfWKnxWJh4MCBvPrqq1Ve+/zzz9m4cSPDhg3jzTff5LbbbrNrm6Jhk9NiokkKDg7mnXfeoaioCEVR\nbH/B9+3bl7i4OEpLS/n999/ZvXs3wcHBVd7fvn17rr32WlatWoXFYqGkpASz2QxA69atbV1IUVFR\nlf1u2LCB/Px82+tlZWVotVoAPDw8bOs2b94ck8lUZd9RUVGVOp1ffvmFWbNmMXHiRAC6du3Kzz//\nzOnTpyu9r7S0FI1GQ/PmzQFqfAbLxYFT27FoNBoKCgoACAoK4uuvvyYjIwPAtu/8/Hw0Gg2RkZH0\n69eP5OTkavcpGh8JF9Fo2PPQqorX//nPf6LX67n33nv5+9//bhvcnjRpEr6+voSEhPD4448zbdo0\nOnXqVOm9FZ+/9dZbfPfddwQHB3P33Xfz448/AjB27Fi2bNlCcHAwq1atqlTXsGHDuPXWWxk0aBBB\nQUFs3LiRiRMn8tVXXxEYGMgrr7xCx44dAbjrrrvYt28f3377baVjGDZsGKNGjeLxxx8nICCAqKgo\nxowZw9ChQwHrAP+jjz7Kww8/TN++fTl79iw+Pj706dOHv/71r/Tr14++fftiMBiqDZqLP6/tWIKC\ngsjPzycuLo5evXoxefJkoqKiCAwMtI3PJCUlERISQnBwML/++muNFwOIxkceFiZEAzZ37lz++OMP\nXnzxRa677jpXlyOEjYSLEA1YeXk5cXFxfPXVV9x///2MHj3a1SUJAUi4CCGEcAIZcxFCCOFwEi5C\nCCEcTsJFCCGEw0m4CCGEcDgJFyGEEA73/whdT+OuxjgXAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x6cafed0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pp = ProbPlot(loansData['Amount.Funded.By.Investors'].values, dist=\"norm\")\n",
"_ = pp.qqplot(line='r')"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x652a3d0>"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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EzJOgEof6Z9JPzUiJcklGP9M4A4/ePxuvL8AvX/+IgEyKFOKGhBVUSktLsdvt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\ngg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x6c8dd10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(loansData['Amount.Requested'].values)"
]
},
{
"cell_type": "code",
"execution_count": 49,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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iiy/w+/2MGjWKBQsWUFpayujRoxk1ahSpqance++9LFmyhPvuu49Ro0Zx1113\n8atf/YqZM2fGf1p44oknyMvL44orruC+++7juuuu4+mnn+aDDz7gnnvuIS0tjZtvvpkHH3yQxx57\njKqqKt544w16enq44YYbhu3fTC4+Ku8gcp5UVlZyyy23UFxcfKGHIqIPfEVE7EgrfxERG9LKX0TE\nhhT+IiI2pPAXEbEhhb+IiA0p/EVEbEjhLyJiQ/8XGOjVAKU64iUAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x6f2d4d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ax = loansData.boxplot(column='Amount.Requested', return_type='axes')"
]
},
{
"cell_type": "code",
"execution_count": 50,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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UGy6ff/45q1ev5tZbb7Uta968ObNmzaJ///58//339OvXzyGF+Pj4kJ2dTaNG\njTAajRgMBtuyS7KzszEYDBgMBtvynJwc9Ho9YA2l/Px86tatS3Z2NvXr16/wc3199Q6p39mkTsdx\neo0FBTB9OsycCcXFLOIlJvM+OdzcnVtHj1ZVye9vVaypNFJn5So3XIxGY4lgueTWW2/FZDLxzDPP\n8NxzzzmkkICAAHbs2EHLli3ZuXMngYGB+Pn5YTQaOXPmDHq9nrS0NNq3b49KpSI2NpYBAwYQHx9P\nYGBgiW306NGD+Ph4Ro4cWeHnnjtndEj9zuTrq5c6HcTZNbof2GftVtIOUtzcj8eOf0w8QVzfacVX\ns16/Mm1aPufOOahQB6kOP3OQOh3NngAsd8ylefPm/PTTT9cs37t3L40aNWLAgAE3Xh3WWyVfuvJ/\n+PDh7N+/n5CQEIqKiujVqxcqlYoZM2YwduxYwsLCiIiIQKvVEhAQQOvWrQkODubzzz8nIiICgIkT\nJ7Ju3TqCg4Np3bo1HTt2vKn6hLBbYSFe78/A58lHcU87SN7g4fgcTyWeR7nZYBk6tFCuXxHVjkq5\ncuDjKjt27ODtt99mwoQJPPjggwDs2bOHOXPmMHXqVJ544olKK9RZqstfCVKnYzijRvdfDqAfNxr3\ng79SfOttGGMWYejbk4pDpbwr8FVUhyvuq8PPHKROR7Oncyn3sNijjz6KRqNhyZIlTJs2DUVRaNOm\nDe+//z4PP3wjE+oJUYMUFuI1bzZe82ajMptZzkheOzkLY19v7O1Wyppg0vpLRiafFNVXhRdRdurU\nSeYRE+Iqbr/+gn78aDx+TeU4tzGCj9jO9XTyCn5+clqxqLnsvhOlEAIoKsJr/hy85kajMpv5kOG8\nymyy8bmOjciU+KLmk3ARwk5uB39DPy4cj18OcJJbGMGHfMNT17EF6xiLdCyiNrB7VuTTp0/LFe+i\ndjKb8YqZhe6RLnj8coCPGcI9/HrdwaJSmTl71sSePVV3gF4IR7ErXD799FNeeOEFxo8fD8Bff/1l\n1zUkQlR3bmkH8XmqG9r3ZnAOX3rwJcNZwcXrPAxWr56ZjAwJFVF72BUuH374IRs2bKBOnToANGjQ\ngF9++cWphQnhUmYznvPnYHi8Cx4H9vEJYdzDr3xFDzverJR41Klj5o8/JFhE7WL3mItOd3nqijNn\nzuB11TThQtQUbod+Rz8+HI99P1PcuAm9M5bzX3rZ+e6qf22KEJXBrs6ld+/eREREkJ+fz5IlSxg4\ncCB9+vROluFvAAAd8klEQVRxdm1CVKqmjeoyu9FivDp3xmPfz6xmIL4Zv0qwCHED7OpcXnnlFb76\n6isMBgMnT55kwoQJPP30086uTYhK07nRSXYzFH+S+T8aM4rlbOZZO999+SwwGawXwsruw2JPPfUU\nTz11+eyY7777jm7dujmlKCEqS5NGnkQQw36mUpcCPuUFxrOACzSw493WUHFzk1sMC3G1MsPlk08+\n4dSpU9csV6lUZGdns3fvXgkXUa093Og0uxhKIIlk0Ij+LGMT9s7yrbB0aT7BwXLNihClKTNcGjRo\nYLsJF1Dixl4NGjRg+PDhzq1MiJtgvV1w6dR4Mp4FHOB1PMnnM55nLIv4i4Z2bl3B09MswSJEOcoM\nl2eeeeaaZRaLBbDepliIquhyqJQ+cWRL/mAFQ+nED5zFl0GsZj0h1/EJ0rEIYQ+7UuLChQu89NJL\n3HfffbRr145hw4Zx4sQJZ9cmhF2aNdPRqJHu72Ap/T70KiyMZz4HaE8nfuBz+nI3v5UTLEqpjyZN\npGMRwh52DehPnz6dW265hYSEBFQqFZ9++ilTpkxh9erVzq5PiGtce8ir/Ont7+B/fMwwurCL8zRg\nCCv5gvJuz20NkdRUGaQX4kbZFS4//fQTCQkJtsNh4eHhrFy50pl1CVGqy91JxVRYeInFvM9ktOSy\nnj6MYQlnaVzOu6xX1EuwCHFz7D4VOTc31/b1yZMnadKkCSaTddrwK6/eF8KRrrdLueR2jvAxw3iE\n7/mL+gwnlnU8X8H7ZSp8IRzFrnDx9fXlgQceuGb5Aw88gEqlIi0tzeGFidqtWTMdZjNc7/3nVVgI\nZxnRRKIjh008SzhLyaDJFWuVfnvhzp1lLEUIR7ErXDZu3OjsOkQtVfYpw9cXKgB+HOVjhvEoO7mA\ngQEsY7O2H0f+LACsHYncPliIymH3YbEjR45w4sQJzObLf93JRZTiRt15p5asrNLP7Lp+CqNYzixe\nQ4+JzfTkNf0idh82MI8CB2xfCHG97AqX999/n/Xr19OyZUvc3S+/RcJF2ONykFzJEaECzTnKR4zk\ncb4lEx8iGnzMlIPB7FY5ZvtCiBtjV7jExcWxbds26tev7+x6RA0REuJJQoLb38+c8YteYQQfslDz\nKnULjRQ83h3LnAVMadLUCZ8lhLhedoWLt7e3nBEmbC4Ptpem/Cvkb451IP5WThDLSJ5gG5a69cie\nvZSC518A6VaEqDLsCpdu3brRo0cPcnJybGMuKpWKlJQUpxYnXKv0w1lQfnA4L1SGDilgfvtYtG9O\nQW3MpvDRxzDOXYil2S1O+EwhxM2wK1wSEhIYMWIEDz30EBqNxtk1iUpU8vDV1SqzEyj99GCAnj2L\nWDHjCPoJ49Cs/BaL3hvjvMXk9x8o3YoQVZRd4ZKTk0NoaKiza6mRQkI82bXL+su7c+di4uLyKnz9\n6mUaDXz3nfVwU716ChcvqlDK/l18narCL2eFzp3NrF9fylXxikKdzz5F1yUKdfZFCh95FGPMIiy3\n3Fr5ZQoh7GZXuGg0Gt57770S0+6rVCqioqKcVlhNYO0KLn+LExLcad9ey+rVebRrZyn19Vtv1VFY\nqCqxzMq6rPTDVNXJtak4dGghM2cWXrNcfeY0uonjqfPtNiw6Pca5C8kfECbdihDVgF3hMnbs2Gtu\nHKaS/+AVutR9XOnMGTWDBnly4EBOqa9fGSw1x+VAiYoqICKiqILVFep8vhbdG5NRX8yisEsQxnmL\nsNx6m5PrFEI4il3h0qdPH2fX4TArV65ky5YteHh4MGPGDFq1auXqkmqwq7sQVSnL7AyUv6kz/g/d\nqy9T55uvsGh1GGfNIz9sqHQrQlQzdoXL4cOHWbZsGWfPnrXdMKx58+a8++67Ti3ueh07dowNGzaw\nadMmfvnlF6ZNm8aaNWtcVk/nzsUlDnsBNG1qYfXqvDJf12iUKti9XBsYKhUsWVLyplk3NbWKolBn\n/efopryGOiuLws5drWMrzf1utGghhAvZdbOwSZMm4efnx+HDhxk4cCCDBw/m+++/d3Zt1y05OZlO\nnTqhVqtp3749hw8fLjFdTWWLi8ujaVOL7XnTphYOHMihXTtLma+fPGm6ZtktV5xpq1Y7bCT/KqXf\nHEulst558exZU4lHRobJYTfNUmVk4D34BbzHjERVWITx/Tlc/OI/EixCVGN2hcupU6cYO3YsAN27\nd+exxx5z6S/tsmRlZeHt7W17rtfrycrKcmFFsHq1NUCu7Fgqev3qZZs3Y3u+eHE+TZtaaNiw7IeP\njwW1WsHHx/q1SqWU+rgUIGp16QHi6BC5hqJQZ8MX1O/yEHW+/pLChztz4ftE8oeNBLmVthDVml2H\nxbRaLWazmdatWzN79my0Wi2NG5d3wyXX8PHx4ejRo7bnJpMJHx+fct/j66t3ak3dusHp05eeae16\nvbRlp09f+mXrSXi4vZ9+PYfXPK9j3bLZ/f3MyIDRo2HjRvDygoUL0YwZQ4NKCBVn/8wdRep0LKmz\ncqkUpeIrJrKzs/H29ubkyZPMmzcPs9lMeHg4d911V2XUaLdjx44xbtw4Nm7cyC+//MKcOXMqvBXz\nuXPGSqruxlnHMmpOnXX+swHdpAmoL1yg0D8Q4/wlWG7/RyVUWPO+l64mdTpWdaqzIuV2LoWFhWg0\nGtuhJoPBQNeuXdHpdFUuWAD8/Pzo06cPffv2RaPR8M4777i6JHEF1fnz6CdNoM6WTSienpjenUne\n8FFyCEyIGqjccBk0aBD/+te/uOOOOygsLKR///5otVpycnJITU3l5Zdfrqw67TZkyBCGDBni6jLE\nVTRbNqGfNAH1+fMUPeSPccESiv/R0tVlCSGcpNw/GY8dO8Ydd9wBwH/+8x8MBgNr165lzZo1cndK\nYRfVX3+hHzmEesPDUJlMmKb/i6z/fCXBIkQNV27n4u7uTn5+PnXq1GHVqlVMnDgRsE7Bn5ubWykF\niupL89/N6CMjUJ8/R9GDHa3dyh1yUasQtUG54fLoo48yfPhw3NzccHd3p0uXLgCcPXu2wrOwRO2l\nuvAXuimvUXdDHEqdOpjefpe8UWPArazZl4UQNU254fLmm2/y3//+F5PJRM+ePVH/PfCam5tLuP3n\nw4paRPPVl+hffRn1ubMU3f8AxgXLKG51p6vLEkJUsgoPi/Xu3fua5S1atKBFixbOqklUQ6rMCxAx\nmnqffmrtVqZOJ2/MOOlWhKil7LqIUojyaL75Ct3E8XA2g6L7Oli7ldZV71R1IUTlkXARN0yVlYnu\n9UnU/eIzFI0G3nuPrMGjwF3+WQlR28lvAXFDNNu/RjfxZdz+7wxF7e/DuHAZ9Ts/BNXg6mIhhPNJ\nuIjrorqYhW5qFHU/+xTFw4OcKW+SO/YV6VaEECXIbwRhN48d29FHjMPtzGmK2t2LccFSitve7eqy\nhBBVkISLqJAq+yLat17H89NVKO7u5Ex6ndzxE8DDw9WlCSGqKAkXUS6Pnd+hjxiL2+lTFN3Tztqt\n3PNPV5clhKjiZDpaUSqVMRvdxPH4PP8c6rMZ5Lw6mayvd0iwCCHsIp2LuIbH9zut3crJE5jb3kP2\nwmUU/7Odq8sSQlQj0rkIG5XJiO7VV/Dp+yzqM6fJmRBJ5rZ4CRYhxHWTzkUA4LHre/SvvITbieOY\n27TFuGAp5vb3ubosIUQ1JZ1LbWcyoZs0AZ/gnqhPnyIn4lUyt30vwSKEuCnSudRiHj/sQv/yS7gd\nP4q59V3WbuW++11dlhCiBpDOpTbKyUEX9So+zz2N+uRxcsdPIHN7ggSLEMJhpHOpZTwSf0A/fjRu\nx45ibnUnxoXLMHd4wNVlCSFqGOlcaovcXLRvTKJe7x6oTxwnd+wrZH63W4JFCOEU0rnUAu5Jiehf\nHo37n0cwt2xlHVt54CFXlyWEqMGkc6nJ8vLQvjkFn2efxO3on+SOHmftViRYhBBOJp1LDeWekmzt\nVg7/D/M/7sA4fynmjv6uLksIUUtIuNQ0eXloZ76L59KFAOSOeomcqKng5eXiwoQQtYmESw3i/lMK\n+vGjcf/fH5hv/4e1W/EPcHVZQohaSMZcaoL8fLTT38TnmSdw/98f5L44msydP0qwCCFcRjqXas59\n317048JxTz9EsV8LjPOXUBTYydVlCSFqOelcqquCArTvTsPnqW64px8ib/iLXIhPlGARQlQJ0rlU\nQ+77f7aOrfyeRnFzP4zzFlPUqYuryxJCCBuXdC6nT5/m2WefZevWrbZlKSkpBAcH06dPnxLLo6Oj\nCQkJISwsjIyMDAAyMjIICwsjODiY6Oho27pbt26lT58+BAcHk5KSUnk7VFkKCvB6b7q1W/k9jbwh\nw63digSLEKKKqfRw2bNnD+Hh4Wg0Gtsyi8XC1KlTWbx4MatWrSImJgaTyURiYiLp6enExcURGhrK\n3LlzAZg9ezahoaGsX7+e9PR0kpKSMJlMzJ07l9WrV7No0SLefPPNyt41p3JP3Y/hia5oY2ZjaXYL\nWeu3YIqOAZ3O1aUJIcQ1Kj1c7r33XjZt2kTLli1ty44fP45Op6NJkybodDratGlDamoqSUlJBAUF\nAdC1a1cSExMBSE5Oti0PCgoiMTGR1NRU2rZti1arpWnTpmi1Wo4dO1bZu+d4hYXw1lv4dA/CPe0g\neWHDyPw+kaLOXV1dmRBClKnSx1w8PDyuWZaZmUm9evVsz729vcnMzCQzM9MWQlqtFqPRCIDRaMTT\n0xMAvV7PoUOHSt1GVlYWfn5+5dbj66u/6X1ymv37YcgQOHAA1W23QWwsno8/jqer6ypHlf5+/q06\n1AhSp6NJnZXLqeGyadMmVq5cWWLZhx9+iK+vb4llPj4+ZGdn255nZ2djMBgwGAy25Tk5Oej11m+6\nTqcjPz+funXr2tYtaxsVOXfOeKO75zxFRXjNm41XzCxUZjOMGMH5qLdR9N5QFev9m6+vvmp+P69Q\nHWoEqdPRpE7HsicAnRouvXv3pnfv3hWu5+fnh9Fo5MyZM+j1etLS0mjfvj0qlYrY2FgGDBhAfHw8\ngYGBAAQEBLBjxw569OhBfHw8I0eO5O677+att97CZDKRnZ2NyWSiefPmztw9p3D79Rf040fj8Wsq\nxc1uwTh3IT7PP4dSDf7BCSHEJVXiVGS1Ws2MGTMYO3YsiqIQERGBVqslICCA3bt3ExwcjE6ns50Z\nNnHiRCIjI4mNjcXf35+OHTsCMGHCBMLCwgB45513XLY/N6SoCK8Fc/GaG42qqIi8FwaRM/1fKN71\nKn6vEEJUMSpFURRXF+FKVaEFdUs7iH5cOB6p+ylu0hRTzEIKuz1he706tcpVvc7qUCNInY4mdTqW\nPYfF5Ap9VzKb8Zo3G8NjnfFI3U9+6AAydyWXCBYhhKiOqsRhsdrI7dDv6MeNwmP/PoobN8E0dwGF\njz/p6rKEEMIhpHOpbGYzngvmYujWCY/9+8jvG2rtViRYhBA1iHQulcgt/RD68eF4/LyX4kaNMc2e\nT+GTPVxdlhBCOJx0LpWhuBjPRfOt3crPe8kP7mftViRYhBA1lHQulUA/ZgR1N67H0tCX7OXzKezx\njKtLEkIIp5LOpRIU3/4P8gYN4cKuFAkWIUStIJ1LJcidPNXVJQghRKWSzkUIIYTDSbgIIYRwOAkX\nIYQQDifhIoQQwuEkXIQQQjichIsQQgiHk3ARQgjhcBIuQgghHE7CRQghhMNJuAghhHA4CRchhBAO\nJ+EihBDC4SRchBBCOJyEixBCCIeTcBFCCOFwEi5CCCEcTsJFCCGEw0m4CCGEcDgJFyGEEA4n4SKE\nEMLhJFyEEEI4XKWHy+bNm+nbty8hISFERERgNpsBSElJITg4mD59+rB161bb+tHR0YSEhBAWFkZG\nRgYAGRkZhIWFERwcTHR0tG3drVu30qdPH4KDg0lJSancHRNCCGFT6eHSrl071q5dS1xcHOfPn2f3\n7t1YLBamTp3K4sWLWbVqFTExMZhMJhITE0lPTycuLo7Q0FDmzp0LwOzZswkNDWX9+vWkp6eTlJSE\nyWRi7ty5rF69mkWLFvHmm29W9q4JIYT4W6WHS4sWLXB3d0dRFHJycmjQoAHHjx9Hp9PRpEkTdDod\nbdq0ITU1laSkJIKCggDo2rUriYmJACQnJ9uWBwUFkZiYSGpqKm3btkWr1dK0aVO0Wi3Hjh2r7N0T\nQgiBC8dc3n//fdq2bcs///lPMjMzqVevnu01b29vMjMzyczMxNvbGwCtVovRaATAaDTi6ekJgF6v\nt6179TaysrIqcY+EEEJc4u7MjW/atImVK1fanqtUKpYvX87atWvJyMggJiYGAIPBQHZ2tm297Oxs\nDAZDieU5OTno9XoAdDod+fn51K1b17auj49PqduoiK+v3hG76nRSp+NUhxpB6nQ0qbNyObVz6d27\nN5s2bbI9Nm7cyJ9//klKSgqzZ89GpVIB0Lx5c4xGI2fOnMFkMpGWlkb79u3x9/dn586dAMTHxxMY\nGAhAQEAAO3bsKLG8ffv2/Pbbb5hMJk6fPo3JZKJ58+bO3D0hhBBlUCmKolTmB77zzjvEx8fTqFEj\nAB599FFGjBhBSkoKM2fORFEURowYQY8ePQCYNWsWSUlJ6HQ6oqOjady4MRkZGURGRmIymfD39+e1\n114DrGeLffTRRwBERUXx4IMPVuauCSGE+Fulh4sQQoiaTy6iFEII4XASLkIIIRxOwkUIIYTDSbgA\nX375JW3btuWvv/5ydSml+uSTT+jbty/PPfccy5Ytc3U5ZSprap+q6PTp0zz77LMlphqqKlauXElw\ncDChoaH88ccfri6nXMXFxcycOZORI0e6upRSnTp1imHDhtG/f3+Cg4M5ePCgq0sq1Z9//kloaCih\noaEMGzasSl+jl5GRweOPP84HH3xQ7nq1Plx+/vlnvvnmGxo3buzqUsoUHBzMF198weeff86///1v\nLly44OqSSnX11D67du1ydUml2rNnD+Hh4Wg0GleXco1jx46xYcMGvvjiC6Kiopg2bZqrSyqTxWKh\nf//+nDhxwtWllMnX15dp06axdu1aBg4cWGX/OPPz82PFihV89tlntG7dmvXr17u6pFIVFBQQFRVF\nu3btKly3VoeLyWQiJiaGf/3rX7ZrbqoinU4HwIULF3B3d7fNTlDVXD21T8OGDV1dUqnuvfdeNm3a\nRMuWLV1dyjWSk5Pp1KkTarWa9u3bc/jw4SrbAarVatasWUNYWBhV9aRTjUbDbbfdBsDFixfx9fV1\ncUWlU6vVeHp6YrFYyMjIsF2qUdXMmTOHwYMHc/vtt1e4bq0Ol/nz5zNmzBjbL++q+h8EYNmyZTz9\n9NP07NmzyobLJVdO7VMVeXh4oFZXzX/6WVlZtimPwDq9UVU+RKLRaKr0/5tL9u3bx7p16xg9erSr\nSylTWloaTz75JH/88QddunRxdTnX+O2337h48SJdu3a162fu1OlfqpKrp6IByMvL4/fff2fJkiWc\nP3+eKVOmVHgc0dlKq/PDDz8kPDycwYMHM2rUKOLj43nkkUdcUt8l9k7t42plfT+r6l+wPj4+HD16\n1PbcZDLh4+PjuoJqgIMHDxIVFcWyZcuqbDcN0KZNG7Zt28a///1vpk6dyoIFC1xdUgk7d+7kyJEj\nDBo0iFOnTqFWq+nYsSPt27cv/Q2KUBRFUYKCgpTz58+7uoxSWSwW29cTJkxQNm7c6MJqypaUlKS8\n8MILSlFRkatLscvkyZOVL7/80tVllHD06FGlZ8+eitlsVvbt26cMHDjQ1SVVKCkpSRk+fLiryyhV\nUVGR8vTTTytpaWmuLqVcV/4f37VrlzJo0CAXVlOxhQsXKh988EG569SazqU6e+ONNzh8+DCKotCq\nVSueeeYZV5dUqu3bt9tu5AbW2yFU1bOIqio/Pz/69OlD37590Wg0vPPOO64uqUIqlarKjlkeOnSI\nU6dOMX36dADc3d1ZtWqVi6u61vbt2/n4449xc3NDrVbz+uuvu7qkmybTvwghhHC4qjmqKYQQolqT\ncBFCCOFwEi5CCCEcTsJFCCGEw0m4CCGEcDgJFyGEEA4n4SKEEMLhJFxEjfbOO++4fNbe1NRUIiIi\nrvt9//3vf/nkk0+cUNGNu3JfkpKSmDt3rosrElWVhIuo9kaNGoW/vz8dOnTgn//8J/7+/gQEBHDh\nwgV27NhBTk5OpdYTExPDTz/9ZHverl27G5pr7ejRo5w6darU19avX0+PHj24//776d69O+vWrbvh\nestT3r6cPn2aw4cPO+VzRfUn07+Iam/58uUAbNy4ke+++45Fixa5tJ6ff/7ZqTNCf/7556xYsYL5\n8+dz5513cujQIV555RVUKhX9+vVz6Gc5e19EzSWdi6gxFEUpdSrw8PBw/P39GTx4MBkZGQBkZ2cT\nERFBp06dePrpp9mzZw8A+fn5vPnmm3Tq1Inu3bvz1VdfAdZ76YSEhNCpUyc6duxIVlYW6enp9O/f\nn8DAQMLCwmzbBpg0aRL+/v6sXLmS5ORkevfuDVhvsBUTE0OXLl0IDAxk+/btGI1GHnvsMQICAggJ\nCamwG1i6dCkzZszgzjvvBKB169a89dZbththbdiwgZdeesm2/rPPPmvbv0v71rVrV9auXQvA+fPn\neeqpp+jSpQsPPPAAb7zxBhaLpcJ9udqnn35Kt27d6Ny5s+1w2cWLFxk6dCgPPfQQnTp1cvkhSlF5\nJFxEjbdo0SKSkpJo1qwZsbGxgPVwz913383u3buZNm2abaLA5cuXk5WVRXx8PMuXL2fGjBkcO3aM\n3Nxcjh07xu7du0lMTMTHx4eJEycyefJkfvzxR/z9/Vm4cKHtM6Ojo0lKSmLIkCElatmwYQPJycl8\n+eWX/Pjjj3Tt2hW9Xs/XX39NYmIijzzyiC0kSgvKCxcucPbsWTp06FBieYcOHcjIyCj13i9XTir5\n5ptvsnv3btasWcPMmTMpKCggPz+f8+fPk5CQQEJCAvv27WPHjh0V7suVUlNT2bJlC5s3b+abb74h\nISGBvXv3sn37dtRqNcnJyXz77bfccsstZW5D1CxyWEzUeO7u1n/mnTp1YsOGDQD88MMPGI1G271e\n8vLyKCwsJCEhgUmTJuHu7k6LFi3o0qULP/zwQ4mbN6nVajIyMjh8+LCtQyguLrZ1ElD2jecSEhJ4\n/vnn0ev1gPVmWydPnuStt97i0KFDANxxxx1l7ktF88x6eHiU+/r8+fP58ssvATCbzdfcMtvLy4v7\n77+fI0eO2P2ZYP1+Hjp0iO7duwNQVFTE0aNHuf/++1m8eDELFiwgNDS0St9OXDiWhIuoNerUqUNh\nYSFgPTy1aNEi7r///hLrXH1oTVGUUqeTLy4uxt3dnYSEhGvualneXS5LO3Q3b9482rRpQ2xsLN98\n8w1r1qwp8/0NGjSgQYMG7N27lwcffNC2fO/evTRp0gStVotGo6GgoOCa9/74449s27aN//znP+h0\nOh588MFSg6Nu3bq275O9d+y0WCz06NGDd99995rXtmzZwoYNG+jXrx9z5szhgQcesGubonqTw2Ki\nVgoMDOTDDz8kLy8PRVFsf8F37tyZNWvWUFRUxJ9//smuXbsIDAy85v1Nmzbllltu4YMPPsBisVBY\nWIjJZAKgYcOGti4kLy/vms9dt24dFy9etL1uNpvRarUAuLm52datU6cORqPxms8eO3ZsiU7n999/\nZ/r06YSHhwPQqlUrfv31V/76668S7ysqKkKj0VCnTh2AMu/BcmXglLcvGo2G7OxsAAICAti2bRvp\n6ekAts++ePEiGo2GsLAwunTpQmJiYqmfKWoeCRdRY9hz06pLr7/66qvo9Xoef/xxHn74Ydvg9ujR\no6lXrx5BQUG8+OKLvPHGG/j5+ZV476WvFy5cyA8//EBgYCDdunVj//79AAwbNozNmzcTGBjIBx98\nUKKufv36cf/999OzZ08CAgLYsGED4eHhfP311/j7+/P222/TvHlzAB599FH27t3Ld999V2If+vXr\nx6BBg3jxxRdp3749Y8eOZejQofTt2xewDvC/8MILPPvss3Tu3Jnc3Fy8vb3p1KkTd911F126dKFz\n584YDIZSg+bKr8vbl4CAAC5evMiaNWvo0KEDEydOZOzYsfj7+9vGZxISEggKCiIwMJA//vijzJMB\nRM0jNwsTohqbOXMmx48fZ/Lkydx2222uLkcIGwkXIaqx4uJi1qxZw9dff82TTz7J4MGDXV2SEICE\nixBCCCeQMRchhBAOJ+EihBDC4SRchBBCOJyEixBCCIeTcBFCCOFw/w+h3k2TQZo4CwAAAABJRU5E\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x78cd3d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pp = ProbPlot(loansData['Amount.Requested'].values, dist=\"norm\")\n",
"_ = pp.qqplot(line='r')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Assignment 3: Testing Loan Data"
]
},
{
"cell_type": "code",
"execution_count": 51,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"8 262\n",
"9 237\n",
"6 232\n",
"7 216\n",
"11 187\n",
"10 185\n",
"13 158\n",
"5 153\n",
"12 153\n",
"14 138\n",
"4 106\n",
"15 96\n",
"16 66\n",
"3 60\n",
"17 58\n",
"18 51\n",
"19 30\n",
"21 26\n",
"2 24\n",
"20 23\n",
"23 11\n",
"22 8\n",
"24 7\n",
"25 4\n",
"26 3\n",
"36 1\n",
"31 1\n",
"34 1\n",
"38 1\n",
"dtype: int64"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['Open.CREDIT.Lines'].value_counts()"
]
},
{
"cell_type": "code",
"execution_count": 52,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x6f2d2d0>"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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1755YqBFUZ6TFUp090e1LSWw2W2hk9tBDD/HJJ59QUFDAlStXmDlzJjabjfLycgoLC1m0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\nB8dRzJ7IiT7pAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x692d390>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(loansData['Open.CREDIT.Lines'].dropna(), kde=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The question posited here is: is the data evenly distributed? And the suggestion is to perform a $\\chi^2$ test.\n",
"\n",
"If the data was evenly distributed, we would expect to have the same frequency for each number of open credit line. Let's assume that this common frequency is the mean of the observed frequencies."
]
},
{
"cell_type": "code",
"execution_count": 53,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"86.137931034482762"
]
},
"execution_count": 53,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"counts = loansData['Open.CREDIT.Lines'].value_counts()\n",
"counts.mean()"
]
},
{
"cell_type": "code",
"execution_count": 54,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"8 86.137931\n",
"9 86.137931\n",
"6 86.137931\n",
"7 86.137931\n",
"11 86.137931\n",
"10 86.137931\n",
"13 86.137931\n",
"5 86.137931\n",
"12 86.137931\n",
"14 86.137931\n",
"4 86.137931\n",
"15 86.137931\n",
"16 86.137931\n",
"3 86.137931\n",
"17 86.137931\n",
"18 86.137931\n",
"19 86.137931\n",
"21 86.137931\n",
"2 86.137931\n",
"20 86.137931\n",
"23 86.137931\n",
"22 86.137931\n",
"24 86.137931\n",
"25 86.137931\n",
"26 86.137931\n",
"36 86.137931\n",
"31 86.137931\n",
"34 86.137931\n",
"38 86.137931\n",
"dtype: float64"
]
},
"execution_count": 54,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"uniform = counts.copy()\n",
"uniform.loc[:] = counts.mean()\n",
"uniform"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"And compare that expected distribution with the observed one, by performing a $\\chi^2$ test at the usual significance level of 0.5, with the null hypothesis:\n",
"\n",
"$H_0$: the observed distribution is uniform."
]
},
{
"cell_type": "code",
"execution_count": 55,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(2408.433146517214, 0.0)"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.chisquare(counts, uniform)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The p-value is 0 which is obviously smaller than 0.5 and we can safely reject the null hypothesis that the observed distribution is uniform."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Going back to the curriculum, the suggested code is:"
]
},
{
"cell_type": "code",
"execution_count": 56,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"(2408.433146517214, 0.0)"
]
},
"execution_count": 56,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"stats.chisquare(counts)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Which gives the same answer... because when no expected frequencies are given, by default, it is assumed that the expected frequencies are uniform and given by the mean of the observed frequencies. Cf. [`stats.chisquare`](http://docs.scipy.org/doc/scipy-0.15.1/reference/generated/scipy.stats.chisquare.html) documentation."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Lessons 3: Linear Regression and Correlation\n",
"\n",
"Our task is to determine the linear equation that fits the trend between FICO scores and interest rates\n",
"\n",
"### Assignment 2: Clean and Plot Data"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Removing the '%' symbols from the `Interest.Rate` column."
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 8.90%\n",
"99592 12.12%\n",
"80059 21.98%\n",
"15825 9.99%\n",
"33182 11.71%\n",
"Name: Interest.Rate, dtype: object"
]
},
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['Interest.Rate'].head()"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 8.90\n",
"99592 12.12\n",
"80059 21.98\n",
"15825 9.99\n",
"33182 11.71\n",
"Name: Interest.Rate, dtype: float64"
]
},
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['Interest.Rate'] = (\n",
" loansData['Interest.Rate']\n",
" .str\n",
" .replace('%', '')\n",
" .astype(float)\n",
")\n",
"\n",
"loansData['Interest.Rate'].head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Removing the word 'months' from the `Loan.Length` column."
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 36 months\n",
"99592 36 months\n",
"80059 60 months\n",
"15825 36 months\n",
"33182 36 months\n",
"Name: Loan.Length, dtype: object"
]
},
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['Loan.Length'].head()"
]
},
{
"cell_type": "code",
"execution_count": 60,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 36\n",
"99592 36\n",
"80059 60\n",
"15825 36\n",
"33182 36\n",
"Name: Loan.Length, dtype: int64"
]
},
"execution_count": 60,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['Loan.Length'] = (\n",
" loansData['Loan.Length']\n",
" .str\n",
" .replace(' months', '')\n",
" .astype(int)\n",
")\n",
"\n",
"loansData['Loan.Length'].head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Convert `FICO.Range` into a numerical value, and save it in a new column called `FICO.Score`. Since the ranges are small, we're going to go ahead and pick the first number to represent the range."
]
},
{
"cell_type": "code",
"execution_count": 61,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 735-739\n",
"99592 715-719\n",
"80059 690-694\n",
"15825 695-699\n",
"33182 695-699\n",
"Name: FICO.Range, dtype: object"
]
},
"execution_count": 61,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['FICO.Range'].head()"
]
},
{
"cell_type": "code",
"execution_count": 62,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"81174 735\n",
"99592 715\n",
"80059 690\n",
"15825 695\n",
"33182 695\n",
"Name: FICO.Score, dtype: int64"
]
},
"execution_count": 62,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData['FICO.Score'] = (\n",
" loansData['FICO.Range']\n",
" .str.split('-')\n",
" .str.get(0)\n",
" .astype(int))\n",
"\n",
"loansData['FICO.Score'].head()"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Amount.Requested</th>\n",
" <th>Amount.Funded.By.Investors</th>\n",
" <th>Interest.Rate</th>\n",
" <th>Loan.Length</th>\n",
" <th>Monthly.Income</th>\n",
" <th>Open.CREDIT.Lines</th>\n",
" <th>Revolving.CREDIT.Balance</th>\n",
" <th>Inquiries.in.the.Last.6.Months</th>\n",
" <th>FICO.Score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>2500.000000</td>\n",
" <td>2500.000000</td>\n",
" <td>2500.000000</td>\n",
" <td>2500.000000</td>\n",
" <td>2499.000000</td>\n",
" <td>2498.000000</td>\n",
" <td>2498.000000</td>\n",
" <td>2498.000000</td>\n",
" <td>2500.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>12406.500000</td>\n",
" <td>12001.573236</td>\n",
" <td>13.066996</td>\n",
" <td>41.260800</td>\n",
" <td>5688.931321</td>\n",
" <td>10.075661</td>\n",
" <td>15244.559648</td>\n",
" <td>0.906325</td>\n",
" <td>705.888000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>7801.544872</td>\n",
" <td>7745.320754</td>\n",
" <td>4.178230</td>\n",
" <td>9.930893</td>\n",
" <td>3963.118185</td>\n",
" <td>4.508644</td>\n",
" <td>18308.549795</td>\n",
" <td>1.231036</td>\n",
" <td>35.033161</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>1000.000000</td>\n",
" <td>-0.010000</td>\n",
" <td>5.420000</td>\n",
" <td>36.000000</td>\n",
" <td>588.500000</td>\n",
" <td>2.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>640.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>6000.000000</td>\n",
" <td>6000.000000</td>\n",
" <td>10.160000</td>\n",
" <td>36.000000</td>\n",
" <td>3500.000000</td>\n",
" <td>7.000000</td>\n",
" <td>5585.750000</td>\n",
" <td>0.000000</td>\n",
" <td>680.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>10000.000000</td>\n",
" <td>10000.000000</td>\n",
" <td>13.110000</td>\n",
" <td>36.000000</td>\n",
" <td>5000.000000</td>\n",
" <td>9.000000</td>\n",
" <td>10962.000000</td>\n",
" <td>0.000000</td>\n",
" <td>700.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>17000.000000</td>\n",
" <td>16000.000000</td>\n",
" <td>15.800000</td>\n",
" <td>36.000000</td>\n",
" <td>6800.000000</td>\n",
" <td>13.000000</td>\n",
" <td>18888.750000</td>\n",
" <td>1.000000</td>\n",
" <td>725.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>35000.000000</td>\n",
" <td>35000.000000</td>\n",
" <td>24.890000</td>\n",
" <td>60.000000</td>\n",
" <td>102750.000000</td>\n",
" <td>38.000000</td>\n",
" <td>270800.000000</td>\n",
" <td>9.000000</td>\n",
" <td>830.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Amount.Requested Amount.Funded.By.Investors Interest.Rate \\\n",
"count 2500.000000 2500.000000 2500.000000 \n",
"mean 12406.500000 12001.573236 13.066996 \n",
"std 7801.544872 7745.320754 4.178230 \n",
"min 1000.000000 -0.010000 5.420000 \n",
"25% 6000.000000 6000.000000 10.160000 \n",
"50% 10000.000000 10000.000000 13.110000 \n",
"75% 17000.000000 16000.000000 15.800000 \n",
"max 35000.000000 35000.000000 24.890000 \n",
"\n",
" Loan.Length Monthly.Income Open.CREDIT.Lines \\\n",
"count 2500.000000 2499.000000 2498.000000 \n",
"mean 41.260800 5688.931321 10.075661 \n",
"std 9.930893 3963.118185 4.508644 \n",
"min 36.000000 588.500000 2.000000 \n",
"25% 36.000000 3500.000000 7.000000 \n",
"50% 36.000000 5000.000000 9.000000 \n",
"75% 36.000000 6800.000000 13.000000 \n",
"max 60.000000 102750.000000 38.000000 \n",
"\n",
" Revolving.CREDIT.Balance Inquiries.in.the.Last.6.Months FICO.Score \n",
"count 2498.000000 2498.000000 2500.000000 \n",
"mean 15244.559648 0.906325 705.888000 \n",
"std 18308.549795 1.231036 35.033161 \n",
"min 0.000000 0.000000 640.000000 \n",
"25% 5585.750000 0.000000 680.000000 \n",
"50% 10962.000000 0.000000 700.000000 \n",
"75% 18888.750000 1.000000 725.000000 \n",
"max 270800.000000 9.000000 830.000000 "
]
},
"execution_count": 63,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData.describe()"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Amount.Requested</th>\n",
" <th>Amount.Funded.By.Investors</th>\n",
" <th>Interest.Rate</th>\n",
" <th>Loan.Length</th>\n",
" <th>Loan.Purpose</th>\n",
" <th>Debt.To.Income.Ratio</th>\n",
" <th>State</th>\n",
" <th>Home.Ownership</th>\n",
" <th>Monthly.Income</th>\n",
" <th>FICO.Range</th>\n",
" <th>Open.CREDIT.Lines</th>\n",
" <th>Revolving.CREDIT.Balance</th>\n",
" <th>Inquiries.in.the.Last.6.Months</th>\n",
" <th>Employment.Length</th>\n",
" <th>FICO.Score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>102441</th>\n",
" <td>7500</td>\n",
" <td>-0.01</td>\n",
" <td>12.29</td>\n",
" <td>36</td>\n",
" <td>educational</td>\n",
" <td>21.34%</td>\n",
" <td>CA</td>\n",
" <td>MORTGAGE</td>\n",
" <td>8750.00</td>\n",
" <td>685-689</td>\n",
" <td>14</td>\n",
" <td>20947</td>\n",
" <td>7</td>\n",
" <td>5 years</td>\n",
" <td>685</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102444</th>\n",
" <td>2200</td>\n",
" <td>-0.01</td>\n",
" <td>13.87</td>\n",
" <td>36</td>\n",
" <td>credit_card</td>\n",
" <td>10.35%</td>\n",
" <td>NJ</td>\n",
" <td>RENT</td>\n",
" <td>3333.33</td>\n",
" <td>640-644</td>\n",
" <td>10</td>\n",
" <td>11606</td>\n",
" <td>1</td>\n",
" <td>3 years</td>\n",
" <td>640</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Amount.Requested Amount.Funded.By.Investors Interest.Rate \\\n",
"102441 7500 -0.01 12.29 \n",
"102444 2200 -0.01 13.87 \n",
"\n",
" Loan.Length Loan.Purpose Debt.To.Income.Ratio State Home.Ownership \\\n",
"102441 36 educational 21.34% CA MORTGAGE \n",
"102444 36 credit_card 10.35% NJ RENT \n",
"\n",
" Monthly.Income FICO.Range Open.CREDIT.Lines \\\n",
"102441 8750.00 685-689 14 \n",
"102444 3333.33 640-644 10 \n",
"\n",
" Revolving.CREDIT.Balance Inquiries.in.the.Last.6.Months \\\n",
"102441 20947 7 \n",
"102444 11606 1 \n",
"\n",
" Employment.Length FICO.Score \n",
"102441 5 years 685 \n",
"102444 3 years 640 "
]
},
"execution_count": 64,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData[loansData['Amount.Funded.By.Investors'] < 0]"
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"loansData.loc[\n",
" loansData['Amount.Funded.By.Investors'] < 0, \n",
" 'Amount.Funded.By.Investors'] = 0.0"
]
},
{
"cell_type": "code",
"execution_count": 66,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Amount.Requested</th>\n",
" <th>Amount.Funded.By.Investors</th>\n",
" <th>Interest.Rate</th>\n",
" <th>Loan.Length</th>\n",
" <th>Loan.Purpose</th>\n",
" <th>Debt.To.Income.Ratio</th>\n",
" <th>State</th>\n",
" <th>Home.Ownership</th>\n",
" <th>Monthly.Income</th>\n",
" <th>FICO.Range</th>\n",
" <th>Open.CREDIT.Lines</th>\n",
" <th>Revolving.CREDIT.Balance</th>\n",
" <th>Inquiries.in.the.Last.6.Months</th>\n",
" <th>Employment.Length</th>\n",
" <th>FICO.Score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>102441</th>\n",
" <td>7500</td>\n",
" <td>0</td>\n",
" <td>12.29</td>\n",
" <td>36</td>\n",
" <td>educational</td>\n",
" <td>21.34%</td>\n",
" <td>CA</td>\n",
" <td>MORTGAGE</td>\n",
" <td>8750.00</td>\n",
" <td>685-689</td>\n",
" <td>14</td>\n",
" <td>20947</td>\n",
" <td>7</td>\n",
" <td>5 years</td>\n",
" <td>685</td>\n",
" </tr>\n",
" <tr>\n",
" <th>102444</th>\n",
" <td>2200</td>\n",
" <td>0</td>\n",
" <td>13.87</td>\n",
" <td>36</td>\n",
" <td>credit_card</td>\n",
" <td>10.35%</td>\n",
" <td>NJ</td>\n",
" <td>RENT</td>\n",
" <td>3333.33</td>\n",
" <td>640-644</td>\n",
" <td>10</td>\n",
" <td>11606</td>\n",
" <td>1</td>\n",
" <td>3 years</td>\n",
" <td>640</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Amount.Requested Amount.Funded.By.Investors Interest.Rate \\\n",
"102441 7500 0 12.29 \n",
"102444 2200 0 13.87 \n",
"\n",
" Loan.Length Loan.Purpose Debt.To.Income.Ratio State Home.Ownership \\\n",
"102441 36 educational 21.34% CA MORTGAGE \n",
"102444 36 credit_card 10.35% NJ RENT \n",
"\n",
" Monthly.Income FICO.Range Open.CREDIT.Lines \\\n",
"102441 8750.00 685-689 14 \n",
"102444 3333.33 640-644 10 \n",
"\n",
" Revolving.CREDIT.Balance Inquiries.in.the.Last.6.Months \\\n",
"102441 20947 7 \n",
"102444 11606 1 \n",
"\n",
" Employment.Length FICO.Score \n",
"102441 5 years 685 \n",
"102444 3 years 640 "
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loansData.loc[[102441, 102444]]"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Plot Histograms of FICO Score"
]
},
{
"cell_type": "code",
"execution_count": 67,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x7dff950>"
]
},
"execution_count": 67,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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rgagow6CGs55dXkPIPwLrWxnJ/PGT47zxt1Lmzk4k7Ap3drvYz2Eoyns1fPn/py/XDXy/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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7dffa10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.distplot(loansData['FICO.Score'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Generate a Scatter-plot of the Data"
]
},
{
"cell_type": "code",
"execution_count": 68,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<seaborn.axisgrid.PairGrid at 0x693d590>"
]
},
"execution_count": 68,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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FrrvqvpsabQGvV6/Xdry/XWA/eHOzvBM9iettQ/ilGzcctGRvtNV+7FI7ujXa8F7eaDLr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\n5fVPj/k9NeP+TrrPU/SW97NDo+Tjjz8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K2BTnaf3dR0qZmTGg2fxmi42cHy5wz3SnzZyV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4eNMGUGTVYGTFYa2w2cONfBsbPtnCzvwGK1ExupJTM+hOefWsiffriEuAiP3ftVhsFk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wgJFuRsTKAPTaYeZDKorDW5XWZEjxH08w9WpdDRK8iPv1pJp9lCh9nCmEAfLrR0UXupmzGB\nPrR19QKCjFU3d7nRmG/OLRMvWR5alEiv1Uav1ZMCYH56JDMmj2HjrlKRwvy5lSkcKBCYA2YmCXvW\nRhfmIdfzV19vJXWtl/vkiv5z4HovU25lSsER782LL77IunXrhnzHy8sLvV4PQFtbGzqdjubmZkwm\nE6dOnSIpKQmFQkFVVRUajYaICEERJyYmcurUKQ4fPkxWVhYA8+bN45e//CUAhw8f5uc//zkAWVlZ\nHDx4ULqIuQVxsrSZpg4z63YIXpHO29dei405qeMwjPGkKBsI10MtplLKSXMJw5MgQcKdhf6L8cmy\nZgqrWkVPwofuSWTepAiPcumGUJ5eMZljhfWcLm9C66uio9PCnz87Awj6zJmzZfXCBD7cLkSQLszU\nE6HzY+HUKP606TRzUsfxdV4NX+fVsGpBPJE6LX/ZInhmPXCXkfpmIRebSilnfnoku49Vc+RsPQsy\n9ERFaFk+P45Pvy4HPI2SsCDPDUJVnYnZqeNYv6uExbPGU9PYQXltGz0WG7uOCmOO0wfy1fFqtu0/\nDwjek5FhGuYkR0hRhDcRCkAfEcQv/nIUgDU5Rob27ZNwIyEfYP8/0DMJLpBBSIAvhwrq8PVWsmhG\nDJv6IgJWLzRg6urFanOw40gVm/aUsSBDz96TNazJMbJuRzEWq91Dz3SYrZytbOXtPl0r6SEJowW7\nw0Hh+RYWzYjh1x8eBwQ9vXVvOV1mKw/cbaSn18amPWWkTwjzKF9Rc4mSqkusc/FC/fLgeZbMiaW2\nuYODp+rInBhGsL8PXx2uAiBBHwTA7hMX+aivnDM5r8Vq5y9bC1h7l5GPtl+us+h8C9OTx/BGX2Tt\nQ4smMG/y0Jf60lp/+6K6tp3sqdGiTK7ONnBM2YCt1ya+s/v4BfRhWjbsFvTxiqx4ls6Npa29h1//\nQyj37IrJtHVb+OALgbHi4cWJzE2+bA9fy8FWf7m62+VyR4IEV3grFNS3mXlzQz4g6Na4sYOfDVmt\ndprbzGLkV6BGjXWAw2NX9FhsAz4bSp53n7zollNmQerYYcdyNZB0752NDrOVkguXAPBSyam71M3/\nuMyBrXvLSYoN4ejZejdn8ozEcEqqWlk0Y7xoU6zJMfK7PllakWVwe75pT6n4vHQAWtTUhDDkchnd\nvVb+/Q8HUCnlrMkxsn6nUMfqbCNvrj8p1vHCH4V3Vi0wcLxvDiZEBfHWH06LtnyCPlCcc77eSr4z\nazyb9pSxObfczS650lwwV4tb7QLGiRHfSr7//vtX/O6JEydYt24dzzzzDOHh4UyfPp133nmHZcuW\n0d7eTmtrKwEBAeL7/v7+tLa20trair+/oJD9/PwwmQQeOJPJhI+PcACl1WppbfUULgmji5MVzXj7\nKMUkbDa7g825ZSyeGcPD9yRe8SVMXmkTP3pzL0++spO80qu7SNF6K1mTncCJ4gZOFDewemHCLTtB\nJUiQcONhMls5eLaO3ceqRb304ZeFojegK5pMPbzz2Rm0vl4cOl1Hbl4Nf/7sjJs+S44LJT0xjM4e\nC/fNi0PtpWD3sWoiAv1Yt6OE5LhQt7Y27imjoqZN/PvjHcWkGSNYkKEnLUHn9u6e49WcLmviQkMH\na+8yMj15DNFjtKIHSV5pEy++fYgFGUIov1IhY/4UPSdLGsk9Xs2kuFCq603Y7Q4aL3WLHmE2u4OP\nvyqmrrnLra2CimZqL3VfpkLr442V6M1uHJo6elnX56FksztYv7OYpo7e0e7WHYteC27zKWuKnl7L\naPfq1kaPxc4HXxZysqSRhxcnsqkvoshmd/DJ7lK81Uqa281uuiY5LpQPvywkxRDqoWfySpt4/6ti\n3nbRtZIekjAacHp15kyLdpPr9TuLyZkWjc3uwNxjFT87WdLopj+Wz48nMkzjpuM355aRMy2a9TtL\nyJwQgcVqxxgdInqq2uwOPt5ZTFVTFx+5PNtzvJoUw2UW9u4eK3K5zK1ON7tme9GAdk3/sUlz7PaD\nyWylw2pzk5lPdpXy+NIkN1vQYXe4ye3m3DK6zVbCQ/3EZ4fO1vHBF4Xi3x984WkPXw1tzkBy1Sjl\naJUwCK7WBjZbHB77JLNlaLIks8XmYdeZB7iccaL2UjcbdpeSZgwjzRjGxj2lYnTMUDCZrVck65Lu\nldBjtWGzO8graqDXYmfdzhIP+2KsTuNRbqxOI162uL6fHBdKclzokM9PljSS1W8eFJ5vxmpzsGFX\nqWDP9Nr4fF85j96bxLP3p7B1bznmXptb3clxoXz0lYu9skNoxynL739VzItvH+KhRRNYPDPGbQ1y\n2iXDzYGrWXP6w2S23pLz6bpOnxcsWMDs2bOZPXs2s2bNws/PDy8vrysqe/bsWV544QXeeustQkOF\n267HHnsMgBdeeIHt27eTmZlJe3u7WKa9vZ2goCCCgoLE552dnWi1gleFRqPBbDbj7e1Ne3s7wcHB\nw/ZDd50eGXd6+aup43hhLf5+A8vHxNhgMhOvjHqlsbXLg1rszy9kowu6MiqzxtYuPviySCz/4fYi\n5qVHXnH5Wwk38/eTyn87y482bnT/B6vfaRjrgnyhtQuF3DOOXa1WepQ39dqYFH/5ImWAYngp5cRE\n+FNR08a4MA3fu3cin31djpdqeN8HlVJOWoIOpQIOnall0fQY0cPE+XlUhJZArTebc0vJmqJnfZ9n\n4/y0caJuzM27wLJ5cVTWmThw6iIpBh1yGUwYH8xH24tJMegYF6bh6Nn6K+qTM4pQIQe5XAZyGTqd\n1u17HOjfcPvL6FC4UWMbKGrzetq6Ef0c6Tpv1T5WNXWx92QNqQmCZ/u+/BpmTR77rZHrGzGOMaGX\nN4t2m8MjWbQMGTFj/NGHa6lp7OBUaaP4/rgwLRQIekmrUYs2X5rRM7JAq1Ffs+12q8rbjazvRtU5\nmrjpNsRVHiBbrHb25dfw6L1JnC5r5EKDCUNkgMd7SoWMZfPi8FIpuH9BPBHBPmRODMcB2GwOSqpa\nAEifEMbJkkYxUa5chniA8s9955iXHsnXeRdwOAY+iHTaNW42kMvY+q89VzLHRsuO+7ZgRMbX2oVa\n6Rk76+Ol5HtLkmjr6OFCfQfjwrTklza5RcmEBPgQrFXzxH3JnD0nJGvuj4bWbhJjr8xD30O2Bpgz\npq5ekcpvJCHp4JuPkR5PVZOnHhqqneqWLgI0XqzIMgCwObcUmXzoflW3dHHoTC1L58YBsPNIJbNT\nB7fr6tq6mZ8eKdKfzUuLRCYbug3XPJ//uiaNBRn6wQc9wBy5GvtG0sHXh9EYn2ubFTWX6O61sfdk\nDTa7Y0AdrA/X0G228Z2ZMdS1CPISEexLaIAPgRovfL2VGKOFs+8rZfuxWO18nXeBdGMY89MjeXfr\nGeal66mqM13e9ytkBPh5ifmUFmToyc27MGzdqQk6oiK0HMivIcWgQx+uZfuh8zyzMoXNueXuL8sE\nee+Pa7XxXb/bq5qHNxnXdRHz9ttvc/ToUb744gt+/vOfM3XqVO677z7mzp07ZJJBq9XK888/zxtv\nvEFMTIz4TKlU4nA4xMuV6OhoTCYTtbW1aLVaCgsLSUlJQSaT8e677/Lggw+Sm5vLzJkCB/+MGTPY\nvXs3ixcvJjc3lyeffHLYMTQ2mq55/Dqd9o4ufzV17DxxUQyLW5tj5F/unsBHXwmUPauzjYT5yq+4\nLwPdaJo6esA6uCfDSJZ3xWgvTDfr95PKf3vLjzauV4aHwmDfT//QVy+FnPHjAtCHa8UE6WuyjWi9\nFB7lZXYHMyeNIa+oAZVSTqDW2y2p5Ir58cgVMpoudXP0bD1H++jE7p4RQ35pPWtyEticW+ZWZmVW\nPMhknClvYnbKOHYfq+Z4UQNrchKoa+pgZVY8m3LLUCnl3Ds79jLFT7aBS6YeMRw/MkyDSinH1mvD\nYrXz1eFK1mQbiQzTsOUbgS4tKsKfzKRwbDYHQVq1R1J4H28lJ4qF+rKmCNRkoRo1a7IT+OBLQWcv\nyNDzk9/tE/PNCN+X8LlKKXd791/XpDEpeuQ3206MtgyPtPzqdFo0vgJdiJO+c01OAhrfa29rJNb6\nG13nrdzHUF8h/N41LD/0On4PV4y2/MKNkeGKmlYeXjyRuqYOKi62uSWLDg7wRqGQse6rEvHZ0rlx\nfHHgHFlT9NQ2deCjVvDsyhRMHT3i5iy/VPDcy+3Tm08vmwRW2zX1/1aWtxtV342sczQxGjbEM8sn\n8fcvC93Wz9XZCXy+rwKlQka32er22ZLZsRRXtmCICmLDrlIqLrSxJieB9X3r5+rsBGQyGR9/VYxK\neY4VWfH8f+8dA4T5cehMLUvmxPLyXw6Lz/bl17B0TizjdBr0EVq+OHAec6+N3L5EugZ9EF8eOufW\nj7V9ds32A+f44+bTqJRyvr8qBX2YRvQ0dV2/H1o0Ydg5diNk6mbXP9oYifEVVl+iuLLVzbZcm5NA\ndUMHn31TzpzUcRwuEHIPrM428OnX5Visdu5faKCqrp13PhMo8BZk6AkL9iFSp2FzH/3t/Cl6fr8x\nn7AgH9QqxZBeyYNRy7hy/GdNEWzIJ5YkDUq/dC25MiQdPDoY6fEEDmADBw5hcwV6y1g0Y7x4ULwm\nx0igt2zIfgV4K1gyJ9atjQBvzz2fE2qFpyOdWjH42ZXJbBXzfAL8dv0JYsI1Q8pz/zwYV2rfSDr4\n+nEjxzcQXL/Tr0/XiTSQzkuO/NJGN12+OtvInzZdpho7fuA8KqWc+CwD724R6HrX5CSwaU8ZFqud\nNTlGqurbsNkc4hkCCPv8z/f10adnG/hkVykOh4MAjZo3159k+fw4LjZ1UFLVIs7B9AlhbvmU9vTZ\nGKfLm0TKsoKKJ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89WgrVq/u+TM6hq6OB3G4QzjOHOca92TdAF+YrvpyXo2HHkcuTwieKG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54kapFEa1aZx2x0i+EpcA1Ah/2d4ZPiZjte5+EyekkzgaOUDW6Uex2hwoFQIRISNzvzyM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Ve/M9VXYWFhuHz5svR3a2srwsLCXB6jVqv69ZnTJsairqld+ru+2b6BeOrYKGzLLbd7rbzqJn7y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\n5enZMNWQltXmwOFwcuJKC7l6raBjC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/6l0dPGHR5LGpnrerWo7p4XQ6NWVMqpLMAzwxd+fJm/bWs+W22HPk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4upZVaaEE+Xo6te/oxUYe3ZCAh0p5Xf6W1/eRFOVHfLgvF8vaiQv1Id2on/I+GOnuG+H1I2Lq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\nWABJKF2tFDfaHk4JI9BH43Cu/fu38fdUaRtZBlHX6PdfldM7MgnAq5sz5rz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2yr64Z0anEftGWYNePmvu7lV3+/ULsOnpLTKeohxLxA5jbK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