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507 lines
353 KiB
507 lines
353 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"___\n",
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"\n",
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"<a href='http://www.pieriandata.com'><img src='../Pierian_Data_Logo.png'/></a>\n",
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"___\n",
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"<center><em>Copyright by Pierian Data Inc.</em></center>\n",
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"<center><em>For more information, visit us at <a href='http://www.pieriandata.com'>www.pieriandata.com</a></em></center>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Categorical Plots - Statistical Estimation within Categories\n",
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"\n",
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"Often we have **categorical** data, meaning the data is in distinct groupings, such as Countries or Companies. There is no country value \"between\" USA and France and there is no company value \"between\" Google and Apple, unlike continuous data where we know values can exist between data points, such as age or price.\n",
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"\n",
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"To begin with categorical plots, we'll focus on statistical estimation within categories. Basically this means we will visually report back some statistic (such as mean or count) in a plot. We already know how to get this data with pandas, but often its easier to understand the data if we plot this."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Imports"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## The Data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv(\"dm_office_sales.csv\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"scrolled": true
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},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>division</th>\n",
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" <th>level of education</th>\n",
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" <th>training level</th>\n",
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" <th>work experience</th>\n",
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" <th>salary</th>\n",
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" <th>sales</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>printers</td>\n",
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" <td>some college</td>\n",
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" <td>2</td>\n",
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" <td>6</td>\n",
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" <td>91684</td>\n",
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" <td>372302</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>printers</td>\n",
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" <td>associate's degree</td>\n",
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" <td>2</td>\n",
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" <td>10</td>\n",
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" <td>119679</td>\n",
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" <td>495660</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>peripherals</td>\n",
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" <td>high school</td>\n",
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" <td>0</td>\n",
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" <td>9</td>\n",
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" <td>82045</td>\n",
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" <td>320453</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>office supplies</td>\n",
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" <td>associate's degree</td>\n",
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" <td>2</td>\n",
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" <td>5</td>\n",
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" <td>92949</td>\n",
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" <td>377148</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>office supplies</td>\n",
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" <td>high school</td>\n",
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" <td>1</td>\n",
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" <td>5</td>\n",
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" <td>71280</td>\n",
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" <td>312802</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" division level of education training level work experience \\\n",
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"0 printers some college 2 6 \n",
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"1 printers associate's degree 2 10 \n",
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"2 peripherals high school 0 9 \n",
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"3 office supplies associate's degree 2 5 \n",
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"4 office supplies high school 1 5 \n",
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"\n",
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" salary sales \n",
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"0 91684 372302 \n",
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"1 119679 495660 \n",
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"2 82045 320453 \n",
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"3 92949 377148 \n",
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"4 71280 312802 "
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.head()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Countplot()\n",
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"\n",
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"A simple plot, it merely shows the total count of rows per category. "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<AxesSubplot:xlabel='division', ylabel='count'>"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,4),dpi=200)\n",
|
|
"sns.countplot(x='division',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='count'>"
|
|
]
|
|
},
|
|
"execution_count": 5,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,4),dpi=200)\n",
|
|
"sns.countplot(x='level of education',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Breakdown within another category with 'hue'"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='count'>"
|
|
]
|
|
},
|
|
"execution_count": 6,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,4),dpi=200)\n",
|
|
"sns.countplot(x='level of education',data=df,hue='training level')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"**NOTE: You can always edit the palette to your liking to any matplotlib [colormap](https://matplotlib.org/3.1.1/gallery/color/colormap_reference.html)**"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='count'>"
|
|
]
|
|
},
|
|
"execution_count": 7,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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Ruog3lULjTo9l0O9pnUCU3k2Wwo140gn4Sm66ny0Zb7QaEJySBmDmvPvzFMBqlsGqhf+GcnGHSuKsUVVGpfHL0zrBvqoizKRsGg3W47m5dbRuRZh8ef75DraRJWhV0GsbncrWVYP0F6NVbk4HNi4Jsxlz3v02pSTMJrl8Tipbn8RF6eyE4mngJYXx++amcSElTxkQN2/ky77hkjCTc+OfBrYY5Lob5PrXMHoDc15oea6irFmR1lPNt1ekM6VmvxlP6yLqH4AlS8LsX9jmJw0qrw2WSS/HjWNyebwIWLwi7hgKF5MZ+VTxx0viGXHDkhMXGlcpCZPvKeCdJeMXB36TC7NnSZgb0rgXgN1Kxr+E1pOtLwKbdrJNaJh/hsJ+58BBJWGWpdXY+SIl5zXA+lTUgdL4zWk1OI2oc6UwN+em8ZaatFYqljPMecycXrHNbkDcKOgM8DyR+nOwvXJxf0X5Ret8+ueXjB8urLMR5UDDdb9eLo3KRqdULr2ki/RfSut8eColT38S5wDP5/JRtsxe225eiXrmr3PTWqQw/v25NE6qSOPkwnIdKgkzJTf+IWDtmvnv+Ry2H2loaLStTsqt15nAK0vC5PfdR4mbA9cvCZe/YXu/kvFLA6vV5MWIGxKdqHMvXxjf035Lw2M3/SsP8/vUr6ioNzVYR13X3Rqmn69btTsOOiXn1v1YZsT1zOw49bey/Z5o6JmVS2NySZjhwrKvPE7Qn2t/PaexMA2jngENGualgbjzOyusluswbr4V/8CacB/PhXtzYdy43LgHqLjDh7iLPgt3bc20zk5hnigZlz299B9KTvQLYa9PYc/tYpmekMvrvh3GPSAX9yM14d6WC3dcyfipNQep/DIfLowzWl13tLt4vGcunQ1z/y9OPJHgwA018VfNHXSdkXc97pAbt3mbvGR3HV7T731EQ+8D0fVEti4nFMb1UgZldy19rcN4+W30T5Q8BZXCLUfr8fs/F8atQOtk+6aqNGryMJSb76Eul+u+uTRWKhk/KRvfJp1xxMVJp6ZhMIX9Ugr3UAf5XD2XzxF3sPZh+3pzLv0P1YTLH7OmlIz/bhp3I/UX11ag1b3qEYVxl6f/n6XiOJPK2ZtzeRkuCTM5N/4Tg1x3g17/GkZvYM4LLV+tCfeFFGY25U/STanZb07LTWPEheBcuHx3VZMGldcGy6Tb48YYWk9a/IMOu3hmzjL/pqoyhnjKuLS8TGVptq9eXjOtcbQu9F5aGLdNLv3TatLYLhfu1E62CQ3zz1DY7y6pCZffbmq7v6tJ46QU/46Scbvl0j+pi7Qn5+K/ryZc1rXQ4yXj+nKeSP05WPYk9XOU3MyZC/fLFO55ChewmfNi4697WPevzqXzigFsW/knz99UEy7/pG3ZMssamy5oM72Nc+kUL/Rmvan8g+qbCZZkzl4+hkrCTMmNP6QmLz2fw/YjDQ2Nt9V8OfjFmnBTc+HeU7MdZdc3Oqpn5NJYkdax/k2FcT3ttzRvlOpXeZjl9UUqXtXQMN9d1d0apv2y3PJuehz0QSwz4snLbBp71cTP3xg7uWT8cG585XGC/lz76zmNhW1o9MJykYXIw7nvh3UYN3vh33TiYkOV75TEKXORuz9fMe723Pfza9LIwr3ERr5kep/0+Tt3f6wmDYi7MSC6fupU9oLpe4lHVzuRLR8nunCo8mPirv98nH7YhLjbEaK7rTq/z33PL6eJxEVbiCdNSrn7v4g7gqtk6+sud7+jYV62Nr3sdVSlF2mubWabmNlmZrYZUVnJbFGI0ksZlMXd2xq+QDuZQGsbnezuL5YFcveniP6rATYxs9Vyo3chnuIE+GZVGv1iZkunF5Vumluu+fKyuFw7sRfx9OKzRKNKnWxfW93M1m6Y/uPEBRiAQwawj+bLzbNrwp2VwlTZO31e6KnmXMbdpwNZmfTfsi/N107p5y+qjjMp7XNq8lF0bs24fqy7Qa9/mTfUbUc3p08juqXpRLb/3eruf64J9/0O0hxUXqH748aWxDtJAM509xldTDvzw5oy5ubc9/UK44aIfRWiEb2Uu08lLmoDDJnZ2NzofJ2xLo1riAu5xTiy4DqraoS730A8PQcNtgcze4mZrV+os0xPozcxs0ULUV6f+/715lkemVXinW9Vsv1rxbl9nlioI1zp7v+oCX5m+lyE2O+r1JWV7eTr38M9pFMl206eBH5aE67yfNfMlqM1/7Xnpe5+J3EjGcxZN1sD+J/088fuPqsi/n+I8+smnmsTth/nsDoPHh0/qhn3x/TpVFyPStvR39LP4jF8BDNb1MzWNLONc2Xl6sS5E9SfNw+3S78H/S4Pr0l1k251W3drYmdadaumx8Ey/VhmWbk5jfpzsn7Vqftx7a8faSxUVEiLzOlqovFkPeDrZvY2oo/73wM3uvtzNXE3S5+31DQm4e7/MrOpxJ2bm1WFI+6AqDK9i3DLFn5PTJ+7m1ndhcm8lzUMB0TFgtY8Xl13YbNCFve+uoOZuz9nZrcSFfW6Zdqpibnv15pZZcCC/HLK5+fmYsCCm4inPery8vIO1teixN1FjzYML31gZksT3Rq9BdiUVsWuTLEi2UsZdDbRH/UGwN/N7CLiQtxV7v5gTbz8Nnp9Tbhs/JG5eFmleHwuzFVt0uhKqnQfS7yTYUPmbNwr6qWCnu1rSwEvdLjfP9AukLvPMrPziTvI9idOmv+PuFvvD6mRpxebp8/73H1aVSB3fywdi0ZcyDazdYguaQG+YGZfaDjtfNm3PnGHJDQr+5qY4e731ozvx7ob6PqXecZfa8Y9kfu+bNMEzWwJovyF/m3zMIC85nR73Ohnmd/t/HV67NqT2K/Xo3WRLEvjOaIrmnZpbAxsaGaLtTkey/zvxjbjbyDqeBuVbQ9mtjnwQWK7qzt/GkN045Ovq2f71wPufn9HuZ7TNHd/vGZ8cf+anvs96PPE9WjdzNRk/83Unef9sWZcLXe/z8yuIp7I+aCZ7U50OzwFuM7dn+027SSrm93q7i/UhLuNKI8WKxk3Hv57U/l5ZnZew2n3cl7axN/cfWbN+H6cw+o8eHQ0uc40zd2fbBCutI6Srhe9izgvGk/5tp+Z4/xuLuy3mX6Xh12XVUm3dbcmNs99b3ocLNOPZZaVV7e5++yaeHdQXW4W1S37flz760caCxU9KSWSkxqT9qZ1N+TWRPdzVwPTzewXZvbWwl2WmRXTZ5OKzyOFOGXqDqL5QrlpuGKeX1oTr8qS7YPMYUVaF44frgtYEx/6t0w71c0ygtZJFsSJZqbdXSJ14/uRFxkwMxtHVIxOAF5BfYMUFPapXsogd/9eCvsC8Y6lw4g7ZP9hZn83s6+aWdldavl9pt2+9kjuez5e/iShm329lplNIC5cHg9sRH2DFHReVuXNjX3taOCS9H0doluXS4HHzexGMzvOzJbvMh+dlJv/qvh/Xir78qa3Gd+PfKusXQi0uVBRV3eqs0Lue7+2+UHlNUu72+NGP8v8yvkrXIQozl8/jl3Z9yfaXCjOp2HMWb7JgqndNpUdP0dsD2b2TuK9N4fR7EJTsc6S7V8D27eS0TxP7Mf+W1R3YbyJg4Br0/dNgE8Q3eVNN7Pfm9l70s0H3WhUN0vl0BMVo+fVulm75a662XyqYf2jaTkzoo5iZisS+9wpwCtp36hQVsYMcr/N9Ls87Kms6qHu1kQnZXPVeST0Z5ll5VVtWZR6aKkqN4vqlr3KqlGgJ6VECtz9L+nutr3TkN2FsCTRt/3uwLFm9jp3LyuoO30aaLRkFYPLiXeLzMtGa5nmK097E30nNzGIO7KyvNwOHNxBvIcGkBepdg7x5IkTj7z/iGhgegx4zt3dzMYQfUlDSeNKL2WQu3/czL5NvGftNcCriErO+sRTRu8zs2Pc/fSK/M9z5ZeZLUZ0G7gS0UXfyUTXJ3cDT2Zdj6TK9z1ZtB4mme1r04guDJq6r2nA1BXiPma2DfHuvCGiO6yxxB1WE4EPm9kb3P3aqnTaTabLeDBn2fcZmnfh8kwP02yiXbeQ/Vh3A1//IvOSPhw35gW9HrvmuWOfjLqutgkz+x/gdOI6y6PAV4DfEOcQT2e9aZjZO2h1GdlLnWVQ5uZ5Yr/2v566jnb3h4BXm9lrgDcS3QtuQjxxs0MaPpzq33VPkNROpocs5utm7wb+0DBer4117TStm/VyDqvz4AXTN4hu5AEuJrqv/CNRds7MetkxsweAtSg/b54b+22/y8Oeu7mfS3W3fpRX89q1xrpl349rf/PS9cP5ghqlREqk1vaL00B6d8oewFHEgXMCcAawXy7aE8BqwKoNJpHdNde0RX8QHif66F3M3f80oGk8QdwdM4ZYNt3Eh9FbpvkuL6Z3uZzyJwKrUP8Y/Co147K8LDPA9SU9SBcitk8/T3D3/60I2vZpvi7LoCzu/cTdUyekLhG2Jho+3g0sAXzLzK5391tTlPw+syr122j+jt98vHw3cavR3wv0u9Dqh/y97v6dinD9ekoy29eWBe4c5PuxUn/cNwCY2bJE49QwcVL1UuBCM1s/9cneVFbmNCk3q8Lky77n+1T21Wk3vql+rLu5tv5lgTM9931ubfN90cVxo1jm13XBNyjFY1fdO2mqjl3Z95XMbJE2T0tlaTiDv8gro6/dNpUdP4vbwzBxjeVFYCd3r9o36uos2f7VzblTvwz6PLG4/9ap2n8Hwt1/TTxpgZmtRLzX5F1EfXR94v054ysTKPckMR+185regVS1beTrZs/Oh3WzXs5hdR68gEnvSDsw/TzX3esaG9s+nTyg/TYzN66bdayLulsT+TKi6XGwTD+WWVZu1pZFqQeZfjzB3o9rf/1IY6Gi7vtEGnD3h939LOIFdLekv19vZvlHTLMCZ6u6l2qa2UuJ7prycUZDdnCamJ5E6Lt0N2A2jztYB52qJlncdc2s8mCUDsJZJaOfyzR/AN+uyzTyL4CcUBkqTKwZl+VlPTNbaPucncfl+1QufeFrUreeSzUsg8riPe/uf3D3DwBvTX8b8S6jTH6feWWbrGxTEe+W3Pcd26TRqX4t16Z3e2X72uIN0uwbd3/a3S9x9zcB30x/r0arobOp7AXQ66aTslKpTB1XMfpe4N/pe7dl3z1A9o6BXsq+TvRj3Y3K+pf5X3qnRva05tza5vuu4XFjkGV+U90cu54lyrdiGosRT6s2SeNvep/UQmHrhuOL20NWZ7m9pkEK6suAbP9aO73jcTQM+jzxXlrdfnVb9xw4d3/c3c9399cAP0t/b2lmG3aYVFY327LuOgGwBdVdmN1Gqy472uelnejHOazOgxc8GxJPM0HN+V266XOZThLuYL/t9NxwYNfNetWw7tbEHbnvTY+DZfqxzLLyasvU00yVzYnztl7149pfP9JYqKhRSqQDqZHld+nnIsz5/oBfpc8ViLvcq7yT1qPHv6oJN2jZATrrh3ZQsvemrAvs22HcbPkY9Xncn5iPfJx+uAXIXhb5ri77I76J1sXdyjuAzGxVolu2Ktn6MuD9XeRDBi9/krl0Tbj3dDuBNmVQO7/Ofc+/D+RmWnf4H1pV6UtP8hyQfv7F3fPvOvgtra7b3lfx3r1utV2uKc9HtEnnvy9hNrO6iusltE5SPtAgf4NQta6ayJebb68JN0xFl0Hp6aDL0s/dzGzjDvOQvRfh9+nnHlU3FqSbFQ7pNP0K/Vh388L6l/lXtu+ON7Oqlz9D/b45L6kqi26ndffs4WbW0QWjPplCqxuWd1QFMrO1gddmcQpPP+brjHVpbEt0B1SMIwuuQ6tGmNnWtF7AXtwesjpLZT0wPf2+T820L8l9/2BNuEEa6HliqiNk9dnXmtmaNcEPT58vEPv9aOlH3WxFokunKpXlkLs/BlyXfr617obNmjQepNUjwpur6sPpnPfNnaZfoR/nsDoPXvAM/Lw5qdtvs3PDdg0ac+u6Wb/0Ulb9llbdqulxsEw/llk2HysDe9aE61eduh/X/vqRxkJFjVIiOWa2g5ltUDN+MaKfWoAZzPnSvbNo3fH1VTNboyT+FsDH0s+HSF1zjZKzaV1QONHMau90NbPtzWynujAVTqF1sfoMM6s8eJWckFwM/DN9/3h6z04xzlrAienns8R66Iv0gu0T0s/1gO/XXcw2s+XM7OhCGjOB76efW5vZiIp0uqB+BvGYdVVeriR18wUcZ2YHVIVNaW5uZnUnPdJ/f8t9Hy4LYGZHUtM420sZZGYHt7n7crfc9/92r5feyZR1ibcZ8YLY4nSN2Jeziu0p+fHuPp3YhiHuvPx61ZORZrZoemK0qbbLFfgCsFWbdPKNaOtXBXL3u2i9Q+ktZnZsXaJmtq6ZHdRm2vnw6zUoS0vXVUMX05rXT5jZy0vysAnw8TbpfIE4KRkDXFB3wcjMxprZ20rCZNvEksDpFQ2ex9J+3TXSj3U36PUvC7xv02rUPLPsaVYzexMlXa+Ohh6OG7OJd+UArEnUj0rvhDWzMWa2es+ZLXD3fwI/ST/3NLMRF09Snr5H627s4rHrBuLmIYAjLN5JUUxjeVpl2WzgtN5zL/OBfcrq2qkBNr89nFEIktVZNjSzV5fEX4p4IX3lk+7u/ivihiGIG33eUhXWzFZq99R8l+bGeeKp6XMx4Lup54tiuu+gVQ5dVLghqm/MbEsz27JmvBHdgUGU8VM7nMTZQNYV89fSzYjFaexEdDdW53PpczmibrZCVUAzW9zMjiq5KJpts2sCX6yI/hWi662e9eMcVufBC6S/06ovHVp23pjW4dHF/3Pje91vs/Jkvarz1mRuXTdrpNu6WxOpjP1p+tnkOFilH8vsbGBW+v51MxvRwJZuGjqqTV4a6dO1v57TWOi4uwYNGtIATCIuwk0BjiOeXNmKePTyMOB64oDmwNdL4r83N/4R4i7rbYBXA58Enk7jZgOvK4k/Lhd/uCafQ7lwQzXhhnPhxpWMfxVxh4gTd5/9gHjqaALxOO4+wKeJF046cHSXy/WQXD6eJV5quQfRVcr2xB0wlwH3lMTdKy0vB54iLpi/mujq4YPAv3JpH1kx/alp/OROlzlxR9ZFuTB/T9vGTin/OxInED8kGgmmlaSxIlHpydL4fm7bOgC4Jv2f377WKUlnfaKf2izMz4iXW26T1tmeRKPntWn8iaO9Ty1MQ9pW7sitn/OB16d1sy9xoduBq3NhJhXSmESXZRCtcudbxFN52xLdWu4BfDXte06UQ2sV4i5LdDuVpX1B2ve2At5E3DWVjfsDMLZk/peiVVY4caHvCKKc2YooT75C3D00XIg7lIs3VBi3NK39/AXiBeK7p+V6IHH3aXG5lu3LG+TGX0Hsuxum/zcAFinss/nl8TviKddXpWW6K/Ah4JdpfV3QwXaSzeufiYsLbyDK262Jp2zPz033VsC62BbflEvjSeCjKe/bAscTT8ZNJy6eOfH0QFk6H8ilMx34ctqexqe0DiK6GvxnCrNZSRpX5NK4mijztkrr8BxGln2HlqQxOY2b2mDee153g1z/GkZvIMpXB7xNuCEqyqM0fkqb/eaMXPw/EXeaTgB2Bk4myrH8Nv+pQeW1wTLp5bgxBrgyN/27iDvYt0tp7EnUIe9m5LGucb5z4SaVjFuTeMeMp33xzLR/TiDqR7fm4p9fkf6WxEUPT58nEnW8icQxLF8WfKkijdptQsP8MeT3O+DGtK+emvbdCUQ97K+5MN8sSWPr3PgniXr5jkRd/ci0PxTrLONK0tmY1nmjAxcST65MSGm9lTg2zijGp+Exk7lwnkjNOVga/3+5PNyc9tsJaT/+Dq1zwMeBNTqdhw7WfZbODcS55l4pH68i6jr5su7iLqfxoVwaDxIXUrcGdiBuBJqZltejbZbZ13PpPAx8CngNUZZtRxxzvkOrbFymEH8x5jxfuSSty6yu/nNG1s12KsnHFBqWe/ThHLYfaWhotJ1OypZxm3CTaVbOVG4nuW3NiTr1G3Pr8jtEuXN31T7R635LPIWZjT8pxc3OC9cphO1HeVhZn+lwHXVdd2uY/jjiuls2r8Xj4F20jpOV20qfltnxueV2P3Ec3Zq4hvjZNK/35baRs0rSGM6lMa7NvPfj2l/PaSxMw6hnQIOGeWlgzpORuuFiYMmKND5GnBhXxZ0JvL0i7rhcuOGafA7lwg3VhGtbAKeDxQMN57s03w2X7aG0DpBVw9SauDNr4r0AHF8z7alUVO6bLHPiDttv0ToxqhvurUhjC1oHy7LhLKLLhuz3qhXpbMScJxJ1wydHe59a2AaiovFEzTr5I/GeoNJKKT2UQQ3jTQf2qMj7OODONvGvBlasmf+ViQv47fIxXIg3lBs3VJLu7sQdplXp/ZZ4j0O7ffn8mjTGFcK+jOh+rsly/V4H28hQwzTvBNbtYVv8MNVl1jPEiduU9HtKTTpHpPDt8jsL2KAk/grMeWGjONxCnJxkvw8sSWNyGje14bz3vO4Gtf41jN7A3GuUWoxWN5Blw73ExbXs90cGldcGy6TJ9j2d6uPGUrRuuKgbJnWb76o0cuPHE70P1E3/QmCJmmnsRnS1XJfGKcCYivi124SG+WNgzjrYumlfrdoeLiB3M0shnU+22ZZOpNk52gSanaONK8SbTINjZsM89HSeSPtGqSWY8+Jd2fAQsGW389Bw3Q+3yUM2XAOs1MN0vlGT9mPExdZ2y8zSNvZ8g/zOoOSaBbA2rSdVyoYriAvc2e9XlqQxhQ7KPfpwDtuPNDS0XU+TsmXYJtxkmpUzldsJsBbR0FC1Du8nus4t3Sd63W+Jd1XdUxFnxHzRe3mYjZvU4zpqMv3pVNTdGk5jiFbDVNnw6SbbSh+WmRE3pNaVmxNz0zitJI38djKuwbz349pfz2ksLEPdI38iC6MTiYvGuxInuasDWTdTjxB3YXzf3S+tSsDdTzCznxOPGu+S0phNFJRXEk83TB3UDHTK3a+zeOnjMNHH9XjiwvJsopC/k7jIfKFHt0bdTudsM7uSuCtsD+KCzLLEwe4u4DfEXfNVcX9H3LW/G1GRHkPcnf8b4GR3v6Msbj94vMfnvWZ2GnGBdijlYRmisn8fcXff5cQdP2Vp3J66zPoocVfI2sTdK3cAZ7r7eWb2gVyUf49MBdz97vSY+gHE0xBbA6sAY4m7x+4iGg5+4u63lKUhg+Put6X1czxxl9fqxHr+O3E36KnuPrOmh4BeyqDNiIaG7Yn9a1WiQeBp4s7eK4iK2r8q8j41dTF6BHE37mZE9yBPEHebnwv80OOx9Kr5nwbsZGb7EXfxvorYPp3YX28mGtQurEqjIt0rzGwisf/sktKcDvwl5eu7xD7VzsHEE1z7Ay8nyqDSrozd/RFgRzPbi7jbbluioWJRWk8ZXQv8zN1/X5ZGhauIMmR3YvmsRayrJYhlfTtxgWayR9eKXXH3E83sD8SdudsTfXo/QvTPfaK732lmxzVI50wz+xnwbqL8fTmxXc0iLhTdQdzdeGFa/8X4081se6LsPzjFd+Ik8Hzijt//yUUpLfs60Y91N8D1Lws4d3/OzPYhbqh5J/EC5kWJiys/Icp5z0XpeZvvQa/HjWeJ95LsTNw9uz2xn4wlnnC9jagXnTeoGXD3W1M3pUcTT56+nGgsm0a8f2Wyu19SnQK4+5Wp69wPAK8julxZnJiHq4DT3f3qQc2DzHvc/T4zm0Dc4LEfsA7RCHA78G13P7cm7mfM7CbiycGtiSe+HyXqcKe7+y/NbLhBHm5O2/bhxLa9GfEk70zi3ONa4gnAqV3OZluDPk/06Ob8jambrmGiXrQycTPM3USd8RR3n9HrvLRxHrG/v5ZYZ2sQ5eEixLq7haiz/KiuHtyOu7/fzK4AjknTWYp4auoy4Cvu/mB9L2Lp6i98xszOIXob2YUos5YnbgD9B1Fvv5I4H/xPSRoPpDr/h4g6//pEve6vRI8eZzDne8/6UTfr+RxW58ELFnf/h5ltBXyE6FVkHVpPDF4MfMPdn6zZJ3rab919Rupm9XjiHGcdYp+syu9cuW7WQE91tybcfYrFu1GPJ+pFqxFP/95EXHu7wswmNUinp2WWyrv3mNllxLnkRMrLzeVSlH6UVf249tdzGgsLi3UsIiKjzcy+Q1zAetDd1xrt/IiIzA1mdjCtmxI2cPd7RjM/IoOWGmqvSj93dfdf14UXERGZm8zsf4nusV4Alk0NiCIi8xSLdxpn76863N2/O5r5kc6U3h0sIiJzV3pJ8b7p53WjmRcRkbnsoPT5GNFdksiCLtvmnyfulBQREZknWDyacmD6eZsapERkHnZQ7ruuo81n1CglIjIXmNn6VvHsuZmNBU4jHmUGOHuuZUxEZIDMbI3U6F41/nCiWwiIrin1CL/M18xsZTNboWb87kR3mBDdP06fG/kSEREBMLNxZlb3Ko/PEF2Egc5LRWSUmNnSZrZazfjxwCfSz5vd/c9zJ2fSL+q+T0RkLjCzycA2wI+A64l+jpcEXkH0M7tVCvorYDddmBWRBUF6b8aXibJvCvFenTFEH+gHEu/JgOgTflN3f3yuZ1Kkj8xsCPgp8GPimH4P0Xf+OsQ7Og4m3n/xH2BLd797VDIqIiILpfQumMOAHwLXEO99XRTYmHgf4lAK+hdgq17ecSoi0i0zG0e8d+pi4BfEe+NmEe/d3oN49cWSxLtah/Se3/lP3d0RIiLSXxsDn64Zfw3wFjVIicgCZhXgfWko8zCwlxqkZAGyHHGi/M6K8U8Bb1aDlIiIjJK1gY/WjP8rUTdTg5SIjKYlgLekocxzwBFqkJo/6UkpEZG5wMxeDrwJ2BUYR1ykXRR4HLgJOB/4kbvPHq08ioj0m5mtDOwP7A5sQpR9ywLTiTvfLgFOd/enRyuPIv1kZssQx/s9gC2IbX4FoiHq78Sdnqe4+2OjlUcREVl4mdlaRN1sN2AD4ji1FPAEcDvwE+B77v7cqGVSRBZ6ZrYosB9Rp96aKKtWBJ4FphI9Epzs7vePVh6lN2qUEhERERERERERERERkYEbM9oZEBERERERERERERERkQWfGqVERERERERERERERERk4NQoJSIiIiIiIiIiIiIiIgOnRikREREREREREREREREZODVKiYiIiIiIiIiIiIiIyMCpUUpEREREREREREREREQGTo1SIiIiIiIiIiIiIiIiMnBqlBIREREREREREREREZGBU6OUiIiIiIiIiIiIiIiIDJwapURERERERERERERERGTg1CglIiIiIiIdMbNhM/M0jBvt/AyKmQ3l5nNoHsjPXmZ2hZlNM7MXU76mj3a+ypjZuNyyGx7t/MwLzGxKWh5TRjsvIiIiIiKjZZHRzoCIiIiIiIjUM7P3AqeOdj5ERERERER6oSelRERERERE5mFmthRwQvr5V2B/YDywObDtaOVLwMwmp6efpo52XkRERERE5gd6UkpERERERGTeNhFYPn3/sLtfOpqZke64+9Bo50FEREREZLTpSSkREREREZF52xq573ePWi5ERERERER6pEYpERERERGRedviue/Pj1ouREREREREeqRGKRERERERGQgzG2tmh5rZz83sn2Y2y8weN7OrzexYM1uyJM6O6R09bmZHNJjG8bnwm1SE2crMTjezu8xshpk9k76fZmYb9WNeG+RzFTP7nJndambTzWymmU01s3PMbPuKOFPMzIGzcn/fl5tfN7OhLvOzgZmdZGZ3mNm/zew/ZnZvekfSxAbxx5rZe83sejN7KqVxi5l92MwWbxB/Ssr/lDbhJmXz2ibcsmb2ITP7jZk9YmbPpXzdamYnm9l2JXHGmNkuZnaimV1jZtPM7Pm0fm5L/69dly/g0PTXOoX1MiLPHczz9mm7mJq2k+lpPj5nZqvUxBsqbhdmdoCZ/drMHkvr+C4z+7KZrViXBxERERGRQdE7pUREREREpO/SxfyfAVsURq0IbJeGI81sL3fPd0l3FfAAsDbwVuDMNpN6a/q8zd3/UsjDGOBE4AOAFeJtlIbDzewod/92k/nqhpntBvwYWK4wap00HGxmpwLHuPvsQeUjl58PAycAixZGrZuGt5vZ59z9kxXxlwEuA3YojBqfhoOAw/ua6RpmtitwHrByYdSiwJZpOJqR28AngU+VJLk8sd1uQWyjB7v7T/qY5VJpe/0mcFRh1OLk5sPM3uzuv2yT3BgzOwc4uPD/RsBxwH5mtoO7P9JzxkVEREREOqAnpUREREREpK/MbCXgauKi/izgFODNwNbAzsAXgGeBDYDLzWz5LK67O9HAALCjmeXfp1ScziuAzdLPc0uCnAx8kGiM+D3wDmAI2AY4AvgzcaPeGWa2Txez2paZbQlcQjRIPQ+cRCyDbYB3A/eloEcRyyXvMGBz4H9z/+2e/suGGzvMz3HAV4gGmz8CRwK7AhOBtwHXEsvrE2Z2TEUyP6DVIHUD0Qg1EdiLaHzbCjijk3x1y8x2Bi4nGqReBCYD+wETiIbPI4CLKO/2cBHgYeBbwCEp/ATgDcCXgRnAUsAPzWzjQtxvEcv/p+n3P5lzvWRDJ75Iq0HqPuA9xHayM7HdPE80mP3czIqNvUWfJRqkLgbemObrdcClafwGKU0RERERkbnK4pxPRERERESkGTMbptWl3LruPrUw/lziCab7gZ3d/T4KzGw88VTU0sAJ7v7x3LjNiQYTgOPc/cSKfHwR+AgwG1jb3R/KjXstcGX6ebi7f7ck/hLERfpdUl43cPcXcuOHgN+mnzu7+5SyfNQxsxuIxrgXgde5+5WF8S8hGvA2SfPxCnf/cyHMMDXLu4O8bALcRjRIfRr4tBdOCNPTOmcTDRoziOX6ZG78XsDP08/LgH3zyyyF+WRKP3OYu08uhJkC7AT8zt2HavI8ifQ0k7tbYdwSwD3A6kQj515V68jM1nL3fxT+Gwc85O6l7+kyszWB64A1gB+4+yElYSYTXfjd7+7jquYjhZ1CxTynbf424sbRPwE7uPv0Qpg9iO11DHCDu7+yMH6I1vYK8L/u/vlCGAN+AewGvACs7u6P1eVbRERERKSf9KSUiIiIiIj0TbrQf2D6eXRZgxSAu98KnJp+DhfG3QHckX6+rWI6RjyhA3GR/6FCkI+mzwvLGqTSdGYS3bpBdKO3c1m4bpnZNkSDFMCZxQaplIcngXeln2OA9/YzDwUfIhqkbqKkQSrlZzbwPuIJt2WA/QtBsvzNAo4oNkglnyMaVgbt7USDFMDH6hoNiw1S6b+pVQ1SafyDxFNlAPukbW5QjqR1fn54sUEq5ecXwPfSz23MbOtimJybiS4ai2k48LX0cxFg224zLCIiIiLSDTVKiYiIiIhIP+0FjCWeXLm8Tdjfp8/V0zuo8rLu+LYs6ToNYHvivVP5sACY2XJEN30AF9RlwN3vBKaln/2+QL9r7ntpw1jKwzXAnSVx+m3v9HlhWYNULj/TaTUK/neZmNlYWsv1Snf/Z0X82cTTVoP2+vT5DO3fPdaWmS1nZuua2aZmtpmZbUZsxxDdL67b6zRqZOv9z+5+fU24/HzWbSs/rFnHN+e+r9ckcyIiIiIi/aJGKRERERER6aeJ6XMp4AUz86qBVjdwAC8rpHMekF1UL3ta6q3pcxZwYWHceFrnOufV5SHlY+WKPPQqe9/Vc0TXbHWyhogNzWyxPucDM1sHWCX9/EKDZZKtx/wyWZ9Yr9D+XVY39C/3lcanz5vd/dnakBXMbB0zO9nMpgL/Bu4lnvLKntb7di74yiNT6J2ZLQ5smH7WNUgB3Err/Vib1YT7a824J3Lfl20zPRERERGRvlKjlIiIiIiI9NNLu4y3VP6Huz9AvHMKWg1QAJjZosCb089LS7o660se+mDF9PlERTd3eY+kTwNe0ud8QH+WyYq574+2ifevLqfXiayR6OFuIpvZnsBfiC4c12kQZcluptNAfn3XLtfU3eDj6eeKNUErG+nSk2yZsW1zJyIiIiLSR4uMdgZERERERGSBkl3knkZn72gqe/fUucCOwLpmtq27X5v+3x1YKRemKg8A7wb+0DAPTzYM16nKrvLmovwy+Qzw44bxnqn4f16Yp66Z2crAD4lGtxnAicAVwD3Av939uRRuF+DXWbS5kLX5ermKiIiIiLSjRikREREREemn7CmOZYE73f3FHtL6MXAysBjRhV/WKJU9OfVv4NKaPAA86+5/6iEPvci6SVvJzBZp87RU1k2eM5jGsfwyeb7LZZLP16ptwrYbnz2t0673jqVrxk0D1gRWa5NGmf2BFdL3/dz9VxXh6p5G6pfGy9XMFqHVIPtEXVgRERERkXmRuu8TEREREZF+ujV9Lk7rvURdcfcngcvTzwPMbBEzWxrYN/13gbvPKol6G60nTrbrJQ89yhp+FgO2bBN2m/T5t+wpnT67l2jEg+6XyT3Af9L3rduEbTf+6fTZrqvCjWrG3ZI+J5pZp10vbpo+n6hpkIL223DPTzalbfhv6ecr2wQfDyyavo9WY6uIiIiISNfUKCUiIiIiIv10Ca0L9R/oQ3pZ93yrAK8F3kDrPUdlXffh7o8B16WfbzWzVfqQj27kGzveURXIzLYFNimJ0zfpibXL0s/dzGzjLtJ4AZiSS6P0CSUzGwMc2ia5rLvGjcxs2Yp0VibWeZVL0udSwLvaTK8o6zVkiZTfsukvBRzSJp2Z6XPxDqdflK33Tc1sm5pwh5fEERERERGZb6hRSkRERERE+sbd76L1vqK3mNmxdeHNbF0zO6gmyCXAU+n722h13fcQ8LuaeJ9Ln8sBF5jZCjV5WNzMjjKzJery2il3vwG4Kf08wsxeUzLt5YEz0s/ZwGn9zEPBF4AXifPAC8xszaqAZjbWzN5WEibL3+LAGWY2lpGOBzZvk5ds3S0GvK9k+osC3wGWrEnjB8R2APB5M9upKmDJfGRPJi0FHFASfmya/uo10wd4OH2+tKpxraHTaHVp+G0zW64kT7sB70w/b3D3G3uYnoiIiIjIqNA7pUREREREpN+OJLo9Ww/4qpntC3wf+DMwi3gnzhbAHsAuwE+A88oScveZZnYRMEw8JbVYGnWeu88ui5PiXWZm3wDeD+wI3GlmpwNXE+9XWhrYANgBeCPRjdzZXc9xtSOA61O+LzOzk4mGtmeIrtg+SiwngBMH+f4rd7/DzD4MnEQ8mfUnM/s28BvgX8ASwDhgW+KdS6sRjUsP5tK4xMwuAfZOwzVmdhLRyPNSYj0dSDTG1XV9dylwP7AO8Nn0VNRFxJNHmwLHEMvnOuBVFfMz08wOAa4kGpd+ZWbnABenPC8O/A/wOmAf5nya6f+AE9J/Z5nZlsAviS4ONyUayiYA11Df3eEf0ucY4PS0fqfl8vj3mrj5ebnDzL4KHEfsG7eY2ZeI7jCXJpb1McBY4Dng3U3SFRERERGZ15h7z11gi4iIiIjIQsTMhoGz0s913X1qSZiXERf+d2iQ5FnuXte93a5Eg0HeeHe/rU0+DfhEGtrdkPcMsIq7Z+9MwsyGgN+mnzu7+5Q2aVTlYzfi6bERT7/knAocU9bQ1mR5d5ifI4Cv0+oGscpzwKbFhpX0RNDlVDfW3Ep0M3dz+n2Yu08uycf2wC+IRpeiF4FjgRWBTwG4u5VNzMx2Jxo1a99PVYxvZocRT0NV9SByPnAmrW7yRmwDqeu/a6huOLNc2CnATsDv3H2oZD7GACcD762ZjX8DB7j7lSXxh2i4vZpZdiHg0+4+qWZ6IiIiIiJ9pe77RERERESk79z9EXffEXg98e6ne4FngeeBx4gnTL4K7FTXIJX8hlY3aQB/adcglfLg7v4ZYCPgy8TTO08QDR5PA39JeTsUWC3fINVPqQFhA+LJnNuI7ghnAQ+k6e/g7kfXPfnV5/ycSTyd9SmiQWUa8ALRMHc3cCHwHmCNsid93P1pYIh4muhGYAaxPG8juu57NbGc2+XjauJppHOAfxLbxsNp+ju6+zcbzs8VaX4+RmxXjxPr+CngFqIBbsR7mtz9LKLR9GJim8ym/wvgQHd/S0qnbtqzgd2I7iJvJ5ZFV3d+uvtsdz+KeLLvXGL7mJXm4zZi+9mwrEFKRERERGR+oSelREREREREREREREREZOD0pJSIiIiIiIiIiIiIiIgMnBqlREREREREREREREREZODUKCUiIiIiIiIiIiIiIiIDp0YpERERERERERERERERGTg1SomIiIiIiIiIiIiIiMjAqVFKREREREREREREREREBk6NUiIiIiIiIiIiIiIiIjJwapQSERERERERERERERGRgVOjlIiIiIiIiIiIiIiIiAycGqVERERERERERERERERk4NQoJSIiIiIiIiIiIiIiIgOnRikREREREREREREREREZODVKiYiIiIiIiIiIiIiIyMCpUUpEREREREREREREREQGTo1SIiIiIiIiIiIiIiIiMnBqlBIREREREREREREREZGBU6OUiIiIiIiIiIiIiIiIDJwapURERERERERERERERGTg1CglIiIiIiIiIiIiIiIiA6dGKRERERERERERERERERk4NUqJiIiIiIiIiIiIiIjIwKlRSkRERERERERERERERAZOjVIiIiIiIiIiIiIiIiIycGqUEhERERERERERERERkYFTo5SIiIiIiIiIiIiIiIgM3P8HfE6ueo+OckQAAAAASUVORK5CYII=\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,4),dpi=200)\n",
|
|
"sns.countplot(x='level of education',data=df,hue='training level',palette='Set1')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='count'>"
|
|
]
|
|
},
|
|
"execution_count": 8,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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vtBoQnJIGYOa++/MUwGqWwWqF/4ZycYdK4qxZVUal8SvQOsG+qiLM5GwaDdbjubl1tF5FmHx5/vkOtpElaVXQaxudytZVg/QXp1VuzgA2KQmzOXPf/Ta1JMymuXxOLlufxEXp7ITiaeAlhfH75aZxISVPGRA3b+TLvuGSMFNy458Gthzkuhvk+tcwegNzX2h5rqKsWYnWU823V6QztWa/mUDrIurvgaVKwhxQ2OYnDyqvDZZJL8eNY3N5vAhYoiLuGAoXkxn5VPHHS+IZccOSExcaVy0Jk+8p4J0l45cAfp0Ls1dJmBvSuBeA3UvGv4TWk60vApt1sk1oWHCGwn7nwMElYZaj1dj5IiXnNcAGVNSB0vgtaDU4jahzpTA356bxlpq0Vi6WM8x9zJxRsc1uSNwo6AzwPJH6c7C9c3F/SflF63z655eMHy6ssxHlQMN1v34ujcpGp1QuvaSL9F9K63x4GiVPfxLnAM/n8lG2zF7bbl6JeuavctNarDD+/bk0TqpI4+TCch0qCTM1N/4hYJ2a+e/5HLYfaWhotK1Ozq3XWcArS8Lk991HiZsDNygJl79he/+S8csAq9fkxYgbEp2oc69QGN/TfkvDYzf9Kw/z+9Qvqag3NVhHXdfdGqafr1u1Ow46JefW/VhmxPXM7Dj117L9nmjomZ1LY0pJmOHCsq88TtCfa389p7EoDaOeAQ0a5qeBuPM7K6yW7zBuvhX/oJpwH8+Fe3Nh3PjcuAeouMOHuIs+C3dtzbTOTmGeKBmXPb30b0pO9Athr09hz+1imZ6Qy+t+HcY9MBf3ozXh3pYLd1zJ+Gk1B6n8Mh8ujDNaXXe0u3i8Vy6djXL/L0E8keDADTXxV8sddJ2Rdz3umBu3RZu8ZHcdXtPvfURD7wPR9US2LicWxvVSBmV3LX21w3j5bfSPlDwFlcItT+vx+z8Vxq1I62T7pqo0avIwlJvvoS6X6365NFYuGT85G98mnfHExUmnpmEwhf1iCvdQB/lcI5fPEXew9mH7enMu/Q/XhMsfs6aWjP9OGncj9RfXVqTVveqRhXGXp/+fpeI4k8rZm3N5GS4JMyU3/hODXHeDXv8aRm9g7gstX6kJ94UUZg7lT9JNrdlvTstNY8SF4Fy4fHdVkweV1wbLpNvjxhhaT1r8nQ67eGbuMv+mqjKGeMq4tLxMZWm2r15eM63xtC70XloYt20u/dNq0tg+F+7UTrYJDQvOUNjvLqkJl99uaru/q0njpBT/jpJxu+fSP6mLtKfk4r+vJlzWtdDjJeP6cp5I/TlY9iT1c5TczJkL94sU7nkKF7CZ+2Ljr3pY96/OpfOKAWxb+SfP31QTLv+kbdkyyxqbLmgzvU1y6RQv9Ga9qfyd6psJlmLuXj6GSsJMzY0/tCYvPZ/D9iMNDY231Xw5+L814ablwr2nZjvKrm90VM/IpbESrWP9mwrjetpvad4o1a/yMMvri1S8qqFhvruquzVM+2W55d30OOiDWGbEk5fZNPauiZ+/MXZKyfjh3PjK4wT9ufbXcxqL2tDoheUii5CHc98P7zBu9sK/GcTFhirfLolT5iJ3f75i3O257+fXpJGFe4mNfMn0vunzt+7+WE0aEHdjQHT91KnsBdP3Eo+udiJbPk504VDlR8Rd//k4/bApcbcjRHdbdX6X+55fTpOIi7YQT5qUcvd/EncEV8nW113ufkfDvGxjetnrqEov0lzHzDY1s83NbHOispLZshCllzIoi7uPNXyBdjKR1jY6xd1fLAvk7k8R/VcDbGpmq+dG70o8xQnwjao0+sXMlkkvKt0st1zz5WVxuXZib+LpxWeJRpU62b62hpmt0zD9x4kLMACHDmAfzZebZ9eEOyuFqbJP+rzQU825jLvPALIy6T9lX5qvndPPn1cdZ1La59Tko+jcmnH9WHeDXv8yf6jbjm5On0Z0S9OJbP+71d3/VBPuex2kOai8QvfHja2Id5IAnOnuM7uYduYHNWXMzbnv6xfGDRH7KkQjeil3n0Zc1AYYMrOxudH5OmNdGtcQF3KLcWThdVbVCHe/gXh6DhpsD2b2EjPboFBnmZFGb2pm4wpRXp/7/rXmWR6ZVeKdb1Wy/WuleX2eWKgjXOnuf68Jfmb6XIzY76vUlZXt5Ovfwz2kUyXbTp4EflITrvJ818yWpzX/teel7n4ncSMZzF03WxP4r/TzR+4+uyL+v4nz6yaeaxO2H+ewOg8eHT+sGfeH9OlUXI9K29Ff08/iMXwEMxtnZmuZ2Sa5snIN4twJ6s+bh9ul34N+l4fXpLpJt7qtuzWxC626VdPjYJl+LLOs3JxO/TlZv+rU/bj21480FikqpEXmdjXReLI+8DUzexvRx/3vgBvd/bmauJunz1tqGpNw93+a2TTizs3Nq8IRd0BUmdFFuOUKvyelzz3MrO7CZN7LGoYDomJBax6vrruwWSGLe1/dwczdnzOzW4mKet0y7dSk3PdrzawyYEF+OeXzc3MxYMFNxNMedXl5eQfraxxxd9GjDcNLH5jZMkS3Rm8BNqNVsStTrEj2UgadTfRHvSHwNzO7iLgQd5W7P1gTL7+NXl8TLht/VC5eVimekAtzVZs0upIq3R8i3smwEXM37hX1UkHP9rWlgRc63O8faBfI3Web2fnEHWQHECfN/0fcrff71MjTiy3S533uPr0qkLs/lo5FIy5km9m6RJe0AF8wsy80nHa+7NuAuEMSmpV9Tcx093trxvdj3Q10/ct84y81457IfV+uaYJmtiRR/kL/tnkYQF5zuj1u9LPM73b+Oj127UXs1+vTukiWpfEc0RVNuzQ2ATYys8XbHI9lwXdjm/E3EHW8jcu2BzPbAvggsd3VnT+NIbrxydfVs/3rAXe/v6Ncz226uz9eM764f83I/R70eeL6tG5marL/ZurO8/5QM66Wu99nZlcRT+R80Mz2ILodngpc5+7Pdpt2ktXNbnX3F2rC3UaUR4uXjJsA/7mp/DwzO6/htHs5L23ir+4+q2Z8P85hdR48OppcZ5ru7k82CFdaR0nXi95FnBdNoHzbz8x1fjcP9ttMv8vDrsuqpNu6WxNb5L43PQ6W6ccyy8qr29x9Tk28O6guN4vqln0/rv31I41Fip6UEslJjUn70Lobchui+7mrgRlm9nMze2vhLsvMSumzScXnkUKcMnUH0Xyh3DRcMc8vrYlXZan2QeayEq0Lxw/XBayJD/1bpp3qZhlB6yQL4kQz0+4ukbrx/ciLDJiZjScqRicAr6C+QQoK+1QvZZC7fzeFfYF4x9LhxB2yfzezv5nZV8ys7C61/D7Tbl97JPc9Hy9/ktDNvl7LzCYSFy6PBzamvkEKOi+r8ubFvnYMcEn6vi7RrculwONmdqOZHWdmK3SZj07KzX9W/D8/lX15M9qM70e+VdYuAtpcqKirO9VZMfe9X9v8oPKapd3tcaOfZX7l/BUuQhTnrx/Hruz7E20uFOfTMOYu32Th1G6byo6fI7YHM3sn8d6bw2l2oalYZ8n2r4HtW8lonif2Y/8tqrsw3sTBwLXp+6bAJ4ju8maY2e/M7D3p5oNuNKqbpXLoiYrR82vdrN1yV91sAdWw/tG0nBlRRzGzlYh97hTglbRvVCgrYwa532b6XR72VFb1UHdropOyueo8EvqzzLLyqrYsSj20VJWbRXXLXmXVKNCTUiIF7v7ndHfbPmnI7kJYiujbfg/gQ2b2OncvK6g7fRpotGQVg8uJd4vMz0ZrmeYrT/sQfSc3MYg7srK83A4c0kG8hwaQF6l2DvHkiROPvP+QaGB6DHjO3d3MxhB9SUNJ40ovZZC7f9zMvkW8Z+01wKuISs4GxFNG7zOzY9399Ir8z3fll5ktTnQbuDLRRd/JRNcndwNPZl2PpMr3PVm0HiaZ7WvTiS4MmrqvacDUFeK+ZrYt8e68IaI7rLHEHVaTgI+Y2Rvc/dqqdNpNpst4MHfZ9xmad+HyTA/TbKJdt5D9WHcDX/8i85M+HDfmB70eu+a7Y5+Muq62CTP7L+B04jrLo8CXgV8T5xBPZ71pmNk7aHUZ2UudZVDm5Xliv/a/nrqOdveHgFeb2WuANxLdC25KPHGzYxo+kurfdU+Q1E6mhyzm62bvBn7fMF6vjXXtNK2b9XIOq/PghdPXiW7kAS4muq/8A1F2zsp62TGzB4C1KT9vnhf7bb/Lw567uZ9Hdbd+lFfz27XGumXfj2t/89P1wwWCGqVESqTW9ovTQHp3yp7A0cSBcyJwBrB/LtoTwOrAag0mkd0117RFfxAeJ/roXdzd/zigaTxB3B0zhlg23cSH0Vum+S4vZnS5nPInAqtS/xj8qjXjsrwsO8D1JT1IFyJ2SD9PcPf/qQja9mm+LsugLO79xN1TJ6QuEbYhGj7eDSwJfNPMrnf3W1OU/D6zGvXbaP6O33y8fDdxq9PfC/S70uqH/L3u/u2KcP16SjLb15YD7hzk+7FSf9w3AJjZckTj1DBxUvVS4EIz2yD1yd5UVuY0KTerwuTLvuf7VPbVaTe+qX6su3m2/mWhMyP3fV5t833RxXGjWObXdcE3KMVjV907aaqOXdn3lc1ssTZPS2VpOIO/yCujr902lR0/i9vDMHGN5UVgZ3ev2jfq6izZ/tXNuVO/DPo8sbj/1qnafwfC3X9FPGmBma1MvNfkXUR9dAPi/TkTKhMo9yQxH7Xzmt6BVLVt5Otmzy6AdbNezmF1HryQSe9IOyj9PNfd6xob2z6dPKD9NjMvrpt1rIu6WxP5MqLpcbBMP5ZZVm7WlkWpB5l+PMHej2t//UhjkaLu+0QacPeH3f0s4gV0t6S/X29m+UdMswJn67qXaprZS4numvJxRkN2cJqUnkTou3Q3YDaPO1oHnaomWdz1zKzyYJQOwlklo5/LNH8A377LNPIvgJxYGSpMqhmX5WV9M1tk+5ydz+X7VC594WtSt55LNSyDyuI97+6/d/cPAG9NfxvxLqNMfp95ZZusbFsR75bc953apNGpfi3Xpnd7ZfvaEg3S7Bt3f9rdL3H3NwHfSH+vTquhs6nsBdDrpZOyUqlMHV8x+l7gX+l7t2XfPUD2joFeyr5O9GPdjcr6lwVfeqdG9rTmvNrm+67hcWOQZX5T3Ry7niXKt2IaixNPqzZJ4696n9QiYZuG44vbQ1Znub2mQQrqy4Bs/1onveNxNAz6PPFeWt1+dVv3HDh3f9zdz3f31wA/TX9vZWYbdZhUVjfbqu46AbAl1V2Y3UarLjva56Wd6Mc5rM6DFz4bEU8zQc35Xbrpc9lOEu5gv+303HBg18161bDu1sQdue9Nj4Nl+rHMsvJqq9TTTJUtiPO2XvXj2l8/0likqFFKpAOpkeW36edizP3+gF+mzxWJu9yrvJPWo8e/rAk3aNkBOuuHdlCy96asB+zXYdxs+Rj1eTyAmI98nH64BcheFvmuLvsjvonWxd3KO4DMbDWiW7Yq2foy4P1d5EMGL3+SuUxNuPd0O4E2ZVA7v8p9z78P5GZad/gfVlXpS0/yHJh+/tnd8+86+A2trtveV/HevW61Xa4pz0e2Sec/L2E2s7qK6yW0TlI+0CB/g1C1rprIl5tvrwk3TEWXQenpoMvSz93NbJMO85C9F+F36eeeVTcWpJsVDu00/Qr9WHfzw/qXBVe2704ws6qXP0P9vjk/qSqLbqd19+wRZtbRBaM+mUqrG5Z3VAUys3WA12ZxCk8/5uuMdWlsR3QHVIwjC6/DqkaY2Ta0XsBe3B6yOktlPTA9/b5vzbQvyX3/YE24QRroeWKqI2T12dea2Vo1wY9Iny8Q+/1o6UfdbCWiS6cqleWQuz8GXJd+vrXuhs2aNB6k1SPCm6vqw+mc982dpl+hH+ewOg9e+Az8vDmp22+zc8N2DRrz6rpZv/RSVv2GVt2q6XGwTD+WWTYfqwB71YTrV526H9f++pHGIkWNUiI5ZrajmW1YM35xop9agJnM/dK9s2jd8fUVM1uzJP6WwH+nnw+RuuYaJWfTuqBwopnV3ulqZjuY2c51YSqcQuti9RlmVnnwKjkhuRj4R/r+8fSenWKctYET089nifXQF+kF2yekn+sD36u7mG1my5vZMYU0ZgHfSz+3MbMRFel0Qf0M4jHrqrxcSermCzjOzA6sCpvS3MLM6k56pP/+mvs+XBbAzI6ipnG2lzLIzA5pc/fl7rnv/+leL72TKesSb3PiBbHF6RqxL2cV21Py4919BrENQ9x5+bWqJyPNbFx6YrSptssV+AKwdZt08o1oG1QFcve7aL1D6S1m9qG6RM1sPTM7uM208+HXb1CWlq6rhi6mNa+fMLOXl+RhU+DjbdL5AnFSMga4oO6CkZmNNbO3lYTJtomlgNMrGjw/RPt110g/1t2g178s9L5Fq1HzzLKnWc3sTZR0vToaejhuzCHelQOwFlE/Kr0T1szGmNkaPWe2wN3/Afw4/dzLzEZcPEl5+i6tu7GLx64biJuHAI60eCdFMY0VaJVlc4DTes+9LAD2LatrpwbY/PZwRiFIVmfZyMxeXRJ/aeKF9JVPurv7L4kbhiBu9HlLVVgzW7ndU/Ndmhfniaemz8WB76SeL4rpvoNWOXRR4YaovjGzrcxsq5rxRnQHBlHGT+twEmcDWVfMX003IxansTPR3Vidz6XP5Ym62YpVAc1sCTM7uuSiaLbNrgX8b0X0LxNdb/WsH+ewOg9eKP2NVn3psLLzxrQOjyn+nxvf636blSfrV523JvPqulkj3dbdmkhl7E/SzybHwSr9WGZnA7PT96+Z2YgGtnTT0NFt8tJIn6799ZzGIsfdNWjQkAZgMnERbipwHPHkytbEo5eHA9cTBzQHvlYS/7258Y8Qd1lvC7wa+CTwdBo3B3hdSfzxufjDNfkcyoUbqgk3nAs3vmT8q4g7RJy4++z7xFNHE4nHcfcFPk28cNKBY7pcrofm8vEs8VLLPYmuUnYg7oC5DLinJO7eaXk58BRxwfzVRFcPHwT+mUv7qIrpT0vjp3S6zIk7si7Khflb2jZ2TvnfiTiB+AHRSDC9JI2ViEpPlsb3ctvWgcA16f/89rVuSTobEP3UZmF+Srzcctu0zvYiGj2vTeNPHO19alEa0rZyR279nA+8Pq2b/YgL3Q5cnQszuZDGZLosg2iVO98knsrbjujWck/gK2nfc6IcWrsQdzmi26ks7QvSvrc18Cbirqls3O+BsSXzvzStssKJC31HEuXM1kR58mXi7qHhQtyhXLyhwrhlaO3nLxAvEN8jLdeDiLtPi8u1bF/eMDf+CmLf3Sj9vyGwWGGfzS+P3xJPub4qLdPdgA8Dv0jr64IOtpNsXv9EXFx4A1HebkM8ZXt+brq3AtbFtvimXBpPAh9Led8OOJ54Mm4GcfHMiacHytL5QC6dGcCX0vY0IaV1MNHV4D9SmM1L0rgil8bVRJm3dVqH5zCy7DusJI0pady0BvPe87ob5PrXMHoDUb464G3CDVFRHqXxU9vsN2fk4v+RuNN0IrALcDJRjuW3+U8NKq8Nlkkvx40xwJW56d9F3MG+fUpjL6IOeTcjj3WN850LN7lk3FrEO2Y87Ytnpv1zIlE/ujUX//yK9LciLnp4+jyRqONNIo5h+bLgixVp1G4TGhaMIb/fATemffXUtO9OJOphf8mF+UZJGtvkxj9J1Mt3IurqR6X9oVhnGV+Szia0zhsduJB4cmViSuutxLFxZjE+DY+ZzIPzRGrOwdL4/8vl4ea0305M+/G3aZ0DPg6s2ek8dLDus3RuIM419075eBVR18mXdRd3OY0P59J4kLiQug2wI3Ej0Ky0vB5ts8y+lkvnYeBTwGuIsmx74pjzbVpl47KF+Isz9/nKJWldZnX1nzGybrZzST6m0rDcow/nsP1IQ0Oj7XRytozbhJtCs3KmcjvJbWtO1KnfmFuX3ybKnbur9ole91viKcxs/EkpbnZeuG4hbD/Kw8r6TIfrqOu6W8P0xxPX3bJ5LR4H76J1nKzcVvq0zI7PLbf7iePoNsQ1xM+meb0vt42cVZLGcC6N8W3mvR/X/npOY1EaRj0DGjTMTwNzn4zUDRcDS1Wk8d/EiXFV3FnA2yvijs+FG67J51Au3FBNuLYFcDpYPNBwvkvz3XDZHkbrAFk1TKuJO6sm3gvA8TXTnkZF5b7JMifusP0mrROjuuHeijS2pHWwLBvOIrpsyH6vVpHOxsx9IlE3fHK096lFbSAqGk/UrJM/EO8JKq2U0kMZ1DDeDGDPiryPB+5sE/9qYKWa+V+FuIDfLh/DhXhDuXFDJenuQdxhWpXeb4j3OLTbl8+vSWN8IezLiO7nmizX73awjQw1TPNOYL0etsWPUF1mPUOcuE1Nv6fWpHNkCt8uv7OBDUvir8jcFzaKwy3EyUn2+6CSNKakcdMaznvP625Q61/D6A3Mu0apxWl1A1k23EtcXMt+f3RQeW2wTJps3zOoPm4sTeuGi7phcrf5rkojN34C0ftA3fQvBJasmcbuRFfLdWmcAoypiF+7TWhYMAbmroOtl/bVqu3hAnI3sxTS+WSbbelEmp2jTaTZOdr4QrwpNDhmNsxDT+eJtG+UWpK5L96VDQ8BW3U7Dw3X/XCbPGTDNcDKPUzn6zVpP0ZcbG23zCxtY883yO9MSq5ZAOvQelKlbLiCuMCd/X5lSRpT6aDcow/nsP1IQ0Pb9TQ5W4Ztwk2hWTlTuZ0AaxMNDVXr8H6i69zSfaLX/ZZ4V9U9FXFGzBe9l4fZuMk9rqMm059BRd2t4TSGaDVMlQ2fbrKt9GGZGXFDal25OSk3jdNK0shvJ+MbzHs/rv31nMaiMtQ98ieyKDqRuGi8G3GSuwaQdTP1CHEXxvfc/dKqBNz9BDP7GfGo8a4pjTlEQXkl8XTDtEHNQKfc/TqLlz4OE31cTyAuLM8hCvk7iYvMF3p0a9TtdM42syuJu8L2JC7ILEcc7O4Cfk3cNV8V97fEXfu7ExXpMcTd+b8GTnb3O8ri9oPHe3zea2anERdoh1IeliUq+/cRd/ddTtzxU5bG7anLrI8Rd4WsQ9y9cgdwprufZ2YfyEX518hUwN3vTo+pH0g8DbENsCowlrh77C6i4eDH7n5LWRoyOO5+W1o/xxN3ea1BrOe/EXeDnurus2p6COilDNqcaGjYgdi/ViMaBJ4m7uy9gqio/bMi79NSF6NHEnfjbk50D/IEcbf5ucAPPB5Lr5r/6cDOZrY/cRfvq4jt04n99WaiQe3CqjQq0r3CzCYR+8+uKc0ZwJ9Tvr5D7FPtHEI8wXUA8HKiDCrtytjdHwF2MrO9ibvttiMaKsbResroWuCn7v67sjQqXEWUIXsQy2dtYl0tSSzr24kLNFM8ulbsirufaGa/J+7M3YHo0/sRon/uE939TjM7rkE6Z5rZT4F3E+Xvy4ntajZxoegO4u7GC9P6L8afYWY7EGX/ISm+EyeB5xN3/P5XLkpp2deJfqy7Aa5/Wci5+3Nmti9xQ807iRcwjyMurvyYKOc9F6Xnbb4HvR43niXeS7ILcffsDsR+MpZ4wvU2ol503qBmwN1vTd2UHkM8efpyorFsOvH+lSnufkl1CuDuV6aucz8AvI7ocmUJYh6uAk5396sHNQ8y/3H3+8xsInGDx/7AukQjwO3At9z93Jq4nzGzm4gnB7chnvh+lKjDne7uvzCz4QZ5uDlt20cQ2/bmxJO8s4hzj2uJJwCndTmbbQ36PNGjm/M3pm66hol60SrEzTB3E3XGU9x9Zq/z0sZ5xP7+WmKdrUmUh4sR6+4Wos7yw7p6cDvu/n4zuwI4Nk1naeKpqcuAL7v7g/W9iKWrv/AZMzuH6G1kV6LMWoG4AfTvRL39SuJ88N8laTyQ6vwfJur8GxD1ur8QPXqcwdzvPetH3aznc1idBy9c3P3vZrY18FGiV5F1aT0xeDHwdXd/smaf6Gm/dfeZqZvV44lznHWJfbIqv/PkulkDPdXdmnD3qRbvRj2eqBetTjz9exNx7e0KM5vcIJ2ellkq795jZpcR55KTKC83l09R+lFW9ePaX89pLCos1rGIiIw2M/s2cQHrQXdfe7TzIyIyL5jZIbRuStjQ3e8ZzfyIDFpqqL0q/dzN3X9VF15ERGReMrP/IbrHegFYLjUgiojMVyzeaZy9v+oId//OaOZHOlN6d7CIiMxb6SXF+6Wf141mXkRE5rGD0+djRHdJIgu7bJt/nrhTUkREZL5g8WjKQennbWqQEpH52MG577qOtoBRo5SIyDxgZhtYxbPnZjYWOI14lBng7HmWMRGRATKzNVOje9X4I4huISC6ptQj/LJAM7NVzGzFmvF7EN1hQnT/OGNe5EtERATAzMabWd2rPD5DdBEGOi8VkVFiZsuY2eo14ycAn0g/b3b3P82bnEm/qPs+EZF5wMymANsCPwSuJ/o5Xgp4BdHP7NYp6C+B3XVhVkQWBum9GV8iyr6pxHt1xhB9oB9EvCcDok/4zdz98XmeSZE+MrMh4CfAj4hj+j1E3/nrEu/oOIR4/8W/ga3c/e5RyaiIiCyS0rtgDgd+AFxDvPd1HLAJ8T7EoRT0z8DWvbzjVESkW2Y2nnjv1MXAz4n3xs0m3ru9J/Hqi6WId7UO6T2/C566uyNERKS/NgE+XTP+GuAtapASkYXMqsD70lDmYWBvNUjJQmR54kT5nRXjnwLerAYpEREZJesAH6sZ/xeibqYGKREZTUsCb0lDmeeAI9UgtWDSk1IiIvOAmb0ceBOwGzCeuEg7DngcuAk4H/ihu88ZrTyKiPSbma0CHADsAWxKlH3LATOIO98uAU5396dHK48i/WRmyxLH+z2BLYltfkWiIepvxJ2ep7j7Y6OVRxERWXSZ2dpE3Wx3YEPiOLU08ARwO/Bj4Lvu/tyoZVJEFnlmNg7Yn6hTb0OUVSsBzwLTiB4JTnb3+0crj9IbNUqJiIiIiIiIiIiIiIjIwI0Z7QyIiIiIiIiIiIiIiIjIwk+NUiIiIiIiIiIiIiIiIjJwapQSERERERERERERERGRgVOjlIiIiIiIiIiIiIiIiAycGqVERERERERERERERERk4NQoJSIiIiIiIiIiIiIiIgOnRikREREREREREREREREZODVKiYiIiIiIiIiIiIiIyMCpUUpEREREREREREREREQGTo1SIiIiIiIiIiIiIiIiMnBqlBIRERERkY6Y2bCZeRrGj3Z+BsXMhnLzOTQf5GdvM7vCzKab2YspXzNGO19lzGx8btkNj3Z+5gdmNjUtj6mjnRcRERERkdGy2GhnQEREREREROqZ2XuBU0c7HyIiIiIiIr3Qk1IiIiIiIiLzMTNbGjgh/fwLcAAwAdgC2G608iVgZlPS00/TRjsvIiIiIiILAj0pJSIiIiIiMn+bBKyQvn/E3S8dzcxId9x9aLTzICIiIiIy2vSklIiIiIiIyPxtzdz3u0ctFyIiIiIiIj1So5SIiIiIiMj8bYnc9+dHLRciIiIiIiI9UqOUiIiIiIgMhJmNNbPDzOxnZvYPM5ttZo+b2dVm9iEzW6okzk7pHT1uZkc2mMbxufCbVoTZ2sxON7O7zGymmT2Tvp9mZhv3Y14b5HNVM/ucmd1qZjPMbJaZTTOzc8xsh4o4U83MgbNyf9+Xm183s6Eu87OhmZ1kZneY2b/M7N9mdm96R9KkBvHHmtl7zex6M3sqpXGLmX3EzJZoEH9qyv/UNuEmZ/PaJtxyZvZhM/u1mT1iZs+lfN1qZieb2fYlccaY2a5mdqKZXWNm083s+bR+bkv/r1OXL+Cw9Ne6hfUyIs8dzPMOabuYlraTGWk+Pmdmq9bEGypuF2Z2oJn9ysweS+v4LjP7kpmtVJcHEREREZFB0TulRERERESk79LF/J8CWxZGrQRsn4ajzGxvd893SXcV8ACwDvBW4Mw2k3pr+rzN3f9cyMMY4ETgA4AV4m2chiPM7Gh3/1aT+eqGme0O/AhYvjBq3TQcYmanAse6+5xB5SOXn48AJwDjCqPWS8Pbzexz7v7JivjLApcBOxZGTUjDwcARfc10DTPbDTgPWKUwahywVRqOYeQ28EngUyVJrkBst1sS2+gh7v7jPma5VNpevwEcXRi1BLn5MLM3u/sv2iQ3xszOAQ4p/L8xcBywv5nt6O6P9JxxEREREZEO6EkpERERERHpKzNbGbiauKg/GzgFeDOwDbAL8AXgWWBD4HIzWyGL6+5ONDAA7GRm+fcpFafzCmDz9PPckiAnAx8kGiN+B7wDGAK2BY4E/kTcqHeGme3bxay2ZWZbAZcQDVLPAycRy2Bb4N3AfSno0cRyyTsc2AL4n9x/e6T/suHGDvNzHPBlosHmD8BRwG7AJOBtwLXE8vqEmR1bkcz3aTVI3UA0Qk0C9iYa37YGzugkX90ys12Ay4kGqReBKcD+wESi4fNI4CLKuz1cDHgY+CZwaAo/EXgD8CVgJrA08AMz26QQ95vE8v9J+v0P5l4v2dCJ/6XVIHUf8B5iO9mF2G6eJxrMfmZmxcbeos8SDVIXA29M8/U64NI0fsOUpoiIiIjIPGVxziciIiIiItKMmQ3T6lJuPXefVhh/LvEE0/3ALu5+HwVmNoF4KmoZ4AR3/3hu3BZEgwnAce5+YkU+/hf4KDAHWMfdH8qNey1wZfp5hLt/pyT+ksRF+l1TXjd09xdy44eA36Sfu7j71LJ81DGzG4jGuBeB17n7lYXxLyEa8DZN8/EKd/9TIcwwNcu7g7xsCtxGNEh9Gvi0F04I09M6ZxMNGjOJ5fpkbvzewM/Sz8uA/fLLLIX5ZEo/c7i7TymEmQrsDPzW3Ydq8jyZ9DSTu1th3JLAPcAaRCPn3lXryMzWdve/F/4bDzzk7qXv6TKztYDrgDWB77v7oSVhphBd+N3v7uOr5iOFnUrFPKdt/jbixtE/Aju6+4xCmD2J7XUMcIO7v7IwfojW9grwP+7++UIYA34O7A68AKzh7o/V5VtEREREpJ/0pJSIiIiIiPRNutB/UPp5TFmDFIC73wqcmn4OF8bdAdyRfr6tYjpGPKEDcZH/oUKQj6XPC8sapNJ0ZhHdukF0o7dLWbhumdm2RIMUwJnFBqmUhyeBd6WfY4D39jMPBR8mGqRuoqRBKuVnDvA+4gm3ZYEDCkGy/M0Gjiw2SCWfIxpWBu3tRIMUwH/XNRoWG6TSf9OqGqTS+AeJp8oA9k3b3KAcRev8/Ihig1TKz8+B76af25rZNsUwOTcTXTQW03Dgq+nnYsB23WZYRERERKQbapQSEREREZF+2hsYSzy5cnmbsL9Ln2ukd1DlZd3xbVXSdRrADsR7p/JhATCz5Ylu+gAuqMuAu98JTE8/+32Bfrfc99KGsZSHa4A7S+L02z7p88KyBqlcfmbQahT8zzIxs7G0luuV7v6PivhziKetBu316fMZ2r97rC0zW97M1jOzzcxsczPbnNiOIbpfXK/XadTI1vuf3P36mnD5+azbVn5Qs45vzn1fv0nmRERERET6RY1SIiIiIiLST5PS59LAC2bmVQOtbuAAXlZI5zwgu6he9rTUW9PnbODCwrgJtM51zqvLQ8rHKhV56FX2vqvniK7Z6mQNERuZ2eJ9zgdmti6wavr5hQbLJFuP+WWyAbFeof27rG7oX+4rTUifN7v7s7UhK5jZumZ2splNA/4F3Es85ZU9rfetXPBVRqbQOzNbAtgo/axrkAK4ldb7sTavCfeXmnFP5L4v12Z6IiIiIiJ9pUYpERERERHpp5d2GW/p/A93f4B45xS0GqAAMLNxwJvTz0tLujrrSx76YKX0+URFN3d5j6RPA17S53xAf5bJSrnvj7aJ988up9eJrJHo4W4im9lewJ+JLhzXbRBlqW6m00B+fdcu19Td4OPp50o1QSsb6dKTbJmxbXMnIiIiItJHi412BkREREREZKGSXeSeTmfvaCp799S5wE7Aema2nbtfm/7fA1g5F6YqDwDvBn7fMA9PNgzXqcqu8uah/DL5DPCjhvGeqfh/fpinrpnZKsAPiEa3mcCJwBXAPcC/3P25FG5X4FdZtHmQtQV6uYqIiIiItKNGKRERERER6afsKY7lgDvd/cUe0voRcDKwONGFX9YolT059S/g0po8ADzr7n/sIQ+9yLpJW9nMFmvztFTWTZ4zmMax/DJ5vstlks/Xam3CthufPa3TrveOZWrGTQfWAlZvk0aZA4AV0/f93f2XFeHqnkbql8bL1cwWo9Ug+0RdWBERERGR+ZG67xMRERERkX66NX0uQeu9RF1x9yeBy9PPA81sMTNbBtgv/XeBu88uiXobrSdOtu8lDz3KGn4WB7ZqE3bb9PnX7CmdPruXaMSD7pfJPcC/0/dt2oRtN/7p9Nmuq8KNa8bdkj4nmVmnXS9ulj6fqGmQgvbbcM9PNqVt+K/p5yvbBJ8AjEvfR6uxVURERESka2qUEhERERGRfrqE1oX6D/Qhvax7vlWB1wJvoPWeo7Ku+3D3x4Dr0s+3mtmqfchHN/KNHe+oCmRm2wGblsTpm/TE2mXp5+5mtkkXabwATM2lUfqEkpmNAQ5rk1zWXePGZrZcRTqrEOu8yiXpc2ngXW2mV5T1GrJkym/Z9JcGDm2Tzqz0uUSH0y/K1vtmZrZtTbgjSuKIiIiIiCww1CglIiIiIiJ94+530Xpf0VvM7EN14c1sPTM7uCbIJcBT6fvbaHXd9xDw25p4n0ufywMXmNmKNXlYwsyONrMl6/LaKXe/Abgp/TzSzF5TMu0VgDPSzznAaf3MQ8EXgBeJ88ALzGytqoBmNtbM3lYSJsvfEsAZZjaWkY4HtmiTl2zdLQ68r2T644BvA0vVpPF9YjsA+LyZ7VwVsGQ+sieTlgYOLAk/Nk1/jZrpAzycPl9a1bjW0Gm0ujT8lpktX5Kn3YF3pp83uPuNPUxPRERERGRU6J1SIiIiIiLSb0cR3Z6tD3zFzPYDvgf8CZhNvBNnS2BPYFfgx8B5ZQm5+ywzuwgYJp6SWjyNOs/d55TFSfEuM7OvA+8HdgLuNLPTgauJ9ystA2wI7Ai8kehG7uyu57jakcD1Kd+XmdnJREPbM0RXbB8jlhPAiYN8/5W732FmHwFOIp7M+qOZfQv4NfBPYElgPLAd8c6l1YnGpQdzaVxiZpcA+6ThGjM7iWjkeSmxng4iGuPqur67FLgfWBf4bHoq6iLiyaPNgGOJ5XMd8KqK+ZllZocCVxKNS780s3OAi1OelwD+C3gdsC9zP830f8AJ6b+zzGwr4BdEF4ebEQ1lE4FrqO/u8Pfpcwxwelq/03N5/FtN3Py83GFmXwGOI/aNW8zsi0R3mMsQy/pYYCzwHPDuJumKiIiIiMxvzL3nLrBFRERERGQRYmbDwFnp53ruPq0kzMuIC/87NkjyLHev695uN6LBIG+Cu9/WJp8GfCIN7W7IewZY1d2zdyZhZkPAb9LPXdx9aps0qvKxO/H02IinX3JOBY4ta2hrsrw7zM+RwNdodYNY5Tlgs2LDSnoi6HKqG2tuJbqZuzn9Ptzdp5TkYwfg50SjS9GLwIeAlYBPAbi7lU3MzPYgGjVr309VjG9mhxNPQ1X1IHI+cCatbvJGbAOp679rqG44s1zYqcDOwG/dfahkPsYAJwPvrZmNfwEHuvuVJfGHaLi9mll2IeDT7j65ZnoiIiIiIn2l7vtERERERKTv3P0Rd98JeD3x7qd7gWeB54HHiCdMvgLsXNcglfyaVjdpAH9u1yCV8uDu/hlgY+BLxNM7TxANHk8Df055OwxYPd8g1U+pAWFD4smc24juCGcDD6Tp7+jux9Q9+dXn/JxJPJ31KaJBZTrwAtEwdzdwIfAeYM2yJ33c/WlgiHia6EZgJrE8byO67ns1sZzb5eNq4mmkc4B/ENvGw2n6O7n7NxrOzxVpfv6b2K4eJ9bxU8AtRAPciPc0uftZRKPpxcQ2mU3/58BB7v6WlE7dtOcAuxPdRd5OLIuu7vx09znufjTxZN+5xPYxO83HbcT2s1FZg5SIiIiIyIJCT0qJiIiIiIiIiIiIiIjIwOlJKRERERERERERERERERk4NUqJiIiIiIiIiIiIiIjIwKlRSkRERERERERERERERAZOjVIiIiIiIiIiIiIiIiIycGqUEhERERERERERERERkYFTo5SIiIiIiIiIiIiIiIgMnBqlREREREREREREREREZODUKCUiIiIiIiIiIiIiIiIDp0YpERERERERERERERERGTg1SomIiIiIiIiIiIiIiMjAqVFKREREREREREREREREBk6NUiIiIiIiIiIiIiIiIjJwapQSERERERERERERERGRgVOjlIiIiIiIiIiIiIiIiAycGqVERERERERERERERERk4NQoJSIiIiIiIiIiIiIiIgOnRikREREREREREREREREZODVKiYiIiIiIiIiIiIiIyMCpUUpEREREREREREREREQGTo1SIiIiIiIiIiIiIiIiMnBqlBIREREREREREREREZGBU6OUiIiIiIiIiIiIiIiIDJwapURERERERERERERERGTg1CglIiIiIiIiIiIiIiIiA6dGKRERERERERERERERERm4/w+l/7Ah4S/RGAAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x800 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,4),dpi=200)\n",
|
|
"# Paired would be a good choice if there was a distinct jump from 0 and 1 to 2 and 3\n",
|
|
"sns.countplot(x='level of education',data=df,hue='training level',palette='Paired')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# barplot()\n",
|
|
"\n",
|
|
"So far we've seen the y axis default to a count (similar to a .groupby(x_axis).count() call in pandas). We can expand our visualizations by specifying a specific continuous feature for the y-axis. Keep in mind, you should be careful with these plots, as they may imply a relationship continuity along the y axis where there is none."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='salary'>"
|
|
]
|
|
},
|
|
"execution_count": 9,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 2000x1200 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(10,6),dpi=200)\n",
|
|
"# By default barplot() will show the mean\n",
|
|
"# Information on the black bar: https://stackoverflow.com/questions/58362473/what-does-black-lines-on-a-seaborn-barplot-mean\n",
|
|
"sns.barplot(x='level of education',y='salary',data=df,estimator=np.mean,ci='sd')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='level of education', ylabel='salary'>"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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KlMLlY445ptgx699+++1y64MHD2bw4MEr5bvrrrsKl4vOArMpMTCXtFpewCtJ0vpnYC5JkiqUG3/zj1Llm/flgsLH1ZU5488Hr3J7PmjQoMFyPdjrYsXedG0YXvwpSZIk5QF7zKVysj7GbTsWXJKkjZeBuVRO1se4bceCSxWT/3RLmwYDc0lS3jAALZ7/dEubBseYb6QGDhxI3759GThwYHk3RZLKzLIAdNasWeXdFKnCuOGGG2jcuDHHH38833//Pfvuuy+tWrVi+PDhnHTSSUybNq28m7hatWrVAuCzzz7jyCOPLOfWrD/2mG+k7D2RJCl/dRzSsUzre/nMl9e67M0338yzzz5L/fr1efXVVwGYNGkSQLHzjuezHXbYodi7hVYU9phLkiRVANdddx3NmjWjWbNmhTcGOvXUU/nwww/Zf//9ufrqq+nTpw/jxo2jVatW/Oc//6Fr166MHz8egKeeeorWrVvTsmVLunfvDsCCBQsYMGAA7du3Z4899uDxxx9fab+ff/45Xbp0oVWrVjRr1owXX3wR+LGXG2DEiBH0798fgP79+3PqqafStm1bdt11V5544gkgd4OhQw45hK5du9KoUSMuv/zylfY1ffp0mjVrBsCSJUs4//zzadeuHS1atOBvf/vbKtuzMbDHXJIkaSM3YcIE/v73v/Paa6+RUmLPPfdkn3324dZbb+Wpp57i+eefp27duuy5555ce+21hcHwMrNnz+bkk0/mhRdeoGHDhsyZMweAK664gm7dujF06FDmzZtH+/bt2XfffalZs2Zh2fvuu4+ePXty0UUXsWTJEhYuXLja9k6fPp3XX3+d//znP/z85z/ngw8+AHJ3/JwyZQqbb7457dq148ADD6Rt27bF1nHnnXdSp04dxo0bx/fff0/Hjh3p0aMHjzzyyBq3J18YmEvaKGyqNwyRNjZewFs+XnrpJQ477LDCgPnwww/nxRdfZI899ihV+VdffZUuXbrQsGFDALbeemsAnnnmGUaOHMm1114LwKJFi5gxYwaNGzcuLNuuXTsGDBjA4sWLOfTQQ2nVqtVq93f00UdTqVIlGjVqxC677MI777wDwH777cc222xTeAwvvfRSiYH5M888w+TJkwuHtsyfP5/3339/rdqTLwzMJUlSmfEaqIolpcTDDz/MbrvtVmKeLl268MILL/DPf/6T/v37c+6559K3b18iojDPokWLlitTdFvR9ZLSS2rbkCFD6Nmz50rbimvPxsAx5pIkSRu5zp0789hjj7Fw4UIWLFjAo48+SufOnUtdvkOHDrzwwgt89NFHAIVDWXr27MmQIUNIKQHwxhtvrFT2448/ZrvttuPkk0/mpJNOYuLEiQBst912vP322yxdupRHH310uTIPPfQQS5cu5T//+Q8ffvhhYeA/atQo5syZw3fffcdjjz1Gx44lX0Tbs2dPbrnlFhYvXgzAe++9x4IFC0psz8bAHnNJkqSNXOvWrenfvz/t27cH4KSTTir1MBaAevXqcdttt3H44YezdOlStt12W0aNGsXvf/97zj77bFq0aMHSpUtp2LDhSuPTx4wZwzXXXEPVqlWpVasWw4YNA+Cqq67ioIMOol69erRt25Zvv/22sMzOO+9M+/bt+frrr7n11lupUaMGAO3bt+eII45g5syZ9OnTp8RhLMuOcfr06bRu3ZqUEvXq1eOxxx4rsT0bAwNzSZKkMrYu0xuurXPPPZdzzz13pfTp06cXLnft2pWuXbsWro8ZM6Zwef/992f//fdfruxmm21WONtJSfr160e/fv1WSj/yyCNLnHN833335dZbb10pvX79+jz22GMrpS8L6hs0aMCUKVMAqFSpEldeeSVXXnllqdqzMXAoiyRJkpQH7DGXJEnSBnPXXXcVm96/f//Cuc43VfaYS5IkSXlgvQXmETE0Ir6IiClF0raOiFER8X72uFWWHhFxQ0R8EBGTI6J1kTL9svzvR0S/IultIuKtrMwNkc2nU9I+JEmSpHy2PnvM7wJ6rZB2IfBcSqkR8Fy2DrA/0Cj7OwW4BXJBNnApsCfQHri0SKB9C3BykXK9VrMPSZIkKW+ttzHmKaUXIqLBCsmHAF2z5buBMcAFWfqwlJsk89WI2DIits/yjkopzQGIiFFAr4gYA2yRUno1Sx8GHAr8axX7UCl4xzap4vF9LUkbhw198ed2KaXPs+VZwHbZ8o7AJ0XyzczSVpU+s5j0Ve2j3GxMX4resU2qeNbX+3pj+myTtGFMmjSJzz77jAMOOGCt65g+fToHHXRQ4bSIZaFWrVrLzaOer8ptVpaUUoqIVJ77iIhTyA2dYeedd15v7TDYlVQR+dkmlezfXfYp0/r2eeHfZVrf+jJp0iTGjx+/RoF5QUEBVaqUXUha1vUVZ8mSJVSuXLnM693Qs7L8NxuiQvb4RZb+KbBTkXz1s7RVpdcvJn1V+1hJSum2lFLblFLbevXqrfVBSZIklbdhw4bRokULWrZsyQknnADkep+7detGixYt6N69OzNmzAByUxOedtppdOjQgV122YUxY8YwYMAAGjduvNyUhbVq1eKcc86hadOmdO/endmzZwO5GxWNHz8egC+//JIGDRrwww8/cMkllzB8+HBatWrF8OHDWbBgAQMGDKB9+/bssccePP7440BuysTevXvTrVs3unfvvtKxLFmyhJNPPpmmTZvSo0cPvvvuOwBuv/122rVrR8uWLTniiCNYuHBh4fGceuqp7LnnngwcOJCPPvqIvfbai+bNm3PxxRcX1vurX/2KkSNHAnDYYYcxYMAAAIYOHcpFF10EwKGHHkqbNm1o2rQpt91223LPxW9+8xtatmzJ2LFjueeee2jfvj2tWrXil7/8JUuWLFnHV3DD95iPBPoBV2WPjxdJPyMiHiB3oef8lNLnEfE0cGWRCz57AL9NKc2JiK8jogPwGtAXGLKafWgjceNv/lGqfPO+XFD4uLoyZ/z54HVulyRJ+Wrq1KkMHjyYV155hbp16zJnzhwAzjzzzMI7YQ4dOpSzzjqr8M6ac+fOZezYsYwcOZLevXvz8ssvc8cdd9CuXTsmTZpEq1atWLBgAW3btuX6669n0KBBXH755dx4443FtqFatWoMGjSI8ePHF+b53e9+R7du3Rg6dCjz5s2jffv27LvvvgBMnDiRyZMns/XWW69U1/vvv8/999/P7bffztFHH83DDz9Mnz59OPzwwzn55JMBuPjii7nzzjs588wzAZg5cyavvPIKlStXpnfv3px22mn07duXm266qbDezp078+KLL9K7d28+/fRTPv88N/r5xRdf5NhjjwVyQfrWW2/Nd999R7t27TjiiCPYZpttWLBgAXvuuSd//vOfefvtt7n66qt5+eWXqVq1Kqeffjr33nsvffv2XafXcX1Ol3g/MBbYLSJmRsSJ5ILl/SLifWDfbB3gSeBD4APgduB0gOyizz8A47K/QcsuBM3y3JGV+Q+5Cz9ZxT4kSZIqpNGjR3PUUUdRt25dgMJgd+zYsfziF78A4IQTTuCll14qLHPwwQcTETRv3pztttuO5s2bU6lSJZo2bcr06dOB3G3vjznmGAD69OmzXPnSeOaZZ7jqqqto1aoVXbt2ZdGiRYW99vvtt1+xQTlAw4YNadWqFQBt2rQpbM+UKVPo3LkzzZs3595772Xq1KmFZY466qjC4SUvv/wyxx13XOFxL7MsMJ82bRpNmjRhu+224/PPP2fs2LHsvffeANxwww20bNmSDh068Mknn/D+++8DULlyZY444ggAnnvuOSZMmEC7du1o1aoVzz33HB9++OEaPTfFWZ+zshxXwqaVfq/IZmP5VQn1DAWGFpM+HmhWTPpXxe1DklTx+AubtPaqV68O5ILvZcvL1gsKCootk902hipVqrB06VIAFi1aVOI+Uko8/PDD7Lbbbsulv/baa9SsWXO1bYNcQLxsKEv//v157LHHaNmyJXfddRdjxowpzLdifcvaWtSOO+7IvHnzeOqpp+jSpQtz5szhwQcfpFatWtSuXZsxY8bw7LPPMnbsWDbffPPCfyYAatSoURj4p5To168ff/zjH0s8hrXhnT8lSdImqWa1LahZfUtqVtuivJuyzrp168ZDDz3EV199BVA4lGXvvffmgQceAODee++lc+fOa1Tv0qVLGTFiBAD33XcfnTp1AqBBgwZMmDABoHA7QO3atfnmm28K13v27MmQIUPI9cHCG2+8sTaHV+ibb75h++23Z/Hixdx7770l5uvYseNyx11Uhw4d+Mtf/kKXLl3o3Lkz1157beHzMn/+fLbaais233xz3nnnHV599dVi6+/evTsjRozgiy9ylzLOmTOHjz/+eJ2ODQzMJUnSJqrj/xxOj8b96fg/h5d3U9ZZ06ZNueiii9hnn31o2bIl5557LgBDhgzh73//Oy1atOD//u//+Otf/7pG9dasWZPXX3+dZs2aMXr0aC655BIAzjvvPG655Rb22GMPvvzyy8L8P//5z5k2bVrhxZ+///3vWbx4MS1atKBp06b8/ve/X6fj/MMf/sCee+5Jx44d2X333UvM99e//pWbbrqJ5s2brzR7VOfOnSkoKOBnP/sZrVu3Zs6cOYWBea9evSgoKKBx48ZceOGFdOjQodj6mzRpwuDBg+nRowctWrRgv/32Kxyvvi7KbbpESZKkiqo8pjdcdpFnUT/96U8ZPXr0SnnvuuuuwuUGDRosN2d40W0A11133Urld999dyZPnly4PnjwYCA3tn3cuHHL5f3b3/62Uvn+/fsvN/tLUSu257zzzitcPu200zjttNNWeTyQG6M+duzYldoHcOKJJ3LiiScCULVqVRYsWFC4rXr16vzrX/+iOCvOg37MMccUjr8vKwbmkiRVMDMGNV9tnoI5WwNVKJjzcany73zJW2XQMkmrYmAuSZKkYpXH3TK/eeed9VJv7VUMfckXjjGXJEmS8oCBuSRJkpQHHMoiSXlk4MCBzJo1i5/85Cf86U9/Ku/mSJI2IANzScojs2bNWmlqL0nSpsHAXFKZ+3eXfVab57sqlSGC72bOLFV+2p23+jySpHI1adIkPvvsMw444IANts9Xxo/n7Msuo2rVqlx3ySXM+/preu5Tiu+VPGRgLkmSVMZu/M0/yrS+M/58cJnWt75MmjSJ8ePHr1FgXlBQQJUqax+SPvjEE5x7yikc27s39z76KBOnTCnTwHxd27cmvPhTkiSpAhg2bBgtWrSgZcuWnHDCCQBMnz6dbt260aJFC7p3786MGTOA3A1+TjvtNDp06MAuu+zCmDFjGDBgAI0bN17uxj+1atXinHPOoWnTpnTv3p3Zs2cD0LVrV8aPHw/Al19+SYMGDfjhhx+45JJLGD58eOGdPxcsWMCAAQNo3749e+yxB48//jiQuyFQ79696datG927d1/uOBYsXMiRv/wlex96KHsefDAPP/kkAGPGjqXT4YfToXdvTr/oIr7/4QfufughHnnqKa644Qb+9ze/4YohQ3jkX/+i42GH8fCTT9Khd2/mff01KSW22WYbhg0bBkDfvn0ZNWoU06dPp3PnzrRu3ZrWrVvzyiuv5PY1ZgydO3emd+/eNGnShCVLlnD++efTrl07WrRoUexNk8qCPeaSJEkbualTpzJ48GBeeeUV6taty5w5cwA488wzC+8IOnToUM466ywee+wxAObOncvYsWMZOXIkvXv35uWXX+aOO+6gXbt2TJo0iVatWrFgwQLatm3L9ddfz6BBg7j88su58cYbi21DtWrVGDRoEOPHjy/M87vf/Y5u3boxdOhQ5s2bR/v27dl3330BmDhxIpMnT2brrbderp5nX3qJ7bfdlhFZ8Dv/m29Y9P33nPa73zFy6FAaNWzIKRdcwB3338+v+vVj7MSJ9OralUN79izsMf/z738PwIuvv86rEyey8w47sMsuu/Diiy/St29fxo4dyy233EJEMGrUKGrUqMH777/PcccdV/gPx8SJE5kyZQoNGzbktttuo06dOowbN47vv/+ejh070qNHDxo2bFimr6OBuSRJKhelur4Er0kpjdGjR3PUUUdRt25dgMJgd+zYsTzyyCMAnHDCCQwcOLCwzMEHH0xE0Lx5c7bbbjuaN8/dAbZp06ZMnz6dVq1aUalSpcLbzvfp04fDDz98jdr1zDPPMHLkSK699loAFi1aVNhrv99++60UlAM0adSIi66+mkuuvZZeXbuyd9u2vPXOO/x0xx1plAXCvzj0UG6/7z5+1a/fKve/V5s2vDJ+PJ/ssAOnnXYat912G59++ilbbbUVNWvWZP78+ZxxxhlMmjSJypUr89577xWWbd++fWHg/cwzzzB58mRGjBgBwPz583n//fcNzCWVnY5DOpYqX7V51ahEJT6Z90mpylzpR4tUKm3OH1aqfLW//IbKwIwvvylVmUdrr2PDlHemffLlKrfPmvstX369cKV8S5Ympn3yJS132X6lMtWrVwegUqVKhcvL1gsKCordT0QAUKVKFZYuXQrkgu2SpJR4+OGH2W233ZZLf+2116hZs2axZRo1bMgLDz/MMy+8wB/++lf26dCBA1cY7lJaHdu25fb77mOnzz/nT/378+ijjzJixAg6d+4MwPXXX892223Hm2++ydKlS6lRo0Zh2aLtSykxZMgQevbsuVbtKC2/PbVOnH1DkqTyt+fenTnrlH70O/k0ttxqa+bNm8uWW25Fqzbt+NfIR2l59unce++9hQFpaS1dupQRI0Zw7LHHct9999GpUycAGjRowIQJE9jip1tw99/vZvGSxbzz33f4esnXzPxiJu/89x0A2nZqy6CrB3HxlRcTEUx7axpNmjfh8/mfM3fh3MJ8RVX64gu2qlOHY3v3pk7t2gx7+GHOPukkZnz2Gf/5+GP+56c/5YGRI+nYrt1KZWvVrMm3CxYUrtfffnu+mjuXxYsXs8suu9CpUyeuvfbawqE28+fPp379+lSqVIm7776bJUuWFPs89OzZk1tuuYVu3bpRtWpV3nvvPXbccccS/7lYWwbm0kZixqDmq81TMGdroAoFcz4uVX622mLdGyZJKnc/2213TjnjHPoddQiVKlemcdNmXHndjVw06I9cdN5Z3Df0VurVq8ff//73Naq3Zs2avP766wwePJhtt92W4cOHA3Deeedx9NFHM+TmIXTZt0th/vYd23P7kNs5rPthnHzmyZx2zmn88ZI/csjPD2Hp0qXU37k+t95z6yr3OfW99/j9NddQqVIlqlSpwvWXXkqN6tW5+Yor6HfOORQUFNC6eXNOPPbYlcp2bt+e626/nY6HHca5J5/MEQccQNsWLViS9e537tyZ3/72t4X/YJx++ukcccQRDBs2jF69epUYaJ900klMnz6d1q1bk1KiXr16hWP1y5KBuSRJUhlbl+kNVzdspSSHHnUshx61fLC6Q/2d+PsDj9Jkp7rLpd91112Fyw0aNGDKlCnFbgO47rrrVtrX7rvvzuTJkwt7vM++8GwAttxqSx56+qHl8l5+zeUrlT/s2MM47NjDij2OfTt1Yt8scC6q61578VI2Xr6oW//4x8Llrbfckn8/tPz+by9yF+W99967cAgOQKNGjZg8eXLh+tVXX53bV9eudO3atTC9UqVKXHnllVx55ZXFtrmsOF2iJEmSlAfsMZckrXfOviFtnL799tvybsImxR5zSZIkKQ8YmEuSJJWBlFJ5N0F5Zk3PCQNzSZKkdVSjRg2++uorg3MVSinx1VdfLTc3+uo4xlwqY94wRJI2PfXr12fmzJnMnj17neuaNbfsx3XHt+veruLM+npWmdf53cIyrxKAGuXwT1ONGjWoX79+qfMbmOeh9TFf9c6XvFUGLZMkScWpWrVqmd2evU8pO3jWxIRr+pZ5nQAnDTmpzOu88qH1E57u8cK/10u9ZcmhLJIkSVIeMDCXJEmS8oBDWSRVKDWrbbHco6Sy0XFIx1LlqzavGpWoxCfzPlltmSsNQ6Tl+I6QVKF0/J/Dy7sJkiStFYeySJIkSXnAwFySJEnKAw5l2USsj7GB4PhASZKksmKPuSRJkpQH7O6UJFV4ztYjaWNgYC5JqvCcrUfSxsDAXJI2YjMGNV9tnoI5WwNVKJjzcany73zJW2XQMknSmjIwXwdtzh9Wqny1v/yGysCML78pVZlHa69jwyRJkrTR8eJPSZIkKQ8YmEuSJEl5wKEs2mg5y4IkSapIDMy10XKWBUmSVJE4lEWSJEnKA/aYS5KW03FIx1LlqzavGpWoxCfzPlltmSv9upGk1SqXHvOIOCcipkbElIi4PyJqRETDiHgtIj6IiOERUS3LWz1b/yDb3qBIPb/N0t+NiJ5F0ntlaR9ExIXlcIiSJEnSGtnggXlE7AicBbRNKTUDKgPHAlcD16eUfgbMBU7MipwIzM3Sr8/yERFNsnJNgV7AzRFROSIqAzcB+wNNgOOyvJIkSVLeKq8x5lWAzSKiCrA58DnQDRiRbb8bODRbPiRbJ9vePSIiS38gpfR9Sukj4AOgffb3QUrpw5TSD8ADWV5JkpSpW2Mp221WQN0aS8u7KZIyG3zQX0rp04i4FpgBfAc8A0wA5qWUCrJsM4Eds+UdgU+ysgURMR/YJkt/tUjVRct8skL6nsW1JSJOAU4B2HnnndftwCRJ2oic12JeeTdB0grKYyjLVuR6sBsCOwA1yQ1F2eBSSrellNqmlNrWq1evPJogSZIkAeUzlGVf4KOU0uyU0mLgEaAjsGU2tAWgPvBptvwpsBNAtr0O8FXR9BXKlJQuSZIk5a3yCMxnAB0iYvNsrHh3YBrwPHBklqcf8Hi2PDJbJ9s+OqWUsvRjs1lbGgKNgNeBcUCjbJaXauQuEB25AY5LkiRJWmvlMcb8tYgYAUwECoA3gNuAfwIPRMTgLO3OrMidwP9FxAfAHHKBNimlqRHxILmgvgD4VUppCUBEnAE8TW7Gl6Eppakb6vgkSZKktVEud3xIKV0KXLpC8ofkZlRZMe8i4KgS6rkCuKKY9CeBJ9e9pZJUNtqcP6xU+Wp/+Q2VgRlfflOqMo/WXseGaaOwtFrN5R4lVUzeik2SpDy3oFGP8m6CpA2gvOYxlyRJklSEPeaSysWWKS33KEnSps7AXNJqpc0TS1lK2rzsgug+S7zboCRJRRmYSxVI7tbaZX+L7cUdF5dpfZIkaWUG5lIF4i22JUnaeHnxpyRJkpQHDMwlSZKkPOBQFklS3nC2HkmbMgNzSVLecLYeSZsyh7JIkiRJecAec613/jQtSZK0egbmWu/8aVqStC7s4NGmwsBckiTlNTt4tKlwjLkkSZKUBwzMJUmSpDxgYC5JkiTlAceYazlp88RSlpI29wIbSZKkDcnAfCNVt8ZSoCB7LDuLOy4u0/pUsqXVai73KEmSNm0G5hup81rMK+8maB0taNSjvJsgSWXOX16ltWdgLkmSyoy/vEprz4s/JUmSpDxQqsA8Iiqv74ZIkiRJm7LS9pi/HxHXREST9doaSZIkaRNV2sC8JfAecEdEvBoRp0TEFuuxXZIkSdImpVSBeUrpm5TS7SmlvYELgEuBzyPi7oj42XptoSRJkrQJKNWsLNkY8wOB/wUaAH8G7gU6A08Cu66n9kmS1tH6uu+BJKlslXa6xPeB54FrUkqvFEkfERFdyr5ZFYs3kpFUnrzvgSRtHFYbmGe95XellAYVtz2ldFaZt6qC8UYykiRJWp3VjjFPKS0BDtoAbZEkSZI2WaUdyvJyRNwIDAcWLEtMKU1cL62SJEmSNjGlDcxbZY9Fh7MkoFuZtkaSJEnaRJUqME8p/Xx9N0SSJEnalJW2x5yIOBBoCtRYllbSBaGSJEmS1kypbjAUEbcCxwBnAgEcBfx0PbZLkiRJ2qSUKjAH9k4p9QXmppQuB/bCmwpJkiRJZaa0gfl32ePCiNgBWAxsv36aJEmSJG16SjvG/ImI2BK4BphIbkaWO9ZXoyRJkqRNTWlnZflDtvhwRDwB1EgpzV9/zZIk5bu0eWIpS0mbp/JuiiRVCKsMzCPi8FVsI6X0SNk3SZK0MVjccXF5N0GSKpTV9ZgfvIptCTAwlyRJksrAKgPzlNL/bqiGSJIkSZuy0s7KQkQcGBEDI+KSZX9ru9OI2DIiRkTEOxHxdkTsFRFbR8SoiHg/e9wqyxsRcUNEfBARkyOidZF6+mX534+IfkXS20TEW1mZGyIi1ratkiRJ0oZQXjcY+ivwVEppd6Al8DZwIfBcSqkR8Fy2DrA/0Cj7OwW4JWvT1sClwJ5Ae+DSZcF8lufkIuV6rUNbJUmSpPVug99gKCLqAF2AOwFSSj+klOYBhwB3Z9nuBg7Nlg8BhqWcV4EtI2J7oCcwKqU0J6U0FxgF9Mq2bZFSejWllIBhReqSpLy2tFpNllTfgqXVapZ3UyRJG1hp5zFflD0uu8HQHNb+BkMNgdnA3yOiJTAB+DWwXUrp8yzPLGC7bHlH4JMi5WdmaatKn1lM+koi4hRyvfDsvPPOa3k4klR2FjTqUd5NkCSVk9L2mP9jhRsMfQTct5b7rAK0Bm5JKe0BLODHYSsAZD3d631i3JTSbSmltimltvXq1Vvfu5MkSZJKVNrA/B1gSUrpYeAm4FXgsbXc50xgZkrptWx9BLlA/b/ZMBSyxy+y7Z8COxUpXz9LW1V6/WLSJUmSpLxV2sD89ymlbyKiE9ANuIPsIsw1lVKaBXwSEbtlSd2BacBIYNnMKv2Ax7PlkUDfbHaWDsD8bMjL00CPiNgqu+izB/B0tu3riOiQzcbSt0hdkiRJUl4q7RjzJdnjgcDtKaV/RsTgddjvmcC9EVEN+BD4X3L/JDwYEScCHwNHZ3mfBA4APgAWZnlJKc2JiD8A47J8g1JKc7Ll04G7gM2Af2V/kiRJUt4qbWD+aUT8DdgPuDoiqrMGc6CvKKU0CWhbzKbuxeRNwK9KqGcoMLSY9PFAs7VtnyRJkrShlTa4Pprc0JGe2dSGWwPnr69GSZIkSZuaUvWYp5QWAo8UWf8c+LzkEpIkSZLWxFoPR5EkSZJUdgzMJUmSpDxgYC5JkiTlAQNzSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh4wMJckSZLygIG5JEmSlAcMzCVJkqQ8YGAuSZIk5QEDc0mSJCkPGJhLkiRJecDAXJIkScoDBuaSJElSHjAwlyRJkvKAgbkkSZKUBwzMJUmSpDxgYC5JkiTlAQNzSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh4wMJckSZLyQLkF5hFROSLeiIgnsvWGEfFaRHwQEcMjolqWXj1b/yDb3qBIHb/N0t+NiJ5F0ntlaR9ExIUb/OAkSZKkNVSePea/Bt4usn41cH1K6WfAXODELP1EYG6Wfn2Wj4hoAhwLNAV6ATdnwX5l4CZgf6AJcFyWV5IkScpb5RKYR0R94EDgjmw9gG7AiCzL3cCh2fIh2TrZ9u5Z/kOAB1JK36eUPgI+ANpnfx+klD5MKf0APJDllSRJkvJWefWY/wUYCCzN1rcB5qWUCrL1mcCO2fKOwCcA2fb5Wf7C9BXKlJS+kog4JSLGR8T42bNnr+MhSZIkSWtvgwfmEXEQ8EVKacKG3veKUkq3pZTappTa1qtXr7ybI0mSpE1YlXLYZ0egd0QcANQAtgD+CmwZEVWyXvH6wKdZ/k+BnYCZEVEFqAN8VSR9maJlSkqXJEmS8tIG7zFPKf02pVQ/pdSA3MWbo1NKxwPPA0dm2foBj2fLI7N1su2jU0opSz82m7WlIdAIeB0YBzTKZnmplu1j5AY4NEmSJGmtlUePeUkuAB6IiMHAG8CdWfqdwP9FxAfAHHKBNimlqRHxIDANKAB+lVJaAhARZwBPA5WBoSmlqRv0SCRJkqQ1VK6BeUppDDAmW/6Q3IwqK+ZZBBxVQvkrgCuKSX8SeLIMmypJkiStV975U5IkScoDBuaSJElSHjAwlyRJkvKAgbkkSZKUBwzMJUmSpDxgYC5JkiTlAQNzSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh4wMJckSZLygIG5JEmSlAcMzCVJkqQ8YGAuSZIk5QEDc0mSJCkPGJhLkiRJecDAXJIkScoDBuaSJElSHjAwlyRJkvKAgbkkSZKUBwzMJUmSpDxgYC5JkiTlAQNzSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh7Y4IF5ROwUEc9HxLSImBoRv87St46IURHxfva4VZYeEXFDRHwQEZMjonWRuvpl+d+PiH5F0ttExFtZmRsiIjb0cUqSJElrojx6zAuA36SUmgAdgF9FRBPgQuC5lFIj4LlsHWB/oFH2dwpwC+QCeeBSYE+gPXDpsmA+y3NykXK9NsBxSZIkSWttgwfmKaXPU0oTs+VvgLeBHYFDgLuzbHcDh2bLhwDDUs6rwJYRsT3QExiVUpqTUpoLjAJ6Zdu2SCm9mlJKwLAidUmSJEl5qVzHmEdEA2AP4DVgu5TS59mmWcB22fKOwCdFis3M0laVPrOYdEmSJClvlVtgHhG1gIeBs1NKXxfdlvV0pw3QhlMiYnxEjJ89e/b63p0kSZJUonIJzCOiKrmg/N6U0iNZ8n+zYShkj19k6Z8COxUpXj9LW1V6/WLSV5JSui2l1Dal1LZevXrrdlCSJEnSOiiPWVkCuBN4O6V0XZFNI4FlM6v0Ax4vkt43m52lAzA/G/LyNNAjIrbKLvrsATydbfs6Ijpk++pbpC5JkiQpL1Uph312BE4A3oqISVna74CrgAcj4kTgY+DobNuTwAHAB8BC4H8BUkpzIuIPwLgs36CU0pxs+XTgLmAz4F/ZnyRJkpS3NnhgnlJ6CShpXvHuxeRPwK9KqGsoMLSY9PFAs3VopiRJkrRBeedPSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh4wMJckSZLygIG5JEmSlAcMzCVJkqQ8YGAuSZIk5QEDc0mSJCkPGJhLkiRJecDAXJIkScoDBuaSJElSHjAwlyRJkvKAgbkkSZKUBwzMJUmSpDxgYC5JkiTlAQNzSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOUBA3NJkiQpDxiYS5IkSXnAwFySJEnKAwbmkiRJUh4wMJckSZLygIG5JEmSlAcMzCVJkqQ8YGAuSZIk5QEDc0mSJCkPGJhLkiRJeaDCBuYR0Ssi3o2IDyLiwvJujyRJkrQqFTIwj4jKwE3A/kAT4LiIaFK+rZIkSZJKViEDc6A98EFK6cOU0g/AA8Ah5dwmSZIkqUQVNTDfEfikyPrMLE2SJEnKS5FSKu82lLmIOBLolVI6KVs/AdgzpXTGCvlOAU7JVncD3t2gDc1fdYEvy7sRyjueFyqO54WK43mh4nhe/OinKaV6KyZWKY+WbACfAjsVWa+fpS0npXQbcNuGatTGIiLGp5Talnc7lF88L1QczwsVx/NCxfG8WL2KOpRlHNAoIhpGRDXgWGBkObdJkiRJKlGF7DFPKRVExBnA00BlYGhKaWo5N0uSJEkqUYUMzAFSSk8CT5Z3OzZSDu9RcTwvVBzPCxXH80LF8bxYjQp58ackSZK0samoY8wlSZKkjYqBudZKRPSPiBuz5csi4rzybpOKFxFPRsSWq8nzu1LWNX0t29AgIqasTVmV3qqe54gYFBH7rqZ8mb6XI6JrRDxRRnWNiYhNcjaHsnr/rM3rERF3ZVMQr2mZrmtSpkjZ6RFRd23KquxFxJYRcfpalp2+luU26e8LA3OpgkspHZBSmreabKUKzPNBRFQu7zZsjFJKl6SUni3vdqhiy5f3Z0RU2GvoNrAtgTUKzCMnL+LLfDkf10RePHH6UUTUjIh/RsSbETElIo7J0rtHxBsR8VZEDI2I6ln69Ij4Y0RMiojxEdE6Ip6OiP9ExKlF6j0/IsZFxOSIuLyEffeKiInZvp/L0raOiMeycq9GRIvVtP9/IuKpiJgQES9GxO5F0l/N2j84Ir5dk7ZVJNnzOSEipmY3uSIiKme9TFOy5+icLP2siJiWPTcPZGnFviYRUSsi/p6VnxwRR2TphT1QJez7KmCz7By6N0vrExGvZ2l/K/LhNjvbXux5usJxtsm2vwn8qkh65Yi4pshr/sssvVJE3BwR70TEqMj19B9Z5BiujoiJwFER0SMixmbn60MRUavIPv+dHePTEbF92b56G4XKEXF79ho/ExGbwfI9nxFxQPY8T4iIG2L5XtQmkeud/jAizlqx8lWcqz+LiGez13xiRPxPVqRWRIzI9ndvRESWv6TPtGLTRZXs+Xs7ez43B4iIS7L30pSIuK3I87umr8dq3zureM2We38C84Efsm1XxY+fYdcWU+c22Xk6NSLuAKLItmI/hyLixIh4L9t2e/z46+1dEXFrRLwG/ClK/j6qFxEPZ8/buIjoWDYvUfmKXE/zO9nz8F72+u4bES9HxPsR0T7L1z77/HwjIl6JiN2y9KZFnu/JEdEIuAr4nyztmizfSt/Z2b7fjYhhwBRy95Lx+2JtpJT8y6M/4Ajg9iLrdYAawCfArlnaMODsbHk6cFq2fD0wGagN1AP+m6X3IHcldJD7Z+wJoMsK+62X7aNhtr519jgEuDRb7gZMypb7Azdmy5cB52XLzwGNsuU9gdHZ8hPAcdnyqcC3pW1bRfsr8txuRu4DbBugDTCqSJ4ts8fPgOorpJX0mlwN/KVIHVsVOUfqlrTvbP3bIuUaA/8AqmbrNwN9V3eeFnOck5e9lsA1wJRs+RTg4my5OjAeaAgcSW4mpUrAT4C5wJFFjmFgtlwXeAGoma1fAFwCVAVeAepl6ceQmyq13F/zDXhuNQAKgFbZ+oNAn2z5ruw5XvZ5suy9fj/wRLZ8WfYcVs+e56+WnQdF9lHSufoacFi2XAPYHOhKLkirn72uY4FOlPCZVlJ6tjwGaFvez3E5vq4J6JitD+XHz9yti+T7P+DgtXg9SnzvFHPelPQ9NLCYdm9D7o7ayyaa2LKYPDcAl2TLB2bHWZcSPoeAHbL9bZ21+0V+/C66i9x3SOVsvaTvo/uATtnyzsDb5f0al+F5UgA0z17fCdm5EsAhwGNZvi2AKtnyvsDD2fIQ4PhsuRq574kGZJ/dWXqx39lZvqVAh2La5ffFGvz5U0/+eQv4c0RcTe7L8sWIaAl8lFJ6L8tzN7n/KP+SrY8sUrZWSukb4JuI+D5yY4t7ZH9vZPlqAY3InazLdABeSCl9BJBSmpOldyL3piKlNDrr3diiuIZn/4XuDTyUdcJA7o0EsBdwaLZ8H7Cs56Q0batozoqIw7Llncgd77vALhExBPgn8Ey2fTJwb0Q8BjyWpZX0muxL7mZaZNvmlnLfX62Qpzu54Gtc9jpuBnyxQp6VztOiG7PzbsuU0rLX8f+A/bPlHkCL+HHcap2sHZ2Ah1JKS4FZEfH8Cvscnj12AJoAL2ftq0YuwNgNaAaMytIrA58X8xxUdB+llCZlyxPIfWEWtTvw4bL3OrnA/JQi2/+ZUvoe+D4ivgC2A2YW2f4hK5yrEVEb2DGl9ChASmkRQPY6vJ5SmpmtT8ra8w3Ff6Y9X0L6X9b0SaiAPkkpvZwt3wOcRe5z9OcRMZBc4L01MDUixrBmr8c8Vv/e2Y1VvzbDWdl8YBFwZ+R+lSlufHsX4PCsnf+MiGWfWyV9DrUH/r3sOyoiHgJ2LVLfQymlJav5PtqX3C9Dy9K3iIhaKaVv2fh9lFJ6CyAipgLPpZRSRLzFj58FdYC7sx7xRC5Ihdzn6EURUR94JKX0fpHnaJmSvrNnAB+nlF4tpk1+X6wBA/M8k1J6LyJaAwcAgyM3pOTx1RT7PntcWmR52XoVcv/Z/jGl9Leybu8KKgHzUkqt1qDMhmpbXojcBVH7AnullBZmX6A1Ukpzs3/AepL7ReFoYAC5HqQuwMHkPjCbl/W+i8sK3J1S+m1JdRV3nqaUBpW2KcCZKaWnV2jfAaspt6BI+VEppeNWKN8cmJpS2quU7aioin4GLCEX0KxL+eW+J0o4V3+9tvWp1Fac2zhFRA1yPcltU0qfRMRlFP+eLqq41yNY9/fOghUTUu5mf+3JBdlHAmeQ+5WvNIr9HIqIQ0vZjlV9H1Ui17O7qJRt2ZisGAMUjQ+Wvff+ADyfUjosIhqQ+zWKlNJ9kRsGdCDwZDZs5MMV6i/2OzurZ6VzIKvX74s14BjzPBMROwALU0r3kPs5pzW53tQGEfGzLNsJwL/XoNqngQFFxlXtGBHbrpDnVaBLRDTM8mydpb8IHJ+ldQW+TCl9XdxOsvSPIuKoLH9kX+DL6j8iWz62SLHStK0iqQPMzQLj3cn9N0/kxoBXSik9DFwMtI7cxTM7pZSeJ/fzWx1yvRMlvSajWH5s3lal2XdmcUQs6zV5Djhy2esQuTHtPy1aUQnnaaGUu9h0XkR0ypKOL7L5aeC0ZfuLiF0joibwMnBE5MYObkfuZ/fivAp0XPZ+iNz4xV3JvU/qRcReWXrViGhaQh2bsmW/zjTI1lca77kqxZ2r2a90M5cFTRFRPbIx0KtoQ3Gfaev6WVeR7bzs3AZ+AbzEj0H4l9ln6JEAa/l6rO69s8avTdamOil3w79zgJbFZHshOx4iYn9g2edWSZ9D44B9ImKryF3geUQxda7u++gZ4Mwi7Wy1quOogOoAn2bL/ZclRsQu5H5Nu4Fch2ALcr9u1S5Sdo2/s/2+WDP2XOSf5sA1EbEUWExu/PiiiPhfcj/JVSH3wXRraStMKT0TEY2BsdlPNt8CfSgyPCGlNDtyFwM+kgWEXwD7kRtzOjQiJgMLgX6r2d3xwC0RcTG5n8ceAN4kN370noi4CHiK3E+cpWpbBfMUcGpEvE3ug2HZz347An+PH69k/y25n9buiYg65P7rvyGlNC/rFSvuNRkM3BS5aaaWAJcDj5Ri35AbMzg5IiamlI7PXr9nsvYsJhfwf1wk/0rnaTHH+r9ZOxM/Ds0BuIPcT6oTI/eizyY3zOlhcj1r08iNZZ1Idp4UlZ2r/YH748cLAy/OemWOBG7InrMq5H5mn1pM2zZZKaXvIjf92VMRsYDc58maKO5chVyg9reIGETunDhqFW0o9jMtpfT9unzWVXDvAr+KiKHk3iO3ZP9k307uepFZLP9arsnr8cPq3jtr+T1UG3g8cj37AZxbTJ7Lyb2Xp5Ib8zsj29+04j6HUkqvRsSVwOvAHOAdivmcyJT0fXQWuc/KydmxvkDu159NxZ/IDWW5mNxwtGWOBk6IiMXkzqcrU0pzInfx6BTgXyml80v4zl6yiv35fbEGvPOnNoist+a7bKzbseQuBD2kvNul/BLZOM+I2IbcF2/HlNKs8m5XRVPkeQ7gJuD9lNL15d0uqTSKnL9VgEfJXbT3aHm3SxtWRf2+sMdcG0ob4MYsEJhHbvy0tKInInchUDXgDxXhQzZPnRwR/cg9z28Am8Q1HqowLovczbJqkOtdfax8m6NyUiG/L+wxlyRJkvKAF39KkiRJecDAXJIkScoDBuaSJElSHjAwl6Q8EhFlfvfBNa0zIs6KiLcj4t613N9d8eOd+spERJwdRebijognswu/JKnCMDCXJK3odGC/lNLxq8254ZxN7rbzAKSUDshuTCJJFYaBuSTlqYg4PyLGRcTkiLg8S7sqIore4fWyiDivpPyrqf/ciJiS/Z2dpd0K7AL8KyLOWSF/5Yi4psg+fpmlR0TcGBHvRsSzwLZFykyP3N1CiYi2ETEmW64VEX+PiLeyuo7I0m+JiPERMbXIMZ8F7AA8HxHPF1NvccfRIOv1vz2r65mI2GxNXwNJ2pCcx1yS8lBE9AAaAe3J3TVxZER0AYaTu0PdTVnWo4GeJeVPKb1QQv1tyN1tb88s/2sR8e+U0qkR0Qv4eUrpyxWKnQjMTym1y+6i93JEPAPsAewGNAG2I3c3vqGrOcTfZ3U1z9qz7FbsF2V3G6wMPBcRLVJKN0TEucW1qaTjAOZmz8dxKaWTI+JBcrdvv2c17ZKkcmOPuSTlpx7Z3xvkbje9O9AopfQGsG1E7BARLYG5KaVPSsq/ivo7AY+mlBaklL4FHgE6l6JNfSNiEvAasE22jy7A/SmlJSmlz4DRpTi+ffnxnwtSSnOzxaMjYmJ2HE3JBfursqrj+CilNClbnkDu1t6SlLfsMZek/BTAH1NKxd2V8yHgSOAn5HrQV5e/LNt0Zkrp6eUSIw5YRZkCfuwEqrHKyiMaAucB7VJKcyPirtWVWY3viywvARzKIimv2WMuSfnpaWBARNQCiIgdI2LZ2O3hwLHkgvOHSpG/OC8Ch0bE5hFREzgsS1tdm06LiKrZPnbNyr4AHJONQd8e+HmRMtOBNtnyEUXSRwFFx8pvBWwBLADmR8R2wP5F8n8D1C6j45CkvGSPuSTloZTSMxHRGBgbEQDfAn2AL1JKUyOiNvBpSunz1eUvof6JWY/061nSHdkwmVW5g9xwkImR28ls4FDgUaAbubHlM4CxRcpcDtwZEX8AxhRJHwzcFBFTyPVmX55SeiQi3gDeAT4BXi6S/zbgqYj4LKVUGPiXdBwR0WA1xyJJeSdSSuXdBkmSJGmT51AWSZIkKQ8YmEuSJEl5wMBckiRJygMG5pIkSVIeMDCXJEmS8oCBuSRJkpQHDMwlSZKkPGBgLkmSJOWB/wfGkk7jk0P5lwAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<Figure size 864x432 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(12,6))\n",
|
|
"sns.barplot(x='level of education',y='salary',data=df,estimator=np.mean,ci='sd',hue='division')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x21fa0b503c8>"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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7UlFZ4V+iXTnbQgHm0NhDl+m3H+QlKlteFeqyO5L9Y2eWUYetVSznbklvl5FW5lgiqNB78r4cXiav+0OUvC4hcZLknPvOzA6R1+XqJEmvm9lU59yfnHMrzBub6yR5XTGeknSTmfWs5LErfc/5Xwyn+MuFknLkfbmeEqprOUKvhTPktSAKV+YEA865f5jZFH+fUyTdZmY3OueeqGx9y6jDanmtqiJtqmJZ2yLWk+X94/mb8ZvkXaPdeS/A7osMdoS/L1dXuaH3/zLLreg1q8q95so6BysrI/ZdlXxP3d37Jfy7SHV87pcl8r1w50rwPn6gK+u+3LHNOefMGx4ySpLM7Hx5XV1vlBfw2iLpJnldU0P7XGLeuL+9JZ0n6X4zO9k592U5dajsPbOre3mLmXX1yzlF0nBJ95jZEc65TRXtW4Hq/C4dXv/K3Ku7ut8BYI8giIcq8X8JnyFphpkNlxc0+YNzbqR5Axsfq19/AZe/Xt4vXpU5XrZfbgvn3MuV3G2RvC/sJ8rrahhpvqQBZpYU1sLiWHljPi2sRPmz5P0i38A593k5eRZKOiJiW+T6d/LG41lciWOiAmZWV96vrZeFnhMz6xGZzzmXK+k1Sa+ZN5jyZDOr47zZY/PkBQLfM7Mn5XWR6CjvfomR9wX4i4jjzfOL/kHe/XZ3JarbTl533Fudcyv88rpF5Am1bIgO2zZPXrCumXPuM1WSf4ynJT1tZg/I+0Ja1j9/C+SdZ6akb/x6tZVUOyzPd/K67hQ7534u55Che39C2LbIe78s38n7Z2Kt/zxF2rwb7wXYOxZK+ouZxbtfZ6ytzHO+S+W9ZuW95g4ysza7aI1XbrmV+Mz6vZ8VqD5HRqwfJWmR/+NiZd5Tf5B0sZnF7qI1Xnkq87kfab68++XFsG3H6tfPjUrjfRxVcKy87p5PhTZYxAQukuScmyXvvn7AzLIk9ZPXjbpQO3/3kCp3z1SKc65YXhfYqWZ2r7wgYC+VHYSbr7Jf+5F1K/e7tJktlNTUzBo650KtFnd5L1fy/49d3e8AsEcQxEOl+S3uTpQ3OOxaeR+s9eV9yEreILn3mtkSeYMqXyKvC0tZv1BVxd2SxpjZZnkTCsTLG+8m3Tk3MjKzcy7fzB6S9LCZFcoLOtaXdJhz7jl5g87eK+lF82ZcrC/vy/BLYR/w5XLO/WRmL0uaYGY3yvsSVF/etfnBOfeBX940MxsiLzDUS15rkvDuQMMlvW9myyW9Ke8fw07yxnC7s0pXCBvltQa93MxWy2uF8WB4Bv+5WC3v+SqV9Gd54/lsMm/2tWh5v7ZulzfOSZ68riHrzexdSc+a2RXyftV+UF5ruHf94h+Q1838KXn/aBVK+j9Jbzjn1kXUdbmffq2ZPS1vwPy7IvIsk3evnGlmkyTl+b9gPypplJlFyRufKE3eF/Zc59yLEWXIvBlx/yPpJ0npfp3mR+aTJOfcQjObLOkZM7tSXpesx7VzC5ap8n7Zf8fMbvbLzZDXQuRfzrlv5d37z5rZt/KCnudJOlzeeFQVeVlea4F3zWyYpF/kDXz9R0kPO+d+URXfC7DXvCLpb5LGmdmD8l5/Q/00V+5eu1DRa9Y595mZTZP0lp9vsfyxv5xzkyt5iF19Zv2uzwpUq2ZmNlLSM/LG571WXksjqXLvqWP9fSb6QbDN8oIBXzvndhmQreTnfqRH5LUenSXvvfMsee9nJ1X+tHkfR5UtknSRmZ0qb6KG/vKCVkslyW/dfLm8SSpWyftBsrV+Ddj+LOkQ82YW/0Xed57K3DO7ZN7s4S3kTWq0Ud4Yo1Eq/0eRMfIaDQyV933rVHmtB8Pt6rv0R5KWyHsfv1neuNn3+/vu6vNpV/dqZe53AKh+e2KgPZb9c5E3NsVkeQG8fHkfuteEpUfJ+8D7Rd4X6u8l9Q5Lb66wgc79bSfotwP4D1DYoLX+tn7yvjQXyBtv4jN5LQDLq2uUvJk8f/brskxhA9/Ka2H1ibwvtusljZM/ALaf/oIqnp02NPvXUr/8VfJ+RewYlucy/1psl/Qvvz6rI+p5qn6dOW6zvCDSZeWdF0uF9+dJ8lo45Msbv7Gndh64+DL/HtrqX+upkrr4aX3l/QK92U/P0s4D8KfL+4K7yX+uJsufkTAsT0//ucyX9+V0cui+LuP+ucC/d/Ll/YN0VhmvjbvkBTBK5c+GKa8r4GB5rS0K5b0WJ6ucmQrl/SO22D/OWv8c6lZwDRvJmwkx33/N9PdfQ9eH5UmR98V6pV+H5fImbWkaUfcceV/+n5M0WlJWea+viOO/6O+bL++L9zhJqWF5qvRewLJbr6Wd7ld/2zvaeVbWHa8tf/0Y/3VXIG9coQv8PKHZP0/Qb9/rO/vbmpdTj3Jfs356HUnj5U2qkSdvnKgz/LQB+u3nSF/tPOtnhZ9Zfp4qfVaw7LH78Ul5M8du9l/3f9POg8lX5j31cHldbLfJm/FzmrxWNmU+j/KCX/8NW6/wc7+ce+5K/32sUN53pv4R6Tu9jso5f97HD9BFZb8X7/RcRt5H8gJNz8v7vrJR3vAgD8ifrEJSQ3nfSVf51/9n/76OCtv/TX9fJ2lAZe4ZlTEhRhnn08M/pw3yvkvNlj9rbgX7DJS0ws//b3nB+8jXWYXfpeX9wDPdP9/58mZ4dpJO9dObK+L9orL3amXudxYWFpbqXsy53f6RHEAVmNmzkto5546r6boAe5OZfSRvVtD+NV0X7B1mdqG8fyTTnNdVHcA+jPdx7C/M7Fh5Qb1WbufJjwBgn0B3WmAP8Zv/fyTvV//TJF0s6aoarRSwh5k3G9wgeS1eSuS1kAlNGIL9lJldJK+r3Up5XZkekvQ6ATxg38P7OPYnZvYHeS26F8mbTXa0pBkE8ADsqwjiAXtOd0mh8Tf+J+k651xZE20A+xMnb5ybOyQlyOtCdo5zbmqN1gp7WiN5YxM1ktcN/A159wCAfQ/v49ifpMj7YamZvOEXpurXMTUBYJ9Dd1oAAAAAAAAg4KJqugIAAAAAAAAAKkYQDwAAAAAAAAg4gngAAAAAAABAwBHEAwAAAAAAAAKOIB4AAPsgM/uvmT2+l4/5gpm98zvLqGVmb5lZrpk5M6tdPbWT/PL6Vld5v6Mev/s6AQAAAJFiaroCAADggHKxpOMkHSNpnaTNNVud3WdmzSUtldTFOfd9WNJgSVYTdQIAAMD+iyAeAADYm1pKmu+cm1vTFdlTnHP7bGASAAAAwUV3WgAA9gNmFm9mj5rZSjPbZmZfmdkJflqqmeWZ2WkR+/zBzLaYWS1/vamZvW5mm8xsg5m967c2q0o9zjGzH82swMx+NrMbw9L+K+lGScf7XV//W0E5Z5vZd2aWb2b/M7O7zSwmLL21mU3z0+eZ2ckR+58Q2V3XzDr725qHbTvW75q83cw2mtkUM0v303qb2XT/eqw3s/fNrGXYYZb6f2eFn09kd1r/uRljZmv9+k43syPKqOuJZvatX5cvzKxtZa45AAAADgwE8QAA2D+MlXS0pPMlHS7pDUmTzay1cy5X0vuS+kXsc6Gkd5xz280sVtIUSVvkdXc9VtJWv4y4ylTAzDIlvS5poqSOku6RdJ+ZDfCz/FHSs5KyJDX218sq5zhJEySNltRe0hWSBki6w0+PkvS2pEJJR0oaJOmhytQx4jidJX0saZ68a9dD0nuSov0sSZJGSuom6URJpZL+5R9fkrr7f0+q6HwkPSzpHHldibtKWixpipnVicj3N3lBzm6SiiWNr+o5AQAAYP9Fd1oAAPZxZtZM0iWSmjnnVvmbHzWz3v722yW9LOklM6vlB+1SJZ0h6Q9+/vPk/bj3V+ec88u9RNImSSdI+rASVRki6WPn3H3++k9m1l7STZJecM5tMLPtkgqdc2sqKOduSQ8651701/9nZnfJC4bdKy9o1k7SqaHzNbPbJf2nEnUMd7Okb51zV4Vt+zH0wDn3VnhmMxsoKUdeYHGu/1iS1pd3PmaWJOlKSQOcc//xt10m6WRJl0p6JCz7Hc65z/w8D0r6wMwSnHP5VTwvAAAA7IdoiQcAwL6vo7zWYz+Z2dbQIqmnvDHoJGmSpCJJffz1cyTlSprqr3eS1ErSlrD9N0hKCCtjVw6VNCNi2wxJrc0suoz85ekkaVjEuTwrqbHf9fdQSSvCApaS17qvqjrLa4lXJr/L7qt+d95cST/7Sc2qcIyWkmIVdl2cc0WSvpZ3HuF+CHu82v/boArHAgAAwH6MlngAAOz7kiWVSMr0/4bbKknOuUIze1Nel9qJ/t/XnHPFYWXMlNfFNlJOGdv2pGR5rfHeLiOtsq3SSv2/4bPExkbkydtFGe9JWibpMkmr5P34OVdSpboX74aisMfO/8sPrgAAAJBEEA8AgP3BLHkt8Ro45z6vIN/Lkj4ys8Mk9ZJ0Z1jad/K61K71x9DbHfPljaUX7lhJPznnIoOLFflOUlvn3OKyEs1svqSmZtbYORdqsXZURLZQ4LGxpI3+484ReX6QN9bd3WUco66ktpIuC11TM+sRka3Q/1tRK8Mlfr5j5QUE5Y8/eISkxyvYDwAAANgJv+4CALCPc879JC9AN8HM/mhmh5hZdzO7zczOCMs6TdIaP+9S59xXYWkvS1on6V0zO84v4wR/VtWDKlmVxySdaGZ3mVkbM7tY0jWSHq3iKQ2XdJE/I+1hZnaomZ1vZvf76VMl/STpRTPr5E+E8beIMhZLWiHpHr9b7BnyJo0I94CkI8zsKTM73MzamdmVZlZPXuBvvaTLzayVmfWSN8lFuLXyWvP1NrOGZpYWeSLOuW2S/i7pEX+22/byugbXkvRcFa8LAAAADmAE8QAA2D9cIm9G18ckLZT0jrzWXstDGfwJK16VN+bcy+E7O+e2Szrez/+2vFZ1z8kbE69SLfOcc99JOlfeDLlz5QXjhjnnXqjKiTjnpkg6U9Ipkr6R9KWkG+S3ZHPOlcqbkCNR3thy/5A/c21YGUWSLpA3AcYPkm7Rzi0PQ8HPU+Rdj6/ljat3tqRi/xjny+uiPFfSKHkTdITvXyzpOnmz566S9G45p3SrpLckvSSvlWEreZNybCwnPwAAAPAb5k9ABwAAAAAAACCgaIkHAAAAAAAABBxBPAAAAAAAACDgCOIBAAAAAAAAAUcQDwAAAAAAAAg4gngAAAAAAABAwBHEAwAAAAAAAAKOIB4AAAAAAAAQcATxAAAAAAAAgIAjiAcAAAAAAAAEHEE8AAAAAAAAIOAI4gEAAAAAAAABRxAPAAAAAAAACLj/B8kGOMEr05CjAAAAAElFTkSuQmCC\n",
|
|
"text/plain": [
|
|
"<Figure size 1200x600 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.figure(figsize=(12,6),dpi=100)\n",
|
|
"\n",
|
|
"# https://stackoverflow.com/questions/30490740/move-legend-outside-figure-in-seaborn-tsplot\n",
|
|
"sns.barplot(x='level of education',y='salary',data=df,estimator=np.mean,ci='sd',hue='division')\n",
|
|
"\n",
|
|
"plt.legend(bbox_to_anchor=(1.05, 1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"--------\n",
|
|
"--------"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"anaconda-cloud": {},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 1
|
|
}
|