Labor Market Trend Analysis Using Python Programming
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Labor Market Trend Analysis Using Python Programming

Project period

06/18/2020 - 06/30/2020

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Labor Market Trend Analysis Using Python Programming
Labor Market Trend Analysis Using Python Programming

A labor market is a place where workers and employees interact with each other. In the market, employers compete to hire the effective, and also the employers compete for the most effective satisfying job. A market in an economy functions with demand and providing of labor. In this market, labor demand is the firm's demand for labor, and supply is the worker's supply of labor. The supply and demand for labor in the market are influenced by changes in bargaining power.
The Indian labor market is divided into two segments: organized or formal sector and the other is the unorganized sector which is also known as the informal sector. The organized sector in India is that sector which is registered as well as pay tax which are licensed organizations. All self-employed, unlicensed or unregistered economic activity such as rural traders, handicrafts, farmers and owner manned general stores, etc. refers to the unorganized sector or own account enterprises.

Why: Problem statement

Employers demand labor as a result of workers being the most important part of the production process. Workers use tools and equipment to turn inputs into output. Without workers, employers could not manufacture products and services and earn profits. When graphed, the demand for labor looks very similar to the demand for different products and services; it's a downward slope. This indicates that a bigger amount of labor is demanded at lower costs than at higher costs. That is, in the labor market, employers are willing to buy more hours of labor at lower wages than at a higher wage.

In Indian labor markets, workers in the unorganized sector suffer from poor working conditions with almost no income or social security. On the other hand, workers in the organized sector enjoy rising wages, improving working conditions, and secure jobs. This analysis tries to deal with these problems, focusing on where and when the labor market comes down for the unorganized workers, and how to induce greater flexibility in the organized sector

How: Solution description

Labor market analysis is the process of, Identifying the appropriate labor market for various types of positions, Surveying the market to determine the salaries that are being paid for like positions, Identifying market trends such as ancillary pay, and merit and pay practices, Establishing, adjusting, and/or recommending salary changes and/or structures for staff positions, Consulting with management on their workforce needs. Those processes will make a country develop in the labor market and its country's economy. 

In this project, I collected railway labour market dataset for the government website. After that I cleaned the dataset, In this cleaning process I applied python programming to clean the data. Then we analysed the labor market and visualised this analysis like scatter plot and bar plot. We are using matplotlib library for the visualization. Here I attached the plot that shows the labor market demand based on the year. Below plot shows the result for this project.

In this chart, you can see the number of laborers ranging from the year of 2000 to 2015.

How is it different from competition

The labor market trend analysis project is the new project listed openly by the Indian government that to be completed by any volunteers, This project is unique in the labor market and also with unique data visuality. In this project, We proposed a python programming language to analyze the labor market. We are using a simple plot. It is easy to understand all levels of laborers.

Who are your customers

The customers of this project are the government sectors, Analysts, Business sectors,  Analytical companies, etc. where the supply and the demand for jobs meet, with the workers or labor providing the services that employers demand. The worker may be anyone who wishes to offer his services for compensation while the employer may be a single entity or an organization that is in need of an individual to do a specific job or to complete a task. The worker is then comparable to a seller while the employer is the buyer.

Project Phases and Schedule

Data collection - Data collection is the process of collecting or gathering data from the various resources. 
Data wrangling - Data wrangling is also known as data cleaning. It is the process of transforming and mapping the data from one raw data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as data analytics.
Data analysis - Data analysis is a process of cleaning, transforming, and analysing data to discover useful information for business decision making. The purpose of Data Analysis is to extract useful information from data and take the decision based upon the data analysis.
Data visualization - Data visualization is the graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data.

Resources Required

Anaconda tool - Anaconda may be a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale processing, prediction analysis, etc.), that aims to clarify package management and implementation. The distribution includes data-science packages appropriate for Windows, Linux, and macOS. You can download anaconda tool for Python by clicking this link https://anaconda.org/anaconda/python.

Python version 3.7 - Underneath the Python Releases for Windows find Latest Python 3 Release – Python 3.7. 4 (latest stable release as of now is Python 3.7. The advantages of Python 3.7 are Easier access to debuggers through a new breakpoint() built-in, Simple class creation using data classes, Customized access to module attributes, Improved support for type hinting and Higher precision timing functions. Most companies are still using Python 2 for legacy reasons, but more and more companies are using Python 3, or beginning to make the switch from 2 to 3.

Important libraries:

Numpy - The fundamental package for scientific and mathematical computing with Python.

Pandas - It is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Matplotlib - Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.

Download:
Project Code Code copy
/* Your file Name : Labour market trends analysis.ipynb */
/* Your coding Language : python */
/* Your code snippet start here */
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "users = pd.read_csv('LMT.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-East Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-East Cost</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata</th>\n",
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       "      <th>Railway Zones/Units/Board and Other Offices-North Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Northeast Frontier</th>\n",
       "      <th>...</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southern</th>\n",
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       "      <th>Railway Zones/Units/Board and Other Offices-South Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southeast Central</th>\n",
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       "      <th>Railway Zones/Units/Board and Other Offices-Railway Board&amp;Metropolitan Transport Projects</th>\n",
       "      <th>Grand Total</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2000-01</td>\n",
       "      <td>213199</td>\n",
       "      <td>208237</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>242747</td>\n",
       "      <td>NaN</td>\n",
       "      <td>97570</td>\n",
       "      <td>79390</td>\n",
       "      <td>...</td>\n",
       "      <td>133587</td>\n",
       "      <td>121820</td>\n",
       "      <td>197525</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>182916</td>\n",
       "      <td>NaN</td>\n",
       "      <td>51241</td>\n",
       "      <td>21153</td>\n",
       "      <td>1549385</td>\n",
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       "      <td>208024</td>\n",
       "      <td>204376</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>236973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95233</td>\n",
       "      <td>76508</td>\n",
       "      <td>...</td>\n",
       "      <td>130579</td>\n",
       "      <td>119410</td>\n",
       "      <td>195725</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>178210</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49885</td>\n",
       "      <td>19893</td>\n",
       "      <td>1514816</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>204707</td>\n",
       "      <td>195932</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>231923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91957</td>\n",
       "      <td>75159</td>\n",
       "      <td>...</td>\n",
       "      <td>126992</td>\n",
       "      <td>116627</td>\n",
       "      <td>194055</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>171971</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48074</td>\n",
       "      <td>18487</td>\n",
       "      <td>1475884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2003-04</td>\n",
       "      <td>126813</td>\n",
       "      <td>133613</td>\n",
       "      <td>92165.0</td>\n",
       "      <td>43985.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>164304</td>\n",
       "      <td>72592.0</td>\n",
       "      <td>64158</td>\n",
       "      <td>74085</td>\n",
       "      <td>...</td>\n",
       "      <td>106844</td>\n",
       "      <td>95919</td>\n",
       "      <td>98390</td>\n",
       "      <td>40336.0</td>\n",
       "      <td>33373.0</td>\n",
       "      <td>112842</td>\n",
       "      <td>61178.0</td>\n",
       "      <td>46521</td>\n",
       "      <td>18620</td>\n",
       "      <td>1445428</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2004-05</td>\n",
       "      <td>124757</td>\n",
       "      <td>131513</td>\n",
       "      <td>84180.0</td>\n",
       "      <td>44450.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>161906</td>\n",
       "      <td>79039.0</td>\n",
       "      <td>63769</td>\n",
       "      <td>72685</td>\n",
       "      <td>...</td>\n",
       "      <td>106258</td>\n",
       "      <td>95009</td>\n",
       "      <td>95830</td>\n",
       "      <td>42722.0</td>\n",
       "      <td>33654.0</td>\n",
       "      <td>110447</td>\n",
       "      <td>60401.0</td>\n",
       "      <td>45596</td>\n",
       "      <td>14504</td>\n",
       "      <td>1424389</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Year  Railway Zones/Units/Board and Other Offices-Central  \\\n",
       "0  2000-01                                             213199     \n",
       "1  2001-02                                             208024     \n",
       "2  2002-03                                             204707     \n",
       "3  2003-04                                             126813     \n",
       "4  2004-05                                             124757     \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Eastern  \\\n",
       "0                                             208237     \n",
       "1                                             204376     \n",
       "2                                             195932     \n",
       "3                                             133613     \n",
       "4                                             131513     \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-East Central  \\\n",
       "0                                                NaN          \n",
       "1                                                NaN          \n",
       "2                                                NaN          \n",
       "3                                            92165.0          \n",
       "4                                            84180.0          \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-East Cost  \\\n",
       "0                                                NaN       \n",
       "1                                                NaN       \n",
       "2                                                NaN       \n",
       "3                                            43985.0       \n",
       "4                                            44450.0       \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata  \\\n",
       "0                                                NaN                   \n",
       "1                                                NaN                   \n",
       "2                                                NaN                   \n",
       "3                                                NaN                   \n",
       "4                                                NaN                   \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Northern  \\\n",
       "0                                             242747      \n",
       "1                                             236973      \n",
       "2                                             231923      \n",
       "3                                             164304      \n",
       "4                                             161906      \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-North Central  \\\n",
       "0                                                NaN           \n",
       "1                                                NaN           \n",
       "2                                                NaN           \n",
       "3                                            72592.0           \n",
       "4                                            79039.0           \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-North Eastern  \\\n",
       "0                                              97570           \n",
       "1                                              95233           \n",
       "2                                              91957           \n",
       "3                                              64158           \n",
       "4                                              63769           \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Northeast Frontier  ...  \\\n",
       "0                                              79390               ...   \n",
       "1                                              76508               ...   \n",
       "2                                              75159               ...   \n",
       "3                                              74085               ...   \n",
       "4                                              72685               ...   \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Southern  \\\n",
       "0                                             133587      \n",
       "1                                             130579      \n",
       "2                                             126992      \n",
       "3                                             106844      \n",
       "4                                             106258      \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-South Central  \\\n",
       "0                                             121820           \n",
       "1                                             119410           \n",
       "2                                             116627           \n",
       "3                                              95919           \n",
       "4                                              95009           \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-South Eastern  \\\n",
       "0                                             197525           \n",
       "1                                             195725           \n",
       "2                                             194055           \n",
       "3                                              98390           \n",
       "4                                              95830           \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Southeast Central  \\\n",
       "0                                                NaN               \n",
       "1                                                NaN               \n",
       "2                                                NaN               \n",
       "3                                            40336.0               \n",
       "4                                            42722.0               \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-South Western  \\\n",
       "0                                                NaN           \n",
       "1                                                NaN           \n",
       "2                                                NaN           \n",
       "3                                            33373.0           \n",
       "4                                            33654.0           \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Western  \\\n",
       "0                                             182916     \n",
       "1                                             178210     \n",
       "2                                             171971     \n",
       "3                                             112842     \n",
       "4                                             110447     \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-West Central  \\\n",
       "0                                                NaN          \n",
       "1                                                NaN          \n",
       "2                                                NaN          \n",
       "3                                            61178.0          \n",
       "4                                            60401.0          \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Production Units  \\\n",
       "0                                              51241              \n",
       "1                                              49885              \n",
       "2                                              48074              \n",
       "3                                              46521              \n",
       "4                                              45596              \n",
       "\n",
       "   Railway Zones/Units/Board and Other Offices-Railway Board&Metropolitan Transport Projects  \\\n",
       "0                                              21153                                           \n",
       "1                                              19893                                           \n",
       "2                                              18487                                           \n",
       "3                                              18620                                           \n",
       "4                                              14504                                           \n",
       "\n",
       "   Grand Total  \n",
       "0      1549385  \n",
       "1      1514816  \n",
       "2      1475884  \n",
       "3      1445428  \n",
       "4      1424389  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.head()"
   ]
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   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
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       "      <th>Railway Zones/Units/Board and Other Offices-North Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-North Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Northeast Frontier</th>\n",
       "      <th>...</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southeast Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Western</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Western</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-West Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Production Units</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Railway Board&amp;Metropolitan Transport Projects</th>\n",
       "      <th>Grand Total</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2010-11</td>\n",
       "      <td>113341</td>\n",
       "      <td>120421</td>\n",
       "      <td>74928.0</td>\n",
       "      <td>41526.0</td>\n",
       "      <td>3809.0</td>\n",
       "      <td>156320</td>\n",
       "      <td>68647.0</td>\n",
       "      <td>58038</td>\n",
       "      <td>68092</td>\n",
       "      <td>...</td>\n",
       "      <td>95741</td>\n",
       "      <td>87275</td>\n",
       "      <td>84611</td>\n",
       "      <td>41643.0</td>\n",
       "      <td>33605.0</td>\n",
       "      <td>108292</td>\n",
       "      <td>57181.0</td>\n",
       "      <td>44779</td>\n",
       "      <td>17891</td>\n",
       "      <td>1332204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2011-12</td>\n",
       "      <td>110022</td>\n",
       "      <td>117711</td>\n",
       "      <td>72765.0</td>\n",
       "      <td>41219.0</td>\n",
       "      <td>4094.0</td>\n",
       "      <td>153523</td>\n",
       "      <td>67153.0</td>\n",
       "      <td>56416</td>\n",
       "      <td>66570</td>\n",
       "      <td>...</td>\n",
       "      <td>94492</td>\n",
       "      <td>86325</td>\n",
       "      <td>83671</td>\n",
       "      <td>40617.0</td>\n",
       "      <td>33602.0</td>\n",
       "      <td>104480</td>\n",
       "      <td>56326.0</td>\n",
       "      <td>44442</td>\n",
       "      <td>18059</td>\n",
       "      <td>1306210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>2012-13</td>\n",
       "      <td>111274</td>\n",
       "      <td>117362</td>\n",
       "      <td>77088.0</td>\n",
       "      <td>42893.0</td>\n",
       "      <td>3763.0</td>\n",
       "      <td>149016</td>\n",
       "      <td>67056.0</td>\n",
       "      <td>57334</td>\n",
       "      <td>67064</td>\n",
       "      <td>...</td>\n",
       "      <td>93805</td>\n",
       "      <td>85146</td>\n",
       "      <td>82564</td>\n",
       "      <td>41121.0</td>\n",
       "      <td>37103.0</td>\n",
       "      <td>101955</td>\n",
       "      <td>57603.0</td>\n",
       "      <td>44572</td>\n",
       "      <td>17472</td>\n",
       "      <td>1307253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2013-14</td>\n",
       "      <td>109226</td>\n",
       "      <td>120372</td>\n",
       "      <td>81440.0</td>\n",
       "      <td>44969.0</td>\n",
       "      <td>3853.0</td>\n",
       "      <td>155373</td>\n",
       "      <td>67061.0</td>\n",
       "      <td>58000</td>\n",
       "      <td>66347</td>\n",
       "      <td>...</td>\n",
       "      <td>92758</td>\n",
       "      <td>89608</td>\n",
       "      <td>84787</td>\n",
       "      <td>45599.0</td>\n",
       "      <td>39643.0</td>\n",
       "      <td>100758</td>\n",
       "      <td>57572.0</td>\n",
       "      <td>44914</td>\n",
       "      <td>16900</td>\n",
       "      <td>1310818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2014-15</td>\n",
       "      <td>107716</td>\n",
       "      <td>119090</td>\n",
       "      <td>80620.0</td>\n",
       "      <td>47905.0</td>\n",
       "      <td>3864.0</td>\n",
       "      <td>153107</td>\n",
       "      <td>66878.0</td>\n",
       "      <td>56443</td>\n",
       "      <td>66746</td>\n",
       "      <td>...</td>\n",
       "      <td>91810</td>\n",
       "      <td>89109</td>\n",
       "      <td>85037</td>\n",
       "      <td>46113.0</td>\n",
       "      <td>39140.0</td>\n",
       "      <td>99540</td>\n",
       "      <td>57047.0</td>\n",
       "      <td>44563</td>\n",
       "      <td>17835</td>\n",
       "      <td>1303860</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year  Railway Zones/Units/Board and Other Offices-Central  \\\n",
       "10  2010-11                                             113341     \n",
       "11  2011-12                                             110022     \n",
       "12  2012-13                                             111274     \n",
       "13  2013-14                                             109226     \n",
       "14  2014-15                                             107716     \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Eastern  \\\n",
       "10                                             120421     \n",
       "11                                             117711     \n",
       "12                                             117362     \n",
       "13                                             120372     \n",
       "14                                             119090     \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-East Central  \\\n",
       "10                                            74928.0          \n",
       "11                                            72765.0          \n",
       "12                                            77088.0          \n",
       "13                                            81440.0          \n",
       "14                                            80620.0          \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-East Cost  \\\n",
       "10                                            41526.0       \n",
       "11                                            41219.0       \n",
       "12                                            42893.0       \n",
       "13                                            44969.0       \n",
       "14                                            47905.0       \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata  \\\n",
       "10                                             3809.0                   \n",
       "11                                             4094.0                   \n",
       "12                                             3763.0                   \n",
       "13                                             3853.0                   \n",
       "14                                             3864.0                   \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Northern  \\\n",
       "10                                             156320      \n",
       "11                                             153523      \n",
       "12                                             149016      \n",
       "13                                             155373      \n",
       "14                                             153107      \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-North Central  \\\n",
       "10                                            68647.0           \n",
       "11                                            67153.0           \n",
       "12                                            67056.0           \n",
       "13                                            67061.0           \n",
       "14                                            66878.0           \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-North Eastern  \\\n",
       "10                                              58038           \n",
       "11                                              56416           \n",
       "12                                              57334           \n",
       "13                                              58000           \n",
       "14                                              56443           \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Northeast Frontier  ...  \\\n",
       "10                                              68092               ...   \n",
       "11                                              66570               ...   \n",
       "12                                              67064               ...   \n",
       "13                                              66347               ...   \n",
       "14                                              66746               ...   \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Southern  \\\n",
       "10                                              95741      \n",
       "11                                              94492      \n",
       "12                                              93805      \n",
       "13                                              92758      \n",
       "14                                              91810      \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-South Central  \\\n",
       "10                                              87275           \n",
       "11                                              86325           \n",
       "12                                              85146           \n",
       "13                                              89608           \n",
       "14                                              89109           \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-South Eastern  \\\n",
       "10                                              84611           \n",
       "11                                              83671           \n",
       "12                                              82564           \n",
       "13                                              84787           \n",
       "14                                              85037           \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Southeast Central  \\\n",
       "10                                            41643.0               \n",
       "11                                            40617.0               \n",
       "12                                            41121.0               \n",
       "13                                            45599.0               \n",
       "14                                            46113.0               \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-South Western  \\\n",
       "10                                            33605.0           \n",
       "11                                            33602.0           \n",
       "12                                            37103.0           \n",
       "13                                            39643.0           \n",
       "14                                            39140.0           \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Western  \\\n",
       "10                                             108292     \n",
       "11                                             104480     \n",
       "12                                             101955     \n",
       "13                                             100758     \n",
       "14                                              99540     \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-West Central  \\\n",
       "10                                            57181.0          \n",
       "11                                            56326.0          \n",
       "12                                            57603.0          \n",
       "13                                            57572.0          \n",
       "14                                            57047.0          \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Production Units  \\\n",
       "10                                              44779              \n",
       "11                                              44442              \n",
       "12                                              44572              \n",
       "13                                              44914              \n",
       "14                                              44563              \n",
       "\n",
       "    Railway Zones/Units/Board and Other Offices-Railway Board&Metropolitan Transport Projects  \\\n",
       "10                                              17891                                           \n",
       "11                                              18059                                           \n",
       "12                                              17472                                           \n",
       "13                                              16900                                           \n",
       "14                                              17835                                           \n",
       "\n",
       "    Grand Total  \n",
       "10      1332204  \n",
       "11      1306210  \n",
       "12      1307253  \n",
       "13      1310818  \n",
       "14      1303860  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 15 entries, 0 to 14\n",
      "Data columns (total 21 columns):\n",
      "Year                                                                                         15 non-null object\n",
      "Railway Zones/Units/Board and Other Offices-Central                                          15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-Eastern                                          15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-East Central                                     12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-East Cost                                        12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata                            5 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-Northern                                         15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-North Central                                    12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-North Eastern                                    15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-Northeast Frontier                               15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-North Western                                    12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-Southern                                         15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-South Central                                    15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-South Eastern                                    15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-Southeast Central                                12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-South Western                                    12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-Western                                          15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-West Central                                     12 non-null float64\n",
      "Railway Zones/Units/Board and Other Offices-Production Units                                 15 non-null int64\n",
      "Railway Zones/Units/Board and Other Offices-Railway Board&Metropolitan Transport Projects    15 non-null int64\n",
      "Grand Total                                                                                  15 non-null int64\n",
      "dtypes: float64(8), int64(12), object(1)\n",
      "memory usage: 2.6+ KB\n"
     ]
    }
   ],
   "source": [
    "users.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-East Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-East Cost</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Northern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-North Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-North Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Northeast Frontier</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-North Western</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Eastern</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Southeast Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-South Western</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Western</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-West Central</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Production Units</th>\n",
       "      <th>Railway Zones/Units/Board and Other Offices-Railway Board&amp;Metropolitan Transport Projects</th>\n",
       "      <th>Grand Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>12.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>1.500000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>135173.333333</td>\n",
       "      <td>140411.666667</td>\n",
       "      <td>74787.416667</td>\n",
       "      <td>44018.000000</td>\n",
       "      <td>3876.600000</td>\n",
       "      <td>173111.000000</td>\n",
       "      <td>71195.583333</td>\n",
       "      <td>66568.466667</td>\n",
       "      <td>70937.333333</td>\n",
       "      <td>56669.500000</td>\n",
       "      <td>105959.266667</td>\n",
       "      <td>96295.533333</td>\n",
       "      <td>110144.933333</td>\n",
       "      <td>42672.416667</td>\n",
       "      <td>35051.666667</td>\n",
       "      <td>121589.800000</td>\n",
       "      <td>58223.333333</td>\n",
       "      <td>46170.600000</td>\n",
       "      <td>17475.600000</td>\n",
       "      <td>1.393224e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>38496.873939</td>\n",
       "      <td>32828.029162</td>\n",
       "      <td>21548.856192</td>\n",
       "      <td>2060.758245</td>\n",
       "      <td>127.919115</td>\n",
       "      <td>33450.649545</td>\n",
       "      <td>4387.152451</td>\n",
       "      <td>14905.916864</td>\n",
       "      <td>4204.308771</td>\n",
       "      <td>2112.196724</td>\n",
       "      <td>13707.012540</td>\n",
       "      <td>12349.595932</td>\n",
       "      <td>44553.328839</td>\n",
       "      <td>1818.126681</td>\n",
       "      <td>2256.666138</td>\n",
       "      <td>29427.337402</td>\n",
       "      <td>1396.948709</td>\n",
       "      <td>2022.115893</td>\n",
       "      <td>1799.014405</td>\n",
       "      <td>7.869663e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>107716.000000</td>\n",
       "      <td>117362.000000</td>\n",
       "      <td>8252.000000</td>\n",
       "      <td>41219.000000</td>\n",
       "      <td>3763.000000</td>\n",
       "      <td>149016.000000</td>\n",
       "      <td>66878.000000</td>\n",
       "      <td>56416.000000</td>\n",
       "      <td>66176.000000</td>\n",
       "      <td>53062.000000</td>\n",
       "      <td>91810.000000</td>\n",
       "      <td>85146.000000</td>\n",
       "      <td>82564.000000</td>\n",
       "      <td>40336.000000</td>\n",
       "      <td>33373.000000</td>\n",
       "      <td>99540.000000</td>\n",
       "      <td>56326.000000</td>\n",
       "      <td>44442.000000</td>\n",
       "      <td>14504.000000</td>\n",
       "      <td>1.303860e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>112307.500000</td>\n",
       "      <td>120396.500000</td>\n",
       "      <td>76548.000000</td>\n",
       "      <td>42551.250000</td>\n",
       "      <td>3809.000000</td>\n",
       "      <td>155450.000000</td>\n",
       "      <td>67130.000000</td>\n",
       "      <td>57667.000000</td>\n",
       "      <td>66905.000000</td>\n",
       "      <td>54973.500000</td>\n",
       "      <td>95116.500000</td>\n",
       "      <td>88447.500000</td>\n",
       "      <td>84912.000000</td>\n",
       "      <td>41370.750000</td>\n",
       "      <td>33604.250000</td>\n",
       "      <td>106356.500000</td>\n",
       "      <td>57474.250000</td>\n",
       "      <td>44846.500000</td>\n",
       "      <td>16571.500000</td>\n",
       "      <td>1.321511e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>119574.000000</td>\n",
       "      <td>129102.000000</td>\n",
       "      <td>81014.000000</td>\n",
       "      <td>44217.500000</td>\n",
       "      <td>3853.000000</td>\n",
       "      <td>158378.000000</td>\n",
       "      <td>70681.500000</td>\n",
       "      <td>60229.000000</td>\n",
       "      <td>69929.000000</td>\n",
       "      <td>57156.500000</td>\n",
       "      <td>104680.000000</td>\n",
       "      <td>91509.000000</td>\n",
       "      <td>90453.000000</td>\n",
       "      <td>42728.500000</td>\n",
       "      <td>34130.000000</td>\n",
       "      <td>109338.000000</td>\n",
       "      <td>57796.000000</td>\n",
       "      <td>45624.000000</td>\n",
       "      <td>17835.000000</td>\n",
       "      <td>1.394418e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>125785.000000</td>\n",
       "      <td>132563.000000</td>\n",
       "      <td>83294.500000</td>\n",
       "      <td>45104.250000</td>\n",
       "      <td>3864.000000</td>\n",
       "      <td>163105.000000</td>\n",
       "      <td>72678.000000</td>\n",
       "      <td>63963.500000</td>\n",
       "      <td>73912.500000</td>\n",
       "      <td>58146.000000</td>\n",
       "      <td>106551.000000</td>\n",
       "      <td>95464.000000</td>\n",
       "      <td>97110.000000</td>\n",
       "      <td>43347.500000</td>\n",
       "      <td>35075.000000</td>\n",
       "      <td>113239.000000</td>\n",
       "      <td>58781.750000</td>\n",
       "      <td>46182.500000</td>\n",
       "      <td>18273.000000</td>\n",
       "      <td>1.434908e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>213199.000000</td>\n",
       "      <td>208237.000000</td>\n",
       "      <td>92165.000000</td>\n",
       "      <td>47905.000000</td>\n",
       "      <td>4094.000000</td>\n",
       "      <td>242747.000000</td>\n",
       "      <td>79061.000000</td>\n",
       "      <td>97570.000000</td>\n",
       "      <td>79390.000000</td>\n",
       "      <td>59690.000000</td>\n",
       "      <td>133587.000000</td>\n",
       "      <td>121820.000000</td>\n",
       "      <td>197525.000000</td>\n",
       "      <td>46113.000000</td>\n",
       "      <td>39643.000000</td>\n",
       "      <td>182916.000000</td>\n",
       "      <td>61178.000000</td>\n",
       "      <td>51241.000000</td>\n",
       "      <td>21153.000000</td>\n",
       "      <td>1.549385e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Railway Zones/Units/Board and Other Offices-Central  \\\n",
       "count                                          15.000000     \n",
       "mean                                       135173.333333     \n",
       "std                                         38496.873939     \n",
       "min                                        107716.000000     \n",
       "25%                                        112307.500000     \n",
       "50%                                        119574.000000     \n",
       "75%                                        125785.000000     \n",
       "max                                        213199.000000     \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Eastern  \\\n",
       "count                                          15.000000     \n",
       "mean                                       140411.666667     \n",
       "std                                         32828.029162     \n",
       "min                                        117362.000000     \n",
       "25%                                        120396.500000     \n",
       "50%                                        129102.000000     \n",
       "75%                                        132563.000000     \n",
       "max                                        208237.000000     \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-East Central  \\\n",
       "count                                          12.000000          \n",
       "mean                                        74787.416667          \n",
       "std                                         21548.856192          \n",
       "min                                          8252.000000          \n",
       "25%                                         76548.000000          \n",
       "50%                                         81014.000000          \n",
       "75%                                         83294.500000          \n",
       "max                                         92165.000000          \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-East Cost  \\\n",
       "count                                          12.000000       \n",
       "mean                                        44018.000000       \n",
       "std                                          2060.758245       \n",
       "min                                         41219.000000       \n",
       "25%                                         42551.250000       \n",
       "50%                                         44217.500000       \n",
       "75%                                         45104.250000       \n",
       "max                                         47905.000000       \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata  \\\n",
       "count                                           5.000000                   \n",
       "mean                                         3876.600000                   \n",
       "std                                           127.919115                   \n",
       "min                                          3763.000000                   \n",
       "25%                                          3809.000000                   \n",
       "50%                                          3853.000000                   \n",
       "75%                                          3864.000000                   \n",
       "max                                          4094.000000                   \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Northern  \\\n",
       "count                                          15.000000      \n",
       "mean                                       173111.000000      \n",
       "std                                         33450.649545      \n",
       "min                                        149016.000000      \n",
       "25%                                        155450.000000      \n",
       "50%                                        158378.000000      \n",
       "75%                                        163105.000000      \n",
       "max                                        242747.000000      \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-North Central  \\\n",
       "count                                          12.000000           \n",
       "mean                                        71195.583333           \n",
       "std                                          4387.152451           \n",
       "min                                         66878.000000           \n",
       "25%                                         67130.000000           \n",
       "50%                                         70681.500000           \n",
       "75%                                         72678.000000           \n",
       "max                                         79061.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-North Eastern  \\\n",
       "count                                          15.000000           \n",
       "mean                                        66568.466667           \n",
       "std                                         14905.916864           \n",
       "min                                         56416.000000           \n",
       "25%                                         57667.000000           \n",
       "50%                                         60229.000000           \n",
       "75%                                         63963.500000           \n",
       "max                                         97570.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Northeast Frontier  \\\n",
       "count                                          15.000000                \n",
       "mean                                        70937.333333                \n",
       "std                                          4204.308771                \n",
       "min                                         66176.000000                \n",
       "25%                                         66905.000000                \n",
       "50%                                         69929.000000                \n",
       "75%                                         73912.500000                \n",
       "max                                         79390.000000                \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-North Western  \\\n",
       "count                                          12.000000           \n",
       "mean                                        56669.500000           \n",
       "std                                          2112.196724           \n",
       "min                                         53062.000000           \n",
       "25%                                         54973.500000           \n",
       "50%                                         57156.500000           \n",
       "75%                                         58146.000000           \n",
       "max                                         59690.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Southern  \\\n",
       "count                                          15.000000      \n",
       "mean                                       105959.266667      \n",
       "std                                         13707.012540      \n",
       "min                                         91810.000000      \n",
       "25%                                         95116.500000      \n",
       "50%                                        104680.000000      \n",
       "75%                                        106551.000000      \n",
       "max                                        133587.000000      \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-South Central  \\\n",
       "count                                          15.000000           \n",
       "mean                                        96295.533333           \n",
       "std                                         12349.595932           \n",
       "min                                         85146.000000           \n",
       "25%                                         88447.500000           \n",
       "50%                                         91509.000000           \n",
       "75%                                         95464.000000           \n",
       "max                                        121820.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-South Eastern  \\\n",
       "count                                          15.000000           \n",
       "mean                                       110144.933333           \n",
       "std                                         44553.328839           \n",
       "min                                         82564.000000           \n",
       "25%                                         84912.000000           \n",
       "50%                                         90453.000000           \n",
       "75%                                         97110.000000           \n",
       "max                                        197525.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Southeast Central  \\\n",
       "count                                          12.000000               \n",
       "mean                                        42672.416667               \n",
       "std                                          1818.126681               \n",
       "min                                         40336.000000               \n",
       "25%                                         41370.750000               \n",
       "50%                                         42728.500000               \n",
       "75%                                         43347.500000               \n",
       "max                                         46113.000000               \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-South Western  \\\n",
       "count                                          12.000000           \n",
       "mean                                        35051.666667           \n",
       "std                                          2256.666138           \n",
       "min                                         33373.000000           \n",
       "25%                                         33604.250000           \n",
       "50%                                         34130.000000           \n",
       "75%                                         35075.000000           \n",
       "max                                         39643.000000           \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Western  \\\n",
       "count                                          15.000000     \n",
       "mean                                       121589.800000     \n",
       "std                                         29427.337402     \n",
       "min                                         99540.000000     \n",
       "25%                                        106356.500000     \n",
       "50%                                        109338.000000     \n",
       "75%                                        113239.000000     \n",
       "max                                        182916.000000     \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-West Central  \\\n",
       "count                                          12.000000          \n",
       "mean                                        58223.333333          \n",
       "std                                          1396.948709          \n",
       "min                                         56326.000000          \n",
       "25%                                         57474.250000          \n",
       "50%                                         57796.000000          \n",
       "75%                                         58781.750000          \n",
       "max                                         61178.000000          \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Production Units  \\\n",
       "count                                          15.000000              \n",
       "mean                                        46170.600000              \n",
       "std                                          2022.115893              \n",
       "min                                         44442.000000              \n",
       "25%                                         44846.500000              \n",
       "50%                                         45624.000000              \n",
       "75%                                         46182.500000              \n",
       "max                                         51241.000000              \n",
       "\n",
       "       Railway Zones/Units/Board and Other Offices-Railway Board&Metropolitan Transport Projects  \\\n",
       "count                                          15.000000                                           \n",
       "mean                                        17475.600000                                           \n",
       "std                                          1799.014405                                           \n",
       "min                                         14504.000000                                           \n",
       "25%                                         16571.500000                                           \n",
       "50%                                         17835.000000                                           \n",
       "75%                                         18273.000000                                           \n",
       "max                                         21153.000000                                           \n",
       "\n",
       "        Grand Total  \n",
       "count  1.500000e+01  \n",
       "mean   1.393224e+06  \n",
       "std    7.869663e+04  \n",
       "min    1.303860e+06  \n",
       "25%    1.321511e+06  \n",
       "50%    1.394418e+06  \n",
       "75%    1.434908e+06  \n",
       "max    1.549385e+06  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a24b1da50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a24e4b190>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Eastern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25096610>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-East Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25096fd0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-East Cost')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25083dd0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Metro Railway Kolkata')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a2572f110>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Northern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25714850>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-North Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25b89d10>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-North Eastern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25dc0fd0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Northeast Frontier')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25d98b10>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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SJEmSJKlj46753SvJvYCXzlUwkiRJkiT1YVzxeyJwA/DoJLckuXX4edITJFk/yflJvtyWt0/y7SRXJPm3JBu09nu35ZVt/XZDxzi4tX83ye5D7Xu0tpVJDppl7pIkSZKkJWJk8VtVb66qBwJfqarlVbXh8PMszvF64PKh5fcDf19VOwI3Aa9s7a8EbqqqhwN/37YjyU4Mep8fCewB/N9WUK8P/AOwJ7AT8LK2rSRJkiRJdzOu53fKG5I8N8lzkmw/m4Mn2Rp4DvCJthwGE2gd0zY5Enh+e71PW6atf0bbfh/gs1V1e1X9AFgJ7NIeK6vqyqr6BfDZtq0kSZIkSXczcsKrJMsZFK2PBy4EAjwmybnAK6tqkqHPHwb+EtiwLT8I+ElV3dGWVwFbtddbAVcDVNUdSW5u228FnDl0zOF9rl6t/YkTxCRJkiRJWmLG9fweAlwG7FhV+1bVC4CHARcDH5vpwEmeC1xXVcO3Sco0m9YM62bbPl0sByQ5J8k5119//ZioJUmSJEmL0bhbHe1WVX843FBVBbwryRUTHHs3YO8kewH3AZYz6AneKMmy1vu7NXBN234VsA2wKsky4IHAjUPtU4b3GdV+N1V1KHAowIoVK6YtkCVJkiRJi9e4nt/pelYnVlUHV9XWVbUdgwmr/rOqfg84FXhR22x/4Ivt9XFtmbb+P1uxfRzw0jYb9PbAjsBZwNnAjm326A3aOY5bm5glSZIkSYvTuOL3m0ne1iad+rUkf8Pdr8Gdrb8C3pRkJYNreg9r7YcBD2rtbwIOAqiqS4GjGQzBPhF4TVXd2XqODwROYjCb9NFtW0mSJEmS7mbcsOfXMihIVya5gMH1tI8Dzueu2xNNpKpOA05rr69kMFPz6tv8HNhvxP7vBd47TfvxwPGziUWSJEmStPSMLH7bbM77JXkYg/voBvirqvr+XAUnSZIkSVIXxvX8AtCKXQteSZIkSdI6a9w1v5IkSZIkLQoWv5IkSZKkRW9s8ZtkvSSXzFUwkiRJkiT1YWzxW1W/Ai5Msu0cxSNJkiRJUudmnPAK2BK4NMlZwM+mGqtq796ikiRJkiSpQ5MUv+/sPQpJkiRJkno0ya2OTk/yUGDHqvqPJPcD1u8/NEmSJEmSujHjbM9J/gQ4Bvin1rQV8O99BiVJkiRJUpcmudXRa4DdgFsAquoKYPM+g5IkSZIkqUuTFL+3V9UvphaSLAOqv5AkSZIkSerWJMXv6Un+GrhvkmcBnwO+1G9YkiRJkiR1Z5Li9yDgeuBi4FXA8cBb+wxKkiRJkqQuTTLb86+Af24PSZIkSZLWOTMWv0l2A94BPLRtH6Cqaod+Q5MkSZIkqRszFr/AYcAbgXOBO/sNR5IkSZKk7k1S/N5cVSf0HokkSZIkST0ZWfwm2bm9PDXJB4AvALdPra+q83qOTZIkSZKkTozr+f271ZZXDL0u4OndhyNJkiRJUvdGFr9V9TSAJDtU1ZXD65I42ZUkSZIkaZ0xyX1+j5mm7XNdByJJkiRJUl/GXfP7COCRwAOT7Du0ajlwn74DkyRJkiSpK+Ou+f1N4LnARsDzhtpvBf6kz6AkSZIkSerSuGt+vwh8McmTquqMOYxJkiRJkqROjb3mN8mewPuT3JDk+iSnJ9lrjmKTJEmSJKkT4675/RPgVcBfAue05hXA+5JsXVWHzkF8kiRJkiSttXHX/L4ReHJV3TjU9p+tN/gbgMWvJEmSJGmdMG7Yc1YrfAGoqh/3GI8kSZIkSZ0bV/zekuQxqze2tlv7C0mSJEmSpG6NG/b858BxSY4AzgUKeAKwP/D7cxCbJEmSJEmdGNnzW1XfAHZp2/wh8Eft9a5tnSRJkiRJ64RxPb9U1Y+At81RLJIkSZIk9WLsfX4lSZIkSVoMLH4lSZIkSYuexa8kSZIkadEbec1vki8xmOF5WlW1dy8RSZIkSZLUsXETXn2wPe8LPBj4l7b8MuCqHmOSJEmSJKlTI4vfqjodIMm7q+opQ6u+lORrvUcmSZIkSVJHJrnmd7MkO0wtJNke2Ky/kCRJkiRJ6tbY+/w2bwROS3JlW94OeFVvEUmSJEmS1LEZi9+qOjHJjsAjWtN3qur2fsOSJEmSJKk7k/T8AjyeQY/vMuAxSaiqo3qLSpIkSZKkDs14zW+STzGY+fnJwBPaY8UE+90nyVlJLkxyaZJ3tvbtk3w7yRVJ/i3JBq393m15ZVu/3dCxDm7t302y+1D7Hq1tZZKDZpm7JEmSJGmJmKTndwWwU1WNvOfvCLcDT6+qnya5F/CNJCcAbwL+vqo+m+QfgVcCH2/PN1XVw5O8FHg/8JIkOwEvBR4JPAT4jyS/0c7xD8CzgFXA2UmOq6rLZhmnJEmSJGmRm2S250sY3Od3Vmrgp23xXu1RwNOBY1r7kcDz2+t92jJt/TOSpLV/tqpur6ofACuBXdpjZVVdWVW/AD7btpUkSZIk6W4m6fndFLgsyVkMenMBqKq9Z9oxyfrAucDDGfTSfh/4SVXd0TZZBWzVXm8FXN2OfUeSm4EHtfYzhw47vM/Vq7U/cYJ8JEmSJElLzCTF7zvW9OBVdSfw2CQbAccCvzXdZu05I9aNap+u13raodlJDgAOANh2221niFqSJEmStNhMcquj09f2JFX1kySnAbsCGyVZ1np/twauaZutArYBViVZBjwQuHGofcrwPqPaVz//ocChACtWrJjttcuSJEmSpHXcJLM975rk7CQ/TfKLJHcmuWWC/TZrPb4kuS/wTOBy4FTgRW2z/YEvttfHtWXa+v9sk2wdB7y0zQa9PbAjcBZwNrBjmz16AwaTYh03WdqSJEmSpKVkkmHPH2NQWH6OwczPL2dQgM5kS+DIdt3vesDRVfXlJJcBn03yHuB84LC2/WHAp5KsZNDj+1KAqro0ydHAZcAdwGvacGqSHAicBKwPHF5Vl04QlyRJkiRpiZmk+KWqViZZvxWdRyT51gT7XAQ8bpr2KxnM1Lx6+8+B/UYc673Ae6dpPx44fuYMJEmSJElL2STF721tWPEFSf4WuBa4f79hSZIkSZLUnUnu8/sHbbsDgZ8xmGTqhX0GJUmSJElSlyaZ7fmH7eXPgXf2G44kSZIkSd2bpOdXkiRJkqR1msWvJEmSJGnRs/iVJEmSJC16I6/5TfIloEatr6q9e4lIkiRJkqSOjZvw6oPteV/gwcC/tOWXAVf1GJMkSZIkSZ0aWfxW1ekASd5dVU8ZWvWlJF/rPTJJkiRJkjoyyTW/myXZYWohyfbAZv2FJEmSJElSt2a8zy/wRuC0JFe25e2AA3qLSJIkSZKkjo0tfpOsB9wC7Ag8ojV/p6pu7zswSZIkSZK6Mrb4rapfJfm7qnoScOEcxSRJkiRJUqcmueb3q0lemCS9RyNJkiRJUg8mueb3TcD9gTuS/BwIUFW1vNfIJEmSJEnqyIzFb1VtOBeBSJIkSZLUl0l6fkmyMYNJr+4z1VZV3utXkiRJkrROmLH4TfLHwOuBrYELgF2BM4Cn9xuaJEmSJEndmGTCq9cDTwB+WFVPAx4HXN9rVJIkSZIkdWiS4vfnVfVzgCT3rqrvAL/Zb1iSJEmSJHVnkmt+VyXZCPh34OQkNwHX9BuWJEmSJEndmWS25xe0l+9IcirwQODEXqOSJEmSJKlDk872/Bjgd9vi16vqF/2FJEmSJElSt2a85jfJ64FPA5u3x78keW3fgUmSJEmS1JVJen5fCTyxqn4GkOT9DG519NE+A5MkSZIkqSuTzPYc4M6h5TtbmyRJkiRJ64RJen6PAL6d5Ni2/HzgsP5CkiRJkiSpW5PM9vyhJKcBT2bQ4/uKqjq/78AkSZIkSerKRLM9V9V5Sb4D7ASs6jckSZIkSZK6NfKa3yR7J7kqyXlJ9gIuBT4GXJxk/zmLUJIkSZKktTSu5/fdwLOBBwKnAo+uqiuTbA6cAhw5B/FJkiRJkrTWxhW/v6qq7wEk+UFVXQlQVdcluWNOopMkSZIkqQPjit/1kmzMYGj0r9rrqVscTXKLJEmSJEmSFoRxxe8DgfOGlodfVz/hSJIkSZLUvXHF78OryuHNkiRJkqR13rji98wkq4ATgROr6qq5CUmSJEmSpG6NLH6rakWShwJ7Ah9OshXwDeAE4PSqun2OYpQkSZIkaa2Mnbiqqn5YVf9YVc8Hfgf4EvBM4OtJvjIXAUqSJEmStLbGDXu+m6r6ZZLzgRuq6i9bT7AkSZIkSQvejLcsSnJakuVJNgEuBI5I8qGq+u/+w5MkSZIkae1Ncr/eB1bVLcC+wBFV9XgGQ58lSZIkSVonTFL8LkuyJfBi4Ms9xyNJkiRJUucmKX7fCZwErKyqs5PsAFzRb1iSJEmSJHVnkuL32qp6dFX9GUBVXQl8aKadkmyT5NQklye5NMnrW/smSU5OckV73ri1J8khSVYmuSjJzkPH2r9tf0WS/YfaH5/k4rbPIUky2y+AJEmSJGnxm6T4/eiEbau7A/jzqvotYFfgNUl2Ag4CTqmqHYFT2jIM7ie8Y3scAHwcBsUy8HbgicAuwNunCua2zQFD++0xQVySJEmSpCVm5K2OkjyJwb19N0vypqFVy4H1ZzpwVV0LXNte35rkcmArYB/gqW2zI4HTgL9q7UdVVQFnJtmoXWv8VODkqrqxxXUysEeS04DlVXVGaz8KeD5wwiSJS5IkSZKWjnH3+d0AeEDbZsOh9luAF83mJEm2Ax4HfBvYohXGVNW1STZvm20FXD2026rWNq591TTtkiRJkiTdzcjit6pOB05P8smq+uGaniDJA4DPA2+oqlvGXJY73Ypag/bpYjiAwfBott1225lCliRJkiQtMuOGPX+4qt4AfCzJPYrKqtp7poMnuReDwvfTVfWF1vyjJFu2Xt8tgeta+ypgm6Hdtwauae1PXa39tNa+9TTb30NVHQocCrBixYppC2RJkiRJ0uI1btjzp9rzB9fkwG3m5cOAy6tqeHbo44D9gfe15y8OtR+Y5LMMJre6uRXIJwH/39AkV88GDq6qG5PcmmRXBsOpX85kE3FJkiRJkpaYccOez23Pp6/hsXcD/gC4OMkFre2vGRS9Ryd5JfBfwH5t3fHAXsBK4DbgFe38NyZ5N3B22+5dU5NfAa8GPgncl8FEV052JUmSJEm6h3E9vwAk2Q14B/DQtn2Aqqodxu1XVd9g+utyAZ4xzfYFvGbEsQ4HDp+m/RzgUePikCRJkiRpxuKXwdDlNwLnAnf2G44kSZIkSd2bpPi9uaocTixJkiRJWmdNUvyemuQDwBeA26caq+q83qKSJEmSJKlDkxS/T2zPK4baCnh69+FIkiRJktS9GYvfqnraXAQiSZIkSVJfRha/Sd60WlMBNwDfqKof9BqVJEmSJEkdWm/Mug1XeyxnMPT5hCQvnYPYJEmSJEnqxMie36p653TtSTYB/gP4bF9BSZIkSZLUpXE9v9OqqhuB9BCLJEmSJEm9mHXxm+TpwE09xCJJkiRJUi/GTXh1MYNJroZtAlwDvLzPoCRJkiRJ6tK4Wx09d7XlAn5cVT/rMR5JkiRJkjo3rvj9PPBN4ATgtKr6+dyEJEmSJElSt8Zd87srcCzwVOD0JMcneX2S35iTyCRJkiRJ6si4Wx3dAZzWHiTZEtgTeE+SHYEzqurP5iBGSZIkSZLWyrhhz3dTVdcm+SRwDPBT4El9BSVJkiRJUpdmvNVRks8kWZ7k/sBlwHeBP6+qb/YenSRJkiRJHZjkPr87VdUtwPOB44FtgT/oNSpJkiRJkjo0SfF7ryT3YlD8frGqfsk97/8rSZIkSdKCNUnx+0/AVcD9ga8leShwS59BSZIkSZLUpRknvKqqQ4BDhpp+mORp/YUkSZIkSVK3JpnwaoskhyU5oS3vBOzfe2SSJEmSJHVkkmHPnwROAh7Slr8HvKGvgCRJkiRJ6tokxe+mVXU08CuAqroDuLPXqCRJkiRJ6tAkxe/PkjyINsNzkl2Bm3uNSpIkSZKkDs044RXwJuA44GFJvglsBryo16gkSZIkSerQJLM9n5fkfwG/CQT4brvXryRJkiRJ64RJen4BdgG2a9vvnISqOqq3qCRJkiRJ6tCMxW+STwEPAy7gromuCrD4lSRJkiStEybp+V0B7FRV1VCVOFAAABcWSURBVHcwkiRJkiT1YZLZni8BHtx3IJIkSZIk9WWSnt9NgcuSnAXcPtVYVXv3FpUkSZIkSR2apPh9R99BSJIkSZLUp0ludXR6ki2AJ7Sms6rqun7DkiRJkiSpOzNe85vkxcBZwH7Ai4FvJ3lR34FJkiRJktSVSYY9vwV4wlRvb5LNgP8AjukzMEmSJEmSujLJbM/rrTbM+ccT7idJkiRJ0oIwSc/viUlOAv61Lb8EOKG/kCRJkiRJ6tYkE169Ocm+wJOBAIdW1bG9RyZJkiRJUkdGFr9Jdq+qkwCq6gvAF4bW7VdVn5uD+CRJkiRJWmvjrt09PsmpSbaaZt3BfQUkSZIkSVLXxhW/FwGfAc5Mst9q69JfSJIkSZIkdWtc8VtV9c/AM4C/THJEkvtNres/NEmSJEmSujHjLYuq6nvAk4AfAecneeIkB05yeJLrklwy1LZJkpOTXNGeN27tSXJIkpVJLkqy89A++7ftr0iy/1D745Nc3PY5JIm90ZIkSZKkaY0rfn9dTFbVHVV1EPAqBrc82nGCY38S2GO1toOAU6pqR+CUtgywZzvmjsABwMdhUCwDbweeCOwCvH2qYG7bHDC03+rnkiRJkiQJGF/8vnP1hqo6DXg88N6ZDlxVXwNuXK15H+DI9vpI4PlD7UfVwJnARkm2BHYHTq6qG6vqJuBkYI+2bnlVnVFVBRw1dCxJkiRJku5mZPFbVf8+ov2mqnrfGp5vi6q6th3nWmDz1r4VcPXQdqta27j2VdO0S5IkSZJ0DzNe8ztHprtet9agffqDJwckOSfJOddff/0ahihJkiRJWlfNdfH7ozZkmfZ8XWtfBWwztN3WwDUztG89Tfu0qurQqlpRVSs222yztU5CkiRJkrRumbH4TXLg0CRTa+s4YGrG5v2BLw61v7zN+rwrcHMbFn0S8OwkG7cYng2c1NbdmmTXNsvzy4eOJUmSJEnS3SybYJsHA2cnOQ84nEHxOeN9fpP8K/BUYNMkqxjM2vw+4OgkrwT+C9ivbX48sBewErgNeAVAVd2Y5N3A2W27d1XV1CRar2Ywo/R9gRPaQ5IkSZKke5ix+K2qtyb5Gwa9rq8APpbkaOCwqvr+mP1eNmLVM6bZtoDXjDjO4QyK7tXbzwEeNVP8kiRJkiRNdM1vK07/pz3uADYGjknytz3GJkmSJElSJ2bs+U3yOgbX594AfAJ4c1X9Msl6wBXAX/YboiRJkiRJa2eSa343Bfatqh8ON1bVr5I8t5+wJEmSJEnqziTX/L4NIMnmwH2G2v+rqi7vMTZJkiRJkjoxya2OnpfkCuAHwOnAVTizsiRJkiRpHTLJhFfvAXYFvldV2zOYrfmbvUYlSZIkSVKHJil+f1lVPwbWS7JeVZ0KPLbnuCRJkiRJ6swkE179JMkDgK8Bn05yHYPbHUmSJEmStE6YpOd3H+A24I3AicD3gef1GZQkSZIkSV2apOf3JcDXq+oK4Mie45EkSZIkqXOTFL/bAb+fZDvgHODrDIrhC/oLS5IkSZKk7sw47Lmq3lZVTwceCXwDeDNwbt+BSZIkSZLUlRl7fpO8FdgNeABwPvAXDHp/JUmSJElaJ0wy7HlfBrM7fwU4HTizqn7ea1SSJEmSJHVokmHPOwPPAM4CngVcnOQbfQcmSZIkSVJXJhn2/Cjgd4H/BawArsZhz5IkSZKkdcgkw57fD3wNOAQ4u6p+2W9IkiRJkiR1a8bit6qeMxeBSJIkSZLUl5HFb5KLgZpuFVBV9ejeopIkSZIkqUPjen6fO2dRSJIkSZLUo5HFb1X9cC4DkSRJkiSpL+OGPX+jqp6c5FbuPvx5atjz8t6jkyRJkiSpA+N6fp/cnjecu3AkSZIkSereJLc6AiDJ5sB9ppar6r96iUiSJEmSpI6tN9MGSfZOcgXwA+B04CrghJ7jkiRJkiSpMzMWv8C7gV2B71XV9sAzgG/2GpUkSZIkSR2apPj9ZVX9GFgvyXpVdSrw2J7jkiRJkiSpM5Nc8/uTJA8AvgZ8Osl1wB39hiVJkiRJUncm6fndB7gNeCNwIvB94Hl9BiVJkiRJUpdm7Pmtqp+1l78CjkyyPvBS4NN9BiZJkiRJUldG9vwmWZ7k4CQfS/LsDBwIXAm8eO5ClCRJkiRp7Yzr+f0UcBNwBvDHwJuBDYB9quqCOYhNkiRJkqROjCt+d6iq3wZI8gngBmDbqrp1TiKTJEmSJKkj4ya8+uXUi6q6E/iBha8kSZIkaV00ruf3MUluaa8D3LctB6iqWt57dJIkSZIkdWBk8VtV689lIJIkSZIk9WWS+/xKkiRJkrROs/iVJEmSJC16Fr+SJEmSpEXP4leSJEmStOhZ/EqSJEmSFj2LX0mSJEnSomfxK0mSJEla9Nb54jfJHkm+m2RlkoPmOx5JkiRJ0sKzThe/SdYH/gHYE9gJeFmSneY3KkmSJEnSQrNOF7/ALsDKqrqyqn4BfBbYZ55jkiRJkiQtMOt68bsVcPXQ8qrWJkmSJEnSr6Wq5juGNZZkP2D3qvrjtvwHwC5V9drVtjsAOKAt/ibw3TkNFDYFbpjjc86npZTvUsoVlla+SylXWFr5LqVcYWnlu5RyBfNdzJZSrrC08l1KucL85PvQqtpsuhXL5jiQrq0Cthla3hq4ZvWNqupQ4NC5Cmp1Sc6pqhXzdf65tpTyXUq5wtLKdynlCksr36WUKyytfJdSrmC+i9lSyhWWVr5LKVdYePmu68OezwZ2TLJ9kg2AlwLHzXNMkiRJkqQFZp3u+a2qO5IcCJwErA8cXlWXznNYkiRJkqQFZp0ufgGq6njg+PmOYwbzNuR6niylfJdSrrC08l1KucLSyncp5QpLK9+llCuY72K2lHKFpZXvUsoVFli+6/SEV5IkSZIkTWJdv+ZXkiRJkqQZWfxOI8k2SU5NcnmSS5O8vrVvkuTkJFe0541be5IckmRlkouS7Dx0rP3b9lck2X/MOQ9u+383ye5D7YcnuS7JJetIvicm+UmSL89wznt8XZLcL8lXknynxfG+hZprkscmOaMd46IkL5lNrq39xCQXtmP8Y5L1F3C+D01ybpIL2nH+dMw5p30vt3XrJzl/pvfHfOY6dLzlSf47ycdmm2uSq5Jc3L5e53Sda9f5JrmzxXpBkpGTBo55L2+Q5NAk32s/vy9cwLlum+Sr7ViXJdlu0lyTbDj0dbogyQ1JPtxlrl3mm+Rpq8X78yTPnzTf1v6y9l6+KIPfWZsu1Hzbur9tx7i8bZMR5xz1s/v6JJe0Y7xhgef6/hbrJRn/N2jav8sZTBb67XbOf8tg4tD5zPURGfxdvT3JX6x2rD3a92plkoPWINcD277Vx3u4h3wn+uw3arskH8jgd/FFSY5NstFCzXfUcWaZ77tbrhdk8Pv9IQs01/skOSt3ffZ755hzjv08neSjSX7aZZ5Dx+7svdzWz/jZb8zP7ieT/CB3/R177FonWFU+VnsAWwI7t9cbAt8DdgL+FjiotR8EvL+93gs4AQiwK/Dt1r4JcGV73ri93nia8+0EXAjcG9ge+D6wflv3FGBn4JKFnm9b9wzgecCXx5xv2q8LcD/gaW2bDYCvA3suxFyB3wB2bK8fAlwLbDRprm3d8vYc4PPASxfq97Z9P+7dXj8AuAp4yGzey239m4DPjHt/zHeuQ8f7SIv1YyPON+7n9ipg075+Znv4uf3pBOcb915+J/Ce9nq9rnPvONfTgGcNvZfvN5tcV9vuXOApC/l7u1pON84mXwbzglw39f1s53/HQs0X+B3gmwwmwFwfOAN46jTnm/ZnF3gUcAmDv0XLgP+g/Z5fgLk+Bzi5xXl/4Bza35Rpzjnt32XgaNrfHeAfgVfPc66bA08A3gv8xdBx1m/fox0Y/C26ENhplrk+DtiOHn83d5VvWzfRZ79R2wHPBpa11++fOudCzHfUcWaZ7/Kh168D/nGB5hrgAe31vYBvA7vO5r3c1q0APsUEf7vn+73c1s/42W/Mz+4ngRd1mZ89v9Ooqmur6rz2+lbgcmArYB/gyLbZkcDUf9D3AY6qgTOBjZJsCewOnFxVN1bVTQz+UO0xzSn3AT5bVbdX1Q+AlcAu7fxfY/CBpTcd5ktVnQLcOsMpp/26VNVtVXVqO84vgPMY3Lu5M13lWlXfq6or2nGuYfABcbqbaY98D1TVLW2bZQz+oHd+AX6H+f6iqm5v29yb0aNGRr6Xk2zN4APbJzpNsunyfZzk8cAWwFfHnHJkrnOhy3wnNO732R8B/6fF8quq6vRm9l3lmmQnBh8IT27H+mlV3TbLXAFIsiODP/hf7zLXFlcf39sXASfMMt+0x/2TBFgOXNNVnlM6zLeA+9D+Wcfgw+WPpjnlqJ/d3wLObH+L7gBOB16wQHPdCTi9qu6oqp8xKAin+3wx7d/l9v18OnDMNOfsxGxzrarrqups4JerHWoXYGVVXdk+G3y2HWO6c077GaSqzq+qq9Y6qTE6zHfiz36jtquqr7b3MMCZdPxZqp2jk3zHHGe6c47K95ahxfvT8eepDnOtqprqrb1Xe0wb66j3cgajBD8A/OVapjVSl+/lST/7jcq3Dxa/M8hgSNzjGPx3ZouquhYGbwwGH3xg8Ia4emi3Va1tVPvqJt2ud2uZ76Rm3L8N0XkecMosjjsrXeWaZBcGH7a+P81pxu6f5CQGhfOt3PUhpBdrm28bBnNRW//+GhT9qxuX74cZ/LL+VQfpjLU2uSZZD/g74M0znGZcrgV8NYOh4geseSaT6eC9fJ8k5yQ5MyOGxY7af2g43buTnJfkc0m2WNucRlnLXH8D+EmSL7QhWB/I9JcbTPI77mXAv1VV5/+0Gtbh7+SXAv864jTT7l9VvwReDVzMoOjdCThsDVOZyNrkW1VnAKcyGIlzLXBSVV0+zWlGfb0uAZ6S5EFJ7seg13WbbjK7p7X83l4I7JnB5UKbAk+bZawPAn4yVCD1+rljwlxHWTCfkSa1lvl27Y8YjB7oTVf5rnac2cbw3iRXA78HvG22+8/iPNuxFrm2IcAXMPjsd3JVzTbXA4Hjps7btw6+t1189ntvG9b+90nuvRbHASx+x0ryAAbDUd+w2n+V7rHpNG01pn3S/edUB/lOfKpx+ydZxuBD2iFVdeUsjjt5AB3l2v4D/yngFVU13Q/22P2rancGw0vuzeC/8L3oIt+qurqqHg08HNh/RIEz7f5JngtcV1XnzjL0Wesg1z8Djq+qq6dZP8n+ALtV1c7AnsBrkjxlhmOtsY7ey9tW1QrgfwMfTvKwWey/jEGvwjdbzmcAH5w0/tnoINdlwO8Cf8FgiNYOwB/OYv9h44rJTnT8e+q3gZNms3+SezEofh/H4PKOi4CDJwh9jaxtvkkezqD3dmsGxdHTR/zsTbt/K5Tfz6Dn+0QGBeYd02y71tY216r6KoPbPH6LwfvwDGYX65x97phFriMPMU3bnH9GmlQH+XYZy1sYvC8+3eM5Osl3bY9TVW+pqm0Y5HrgmsYxThe5VtWdVfVYBr+ndknyqFmc/yHAfsBH1+Tcs7W2+Xb02e9g4BEM/mZvAvzVWhwLsPgdqf3R/zzw6ar6Qmv+0dCwyC0Z/NcGBv+FHP6P69YM/ks+bXuSFwxduL1izP5zpqN8Rx37iUP57j3B/ocCV1RV5xPJtHg6yTXJcuArwFvbcLQ1yZWq+jlwHCOGca2trr+3rcf3UuB3Z/Fe3g3YO8lVDIasPT3Jv3SYJi2XLnJ9EnBgi/WDwMuTvG82P7dTveJVdR1wLD0Nh+7qezsU75UMrol93Czeyz8GbmOQJ8DnGFyT1akOfyefX4Phk3cA/w7sPNuf2ySPYTB8urd/5nT8c/ti4NjWkzub31OPBaiq77ce7qMZXFfbuY7yfQGDYcs/bUMLTwB2neXP7mFVtXNVPYXB8MorFmiuVNV7q+qxVfUsBgXiFdN8b0e5gcEQ6mWrH7dLs8x1lFGfpSbNdc50lO+oY28zlO/ISSeHtt8feC7we32NUOkq3+mOM9t8h3wG6HTSxVExshbf26r6CYO/t3vM4r38OAYdECvbZ5T7JVk5+2xm1lG+0372m83PbhuCXTW49O4Iuvg8VT1cKL2uPxj8ETkK+PBq7R/g7hd6/217/RzuPiHFWa19E+AHDCYO2bi93mSa8z2Su0++cSV3nyRoO/qd8KqTfIf2eyozT3g17dcFeA+DH7b1FnKuDIY5n8Lgv2Hjzjdtrgwm2tmybbMM+DfgwAWc79bAfdvrjRlMfvDbs30vT/L+mO9cV9v3Dxk94dW0uTK43mjDts39GfTM7LFQ823fz6nJzDZl8GH/HpONjHovt3WfBZ4+9DX73ALNdf32PdusLR8BvGY2ubb17wPe2fX3tK/3MoNr/p425nyjfk9NTeY39fV6N/B3CzVf4CUMJqlaxuBaulOA501zvpG/p4DN2/O2wHeYZqKzBZLr+sCD2utHMxiyvWzMeZ/KPSeS+Rx3n/Dqz+Yz16H17+DukwQta9+j7blrwqtHzibXoXVX0d+EV53kO9S+HRN89ptuOwbXf1829bO7kPMddZxZ5rvj0OvXAscs0Fw3o02OCtyXwZwRz12T93Jb39eEV52+lyfJZdQ23PVZOQyGUL9vrfPr44u2rj+AJzMYUnMRcEF77MXgGplTGHw4PIW7PvgF+AcG13xeDKwYOtYfMZhMYyWDobGjzvmWtv93GZrhmMFwpmsZXES+CnjlAs/368D1wP/f4t19xDnv8XVhUGAVgwvrp+L444WYK/D77XtywdDjsbPIdQvg7BbHpQyGsIz84LIA8n1WO8aF7fmA2b6Xh9Y/lX6K387ex0PH/ENGFL+jcmUwlPbC9rgUeEvXuXb8vf2dtnxhex75O2a693JrfyjwtRbLKQyGUS+4XFd7L1/MYBbJDWaTa1t3JfCIPr6vPeS7HfDfzPAPxTHf2z9l8Dv5IuBLtIJrIebLoCD8pxbvZcCHZvOz29q/3va9EHjGAs71Pi3Oyxj8c2Pavz9DOd3j7zKD31Vnte/552j/BJvHXB/c4rsF+El7PXVXhL0Y/NP1+4z5nTom19e15TsY9HB/YgF8b8flO9Fnv1Hbte/p1UNxdDr7cZf5jjrOLPP9PIN/AE39ntpqgeb6aOD8dpxLgLfN9r282jZ9Fb+dvZeHjvlUxhfyo352/5PB775LgH+hzZa9No+0A0uSJEmStGh5za8kSZIkadGz+JUkSZIkLXoWv5IkSZKkRc/iV5IkSZK06Fn8SpIkSZIWPYtfSZLWMRn4RpI9h9penOTE/9fe/bvqHAVwHH9/dBMpCwuDzSILYWBV7moRk8GiKKvFcNlMVgaT1I0/4ZaJ6SZFNhZmyfUMuN2P4XnUnf14vp5v71d9t9Ppc6Zvn87pnCFzSZL0P/OpI0mSFlCSo0zfZz3G9I3bV8By23d/MOdS282/FFGSpP+K5VeSpAWV5C4wAfYAG23vJLkMXAN2Ai+A6223kjwAjgO7gdW2t2dzfATuA8vAvbZPBliKJEn/3NLQASRJ0m9bAV4C34ETs93g88DptpuzwnsReAzcbPspyRLwLMnTtm9n80zanhliAZIkzYvlV5KkBdV2kmQV+Nr2W5KzwElgPQlMd3k/zIZfSnKF6b//IHAE+FV+V+ebXJKk+bP8SpK02LZmH0CAh21vbR+Q5DBwAzjV9nOSR8CubUMmc0kqSdKAvO1ZkqTxWAMuJNkPkGRfkkPAXmAD+JLkAHBuwIySJA3CnV9Jkkai7eskK8Bakh3AD+AqsM70iPMb4D3wfLiUkiQNw9ueJUmSJEmj57FnSZIkSdLoWX4lSZIkSaNn+ZUkSZIkjZ7lV5IkSZI0epZfSZIkSdLoWX4lSZIkSaNn+ZUkSZIkjZ7lV5IkSZI0ej8BaZqNNEY7XkYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-North Western')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a25d5d2d0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Southern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a263d09d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-South Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a259553d0>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-South Eastern')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a268ccc90>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Southeast Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26a85f50>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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twEHACVV1ZZKt6BWwk9kYOKrNyrwWcFxVfTPJVcCxST4IXAwc3vY/HDgmyRJ6Pb57A7RrHgdcBdwL7F9V9wEkOYDeM4fnAUdU1ZUjtVqSJEmSNKdMWvxW1VnAWUnWa+tLgbeMcNxlwNMHxJfSu/93xfhvgFdNcK6DgYMHxE8GTp4sF0mSJEnS3DbKbM/Pab21V7f1pyX59NgzkyRJkiSpI6Pc8/sJYGfg5wBVdSnwvHEmJUmSJElSl0YpfqmqG1YI3TeGXCRJkiRJGotRJry6IcmfANVmVX4LbQi0JEmSJEmzwSg9v38N7A9sQu/Zutu2dUmSJEmSZoVRZnu+ld4zfiVJkiRJmpVGme35qCTr961vkOSI8aYlSZIkSVJ3Rhn2/NSqumP5SlXdzoDn90qSJEmStLoapfhdK8kGy1eSbMhoE2VJkiRJkrRaGKWI/SjwgyTHt/VXAQePLyVJkiRJkro1yoRXRydZDOwIBNizqq4ae2aSJEmSJHVkwuI3yfyqurMNc/4f4Et92zasqttmIkFJkiRJkqZrWM/vl4CXAhcC1RdPW99qjHlJkiRJktSZYcXvh9r7k6rqNzORjCRJkiRJ4zBstud/be8/mIlEJEmSJEkal2E9v/ckORLYNMmhK26sqreMLy1JkiRJkrozrPh9KfAierM8Xzgz6UiSJEmS1L1hxe87q+rdSTavqqNmLCNJkiRJkjo27J7f3ZKsA+w9U8lIkiRJkjQOw3p+TwVuBdZLcid/eMRRgKqq+TOQnyRJkiRJ0zZhz29VvbOqHgF8q6rmV9XD+99nMEdJkiRJkqZlWM/vcm9L8lJ6vb5XVdV1Y85JkiRJkqROTVj8JpkPfB54JnApveHOT0tyIfCGqrpzZlKUJEmSJGl6hk14dShwFbCwqvasqj2ArYHLgU/NRHKSJEmSJHVh2LDnHarqL/oDVVXA+5NcO9asJEmSJEnq0LCe38xYFpIkSZIkjdGw4vf7Sf45yf2K4CT/Bzh3vGlJkiRJktSdYcOe/xY4HFiS5BJ6sz0/HbgYeMMM5CZJkiRJUicmLH7bbM6vSrI1sA29YdDvrqofz1RykiRJkiR1YdLn/LZi14JXkiRJkjRrDbvnd1qSbJbkjCRXJ7kyyVtb/L1Jfprkkvbare+Yg5IsSXJNkp374ru02JIkB/bFt0xyXpJrk3wlybrjao8kSZIkafYaW/EL3Av8fVU9Cdge2D/JNm3bx6tq2/Y6GaBt2xt4MrAL8Okk85LMA/4N2JXe8Ot9+s5zSDvXQuB2vBdZkiRJkjTA0OI3yVpJrliZE1fVTVV1UVu+C7ga2GTIIbsDx1bV3VV1HbAE2K69llTV0qr6LXAssHubhXpH4Ph2/FHAK1YmV0mSJEnSmm1o8VtVvwMuTbL5dC6SZAt6M0Wf10IHJLksyRFJNmixTYAb+g5b1mITxR8J3FFV964QlyRJkiTpfkYZ9rwxcGWS7yQ5aflr1AskeRjwNeBtbQbpzwBbA9sCNwEfXb7rgMNrJeKDctgvyeIki2+55ZZRU5ckSZIkrSEmne0ZeN/KnjzJOvQK3y9W1dcBqupnfds/B3yzrS4DNus7fFPgxrY8KH4rsH6StVvvb//+91NVhwGHASxatGhggSxJkiRJWnNN2vNbVWcB1wPrtOULgIsmO67dk3s4cHVVfawvvnHfbnsAy+8pPgnYO8mDkmwJLATOb9db2GZ2XpfepFgnVVUBZwB7teP3BU6cLC9JkiRJ0twzac9vkr8C9gM2pDdceRPgs8ALJzl0B+C1wOVJLmmxf6A3W/O29IYoXw+8CaCqrkxyHHAVvZmi96+q+1oOBwCnAfOAI6rqyna+dwPHJvkgcDG9YluSJEmSpPsZZdjz/vRmXD4PoKquTfKoyQ6qqu8x+L7ck4ccczBw8ID4yYOOq6qlLTdJkiRJkiY0yoRXd7dHDAGQZG0mmFhKkiRJkqTV0SjF71lJ/gF4SJIXA18FvjHetCRJkiRJ6s4oxe+BwC3A5fTuzz0Z+KdxJiVJkiRJUpcmvee3qn4HfK69JEmSJEmadUaZ7XkH4L3A49r+AaqqthpvapIkSZIkdWOU2Z4PB94OXAjcN950JEmSJEnq3ijF7y+q6pSxZyJJkiRJ0phMWPwmeUZbPCPJh4GvA3cv315VF405N0mSJEmSOjGs5/ejK6wv6lsuYMfu05EkSZIkqXsTFr9V9QKAJFtV1dL+bUmc7EqSJEmSNGuM8pzf4wfEvtp1IpIkSZIkjcuwe36fCDwZeESSPfs2zQcePO7EJEmSJEnqyrB7fv8IeCmwPvCyvvhdwF+NMylJkiRJkro07J7fE4ETkzynqs6ZwZwkSZIkSerU0Ht+k+wKHJLk1iS3JDkryW4zlJskSZIkSZ0Yds/vXwFvAt4FLG7hRcCHkmxaVYfNQH6SJEmSJE3bsHt+3w48t6pu64v9V+sN/h5g8StJkiRJmhWGDXvOCoUvAFX18zHmI0mSJElS54YVv3cmedqKwRa7a3wpSZIkSZLUrWHDnv8eOCnJkcCFQAHPAvYF/vcM5CZJkiRJUicm7Pmtqu8B27V9/gL4y7a8fdsmSZIkSdKsMKznl6r6GfDPM5SLJEmSJEljMfQ5v5IkSZIkrQksfiVJkiRJazyLX0mSJEnSGm/Ce36TfIPeDM8DVdXLx5KRJEmSJEkdGzbh1Ufa+57AY4B/b+v7ANePMSdJkiRJkjo1YfFbVWcBJPlAVT2vb9M3kpw99swkSZIkSerIKPf8Lkiy1fKVJFsCC8aXkiRJkiRJ3Rr6nN/m7cCZSZa29S2AN40tI0mSJEmSOjZp8VtVpyZZCDyxhX5YVXePNy1JkiRJkroz6qOOngk8GXga8GdJXjfZAUk2S3JGkquTXJnkrS2+YZLTk1zb3jdo8SQ5NMmSJJcleUbfufZt+1+bZN+++DOTXN6OOTRJptJ4SZIkSdLcMGnxm+QYejM/Pxd4VnstGuHc9wJ/X1VPArYH9k+yDXAg8J2qWgh8p60D7AosbK/9gM+0628IvAd4NrAd8J7lBXPbZ7++43YZIS9JkiRJ0hwzyj2/i4BtqmrCZ/4OUlU3ATe15buSXA1sAuwOPL/tdhRwJvDuFj+6XefcJOsn2bjte3pV3QaQ5HRglyRnAvOr6pwWPxp4BXDKVPKUJEmSJK35Rhn2fAW95/yutCRbAE8HzgMe3Qrj5QXyo9pumwA39B22rMWGxZcNiA+6/n5JFidZfMstt0ynKZIkSZKkWWiUnt+NgKuSnA/8fqKrqnr5KBdI8jDga8DbqurOIbflDtpQKxF/YLDqMOAwgEWLFk2pB1uSJEmSNPuNUvy+d2VPnmQdeoXvF6vq6y38syQbV9VNbVjzzS2+DNis7/BNgRtb/PkrxM9s8U0H7C9JkiRJ0v1MOuy5qs4a9JrsuDbz8uHA1VX1sb5NJwHLZ2zeFzixL/66Nuvz9sAv2rDo04CdkmzQJrraCTitbbsryfbtWq/rO5ckSZIkSb83ac9vK0Q/CTwJWBeYB/yqquZPcugOwGuBy5Nc0mL/AHwIOC7JG4D/Bl7Vtp0M7AYsAX4NvB6gqm5L8gHggrbf+5dPfgW8GfgC8BB6E1052ZUkSZIk6QFGGfb8KWBv4Kv0Zn5+Hb3HCg1VVd9j8H25AC8csH8B+09wriOAIwbEFwNPmSwXSZIkSdLcNkrxS1UtSTKvqu4DjkzygzHnJUmSJElSZ0Ypfn+dZF3gkiT/Qu/ZveuNNy1JkiRJkrozynN+X9v2OwD4Fb0ZmV85zqQkSZIkSerSpD2/VfWTtvgb4H3jTUeSJEmSpO6N0vMrSZIkSdKsZvErSZIkSVrjWfxKkiRJktZ4E97zm+QbQE20vapePpaMJEmSJEnq2LAJrz7S3vcEHgP8e1vfB7h+jDlJkiRJktSpCYvfqjoLIMkHqup5fZu+keTssWcmSZIkSVJHRrnnd0GSrZavJNkSWDC+lCRJkiRJ6takz/kF3g6cmWRpW98C2G9sGUmSJEmS1LGhxW+StYA7gYXAE1v4h1V197gTkyRJkiSpK0OL36r6XZKPVtVzgEtnKCdJkiRJkjo1yj2/307yyiQZezaSJEmSJI3BKPf8/h2wHnBvkt8AAaqq5o81M0mSJEmSOjJp8VtVD5+JRCRJkiRJGpdRen5JsgG9Sa8evDxWVT7rV5IkSZI0K0xa/CZ5I/BWYFPgEmB74Bxgx/GmJkmSJElSN0aZ8OqtwLOAn1TVC4CnA7eMNStJkiRJkjo0SvH7m6r6DUCSB1XVD4E/Gm9akiRJkiR1Z5R7fpclWR/4D+D0JLcDN443LUmSJEmSujPKbM97tMX3JjkDeARw6lizkiRJkiSpQ6PO9vw04E/b6ner6rfjS0mSJEmSpG5Nes9vkrcCXwQe1V7/nuRvx52YJEmSJEldGaXn9w3As6vqVwBJDqH3qKNPjjMxSZIkSZK6MspszwHu61u/r8UkSZIkSZoVRun5PRI4L8kJbf0VwOHjS0mSJEmSpG6NMtvzx5KcCTyXXo/v66vq4nEnJkmSJElSV0aa7bmqLkryQ2AbYNl4U5IkSZIkqVsT3vOb5OVJrk9yUZLdgCuBTwGXJ9l3shMnOSLJzUmu6Iu9N8lPk1zSXrv1bTsoyZIk1yTZuS++S4stSXJgX3zLJOcluTbJV5KsuxLtlyRJkiTNAcMmvPoAsBPwJuA44IVVtT3wVOAdI5z7C8AuA+Ifr6pt2+tkgCTbAHsDT27HfDrJvCTzgH8DdqXX67xP2xfgkHauhcDt9GalliRJkiTpAYYVv7+rqh9V1QXAdVW1FKCqbgbunezEVXU2cNuIeewOHFtVd1fVdcASYLv2WlJVS6vqt8CxwO5JAuwIHN+OP4reRFySJEmSJD3AsOJ3rSQbJHkk8Lu2vGGSDSc5bjIHJLmsDYveoMU2AW7o22dZi00UfyRwR1Xdu0J8oCT7JVmcZPEtt9wyjdQlSZIkSbPRsCL2EcBFwGJgflu+sL0evpLX+wywNbAtcBPw0RYf9NzgWon4QFV1WFUtqqpFCxYsmFrGkiRJkqRZb9hsz4/v61ntRFX9bPlyks8B32yry4DN+nbdFLixLQ+K3wqsn2TtlmP//pIkSZIk3c+wnt9zk/xHkr9OskUXF0uycd/qHsDymaBPAvZO8qAkWwILgfOBC4CFbWbndelNinVSVRVwBrBXO35f4MQucpQkSZIkrXkm7PmtqkVJHkdvpuVPJNkE+B5wCnBWVd097MRJvgw8H9goyTLgPcDzk2xLb4jy9fRmkqaqrkxyHHAVvcm09q+q+9p5DgBOA+YBR1TVle0S7waOTfJB4GLg8Kk3X5IkSZI0Fwwb9kxV/QT4LPDZJOsAf0rvUUQfTHJLVb1kyLH7DAhPWKBW1cHAwQPiJwMnD4gvpTcbtCRJkiRJQw0tfvtV1T1JLgZurap3tZ5gSZIkSZJWe5M+sijJmUnmt0ccXQocmeRjVfXT8acnSZIkSdL0jfK83kdU1Z3AnsCRVfVM4EXjTUuSJEmSpO6MUvyu3WZpfjV/eDSRJEmSJEmzxijF7/vozba8pKouSLIVcO1405IkSZIkqTujTHh1U1U9dflKVS1N8rEx5iRJkiRJUqdG6fn95IgxSZIkSZJWSxP2/CZ5DvAnwIIkf9e3aT4wb9yJSZIkSZLUlWHDntcFHtb2eXhf/E5gr3EmJUmSJElSlyYsfqvqLOCsJF+oqp/MYE6SJEmSJHVq2LDnT1TV24BPJakVt1fVy8eamSRJkiRJHRk27PmY9v6RmUhEkiRJkqRxGTbs+cL2ftbMpSNJkiRJUvcmfc5vkh2A9wKPa/sHqKraarypSZIkSZLUjUmLX+Bw4O3AhcB9401HkiRJkqTujVL8/qKqThl7JpIkSZIkjckoxe8ZST4MfB24e3mwqi4aW1aSJEmSJHVolOL32e19UV+sgB27T0eSJEmSpO5NWvxW1QtmIhFJkiRJksZlwuI3yd+tECrgVuB7VXXdWLOSJEmSJKlDaw3Z9vAVXvPpDX0+JcneM5CbJEmSJEmdmLDnt6reNyieZEPgP4Fjx5WUJEmSJEldGtbzO1BV3QZkDLlIkiRJkjQWUy5+k+wI3D6GXCRJkqgYsOAAABpeSURBVCRJGothE15dTm+Sq34bAjcCrxtnUpIkSZIkdWnYo45eusJ6AT+vql+NMR9JkiRJkjo3rPj9GvB94BTgzKr6zcykJEmSJElSt4bd87s9cALwfOCsJCcneWuSJ8xIZpIkSZIkdWTYo47uBc5sL5JsDOwKfDDJQuCcqvqbGchRkiRJkqRpGTbs+X6q6qYkXwCOB34JPGdcSUmSJEmS1KVJH3WU5EtJ5idZD7gKuAb4+6r6/iTHHZHk5iRX9MU2THJ6kmvb+wYtniSHJlmS5LIkz+g7Zt+2/7VJ9u2LPzPJ5e2YQ5P47GFJkiRJ0kCjPOd3m6q6E3gFcDKwOfDaEY77ArDLCrEDge9U1ULgO20desOpF7bXfsBnoFcsA+8Bng1sB7xnecHc9tmv77gVryVJkiRJEjBa8btOknXoFb8nVtU9PPD5vw9QVWcDt60Q3h04qi0f1c65PH509ZwLrN/uMd4ZOL2qbquq24HTgV3atvlVdU5VFXB037kkSZIkSbqfUYrf/x+4HlgPODvJ44A7V/J6j66qm6B3DzHwqBbfBLihb79lLTYsvmxAfKAk+yVZnGTxLbfcspKpS5IkSZJmq0mL36o6tKo2qardWs/sT4AXdJzHoPt1ayXiA1XVYVW1qKoWLViwYCVTlCRJkiTNVqNMePXoJIcnOaWtbwPsO8lhE/lZG7K8/NFJN7f4MmCzvv02BW6cJL7pgLgkSZIkSQ8wyrDnLwCnAY9t6z8C3raS1zuJPxTO+wIn9sVf12Z93h74RRsWfRqwU5IN2kRXOwGntW13Jdm+zfL8ur5zSZIkSZJ0P6MUvxtV1XHA7wCq6l7gvskOSvJl4Bzgj5IsS/IG4EPAi5NcC7y4rUNvFumlwBLgc8DftGvdBnwAuKC93t9iAG8GPt+O+TFwyghtkSRJkiTNQWuPsM+vkjySdk/t8p7ZyQ6qqn0m2PTCAfsWsP8E5zkCOGJAfDHwlMnykCRJkiRplOL37+gNS946yfeBBcBeY81KkiRJkqQOTVr8VtVFSf4X8Ef0Zlm+pj3rV5IkSZKkWWGUnl+A7YAt2v7PSEJVHT22rCRJkiRJ6tCkxW+SY4CtgUv4w0RXBVj8SpIkSZJmhVF6fhcB27RJqSRJkiRJmnVGedTRFcBjxp2IJEmSJEnjMkrP70bAVUnOB+5eHqyql48tK0mSJEmSOjRK8fvecSchSZIkSdI4jfKoo7OSPBp4VgudX1U3jzctSZIkSZK6M+k9v0leDZwPvAp4NXBekr3GnZgkSZIkSV0ZZdjzPwLPWt7bm2QB8J/A8eNMTJIkSZKkrowy2/NaKwxz/vmIx0mSJEmStFoYpef31CSnAV9u638GnDK+lCRJkiRJ6tYoE169M8mewHOBAIdV1Qljz0ySJEmSpI5MWPwm2bmqTgOoqq8DX+/b9qqq+uoM5CdJkiRJ0rQNu3f35CRnJNlkwLaDxpWQJEmSJEldG1b8XgZ8CTg3yatW2JbxpSRJkiRJUreGFb9VVZ8DXgi8K8mRSR66fNv4U5MkSZIkqRuTPrKoqn4EPAf4GXBxkmePPStJkiRJkjo0bLbn3w9trqp7gQOTnErvkUcLxp2YJEmSJEldGVb8vm/FQFWdmeSZwJvGl5IkSZIkSd2asPitqv+YIH478KGxZSRJkiRJUscmvedXkiRJkqTZzuJXkiRJkrTGm7T4TXJAkg1mIhlJkiRJksZhlJ7fxwAXJDkuyS5JMukRkiRJkiStRkZ5zu8/AQuBw4G/AK5N8v8l2XrMuUmSJEmS1ImR7vmtqgL+p73uBTYAjk/yL2PMTZIkSZKkTgx7zi8ASd4C7AvcCnweeGdV3ZNkLeBa4F3jTVGSJEmSpOmZtPgFNgL2rKqf9Aer6ndJXjqetCRJkiRJ6s4o9/z+c1X9JMmjkmy+/NW2Xb0yF01yfZLLk1ySZHGLbZjk9CTXtvcNWjxJDk2yJMllSZ7Rd5592/7XJtl3ZXKRJEmSJK35RnnU0cuSXAtcB5wFXA+c0sG1X1BV21bVorZ+IPCdqloIfKetA+xKb8KthcB+wGdaXhsC7wGeDWwHvMdHMkmSJEmSBhllwqsPAtsDP6qqLYEXAt8fQy67A0e15aOAV/TFj66ec4H1k2wM7AycXlW3VdXtwOnALmPIS5IkSZI0y41S/N5TVT8H1kqyVlWdAWw7zesW8O0kFybZr8UeXVU3AbT3R7X4JsANfccua7GJ4pIkSZIk3c8oE17dkeRhwNnAF5PcTO9xR9OxQ1XdmORRwOlJfjhk3wyI1ZD4A0/QK7D3A9h8882nmqskSZIkaZYbped3d+DXwNuBU4EfAy+bzkWr6sb2fjNwAr17dn/WhjPT3m9uuy8DNus7fFPgxiHxQdc7rKoWVdWiBQsWTCd1SZIkSdIsNErx+2fA1lV1b1UdVVWHtmHQKyXJekkevnwZ2Am4AjiJ3vOEae8ntuWTgNe1WZ+3B37RhkWfBuyUZIM20dVOLSZJkiRJ0v2MMux5C+B/J9kCWAx8F/huVV2yktd8NHBCkuXX/1JVnZrkAuC4JG8A/ht4Vdv/ZGA3YAm9HujXA1TVbUk+AFzQ9nt/Vd22kjlJkiRJktZgkxa/VfXPAEkeAvwV8E7gE8C8lblgVS0FnjYg/nN6M0mvGC9g/wnOdQRwxMrkIUmSJEmaOyYtfpP8E7AD8DDgYuAd9Hp/JUmSJEmaFUYZ9rwnvdmdvwWcBZxbVb8Za1aSJEmSJHVo0gmvquoZ9IYjnw+8GLg8yffGnZgkSZIkSV0ZZdjzU4A/Bf4XsAi4AYc9S5IkSZJmkVGGPR8CnA0cClxQVfeMNyVJkiRJkro1ymzPL5mJRCRJkiRJGpcJi98klwM1aBO9JxA9dWxZSZIkSZLUoWE9vy+dsSwkSZIkSRqjCYvfqvrJTCYiSZIkSdK4DBv2/L2qem6Su7j/8Oflw57njz07SZIkSZI6MKzn97nt/eEzl44kSZIkSd0b5VFHACR5FPDg5etV9d9jyUiSJEmSpI6tNdkOSV6e5FrgOuAs4HrglDHnJUmSJElSZyYtfoEPANsDP6qqLYEXAt8fa1aSJEmSJHVolOL3nqr6ObBWkrWq6gxg2zHnJUmSJElSZ0a55/eOJA8Dzga+mORm4N7xpiVJkiRJUndG6fndHfg18HbgVODHwMvGmZQkSZIkSV2atOe3qn7VFn8HHJVkHrA38MVxJiZJkiRJUlcm7PlNMj/JQUk+lWSn9BwALAVePXMpSpIkSZI0PcN6fo8BbgfOAd4IvBNYF9i9qi6ZgdwkSZIkSerEsOJ3q6r6Y4AknwduBTavqrtmJDNJkiRJkjoybMKre5YvVNV9wHUWvpIkSZKk2WhYz+/TktzZlgM8pK0HqKqaP/bsJEmSJEnqwITFb1XNm8lEJEmSJEkal1Ge8ytJkiRJ0qxm8StJkiRJWuNZ/EqSJEmS1ngWv5IkSZKkNZ7FryRJkiRpjWfxK0mSJEla48364jfJLkmuSbIkyYGrOh9JkiRJ0upnVhe/SeYB/wbsCmwD7JNkm1WblSRJkiRpdTOri19gO2BJVS2tqt8CxwK7r+KcJEmSJEmrmdle/G4C3NC3vqzFJEmSJEn6vVTVqs5hpSV5FbBzVb2xrb8W2K6q/naF/fYD9murfwRcM6OJwkbArTN8zVXJ9q655lJbYW61dy61FeZWe+dSW2FutXcutRXmVnvnUlthbrV3LrUVVl17H1dVC1YMrr0KEunSMmCzvvVNgRtX3KmqDgMOm6mkVpRkcVUtWlXXn2m2d801l9oKc6u9c6mtMLfaO5faCnOrvXOprTC32juX2gpzq71zqa2w+rV3tg97vgBYmGTLJOsCewMnreKcJEmSJEmrmVnd81tV9yY5ADgNmAccUVVXruK0JEmSJEmrmVld/AJU1cnAyas6j0mssiHXq4jtXXPNpbbC3GrvXGorzK32zqW2wtxq71xqK8yt9s6ltsLcau9caiusZu2d1RNeSZIkSZI0itl+z68kSZIkSZOy+J1Aks2SnJHk6iRXJnlri2+Y5PQk17b3DVo8SQ5NsiTJZUme0Xeufdv+1ybZd8g1D2rHX5Nk5774EUluTnLFLGjrqUnuSPLNSa75gD+TJA9N8q0kP2x5fGh1bm+SbZOc085xWZI/m0p7W/zUJJe2c3w2ybzVtK2PS3Jhkkvaef56yDUHfo7btnlJLp7s87Gq29t3vvlJfprkU1Ntb5Lrk1ze/swWr85tTXJfy/OSJBNOGjjkc7xuksOS/Kj9/L5yNW/v5km+3c51VZItRm1vkof3/VldkuTWJJ9YHdua5AUr5PqbJK8Yta0tvk/7HF+W3r9XG3XZ1i7b27b9SzvH1W2fTHDNiX5u35rkinaOt63mbT2k5XpFhv/+Gfh7Ob3JQs9r1/xKehOHrur2PjG936t3J3nHCufapf19LUly4Eq094B2bK0mn+NhbR3pe99E+yX5cHr/Fl+W5IQk66+u7Z3oPFNs7wdaWy9J79/2x66mbX1wkvPzh+997xtyzaHfp5N8Mskvu2xn37k7+yy37ZN+9xvyc/uFJNflD7/Htp12A6vK14AXsDHwjLb8cOBHwDbAvwAHtviBwCFteTfgFCDA9sB5Lb4hsLS9b9CWNxhwvW2AS4EHAVsCPwbmtW3PA54BXLE6t7VteyHwMuCbQ6438M8EeCjwgrbPusB3gV1X1/YCTwAWtuXHAjcB64/a3rZtfnsP8DVg79W0resCD2rLDwOuBx47lc9x2/53wJeGfT5Wh/b2ne9fW76fmuB6w35urwc2Gkc7x/Bz+8sRrjfsc/w+4INtea1xtLvj9p4JvLjv8/zQqbR3hf0uBJ63urZ1hfbcNpW20psX5Oblf5/t+u9dXf9ugT8Bvk9vAsx5wDnA8wdcb+DPLfAU4Ap6v4vWBv6T9m/8atjWlwCntzzXAxbTfp8MuObA38vAcbTfOcBngTevBn+3jwKeBRwMvKPvPPPa39NW9H4fXQpsM8X2Ph3YgjH929xVW9u2kb73TbQfsBOwdls+ZPk1V8f2TnSeKbZ3ft/yW4DPrqZtDfCwtrwOcB6w/VQ+x23bIuAYRvjdvao/y237pN/9hvzcfgHYq8v22fM7gaq6qaouast3AVcDmwC7A0e13Y4Clv8v+u7A0dVzLrB+ko2BnYHTq+q2qrqd3i+rXQZccnfg2Kq6u6quA5YA27Xrn03vS8tYdNhWquo7wF2TXHLgn0lV/bqqzmjn+S1wEb1nN3eqq/ZW1Y+q6tp2nhvpfUl8wMO0J2pvO+7Ots/a9H6hd3oTfodt/W1V3d32eRATjxqZ8HOcZFN6X9g+32Ub+3X5WU7yTODRwLeHXHLC9o5bl20d0bB/y/4S+L8tl99VVecPs++qvUm2ofel8PR2rl9W1a+n2F4Akiyk90v/u6tjW1c47V7AKVNsa9prvSQB5gM3dtXO5TpsbwEPpv1nHb0vlz8bcMmJfm6fBJzbfhfdC5wF7LGatnUb4KyqureqfkWvGBz03WLg7+X297kjcPyAa3Zmqu2tqpur6gLgnhVOtR2wpKqWtu8Hx7ZzDLrmwO8hVXVxVV0/7UZNoMO2jvy9b6L9qurb7TMMcC6rwXepido75DyDrjlRe+/sW12PVfxdakhbq6qW99au014Dc53oc5zeCMEPA++aZrMm1OVnedTvfhO1dxwsfkeQ3pC4p9P7H5pHV9VN0Ptw0PviA70PxQ19hy1rsYniKxp1v7GaZltHNenxbYjOy4DvTOG8U9ZVe5NsR+8L148HXGbo8UlOo1c438Ufvoh0brptbcNgLmvbD6lewb+iYW39BL1/rH/XQXMmNZ32JlkL+CjwzkkuM6y9BXw7veHi+618SybXwef4wUkWJzk3EwyLnej4vuF0H0hyUZKvJnn0dNs0zDTb+wTgjiRfb8OwPpzBtxuM8u/cPsBXqqrTL1r9Ovw3eW/gyxNcZuDxVXUP8GbgcnpF7zbA4SvZlJFMp71VdQ5wBr1RODcBp1XV1QMuM9Gf1xXA85I8MslD6fW6btZNyx5omn+3lwK7pne70EbAC6aY6yOBO/oKpLF/5xixvRNZLb4jjWqabe3aX9IbPTA2XbV3hfNMNYeDk9wAvAb456keP4XrbME02tqGAF9C73vf6VU11bYeAJy0/Lrj1sHfbRff/Q5uw9o/nuRB0zgPYPE7qSQPozcc9W0r/M/SA3YdEKsh8VGPnzEdtHXkSw07Psna9L6kHVpVS6dw3inpqr3tf+GPAV5fVYN+uIceX1U70xti8iB6/xPfuS7aWlU3VNVTgccD+05Q4Aw8PslLgZur6sIppr5SOmjv3wAnV9UNA7aPcjzADlX1DGBXYP8kz5vkXCulo8/x5lW1CPhz4BNJtp7C8WvT61X4fmvvOcBHRs1/qjpo79rAnwLvoDdMayvgL6ZwfL9hBeW0dfxv1B8Dp03l+CTr0Ct+n07v1o7LgINGSH2lTLe9SR5Pr/d2U3qF0Y4T/NwNPL4VyofQ6/k+lV6Bee+Afadtum2tqm/Te8zjD+h9Bs9harnO6HeOKbR3wlMMiM3od6RRddDWLnP5R3qfi//X3v3FyFXVARz//nDTUIkkFFCLgPhAQgSxbSr+QU1FCRWRpA9WjUaIGEOk/nlTUzVWNGnwT0iMDxCVxBRiXRCjMfpANRH1AYm0bNto+kcSMMa/aYD6t/Lz4Zy1d7cz0727d3ZmJ99PcrOzM3fOPb855965595zztw7xG10Eu9S08nM7Zl5ESXWbYvNxyBdxJqZ/83MdZTj1FURcUWL7V8AvAP46mK23dZS4+3o3O+TwGWU7+s1wMeXkBZg43eg+sX/AHBvZn63Pv3HRrfItZQrN1CuQjavul5IuVLe8/mI2NIYvL1xwPuXRUex9kv71Y1Yb1zA++8GDmVmp5PIzMtTJ/FGxNnAD4FP1S5pi4mXzPwn8H36dONaiq7Ltt7xPQC8oUU9vhq4MSKeoHRXuyYidnUY5v91FO9rgW01v18C3hcRO9vst7N3xjPzT8CDDKE7dFdl28jrUcp42PUt6vFfgb/XGAGmKWOyOtfhMfmxLN0nTwDfAza03W8j4pWU7tNDuaDT8X67FXiw3sltc4xaB5CZR+rd7e9QxtV2rqN4t1C6LT9buxb+CHhNy/32G5m5ITPfSOleeWhMYyUzv5CZ6zLzWkrj8FCPsu3nL5Qu1FPz0+1ay3j76XcutdB4l0VHsfZL+6JGrH0nnWysfxNwA/CeYfVO6SreXum0jbfhPmAYky52WraZeYzyfbu5RT1eT7kBcbienzw/Ig63j+b0Ooq357lfm/22dsHOLEPv7qGLc6kcwkDpSVgoXyTfAu6c9/wXmTvY+476+G3MnZTikfr8GuB3lMlDzqmP1/TY3uXMnYDjKHMnCrqE4U141Umsjfdt4vQTXvX8TIDPU3a2M1ZA2a6idMv+2Gm21zNeykQ7a+s6U8BuYNuYxnohsLo+Pocy+cEr2tbjhdSPcYh33ntvpv+EVz3jpYw5ekFd5yzK3ZnN4xhrLc/ZyczOo5zsnzLZSL96XF/7NnBN4/OaHteyreWzDzi//n8PcFubeOvrO4EdK6EeU8b8vWnA9vodo2Yn8pv9rG4Hvjyu8QLvpExSNUUZS7cHeHuP7fU9TgEvrH8vBn5Dj0nOxiTW5wHn1sdXUrpsTw3Y7iZOnUhmmrkTXn1o1GXbeP2zzJ0oaKqW08s4OeHV5W3ibbz2BMOZ8KqTWBvPX8ICzvt6rUcZ/31wdt8dxtJh2fZMp2W8lzYefxi4f0xjPZ86MSqwmjJfxA2Lqcf19WFNeNVpXV5ILP3W4eR5clC6UO9ccnzD+NAmYQFeT+lS8ziwty7XU8bJ7KGcIO7h5MlfAF+jjPmcATY20no/ZUKNw5Susf22ub2+/7c0ZjmmdGn6A2Ug+VPALWMc68PAn4F/1Lxe12ebp3wmlAZWUgbWz+bjA+NatsB7a5nsbSzrWsT7IuBXNR8HKN1Y+p68jDjWa2sa++rfD7atx43XNzG8xm9ndbmR5s30afz2i5fSlXZfXQ4A28c1VsqdvJma1xkGHF961eP6/EuBn9W87KF0ox7LeOfV5xnKTJKr2sRbXzsKXDbu9Zhyovh7TnNBcUDZ3ko5Jj8O/IDa4BrHeCkNwrtqfg8CX2mz39bnH67v3Qe8eYxjPbPm8yDl4kbP755GTKd8L1OOU4/UMp+mXgQbcbwvrnl8GjhWH8/+KsL1lAuvRxhwTB0Q70fq/ycod7m/PsaxLui8r996tUyfbOSj09mPu4y3Xzot432AcgFo9jj1kjGN9UrgsZrOfuAzbevxvHWG1fjtrC430tzE4IZ8v/32J5Rj335gF3W27KUsUROWJEmSJGliOeZXkiRJkjTxbPxKkiRJkiaejV9JkiRJ0sSz8StJkiRJmng2fiVJkiRJE8/GryRJK0wUP4+Itzae2xoRPx5lviRJGmf+1JEkSStQRFxB+X3W9ZTfuN0LbM7MI0tIcyozT3SURUmSxoqNX0mSVqiIuAM4DpwFPJOZt0fETcBtwCrgl8C2zHwuIu4GNgCrgd2Z+bmaxlPAXcBm4M7MnB5BKJIkDd3UqDMgSZIWbQfwa+DfwMZ6N3gL8LrMPFEbvO8C7gM+kZl/i4gp4KcRcX9mHqzpHM/Mq0cRgCRJy8XGryRJK1RmHo+I3cCzmfmviHgL8Crg0YiAcpf3ybr6uyPiFsp3/wXAy4HZxu/u5c25JEnLz8avJEkr23N1AQjgm5n56eYKEXEp8FHgqsw8FhG7gDMbqxxflpxKkjRCzvYsSdLkeAjYGhHnAUTEuRFxMXA28AzwdESsBa4bYR4lSRoJ7/xKkjQhMnMmInYAD0XEGcB/gFuBRyldnPcDR4FfjC6XkiSNhrM9S5IkSZImnt2eJUmSJEkTz8avJEmSJGni2fiVJEmSJE08G7+SJEmSpIln41eSJEmSNPFs/EqSJEmSJp6NX0mSJEnSxLPxK0mSJEmaeP8DbO3rLdd6iaIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-South Western')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26acc250>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Western')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a26f72e90>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-West Central')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a27112f90>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 6))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Production Units')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a281b2310>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 4))\n",
    "sns.barplot(data=users,x='Year', y='Railway Zones/Units/Board and Other Offices-Railway Board&Metropolitan Transport Projects')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a28d2ca10>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 5))\n",
    "sns.barplot(data=users,x='Year', y='Grand Total')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1a2993e990>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 509.75x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(users, hue='Year', size=6,).\\\n",
    "                   map(plt.scatter, 'Year',\n",
    "                   'Grand Total').add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "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": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}

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