{ "cells": [ { "cell_type": "markdown", "id": "5a9b9e36", "metadata": {}, "source": [ "## Name : ADVAIT GURUNATH CHAVAN\n", "## Contact No : +91 70214 55852\n", "## Mail ID : advaitchavan135@gmail.com \n", "\n", "\n", "## Oasis Infobyte Data Science Internship\n", "## Task 2 : Unemployment Analysis with Python" ] }, { "cell_type": "markdown", "id": "c0c6d027", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "id": "881c9779", "metadata": {}, "source": [ "### 1. Importing the necessary dependencies" ] }, { "cell_type": "code", "execution_count": 1, "id": "7a5c6de8", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from warnings import filterwarnings\n", "filterwarnings(action='ignore')\n", "import calendar\n", "import datetime as dt\n", "import plotly.io as plio\n", "plio.templates\n", "import plotly.express as px\n", "import plotly.graph_objects as go\n", "import plotly.figure_factory as ff\n", "\n", "from IPython.display import HTML,display" ] }, { "cell_type": "markdown", "id": "73f4bd50", "metadata": {}, "source": [ "### 2. Exploring the dataset" ] }, { "cell_type": "code", "execution_count": 2, "id": "4c7be8dc", "metadata": {}, "outputs": [], "source": [ "unemp = pd.read_csv('Unemployment in India.csv')" ] }, { "cell_type": "code", "execution_count": 3, "id": "3003a2d6", "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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RegionDateFrequencyEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)Area
0Andhra Pradesh31-05-2019Monthly3.6511999139.043.24Rural
1Andhra Pradesh30-06-2019Monthly3.0511755881.042.05Rural
2Andhra Pradesh31-07-2019Monthly3.7512086707.043.50Rural
3Andhra Pradesh31-08-2019Monthly3.3212285693.043.97Rural
4Andhra Pradesh30-09-2019Monthly5.1712256762.044.68Rural
........................
749West Bengal29-02-2020Monthly7.5510871168.044.09Urban
750West Bengal31-03-2020Monthly6.6710806105.043.34Urban
751West Bengal30-04-2020Monthly15.639299466.041.20Urban
752West Bengal31-05-2020Monthly15.229240903.040.67Urban
753West Bengal30-06-2020Monthly9.869088931.037.57Urban
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754 rows × 7 columns

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" ], "text/plain": [ " Region Date Frequency Estimated Unemployment Rate (%) \\\n", "0 Andhra Pradesh 31-05-2019 Monthly 3.65 \n", "1 Andhra Pradesh 30-06-2019 Monthly 3.05 \n", "2 Andhra Pradesh 31-07-2019 Monthly 3.75 \n", "3 Andhra Pradesh 31-08-2019 Monthly 3.32 \n", "4 Andhra Pradesh 30-09-2019 Monthly 5.17 \n", ".. ... ... ... ... \n", "749 West Bengal 29-02-2020 Monthly 7.55 \n", "750 West Bengal 31-03-2020 Monthly 6.67 \n", "751 West Bengal 30-04-2020 Monthly 15.63 \n", "752 West Bengal 31-05-2020 Monthly 15.22 \n", "753 West Bengal 30-06-2020 Monthly 9.86 \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) Area \n", "0 11999139.0 43.24 Rural \n", "1 11755881.0 42.05 Rural \n", "2 12086707.0 43.50 Rural \n", "3 12285693.0 43.97 Rural \n", "4 12256762.0 44.68 Rural \n", ".. ... ... ... \n", "749 10871168.0 44.09 Urban \n", "750 10806105.0 43.34 Urban \n", "751 9299466.0 41.20 Urban \n", "752 9240903.0 40.67 Urban \n", "753 9088931.0 37.57 Urban \n", "\n", "[754 rows x 7 columns]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp" ] }, { "cell_type": "code", "execution_count": 4, "id": "da67b7ff", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 754 entries, 0 to 753\n", "Data columns (total 7 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Region 740 non-null object \n", " 1 Date 740 non-null object \n", " 2 Frequency 740 non-null object \n", " 3 Estimated Unemployment Rate (%) 740 non-null float64\n", " 4 Estimated Employed 740 non-null float64\n", " 5 Estimated Labour Participation Rate (%) 740 non-null float64\n", " 6 Area 740 non-null object \n", "dtypes: float64(3), object(4)\n", "memory usage: 41.4+ KB\n" ] } ], "source": [ "unemp.info()" ] }, { "cell_type": "code", "execution_count": 5, "id": "72391065", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(754, 7)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp.shape" ] }, { "cell_type": "markdown", "id": "80a8f2c7", "metadata": {}, "source": [ "#### From the dataset inforrmation section we can infer that there are 740 non-null rows in each of the 7 columns\n", "#### Also from dataset shape we can infer that there are 754 rows (null + non-null) in each of the 7 columns\n", "#### So there are 754 - 740 = 14 null values in each of the 7 columns of the dataset" ] }, { "cell_type": "code", "execution_count": 6, "id": "09c805c1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Region 14\n", "Date 14\n", "Frequency 14\n", "Estimated Unemployment Rate (%) 14\n", "Estimated Employed 14\n", "Estimated Labour Participation Rate (%) 14\n", "Area 14\n", "dtype: int64" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp.isna().sum()" ] }, { "cell_type": "code", "execution_count": 7, "id": "692b34ab", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RegionDateFrequencyEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)Area
359NaNNaNNaNNaNNaNNaNNaN
360NaNNaNNaNNaNNaNNaNNaN
361NaNNaNNaNNaNNaNNaNNaN
362NaNNaNNaNNaNNaNNaNNaN
363NaNNaNNaNNaNNaNNaNNaN
364NaNNaNNaNNaNNaNNaNNaN
365NaNNaNNaNNaNNaNNaNNaN
366NaNNaNNaNNaNNaNNaNNaN
367NaNNaNNaNNaNNaNNaNNaN
368NaNNaNNaNNaNNaNNaNNaN
369NaNNaNNaNNaNNaNNaNNaN
370NaNNaNNaNNaNNaNNaNNaN
371NaNNaNNaNNaNNaNNaNNaN
372NaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " Region Date Frequency Estimated Unemployment Rate (%) \\\n", "359 NaN NaN NaN NaN \n", "360 NaN NaN NaN NaN \n", "361 NaN NaN NaN NaN \n", "362 NaN NaN NaN NaN \n", "363 NaN NaN NaN NaN \n", "364 NaN NaN NaN NaN \n", "365 NaN NaN NaN NaN \n", "366 NaN NaN NaN NaN \n", "367 NaN NaN NaN NaN \n", "368 NaN NaN NaN NaN \n", "369 NaN NaN NaN NaN \n", "370 NaN NaN NaN NaN \n", "371 NaN NaN NaN NaN \n", "372 NaN NaN NaN NaN \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) Area \n", "359 NaN NaN NaN \n", "360 NaN NaN NaN \n", "361 NaN NaN NaN \n", "362 NaN NaN NaN \n", "363 NaN NaN NaN \n", "364 NaN NaN NaN \n", "365 NaN NaN NaN \n", "366 NaN NaN NaN \n", "367 NaN NaN NaN \n", "368 NaN NaN NaN \n", "369 NaN NaN NaN \n", "370 NaN NaN NaN \n", "371 NaN NaN NaN \n", "372 NaN NaN NaN " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp[unemp.isnull().any(axis=1)]" ] }, { "cell_type": "code", "execution_count": 8, "id": "8480dfe7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372]\n" ] } ], "source": [ "print(unemp[unemp.isnull().any(axis=1)].index.tolist())" ] }, { "cell_type": "markdown", "id": "50e3c3a2", "metadata": {}, "source": [ "#### From above we can infer that there are null-values from row number 359 to 372 in each of the seven columns" ] }, { "cell_type": "markdown", "id": "6fc779bc", "metadata": {}, "source": [ "#### So we will remove these rows ; and make a new dataset" ] }, { "cell_type": "code", "execution_count": 9, "id": "c75cd858", "metadata": {}, "outputs": [], "source": [ "unemp_non_null = unemp.iloc[:, :360].dropna()" ] }, { "cell_type": "code", "execution_count": 10, "id": "9c897a20", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RegionDateFrequencyEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)Area
0Andhra Pradesh31-05-2019Monthly3.6511999139.043.24Rural
1Andhra Pradesh30-06-2019Monthly3.0511755881.042.05Rural
2Andhra Pradesh31-07-2019Monthly3.7512086707.043.50Rural
3Andhra Pradesh31-08-2019Monthly3.3212285693.043.97Rural
4Andhra Pradesh30-09-2019Monthly5.1712256762.044.68Rural
........................
749West Bengal29-02-2020Monthly7.5510871168.044.09Urban
750West Bengal31-03-2020Monthly6.6710806105.043.34Urban
751West Bengal30-04-2020Monthly15.639299466.041.20Urban
752West Bengal31-05-2020Monthly15.229240903.040.67Urban
753West Bengal30-06-2020Monthly9.869088931.037.57Urban
\n", "

740 rows × 7 columns

\n", "
" ], "text/plain": [ " Region Date Frequency Estimated Unemployment Rate (%) \\\n", "0 Andhra Pradesh 31-05-2019 Monthly 3.65 \n", "1 Andhra Pradesh 30-06-2019 Monthly 3.05 \n", "2 Andhra Pradesh 31-07-2019 Monthly 3.75 \n", "3 Andhra Pradesh 31-08-2019 Monthly 3.32 \n", "4 Andhra Pradesh 30-09-2019 Monthly 5.17 \n", ".. ... ... ... ... \n", "749 West Bengal 29-02-2020 Monthly 7.55 \n", "750 West Bengal 31-03-2020 Monthly 6.67 \n", "751 West Bengal 30-04-2020 Monthly 15.63 \n", "752 West Bengal 31-05-2020 Monthly 15.22 \n", "753 West Bengal 30-06-2020 Monthly 9.86 \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) Area \n", "0 11999139.0 43.24 Rural \n", "1 11755881.0 42.05 Rural \n", "2 12086707.0 43.50 Rural \n", "3 12285693.0 43.97 Rural \n", "4 12256762.0 44.68 Rural \n", ".. ... ... ... \n", "749 10871168.0 44.09 Urban \n", "750 10806105.0 43.34 Urban \n", "751 9299466.0 41.20 Urban \n", "752 9240903.0 40.67 Urban \n", "753 9088931.0 37.57 Urban \n", "\n", "[740 rows x 7 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null" ] }, { "cell_type": "code", "execution_count": 11, "id": "d4bb4561", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 740 entries, 0 to 753\n", "Data columns (total 7 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Region 740 non-null object \n", " 1 Date 740 non-null object \n", " 2 Frequency 740 non-null object \n", " 3 Estimated Unemployment Rate (%) 740 non-null float64\n", " 4 Estimated Employed 740 non-null float64\n", " 5 Estimated Labour Participation Rate (%) 740 non-null float64\n", " 6 Area 740 non-null object \n", "dtypes: float64(3), object(4)\n", "memory usage: 46.2+ KB\n" ] } ], "source": [ "unemp_non_null.info()" ] }, { "cell_type": "code", "execution_count": 12, "id": "631f0801", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(740, 7)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null.shape" ] }, { "cell_type": "code", "execution_count": 13, "id": "326baf58", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Region 0\n", "Date 0\n", "Frequency 0\n", "Estimated Unemployment Rate (%) 0\n", "Estimated Employed 0\n", "Estimated Labour Participation Rate (%) 0\n", "Area 0\n", "dtype: int64" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null.isna().sum()" ] }, { "cell_type": "code", "execution_count": 14, "id": "62d89ccb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(' 29-02-2020', ' 31-12-2019')" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null.Date.min(),unemp_non_null.Date.max() " ] }, { "cell_type": "markdown", "id": "740b41d0", "metadata": {}, "source": [ "#### Hence, we have removed all the rows from row number 359 to row number 372 that consisted of null values from all of the 7 columns" ] }, { "cell_type": "markdown", "id": "9f569a30", "metadata": {}, "source": [ "#### Since, the null values were present in same rows from 359 to 372 in all of the 7 columns; we removed them without following the process the imputing" ] }, { "cell_type": "markdown", "id": "d28340f1", "metadata": {}, "source": [ "### 3. Data Transformation" ] }, { "cell_type": "code", "execution_count": 15, "id": "1a3f487a", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Date'] = pd.to_datetime(unemp_non_null['Date'],dayfirst=True)" ] }, { "cell_type": "code", "execution_count": 16, "id": "982c0e69", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Frequency']= unemp_non_null['Frequency'].astype('category')" ] }, { "cell_type": "code", "execution_count": 17, "id": "336b8a7e", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Month'] = unemp_non_null['Date'].dt.month" ] }, { "cell_type": "code", "execution_count": 18, "id": "fa9a09e1", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Month_num'] = unemp_non_null['Month'].apply(lambda x : int(x))" ] }, { "cell_type": "code", "execution_count": 19, "id": "071727b3", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Month_name'] = unemp_non_null['Month_num'].apply(lambda x: calendar.month_abbr[x])" ] }, { "cell_type": "code", "execution_count": 20, "id": "7f77e683", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Region'] = unemp_non_null['Region'].astype('category')" ] }, { "cell_type": "code", "execution_count": 21, "id": "6f78d801", "metadata": {}, "outputs": [], "source": [ "unemp_non_null['Year'] = unemp_non_null['Date'].dt.year\n", "unemp_non_null['Year_num'] = unemp_non_null['Year'].apply(lambda x : int(x))" ] }, { "cell_type": "code", "execution_count": 22, "id": "2f54acc9", "metadata": {}, "outputs": [], "source": [ "unemp_non_null.drop(columns='Year', inplace=True)" ] }, { "cell_type": "code", "execution_count": 23, "id": "d7e122a1", "metadata": {}, "outputs": [], "source": [ "##unemp_non_null.to_csv('unmeployment in India non null.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 24, "id": "bb1f8687", "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/html": [ "
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RegionDateFrequencyEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)AreaMonthMonth_numMonth_nameYear_num
0Andhra Pradesh2019-05-31Monthly3.6511999139.043.24Rural55May2019
1Andhra Pradesh2019-06-30Monthly3.0511755881.042.05Rural66Jun2019
2Andhra Pradesh2019-07-31Monthly3.7512086707.043.50Rural77Jul2019
3Andhra Pradesh2019-08-31Monthly3.3212285693.043.97Rural88Aug2019
4Andhra Pradesh2019-09-30Monthly5.1712256762.044.68Rural99Sep2019
....................................
749West Bengal2020-02-29Monthly7.5510871168.044.09Urban22Feb2020
750West Bengal2020-03-31Monthly6.6710806105.043.34Urban33Mar2020
751West Bengal2020-04-30Monthly15.639299466.041.20Urban44Apr2020
752West Bengal2020-05-31Monthly15.229240903.040.67Urban55May2020
753West Bengal2020-06-30Monthly9.869088931.037.57Urban66Jun2020
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740 rows × 11 columns

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" ], "text/plain": [ " Region Date Frequency Estimated Unemployment Rate (%) \\\n", "0 Andhra Pradesh 2019-05-31 Monthly 3.65 \n", "1 Andhra Pradesh 2019-06-30 Monthly 3.05 \n", "2 Andhra Pradesh 2019-07-31 Monthly 3.75 \n", "3 Andhra Pradesh 2019-08-31 Monthly 3.32 \n", "4 Andhra Pradesh 2019-09-30 Monthly 5.17 \n", ".. ... ... ... ... \n", "749 West Bengal 2020-02-29 Monthly 7.55 \n", "750 West Bengal 2020-03-31 Monthly 6.67 \n", "751 West Bengal 2020-04-30 Monthly 15.63 \n", "752 West Bengal 2020-05-31 Monthly 15.22 \n", "753 West Bengal 2020-06-30 Monthly 9.86 \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) Area \\\n", "0 11999139.0 43.24 Rural \n", "1 11755881.0 42.05 Rural \n", "2 12086707.0 43.50 Rural \n", "3 12285693.0 43.97 Rural \n", "4 12256762.0 44.68 Rural \n", ".. ... ... ... \n", "749 10871168.0 44.09 Urban \n", "750 10806105.0 43.34 Urban \n", "751 9299466.0 41.20 Urban \n", "752 9240903.0 40.67 Urban \n", "753 9088931.0 37.57 Urban \n", "\n", " Month Month_num Month_name Year_num \n", "0 5 5 May 2019 \n", "1 6 6 Jun 2019 \n", "2 7 7 Jul 2019 \n", "3 8 8 Aug 2019 \n", "4 9 9 Sep 2019 \n", ".. ... ... ... ... \n", "749 2 2 Feb 2020 \n", "750 3 3 Mar 2020 \n", "751 4 4 Apr 2020 \n", "752 5 5 May 2020 \n", "753 6 6 Jun 2020 \n", "\n", "[740 rows x 11 columns]" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null" ] }, { "cell_type": "markdown", "id": "9226527c", "metadata": {}, "source": [ "### 4. Statistical Data Exploration" ] }, { "cell_type": "markdown", "id": "692a1537", "metadata": {}, "source": [ "###

Estimated Unemployment Rate (%): This represents the actual unemployment rate you want to calculate. It's the percentage of the labor force that is currently unemployed and seeking employment.

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Estimated Employed: This is the number of people who are currently employed.

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Estimated Labour Participation Rate (%): This represents the percentage of the working-age population that is either employed or actively seeking employment. It includes both employed and unemployed individuals.

" ] }, { "cell_type": "code", "execution_count": 25, "id": "762f89de", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Estimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)
count740.00740.00740.00
mean11.797204460.0342.63
std10.728087988.438.11
min0.0049420.0013.33
25%4.661190404.5038.06
50%8.354744178.5041.16
75%15.8911275489.5045.50
max76.7445777509.0072.57
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" ], "text/plain": [ " Estimated Unemployment Rate (%) Estimated Employed \\\n", "count 740.00 740.00 \n", "mean 11.79 7204460.03 \n", "std 10.72 8087988.43 \n", "min 0.00 49420.00 \n", "25% 4.66 1190404.50 \n", "50% 8.35 4744178.50 \n", "75% 15.89 11275489.50 \n", "max 76.74 45777509.00 \n", "\n", " Estimated Labour Participation Rate (%) \n", "count 740.00 \n", "mean 42.63 \n", "std 8.11 \n", "min 13.33 \n", "25% 38.06 \n", "50% 41.16 \n", "75% 45.50 \n", "max 72.57 " ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "round(unemp_non_null[['Estimated Unemployment Rate (%)',\n", " 'Estimated Employed', 'Estimated Labour Participation Rate (%)']].describe(),2)" ] }, { "cell_type": "markdown", "id": "940d7360", "metadata": {}, "source": [ "#### (A) Feature vs Region(State)" ] }, { "cell_type": "code", "execution_count": 26, "id": "a314b267", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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RegionEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)
0Andhra Pradesh7.488154093.1839.38
1Assam6.435354772.1544.87
2Bihar18.9212366189.1438.15
3Chandigarh15.99316831.2539.34
4Chhattisgarh9.244303498.5742.81
5Delhi16.502627512.8638.93
6Goa9.27226308.3339.25
7Gujarat6.6611402012.7946.10
8Haryana26.283557072.4642.74
9Himachal Pradesh18.541059823.7144.22
10Jammu & Kashmir16.191799931.6741.03
11Jharkhand20.584469240.4341.67
12Karnataka6.6810667119.2941.35
13Kerala10.124425899.5034.87
14Madhya Pradesh7.4111115484.3238.82
15Maharashtra7.5619990195.8642.30
16Meghalaya4.80689736.8157.08
17Odisha5.666545746.9638.93
18Puducherry10.22212278.0838.99
19Punjab12.034539362.0041.14
20Rajasthan14.0610041064.7539.97
21Sikkim7.25106880.7146.07
22Tamil Nadu9.2812269546.7540.87
23Telangana7.747939662.7553.00
24Tripura28.35717002.6461.82
25Uttar Pradesh12.5528094832.1839.43
26Uttarakhand6.581390228.1133.78
27West Bengal8.1217198538.0045.42
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" ], "text/plain": [ " Region Estimated Unemployment Rate (%) Estimated Employed \\\n", "0 Andhra Pradesh 7.48 8154093.18 \n", "1 Assam 6.43 5354772.15 \n", "2 Bihar 18.92 12366189.14 \n", "3 Chandigarh 15.99 316831.25 \n", "4 Chhattisgarh 9.24 4303498.57 \n", "5 Delhi 16.50 2627512.86 \n", "6 Goa 9.27 226308.33 \n", "7 Gujarat 6.66 11402012.79 \n", "8 Haryana 26.28 3557072.46 \n", "9 Himachal Pradesh 18.54 1059823.71 \n", "10 Jammu & Kashmir 16.19 1799931.67 \n", "11 Jharkhand 20.58 4469240.43 \n", "12 Karnataka 6.68 10667119.29 \n", "13 Kerala 10.12 4425899.50 \n", "14 Madhya Pradesh 7.41 11115484.32 \n", "15 Maharashtra 7.56 19990195.86 \n", "16 Meghalaya 4.80 689736.81 \n", "17 Odisha 5.66 6545746.96 \n", "18 Puducherry 10.22 212278.08 \n", "19 Punjab 12.03 4539362.00 \n", "20 Rajasthan 14.06 10041064.75 \n", "21 Sikkim 7.25 106880.71 \n", "22 Tamil Nadu 9.28 12269546.75 \n", "23 Telangana 7.74 7939662.75 \n", "24 Tripura 28.35 717002.64 \n", "25 Uttar Pradesh 12.55 28094832.18 \n", "26 Uttarakhand 6.58 1390228.11 \n", "27 West Bengal 8.12 17198538.00 \n", "\n", " Estimated Labour Participation Rate (%) \n", "0 39.38 \n", "1 44.87 \n", "2 38.15 \n", "3 39.34 \n", "4 42.81 \n", "5 38.93 \n", "6 39.25 \n", "7 46.10 \n", "8 42.74 \n", "9 44.22 \n", "10 41.03 \n", "11 41.67 \n", "12 41.35 \n", "13 34.87 \n", "14 38.82 \n", "15 42.30 \n", "16 57.08 \n", "17 38.93 \n", "18 38.99 \n", "19 41.14 \n", "20 39.97 \n", "21 46.07 \n", "22 40.87 \n", "23 53.00 \n", "24 61.82 \n", "25 39.43 \n", "26 33.78 \n", "27 45.42 " ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_vs_region = round(unemp_non_null.groupby(['Region'])[['Estimated Unemployment Rate (%)',\n", " 'Estimated Employed', 'Estimated Labour Participation Rate (%)']].mean().reset_index(),2)\n", "feature_vs_region\n", "#feature_vs_region.to_csv('feature_vs_region.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 27, "id": "527886fa", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(feature_vs_region, x='Region', y='Estimated Unemployment Rate (%)',\n", " title='Estimated Unemployment Rate (%) vs Region', template='plotly', color_discrete_sequence=['gold'])\n", "\n", "# Set the labels for the y-axis\n", "fig.update_yaxes(title_text='Estimated Unemployment Rate (%)')\n", "fig.update_traces(text=feature_vs_region['Estimated Unemployment Rate (%)'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 68, "id": "7ef91940", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(feature_vs_region, x='Region', y='Estimated Labour Participation Rate (%)',\n", " title='Estimated Labour Participation Rate (%) vs Region', template='plotly', color_discrete_sequence=['gold'])\n", "\n", "# Set the labels for the y-axis\n", "fig.update_yaxes(title_text='Estimated Labour Participation Rate (%)')\n", "fig.update_traces(text=feature_vs_region['Estimated Labour Participation Rate (%)'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "fe13508a", "metadata": {}, "source": [ "#### (B) Feature vs Area(Urban and Rural)" ] }, { "cell_type": "code", "execution_count": 30, "id": "c31fdc2e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Area Estimated Unemployment Rate (%) Estimated Employed \\\n", "0 Rural 10.32 10192852.57 \n", "1 Urban 13.17 4388625.58 \n", "\n", " Estimated Labour Participation Rate (%) \n", "0 44.46 \n", "1 40.90 " ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_vs_area = round(unemp_non_null.groupby(['Area'])[['Estimated Unemployment Rate (%)',\n", " 'Estimated Employed', 'Estimated Labour Participation Rate (%)']].mean().reset_index(),2)\n", "feature_vs_area\n", "#feature_vs_area.to_excel('feature_vs_year.xlsx', index=False)\n", "#feature_vs_area.to_csv('feature_vs_area.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 31, "id": "0b78d4a2", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Area=%{x}
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Year_numMonth_numMonth_nameEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)
020195May8.877410148.4443.90
120196Jun9.307358641.5743.75
220197Jul9.037404425.3143.71
320198Aug9.647539815.1943.65
420199Sep9.057739463.9644.30
5201910Oct9.907298382.4044.00
6201911Nov9.877273660.6444.11
7201912Dec9.507377387.8343.67
820201Jan9.957677344.4244.05
920202Feb9.967603996.2843.72
1020203Mar10.707516581.1343.08
1120204Apr23.645283319.9035.14
1220205May24.885879363.0238.50
1320206Jun11.907387008.6640.55
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" ], "text/plain": [ " Year_num Month_num Month_name Estimated Unemployment Rate (%) \\\n", "0 2019 5 May 8.87 \n", "1 2019 6 Jun 9.30 \n", "2 2019 7 Jul 9.03 \n", "3 2019 8 Aug 9.64 \n", "4 2019 9 Sep 9.05 \n", "5 2019 10 Oct 9.90 \n", "6 2019 11 Nov 9.87 \n", "7 2019 12 Dec 9.50 \n", "8 2020 1 Jan 9.95 \n", "9 2020 2 Feb 9.96 \n", "10 2020 3 Mar 10.70 \n", "11 2020 4 Apr 23.64 \n", "12 2020 5 May 24.88 \n", "13 2020 6 Jun 11.90 \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) \n", "0 7410148.44 43.90 \n", "1 7358641.57 43.75 \n", "2 7404425.31 43.71 \n", "3 7539815.19 43.65 \n", "4 7739463.96 44.30 \n", "5 7298382.40 44.00 \n", "6 7273660.64 44.11 \n", "7 7377387.83 43.67 \n", "8 7677344.42 44.05 \n", "9 7603996.28 43.72 \n", "10 7516581.13 43.08 \n", "11 5283319.90 35.14 \n", "12 5879363.02 38.50 \n", "13 7387008.66 40.55 " ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_vs_year_month = round(unemp_non_null.groupby(['Year_num','Month_num', 'Month_name'])[['Estimated Unemployment Rate (%)',\n", " 'Estimated Employed', 'Estimated Labour Participation Rate (%)']].mean().reset_index().sort_values(by=['Year_num']),2)\n", "feature_vs_year_month" ] }, { "cell_type": "code", "execution_count": 35, "id": "fad1d71d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Year_numMonth_numMonth_nameEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)Year_num_Month
320198Aug9.647539815.1943.652019 - Aug
7201912Dec9.507377387.8343.672019 - Dec
220197Jul9.037404425.3143.712019 - Jul
120196Jun9.307358641.5743.752019 - Jun
020195May8.877410148.4443.902019 - May
6201911Nov9.877273660.6444.112019 - Nov
5201910Oct9.907298382.4044.002019 - Oct
420199Sep9.057739463.9644.302019 - Sep
1120204Apr23.645283319.9035.142020 - Apr
920202Feb9.967603996.2843.722020 - Feb
820201Jan9.957677344.4244.052020 - Jan
1320206Jun11.907387008.6640.552020 - Jun
1020203Mar10.707516581.1343.082020 - Mar
1220205May24.885879363.0238.502020 - May
\n", "
" ], "text/plain": [ " Year_num Month_num Month_name Estimated Unemployment Rate (%) \\\n", "3 2019 8 Aug 9.64 \n", "7 2019 12 Dec 9.50 \n", "2 2019 7 Jul 9.03 \n", "1 2019 6 Jun 9.30 \n", "0 2019 5 May 8.87 \n", "6 2019 11 Nov 9.87 \n", "5 2019 10 Oct 9.90 \n", "4 2019 9 Sep 9.05 \n", "11 2020 4 Apr 23.64 \n", "9 2020 2 Feb 9.96 \n", "8 2020 1 Jan 9.95 \n", "13 2020 6 Jun 11.90 \n", "10 2020 3 Mar 10.70 \n", "12 2020 5 May 24.88 \n", "\n", " Estimated Employed Estimated Labour Participation Rate (%) Year_num_Month \n", "3 7539815.19 43.65 2019 - Aug \n", "7 7377387.83 43.67 2019 - Dec \n", "2 7404425.31 43.71 2019 - Jul \n", "1 7358641.57 43.75 2019 - Jun \n", "0 7410148.44 43.90 2019 - May \n", "6 7273660.64 44.11 2019 - Nov \n", "5 7298382.40 44.00 2019 - Oct \n", "4 7739463.96 44.30 2019 - Sep \n", "11 5283319.90 35.14 2020 - Apr \n", "9 7603996.28 43.72 2020 - Feb \n", "8 7677344.42 44.05 2020 - Jan \n", "13 7387008.66 40.55 2020 - Jun \n", "10 7516581.13 43.08 2020 - Mar \n", "12 5879363.02 38.50 2020 - May " ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_vs_year_month['Month_name'] = feature_vs_year_month['Month_name'].astype(str) \n", "feature_vs_year_month['Year_num_Month'] = feature_vs_year_month['Year_num'].astype(str) + ' - ' + feature_vs_year_month['Month_name']\n", "feature_vs_year_month = feature_vs_year_month.sort_values(['Year_num', 'Month_name'])\n", "feature_vs_year_month\n", "#feature_vs_year_month.to_csv('feature_vs_year_month.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 36, "id": "ec346c91", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Year_num_Month=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create the bar plot\n", "fig = px.bar(feature_vs_year_month, x='Year_num_Month', y='Estimated Unemployment Rate (%)',\n", " title='Estimated Unemployment Rate (%) vs Year and Month', template='plotly', color_discrete_sequence=['red'])\n", "\n", "# Set the labels for the x and y-axes\n", "fig.update_xaxes(title_text='Year and Month')\n", "fig.update_yaxes(title_text='Estimated Unemployment Rate (%)')\n", "\n", "# Add values on the bars\n", "fig.update_traces(text=feature_vs_year_month['Estimated Unemployment Rate (%)'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 37, "id": "14a468bc", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Year_num_Month=%{x}
Estimated Employed=%{y}", "legendgroup": "", "marker": { "color": "red", "pattern": { "shape": "" } }, "name": "", "offsetgroup": "", "orientation": "v", "showlegend": false, "text": [ 7539815.19, 7377387.83, 7404425.31, 7358641.57, 7410148.44, 7273660.64, 7298382.4, 7739463.96, 5283319.9, 7603996.28, 7677344.42, 7387008.66, 7516581.13, 5879363.02 ], "textposition": "outside", "type": "bar", "x": [ "2019 - Aug", "2019 - Dec", "2019 - Jul", "2019 - Jun", "2019 - May", "2019 - Nov", "2019 - Oct", "2019 - Sep", "2020 - Apr", "2020 - Feb", "2020 - Jan", "2020 - Jun", "2020 - Mar", "2020 - May" ], "xaxis": "x", "y": [ 7539815.19, 7377387.83, 7404425.31, 7358641.57, 7410148.44, 7273660.64, 7298382.4, 7739463.96, 5283319.9, 7603996.28, 7677344.42, 7387008.66, 7516581.13, 5879363.02 ], "yaxis": "y" } ], "layout": { "barmode": "relative", "legend": { "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": 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"domain": [ 0, 1 ], "title": { "text": "Year and Month" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "Estimated Employed" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create the bar plot\n", "fig = px.bar(feature_vs_year_month, x='Year_num_Month', y='Estimated Employed',\n", " title='Estimated Employed Count vs Year and Month', template='plotly', color_discrete_sequence=['red'])\n", "\n", "# Set the labels for the x and y-axes\n", "fig.update_xaxes(title_text='Year and Month')\n", "fig.update_yaxes(title_text='Estimated Employed')\n", "\n", "# Add values on the bars\n", "fig.update_traces(text=feature_vs_year_month['Estimated Employed'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 38, "id": "5b986887", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Year_num_Month=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "", "marker": { "color": "red", "pattern": { "shape": "" } }, "name": "", "offsetgroup": "", "orientation": "v", "showlegend": false, "text": [ 43.65, 43.67, 43.71, 43.75, 43.9, 44.11, 44, 44.3, 35.14, 43.72, 44.05, 40.55, 43.08, 38.5 ], "textposition": "outside", "type": "bar", "x": [ "2019 - Aug", "2019 - Dec", "2019 - Jul", "2019 - Jun", "2019 - May", "2019 - Nov", "2019 - Oct", "2019 - Sep", "2020 - Apr", "2020 - Feb", "2020 - Jan", "2020 - Jun", "2020 - Mar", "2020 - May" ], "xaxis": "x", "y": [ 43.65, 43.67, 43.71, 43.75, 43.9, 44.11, 44, 44.3, 35.14, 43.72, 44.05, 40.55, 43.08, 38.5 ], "yaxis": "y" } ], "layout": { "barmode": "relative", "legend": { "tracegroupgap": 0 }, "template": { "data": { "bar": [ { "error_x": { "color": "#2a3f5f" }, "error_y": { "color": "#2a3f5f" }, "marker": { "line": { "color": "#E5ECF6", "width": 0.5 }, "pattern": { "fillmode": "overlay", "size": 10, "solidity": 0.2 } }, "type": "bar" } ], 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"Estimated Labour Participation Rate (%)" } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Create the bar plot\n", "fig = px.bar(feature_vs_year_month, x='Year_num_Month', y='Estimated Labour Participation Rate (%)',\n", " title='Estimated Labour Participation Rate (%) vs Year and Month', template='plotly', color_discrete_sequence=['red'])\n", "\n", "# Set the labels for the x and y-axes\n", "fig.update_xaxes(title_text='Year and Month')\n", "fig.update_yaxes(title_text='Estimated Labour Participation Rate (%)')\n", "\n", "# Add values on the bars\n", "fig.update_traces(text=feature_vs_year_month['Estimated Labour Participation Rate (%)'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "42af25ac", "metadata": {}, "source": [ "#### (D) Feature vs Year" ] }, { "cell_type": "code", "execution_count": 39, "id": "4bca75d7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
Year_numEstimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)
020199.47422976.4743.89
1202015.16901356.5740.89
\n", "
" ], "text/plain": [ " Year_num Estimated Unemployment Rate (%) Estimated Employed \\\n", "0 2019 9.4 7422976.47 \n", "1 2020 15.1 6901356.57 \n", "\n", " Estimated Labour Participation Rate (%) \n", "0 43.89 \n", "1 40.89 " ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "feature_vs_year = round(unemp_non_null.groupby(['Year_num'])[['Estimated Unemployment Rate (%)',\n", " 'Estimated Employed', 'Estimated Labour Participation Rate (%)']].mean().reset_index(),2)\n", "feature_vs_year\n", "#feature_vs_year.to_csv('feature_vs_year.csv', index=False)" ] }, { "cell_type": "code", "execution_count": 40, "id": "60795c2e", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Year_num=%{x}
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"paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.bar(feature_vs_year, x='Year_num', y='Estimated Labour Participation Rate (%)',\n", " title='Estimated Labour Participation Rate (%) vs Year', template='plotly', color_discrete_sequence=['aqua'])\n", "\n", "# Set the labels for the y-axis\n", "fig.update_yaxes(title_text='Estimated Labour Participation Rate (%)')\n", "fig.update_traces(text=feature_vs_year['Estimated Labour Participation Rate (%)'], textposition='outside')\n", "\n", "# Show the plot\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "92b2c397", "metadata": {}, "source": [ "### 5. Using correlation, pairplot and scatterplot to understand the relation between the features" ] }, { "cell_type": "code", "execution_count": 43, "id": "a136d220", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Estimated Unemployment Rate (%)Estimated EmployedEstimated Labour Participation Rate (%)MonthMonth_numYear_num
Estimated Unemployment Rate (%)1.000000-0.2228760.002558-0.122938-0.1229380.262602
Estimated Employed-0.2228761.0000000.0113000.0112850.011285-0.031841
Estimated Labour Participation Rate (%)0.0025580.0113001.0000000.0872570.087257-0.182460
Month-0.1229380.0112850.0872571.0000001.000000-0.768484
Month_num-0.1229380.0112850.0872571.0000001.000000-0.768484
Year_num0.262602-0.031841-0.182460-0.768484-0.7684841.000000
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" ], "text/plain": [ " Estimated Unemployment Rate (%) \\\n", "Estimated Unemployment Rate (%) 1.000000 \n", "Estimated Employed -0.222876 \n", "Estimated Labour Participation Rate (%) 0.002558 \n", "Month -0.122938 \n", "Month_num -0.122938 \n", "Year_num 0.262602 \n", "\n", " Estimated Employed \\\n", "Estimated Unemployment Rate (%) -0.222876 \n", "Estimated Employed 1.000000 \n", "Estimated Labour Participation Rate (%) 0.011300 \n", "Month 0.011285 \n", "Month_num 0.011285 \n", "Year_num -0.031841 \n", "\n", " Estimated Labour Participation Rate (%) \\\n", "Estimated Unemployment Rate (%) 0.002558 \n", "Estimated Employed 0.011300 \n", "Estimated Labour Participation Rate (%) 1.000000 \n", "Month 0.087257 \n", "Month_num 0.087257 \n", "Year_num -0.182460 \n", "\n", " Month Month_num Year_num \n", "Estimated Unemployment Rate (%) -0.122938 -0.122938 0.262602 \n", "Estimated Employed 0.011285 0.011285 -0.031841 \n", "Estimated Labour Participation Rate (%) 0.087257 0.087257 -0.182460 \n", "Month 1.000000 1.000000 -0.768484 \n", "Month_num 1.000000 1.000000 -0.768484 \n", "Year_num -0.768484 -0.768484 1.000000 " ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "unemp_non_null.corr()" ] }, { "cell_type": "code", "execution_count": 44, "id": "810a549a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.heatmap(unemp_non_null.corr(), annot=True)" ] }, { "cell_type": "code", "execution_count": 45, "id": "9f708ef8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Bihar", "marker": { "color": "#00cc96" }, "name": "Bihar", "notched": false, "offsetgroup": "Bihar", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar" ], "x0": " ", "xaxis": "x", "y": [ 9.27, 10.2, 13.44, 11, 8.87, 12.47, 12.4, 10.16, 9.13, 9.61, 15.39, 45.09, 47.26, 20.49, 19.9, 13.29, 16.41, 17.66, 20.46, 14.06, 17.62, 14.91, 20.69, 15.11, 15.73, 58.77, 37.87, 12.45 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Chhattisgarh", "marker": { "color": "#ab63fa" }, "name": "Chhattisgarh", "notched": false, "offsetgroup": "Chhattisgarh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh" ], "x0": " ", "xaxis": "x", "y": [ 9.82, 6.76, 4.54, 4.64, 8.33, 6.96, 2.77, 6.11, 9.89, 7.89, 7.31, 0, 7.64, 10.14, 9.77, 11.77, 8.17, 6.29, 9.46, 10.27, 8.32, 3.57, 9.01, 9.79, 8.21, 20.13, 24.1, 27.07 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Delhi", "marker": { "color": "#FFA15A" }, "name": "Delhi", "notched": false, "offsetgroup": "Delhi", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi" ], "x0": " ", "xaxis": "x", "y": [ 12.56, 9.33, 11.07, 17.18, 12.5, 15.84, 11.11, 16.97, 13.48, 13.81, 15.18, 20.69, 22.76, 21.14, 12.31, 12.76, 14.68, 13.52, 20.59, 12.41, 16.11, 11.07, 22.45, 14.86, 17.09, 16.51, 45.78, 18.11 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Goa", "marker": { "color": "#19d3f3" }, "name": "Goa", "notched": false, "offsetgroup": "Goa", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa" ], "x0": " ", "xaxis": "x", "y": [ 2.91, 5.45, 10.98, 1.98, 3.61, 7.21, 23.71, 3.54, 5.38, 0, 15.91, 20, 2.75, 13.33, 12.28, 4.9, 3.16, 12.31, 25.2, 16.22, 10.92, 4.31, 4.76, 11.76 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Gujarat", "marker": { "color": "#FF6692" }, "name": "Gujarat", "notched": false, "offsetgroup": "Gujarat", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat" ], "x0": " ", "xaxis": "x", "y": [ 2.88, 4.77, 4.58, 3.7, 6.29, 4.91, 4.68, 3.46, 5.35, 6.64, 7.59, 12, 14.58, 1.41, 4.09, 6.31, 5.15, 4.2, 5.96, 5.45, 7.53, 5.71, 5.82, 6.04, 5.39, 25.94, 11.62, 4.54 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Haryana", "marker": { "color": "#B6E880" }, "name": "Haryana", "notched": false, "offsetgroup": "Haryana", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana" ], "x0": " ", "xaxis": "x", "y": [ 14.54, 23.08, 16.22, 30.94, 16.36, 24.17, 16.59, 29.56, 16.21, 27.19, 23.92, 41.61, 34.22, 35.57, 24.67, 20.42, 25.45, 24.19, 26.84, 21.04, 27.06, 23.65, 27.24, 23.29, 27.14, 46.89, 38.46, 29.41 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Himachal Pradesh", "marker": { "color": "#FF97FF" }, "name": "Himachal Pradesh", "notched": false, "offsetgroup": "Himachal Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 13.68, 11.43, 20.59, 18.56, 15.98, 15.81, 22.86, 19.46, 16.67, 15.42, 17.71, 2.13, 25.64, 1.12, 10.88, 21.43, 21.51, 24.48, 12, 23.77, 27.27, 25.32, 18.15, 27.31, 26.44, 2.7, 50, 10.81 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Jammu & Kashmir", "marker": { "color": "#FECB52" }, "name": "Jammu & Kashmir", "notched": false, "offsetgroup": "Jammu & Kashmir", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir" ], "x0": " ", "xaxis": "x", "y": [ 12.78, 12.09, 13.67, 11.32, 19.27, 14.73, 22.19, 21.23, 16, 2.22, 18.97, 23.04, 19.88, 21.55, 24.06, 14.29, 7.02, 18.54, 19.86, 14.29, 12.96 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Jharkhand", "marker": { "color": "#636efa" }, "name": "Jharkhand", "notched": false, "offsetgroup": "Jharkhand", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand" ], "x0": " ", "xaxis": "x", "y": [ 7.11, 8.46, 9.98, 12.06, 7.12, 6.57, 8.07, 15.15, 6.16, 9.06, 5.01, 41.72, 55.1, 21.53, 17.23, 20.51, 15.67, 20.25, 21.16, 19.05, 17.34, 22.01, 22.96, 19.67, 16.4, 61.48, 70.17, 19.38 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Karnataka", "marker": { "color": "#EF553B" }, "name": "Karnataka", "notched": false, "offsetgroup": "Karnataka", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka" ], "x0": " ", "xaxis": "x", "y": [ 5.46, 5.98, 0.52, 0.37, 3.2, 7.13, 1.19, 0.41, 2.57, 4.11, 2.39, 33.17, 23.72, 10.92, 6.56, 5, 2.29, 1.27, 3.57, 3.87, 3.44, 1.56, 3.31, 2.88, 4.92, 25.12, 15.88, 6.12 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Kerala", "marker": { "color": "#00cc96" }, "name": "Kerala", "notched": false, "offsetgroup": "Kerala", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala" ], "x0": " ", "xaxis": "x", "y": [ 6.63, 9, 4.95, 10.32, 5.35, 9.14, 5, 10.77, 4.11, 8.91, 8.85, 10.71, 23.38, 27.66, 6.11, 6.67, 7.58, 7.69, 5.52, 5.35, 6.71, 7.31, 6.65, 6.08, 9.14, 21.43, 30.28, 12.17 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Madhya Pradesh", "marker": { "color": "#ab63fa" }, "name": "Madhya Pradesh", "notched": false, "offsetgroup": "Madhya Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 3.63, 4.25, 3.92, 4.94, 3.08, 2.98, 2.72, 2.94, 3.66, 4.42, 1.19, 12.5, 22.46, 6.46, 3.91, 6.38, 7.38, 6.82, 7, 4.4, 6.06, 6.2, 5.17, 4.96, 4.8, 11.94, 40.49, 12.72 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Maharashtra", "marker": { "color": "#FFA15A" }, "name": "Maharashtra", "notched": false, "offsetgroup": "Maharashtra", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra" ], "x0": " ", "xaxis": "x", "y": [ 3.67, 4.34, 3.66, 3.76, 4.4, 3.81, 3.68, 3.03, 3.8, 4.24, 5.38, 25.28, 16.89, 9.4, 6.08, 6.46, 6.35, 7.57, 7.6, 7.51, 7.6, 7.83, 6.67, 5.34, 6.34, 14.99, 15.92, 10.01 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Meghalaya", "marker": { "color": "#19d3f3" }, "name": "Meghalaya", "notched": false, "offsetgroup": "Meghalaya", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya" ], "x0": " ", "xaxis": "x", "y": [ 3.16, 4.23, 1.03, 0.52, 0.24, 3.7, 1.5, 1.8, 0.97, 2.76, 1.28, 8.38, 3.73, 1.35, 8.4, 8.66, 4.43, 5.8, 5.3, 7.2, 3.02, 5.21, 4.76, 7.37, 2.8, 17.39, 14.58 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Odisha", "marker": { "color": "#FF6692" }, "name": "Odisha", "notched": false, "offsetgroup": "Odisha", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha" ], "x0": " ", "xaxis": "x", "y": [ 4.17, 4.71, 3.31, 3.68, 4.31, 4.28, 4.72, 4.67, 1.81, 3.31, 15.09, 24.48, 9.45, 4.59, 2.95, 2.63, 1.78, 3.5, 3.78, 4.5, 2.23, 3.36, 2.28, 2.19, 3.96, 20.5, 10, 2.18 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Puducherry", "marker": { "color": "#B6E880" }, "name": "Puducherry", "notched": false, "offsetgroup": "Puducherry", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry" ], "x0": " ", "xaxis": "x", "y": [ 0, 0, 0, 4.85, 0, 1.18, 0, 1.99, 0.58, 1.74, 2.31, 74.51, 1.25, 0, 0, 8.95, 1.22, 1.17, 1.37, 5.21, 0.57, 1.78, 0.62, 76.74, 75, 4.55 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Unemployment Rate (%)=%{y}", "legendgroup": "Punjab", "marker": { "color": "#FF97FF" }, "name": "Punjab", "notched": false, "offsetgroup": "Punjab", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab" ], "x0": " ", "xaxis": "x", "y": [ 9.17, 12.21, 9.64, 6.69, 8.59, 12.56, 7.07, 6.13, 9.69, 10.41, 10.51, 3.69, 40.59, 20, 13.49, 13.17, 11.61, 11.99, 15.69, 13.75, 10.39, 11.97, 13.68, 11.99, 9.97, 1.13, 20.54, 10.55 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df_est_unemp_rate_vs_region = unemp_non_null[['Estimated Unemployment Rate (%)','Region']]\n", "\n", "df_est_unemp_rate_vs_region = df_est_unemp_rate_vs_region.groupby('Region').mean().reset_index()\n", "\n", "df_est_unemp_rate_vs_region = df_est_unemp_rate_vs_region.sort_values('Estimated Unemployment Rate (%)')\n", "\n", "fig = px.bar(df_est_unemp_rate_vs_region, x='Region',y='Estimated Unemployment Rate (%)',color='Region',\n", " title='Average Estimated Unemployment Rate(%) in each state',template='plotly', text='Estimated Unemployment Rate (%)', height=1000)\n", "\n", "fig.show()" ] }, { "cell_type": "code", "execution_count": 51, "id": "ace70e37", "metadata": {}, "outputs": [], "source": [ "unemp_2020 = unemp_non_null[unemp_non_null['Year_num'] == 2020]\n", "unemp_2019 = unemp_non_null[unemp_non_null['Year_num'] == 2019]" ] }, { "cell_type": "code", "execution_count": 52, "id": "17cabb9b", "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "hovertemplate": "Area=Rural
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.sunburst(unemp_non_null.groupby(['Region'])['Estimated Unemployment Rate (%)'].mean().reset_index(),\n", " path=['Region'], values='Estimated Unemployment Rate (%)',\n", " color_continuous_scale='Plasma', title='Estimated Unemployment Rate (%) by Region(State)',\n", " height=950, template='ggplot2',custom_data=['Estimated Unemployment Rate (%)'])\n", "\n", "fig.update_traces(textinfo='label+value')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "6a6e9c38", "metadata": {}, "source": [ "####

From the pieplot, avg. unemployment rate(%) bar plot and box plots we can infer the following:-

\n", "####

The top 5 regions(states) in India having the highest unemployement rate (%) during COVID-19 lockdown are:

\n", "####

1. Tripura = 28.35%

\n", "####

2. Haryana = 26.28%

\n", "####

3. Jharkhand = 20.59%

\n", "####

4. Bihar = 18.92%

\n", "####

5. Himachal Pradesh = 18.54%

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Estimated Employed=%{y}", "legendgroup": "Bihar", "marker": { "color": "#00cc96" }, "name": "Bihar", "notched": false, "offsetgroup": "Bihar", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar", "Bihar" ], "x0": " ", "xaxis": "x", "y": [ 24322330, 24097712, 23248875, 22260203, 23905700, 24053140, 22445989, 22914530, 23409006, 23168192, 22667882, 14645275, 14050319, 20622566, 3029344, 3248864, 3059744, 2994763, 2992082, 3173429, 3081077, 2977857, 2988665, 3113464, 3049637, 1400962, 2207026, 3124663 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Chhattisgarh", "marker": { "color": "#ab63fa" }, "name": "Chhattisgarh", "notched": false, "offsetgroup": "Chhattisgarh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh", "Chhattisgarh" ], "x0": " ", "xaxis": "x", "y": [ 6259019, 6608626, 6753622, 6607694, 6490776, 7043840, 6942931, 6569385, 6236201, 6847173, 6894808, 6534321, 5454091, 5781095, 2223129, 2192020, 2285436, 2392400, 2311507, 2297096, 2341284, 2415436, 2315972, 2347941, 2407509, 1066126, 1276291, 1602231 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Delhi", "marker": { "color": "#FFA15A" }, "name": "Delhi", "notched": false, "offsetgroup": "Delhi", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi", "Delhi" ], "x0": " ", "xaxis": "x", "y": [ 169487, 149076, 166605, 135407, 166056, 149511, 178768, 145671, 157791, 147500, 152413, 115487, 129610, 112108, 5756475, 5550172, 5393091, 5552510, 5642253, 6030363, 5439600, 5718337, 5647493, 5708807, 5401392, 3003787, 2343783, 4306807 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Goa", "marker": { "color": "#19d3f3" }, "name": "Goa", "notched": false, "offsetgroup": "Goa", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa", "Goa" ], "x0": " ", "xaxis": "x", "y": [ 179340, 170471, 167437, 183603, 163215, 177440, 159489, 177155, 158936, 171672, 181657, 128538, 264855, 304015, 280367, 243277, 309643, 290264, 271612, 288154, 257814, 306396, 277093, 318957 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Gujarat", "marker": { "color": "#FF6692" }, "name": "Gujarat", "notched": false, "offsetgroup": "Gujarat", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat", "Gujarat" ], "x0": " ", "xaxis": "x", "y": [ 13954728, 13199281, 14327083, 13507342, 13280783, 13828512, 14487815, 13877825, 14301844, 13973042, 13483615, 8587594, 11121124, 13243922, 9686558, 10144965, 9828023, 10228154, 9609939, 10474217, 9896129, 10172812, 9824501, 10784753, 10083026, 6701284, 6072776, 10574711 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Haryana", "marker": { "color": "#B6E880" }, "name": "Haryana", "notched": false, "offsetgroup": "Haryana", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana" ], "x0": " ", "xaxis": "x", "y": [ 5249186, 4745178, 4826560, 4558306, 5127956, 4798833, 4875763, 4603484, 5062293, 4570108, 4366148, 4041050, 3914193, 4357835, 2693596, 2845190, 2405973, 2523005, 2675862, 2821456, 2404239, 2548835, 2630938, 2752834, 2275407, 1606580, 2013083, 2304138 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Himachal Pradesh", "marker": { "color": "#FF97FF" }, "name": "Himachal Pradesh", "notched": false, "offsetgroup": "Himachal Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 2045760, 1957081, 1916824, 1969248, 2039804, 1946957, 2024409, 1922821, 2041035, 1952464, 1800426, 984171, 1732050, 2230075, 245668, 237576, 235894, 236315, 247210, 232322, 233029, 241366, 246596, 227804, 221432, 146957, 134868, 224902 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Jammu & Kashmir", "marker": { "color": "#FECB52" }, "name": "Jammu & Kashmir", "notched": false, "offsetgroup": "Jammu & Kashmir", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir" ], "x0": " ", "xaxis": "x", "y": [ 2495186, 2423742, 2549316, 2778624, 2477621, 2415724, 2373488, 2163397, 2361004, 2716966, 2049617, 1130139, 1139815, 1183770, 1029087, 1226793, 1209085, 1079537, 1060116, 998103, 937435 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Jharkhand", "marker": { "color": "#636efa" }, "name": "Jharkhand", "notched": false, "offsetgroup": "Jharkhand", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand" ], "x0": " ", "xaxis": "x", "y": [ 7035766, 7319782, 6958404, 7015356, 7500122, 7761243, 7279628, 6873437, 7868736, 7932402, 7157454, 4280434, 3315038, 6375114, 2404033, 2326911, 2434579, 2335406, 2357627, 2460196, 2424281, 2290170, 2329293, 2493023, 2480661, 1054829, 830347, 2244460 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Karnataka", "marker": { "color": "#EF553B" }, "name": "Karnataka", "notched": false, "offsetgroup": "Karnataka", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka" ], "x0": " ", "xaxis": "x", "y": [ 13911440, 12888490, 12169808, 12686470, 13741892, 12803527, 11537217, 12756132, 13938874, 12753657, 12853818, 9330400, 10626328, 15396213, 8638239, 8862498, 8738029, 8614340, 8647794, 8799249, 8613835, 8592376, 8749154, 8924061, 9225835, 7387995, 8669258, 8822411 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Kerala", "marker": { "color": "#00cc96" }, "name": "Kerala", "notched": false, "offsetgroup": "Kerala", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala" ], "x0": " ", "xaxis": "x", "y": [ 5184355, 5605627, 4855393, 5233449, 5400499, 5328825, 4557906, 5065804, 5307026, 5203579, 4141953, 1754170, 3799919, 3952088, 4605913, 4678374, 4105211, 4448650, 4640642, 4644510, 4062767, 4440283, 4597507, 4624444, 4079775, 2179106, 2826118, 4601293 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Madhya Pradesh", "marker": { "color": "#ab63fa" }, "name": "Madhya Pradesh", "notched": false, "offsetgroup": "Madhya Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 15349838, 16294794, 16274707, 16559137, 16159315, 17060638, 16306428, 16854647, 16183702, 16178044, 16480441, 14238959, 13099601, 16748971, 6692720, 6509340, 6266446, 6809834, 6655967, 6603715, 6459457, 6787403, 6834930, 6533435, 6386723, 4802873, 3879934, 6221562 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Maharashtra", "marker": { "color": "#FFA15A" }, "name": "Maharashtra", "notched": false, "offsetgroup": "Maharashtra", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra" ], "x0": " ", "xaxis": "x", "y": [ 23896858, 23056511, 24843750, 26835389, 25219281, 24330249, 24881383, 26357625, 25881398, 25293535, 23130976, 15014802, 18423447, 23601016, 16962574, 17375053, 17215677, 16602767, 17396398, 17221991, 17486683, 16581144, 16715470, 17122782, 17065830, 12674451, 12365754, 16172690 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Meghalaya", "marker": { "color": "#19d3f3" }, "name": "Meghalaya", "notched": false, "offsetgroup": "Meghalaya", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya" ], "x0": " ", "xaxis": "x", "y": [ 1119011, 1024797, 1158511, 1065725, 1162159, 1080609, 1205703, 1102997, 1229406, 1112864, 1192616, 803118, 992148, 1150200, 228978, 231252, 284015, 259433, 253887, 234375, 293431, 267417, 261687, 233965, 289735, 161939, 222916 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Odisha", "marker": { "color": "#FF6692" }, "name": "Odisha", "notched": false, "offsetgroup": "Odisha", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha" ], "x0": " ", "xaxis": "x", "y": [ 11155753, 10965154, 12009883, 11727659, 11167715, 11621534, 12192623, 11345069, 11182128, 11842655, 9814156, 5562449, 9683719, 10187145, 2519582, 2356290, 2542237, 2456983, 2570663, 2456855, 2594469, 2369048, 2561320, 2438080, 2457952, 1303244, 1975481, 2221069 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Puducherry", "marker": { "color": "#B6E880" }, "name": "Puducherry", "notched": false, "offsetgroup": "Puducherry", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry" ], "x0": " ", "xaxis": "x", "y": [ 172474, 184527, 139227, 183930, 175718, 180283, 142787, 180808, 176252, 183619, 142176, 49420, 283905, 304369, 281117, 312882, 286573, 312548, 275003, 313135, 281698, 310342, 278851, 68122, 64538, 234926 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Punjab", "marker": { "color": "#FF97FF" }, "name": "Punjab", "notched": false, "offsetgroup": "Punjab", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab" ], "x0": " ", "xaxis": "x", "y": [ 6088547, 6025235, 6308129, 6183427, 6260971, 6021921, 6395022, 6164215, 6189471, 6009820, 6373692, 4721590, 3727366, 5364047, 3289918, 3307798, 3592442, 3499863, 3227178, 3070438, 3602243, 3575778, 3252622, 3219227, 3601793, 2298975, 2682658, 3047750 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Rajasthan", "marker": { "color": "#FECB52" }, "name": "Rajasthan", "notched": false, "offsetgroup": "Rajasthan", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan" ], "x0": " ", "xaxis": "x", "y": [ 15226005, 14610564, 14859873, 15052051, 15419779, 15178544, 15278556, 15485307, 15484353, 15040572, 15059769, 13051219, 15586833, 16076978, 5108436, 5241174, 5372470, 5195170, 5176819, 5384335, 5306715, 5109481, 5157363, 5288343, 4964911, 2932923, 4225486, 5275784 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Employed=%{y}", "legendgroup": "Sikkim", "marker": { "color": "#636efa" }, "name": "Sikkim", "notched": false, "offsetgroup": "Sikkim", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim" ], "x0": " ", "xaxis": "x", "y": [ 146688, 162426, 161647, 133399, 141313, 89587, 89702, 108334, 90850, 89450, 87974, 107751, 88035, 86186, 81905, 75456, 76269 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.sunburst(unemp_non_null.groupby(['Region'])['Estimated Employed'].mean().reset_index(),\n", " path=['Region'], values='Estimated Employed',\n", " color_continuous_scale='Plasma', title='Estimated Employed Count by Region(State)',\n", " height=1050, template='ggplot2',custom_data=['Estimated Employed'])\n", "\n", "fig.update_traces(textinfo='label+value')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "d1fcdc5d", "metadata": {}, "source": [ "####

From the pieplot, avg. employed count bar plot and box plots we can infer the following:-

\n", "####

The top 5 regions(states) in India having the highest employed count during COVID-19 lockdown are:

\n", "####

1. Uttar Pradesh = 28.09 Million

\n", "####

2. Maharashtra = 19.99 Million

\n", "####

3. West Bengal = 17.19 Million

\n", "####

4. Bihar = 12.37 Million

\n", "####

5. Tamil Nadu = 12.27 Million

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Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Haryana", "marker": { "color": "#B6E880" }, "name": "Haryana", "notched": false, "offsetgroup": "Haryana", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana", "Haryana" ], "x0": " ", "xaxis": "x", "y": [ 45.12, 45.23, 42.17, 48.23, 44.72, 46.07, 42.48, 47.4, 43.74, 45.37, 41.4, 49.85, 42.78, 48.53, 43.18, 43.06, 38.77, 39.87, 43.7, 42.58, 39.18, 39.57, 42.75, 42.32, 36.73, 35.48, 38.27, 38.09 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Himachal Pradesh", "marker": { "color": "#FF97FF" }, "name": "Himachal Pradesh", "notched": false, "offsetgroup": "Himachal Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh", "Himachal Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 44.23, 41.18, 44.91, 44.91, 45.02, 42.81, 48.5, 44.05, 45.11, 42.45, 40.17, 18.43, 42.62, 41.2, 45.27, 49.58, 49.22, 51.17, 45.87, 49.69, 52.17, 52.55, 48.92, 50.82, 48.74, 24.42, 43.55, 40.66 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Jammu & Kashmir", "marker": { "color": "#FECB52" }, "name": "Jammu & Kashmir", "notched": false, "offsetgroup": "Jammu & Kashmir", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir", "Jammu & Kashmir" ], "x0": " ", "xaxis": "x", "y": [ 40.57, 39.02, 41.71, 44.17, 43.08, 39.69, 42.56, 38.25, 39.06, 38.46, 34.94, 46.74, 45.17, 47.8, 42.63, 44.92, 40.71, 41.4, 41.23, 36.21, 33.33 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Jharkhand", "marker": { "color": "#636efa" }, "name": "Jharkhand", "notched": false, "offsetgroup": "Jharkhand", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand", "Jharkhand" ], "x0": " ", "xaxis": "x", "y": [ 39.04, 41.12, 39.66, 40.83, 41.24, 42.33, 40.26, 41.09, 42.43, 44.05, 37.96, 36.92, 37.03, 40.65, 43.25, 43.51, 42.82, 43.35, 44.18, 44.82, 43.17, 43.14, 44.33, 45.42, 43.34, 39.92, 40.49, 40.43 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Karnataka", "marker": { "color": "#EF553B" }, "name": "Karnataka", "notched": false, "offsetgroup": "Karnataka", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka", "Karnataka" ], "x0": " ", "xaxis": "x", "y": [ 46.36, 43.12, 38.42, 39.93, 44.45, 43.1, 36.45, 39.92, 44.52, 41.33, 40.85, 43.25, 43.09, 53.37, 40.62, 40.89, 39.09, 38.04, 39, 39.7, 38.6, 37.66, 38.94, 39.45, 41.55, 42.14, 43.9, 39.93 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Kerala", "marker": { "color": "#00cc96" }, "name": "Kerala", "notched": false, "offsetgroup": "Kerala", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala", "Kerala" ], "x0": " ", "xaxis": "x", "y": [ 38.07, 42.19, 34.96, 39.9, 38.97, 40.02, 32.71, 38.67, 37.66, 38.84, 30.87, 13.33, 33.62, 37.01, 36.65, 37.42, 33.13, 35.91, 36.57, 36.49, 32.36, 35.56, 36.53, 36.48, 33.24, 20.51, 29.95, 38.68 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Madhya Pradesh", "marker": { "color": "#ab63fa" }, "name": "Madhya Pradesh", "notched": false, "offsetgroup": "Madhya Pradesh", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh", "Madhya Pradesh" ], "x0": " ", "xaxis": "x", "y": [ 37.97, 40.48, 40.2, 41.25, 39.4, 41.46, 39.44, 40.77, 39.35, 39.57, 38.9, 37.88, 39.24, 41.5, 38.96, 38.8, 37.67, 40.6, 39.67, 38.2, 37.94, 39.83, 39.59, 37.68, 36.68, 29.76, 35.49, 38.72 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Maharashtra", "marker": { "color": "#FFA15A" }, "name": "Maharashtra", "notched": false, "offsetgroup": "Maharashtra", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra", "Maharashtra" ], "x0": " ", "xaxis": "x", "y": [ 47.11, 45.69, 48.8, 52.67, 49.74, 47.61, 48.53, 50.98, 50.36, 49.36, 45.6, 37.42, 41.21, 48.34, 38.3, 39.3, 38.81, 37.84, 39.58, 39.05, 39.61, 37.57, 37.32, 37.61, 37.8, 30.86, 30.38, 37.04 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Meghalaya", "marker": { "color": "#19d3f3" }, "name": "Meghalaya", "notched": false, "offsetgroup": "Meghalaya", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya", "Meghalaya" ], "x0": " ", "xaxis": "x", "y": [ 66.13, 61.09, 66.67, 60.86, 66.02, 63.44, 69.03, 63.18, 69.66, 64.06, 67.46, 48.83, 57.26, 64.63, 47.79, 48.29, 56.55, 52.27, 50.77, 47.71, 57.02, 53.04, 51.53, 47.26, 55.64, 36.51, 48.48 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Odisha", "marker": { "color": "#FF6692" }, "name": "Odisha", "notched": false, "offsetgroup": "Odisha", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha", "Odisha" ], "x0": " ", "xaxis": "x", "y": [ 40.47, 39.94, 43.05, 42.13, 40.32, 41.88, 44.06, 40.91, 39.09, 41.98, 39.55, 25.16, 36.48, 36.36, 41.26, 38.39, 40.99, 40.25, 42.15, 40.51, 41.71, 38.46, 41.05, 38.97, 39.93, 25.53, 34.12, 35.24 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Puducherry", "marker": { "color": "#B6E880" }, "name": "Puducherry", "notched": false, "offsetgroup": "Puducherry", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry", "Puducherry" ], "x0": " ", "xaxis": "x", "y": [ 43.08, 45.95, 34.56, 47.83, 43.34, 44.85, 35, 45.07, 43.18, 45.38, 35.23, 46.79, 35.71, 37.73, 34.77, 42.41, 35.73, 38.86, 34.19, 40.42, 34.59, 38.5, 34.12, 35.54, 31.25, 29.73 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Punjab", "marker": { "color": "#FF97FF" }, "name": "Punjab", "notched": false, "offsetgroup": "Punjab", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab", "Punjab" ], "x0": " ", "xaxis": "x", "y": [ 44.79, 45.79, 46.5, 44.08, 45.49, 45.66, 45.55, 43.4, 45.22, 44.19, 46.85, 32.2, 41.14, 43.9, 40.03, 40.02, 42.62, 41.61, 39.97, 37.1, 41.82, 42.17, 39.04, 37.82, 41.29, 23.95, 34.71, 34.96 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Rajasthan", "marker": { "color": "#FECB52" }, "name": "Rajasthan", "notched": false, "offsetgroup": "Rajasthan", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan", "Rajasthan" ], "x0": " ", "xaxis": "x", "y": [ 38.52, 41.02, 39.78, 41.48, 39.24, 42.69, 40.87, 43, 40.12, 41.83, 39.47, 35.21, 41.11, 43.98, 39.44, 40.73, 40.38, 40.34, 39.15, 40.8, 40.73, 40.9, 41.59, 41.62, 39.71, 29.57, 36.71, 39.26 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Sikkim", "marker": { "color": "#636efa" }, "name": "Sikkim", "notched": false, "offsetgroup": "Sikkim", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim", "Sikkim" ], "x0": " ", "xaxis": "x", "y": [ 44.06, 53.04, 46.3, 37.72, 42.36, 48.61, 48.13, 54.67, 46.63, 45.61, 46.97, 53.8, 45.24, 50.57, 40.31, 43.32, 35.85 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Tamil Nadu", "marker": { "color": "#EF553B" }, "name": "Tamil Nadu", "notched": false, "offsetgroup": "Tamil Nadu", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu", "Tamil Nadu" ], "x0": " ", "xaxis": "x", "y": [ 49.44, 50.99, 53.94, 52.17, 45.62, 48.55, 50.95, 48.8, 46.23, 48.86, 51.56, 33.05, 28.6, 31.49, 37.31, 39.16, 38.89, 41.13, 37.76, 38.42, 37.38, 41.29, 37.64, 37.48, 36.17, 26.17, 23.77, 31.6 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Telangana", "marker": { "color": "#00cc96" }, "name": "Telangana", "notched": false, "offsetgroup": "Telangana", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana", "Telangana" ], "x0": " ", "xaxis": "x", "y": [ 61.74, 62.19, 64.4, 59.23, 72.57, 66.49, 65.17, 60.61, 68.51, 66.92, 68.53, 49.44, 61, 58.97, 44.59, 45.43, 44.36, 45.39, 47.28, 44.51, 43.87, 43.13, 45.95, 45.78, 43.65, 29.05, 37.63, 37.68 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
Estimated Labour Participation Rate (%)=%{y}", "legendgroup": "Tripura", "marker": { "color": "#ab63fa" }, "name": "Tripura", "notched": false, "offsetgroup": "Tripura", "orientation": "v", "showlegend": true, "type": "box", "x": [ "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura", "Tripura" ], "x0": " ", "xaxis": "x", "y": [ 64.47, 67.4, 60.54, 58.29, 65.9, 68.21, 64.29, 63.02, 68.61, 69.88, 68.28, 52.63, 46.9, 59.74, 69.5, 58.8, 59.1, 59.07, 66.9, 60, 62.14, 63.41, 72.26, 66.04, 63.56, 47.65, 48.31, 56.17 ], "y0": " ", "yaxis": "y" }, { "alignmentgroup": "True", "hovertemplate": "Region=%{x}
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = px.sunburst(unemp_non_null.groupby(['Region'])['Estimated Labour Participation Rate (%)'].mean().reset_index(),\n", " path=['Region'], values='Estimated Labour Participation Rate (%)',\n", " color_continuous_scale='Plasma', title='Estimated Labour Participation Rate (%) by Region(State)',\n", " height=950, template='ggplot2',custom_data=['Estimated Labour Participation Rate (%)'])\n", "\n", "fig.update_traces(textinfo='label+value')\n", "\n", "fig.show()" ] }, { "cell_type": "markdown", "id": "7616df5b", "metadata": {}, "source": [ "####

From the pieplot, avg. labour participation rate(%) bar plot and box plots we can infer the following:-

\n", "####

The top 5 regions(states) in India having the highest labour participation rate (%) during COVID-19 lockdown are:

\n", "####

1. Tripura = 61.82%

\n", "####

2. Meghalaya = 57.08%

\n", "####

3. Telangana = 53.00%

\n", "####

4. Gujarat = 46.10%

\n", "####

5. Sikkim = 46.07%

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