{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.6" }, "colab": { "name": "India_vs_World_COVID_19.ipynb", "provenance": [], "collapsed_sections": [ "KW3k0TQcFEO4", "tA2o-l9lGNR8", "BIrfT70K5e5g", "4SimdWJX6ukA", "y-CMpHl16ukp", "aIzy0fzC6ulg" ], "toc_visible": true }, "accelerator": "TPU" }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "t8rlRGrprZ3r", "colab_type": "text" }, "source": [ "\n", "![alt text](https://i.imgur.com/HWXuFrR.png)" ] }, { "cell_type": "markdown", "metadata": { "id": "YZRcLPvedhCH", "colab_type": "text" }, "source": [ "#COVID-19 - Pandemic in India!" ] }, { "cell_type": "markdown", "metadata": { "id": "RkCHpmwkFOtU", "colab_type": "text" }, "source": [ "##About COVID-19" ] }, { "cell_type": "markdown", "metadata": { "id": "xFi2gCYLEAp6", "colab_type": "text" }, "source": [ "The **coronavirus (COVID-19)** pandemic is the greatest global humanitarian challenge the world has faced since World War II. The pandemic virus has spread widely, and the number of cases is rising daily. The government is working to slow down its spread.\n", "\n", "Till date it has spread across 215 countries infecting 5,491,194 people and killing 346,331 so far. In India, as many as 138,536 COVID-19 cases have been reported so far. Of these, 57,692 have recovered and 4,024 have died. \n", "COVID19 " ] }, { "cell_type": "markdown", "metadata": { "id": "jj7ZlQDsmWam", "colab_type": "text" }, "source": [ "**Corona Virus Explained in Simple Terms:**\n", "- Let's say Raghav got infected yesterday, but he won't know it untill next 14 days\n", "- Raghav thinks he is healthy but he is infecting 10 persons per day\n", "- Now these 10 persons think they are completely healthy, they travel, go out and infect 100 others\n", "- These 100 persons think they are healthy but they have already infected 1000 persons\n", "- No one knows who is healthy or who can infect you\n", "- All you can do is be responsible, stay in quarentine\n", "\n", "![alt text](https://i.imgur.com/nf2kMhF.jpg)" ] }, { "cell_type": "markdown", "metadata": { "id": "oTiw0LbXCmeW", "colab_type": "text" }, "source": [ "##Problem Statement:" ] }, { "cell_type": "markdown", "metadata": { "id": "KW3k0TQcFEO4", "colab_type": "text" }, "source": [ "India has responded quickly, implementing a proactive, nationwide, lockdown, to flatten the curve and use the time to plan and resource responses adequately. As of 23rd May 2020, India has witnessed 3720 deaths from 32 States and Union Territories, with a total of 123202 confirmed cases due to COVID-19. Globally the Data Scientists are using AI and machine learning to analyze, predict, and take safety measures against COVID-19 in India. \n", "\n", "### Goal:\n", "We need a explore the COVID situation in India and the world, and strong model that predicts how the virus could spread across India in the next 15 days.\n", "###Tasks to be performed:\n", "- Analyze the present condition in India\n", "- Scrape out the COVID-19 from websites\n", "- Figure out the death rate and cure rate per 100 across the affected states\n", "- Create different charts to visualize the following: \n", " - Age group distribution of affected patients\n", " - Total sample test done till date\n", " - Growth rate of COVID in top 15 states\n", " - Top 10 States in each health facility\n", " - State wise testing insight\n", "- ICMR testing centres in each state\n", "- Use Prophet to predict the confirmed cases in India\n", "- Use ARIMA to predict the confirmed cases in India\n", "- Compare the Indian COVID cases globally" ] }, { "cell_type": "markdown", "metadata": { "id": "bnu_YAjjFxOu", "colab_type": "text" }, "source": [ "###Importing the required libraries" ] }, { "cell_type": "code", "metadata": { "_kg_hide-input": true, "_kg_hide-output": true, "id": "BRQ9saONdhCQ", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 70 }, "outputId": "39949297-81f5-4f11-e695-d7ea524c504e" }, "source": [ "# importing the required libraries\n", "import pandas as pd\n", "\n", "# Visualisation libraries\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import seaborn as sns\n", "import plotly.express as px\n", "import plotly.graph_objects as go\n", "import folium \n", "from folium import plugins\n", "\n", "# Manipulating the default plot size\n", "plt.rcParams['figure.figsize'] = 10, 12\n", "\n", "# Disable warnings \n", "import warnings\n", "warnings.filterwarnings('ignore')" ], "execution_count": 1, "outputs": [ { "output_type": "stream", "text": [ "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n", " import pandas.util.testing as tm\n" ], "name": "stderr" } ] }, { "cell_type": "markdown", "metadata": { "id": "dFhorHIrdhCq", "colab_type": "text" }, "source": [ "# Part 1: Analysing the present condition in India\n" ] }, { "cell_type": "code", "metadata": { "id": "O4gLcET2IAv1", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "gpi83iahUixw", "colab_type": "text" }, "source": [ "**How it started in India?:** \n", "\n", "The first **COVID-19** case was reported on 30th January 2020 when a student arrived **Kerala** from Wuhan. Just in next 2 days, Kerela reported 2 more cases. For almost a month, no new cases were reported in India, however, on 2nd March 2020, five new cases of corona virus were reported in Kerala again and since then the cases have been rising affecting **25** states, till now *(Bihar and Manipur being the most recent)*. Here is a brief timeline of the cases in India.\n", "###COVID-19 in India - Timeline\n", "
\n", "\n", "\n", "![](https://i.imgur.com/iEgxlkm.png)" ] }, { "cell_type": "markdown", "metadata": { "id": "Rzy4cScWBiAd", "colab_type": "text" }, "source": [ "##Recent COVID-19 updates in India" ] }, { "cell_type": "markdown", "metadata": { "id": "8GshVqvREFj2", "colab_type": "text" }, "source": [ "- Sikkim on Saturday reported its first +ve COVID-19 case\n", "- With over 6,500 fresh cases, the Covid in India rose to 1,25,101 on Saturday morning, with 3,720 fatalities\n", "- West Bengal asks Railways not to send migrant trains to State till May 26 in view of Cyclone Amphan\n", "- 196 new COVID 19 positive cases were reported in Karnataka on Saturday\n", "- Complete lockdown in Bengaluru on Sunday. \n", " - Bruhat Bengaluru Mahanagara Palike (BBMP) Commissioner B.H. Anil Kumar said the conditions and restrictions on Sunday will be similar to that under coronavirus lockdown 1.0.\n" ] }, { "cell_type": "markdown", "metadata": { "id": "DcgTa3be1-LZ", "colab_type": "text" }, "source": [ "## How is AI-ML useful in fighting the COVID-19 pandemic?\n", "- Medical resource optimization\n", "- Ensuring demand planning stability\n", "- Contact tracing \n", "- Situational awareness and critical response analysis\n" ] }, { "cell_type": "markdown", "metadata": { "id": "QLaxaOyJJvU7", "colab_type": "text" }, "source": [ "## 1.1 Scraping the datasets from the [official Govt. website](https://www.mohfw.gov.in)\n" ] }, { "cell_type": "code", "metadata": { "id": "DhAsbPu929HV", "colab_type": "code", "colab": {} }, "source": [ "# for date and time opeations\n", "from datetime import datetime\n", "# for file and folder operations\n", "import os\n", "# for regular expression opeations\n", "import re\n", "# for listing files in a folder\n", "import glob\n", "# for getting web contents\n", "import requests \n", "# for scraping web contents\n", "from bs4 import BeautifulSoup" ], "execution_count": 2, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "HDoPc3Du2_RL", "colab_type": "code", "colab": {} }, "source": [ "# get data\n", "\n", "# link at which web data recides\n", "link = 'https://www.mohfw.gov.in/'\n", "# get web data\n", "req = requests.get(link)\n", "# parse web data\n", "soup = BeautifulSoup(req.content, \"html.parser\")" ], "execution_count": 3, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "UGN4i9qq3YZ3", "colab_type": "code", "colab": {} }, "source": [ "# find the table\n", "# ==============\n", "# our target table is the last table in the page\n", "\n", "# get the table head\n", "# table head may contain the column names, titles, subtitles\n", "thead = soup.find_all('thead')[-1]\n", "# print(thead)\n", "\n", "# get all the rows in table head\n", "# it usually have only one row, which has the column names\n", "head = thead.find_all('tr')\n", "# print(head)\n", "\n", "# get the table tbody\n", "# it contains the contents\n", "tbody = soup.find_all('tbody')[-1]\n", "# print(tbody)\n", "\n", "# get all the rows in table body\n", "# each row is each state's entry\n", "body = tbody.find_all('tr')\n", "# print(body)" ], "execution_count": 4, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "aw3L-OoK2wD5", "colab_type": "code", "colab": {} }, "source": [ "# get the table contents\n", "# ======================\n", "\n", "# container for header rows / column title\n", "head_rows = []\n", "# container for table body / contents\n", "body_rows = []\n", "\n", "# loop through the head and append each row to head\n", "for tr in head:\n", " td = tr.find_all(['th', 'td'])\n", " row = [i.text for i in td]\n", " head_rows.append(row)\n", "# print(head_rows)\n", "\n", "# loop through the body and append each row to body\n", "for tr in body:\n", " td = tr.find_all(['th', 'td'])\n", " row = [i.text for i in td]\n", " body_rows.append(row)\n", "# print(head_rows)" ], "execution_count": 5, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "-dSVdO2d2wEE", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "5d85b0b7-6a54-4236-a590-fd44eb77fe6a" }, "source": [ "# save contents in a dataframe\n", "# ============================\n", " \n", "# skip last 3 rows, it contains unwanted info\n", "# head_rows contains column title\n", "df_bs = pd.DataFrame(body_rows[:len(body_rows)-6], \n", " columns=head_rows[0]) \n", "\n", "# Drop 'S. No.' column\n", "df_bs.drop('S. No.', axis=1, inplace=True)\n", "\n", "# there are 36 states+UT in India\n", "df_bs.head(36)" ], "execution_count": 6, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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Name of State / UTActive Cases*Cured/Discharged/Migrated*Deaths**Total Confirmed cases*
0Andaman and Nicobar Islands50500100
1Andhra Pradesh8071698819315252
2Arunachal Pradesh128661195
3Assam27195851128582
4Bihar223379467010249
5Chandigarh733676446
6Chhattisgarh6232303142940
7Dadra and Nagar Haveli and Daman and Diu129860215
8Delhi2700759992280389802
9Goa71367041387
10Gujarat733524030186733232
11Haryana42021049924014941
12Himachal Pradesh35561410979
13Jammu and Kashmir273448561057695
14Jharkhand5751931152521
15Karnataka8198806325316514
16Kerala21302439244593
17Ladakh2956941990
18Madhya Pradesh26251065558113861
19Maharashtra79091931548053180298
20Manipur68157901260
21Meghalaya942152
22Mizoram371230160
23Nagaland2911680459
24Odisha19385353257316
25Puducherry43027212714
26Punjab165238671495668
27Rajasthan33171457442118312
28Sikkim48530101
29Tamil Nadu3985952926126494049
30Telangana9008808226717357
31Tripura302109311396
32Uttarakhand5892317412947
33Uttar Pradesh67091662971824056
34West Bengal59591252868319170
\n", "
" ], "text/plain": [ " Name of State / UT ... Total Confirmed cases*\n", "0 Andaman and Nicobar Islands ... 100\n", "1 Andhra Pradesh ... 15252\n", "2 Arunachal Pradesh ... 195\n", "3 Assam ... 8582\n", "4 Bihar ... 10249\n", "5 Chandigarh ... 446\n", "6 Chhattisgarh ... 2940\n", "7 Dadra and Nagar Haveli and Daman and Diu ... 215\n", "8 Delhi ... 89802\n", "9 Goa ... 1387\n", "10 Gujarat ... 33232\n", "11 Haryana ... 14941\n", "12 Himachal Pradesh ... 979\n", "13 Jammu and Kashmir ... 7695\n", "14 Jharkhand ... 2521\n", "15 Karnataka ... 16514\n", "16 Kerala ... 4593\n", "17 Ladakh ... 990\n", "18 Madhya Pradesh ... 13861\n", "19 Maharashtra ... 180298\n", "20 Manipur ... 1260\n", "21 Meghalaya ... 52\n", "22 Mizoram ... 160\n", "23 Nagaland ... 459\n", "24 Odisha ... 7316\n", "25 Puducherry ... 714\n", "26 Punjab ... 5668\n", "27 Rajasthan ... 18312\n", "28 Sikkim ... 101\n", "29 Tamil Nadu ... 94049\n", "30 Telangana ... 17357\n", "31 Tripura ... 1396\n", "32 Uttarakhand ... 2947\n", "33 Uttar Pradesh ... 24056\n", "34 West Bengal ... 19170\n", "\n", "[35 rows x 5 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 6 } ] }, { "cell_type": "markdown", "metadata": { "id": "zolKuSV42wEO", "colab_type": "text" }, "source": [ "# Data Cleaning" ] }, { "cell_type": "code", "metadata": { "id": "_OSYvlRv2wEQ", "colab_type": "code", "colab": {} }, "source": [ "# date-time information\n", "# =====================\n", "#saving a copy of the dataframe\n", "df_India = df_bs.copy()\n", "# today's date\n", "now = datetime.now()\n", "# format date to month-day-year\n", "df_India['Date'] = now.strftime(\"%m/%d/%Y\") \n", "\n", "# add 'Date' column to dataframe\n", "df_India['Date'] = pd.to_datetime(df_India['Date'], format='%m/%d/%Y')\n", "\n", "# df_India.head(36)" ], "execution_count": 7, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "D46MC3DY2wEo", "colab_type": "code", "colab": {} }, "source": [ "# remove extra characters from 'Name of State/UT' column\n", "df_India['Name of State / UT'] = df_India['Name of State / UT'].str.replace('#', '')\n", "df_India['Deaths**'] = df_India['Deaths**'].str.replace('#', '')" ], "execution_count": 8, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "n0NFUq_A2wEw", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "61bb9ec3-872e-498a-af46-139110ee3854" }, "source": [ "# latitude and longitude information\n", "# ==================================\n", "\n", "# latitude of the states\n", "lat = {'Delhi':28.7041, 'Haryana':29.0588, 'Kerala':10.8505, 'Rajasthan':27.0238,\n", " 'Telengana':18.1124, 'Uttar Pradesh':26.8467, 'Ladakh':34.2996, 'Tamil Nadu':11.1271,\n", " 'Jammu and Kashmir':33.7782, 'Punjab':31.1471, 'Karnataka':15.3173, 'Maharashtra':19.7515,\n", " 'Andhra Pradesh':15.9129, 'Odisha':20.9517, 'Uttarakhand':30.0668, 'West Bengal':22.9868, \n", " 'Puducherry': 11.9416, 'Chandigarh': 30.7333, 'Chhattisgarh':21.2787, 'Gujarat': 22.2587, \n", " 'Himachal Pradesh': 31.1048, 'Madhya Pradesh': 22.9734, 'Bihar': 25.0961, 'Manipur':24.6637, \n", " 'Mizoram':23.1645, 'Goa': 15.2993, 'Andaman and Nicobar Islands': 11.7401, 'Assam' : 26.2006, \n", " 'Jharkhand': 23.6102, 'Arunachal Pradesh': 28.2180, 'Tripura': 23.9408, 'Nagaland': 26.1584, \n", " 'Meghalaya' : 25.4670, 'Dadar Nagar Haveli' : 20.1809, 'Sikkim': 27.5330,'Telangana':17.3850,'Dadra and Nagar Haveli and Daman and Diu':20.4283}\n", "\n", "# longitude of the states\n", "long = {'Delhi':77.1025, 'Haryana':76.0856, 'Kerala':76.2711, 'Rajasthan':74.2179,\n", " 'Telengana':79.0193, 'Uttar Pradesh':80.9462, 'Ladakh':78.2932, 'Tamil Nadu':78.6569,\n", " 'Jammu and Kashmir':76.5762, 'Punjab':75.3412, 'Karnataka':75.7139, 'Maharashtra':75.7139,\n", " 'Andhra Pradesh':79.7400, 'Odisha':85.0985, 'Uttarakhand':79.0193, 'West Bengal':87.8550, \n", " 'Puducherry': 79.8083, 'Chandigarh': 76.7794, 'Chhattisgarh':81.8661, 'Gujarat': 71.1924, \n", " 'Himachal Pradesh': 77.1734, 'Madhya Pradesh': 78.6569, 'Bihar': 85.3131, 'Manipur':93.9063, \n", " 'Mizoram':92.9376, 'Goa': 74.1240, 'Andaman and Nicobar Islands': 92.6586, 'Assam' : 92.9376, \n", " 'Jharkhand': 85.2799, 'Arunachal Pradesh': 94.7278, 'Tripura': 91.9882, 'Nagaland': 94.5624,\n", " 'Meghalaya' : 91.3662, 'Dadar Nagar Haveli' : 73.0169, 'Sikkim': 88.5122,'Telangana':78.4867,'Dadra and Nagar Haveli and Daman and Diu':72.8397}\n", "\n", "# add latitude column based on 'Name of State / UT' column\n", "df_India['Latitude'] = df_India['Name of State / UT'].map(lat)\n", "\n", "# add longitude column based on 'Name of State / UT' column\n", "df_India['Longitude'] = df_India['Name of State / UT'].map(long)\n", "\n", "df_India.head(36)" ], "execution_count": 9, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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Name of State / UTActive Cases*Cured/Discharged/Migrated*Deaths**Total Confirmed cases*DateLatitudeLongitude
0Andaman and Nicobar Islands505001002020-07-0211.740192.6586
1Andhra Pradesh80716988193152522020-07-0215.912979.7400
2Arunachal Pradesh1286611952020-07-0228.218094.7278
3Assam271958511285822020-07-0226.200692.9376
4Bihar2233794670102492020-07-0225.096185.3131
5Chandigarh7336764462020-07-0230.733376.7794
6Chhattisgarh62323031429402020-07-0221.278781.8661
7Dadra and Nagar Haveli and Daman and Diu1298602152020-07-0220.428372.8397
8Delhi27007599922803898022020-07-0228.704177.1025
9Goa713670413872020-07-0215.299374.1240
10Gujarat7335240301867332322020-07-0222.258771.1924
11Haryana420210499240149412020-07-0229.058876.0856
12Himachal Pradesh355614109792020-07-0231.104877.1734
13Jammu and Kashmir2734485610576952020-07-0233.778276.5762
14Jharkhand57519311525212020-07-0223.610285.2799
15Karnataka81988063253165142020-07-0215.317375.7139
16Kerala213024392445932020-07-0210.850576.2711
17Ladakh29569419902020-07-0234.299678.2932
18Madhya Pradesh262510655581138612020-07-0222.973478.6569
19Maharashtra790919315480531802982020-07-0219.751575.7139
20Manipur681579012602020-07-0224.663793.9063
21Meghalaya9421522020-07-0225.467091.3662
22Mizoram3712301602020-07-0223.164592.9376
23Nagaland29116804592020-07-0226.158494.5624
24Odisha193853532573162020-07-0220.951785.0985
25Puducherry430272127142020-07-0211.941679.8083
26Punjab1652386714956682020-07-0231.147175.3412
27Rajasthan331714574421183122020-07-0227.023874.2179
28Sikkim485301012020-07-0227.533088.5122
29Tamil Nadu39859529261264940492020-07-0211.127178.6569
30Telangana90088082267173572020-07-0217.385078.4867
31Tripura3021093113962020-07-0223.940891.9882
32Uttarakhand58923174129472020-07-0230.066879.0193
33Uttar Pradesh670916629718240562020-07-0226.846780.9462
34West Bengal595912528683191702020-07-0222.986887.8550
\n", "
" ], "text/plain": [ " Name of State / UT Active Cases* ... Latitude Longitude\n", "0 Andaman and Nicobar Islands 50 ... 11.7401 92.6586\n", "1 Andhra Pradesh 8071 ... 15.9129 79.7400\n", "2 Arunachal Pradesh 128 ... 28.2180 94.7278\n", "3 Assam 2719 ... 26.2006 92.9376\n", "4 Bihar 2233 ... 25.0961 85.3131\n", "5 Chandigarh 73 ... 30.7333 76.7794\n", "6 Chhattisgarh 623 ... 21.2787 81.8661\n", "7 Dadra and Nagar Haveli and Daman and Diu 129 ... 20.4283 72.8397\n", "8 Delhi 27007 ... 28.7041 77.1025\n", "9 Goa 713 ... 15.2993 74.1240\n", "10 Gujarat 7335 ... 22.2587 71.1924\n", "11 Haryana 4202 ... 29.0588 76.0856\n", "12 Himachal Pradesh 355 ... 31.1048 77.1734\n", "13 Jammu and Kashmir 2734 ... 33.7782 76.5762\n", "14 Jharkhand 575 ... 23.6102 85.2799\n", "15 Karnataka 8198 ... 15.3173 75.7139\n", "16 Kerala 2130 ... 10.8505 76.2711\n", "17 Ladakh 295 ... 34.2996 78.2932\n", "18 Madhya Pradesh 2625 ... 22.9734 78.6569\n", "19 Maharashtra 79091 ... 19.7515 75.7139\n", "20 Manipur 681 ... 24.6637 93.9063\n", "21 Meghalaya 9 ... 25.4670 91.3662\n", "22 Mizoram 37 ... 23.1645 92.9376\n", "23 Nagaland 291 ... 26.1584 94.5624\n", "24 Odisha 1938 ... 20.9517 85.0985\n", "25 Puducherry 430 ... 11.9416 79.8083\n", "26 Punjab 1652 ... 31.1471 75.3412\n", "27 Rajasthan 3317 ... 27.0238 74.2179\n", "28 Sikkim 48 ... 27.5330 88.5122\n", "29 Tamil Nadu 39859 ... 11.1271 78.6569\n", "30 Telangana 9008 ... 17.3850 78.4867\n", "31 Tripura 302 ... 23.9408 91.9882\n", "32 Uttarakhand 589 ... 30.0668 79.0193\n", "33 Uttar Pradesh 6709 ... 26.8467 80.9462\n", "34 West Bengal 5959 ... 22.9868 87.8550\n", "\n", "[35 rows x 8 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 9 } ] }, { "cell_type": "code", "metadata": { "id": "ZmMeGKySrBgr", "colab_type": "code", "colab": {} }, "source": [ "\n", "# rename columns\n", " \n", "df_India = df_India.rename(columns={'Cured/Discharged/Migrated' :'Cured/Discharged', \n", " 'Total Confirmed cases *': 'Confirmed', \n", " 'Total Confirmed cases ': 'Confirmed', \n", " 'Total Confirmed cases* ': 'Confirmed'})\n", "df_India = df_India.rename(columns={'Cured/Discharged':'Cured'})\n", "df_India = df_India.rename(columns={'Name of State / UT':'State/UnionTerritory'})\n", "df_India = df_India.rename(columns={'Name of State / UT':'State/UnionTerritory'})\n", "\n", "df_India = df_India.rename(columns=lambda x: re.sub('Total Confirmed cases \\(Including .* foreign Nationals\\) ',\n", " 'Total Confirmed cases',x))\n", "df_India = df_India.rename(columns={'Deaths ( more than 70% cases due to comorbidities )':'Deaths', \n", " 'Deaths**':'Deaths'})" ], "execution_count": 10, "outputs": [] }, { "cell_type": "code", "metadata": { "scrolled": false, "id": "1jJMwxlu2wE5", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 168 }, "outputId": "9c45845d-57cc-4786-ece0-991decc3c673" }, "source": [ "# unique state names\n", "df_India['State/UnionTerritory'].unique()" ], "execution_count": 11, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "array(['Andaman and Nicobar Islands', 'Andhra Pradesh',\n", " 'Arunachal Pradesh', 'Assam', 'Bihar', 'Chandigarh',\n", " 'Chhattisgarh', 'Dadra and Nagar Haveli and Daman and Diu',\n", " 'Delhi', 'Goa', 'Gujarat', 'Haryana', 'Himachal Pradesh',\n", " 'Jammu and Kashmir', 'Jharkhand', 'Karnataka', 'Kerala', 'Ladakh',\n", " 'Madhya Pradesh', 'Maharashtra', 'Manipur', 'Meghalaya', 'Mizoram',\n", " 'Nagaland', 'Odisha', 'Puducherry', 'Punjab', 'Rajasthan',\n", " 'Sikkim', 'Tamil Nadu', 'Telangana', 'Tripura', 'Uttarakhand',\n", " 'Uttar Pradesh', 'West Bengal'], dtype=object)" ] }, "metadata": { "tags": [] }, "execution_count": 11 } ] }, { "cell_type": "code", "metadata": { "id": "1YrneB7O2wFB", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 168 }, "outputId": "21a0ef24-019d-45db-ed53-d4f9ce41c7d3" }, "source": [ "# number of missing values \n", "df_India.isna().sum()" ], "execution_count": 12, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "State/UnionTerritory 0\n", "Active Cases* 0\n", "Cured/Discharged/Migrated* 0\n", "Deaths 0\n", "Total Confirmed cases* 0\n", "Date 0\n", "Latitude 0\n", "Longitude 0\n", "dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 12 } ] }, { "cell_type": "code", "metadata": { "scrolled": true, "id": "cfN0cpaE2wFK", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 168 }, "outputId": "a6198a7e-cbad-406f-c49c-6b976292fab1" }, "source": [ "# number of unique values \n", "df_India.nunique()" ], "execution_count": 14, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "State/UnionTerritory 35\n", "Active Cases* 35\n", "Cured/Discharged/Migrated* 35\n", "Deaths 26\n", "Total Confirmed cases* 35\n", "Date 1\n", "Latitude 35\n", "Longitude 32\n", "dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 14 } ] }, { "cell_type": "markdown", "metadata": { "id": "ntYd3Pqn2wFd", "colab_type": "text" }, "source": [ "# Saving data" ] }, { "cell_type": "code", "metadata": { "id": "zMqnBJnF2wFf", "colab_type": "code", "colab": {} }, "source": [ "# saving data\n", "# ===========\n", "\n", "# file names as year-month-day.csv format\n", "file_name = now.strftime(\"%Y_%m_%d\")+' - COVID-19_India.csv'\n", "\n", "# location for saving the file\n", "file_loc = '/content/'\n", "\n", "# save file as a scv file\n", "df_India.to_csv(file_loc + file_name, index=False)\n", "\n", "# df_India.head(36)" ], "execution_count": 15, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "rW4GV7g6C4OI", "colab_type": "code", "colab": {} }, "source": [ "# fix datatype\n", "df_India['Date'] = pd.to_datetime(df_India['Date'])" ], "execution_count": 16, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "nbR3kil72wGX", "colab_type": "code", "colab": {} }, "source": [ "# rename state/UT names\n", "df_India['State/UnionTerritory'].replace('Chattisgarh', 'Chhattisgarh', inplace=True)\n", "df_India['State/UnionTerritory'].replace('Pondicherry', 'Puducherry', inplace=True) " ], "execution_count": 17, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "cf19Hgz-2wGm", "colab_type": "text" }, "source": [ "## Final dataframe" ] }, { "cell_type": "code", "metadata": { "id": "Ue3vzzSQ2wGn", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "cd789087-32a7-4504-9f54-ffbbdd4d8c85" }, "source": [ "df_India.head(36)" ], "execution_count": 18, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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State/UnionTerritoryActive Cases*Cured/Discharged/Migrated*DeathsTotal Confirmed cases*DateLatitudeLongitude
0Andaman and Nicobar Islands505001002020-07-0211.740192.6586
1Andhra Pradesh80716988193152522020-07-0215.912979.7400
2Arunachal Pradesh1286611952020-07-0228.218094.7278
3Assam271958511285822020-07-0226.200692.9376
4Bihar2233794670102492020-07-0225.096185.3131
5Chandigarh7336764462020-07-0230.733376.7794
6Chhattisgarh62323031429402020-07-0221.278781.8661
7Dadra and Nagar Haveli and Daman and Diu1298602152020-07-0220.428372.8397
8Delhi27007599922803898022020-07-0228.704177.1025
9Goa713670413872020-07-0215.299374.1240
10Gujarat7335240301867332322020-07-0222.258771.1924
11Haryana420210499240149412020-07-0229.058876.0856
12Himachal Pradesh355614109792020-07-0231.104877.1734
13Jammu and Kashmir2734485610576952020-07-0233.778276.5762
14Jharkhand57519311525212020-07-0223.610285.2799
15Karnataka81988063253165142020-07-0215.317375.7139
16Kerala213024392445932020-07-0210.850576.2711
17Ladakh29569419902020-07-0234.299678.2932
18Madhya Pradesh262510655581138612020-07-0222.973478.6569
19Maharashtra790919315480531802982020-07-0219.751575.7139
20Manipur681579012602020-07-0224.663793.9063
21Meghalaya9421522020-07-0225.467091.3662
22Mizoram3712301602020-07-0223.164592.9376
23Nagaland29116804592020-07-0226.158494.5624
24Odisha193853532573162020-07-0220.951785.0985
25Puducherry430272127142020-07-0211.941679.8083
26Punjab1652386714956682020-07-0231.147175.3412
27Rajasthan331714574421183122020-07-0227.023874.2179
28Sikkim485301012020-07-0227.533088.5122
29Tamil Nadu39859529261264940492020-07-0211.127178.6569
30Telangana90088082267173572020-07-0217.385078.4867
31Tripura3021093113962020-07-0223.940891.9882
32Uttarakhand58923174129472020-07-0230.066879.0193
33Uttar Pradesh670916629718240562020-07-0226.846780.9462
34West Bengal595912528683191702020-07-0222.986887.8550
\n", "
" ], "text/plain": [ " State/UnionTerritory Active Cases* ... Latitude Longitude\n", "0 Andaman and Nicobar Islands 50 ... 11.7401 92.6586\n", "1 Andhra Pradesh 8071 ... 15.9129 79.7400\n", "2 Arunachal Pradesh 128 ... 28.2180 94.7278\n", "3 Assam 2719 ... 26.2006 92.9376\n", "4 Bihar 2233 ... 25.0961 85.3131\n", "5 Chandigarh 73 ... 30.7333 76.7794\n", "6 Chhattisgarh 623 ... 21.2787 81.8661\n", "7 Dadra and Nagar Haveli and Daman and Diu 129 ... 20.4283 72.8397\n", "8 Delhi 27007 ... 28.7041 77.1025\n", "9 Goa 713 ... 15.2993 74.1240\n", "10 Gujarat 7335 ... 22.2587 71.1924\n", "11 Haryana 4202 ... 29.0588 76.0856\n", "12 Himachal Pradesh 355 ... 31.1048 77.1734\n", "13 Jammu and Kashmir 2734 ... 33.7782 76.5762\n", "14 Jharkhand 575 ... 23.6102 85.2799\n", "15 Karnataka 8198 ... 15.3173 75.7139\n", "16 Kerala 2130 ... 10.8505 76.2711\n", "17 Ladakh 295 ... 34.2996 78.2932\n", "18 Madhya Pradesh 2625 ... 22.9734 78.6569\n", "19 Maharashtra 79091 ... 19.7515 75.7139\n", "20 Manipur 681 ... 24.6637 93.9063\n", "21 Meghalaya 9 ... 25.4670 91.3662\n", "22 Mizoram 37 ... 23.1645 92.9376\n", "23 Nagaland 291 ... 26.1584 94.5624\n", "24 Odisha 1938 ... 20.9517 85.0985\n", "25 Puducherry 430 ... 11.9416 79.8083\n", "26 Punjab 1652 ... 31.1471 75.3412\n", "27 Rajasthan 3317 ... 27.0238 74.2179\n", "28 Sikkim 48 ... 27.5330 88.5122\n", "29 Tamil Nadu 39859 ... 11.1271 78.6569\n", "30 Telangana 9008 ... 17.3850 78.4867\n", "31 Tripura 302 ... 23.9408 91.9882\n", "32 Uttarakhand 589 ... 30.0668 79.0193\n", "33 Uttar Pradesh 6709 ... 26.8467 80.9462\n", "34 West Bengal 5959 ... 22.9868 87.8550\n", "\n", "[35 rows x 8 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 18 } ] }, { "cell_type": "code", "metadata": { "id": "SoU-77kW2wGw", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 269 }, "outputId": "cf09d79a-39f1-440a-e75f-93f56810865f" }, "source": [ "# complete data info\n", "df_India.info()" ], "execution_count": 19, "outputs": [ { "output_type": "stream", "text": [ "\n", "RangeIndex: 35 entries, 0 to 34\n", "Data columns (total 8 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 State/UnionTerritory 35 non-null object \n", " 1 Active Cases* 35 non-null object \n", " 2 Cured/Discharged/Migrated* 35 non-null object \n", " 3 Deaths 35 non-null object \n", " 4 Total Confirmed cases* 35 non-null object \n", " 5 Date 35 non-null datetime64[ns]\n", " 6 Latitude 35 non-null float64 \n", " 7 Longitude 35 non-null float64 \n", "dtypes: datetime64[ns](1), float64(2), object(5)\n", "memory usage: 2.3+ KB\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "lNxBWFaJ2wG4", "colab_type": "text" }, "source": [ "## Save as .csv file" ] }, { "cell_type": "code", "metadata": { "id": "FnrzNc9f2wG6", "colab_type": "code", "colab": {} }, "source": [ "# saving data\n", "# ===========\n", "\n", "# file names as year-month-day.csv format\n", "file_name = now.strftime(\"%Y_%m_%d\")+' - COVID-19_India_preprocessed.csv'\n", "\n", "# location for saving the file\n", "file_loc = '/content/'\n", "\n", "# save file as a scv file\n", "df_India.to_csv(file_loc + file_name, index=False)" ], "execution_count": 20, "outputs": [] }, { "cell_type": "code", "metadata": { "_kg_hide-input": true, "_kg_hide-output": true, "id": "GT-J_-YQdhCy", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "70e3a0ce-ee54-4e41-8746-9ac7547b55ba" }, "source": [ "#Learn how to read a .csv file by creating a dataframe using pandas\n", "# Reading the datasets\n", "df= pd.read_csv('/content/2020_07_02 - COVID-19_India_preprocessed.csv')\n", "df_india = df.copy()\n", "df" ], "execution_count": 22, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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State/UnionTerritoryActive Cases*Cured/Discharged/Migrated*DeathsTotal Confirmed cases*DateLatitudeLongitude
0Andaman and Nicobar Islands505001002020-07-0211.740192.6586
1Andhra Pradesh80716988193152522020-07-0215.912979.7400
2Arunachal Pradesh1286611952020-07-0228.218094.7278
3Assam271958511285822020-07-0226.200692.9376
4Bihar2233794670102492020-07-0225.096185.3131
5Chandigarh7336764462020-07-0230.733376.7794
6Chhattisgarh62323031429402020-07-0221.278781.8661
7Dadra and Nagar Haveli and Daman and Diu1298602152020-07-0220.428372.8397
8Delhi27007599922803898022020-07-0228.704177.1025
9Goa713670413872020-07-0215.299374.1240
10Gujarat7335240301867332322020-07-0222.258771.1924
11Haryana420210499240149412020-07-0229.058876.0856
12Himachal Pradesh355614109792020-07-0231.104877.1734
13Jammu and Kashmir2734485610576952020-07-0233.778276.5762
14Jharkhand57519311525212020-07-0223.610285.2799
15Karnataka81988063253165142020-07-0215.317375.7139
16Kerala213024392445932020-07-0210.850576.2711
17Ladakh29569419902020-07-0234.299678.2932
18Madhya Pradesh262510655581138612020-07-0222.973478.6569
19Maharashtra790919315480531802982020-07-0219.751575.7139
20Manipur681579012602020-07-0224.663793.9063
21Meghalaya9421522020-07-0225.467091.3662
22Mizoram3712301602020-07-0223.164592.9376
23Nagaland29116804592020-07-0226.158494.5624
24Odisha193853532573162020-07-0220.951785.0985
25Puducherry430272127142020-07-0211.941679.8083
26Punjab1652386714956682020-07-0231.147175.3412
27Rajasthan331714574421183122020-07-0227.023874.2179
28Sikkim485301012020-07-0227.533088.5122
29Tamil Nadu39859529261264940492020-07-0211.127178.6569
30Telangana90088082267173572020-07-0217.385078.4867
31Tripura3021093113962020-07-0223.940891.9882
32Uttarakhand58923174129472020-07-0230.066879.0193
33Uttar Pradesh670916629718240562020-07-0226.846780.9462
34West Bengal595912528683191702020-07-0222.986887.8550
\n", "
" ], "text/plain": [ " State/UnionTerritory ... Longitude\n", "0 Andaman and Nicobar Islands ... 92.6586\n", "1 Andhra Pradesh ... 79.7400\n", "2 Arunachal Pradesh ... 94.7278\n", "3 Assam ... 92.9376\n", "4 Bihar ... 85.3131\n", "5 Chandigarh ... 76.7794\n", "6 Chhattisgarh ... 81.8661\n", "7 Dadra and Nagar Haveli and Daman and Diu ... 72.8397\n", "8 Delhi ... 77.1025\n", "9 Goa ... 74.1240\n", "10 Gujarat ... 71.1924\n", "11 Haryana ... 76.0856\n", "12 Himachal Pradesh ... 77.1734\n", "13 Jammu and Kashmir ... 76.5762\n", "14 Jharkhand ... 85.2799\n", "15 Karnataka ... 75.7139\n", "16 Kerala ... 76.2711\n", "17 Ladakh ... 78.2932\n", "18 Madhya Pradesh ... 78.6569\n", "19 Maharashtra ... 75.7139\n", "20 Manipur ... 93.9063\n", "21 Meghalaya ... 91.3662\n", "22 Mizoram ... 92.9376\n", "23 Nagaland ... 94.5624\n", "24 Odisha ... 85.0985\n", "25 Puducherry ... 79.8083\n", "26 Punjab ... 75.3412\n", "27 Rajasthan ... 74.2179\n", "28 Sikkim ... 88.5122\n", "29 Tamil Nadu ... 78.6569\n", "30 Telangana ... 78.4867\n", "31 Tripura ... 91.9882\n", "32 Uttarakhand ... 79.0193\n", "33 Uttar Pradesh ... 80.9462\n", "34 West Bengal ... 87.8550\n", "\n", "[35 rows x 8 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 22 } ] }, { "cell_type": "markdown", "metadata": { "id": "2B1zwo4gdhDd", "colab_type": "text" }, "source": [ "## 1.2 Analysing COVID19 Cases in India" ] }, { "cell_type": "code", "metadata": { "_kg_hide-input": true, "id": "5x5FEOVEdhDF", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "ea683fe9-0fb3-484e-bb84-bb47a794191d" }, "source": [ "total_cases = df['Total Confirmed cases*'].sum()\n", "print('Total number of confirmed COVID 2019 cases across India till date ( 2 july , 2020):', total_cases)" ], "execution_count": 23, "outputs": [ { "output_type": "stream", "text": [ "Total number of confirmed COVID 2019 cases across India till date ( 2 july , 2020): 597809\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "_kg_hide-input": true, "_kg_hide-output": false, "id": "jIQzgI5YdhDh", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 738 }, "outputId": "46fb4961-9e89-4aca-9e25-7d0c0c0d3663" }, "source": [ "#Learn how to highlight your dataframe\n", "df_temp = df.drop(['Latitude', 'Longitude', 'Date'], axis = 1) #Removing Date, Latitude and Longitude and other extra columns\n", "df_temp.style.background_gradient(cmap='Reds')" ], "execution_count": 24, "outputs": [ { "output_type": "execute_result", "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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \n", "
State/UnionTerritory Active Cases* Cured/Discharged/Migrated* Deaths Total Confirmed cases*
0Andaman and Nicobar Islands50500100
1Andhra Pradesh8071698819315252
2Arunachal Pradesh128661195
3Assam27195851128582
4Bihar223379467010249
5Chandigarh733676446
6Chhattisgarh6232303142940
7Dadra and Nagar Haveli and Daman and Diu129860215
8Delhi2700759992280389802
9Goa71367041387
10Gujarat733524030186733232
11Haryana42021049924014941
12Himachal Pradesh35561410979
13Jammu and Kashmir273448561057695
14Jharkhand5751931152521
15Karnataka8198806325316514
16Kerala21302439244593
17Ladakh2956941990
18Madhya Pradesh26251065558113861
19Maharashtra79091931548053180298
20Manipur68157901260
21Meghalaya942152
22Mizoram371230160
23Nagaland2911680459
24Odisha19385353257316
25Puducherry43027212714
26Punjab165238671495668
27Rajasthan33171457442118312
28Sikkim48530101
29Tamil Nadu3985952926126494049
30Telangana9008808226717357
31Tripura302109311396
32Uttarakhand5892317412947
33Uttar Pradesh67091662971824056
34West Bengal59591252868319170
" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 24 } ] }, { "cell_type": "code", "metadata": { "id": "yNAR2ENutEMd", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 84 }, "outputId": "b96214df-0010-471c-bfe8-f6cb113ed042" }, "source": [ "today = now.strftime(\"%Y_%m_%d\")\n", "total_cured = df['Cured/Discharged/Migrated*'].sum()\n", "print(\"Total people who were cured as of \"+today+\" are: \", total_cured)\n", "total_cases = df['Total Confirmed cases*'].sum()\n", "print(\"Total people who were detected COVID+ve as of \"+today+\" are: \", total_cases)\n", "total_death = df['Deaths'].sum()\n", "print(\"Total people who died due to COVID19 as of \"+today+\" are: \",total_death)\n", "total_active = total_cases-total_cured-total_death\n", "print(\"Total active COVID19 cases as of \"+today+\" are: \",total_active)" ], "execution_count": 25, "outputs": [ { "output_type": "stream", "text": [ "Total people who were cured as of 2020_07_02 are: 359860\n", "Total people who were detected COVID+ve as of 2020_07_02 are: 597809\n", "Total people who died due to COVID19 as of 2020_07_02 are: 17834\n", "Total active COVID19 cases as of 2020_07_02 are: 220115\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "o1mEEV3h_lEe", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 775 }, "outputId": "3fe2b35f-6010-4933-a930-3114b145d681" }, "source": [ "#Total Active is the Total cases - (Number of death + Cured)\n", "df['Total Active'] = df['Total Confirmed cases*'] - (df['Deaths'] + df['Cured/Discharged/Migrated*'])\n", "total_active = df['Total Active'].sum()\n", "print('Total number of active COVID 2019 cases across India:', total_active)\n", "Tot_Cases = df.groupby('State/UnionTerritory')['Total Active'].sum().sort_values(ascending=False).to_frame()\n", "Tot_Cases.style.background_gradient(cmap='Reds')" ], "execution_count": 26, "outputs": [ { "output_type": "stream", "text": [ "Total number of active COVID 2019 cases across India: 220115\n" ], "name": "stdout" }, { "output_type": "execute_result", "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", " \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", " \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", " \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", " \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", " \n", "
Total Active
State/UnionTerritory
Maharashtra79091
Tamil Nadu39859
Delhi27007
Telangana9008
Karnataka8198
Andhra Pradesh8071
Gujarat7335
Uttar Pradesh6709
West Bengal5959
Haryana4202
Rajasthan3317
Jammu and Kashmir2734
Assam2719
Madhya Pradesh2625
Bihar2233
Kerala2130
Odisha1938
Punjab1652
Goa713
Manipur681
Chhattisgarh623
Uttarakhand589
Jharkhand575
Puducherry430
Himachal Pradesh355
Tripura302
Ladakh295
Nagaland291
Dadra and Nagar Haveli and Daman and Diu129
Arunachal Pradesh128
Chandigarh73
Andaman and Nicobar Islands50
Sikkim48
Mizoram37
Meghalaya9
" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 26 } ] }, { "cell_type": "code", "metadata": { "id": "VsyhpF5_HAb0", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 738 }, "outputId": "8ed2bbf0-5bcb-4fc0-e183-66b19b3d86a5" }, "source": [ "import numpy as np\n", "state_cases = df_india.groupby('State/UnionTerritory')['Total Confirmed cases*','Deaths','Cured/Discharged/Migrated*'].max().reset_index()\n", "\n", "#state_cases = state_cases.astype({'Deaths': 'int'})\n", "state_cases['Active'] = state_cases['Total Confirmed cases*'] - (state_cases['Deaths']+state_cases['Cured/Discharged/Migrated*'])\n", "state_cases[\"Death Rate (per 100)\"] = np.round(100*state_cases[\"Deaths\"]/state_cases[\"Total Confirmed cases*\"],2)\n", "state_cases[\"Cure Rate (per 100)\"] = np.round(100*state_cases[\"Cured/Discharged/Migrated*\"]/state_cases[\"Total Confirmed cases*\"],2)\n", "state_cases.sort_values('Total Confirmed cases*', ascending= False).fillna(0).style.background_gradient(cmap='Blues',subset=[\"Total Confirmed cases*\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"Deaths\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"Cured/Discharged/Migrated*\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"Active\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"Death Rate (per 100)\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"Cure Rate (per 100)\"])" ], "execution_count": 27, "outputs": [ { "output_type": "execute_result", "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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
State/UnionTerritory Total Confirmed cases* Deaths Cured/Discharged/Migrated* Active Death Rate (per 100) Cure Rate (per 100)
19Maharashtra180298805393154790914.47000051.670000
29Tamil Nadu94049126452926398591.34000056.270000
8Delhi89802280359992270073.12000066.800000
10Gujarat3323218672403073355.62000072.310000
32Uttar Pradesh240567181662967092.98000069.130000
34West Bengal191706831252859593.56000065.350000
27Rajasthan183124211457433172.30000079.590000
30Telangana17357267808290081.54000046.560000
15Karnataka16514253806381981.53000048.830000
1Andhra Pradesh15252193698880711.27000045.820000
11Haryana149412401049942021.61000070.270000
18Madhya Pradesh138615811065526254.19000076.870000
4Bihar1024970794622330.68000077.530000
3Assam858212585127190.14000068.180000
13Jammu and Kashmir7695105485627341.36000063.110000
24Odisha731625535319380.34000073.170000
26Punjab5668149386716522.63000068.230000
16Kerala459324243921300.52000053.100000
33Uttarakhand29474123175891.39000078.620000
6Chhattisgarh29401423036230.48000078.330000
14Jharkhand25211519315750.60000076.600000
31Tripura1396110933020.07000078.300000
9Goa138746707130.29000048.310000
20Manipur126005796810.00000045.950000
17Ladakh99016942950.10000070.100000
12Himachal Pradesh979106143551.02000062.720000
25Puducherry714122724301.68000038.100000
23Nagaland45901682910.00000036.600000
5Chandigarh4466367731.35000082.290000
7Dadra and Nagar Haveli and Daman and Diu2150861290.00000040.000000
2Arunachal Pradesh1951661280.51000033.850000
22Mizoram1600123370.00000076.880000
28Sikkim101053480.00000052.480000
0Andaman and Nicobar Islands100050500.00000050.000000
21Meghalaya5214291.92000080.770000
" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 27 } ] }, { "cell_type": "markdown", "metadata": { "id": "XAYwGG6ljgcN", "colab_type": "text" }, "source": [ "**Visualization Inference:** \n", "\n", "* Almost +18,611 cases of COVID-19 has been reported today (2 july) taking total cases to 5,97,809. \n", "* The cases have been confirmed across 32 states and union territories. \n", "* Out of5,97,809 cases, 3,59,860 people have been cured, discharged or migrated.\n", "* Maharashtra, Tamilnaidu,Delhi and Gujrat are worsely affected states with maximum number of confirmed cases\n", "* Till 2nd july 17834 people have died in India\n" ] }, { "cell_type": "markdown", "metadata": { "id": "2-LoBF2Mwgs2", "colab_type": "text" }, "source": [ "##Finding more detail COVID Insights in India" ] }, { "cell_type": "code", "metadata": { "id": "kY6BCztbRecP", "colab_type": "code", "colab": {} }, "source": [ "age_details = pd.read_csv('/content/AgeGroupDetails_.csv')\n", "india_covid_19 = pd.read_csv('/content/covid_19_india.csv')\n", "hospital_beds = pd.read_csv('/content/HospitalBedsIndia.csv')\n", "individual_details = pd.read_csv('/content/IndividualDetails.csv')\n", "ICMR_details = pd.read_csv('/content/ICMRTestingDetails.csv')\n", "ICMR_labs = pd.read_csv('/content/ICMRTestingLabs.csv')\n", "state_testing = pd.read_csv('/content/StatewiseTestingDetails.csv')\n", "population = pd.read_csv('/content/population_india_census2011.csv')" ], "execution_count": 29, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "m2GVTjEiTnLc", "colab_type": "code", "colab": {} }, "source": [ "india_covid_19['Date'] = pd.to_datetime(india_covid_19['Date'],dayfirst = True)\n", "state_testing['Date'] = pd.to_datetime(state_testing['Date'])\n", "ICMR_details['DateTime'] = pd.to_datetime(ICMR_details['DateTime'],dayfirst = True)\n", "ICMR_details = ICMR_details.dropna(subset=['TotalSamplesTested', 'TotalPositiveCases'])" ], "execution_count": 30, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "CriLxS7bULtf", "colab_type": "code", "colab": {} }, "source": [ "confirmed_df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", "deaths_df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')\n", "recovered_df = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", "latest_data = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/04-04-2020.csv')\n" ], "execution_count": 31, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "weI9oKK8S_rY", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 742 }, "outputId": "9d60b849-dc6d-47cc-bd99-3f9e98a900ef" }, "source": [ "labels = list(age_details['AgeGroup'])\n", "sizes = list(age_details['TotalCases'])\n", "\n", "explode = []\n", "\n", "for i in labels:\n", " explode.append(0.05)\n", " \n", "plt.figure(figsize= (15,10))\n", "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=9, explode =explode)\n", "centre_circle = plt.Circle((0,0),0.70,fc='white')\n", "\n", "fig = plt.gcf()\n", "fig.gca().add_artist(centre_circle)\n", "plt.title('India - Age Group wise Distribution',fontsize = 40)\n", "plt.axis('equal') \n", "plt.tight_layout()" ], "execution_count": 32, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "markdown", "metadata": { "id": "RUOUsithTJBB", "colab_type": "text" }, "source": [ "We could see that the age group <40 is the most affected which is against the trend which says elderly people are more at risk of being affected. Only 17% of people >60 are affected." ] }, { "cell_type": "code", "metadata": { "id": "M-wmJf7QTEQm", "colab_type": "code", "colab": {} }, "source": [ "dates = list(confirmed_df.columns[4:])\n", "dates = list(pd.to_datetime(dates))\n", "dates_india = dates[8:]" ], "execution_count": 33, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "yLoWofN5Udej", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 688 }, "outputId": "a6f68a42-928f-4781-bf11-330faf1a8449" }, "source": [ "tes = list(pd.to_datetime(dates))\n", "dates_india = dates[8:]\n", "df1 = confirmed_df.groupby('Country/Region').sum().reset_index()\n", "df2 = deaths_df.groupby('Country/Region').sum().reset_index()\n", "df3 = recovered_df.groupby('Country/Region').sum().reset_index()\n", "\n", "k = df1[df1['Country/Region']=='India'].loc[:,'1/30/20':]\n", "india_confirmed = k.values.tolist()[0] \n", "\n", "k = df2[df2['Country/Region']=='India'].loc[:,'1/30/20':]\n", "india_deaths = k.values.tolist()[0] \n", "\n", "k = df3[df3['Country/Region']=='India'].loc[:,'1/30/20':]\n", "india_recovered = k.values.tolist()[0] \n", "\n", "plt.figure(figsize= (15,10))\n", "plt.xticks(rotation = 90 ,fontsize = 11)\n", "plt.yticks(fontsize = 10)\n", "plt.xlabel(\"Dates\",fontsize = 20)\n", "plt.ylabel('Total cases',fontsize = 20)\n", "plt.title(\"Total Confirmed, Active, Death in India\" , fontsize = 20)\n", "\n", "ax1 = plt.plot_date(y= india_confirmed,x= dates_india,label = 'Confirmed',linestyle ='-',color = 'b')\n", "ax2 = plt.plot_date(y= india_recovered,x= dates_india,label = 'Recovered',linestyle ='-',color = 'g')\n", "ax3 = plt.plot_date(y= india_deaths,x= dates_india,label = 'Death',linestyle ='-',color = 'r')\n", "plt.legend()" ], "execution_count": 34, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 34 }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "Ff1hYWrAK92X", "colab_type": "text" }, "source": [ "###Total Samples Tested" ] }, { "cell_type": "code", "metadata": { "id": "BaF0Gd1VbUjp", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 336 }, "outputId": "1597ba40-184e-4aaf-aa6f-ddafd636c066" }, "source": [ "import matplotlib.dates as mdates\n", "ICMR_details['Percent_positive'] = round((ICMR_details['TotalPositiveCases']/ICMR_details['TotalSamplesTested'])*100,1)\n", "\n", "fig, ax1 = plt.subplots(figsize= (15,5))\n", "ax1.xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))\n", "ax1.set_ylabel('Positive Cases (% of Total Samples Tested)')\n", "ax1.bar(ICMR_details['DateTime'] , ICMR_details['Percent_positive'], color=\"red\",label = 'Percentage of Positive Cases')\n", "ax1.text(ICMR_details['DateTime'][0],4, 'Total Samples Tested as of Apr 23rd = 541789', style='italic',fontsize= 10,\n", " bbox={'facecolor': 'white' ,'alpha': 0.5, 'pad': 5})\n", "\n", "ax2 = ax1.twinx() \n", "ax2.xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))\n", "ax2.set_ylabel('Num Samples Tested')\n", "ax2.fill_between(ICMR_details['DateTime'],ICMR_details['TotalSamplesTested'],color = 'black',alpha = 0.5,label = 'Samples Tested');\n", "\n", "plt.legend(loc=\"upper left\")\n", "plt.title('Total Samples Tested')\n", "plt.show()\n" ], "execution_count": 35, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "HUPsnS3Eg7Nl", "colab_type": "text" }, "source": [ "##Testing LIVE Status" ] }, { "cell_type": "code", "metadata": { "id": "KB63tn4FVYc3", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "592c49bd-bd30-41cd-d35f-6b7590e119e7" }, "source": [ "import json\n", "# get response from the web page\n", "response = requests.get('https://api.covid19india.org/state_test_data.json')\n", "\n", "# get contents from the response\n", "content = response.content\n", "\n", "# parse the json file\n", "parsed = json.loads(content)\n", "\n", "# keys\n", "parsed.keys()" ], "execution_count": 36, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['states_tested_data'])" ] }, "metadata": { "tags": [] }, "execution_count": 36 } ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "8Mv9pbSoM1j0", "colab": { "base_uri": "https://localhost:8080/", "height": 299 }, "outputId": "fb51f6ea-b08b-4c33-c30b-a22fdf0a96f8" }, "source": [ "# save data in a dataframe\n", "tested = pd.DataFrame(parsed['states_tested_data'])\n", "\n", "# first few rows\n", "tested.tail()" ], "execution_count": 37, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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coronaenquirycallscumulativepeopleinquarantinenegativenumcallsstatehelplinenumicubedsnumisolationbedsnumventilatorspeopleinicupeopleonventilatorspopulationncp2019projectionpositivesource1source2statetagpeopleinquarantinetagtotaltestedtestpositivityratetestspermilliontestsperpositivecasetestsperthousandtotaln95maskstotalpeoplecurrentlyinquarantinetotalpeoplereleasedfromquarantinetotalppetotaltestedunconfirmedupdatedon_d6ua4
26419483959690600016711https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.65%4730274.73966040718194993159626245834327/06/2020NaN
26429483959690600017283https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.69%4839274.84976040693795383160626246890628/06/2020NaN
26439483959690600017907https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.74%4937274.94983040693195944161826247841929/06/2020NaN
26449483959690600018559https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.80%5036265.04991040679596162162826248803830/06/2020NaN
26459483959690600019170https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.85%5135265.131001040666896702163826249759601/07/2020NaN
\n", "
" ], "text/plain": [ " coronaenquirycalls cumulativepeopleinquarantine ... updatedon _d6ua4\n", "2641 ... 27/06/2020 NaN\n", "2642 ... 28/06/2020 NaN\n", "2643 ... 29/06/2020 NaN\n", "2644 ... 30/06/2020 NaN\n", "2645 ... 01/07/2020 NaN\n", "\n", "[5 rows x 28 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 37 } ] }, { "cell_type": "code", "metadata": { "id": "QWJ9lVTsXeb_", "colab_type": "code", "colab": {} }, "source": [ "# fix datatype\n", "tested['updatedon'] = pd.to_datetime(tested['updatedon'])" ], "execution_count": 39, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "Z42Q39lMNInD", "colab_type": "code", "colab": {} }, "source": [ "# save file as a scv file\n", "tested.to_csv('updated_tests_latest_state_level.csv', index=False)\n" ], "execution_count": 40, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "INr46s6yhue3", "colab_type": "code", "colab": {} }, "source": [ "state_test_cases = tested.groupby(['updatedon','state'])['totaltested','populationncp2019projection','testpositivityrate',\t'testsperpositivecase',\t'testsperthousand','totalpeoplecurrentlyinquarantine'].max().reset_index()" ], "execution_count": 38, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "SgaaaRYZQZ7A", "colab_type": "text" }, "source": [ "" ] }, { "cell_type": "code", "metadata": { "id": "6L9pADIYf0Kd", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "91167c16-588f-4f8c-8dc1-1cc38d9e219a" }, "source": [ "state_test_cases.head(36)" ], "execution_count": 41, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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updatedonstatetotaltestedpopulationncp2019projectiontestpositivityratetestsperpositivecasetestsperthousandtotalpeoplecurrentlyinquarantine
001/04/2020Delhi2621198140000.00%0.13
101/04/2020Kerala7965351250003.33%300.23622
201/04/2020West Bengal659969060005.61%180.01
301/05/2020Andaman and Nicobar Islands37543970000.88%1149.46643
401/05/2020Andhra Pradesh102460522210001.43%701.96
501/05/2020Arunachal Pradesh72415040000.28%3620.48
601/05/2020Assam342930000.00
701/05/2020Bihar241181195200001.93%520.202156
801/05/2020Chandigarh125211790007.03%141.06
901/05/2020Chhattisgarh18039287240000.24%4200.63575
1001/05/2020Dadra and Nagar Haveli and Daman and Diu40039590000.00%4.17
1101/05/2020Delhi198140000.00
1201/05/2020Goa218115400000.32%3121.42468
1301/05/2020Gujarat68774679360006.86%151.0143871
1401/05/2020Haryana30191286720001.18%851.05
1501/05/2020Himachal Pradesh647273000000.62%1620.89
1601/05/2020Jammu and Kashmir21695132030002.95%341.64185
1701/05/2020Jharkhand11771374030000.96%1040.3112116
1801/05/2020Karnataka64898657980000.91%1100.99
1901/05/2020Kerala29012351250001.71%580.83432
2001/05/2020Ladakh24302930000.91%1108.29704
2101/05/2020Madhya Pradesh44116822320006.15%160.54
2201/05/2020Maharashtra1441591221530007.28%141.18
2301/05/2020Manipur46131030000.43%2310.1577
2401/05/2020Mizoram18011920000.56%1800.15794
2501/05/2020Nagaland66421500000.00%0.3129
2601/05/2020Odisha34133436710000.44%2290.78
2701/05/2020Puducherry269815040000.33%3001.79
2801/05/2020Punjab23176298590002.52%400.78
2901/05/2020Rajasthan108543772640002.46%411.40
3001/05/2020Tamil Nadu129363756950001.95%511.7140
3101/05/2020Tripura482839920000.06%16091.21
3201/05/2020Uttar Pradesh824592249790002.82%350.3711769
3301/05/2020Uttarakhand7042111410000.81%1240.632307
3401/05/2020West Bengal18566969060000.00%0.19
3501/06/2020Andaman and Nicobar Islands78053970000.42%23719.660
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" ], "text/plain": [ " updatedon ... totalpeoplecurrentlyinquarantine\n", "0 01/04/2020 ... \n", "1 01/04/2020 ... 622\n", "2 01/04/2020 ... \n", "3 01/05/2020 ... 643\n", "4 01/05/2020 ... \n", "5 01/05/2020 ... \n", "6 01/05/2020 ... \n", "7 01/05/2020 ... 2156\n", "8 01/05/2020 ... \n", "9 01/05/2020 ... 575\n", "10 01/05/2020 ... \n", "11 01/05/2020 ... \n", "12 01/05/2020 ... 468\n", "13 01/05/2020 ... 43871\n", "14 01/05/2020 ... \n", "15 01/05/2020 ... \n", "16 01/05/2020 ... 185\n", "17 01/05/2020 ... 12116\n", "18 01/05/2020 ... \n", "19 01/05/2020 ... 432\n", "20 01/05/2020 ... 704\n", "21 01/05/2020 ... \n", "22 01/05/2020 ... \n", "23 01/05/2020 ... 77\n", "24 01/05/2020 ... 794\n", "25 01/05/2020 ... 29\n", "26 01/05/2020 ... \n", "27 01/05/2020 ... \n", "28 01/05/2020 ... \n", "29 01/05/2020 ... \n", "30 01/05/2020 ... 40\n", "31 01/05/2020 ... \n", "32 01/05/2020 ... 11769\n", "33 01/05/2020 ... 2307\n", "34 01/05/2020 ... \n", "35 01/06/2020 ... 0\n", "\n", "[36 rows x 8 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 41 } ] }, { "cell_type": "code", "metadata": { "id": "XlE9YdCZc6YA", "colab_type": "code", "colab": {} }, "source": [ "state_test_cases = tested.groupby('state')['totaltested','populationncp2019projection','testpositivityrate',\t'testsperpositivecase',\t'testsperthousand','totalpeoplecurrentlyinquarantine'].max()\n", "state_test_cases['testpositivityrate'] = state_test_cases['testpositivityrate'].str.replace('%', '')" ], "execution_count": 42, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "esdDHBDFj-_C", "colab_type": "code", "colab": {} }, "source": [ "state_test_cases = state_test_cases.apply(pd.to_numeric)" ], "execution_count": 43, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "t1Ob_4rLkz1F", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 134 }, "outputId": "454eaaed-2805-4901-91cb-f7c92105bdfc" }, "source": [ "state_test_cases.nunique()" ], "execution_count": 44, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "totaltested 35\n", "populationncp2019projection 34\n", "testpositivityrate 35\n", "testsperpositivecase 21\n", "testsperthousand 32\n", "totalpeoplecurrentlyinquarantine 26\n", "dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 44 } ] }, { "cell_type": "code", "metadata": { "id": "prIIgi2yXvCR", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 775 }, "outputId": "0752970c-c31c-4927-adcb-6b9883cd6719" }, "source": [ "state_test_cases.sort_values('totaltested', ascending= False).style.background_gradient(cmap='Blues',subset=[\"totaltested\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"populationncp2019projection\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"testpositivityrate\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"testsperpositivecase\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"testsperthousand\"])\\\n", " .background_gradient(cmap='Blues',subset=[\"totalpeoplecurrentlyinquarantine\"])\n", " " ], "execution_count": 45, "outputs": [ { "output_type": "execute_result", "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", " \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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 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totaltested populationncp2019projection testpositivityrate testsperpositivecase testsperthousand totalpeoplecurrentlyinquarantine
state
Maharashtra9953431221530009.07000098.380000nan
Haryana99987286720005.770000879.41000046030.000000
Jharkhand99931374030001.750000993.90000099641.000000
Kerala99692351250003.380000836.800000992.000000
Madhya Pradesh99677822320009.770000274.530000nan
Bihar991081195200005.180000951.910000802.000000
Chhattisgarh98603287240001.800000955.700000924.000000
Uttar Pradesh983002249790005.290000413.3700009911.000000
Karnataka98081657980002.790000999.69000045258.000000
Rajasthan97790772640002.880000499.970000nan
Jammu and Kashmir96826132030006.990000809.88000089.000000
Punjab96329298590004.800000619.8600001634.000000
Andhra Pradesh94558522210007.330000949.770000nan
Telangana92797372200006.63000082.490000nan
Nagaland997121500002.950000987.99000098.000000
Delhi9968198140009.90000099.6900003120.000000
Uttarakhand9915111410004.360000996.2900009996.000000
West Bengal9880969060006.340000405.1300009667.000000
Andaman and Nicobar Islands98593970001.160000999.4600008.000000
Sikkim98496640001.180000989.560000944.000000
Tamil Nadu9842756950009.85000099.88000048.000000
Mizoram984011920003.710000949.7900009989.000000
Gujarat9763679360008.750000255.60000088864.000000
Odisha9690436710002.700000986.200000nan
Dadra and Nagar Haveli and Daman and Diu96789590000.7100009769.700000792.000000
Puducherry965815040004.300000919.7700005611.000000
Tripura959639920002.3700009919.660000829.000000
Meghalaya959232240001.490000976.050000nan
Goa954915400002.270000999.600000981.000000
Himachal Pradesh952273000003.330000989.96000019486.000000
Ladakh9912930007.100000999.010000739.000000
Arunachal Pradesh97015040000.8100009129.650000nan
Assam962342930002.040000999.80000038936.000000
Chandigarh92411790009.78000076.610000nan
Manipur86531030002.460000999.82000090.000000
" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 45 } ] }, { "cell_type": "markdown", "metadata": { "id": "0WbxWEEEK5fN", "colab_type": "text" }, "source": [ "###Day-by-Day Confirmed Cases in Top 15 States in India" ] }, { "cell_type": "code", "metadata": { "id": "ykP1GRZXG7aX", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 770 }, "outputId": "59b7cc7c-cfa3-41df-dac1-b0382544922d" }, "source": [ "all_state = list(df_India['State/UnionTerritory'].unique())\n", "\n", "latest = india_covid_19[india_covid_19['Date'] > '24-03-20']\n", "state_cases = latest.groupby('State/UnionTerritory')['Confirmed','Deaths','Cured'].max().reset_index()\n", "latest['Active'] = latest['Confirmed'] - (latest['Deaths']- latest['Cured'])\n", "state_cases = state_cases.sort_values('Confirmed', ascending= False).fillna(0)\n", "states =list(state_cases['State/UnionTerritory'][0:15])\n", "\n", "states_confirmed = {}\n", "states_deaths = {}\n", "states_recovered = {}\n", "states_dates = {}\n", "states_active={}\n", "for state in states:\n", " df = latest[latest['State/UnionTerritory'] == state].reset_index()\n", " k = []\n", " l = []\n", " m = []\n", " n = []\n", " for i in range(1,len(df)):\n", " k.append(df['Confirmed'][i]-df['Confirmed'][i-1])\n", " l.append(df['Deaths'][i]-df['Deaths'][i-1])\n", " m.append(df['Cured'][i]-df['Cured'][i-1])\n", " n.append(df['Active'][i]-df['Active'][i-1])\n", " states_confirmed[state] = k\n", " states_deaths[state] = l\n", " states_recovered[state] = m\n", " states_active[state] = n\n", " date = list(df['Date'])\n", " states_dates[state] = date[1:]\n", " \n", "fig = plt.figure(figsize= (25,17))\n", "plt.suptitle('Day-by-Day Confirmed Cases in Top 15 States in India',fontsize = 20,y=1.0)\n", "k=0\n", "for i in range(1,15):\n", " ax = fig.add_subplot(5,3,i)\n", " ax.xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))\n", " ax.bar(states_dates[states[k]],states_confirmed[states[k]],label = 'Day wise Confirmed Cases ') \n", " plt.title(states[k],fontsize = 20)\n", " handles, labels = ax.get_legend_handles_labels()\n", " fig.legend(handles, labels, loc='upper left')\n", " k=k+1\n", "plt.tight_layout(pad=5.0)" ], "execution_count": 46, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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Mu5qWaQ7OnAS8HzgiM3/YUO4tlGDK0RFxScc+pHz3JgHrZOabxuObi8BPK+tRAqv7dXy3IuIk4G7gCHro4n+UXrLnUv5HHpmZNzXMO4ISgPgZMEtPKjr/ezWvNNc/LSL+G/hWZmarBRpl5rSIuIwSRL85In4K3ATc0/yZ1vITgDERsUd9P6ZN1dtn5kONE+p38RfAFyLilI4euZk5Jt5I9XlSXUezcylBrl0z86KGOpeiBJRPjojLM/PJiFiScgPEWOADLX6XW/Z27aKRwJjMnHkTQURcSPnufY2SJra7unL87wrsBPyV8nv2Si0/mvJb1hWd/uwkSZL0hgWmh9u4cePo378/gwcP5thjj2XQoEEze0BNnz59ZrlPf/rTnHnmmfzyl79kv/32m6We1VZbjalTp3LFFVfw4Q9/mA9+8IOcd955LLHEEiy99Jsy/bDddtvx5z//mcGDB7PXXntxyimnkJlsuummPPDAAzzwwAM89NBDXHzxxW9abplllmGJJZZg3LhxXd7Ot7yl3ADZv39/Xn/99TmUhsUWW+xN47YNGDCAfv3Kx9qvXz8WX3zxWerLTI4//viZ2zBp0iQ++clPdqp9s9u2F198kcMPP5xLL72UBx98kM9+9rO88sorAFx33XUceOCB3H777WywwQa8+uqrZCaXXHLJzHY8/vjjbLjhhhxwwAFcdtllvPWtb2XHHXfsVOBRkiR1XQ0gPFPfDmqY/kjzxcnqbEqvrI82Tf9pfW4++doaWBX4dWZO6WLzftxx8bq2aQblAuYMyt36HdMfpwQBNoyIDZvq2K+Wbw7EdUsf3G8dPVImdqJso479eGxHsA0gM6dTepfNoAT+Wjm4I9hWl3mK0otwSWDNLrajnTNmE2wDOLkj2FbbMI3Sw6QfcGVj8KwePx2929ZrqGN74D3ATxrL12UeA35I6bm1BUBEDAQ+CzxPSePZWP42Ss/FzloG6Lg7sEufXWZOaQ621ekTKb1g1oqIVVos+nLzhMZ6ahDic8BtjcG2Wu4VygX+AHZrquY1Sm+4tnV3w0vAoY3frcwcR+n1s3a0SSc7F3aifCa/bgy2VcdTenVt1Wa/dur3ah64q9a/GqWX6bspwdXngG9Qeh921r7Abym/Pf9NCdo8HyVF7rFRxrDskuaATZ02g9JLCmb9TWwrItYD/h+lJ+9FjfMy8zlgNGUMuo5/bJNyrE6jfA7N7XimedpceIQ3ejx31Hs1pVfuRj1QP3Tt+O9IM3l0R7Ctlp9MF4O+PfnZSZIkLUoWiIDbpEmT2Hfffdljjz3o168fU6dOZcUVV6R///6cdtppbwpMHXDAAZxxxhkAjBgxomV973//+znjjDPYaqut2GyzzTjttNPYeOONZyn3j3/8gyFDhnD44Yfz+c9/nttvv52RI0cyduxY7r23ZOuZOnUqd9111yzLfuUrX2H//fdn8uSSgv+5557jlFNO4X3vex+TJk2aufy5557Lhz70oVmWn5e23HJLTj/9dKZNKzfp3nXXXUydOpWPfOQjXHrppbz22mtMmDCBv/71ry2Xb7dtL71Ubn5cccUVee6552b2oHv99dd56KGH2HHHHTn11FN5/vnnmTJlCptvvjknnHDCzHHebrnlFqAEV9dee22++c1vsvXWW7dMbSlJknpMR0rExnG1BkbEQRFxc5SxyF6PMr7ODOCdlFRxM2XmfZQ0XdtGxMoNszrS5Z3eUPcedcyYxsfIFu36c/OEzHyY0htraO3R0OG0+jwzcBUR61J6D13d0VMiylg7zese027HzMF83W/zSEeahuuaZ2TmPylBoFVrT5FGUzJzfIv6Hq3PS7eYNzf+Nof5t7WY1jEG2tgW8ybV5yEN0zpSOry7zbHRcdF87fq8FrAEcGebYOgNc2hzj4mITSPiN1HGS5sWb4yP9+VapPF46wgE3hoRp9e0g0OY1X8B/YFssz8+Xcut3bDMLyk9PcdFGVtrmxbHTHc8mJlTW0zv6eNtdt+H6ZTvKpTef8268nvVYzLzd5n5i8z8V2a+kpn/zsyfA9tRgqCHd7aXYR1D7pOU4N3+lF6591DSL/5/lM+35ZiG7UTEshFxXETcHWUcwI5jtOP7OXh2yzfp+K4u2ebY7Oh5uHbdnqmU1LAfBO6MiG9FxGYRsURXtmEO7mxzk8Wj9Nxx2ZXjfwPK35ubW5S/oSsr7eHPTpIkaZHRZ1NKTps2jbXWWovp06fTv39/Pv3pTzNmzBigBHw+9alP8etf/5rNNtuMt771rTOXW3nllXnPe97DDju0H6f4Qx/6EDfddBPrrLMO06ZNY8qUKXz4wx+epdzVV1/NySefzMCBA1liiSW44IILGDx4MD/72c/YZZddePXVVwH41re+NTNFZIcjjjiCF154gQ022IABAwYwcOBAvvzlL/O2t72N008/nVGjRjF9+nTWX399vva1r/XAHuu8Qw89lEceeYR11lmHzGTZZZflqquu4gtf+ALXXXcdw4YNY6WVVmL99ddvuXy7bRs0aBC77bYba6+9Nsstt9zM5adPn85uu+3G888/T2ayzz77MGjQII477jj23Xdf1lxzTTKTIUOGcMMNN3D++edz8cUXM2DAAAYNGjRz7DlJktSzaoq4Zerb/zTM+jWwM/AwpdfSE5ReAlDGJVq8RXWnUca82gcYHRHvAj5GuSDZGDjZg9JLodkNTe+fbNPsJyi9OJak9OIgM6+PiPspY6odlpnP80bQqnEMtKGUXhDNxrRZV0u9tN9m53HKReauXgDtCIo8Ppt6V6Gk5WwMLj3XpnxH2olWY9LNjSfmML9VwGt6J+YNbJjWkVZuTmONdfQi6dhnszs+O2sy8Cqll9tgYJYeJe1EGaPuEuAVythtDwEvUi62j6R8x2Yeb5n52yjjkx1G6RG1X61nLHBUZl5Ti3bsj/+qj3Yae9V8lXLM70kZW+tIYHpEXAUc1iY42xXz63jrzPcByvehWad/r+aHzLw9Iv5GSXW5CSXw1NllJ1B+N38GM9OUnkZJ03om0PqfxCY1yPh3So+5v1HGAJtM+dyWAr5C69/EdjqOza3qo53GY/MzlF6Zu/HG2JGvRMQlwOGZ2e5z66zZHZs9dXNzV47/JYHJbVIod/q3aR58dpIkSYuOzJzlceedd+aCaurUqTlkyJB8+umne7spmk/q8dryWPbhw4cPHz4W1Qel51XOocyWtdwTDdNG1GnXAAOayvejpLea0KKugZQLehMpFwCPrvXs38V2n1OX+0ib+RPq/KWaph/csT5KarVnO9qysO83yoXkBC7s4raOrcu9p838R5r3dd3/s2xHnTemlh/ZNP2Gdvu0lr+hM/V0Zj4loJvAHi3mjazzxjRM+1Gd9rFO7rN1a/kb28zfo3kdc6jvz7X8F7v42d1LSQ+5dot5P5vD/nsbZXy8E2od04Dhdd4OddkTutKehrqXp4xb9ptaz3hg8U4s1+7YmeX4aJh3Tp0/dC7a2bHsHg3Tjq/T9m6zzLl1/sdb1NOl36sutnHLufwsfleX32Vulm+qa4l6nCSwTNP2TWizzOHtvguUIGAC53T2MwUOqvMOnsttWJmSDvaaWs9NXfwchjZMG9qq/Q3zb2AOf0faHCdDm6Z36finpDp+HRjYovzQVvW1+u7NzWfnw4cPHz58+PDhozwWiJSSnfW73/2ONddck3322Ydll+2JMZAlSZIWThHRj5ImDODChlmr1+fLs6RRa7QRJZg1iyx31P+c0lNnR0qPrRfo2phWjWbpBRcRq1Eumk7IMmZPo3MpQa0vUno1LAWcla3Tfc21PrrffkFJH/fJiBg+h/Y39kroyNs9skW51SmpF//VYl8vTDpyqM+a7qK1ByjH2fpt0iaO7OL6z6jPh88p1V3TZ7c6MC4bxrCrZfoBs81Xn5kvZuZ1mXko8D1KD7tt6+y/UXrJdXZ/NNf9VGb+NjM/TUnN+B5gnbmpqxfM7vswgDf2ye0tlu3q79U8Vcca7EiR+XAPVDmN0hsT3kinCyW4066HYcdv4qUt5rXq5dxRH23q7Op39U0y89HM/CVl7LHxwIfqmIULk9spN3i0+g0Y2YV65uazkyRJEgvIGG6dtfPOO/PYY48xenSrTEGSJEkCiIjlgYsoF+D+Tbno3mFCfR7ZYplT51D1GZQLpqdQUlFdmCW949z4SkS8u2H9/YD/ppy//qK5cJbxtC6kjK90bG3HmXO57pb66n7LkgJuDCVwcmVEtBzIOCK2Af7QMOns+vyNiBjUUK4/pedXP+CszrZjAXUZJR3jgRGxXasCEbFJRzCsBkh/CbyDplSkdb9/tovr/xVwNTAMuCwiVmyx/sUi4kBKD6wOE4BhEbFSQ7mobZol6BoRH6lBo2Yr1OeXoATMKNs3IiK+WY+F5rreExGr1teLR8SmLcoM5I20qy+1WG9f9HtK2rxdI6J5gO9DKN/N/83Mf7dYtku/Vz0hIt4REWu2mL4YcBIlHewDtB7rsHmZt9XPe4U2RQ6hpGocl5nPNEx/BhgUEa1uKJhQn0c2rev9wFFt1tNR9yrNMzLzNuAm4BMRsVeb7Vi3/uYSEYOijOXZ7G11W6bzRhBxYdFxrH23pj4GICKWAb7RhXom1OeRjRPn8NlJkiSJPjyGmyRJkrovIsbUl/0ovb7eS7n7fTFKb5bPZubTDYv8HbiFclHzL8DNlIvy2wL/AB5rt67M/HdEXEkZgwzePH5aV90C3BkRv6aMx/VRYD1KGsQftlnmNEoPscHAFZk5cW5XvqDtt8z8Xg2ojAb+XttwG6W33AqUceKG0XDxPTP/EhE/BL4O3FvHNXqxtnmdug3/3dW2LEgy87WI+AQl6HVl3W93UoJEK1PGMVsNWJE3AkdHA1sAh9Qg2811/meAq3jjc+zM+mdExCjgfGAn4OGIuBa4nxKEHUpJ/ziIEgTtcCJwOnBHRFxK6eG4KSXYdgWlt2Sjk4HBEXEL5WL6q8CGte5HKIHkDgdRjpXvAJ+PiJspY5StRBkr8L+AXYF/UXpu3hwR4ynfzUeAt1DG2Fqb0uPzTb3w+qrMfKEGci4G/hwRF1MC6xsCW1NSv+7XZvG5+b2aRUT8CFiuvu3opfS1iPhcff37zPx9fb0scH9E3EY5Xh6nHCebUYKDTwO7ZuaMTqx6IOXzHl3HfruTkpZ3GcpxtS7lt2H/puWupRwPf4yIGyk94e7KzCso4359DTgpIjYDHqQcVzsAv6V8X5pdW5c5sx7XzwPPZeYpdf5ulJ6TZ0XEwcCtlDHOhgDvo/xubQI8Rfk7cEdE3APcDTwKvLOu/13Ayd24IaSv+hVlv36M8pt+GeWz/RTlb9R7OlnP3Hx2kiRJYjYBtxkzZtCv30LVAU4LoRkzOvP/oyRJi7SOrv+vUi5ePkK5mHYp8Kfmi7GZ+XpEfIzSS2w7ythokyhpD48Fxs1hfWdTLvbdlpmtUq911leBnYF9KUGHZ4AfA9/KzFdaLZCZd0TEncD6dC/YBwvgfsvM79QgwZcoF933pAQ/nqFcQP8BcEHTMkdExB2UIMsXKBdnH6L0hjg+Mxe2HiCzyMy7I2I94FDKBeU9KWkVH6ekGRxNCV50lH+69ur6HiWwNYISVD2AEszqdMCt1vc88PGI2JoyBtwmlIBeUAK1/wucl5l/bFjmZxExjdLzaHfKWGw31bZ/klkDbt+jfJ9GUMYgnMEbvTRPysxnG+qeGhH/j5Kedbda31soQbcHKd/Na2rxF4EjKMfbB4GPU74vD9X90dGLcoGQmZfVz/ZoStBsSUqg7XTgmMxsFzjv8u9VG58C3t00beuG1xMoPfGg9MY7hZKy9qOU4NirlH3/A8o4fE91cr1TKYH2rSiBvo9TgnevUAKrP6YcJxOaljuWckPCjpTAXH9Ket8rMvOxiPgwcFyt86OUHndfohzTswRtMvPqiDiMsh8Podzg8EjdTjJzYkRsCHyZclx+tq7zCcpv7E+Aexr21WhKL63NKIHMyZTv6pG8Oci8UMjMrAH8Iym/JQdRfsd+QQmodupYnJvPTpIkSUVk5iwT77rrrlxhhRVYfvnlDbqpz5oxYwZPPfUUTz75JOutt17MeQlJkjSv1Z5ho4F9MnO+piOMiPrni5YAACAASURBVHdQAhSTgVU72bOjT+jN/SZp7kTEOZSA56otglGSJEmSFjEte7hNnz79yieffHL7J598cn63R+qy6dOnX9nbbZAkSTMDXvtTAl6/6oUmHEAZm+fYBSzY1tv7TZIkSZIkdVPLgNuGG264w/xuiCRJkhZMEbE9sAElrdgKwOGZ+dLsl+qxdS9JCbQNpqQhe5wylluf15v7TZIkSZIk9ay2Y7hJkiRJnTSKklbtSeD7wInzcd1L13VOA8YCX65jYi0IenO/SZIkSZKkHtRyDDdJkiRJkiRJkiRJndOvtxsgSZIkSZIkSZIkLcgMuEmSJEmSJEmSJEndYMBNkiRJkiRJkiRJ6gYDbpIkSZIkSZIkSVI3GHCTJEmSJEmSJEmSusGAmyRJkiRJkiRJktQNBtwkSZIkSZIkSZKkbjDgJkmSJEmSJEmSJHWDATdJkiRJkiRJkiSpGwy4SZIkSZIkSZIkSd1gwE2SJEmSJEmSJEnqBgNukiRJkiRJkiRJUjcYcJMkSZIkSZIkSZK6wYCbJEmSJEmSJEmS1A0G3CRJkiRJkiRJkqRuMOAmSZIkSZIkSZIkdYMBN0mSJEmSJEmSJKkbDLhJkiRJkiRJkiRJ3WDATZIkSZIkSZIkSeoGA26SJEmSJEmSJElSNxhwkyRJkiRJkiRJkrrBgJskSZIkSZIkSZLUDQbcJEmSJEmSJEmSpG4w4CZJkiRJkiRJkiR1gwE3SZIkSZIkSZIkqRsMuEmSJEmSJEmSJEndYMBNkiRJkiRJkiRJ6gYDbpIkSZIkSZIkSVI3GHCTJEmSJEmSJEmSusGAmyRJkiRJkiRJktQNBtwkLTAiYo+IyIjYo7fbMi9ExNC6fef0dlskSdKiqZ6L3NA0bUydPrJ3WjX3Wm2PJEnS3IqICRExobfbIalvMuAmaa7UixcZETMi4j2zKXd9Q9k95mMTFwkLexBSkqSFQcO5UGcfe/R2m7ujIUCXEfGlNmU6zmGOnd/tkyRJC6eIWCMiToiI2yNickS8Vp9vjYgfRcSGvd3GeSUiRtZzqzG93RZpUTagtxsgaYE2nfI7sjdwdPPMiBgGjGwoJ0mStCj6dotphwBLAj8Gnmuad+c8b1F7awMv9WB9oyPi/Mx8vgfrlCRJmikiAvhWffQDbgd+DUwG3gG8D/gycFhEHJSZp3ZjdVt0s7mSFmJeAJfUHU8CjwN7RsS3MnN60/x96vMVwM7ztWWSJEl9RGaOaZ5We7EtCZyUmRPmc5PayswHerC68cDqwJHA/9eD9UqSJDX6FjAGeBTYNTNvaS4QEcvzxg1Pcy0zH+rO8pIWbqaUlNRdZwLvAnZonBgRA4E9gL8A41otGBEbRsSPI+Ku2sX/lYh4MCKOj4ilZ7fSiNgsIm6IiOcjYmpEXBkRa7cot0ZEHBcRt0XEfyJiWkQ8EhFnRMSQFuVndsGPiI1qvZPrtKEN6z4jIsbVdb8cEfdGxOiIeEuLOt8REd+sZabWNj8UEb9ul86gjud2UUQ8XffLbRHRvI9vAH5R3/6iKRVVR1tnjrkSEbvVNAovNOYbrymdLo2Ih+u2TI2IWyLic7P7DCRJUs+LiI9HxAUR8c+IeLE+xkbEwRExy/9vEXFO/Vu/akQcVM9PXokyvsjR9Y5vImJURPyt1vdURJwSEW9tUV9Pjnn2E+Ax4Kutzrta6eq5W11msXqu9VAt/6+IODYiFm9TvmOfDW0xz3RMkiQtQCJiNeAbwKvAtq2CbQCZ+VRmHg38sGHZGyIi29TbcgiPaDGGW0QsGRFfi4jrImJiRLxaz2Muj4hN2tSfdf3vioifR8SkiHi9Y31dOSeKiHOA6+vb0U3Xh0a22XWS5gF7uEnqrl8BJ1B6s/2+YfrHgOWBIyh3NreyL6Xn25+B/6XcBLAhcCiwbUR8oE36oR2AnYA/AKcDw4HtgP+KiOGZ+XRD2U8A+1NOPP5COQF7b23vjhExIjMntVjHJsBRwM3A2cBydVnqNq1V67sSeAuwKeVuqpERsWVmvg4z0xr8Efgg8H/AzykpNocAmwE3AWOb1v1u4G/Aw8D5wDLAZ4DLat0dJ1HnUFJQ7QRcxpvTTzWnpjoM2IrS2/B63nxH10+B+4AbKT0Wl6Xsz/MjYs3M/GaL/SNJkuaN44AZwK3AJMrf7M0pqSf/C/h8m+V+REnlfQXwJ8q52HeBxSJicq3395Rzj62AA4H+wAHzaDugpKb8JnBWbcvunVimS+du9VzrN5TzoYeAU4DFgL2AdXtsSyRJUl+1J+Ua94WZed+cCrfIztQT1qac69xIuU70LLAK5Xxs24jYMTP/2GK5ZYC/Ai8Av6WcAz5Z53XlnKjjetzulGtsNzSsY0L3N09SZxlwk9Qtmfl8RFwE7BERQzJzYp21LzCVcgFklvHdqu8DB3YEpzpExN6UwNSXgB+0WO7jwEcz89qGZb5PSVe0Fw13K1ECVidm5rSmdWxNCdh9g9YXmrYG9s/Mn7WY9yXgX5n5prugIuKYWt+nKLnCAdahBNt+n5k7N5XvR+tUBiOBMZn57YayF1ICd1+j3rWUmefUm9Z3qvWf06KuDpsDm2TmHS3mrdOcEiEiFqPsnyMj4vQ2QUlJktTztm/xd7kfpVf7FyLilMy8tcVyGwLv6/ibXXtojaecO7wEbJiZ99d5iwN3AHtFxOjMfGqebU25QegQ4HMRcWJmzml8uq6eu+1KORf6K7BZZr5Sy48G/t4jWyBJkvqyTevzdb3YhvuBlZpuAKf2RPsbcCLlmk6zdSnnPnu1CAR2+pwoM38fEc9RAm43tEpnLmn+MKWkpJ5wJuUO6b0AIuLdlDunf5mZL7VbKDMfaQ62VWdTgnUfbbPoRY3BtuqM+rxR0zomNZ+c1Ol/ovTqareOO9sE28jMh5uDbdWJ9blVnS+3qGdGZj7bouwjwLFNZa8G/k3T9nXBGW2CbS3zj2fmq8CplBszHBBYkqT5pM3f5RmUHm7Q/tzlmMYbZDLzOeByYAngpx3BtjpvGuXmoMUod2TPM7XtX6P87/nfnSjf1XO3Pevz0R3Btlp+MnDM3LZbkiQtMN5Vn2e5UTjKcB1jmh6H9HQDMnNKc7CtTp8IXAKsFRGrtFj0VeDwVr3uunE9S1IvsoebpG7LzFsj4h7KXdLHUrq396ME4tqKMs7bfsAulLSQS/LmGwEGt1n0thbTHq3Pbxr7raYZ+ixlPLn16vz+DUVepbW/zabdbwO+QkmHuQbwDiDatHscJdXjrjUQeRklTeVtNajVyp1tApGPUlJdzo3Zbc8qlDSZW1BSHjSP59Luc5AkST0sIpalBKi2A1YD3tZUpCvnR4/V5+b01fDGRalOja3WHZl5dUT8Cdg6IrbLzKvalZ2Lc7cNKOmXbm5R3Q3daLYkSVrwDQVGN017BDipp1cUEZtSrhVtQhliZbGmIoMpN1I3mtAu00A3rmdJ6kUG3CT1lDOBk4FtKXcaj23Xo6rBrylBq4cpgagngI67dw4BWg50z6zjk5GZ02t6xf5Ns06odT0OXE25uNTR22wPynhprTzRamINEl5H6Wl2b92G/wCv1SKjG9udma9HxObAtyipJjtSZD4fEecCR2XmC3Pavmo6c98zud32rEYJxi1NGdPlT8AU4HXKienutP8cJElSD4qIpShpEFel/H0+D5hMOQdYinIRp93f5Sktpk3vxLyBc9veLvoasCXww4i4ejblunrutiQwOTNfY1Ytz38kSdJC5QlKj/2Vmmdk5g3UG6QjYgBvXLvpURGxM6Un2yvANZRxZV+k3BQ0Evh/tD6Hm925ytxez5LUiwy4Seop51OCSadT7tr5zuwKR8QISrDtf4FtG7vP13FKvt7dBkXE8sDBlMDYBzPz+ab5u85m8VYpI6GMEbIRcE5m7tk4IyJWZNY7p6hpI78KfDUiVqecaO0HHES5ePb5Tm1Q97TbnkOBZYE9m8eAq/tn93ncLkmS9IZ9KMG2bzePvRERm1ACbgukzLy73my0JyUN+SwXvOby3G0KsExEDGwRdHtXi/JQLn5B6/+Hl2q/FZIkqQ+6BdiMkrXn7C4uOwNKMK5FWseunBMcQ+lxNqIxjXet+2eU60CttLxW083rWZJ6kWO4SeoRdZyQSyhpiV4EfjWHRVavz5e3OKnZiFnTGs6N1Si/c39qcXIypM7vqo52/7bFvHYnUDNl5vjMPKuWfYESwOuOjtSTzT37Oqtjey5tMW+O2yNJknrUwv53+RvAS5Qbs5pTZcLcnbvdXpf5UIt5I9u0o2MM3ZVbzBvRZhlJktQ3nUPpuf+piOjq2LQ9dU6wOjCuRbCt3TnKnMzNOVF3rw9J6gEG3CT1pG9Qeq19tPmEoIUJ9Xlk48R6F8+pPdSejnV8KCJmnnBExNspKTDnppdvR50jGyfW1Iw/aC4cEavWec2WpqQTeLnFvK54pj63Gny3MybU55GNEyPio5S77CVJ0vwzoT6PbJwYEe8HjprfjelpmfkYcDyl59khLYpMqM9dOXf7RX3+bkS8pWGZZSjnpq10jG27b+PEiFiXBbgXoSRJi6LMfAg4ljJm2h8i4oNtirbqsdbunGALoCu9yCYAwyJiZlrLOgbbGGB4F+pprA+6dk7U3etDknqAKSUl9ZjM/DezDgDbzt8p3f4/ERF/oQx0vwJlDLh/AI/1QHueiIiLgF2AOyPiT5RxPrai5NW+E1i/i9VeAYwHDq0XZe6gnMzsAFzJrCc26wG/jYi/A/dTtmsQpWfbQFoE6bro/yh3ih8SEcvyRv7vn2Rmq/Famp1GSe10cURcUtu3DrAN8BvgM91snyRJ6rzzKGOdnRQRmwEPAsMo5xm/ZeH4u/xD4Iu80Ztvprk8d/sVZb98DLg3Ii6jnGN9inK++Z4WbbiMsm93rXeJ30o5h9upzvt0N7dRkiTNX9+hjNX2TeCWiBhLCaZNpgTahlLGkgW4sWG5X1DOvY6KiPWAccAalGtTvwM+2cn1n0gZYuWOiLiUkjp7U0qw7Qpgx65szFyeE/2DMs7bLhHxGvAIJWXl+Zn5SFfWL2nu2cNNUq/IzNcpF0Z+ShnY9mBKN/ufAx+l5way3Rv4HiVF5YG17v8BPkgZ86NLMvNFYHPgQuC9lHa/j5Kv+3MtFrkNOI6S3mAb4DDKidtYYLvMPKGrbWhqz7OUE8BxlEFzj6mPpTu5/N2UXOd/AbYHDgDeCXyCcrIoSZLmk9oD7MOUm3g+RBnv9d3Al4Aje7FpPSYzX6DFmLcNunTulpkJjKp19qPss49RLqC1DJxl5iuUcV5+Q7nR6CBKaqbdKOemkiRpAZLFGEqA6yRKJ5PdgCPq8wqUv/EbZuYXGpZ7ipK2+w/ARyjXRDoCW//ThfX/jHIz8+PA7sBngUeBD1DSX8+Nrp4TvU7JOnUz5dzo25TrQ6vO5folzYUo/59IkiRJkiRJkqR2IuIJYEpmrtnbbZHU99jDTZIkSZIkSZKk2ahjxC4HTOzttkjqmxzDTZIkSZIkSZKkFiJiSeBwSlrH/sAlvdsiSX2VKSUlSZIkSZIkSWohIoYC44F/AWcBP8zMGb3ZJkl9kwE3SZIkSZIkSZIkqRscw02SJEmSJEmSJEnqBsdw62HLLbdcDh06tLebIUmS5sLYsWOfzsxBvd2OhY3nR5IkLZg8N5o3PDeSJGnBNKdzIwNuPWzo0KHcdtttvd0MSZI0FyLikd5uw8LI8yNJkhZMnhvNG54bSZK0YJrTuZEpJSVJkiRJkiRJkqRuMOAmSZK0iIuIr0bEfRFxb0T8KiLeEhGrRsStETE+In4dEYvVsovX9+Pr/KG923pJkiRJkqTeZ8BNkiRpERYRg4GDgRGZuQ7QH9gF+AFwYmauDjwL7F0X2Rt4tk4/sZaTJEmSJElapBlwkyRJ0gDgrRExAFgCeBzYHLikzj8X+Hh9vVN9T52/RUTEfGyrJEmSJElSnzOgtxsgSZIWTEOPvLLl9AnHbT+fW6LuyMxJEfEj4N/Ay8CfgLHAc5k5vRabCAyurwcDj9Zlp0fEFGBZ4OnGeiPii8AXAVZZZZV5vRmSJEmSJEm9yoCbJEnSIiwilqb0WlsVeA64GNimu/Vm5hnAGQAjRozI7tYnSVr4tbuZB7yhR5IkqS/yZuw3M6WkJEnSom1L4F+Z+Z/MfA34LbApsFRNMQkwBJhUX08CVgao85cEnpm/TZYkSZIkSepbDLhJkiQt2v4NbBwRS9Sx2LYAxgHXA5+qZXYHLquvL6/vqfOvy0x7sEmSJEmSpEWaATdJkqRFWGbeClwC3A7cQzk/PAM4Ajg0IsZTxmg7qy5yFrBsnX4ocOR8b7QkSZIkSVIfY8BNkiRpEZeZozNzrcxcJzM/n5nTMvPhzNwoM1fPzFGZOa2WfaW+X73Of7i32y9JktRVEXF2RDwVEfc2TFsmIq6JiAfr89J1ekTEyRExPiLujogNGpbZvZZ/MCJ2b7UuSZK0aBgw5yKSJEmSJGlh4MD20kznAKcA5zVMOxK4NjOPi4gj6/sjgG2BYfXxAeCnwAciYhlgNDACSGBsRFyemc/Ot62QJEl9hj3cJEmSJEmStEjJzBuByU2TdwLOra/PBT7eMP28LP4KLBURKwIfBa7JzMk1yHYNsM28b70kSeqLDLhJkiRJkiRJsEJmPl5fPwGsUF8PBh5tKDexTms3fRYR8cWIuC0ibvvPf/7Ts62WJEl9ggE3SZIkSZIkqUFmJiVNZE/Vd0ZmjsjMEYMGDeqpaiVJUh/iGG6SJEmSJEl9XLvx98Ax+HrQkxGxYmY+XlNGPlWnTwJWbig3pE6bBIxsmn7DfGinJEnqgwy4SZKkPqndRSUvKEmSJGkeuRzYHTiuPl/WMP2giLgI+AAwpQblrga+FxFL13JbA0fN5zZLkqQ+woCbJEmSJEmSFikR8StK77TlImIiMJoSaPtNROwNPAJ8uha/CtgOGA+8BOwJkJmTI+IY4O+13Hcyc/J82whJktSnGHCTJEmSJEnSIiUzd20za4sWZRM4sE09ZwNn92DTJEnSAqpfbzdAkiRJkiRJkiRJWpDZw02SJEmSJPV57cZ3Bcd4lSRJUu8z4CZJknpFu4tmXjCTJEmSJEnSgmahTCkZEStHxPURMS4i7ouIr9Tpy0TENRHxYH1euk6PiDg5IsZHxN0RsUFDXbvX8g9GxO69tU2SJEmSJEmSJEnqmxbKgBswHTgsM4cDGwMHRsRw4Ejg2swcBlxb3wNsCwyrjy8CP4USoANGAx8ANgJGdwTpJEmSJEmSJEmSJFhIA26Z+Xhm3l5fPw/cDwwGdgLOrcXOBT5eX+8EnJfFX4GlImJF4KPANZk5OTOfBa4BtpmPmyJJkiRJkiRJkqQ+bqEfwy0ihgLvB24FVsjMx+usJ4AV6uvBwKMNi02s09pNb17HFyk941hllVV6rvGSJC3AHKNNkiSp89qdO4HnT5IkSQuChbKHW4eIeDtwKXBIZk5tnJeZCWRPrCczz8jMEZk5YtCgQT1RpSRJkiRJkiRJkhYQC23ALSIGUoJtv8zM39bJT9ZUkdTnp+r0ScDKDYsPqdPaTZckSZIkSZIkSZKAhTSlZEQEcBZwf2ae0DDrcmB34Lj6fFnD9IMi4iLgA8CUzHw8Iq4GvhcRS9dyWwNHzY9tkCQt+EwLJEmS9GamnJYkSdLCaqEMuAGbAp8H7omIO+u0oymBtt9ExN7AI8Cn67yrgO2A8cBLwJ4AmTk5Io4B/l7LfSczJ8+fTZAkSZIkSZIkSdKCYKEMuGXmzUC0mb1Fi/IJHNimrrOBs3uudZIkSZIkSZIkSVqYLLRjuEmSJEmSJEmSJEnzgwE3SZIkSZIkSZIkqRsMuEmSJEmSJEmSJEndsFCO4SZJkiRJkjQ/DT3yyrbzJhy3/XxsiSRJknqDPdwkSZIkSZIkSZKkbjDgJkmSJEmSJFUR8dWIuC8i7o2IX0XEWyJi1Yi4NSLGR8SvI2KxWnbx+n58nT+0d1svSZJ6iwE3SZKkRVxELBURl0TEAxFxf0RsEhHLRMQ1EfFgfV66lo2IOLleVLo7Ijbo7fZLkiT1lIgYDBwMjMjMdYD+wC7AD4ATM3N14Flg77rI3sCzdfqJtZwkSVoEGXCTJEnSj4E/ZuZawHrA/cCRwLWZOQy4tr4H2BYYVh9fBH46/5srSZI0Tw0A3hoRA4AlgMeBzYFL6vxzgY/X1zvV99T5W0REzMe2SpKkPsKAmyRJ0iIsIpYEPgKcBZCZr2bmc7z54lHzRaXzsvgrsFRErDifmy1JkjRPZOYk4EfAvymBtinAWOC5zJxei00EBtfXg4FH67LTa/ll52ebJUlS3zCgtxsgSZKkXrUq8B/gFxGxHuWC0leAFTLz8VrmCWCF+nrmRaWq44LT4w3TiIgvUnrAscoqq8yzxkuS5q+hR17ZcvqE47afzy2R5o2aRnsnyjnSc8DFwDY9UK/nRpIkLeTs4SZJkrRoGwBsAPw0M98PvMgb6SMByMwEsiuVZuYZmTkiM0cMGjSoxxorSZI0j20J/Csz/5OZrwG/BTal9OrvuHF9CDCpvp4ErAxQ5y8JPNNcqedGkiQt/Ay4SZIkLdomAhMz89b6/hJKAO7JjlSR9fmpOn/mRaWq8YKTJEnSgu7fwMYRsUQdi20LYBxwPfCpWmZ34LL6+vL6njr/unqzkiRJWsQYcJMkSVqEZeYTwKMRsWad1HFRqfHiUfNFpS9EsTEwpSH1pCRJ0gKt3oR0CXA7cA/l2tkZwBHAoRExnjJG21l1kbOAZev0Q2nKFCBJkhYdjuEmSZKkLwO/jIjFgIeBPSkXl34TEXsDjwCfrmWvArYDxgMv1bKSpIWEY7RJkJmjgdFNkx8GNmpR9hVg1PxolyRJ6tsMuEmSJC3iMvNOYESLWVu0KJvAgfO8UZIkSZIkSQsQU0pKkiRJkiRJkiRJ3WDATZIkSZIkSZIkSeoGU0pKkrSQ6u4YLI7hIkmSJEmSJHWOATdJkhZRBtQkSZIkSZKknrFQBtwi4mxgB+CpzFynThsD7Av8pxY7OjOvqvOOAvYGXgcOzsyr6/RtgB8D/YGfZ+Zx83M7JGlR1y4gBAaFJEmSJEmSJPUdC+sYbucA27SYfmJmrl8fHcG24cAuwHvrMqdFRP+I6A+cCmwLDAd2rWUlSZIkSZIkSZKkmRbKHm6ZeWNEDO1k8Z2AizJzGvCviBgPbFTnjc/MhwEi4qJadlwPN1eSJEmSJC3kzN4gSZK0cFsoA26zcVBEfAG4DTgsM58FBgN/bSgzsU4DeLRp+gfmSyslSZIkSWqhr4/B2tfbJ0mSJM0ri1LA7afAMUDW5+OBvXqi4oj4IvBFgFVWWaUnqpQkaY68oCVJkiRJkiT1DQvrGG6zyMwnM/P1zJwBnMkbaSMnASs3FB1Sp7Wb3qruMzJzRGaOGDRoUM83XpIkSZIkSZIkSX3WItPDLSJWzMzH69udgXvr68uBCyPiBGAlYBjwNyCAYRGxKiXQtguw2/xttSRJkiRJ6gzHSJMkSVJvWigDbhHxK2AksFxETARGAyMjYn1KSskJwH4AmXlfRPwGGAdMBw7MzNdrPQcBVwP9gbMz8775vCmSJEmSJHWaKaclSZKk3rFQBtwyc9cWk8+aTfnvAt9tMf0q4KoebJokSZIkSZIkSZIWMovMGG6SJEmSJEmSJEnSvGDATZIkSZIkSZIkSeoGA26SJEmSJEmSJElSNyyUY7hJkiRJkiT1pKFHXtl23oT/n707j5Osqu8+/vkKuEQIoCIhLA4RosEkbhNwiwGJRkAd4goxBBAd80QUl0TRJ08kO+aJCyaKjoBAQgQf0ECEaBAlionIIoIyLhMcZEY2QRHFbeD3/HFPMzVN9Uz3VHdXd9Xn/XrdV1Wde+6tc6q7en5zf+ece/xB89gSSZIkLUTOcJMkSZIkSZKaJNslOTvJV5OsTPLkJA9JcmGSb7TH7VvdJHl3klVJrk7yhGG3X5IkDYcJN0mSJEmSJGm9E4CPV9WjgccCK4FjgYuqak/govYa4ABgz7YtB06c/+ZKkqSFwISbJEmSJEmSBCTZFng6cDJAVf20qr4HLANOa9VOAw5uz5cBp1fn88B2SXaa52ZLkqQFwISbJEmSJEmS1NkduBX4YJIvJjkpyYOBHavqxlbnJmDH9nxn4Iae49e0sg0kWZ7k8iSX33rrrXPYfEmSNCxbDrsBkiRJkiRJc23JsedPuW/18QfNY0u0wG0JPAF4dVVdmuQE1i8fCUBVVZKayUmragWwAmDp0qUzOlaSJC0OznCTJEmSJEmSOmuANVV1aXt9Nl0C7uaJpSLb4y1t/1pg157jd2llkiRpzDjDTZI0shb6KOaF3j5JkiRp3FTVTUluSPKoqvoasD9wbdsOB45vj+e2Q84Djk5yJrAPcEfP0pOSJGmMmHCTJI0tE16SJEmaYGyoHq8Gzkhyf+A64Ei6VaI+nOQo4Hrgxa3uBcCBwCrgrlZXkiSNIRNukiRJkiRJUlNVVwFL++zav0/dAl41542SJEkLnvdwkyRJGnNJtkjyxSQfa693T3JpklVJzmqju0nygPZ6Vdu/ZJjtliRJkiRJWiic4SZJ0mZy2SGNkGOAlcDPt9dvA95ZVWcmeR9wFHBie/xuVe2R5JBW7yXDaLAkSZIkSdJC4gw3SZKkMZZkF+Ag4KT2OsAzgLNbldOAg9vzZe01bf/+rb4kSZIkSdJYM+EmSZI03t4FvBG4p71+KPC9qlrXXq8Bdm7PdwZuAGj772j1JUmSJEmSxpoJN0mSpDGV5DnALVV1xRyce3mSy5Ncfuutt8726SVJkiRJkhYU7+EmSdIUvEebxsBTgeclORB4IN093E4AtkuyZZvFtguwttVfC+wKrEmyJbAtcFu/E1fVCmAFwNKlS2tOeyFJkiRJkjRkIznDLckpSW5J8uWesockuTDJN9rj9q08Y/FpeAAAIABJREFUSd6dZFWSq5M8oeeYw1v9byQ5fBh9kSRJmitV9eaq2qWqlgCHAJ+qqpcCnwZe2KodDpzbnp/XXtP2f6qqTKZJkiRJkqSxN5IJN+BU4NmTyo4FLqqqPYGL2muAA4A927YcOBG6BB3wVmAfYG/grRNJOkmSpBH3JuD1SVbR3aPt5FZ+MvDQVv561sdTkiRJkiRJY20kl5Ssqs8kWTKpeBmwb3t+GnAx3cWkZcDpbXT255Nsl2SnVvfCqrodIMmFdEm8D81x8yVJAlzSUvOrqi6mi4+oquvoBhxNrvNj4EXz2jBJkiRJkqRFYCQTblPYsapubM9vAnZsz3cGbuipt6aVTVUuSeoxVVLIhJAkSZIkSZKkcTGqS0puVJvNNmv3G0myPMnlSS6/9dZbZ+u0kiRJkiRJkiRJWgTGaYbbzUl2qqob25KRt7TytcCuPfV2aWVrWb8E5UT5xf1OXFUrgBUAS5cunbVEniRp41xyUZIkSZIkSdJCME4z3M4DDm/PDwfO7Sn/g3SeBNzRlp78BPCsJNsn2R54ViuTJEmSJEmSJEmS7jWSM9ySfIhudtrDkqwB3gocD3w4yVHA9cCLW/ULgAOBVcBdwJEAVXV7kr8ELmv1/qKqbp+3TkiSJEmSJEmSJGlRGMmEW1UdOsWu/fvULeBVU5znFOCUWWyaJEmSJEmSJEmSRsxIJtwkSZIkSZIkSdJ4W3Ls+X3LVx9/0Dy3RONgnO7hJkmSJEmSJEmSJM06E26SJEmSJElSjyRbJPliko+117snuTTJqiRnJbl/K39Ae72q7V8yzHZLkqThMeEmSZIkSZIkbegYYGXP67cB76yqPYDvAke18qOA77byd7Z6kiRpDJlwkyRJkiRJkpokuwAHASe11wGeAZzdqpwGHNyeL2uvafv3b/UlSdKYMeEmSZIkSZIkrfcu4I3APe31Q4HvVdW69noNsHN7vjNwA0Dbf0erL0mSxsyWw26AJI27Jcee37d89fEHzXNLJEmSJGm8JXkOcEtVXZFk31k873JgOcBuu+02W6eVJC1wm7ru53XBqU312UD3+Wxq/zCYcJMkzSkDB0mSJEmLyFOB5yU5EHgg8PPACcB2SbZss9h2Ada2+muBXYE1SbYEtgVum3zSqloBrABYunRpzXkvJEmzwoTZYMbt8zHhJkkDGrd/OCRJkiRpVFXVm4E3A7QZbn9cVS9N8v+AFwJnAocD57ZDzmuv/7vt/1RVmVCTpEXC63qaTSbcJEmSJEmSpI17E3Bmkr8Cvgic3MpPBv4pySrgduCQIbVPkkaSM8y0mJhwk6QRZ+AhSZIkSTNXVRcDF7fn1wF796nzY+BF89owSZKmaaFfF1zo7ZspE26SJEmSJEmSJEmLzKglrBY7E26SJEmSJC0QXjSRJEmSFicTbpKkofKikiRJkiRJknRfXjdbXEy4SZIkSZIkSZKkeTdVQglMKi0EJvxmxoSbJEmSJEmSJGnRMimwcJlQ0zgx4SZJkiRJkiRJkjRmTFbPLhNukiRJkiRJkiRpxpzBJq1nwk2SxpwjWSRJkuaPsZckSVpMTKhJ02fCTZK0UV4UkiRJkiRJkqSNG7uEW5LVwJ3A3cC6qlqa5CHAWcASYDXw4qr6bpIAJwAHAncBR1TVlcNot6SpDZoQMqEkaZwl2RU4HdgRKGBFVZ1gfCRJkiRJkjR99xt2A4Zkv6p6XFUtba+PBS6qqj2Bi9prgAOAPdu2HDhx3lsqSZI0t9YBb6iqvYAnAa9KshfGR5IkSZIkSdM2djPcprAM2Lc9Pw24GHhTKz+9qgr4fJLtkuxUVTcOpZWS1Icz9CQNosU1N7bndyZZCeyM8ZEkSZIkSdK0jWPCrYD/SFLA+6tqBbBjz0Wim+iWVILuYtMNPceuaWUbXFBKspxuhDe77bbbHDZdkiRp7iRZAjweuJQB4yNJGlcOhpIkSZLG0zgm3J5WVWuTPBy4MMlXe3dWVbVk3LS1pN0KgKVLl87oWEmSpIUgydbAOcBrq+r73a3aOpsTHzkgSZIkSZIkjZOxS7hV1dr2eEuSjwJ7AzdPLIWUZCfgllZ9LbBrz+G7tDJJi4ijjCVp45JsRZdsO6OqPtKKB4qPHJAkSZIkabaM87WdqfoO49F/aTEZq4RbkgcD92v3J3kw8CzgL4DzgMOB49vjue2Q84Cjk5wJ7APc4f1JJEnSKEk3le1kYGVVvaNnl/GRJEmSpJFgwq6/cei/NJ/GKuFGd++Rj7YlkrYE/qWqPp7kMuDDSY4Crgde3OpfABwIrALuAo6c/yZLGrZhB2XDfn9JI++pwGHANUmuamVvoUu0GR9JkiRJkiRNw1gl3KrqOuCxfcpvA/bvU17Aq+ahaZIkSUNRVZcAmWK38ZEkSZIkLWDOYJMWjrFKuEmSJEmSJElTSbIrcDrdKkkFrKiqE5I8BDgLWAKsBl5cVd9ty3OfQLcCwF3AEVV15TDaLkmbw4SdNHtMuEnSHHNJSEmSpNFhbCeNvHXAG6rqyiTbAFckuRA4Arioqo5PcixwLPAm4ABgz7btA5zYHiUtInP577sJLWl8mHCTJEmShsCL9pIkLTxVdSNwY3t+Z5KVwM7AMmDfVu004GK6hNsy4PS27Pbnk2yXZKd2Hkkjwthd0nSYcJO0yZE2jsSRJEmSJI2bJEuAxwOXAjv2JNFuoltyErpk3A09h61pZRsk3JIsB5YD7LbbbnPWZkmSNDwm3CQteI4ikiRJkiTNpyRbA+cAr62q73e3autUVSWpmZyvqlYAKwCWLl06o2MljTYHukuj437DboAkSZIkSZK0UCTZii7ZdkZVfaQV35xkp7Z/J+CWVr4W2LXn8F1amSRJGjPOcJM05xypI0mSJElaDNJNZTsZWFlV7+jZdR5wOHB8ezy3p/zoJGcC+wB3eP826b5cvUjSODDhJkmSJEmSJHWeChwGXJPkqlb2FrpE24eTHAVcD7y47bsAOBBYBdwFHDm/zZUkSQuFCTepcaSNJEmSNPqM+yVtTFVdAmSK3fv3qV/Aq+a0UZIkaVHwHm6SJEmSJEmSJEnSAJzhJi0Ac32Ps8V+fkmSJEmSJI0uZ6BLGgUm3KRFwISWJEnS7BrlizrGjoMZ5d8NSZIkSXPHhJs0AryoIkmSJjNpMBg/P0mSJE2XsaMkMOEmSZIkaQHyooUkSdLsMbaSpLlnwk0jY9iBw7DfX5IkSZIkSZIkDYcJN0mSJEn34WAiSZKk8WHsJ0mDM+EmTdOggYeBy9S8B50kSTM37rHFuPd/LhmbSZIkSdLMmXCTJEmSxpAJKw2LCT1JkiRJo8iEm+aNF3UkSZLGh7GfNtemfnf83ZIkSZK0EJlwm4YkzwZOALYATqqq44fcJEmSJEkbYVJGkiRp9jggRpI2zYTbJiTZAngP8ExgDXBZkvOq6trhtmzm/IdPkiRJWvgW+5KLw26//++RJEmSNAwm3DZtb2BVVV0HkORMYBmw6BJuC53/MZYkSVo8Bo3djP0237ATWpIkaf45w0ySFj4Tbpu2M3BDz+s1wD5DastGzfVFD/9hlyRJkhY/E3aSJEmSNPtMuM2CJMuB5QC77bbb0Nqxqf8cL/b9mzLXx8/l/mF/tu53/0Ldv5Db5v7h75ekhczBaJIkSZI0Xky4bdpaYNee17u0sntV1QpgBcDSpUtr/pomSZIkaRjGOaHmDDlJkiRJui8Tbpt2GbBnkt3pEm2HAL833CZJkiRJWqxMWEmSJEnS6DHhtglVtS7J0cAngC2AU6rqK0NuliRJ0tAkeTZwAl1sdFJVHT/kJg2FSRNJkgTGRpIkqWPCbRqq6gLggmG3Q5IkadiSbAG8B3gmsAa4LMl5VXXtcFsmSZI0/4yNRsemBlMNul+SNPpMuEmSJGkm9gZWVdV1AEnOBJYB835RadCLGnN90cSLLpIkjYUFExvNh43dw3Shx04LPTYb5/vDStKoMOEmSZKkmdgZuKHn9RpgnyG1ZaMW+kUVSZI0EhZUbDRo0mYukz4LfbCUJEmDSlUNuw0jJcmtwPXDbsci8DDgO8NuxBwa5f6Nct9g9Ps3qFH/fEa5f6PcN5i9/j2iqnaYhfOMrCQvBJ5dVS9vrw8D9qmqoyfVWw4sby8fBXxtXhu6+PgdXdxGuX+j3LfZMOqfj/1bvIyN5omx0ZzyO7p42b/xNeqfjf1b3GajfxuNjZzhNssMRKcnyeVVtXTY7Zgro9y/Ue4bjH7/BjXqn88o92+U+waj378FZi2wa8/rXVrZBqpqBbBivhq12I3677D9W7xGuW+zYdQ/H/u3eI1y3xYgY6M5Msq/x6PcN7B/42zUPxv7t7jNR//uN5cnlyRJ0si5DNgzye5J7g8cApw35DZJkiQNi7GRJEkCnOEmSZKkGaiqdUmOBj4BbAGcUlVfGXKzJEmShsLYSJIkTTDhpmEZ9WUURrl/o9w3GP3+DWrUP59R7t8o9w1Gv38LSlVdAFww7HaMmFH/HbZ/i9co9202jPrnY/8Wr1Hu24JjbDRnRvn3eJT7BvZvnI36Z2P/Frc571+qaq7fQ5IkSZIkSZIkSRpZ3sNNkiRJkiRJkiRJGoAJN222JM9O8rUkq5Ic28qObq8rycM2cfzBrd6j56fFMzNF//ZPcmWSq5JckmSPjRz/2iQ/TrLt/LV6epKckuSWJF/uKTsuydrWt6uSHLiR4x/XfnbPnp8WT1+SXZN8Osm1Sb6S5JhW/n+TfDXJ1Uk+mmS7jZxjwfZvEIN8Z5NcnORbSdJT9q9JfjAfbZ+OQb6zSVYn+eyksqt6vyPDNMh3NsmpSe5Ksk1P2bum83d6Pgz6nV3o/dN4MTYyNlqosYPxUX/GRsZGPWULKnYwPtIoGeX4yNjI2Ggh93FzjXJ8ZGxkbDQffTThps2SZAvgPcABwF7AoUn2Aj4H/DZw/TROcyhwSXvcnPefMxvp34nAS6vqccC/AH+6kdMcClwGPH+G750kc/3dPBXoFxC8s6oe17aNrT+/YH92wDrgDVW1F/Ak4FXtZ3ch8KtV9evA14E3b+QcC7l/m2WWvrPfA57azrcdsNPctHbmZuk7u02SXdv5fmWOmzxTpzLYd3YVsAyg/X15BrB21lu5eWbjO7uQ+6cxYWxkbMQC/dk1xkeTGBsZG7GwYwfjI42EUY6PjI2MjVj4fZyxUY6PjI2MjZinPppw0+baG1hVVddV1U+BM4FlVfXFqlq9qYOTbA08DTgKOKSnfN8kn0lyfhtx8L6JICLJD5K8PcmXgCfPRad69O0fUMDPtzrbAt/ud3CSRwJb0/2RPrSn/Igk56Yb8fGNJG9t5Utaf08HvgzsOlcdA6iqzwC3b86xSQK8CDgCeGaSB7byJW1EwRlJViY5O8nPtX2rk7wtyZXt2DlTVTdW1ZXt+Z3ASmDnqvqPqlrXqn0e2GUx9m8AA31nmzNZ/319PvCRiR1Jtk5yUbpRQdckmfgH7C+SvLan3l+njUKZZQN9Z5sPAy9pzw8FPjSxo/38P9v6d2WSp7Ty05Mc3FPvjIm+z6ZBvrPNmazv2750wfLE92FixNkV6UYJLW9lL0vyrp46r0jyzgHa0Neg39lmwfZPY8XYyNjoCBZo7GB81JexkbHRgo0djI80QkY5PjI2msJiiBuMjaY0yvGRsdHGLei4YTHFRibctLl2Bm7oeb2mlU3XMuDjVfV14LYkT+zZtzfwarrRBo9k/UifBwOXVtVjq+qSzW759EzVv5cDFyRZAxwGHD/F8YfQfYk/CzwqyY49+/YGXgD8OvCiJEtb+Z7Ae6vqMVU1nREjc+HodFNwT0my/RR1ngJ8s6r+B7gYOKhn36Po+vArwPeBP+rZd1tVPaGqzpyLhveTZAnweODSSbteBvz7FIctmv7N0KDfWYCLgKenGxV0CHBWz74fA79bVU8A9gPe3gLQU4A/gHtHjxwC/PNm9WDjBv3OApzD+r83zwX+rWffLcAzW/9eAry7lZ9MF2CTbhmQpwDnD9KRGZrOdxa6UT47tDqH0v196vWyqnoisBR4TZKH0gWSz02yVatzJN3Pc85s5ncWFkn/NPKMjYyNFkXsYHx0L2MjY6NFETsYH2mRG+X4yNjI2GjR9HEGRjk+MjYyNpqXPppw07D0/lKfyYbTr7/QRhvcTTdS4Gmt/G66P2zD9DrgwKraBfgg8I4p6h0KnFlV99C1uXfkyoVVdVtV/YhulMdE/66vqs/PUbun40S6IPVxwI3A26eot7Gf3Q1V9bn2/J9Z3zfY8B/YOZduJNw5wGur6vs95f+bbvTCGVMcuij6NyR30y2XcAjwoEmjmwL8TZKrgU/SBS07tjq3JXk88Czgi1V12zy2ebrfWYDbgO8mOYRupMxdPfu2Aj6Q5Brg/9H9p46q+k9gzyQ70P2unNMzsmauTfc7O+EjdD+7fej+U9frNelGgH6ebqTknlX1A+BTwHPS3S9hq6q6Zhbbv4EBvrMTFnT/pGkwNjI2mnPGR7PO2MjYaE5jB+MjaVHGR8ZGiyhuMDaaE4stPjI2Wm/Bxw2LITbacgb9kXqtZcPp67uwkTVPk3wC2BG4HHgj3Rqpv5akgC2ASvInrXpNOnzi9Y9bIDUf+vXvZuCAqprInp8FfLyN2LiilZ1H90d1T+DCbpAG9we+CfxjqzNV/344mx2Yqaq6eeJ5kg8AH2vPP0g3auDbdKM3XgAsa3/IAjw06284OVXfYB7710YdnAOcUVW9U9ePAJ4D7F9V1coWXf8202Z/Z6vq5T27zgQ+Chw36ZCXAjsAT6yqnyVZDTyw7TuJbjTPLzB3I102+ztbVX/Wc9xZdGt6HzHp/K9r53ss3WCVH/fsOx34fbp/sI8cuCfTNJ3vbFX13hD3LLp+n1ZV97S/TyTZl24t9idX1V1JLmbDn91bgK/SBZ5zYnO/s4ulfxobxkbGRgs6djA+ug9jI2OjBR07GB9pRIxyfGRsZGy04Pu4GUY5PjI2MjaC+ehjVbm5zXijS9ZeB+xOFxh8CXhMz/7VwMOmOHY58P5JZf8JPJ1u/dQftfPeD/gE8IJW5wdD7t9jge8Av9zqHEU3KmHysX8DvHlS2TeBR9D9Mf428BDgQcDVdNNUlwBfnuef4QbvCezU8/x1dCOtJh/zLOATk8pOo5v2vYQuiHhyKz+J7maWG/19mIN+he4fsndNKn82cC2ww0aOXfD9m+Xf6Wl9Z9v+i9vvaoA/nqg78b0EjgH+oT3fr31WS9rr+wNfa++/xTz2b1rf2d7+A9sAb2rnuPc7Aryz5+d9JFA9x+5Id+PgS+f4Zzjj72zbdyrwwvb8lcAjJ/V5GfBvrezRdEHhvj3HX0m37ML2c9Svzf7OLob+uY3PNsjfWYyNjI3mvm/GR9P7nTY2mtR/jI2GEjsM8p1dLH10G49tkL+1LPD4aJC/sxgbDT1uGOTv7GLp4yz+Xo9EfDTId7a37xgbGRttoq0uKanNUt3U16PpgpqVwIer6itJXpNuzdtdgKuTnNTn8EPpRjn0Oof1068voxvVs5Iu4Jhcd85N0b8vAa8AzmnTSw8D/qTP4Ydw3zZ/lPU3DP0CXX+vpvsjfvns92DjknwI+G+6dcLXJDkK+Lt0Nyy9mu4fvdf1OXRTP7uvAa9KshLYnm7q8nx7Kt3P5hlJrmrbgXS/U9vQjSC7Ksn7+hy7GPq3WQb8zvaep6rq76vqO5N2nQEsbVPn/4Bu1MfEMT8FPt3ec05GGg74ne09z51V9bbW5l7vBQ5v53k0PaPSqhsxtJK5nQG2ud/ZDVTV+6tbY77Xx4Et2+/18XRT53t9GPhcVX134I70N8h3dgMLtH8aE8ZGxkY9FmLsYHw0ibGRsVFr60KNHYyPNBJGOT4yNjI2mlS2EPs4Y6McHxkbGRtNmOs+pmXopAWhTd/846p6zrDbMhfaFNelVXX0sNsy29LdsPJjVfWrQ27KnBj1/s2ldDe8vRJ4UVV9Y9jtmW1Jfg64BnhCVd0x7PbMtiQfA95ZVRcNuy1zYdT7p8XP2GjxGofYYRz6OBeMjRa3cYgdxqGPWtxGOT4yNlrcxqGPc2WU4yNjo8VvJn10hpskac4k2QtYBVw0agETQJLfphul9A+jFjQl2S7J14EfjWLQNOr9kyQtTMZGi9c4xA7j0EdJ0sIzyvGRsdHitjl9dIabJEmSJEmSJEmSNABnuEmSJEmSJEmSJEkDMOEmSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSAEy4SZIkSZIkSZIkSQMw4SZJkiRJkiRJkiQNwISbJEmSJEmSJEmSNAATbpIkSZIkSZIkSdIATLhJkiRJkiRJkiRJAzDhJkmSJEmSJEmSJA3AhJskSZIkSZIkSZI0ABNukiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSAEy4SZIkSZIkSZIkSQMw4SZJkiRJkiRJkiQNwISbJEmSJEmSJEmSNAATbpIkSZIkSZIkSdIATLhJkiRJkiRJkiRJAzDhJkmSJEmSJEmSJA3AhJskSZIkSZIkSZI0ABNukiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSAEy4SZIkSZIkSZIkSQMw4SZJkiRJkiRJkiQNwISbJEmSJEmSJEmSNAATbpIkSZIkSZIkSdIATLhJkiRJkiRJkiRJAzDhJkmSJEmSJEmSJA3AhJskSZIkSZIkSZI0ABNukiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSAEy4SZIkSZIkSZIkSQMw4SZJkiRJkiRJkiQNwISbJEmSJEmSJEmSNAATbpIkSZIkSZIkSdIATLhJkiRJkiRJkiRJAzDhJkmSJEmSJEmSJA3AhJskSZIkSZIkSZI0ABNukiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZspyRFJKskRk8pXJ1k9g/Msaec5dZabKEmSBEwdtwxLkn1be44bdlskSdLCNNX1kiSntvIlQ2nYCJnvz3KhxaTSbDPhJmmktH+0e7efJLk1yZVJTkpyQJItht1OSZKkCX3il7uT3J7k4nZRIsNu40w5oEiSpMWnJxa5J8kjN1Lv0z11j5jHJi46PTFR77Yuyc1Jzk9ywLDbKGn2bDnsBkjSHPnz9rgFsB3wGOAw4Cjg8iQvraqvD6txk6wFfgW4Y9gNkSRJQzURv2wF7AH8LvBbwFLg6AHP/VHg88CNA55HkiSNtnV014yPAt4yeWeSPYF9e+ppeu4A3tWePxB4LHAgcGCSY6rq3UNrmaRZ4x9FSSOpqo6bXJZkR+AfgBcBn0yytKpume+2TVZVPwO+Oux2SJKk4ZocvyR5KvAZ4I+SvL2qvjnAue/AwT2SJGnTbqYboHNkkj+rqnWT9r+8Pf4b3eAgTc/3+sR6RwKnAH+T5KSqumsoLZM0a1xSUtLYqKqbgUOAi4Fd6T9S6yFJ/jbJyiQ/SnJHkouSPGum75fkwUn+b5JvtaUtVyV50+RloVxySZIk9VNVn6MblBPgib37kjwxyQlJvtSWn/xxkm8keXuS7SefayP3nt0vyYok1yb5fot/vpzkrUke2Oc82yT5P63O95PcmeR/kpyV5ImtznHARHLw8ElLKB3R55yPa0sqfS/JXUn+M8lT+tT7xSR/luRzSW5K8tMk307yL0n26lP/3hirPT8zyXfaZ3V5kudM/elLkjTWPgD8ArDBv5VJtgKOAP4LuLbfgTONUdox2yR5R5I1rf5Xk7yeaVy7TvLKJNe0425ucc22Pfu3SHJDi1u2nuIc/9Bihhf2lB2c5J+TfD3JD9t2RZLXJJmta+qnAj8EHky3MlPvPdV+Kcmrk1zd4rOL2/77Jzk6yQVJrm/Xm25P8slsZHnKJL+d5LOtH7cn+dckj95Y45Lsk+TsnrjrhiTvT/KLfer+UvvsV7X23t5+Lu9L8tApzr9fuiXU72w/n/OT/Mq0Pz1pAXKGm6SxUlX3JPkruuUPDk3yuqoqgCSPoEvGLQE+C3ycLuh5DvDxJK+sqg9M8622Aj4B/CLw73RLLRwMHE+3dMCfT32oJEnSffxs0utX0I0q/0/gk3QXpJ4IvB44IMk+VXXnNM77JuDRdBfOzqeLU54KHAfsm+S3q+pugCShi4+eAvw3cBJdjLMLsB9d/HQFXTy1HXAM8CXgX3ve76pJ778UeGPP+XYDXgBclORxVfW1nrpPB44FPg2cA/wA2BN4IfC8JE+tqi/16eMjgC8A1wH/BDwEeAlwbuvfp6fxOUmSNE4+BLyDbjZb77/jzwMeThc/7DHFsTOKUZI8ALgI+A26uOEMujji/9Atrb0xfwf8Dt1su/+gi0de0dr2DICqujvJB+iuwxxKl0y8V5IHAb8P3ASc27PreOAe4FK6W4Fs2855QmvrYZto23RNDMquSeUnAL9JF59dANzdyh/S9v0XcCFwK7AT8FzggiSvqKqTNniDLpF4FvDT9ngj8DS6+Ovqvo1KXgasAH4CnAfcQBd3vRx4bpInVdW3Wt2dgMuAn29tPYcuptyd7nP6R+C2SW/xHGAZ3TWz9wF70S2x+RtJ9qqq70z1gUkLWlW5ubm5jcxGF6DUJuo8gO6iVQG795RfTBdMHTKp/nZ0F4d+BOzYU35EO8cRk+qvbuUXAA/qKX848L22bdVTvqTVP3XYn5+bm5ubm5vb/G9TxS90Caa76S507DRp3yOALfocc1Q735smlU8Vt/wSkD7n+ctW/yU9Zb/Wyj7ap/79gO17Xm80vqEb/FRTtOmVrfy9k8ofDmzT51yPpUu+/fuk8iU97/HWSft+ZyJeG/ZrBAFhAAAgAElEQVTP383Nzc3NbaFs7d/GNe35vQNrevZ/nG6J6p8D/mqKf8dnGqO8pZWfA9yvp3x34PZ+8QTdzLACvgXs1lO+Jd1y3AXs3VO+E911oMv7tGsiRvrrSeWP7FP3fsBprf4+0/xMJ+KR1X32vazt+wHt+lFP39bSc82q55gH9P5Mesq3Bb7cPrPea1Fb0yW7fgYsnXTMO3tipSU95b9Ml5xbBew86Zj96eLTj/aUvbqd45g+7XrwpPZMfN7rgP0n1f3btu+Nw/4uuLlt7uaSkpLGTlX9hPUja3YASPJYupFT51TVmZPqfw94K93onBfM4K1eU1U/6jnPLXSjpbYFHrXZHZAkSSMpyXFt++skZ9GNCg/wx1V1Y2/dqrq+2syzSU4Bvk+XUNqkqrquqiaPqIbuAgxTnOdHkwuq6p6q+u503nOSz1XVqZPKTqG7CLP3pPe4pfrM2qtuVtungP3aUleTXU93UbD3mE/QXaTbu099SZLUzQTbgi4pNLEq0DOBM2oj9xrbjBjlSLrBz2+sqnt6zvNN4N2baONfVJtl1Y5ZB3ywvdy7p/xGupl6T0xbArvHK9v7bzDzrar+Z/Kbtfad0F5OK9bqsV1PrHd8kguAk9u+t/ReP2r+rvrcv7eqflJVa/qU30H3GW9PNwNvwjK6WXH/UlWXTzrsOPrf4/d/0a3cdExVrZ30PhfRzXh7bpJtJh3XL0b8YZ++AZzZztVrRXs0PtOi5ZKSksbV5Cn7T26P26a778hkO7TH6a4lfUdVrepTfkN77LtuuSRJGmtvnfS6gKOq6oOTK7bE0ivp7k+7F92Ant4BlTtP5w2TPJhu6cffpRvNvA3r46TJ57mWbtb/oe2i27nAJXSjxX86nffrY/KFH6rqZ0lupk+8lOQg4A/plqJ8GPf9P+3D6JZJ6nXVFBf+bmB9DChJknpU1aVJrgFe1m7N8XK6WGOjt9qYSYzSEjZ7ADf0S3DRrUQ0OT7qdZ84gqmvu7yXbhnqVwLL2/v/GvAkulnyqyf146HAn9Atc/hLdDO1ek0r1uqxLev7cjfdTLR/B/6xqi7oU/8LU50oyWNa255ON3tv8n13e9v2hPb4n5PPU1V3JLmK+y7dOREf/VaS3+C+Hk6XjP1luuXEzwP+BnhPkt+hu8XK54BrpxjYBTP72UmLhgk3SWMnyQPpRvdAt9Y1wMQNXJ/Ztqn0vcFuH9+bonxde9ximueRJEljoqoC9ybBnkw36vl9Sa6vqk9Nqn4WXZLsOrrE1010S08CvJZuuaGNahfEPkU3ivjL7Zy3sv5+cW/tPU9190B5BvBndBes3tZ23ZnkNODNVfWDmfSZjcdMG8RLSY4B3gV8l+6eJd8C7qJLTB5Mt7Rkv35v7D1c9UWSpKl9gG6W2QF0M9GuqKovbuKYmcQo27bHm6c4102beK9+/8b3ve5SVZ9OspJu4NAb2qz55W33+3vrJtmO7p5ku9Mlvk6nS5CtY/19ajcZa01yfVUtmUH9vn1P8iS6+G1LunvfnUc3c/Ae4HF0M9oG/YwnrpH9ySbauDV0sxqT7E03Y+7ZwPPb/huS/H1V9ZupeJ+fXVWt624Z7DUzLV4m3CSNo6fR/f27uWcE08QU+mOmCAQkSZLmRVX9EPhkkucCVwKnJXnUxPJNSZbSXcj6JHBAWz6Jtu9+wBun+VbL6JJtp1bVkb07kuxEnxHlbdnI1wGvS7IH3YjoVwJH012AOmwmfZ2uJFvSXcS5CXjC5CU2kzhTTZKk2fdPdANs3kc3a+ovNlZ5M2KUiWsxO05xyl/YjDZvzPvoloR8aRss9Pt090r72KR6L6dLtv15VR3Xu6PFHMfMcrv6mWpm2J8CDwL2q6qLe3ckeTNdfNdrcz7jiWO2rarvb7qpUFUrgZe0mO2xwG/T3dvthCQ/rKqTN3oCaUQ4mk/SWGkB3v9uL/+lZ9fn2+Nvzm+LJEmS+quqq+lGlu9Cl+SasEd7PK/3QlazN91FmOmYOM9H+uybvLRQv/atahdPfgv4ARte4JlYwnG2Rig/jC6h9199km1bs365JEmSNEvaPe3PpotFfgh8aBOHzChGabPMVgE7J3lkn/PtO9M2b8JpdLPjlwMvoYstTu6z9PREP87pc45NxkhzbA/g9snJtqZf266cal+SbelmxU222dfIqmpdVV1RVW8DDm3FB8/0PNJiZcJN0thI8nDgTLqA7Vt060sD0G4c+1ng+UleNsXxv9bOIUmSNF/+im4Zpj9OMnE/i9Xtcd/eii1Oec8Mzj3VeX6J9ctF9pbv3vZNtj3d0kU/6in7Lt3I7N1m0J6NuYXuAtkTW4Jtok1b0Y1Uf9gsvY8kSdrQn9LNWvudliDbmNXtcd/ewk3EKB+ku0b9tjZIeuKY3YHXbEZ7p1RVd9ANvn48XYx1N/3vSbe6Pe7bW5jk8cCbZ7NNm2E18JAkv95bmOQo4Hf61D+XLi77vTYDsddxrF9ystc/0i0x/s4kvzx5Z5L7J/nNntdPbMm7ySZm1d3VvyvS6HFJSUkjKclx7en96EYsPYZuKcn7062//dKq+s6kw36Pbh3sk5O8BriUbk3pXYBfB36V7n4qt8x1+yVJkgCqam2S99EtXfRGuos8l9HdiP75Sf4LuITugsYBwNeAb0/z9P9GN6r89Ul+DfgiXYLsOcD53DdZ9ljgI0kuA1a299mBbmbbVvQk6arqB0kuBX4zyRnA1+kuap3XZu7NSFXdk+TdwLHANUnOpYvr9qO7N++n23NJkjSLqupbdIOWp2NzYpS3082AegFwZZJP0F3HeTHwGeB5A3Xgvt5Lt2TkzsC/VdWaPnVOp7t/2buS7Ad8A9iTLkb6CN3suGF5F11i7ZIkH6Zb/nEp3TWvs+nus3uvFpMtp7u33meTnAXc2Or/Kt1n/PRJx3y1DUY/BfhKko/TxXJb0cWHv0l3399Ht0MOA16Z5BLgf+gSfI8Enks3cOxds/kBSAuZM9wkjaq3tu1NdIm07egCpgOAJ1fVqskHtCDriXRLTt4NvJRuNNVT6ILLVwLXzEfjJUmSevwt3cjg1yTZsS179DzgROAX6eKVpwEn0V2A+dl0TtruFfcMupHej2nn+XXgL+nuaTLZ5cDxwDrg2cAb6GKrK4ADq+odk+ofRpe4ezZdXPaXDLb04/9p7/kjurjs+a1NezP9C4GSJGmObE6MUlU/obvf1zvpBvIcQ7f84V+x4ZLas9XGLwJXtZfvn6LOt+mSSufTtf9o4BHAH9EN/hmaqvo4XSLrWrrE31F0Sa396Nrb75iz6eKxK+gSmX8I3E43qPybUxzzz3TXyM6giw+PposP96BL7P1RT/UPAacCD2/nfy1dzHcmsLSq/nszuystOqma6v6LkiRJkqRRkOQP6S5+/V5Vber+K5IkSSMpyTZ0M+1uB3avqnuG3CRJI8QZbpIkSZI0+ibuv9Fv2SRJkqRx8b+ArYH3mmyTNNuc4SZJkiRJIyrJc4EDgSOA2+hGck9ryUlJkqRRkGRbukTbzsAr6Ga3Paqq7hxqwySNnC2H3QBJkiRJ0px5Ad29VD4DHGOyTZIkjaHt6e6J+xO6+5i92mSbpLngDDdJkiRJkiRJkiRpAN7DTZIkSZIkSZIkSRqAS0rOsoc97GG1ZMmSYTdDkiRthiuuuOI7VbXDsNsxaoyPJElanIyN5oaxkSRJi9OmYiMTbrNsyZIlXH755cNuhiRJ2gxJrh92G0aR8ZEkSYuTsdHcMDaSJGlx2lRs5JKSkiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSALYcdgMkSdLitOTY8/uWrz7+oHluiSRJ0uI3VWwFxleSJC1WXjsZLybcJEmSJEmSJEmStGgsxMFKLikpSZIkSZIkSZIkDcCEmyRJkiRJkiRJkjQAE26SJEmSJEmSJEnSAEy4SZIkSZIkSZIkSQMw4SZJkiRJkiRJkiQNYMthN0CSJEmSJEmSJEnjZcmx5/ctX338QfPcktlhwk2SJEmSJEkCkuwKnA7sCBSwoqpOSHIc8Arg1lb1LVV1QTvmzcBRwN3Aa6rqE/PecGnIRu2iuSRtDhNukiRJkiRJUmcd8IaqujLJNsAVSS5s+95ZVX/fWznJXsAhwGOAXwQ+meSXq+rueW21JEkaOhNukiRJkiRJElBVNwI3tud3JlkJ7LyRQ5YBZ1bVT4BvJlkF7A3895w3VpKkATk7dXbdb9gNkCRJkiRJkhaaJEuAxwOXtqKjk1yd5JQk27eynYEbeg5bQ58EXZLlSS5Pcvmtt946ebckSRoBJtwkSZLGWJIHJvlCki8l+UqSP2/luye5NMmqJGcluX8rf0B7vartXzLM9kuSJM2FJFsD5wCvrarvAycCjwQeRzcD7u0zOV9VraiqpVW1dIcddpj19kqSpOFzSUlJkqTx9hPgGVX1gyRbAZck+Xfg9XT3KTkzyfuAo+guNB0FfLeq9khyCPA24CXDarwkSYvFVEs2gcs2LTQtJjoHOKOqPgJQVTf37P8A8LH2ci2wa8/hu7QySZI0ZpzhJkmSNMaq84P2cqu2FfAM4OxWfhpwcHu+rL2m7d8/SeapuZIkSXOqxTUnAyur6h095Tv1VPtd4Mvt+XnAIW0VgN2BPYEvzFd7JUnSwuEMN0mSpDGXZAvgCmAP4D3A/wDfq6p1rUrvvUjuvU9JVa1LcgfwUOA7k865HFgOsNtuu811FyRJkmbLU4HDgGuSXNXK3gIcmuRxdAOTVgOvBKiqryT5MHAtsA54VVXdPe+tliRJQ2fCTZIkacy1i0KPS7Id8FHg0bNwzhXACoClS5fWoOeTJEmaD1V1CdBv9v4FGznmr4G/nrNGSZKkRcElJSVJkgRAVX0P+DTwZGC7JBODs3rvRXLvfUra/m2B2+a5qZIkSZIkSQuKCTdJkqQxlmSHNrONJA8CngmspEu8vbBVOxw4tz0/r72m7f9UVTmDTZIkSZIkjbWxS7gl2S7J2Um+mmRlkicneUiSC5N8oz1u3+omybuTrEpydZInDLv9kiRJs2wn4NNJrgYuAy6sqo8BbwJen2QV3T3aTm71TwYe2spfDxw7hDZLkiRJkiQtKON4D7cTgI9X1QuT3B/4Obqb315UVccnOZbuwtGbgAOAPdu2D3Bie5QkSRoJVXU18Pg+5dcBe/cp/zHwonlomiRJkiRJ0qIxVjPckmwLPJ02QruqftruVbIMOK1VOw04uD1fBpxenc/T3ctkp3lutiRJkiRJkiRJkhawcZvhtjtwK/DBJI8FrgCOAXasqhtbnZuAHdvznYEbeo5f08puRJIkSZIkSZIkSbNuybHnT7lv9fEHzWNLpm+sZrjRJRifAJxYVY8Hfsik+45UVQE1k5MmWZ7k8iSX33rrrbPWWEmSJEmSJEmSJC1845ZwWwOsqapL2+uz6RJwN08sFdkeb2n71wK79hy/SyvbQFWtqKqlVbV0hx12mLPGS5IkSZIkSZIkaeEZq4RbVd0E3JDkUa1of+Ba4Dzg8FZ2OHBue34e8AfpPAm4o2fpSUmSJEmSJEmSJGns7uEG8GrgjCT3B64DjqRLPH44yVHA9cCLW90LgAOBVcBdra4kSZIkSZIkSZJ0r7FLuFXVVcDSPrv271O3gFfNeaMkSZIkSZIkSZK0aI3VkpKSJEmSJEmSJEnSbDPhJkmSJEmSJEmSJA3AhJskSZIkSZIkSZI0ABNukiRJkiRJkiRJ0gBMuEmSJEmSJEmSJEkDMOEmSZIkSZIkAUl2TfLpJNcm+UqSY1r5Q5JcmOQb7XH7Vp4k706yKsnVSZ4w3B5IkqRhMeEmSZIkSZIkddYBb6iqvYAnAa9KshdwLHBRVe0JXNReAxwA7Nm25cCJ899kSZK0EJhwkyRJkiRJkoCqurGqrmzP7wRWAjsDy4DTWrXTgIPb82XA6dX5PLBdkp3mudmSJGkB2HLYDZAkSepnybHn9y1fffxB89wSSZIkjaMkS4DHA5cCO1bVjW3XTcCO7fnOwA09h61pZTciSdIc89rJwmLCTZIkSZIkSeqRZGvgHOC1VfX9JPfuq6pKUjM833K6JSfZbbfdZrOpkrRRUyVkwKSMNNtcUlKSJEmSJElqkmxFl2w7o6o+0opvnlgqsj3e0srXArv2HL5LK9tAVa2oqqVVtXSHHXaYu8ZLkqShcYabJEmSJEnSgJxBMBrSTWU7GVhZVe/o2XUecDhwfHs8t6f86CRnAvsAd/QsPSlJksaICTdJkiRJkiSp81TgMOCaJFe1srfQJdo+nOQo4HrgxW3fBcCBwCrgLuDI+W2uJEnD4z3kNmTCTZIkSZIkSQKq6hIgU+zev0/9Al41p42SpDnkDG1p9phwkyRJQ+EoKEmSJEmSJI0KE26SJEmSJEmb4AwASZo7DsiURtO4fbdNuEmSJEmSJEmSJI2YcUt4DZsJN0mSJEmSJElaxLyoLknDZ8JNkiT9f/buPV7Wsq7//+sNeCpNRJCIg9sSNbRA3aFmhy2oIWKoKUFlgCj1E8pTJVp9oZLCStE0KRQCCgW+ol8wTUUEz6iIiAJqqJuAkJMcNEQDP78/7mu5Z8+etQ9r9qw5vZ6Pxzxm5rrve+a67rVmzWfdn+sgSdKPOG2eJEmSJG26LcZdAUmSJEmSJEmSJGmaOcJNkqQZ5ZQikiRJkiRJ0vJwhJskSZIkSZIkSZI0BBNukiRJkiRJkiRJ0hBMuEmSJEmSJEmSJElDcA03SZIkSZIkSZKkCbPiqPcNLF993DOXuSbaGCbcJElza7GgBQxcND+S7AycBmwPFHBiVb0pyTbAmcAKYDVwQFXdmiTAm4B9gTuBQ6rqknHUXZIkSZIkjY4Jv01jwk2SJA1kUDU37gZeWVWXJHkA8Pkk5wGHAOdX1XFJjgKOAl4FPAPYtd2eAJzQ7iVJmmh2tpIkSdIouYabJEnSHKuq6xdGqFXVd4ArgR2B/YFT226nAs9uj/cHTqvORcDWSXZY5mpLkiRJkiRNFEe4SZJmlr2YpU2TZAXwWOAzwPZVdX3b9C26KSehS8Zd03PYta3seiRJGiNjP0mSJI2TCTdJ0lg5beH4eO7VK8n9gbOBl1XVHd1SbZ2qqiS1ia93OHA4wC677LI5qypJkiRJkjRx5nJKySRbJvlCkn9vzx+W5DNJrkpyZpJ7t/L7tOdXte0rxllvSZKkUUhyL7pk2+lV9e5WfMPCVJHt/sZWfh2wc8/hO7WytVTViVW1sqpWbrfddqOrvCRJkiRJ0gSY1xFuL6Vbn+Qn2vPXAcdX1RlJ/gk4DDih3d9aVQ9PcmDb7zfHUWFJkqRRSDeU7STgyqp6Q8+mc4GDgePa/Tk95UcmOQN4AnB7z9STkiRJUy3JycB+wI1V9ZhWdgzwYuCmtttrqur9bdur6a4f3QP8YVV9cNkrLWmiOeWxND/mLuGWZCfgmcCxwCvaRaa9gN9qu5wKHEOXcNu/PQZ4F/CWJKmqTZpSSZIkaYI9GXgB8KUkl7ay19Al2s5KchhwNXBA2/Z+YF/gKuBO4NDlra4kSaPhBVE1pwBvAU7rKz++qv6+tyDJbsCBwKOBnwI+nOQRVXXPclRUkiRNlrlLuAFvBP4EeEB7/mDgtqq6uz2/FtixPd4RuAagqu5Ocnvb/+blq64kaV550UfLoao+AWSRzXsP2L+AI0ZaKUmSpDGpqo9twpIi+wNnVNX3gW8muQrYE/j0iKonSZIm2Fyt4ZZkYUqAz2/m1z08ycVJLr7ppps2fIAkSZIkSZKmyZFJLktycpIHtbIfddRuejtxS5KkOTNXCTe6KZN+Pclq4Ay6qSTfBGydZGG0307Ade3xdcDOAG37A4Fb+l+0qk6sqpVVtXK77bYbbQskSZIkSZK0nE4AfgbYA7geeP2mvoCdtSVJmn1zlXCrqldX1U5VtYJuju2PVNVvAxcAz2u7HQyc0x6f257Ttn/E9dskSZIkSZLmR1XdUFX3VNUPgbfRTRsJPR21m95O3P2vYWdtSZJm3Dyu4TbIq4AzkrwW+AJwUis/CfjXNgf3t+mSdJKkTbDYOmSuQSZJkiRpGiTZoaqub0+fA3y5PT4XeEeSNwA/BewKfHYMVZQkSRNgbhNuVXUhcGF7/A3W9E7q3ecu4PnLWjFJ0sxYLNkIJhwlSZKkSZTkncAqYNsk1wJHA6uS7AEUsBr4PYCqujzJWcAVwN3AEVV1zzjqLWl2eW1Bmh5zm3CTJEmSJGnazPLsAV5Q1CSoqoMGFJ80oGxh/2OBY0dXI0mSNC3mag03SZIkSZIkSZIkaXNzhJskSZIkSdKEcwSgJEnSZDPhJsl/3KQpNctTSkmSJEmSJEnTxISbJEmSJEmSJGlk7DAqaR6YcJMkTSxHX0qSJEmSJEmaBluMuwKSJEmSJEmSJEnSNHOEmyRJi3CEnSRJmjVO6SVJkiaJ1140S0y4SZIkSZIkSZIWZYcNSdowp5SUJEmSJEmSJEmShuAIN0mSJEmStFEc4SBJ08m/35I0eo5wkyRJkiRJkiRJkobgCDdJksbEhYElaXTsxa1R8XdLkiRJ0iCOcJMkSZIkSZIkSZKG4Ag3SZIkSZIkSZKkPs5uoE1hwk2SJEmSJE08p+OWJEnSJDPhJkkTzp40kiRJkiRJkjTZXMNNkiRJkiRJkiRJGoIj3CRJkiRJkiQgycnAfsCNVfWYVrYNcCawAlgNHFBVtyYJ8CZgX+BO4JCqumQc9ZakeeXMUJokJtwkSZIkSdJm4UUvzYBTgLcAp/WUHQWcX1XHJTmqPX8V8Axg13Z7AnBCu5ckSXPIhJskSZIkbaJJTiosVjeYjPpJ0iSrqo8lWdFXvD+wqj0+FbiQLuG2P3BaVRVwUZKtk+xQVdcvT20lTYpJjg0lLR8TbpIkSZIkSdLitu9Jon0L2L493hG4pme/a1vZOgm3JIcDhwPssssuo6uppKljZylpdphwkyRJkqQp4kUZSRqfqqoktYTjTgROBFi5cuUmHy9J42LsKW08E26SJEmSJEnS4m5YmCoyyQ7Aja38OmDnnv12amWSpM3E6To1TbYYdwUkSZIkSZKkCXYucHB7fDBwTk/576bzROB212+TJGl+OcJNkiRJkqQJYS9uabySvBNYBWyb5FrgaOA44KwkhwFXAwe03d8P7AtcBdwJHLrsFZYkSRPDhJskSZKkuWNSQ5I0SFUdtMimvQfsW8ARo62RJEmaFibcJEmS5liSk4H9gBur6jGtbBvgTGAFsBo4oKpuTRLgTXQ9ue8EDqmqS8ZRb0nSaJiMliRJ82TY2MfYSb1MuEkTYLE/zOAfZ0nSyJ0CvAU4rafsKOD8qjouyVHt+auAZwC7ttsTgBPavaRNYOwnSZIkSbPHhJtmhr0JpPGY58+eF0w1C6rqY0lW9BXvT7d2CcCpwIV0Cbf9gdPa9EkXJdk6yQ5Vdf3y1FaSpt88x05g+yVJkjS75irhlmRnut7b2wMFnFhVb3LaJEmSpLVs35NE+xZd7ASwI3BNz37XtjITbpKWjdP+SJIkSZpEW4y7AsvsbuCVVbUb8ETgiCS7sWbapF2B89tzWHvapMPppk2SJEmaG200W23qcUkOT3JxkotvuummEdRMkiRJkiRpcszVCLfWU/v69vg7Sa6k65XttEmSZtYs9+J2SkdpZG5YiHmS7ADc2MqvA3bu2W+nVraOqjoROBFg5cqVm5ywk+bZqL/f/P6cbbMc+0mStFR+P0paDvM2wu1H2loljwU+w6ZPmyRJkjTLzgUObo8PBs7pKf/ddJ4I3G5HJEmSJEmSpDkb4bYgyf2Bs4GXVdUd3VJtnaqqJJvUCzvJ4XRTTrLLLrtszqpKkiSNVJJ30o303zbJtcDRwHHAWUkOA64GDmi7v59ubdur6Na3PXTZKyxJkiRJkjSB5i7hluRedMm206vq3a14qGmTnDJJkiRNq6o6aJFNew/Yt4AjRlsjaeM4LZAkSZIkaZLMVcIt3VC2k4Arq+oNPZsWpk06jnWnTToyyRnAE3DaJGksvKC2fp4fSZK0nFwDTpIkaXIYm0mTY64SbsCTgRcAX0pyaSt7DU6bJEmSJEmSJEmSpCWaq4RbVX0CyCKbnTZJkiRJkjQUZx+QJEmS5tNcJdwkSZIkTQeTFpIkSZKkaWLCTZoBztUsSZIkSZI0Pl6bkSSZcJMkSZIkzQxHR0qSlsKEmSRpWCbcJEmSJK3DpIWWatovWPq7L0mStPGmPfaTNicTbpIkSZKkZeNFGUnTKslq4DvAPcDdVbUyyTbAmcAKYDVwQFXdOq46SpKk8THhJkmSJEmSJG2cp1TVzT3PjwLOr6rjkhzVnr9qPFWTtFSOcJe0OZhwkyRJkqQ+XnSRJG2k/YFV7fGpwIWYcJMkaS6ZcJOkEfOCnSRJkiTNhAI+lKSAf66qE4Htq+r6tv1bwPZjq500x0Z97cVrO5I2hgk3SZIkSZIkacN+qaquS/IQ4LwkX+ndWFXVknHrSHI4cDjALrvsMvqaSpKkZWfCTZKGNO29nKa9/pI0r/z7LUnS8qqq69r9jUneA+wJ3JBkh6q6PskOwI2LHHsicCLAypUrByblJC3O2FfSNNhi3BWQJEmSJEmSJlmSH0/ygIXHwNOBLwPnAge33Q4GzhlPDSVJ0rg5wk2SJEnSsrOXsiRpymwPvCcJdNfT3lFVH0jyOeCsJIcBVwMHjLGOkiRpjEy4SZp6037BbtrrL0mSJEmzrqq+Aew+oPwWYO/lr5EkSZo0JtwkSZIkSRPDzkiSJC0/v38laXiu4SZJkiRJkiRJkiQNwRFu0jKxp5AkSZIkSZIkSbPJhJskbYDJUkmSJEmSxmux/83B/88lSZPBhJs0BwxKJUnScrPDiiRJkiRpnphwkzTzvOAnSZIkSZImmdcuJGn6mXCTNPcMauYDbMsAACAASURBVNfP8yNJkiRJkiRJ62fCTRPDi/rzyykvJUna/IytJEmSJElaPibcJI2cCTVJkiRJkiRJ0iwz4aa5YS9vSZIkSZIkSZI0CibctGymPeE17fWXJEmSJEmSJEmjYcJN0gY5JaQkSZIkSRolrz1IkqadCTdJkiRJkiRJQzFhJkmadybctNGcUlGSJGnzMbaabf58JUmSJGm+mHCTJEmSRmDYXt4mbCRJkiRJmh4m3CRJkjSXnPZoOCYEJUmaPX6/S5K0dFuMuwKSJEmSJEmSJEnSNHOE20ZIsg/wJmBL4O1VddyYq6QRsBfX0jlCQJLmi7GRJEnSGpMUG3ltQ5Kk8THhtgFJtgT+EXgacC3wuSTnVtUV463Z5jdsUGZQJ0nS7Juk2MgOH5IkadwmKTaad8aGkqRxM+G2YXsCV1XVNwCSnAHsD0zMRSWDhtln0ChJmiATExuNm9/PkiQJYyNJktSkqsZdh4mW5HnAPlX1ovb8BcATqurInn0OBw5vTx8JfHXZKzp9tgVuHnclRmiW2zfLbYPZb9+wZv38zHL7ZrltsPna99Cq2m4zvM7M2pjYqJUbH20aP6PTbZbbN8tt2xxm/fzYvullbLRMjI1Gys/o9LJ982vWz43tm26bo33rjY0c4bYZVNWJwInjrsc0SXJxVa0cdz1GZZbbN8ttg9lv37Bm/fzMcvtmuW0w++2bRsZHm2bWf4dt3/Sa5bZtDrN+fmzf9Jrltk0rY6NNN8u/x7PcNrB982zWz43tm27L0b4tRvniM+I6YOee5zu1MkmSpHlkbCRJkrSGsZEkSQJMuG2MzwG7JnlYknsDBwLnjrlOkiRJ42JsJEmStIaxkSRJApxScoOq6u4kRwIfBLYETq6qy8dcrVkw69MozHL7ZrltMPvtG9asn59Zbt8stw1mv30Tw9hoZGb9d9j2Ta9ZbtvmMOvnx/ZNr1lu20QxNhqpWf49nuW2ge2bZ7N+bmzfdBt5+1JVo34PSZIkSZIkSZIkaWY5paQkSZIkSZIkSZI0BBNukiRJkiRJkiRJ0hBMuGnJkuyT5KtJrkpyVCs7sj2vJNtu4Phnt/0etTw13jSLtG/vJJckuTTJJ5I8fD3HvyzJXUkeuHy13jhJTk5yY5Iv95Qdk+S61rZLk+y7nuP3aD+7fZanxhsvyc5JLkhyRZLLk7y0lf9dkq8kuSzJe5JsvZ7XmNj2DWOYz2ySC5P8V5L0lP2/JN9djrpvjGE+s0lWJ/l4X9mlvZ+RcRrmM5vklCR3JnlAT9kbN+bv9HIY9jM76e3TfDE2Mjaa1NjB+GgwYyNjo56yiYodjI80S2Y5PjI2Mjaa5DYu1SzHR8ZGxkbL0UYTblqSJFsC/wg8A9gNOCjJbsAngacCV2/EyxwEfKLdL+X9R2Y97TsB+O2q2gN4B/Bn63mZg4DPAc/dxPdOklF/Nk8BBgUEx1fVHu32/vUcP7E/O+Bu4JVVtRvwROCI9rM7D3hMVf088DXg1et5jUlu35Jsps/sbcCT2+ttDewwmtpuus30mX1Akp3b6/3siKu8qU5huM/sVcD+AO3vy17AdZu9lkuzOT6zk9w+zQljI2MjJvRn1xgf9TE2MjZismMH4yPNhFmOj4yNjI2Y/DZuslmOj4yNjI1YpjaacNNS7QlcVVXfqKofAGcA+1fVF6pq9YYOTnJ/4JeAw4ADe8pXJflYkve1Hgf/tBBEJPluktcn+SLwpFE0qsfA9gEF/ETb54HAfw86OMnPAPen+yN9UE/5IUnOSdfj4z+THN3KV7T2ngZ8Gdh5VA0DqKqPAd9eyrFJAjwfOAR4WpL7tvIVrUfB6UmuTPKuJD/Wtq1O8rokl7RjR6aqrq+qS9rj7wBXAjtW1Yeq6u6220XATtPYviEM9ZltzmDN5/W5wLsXNiS5f5Lz0/UK+lKShS+wv0zysp79jk3rhbKZDfWZbc4CfrM9Pgh458KG9vP/eGvfJUl+sZWfluTZPfudvtD2zWmYz2xzBmvatoouWF74PCz0OPt8ul5Ch7eyFyZ5Y88+L05y/BB1GGjYz2wzse3TXDE2MjY6hAmNHYyPBjI2Mjaa2NjB+EgzZJbjI2OjRUxD3GBstKhZjo+MjdZvouOGaYqNTLhpqXYErul5fm0r21j7Ax+oqq8BtyR5fM+2PYE/oOtt8DOs6enz48Bnqmr3qvrEkmu+cRZr34uA9ye5FngBcNwixx9I9yH+OPDIJNv3bNsT+A3g54HnJ1nZyncF3lpVj66qjekxMgpHphuCe3KSBy2yzy8C36yqrwMXAs/s2fZIujb8LHAH8JKebbdU1eOq6oxRVHyQJCuAxwKf6dv0QuA/Fjlsatq3iYb9zAKcD/xKul5BBwJn9my7C3hOVT0OeArw+haAngz8Lvyo98iBwL8tqQXrN+xnFuBs1vy9eRbw3p5tNwJPa+37TeAfWvlJdAE26aYB+UXgfcM0ZBNtzGcWul4+27V9DqL7+9TrhVX1eGAl8IdJHkwXSD4ryb3aPofS/TxHZomfWZiS9mnmGRsZG01F7GB89CPGRsZGUxE7GB9pys1yfGRsZGw0NW3cBLMcHxkbGRstSxtNuGlcen+pz2Dt4defbb0N7qHrKfBLrfweuj9s4/RyYN+q2gn4F+ANi+x3EHBGVf2Qrs69PVfOq6pbqup7dL08Ftp3dVVdNKJ6b4wT6ILUPYDrgdcvst/6fnbXVNUn2+N/Y03bYO0v2JFL1xPubOBlVXVHT/mf0vVeOH2RQ6eifWNyD910CQcC9+vr3RTgr5NcBnyYLmjZvu1zS5LHAk8HvlBVtyxjnTf2MwtwC3BrkgPpesrc2bPtXsDbknwJ+L90/9RRVR8Fdk2yHd3vytk9PWtGbWM/swveTfezewLdP3W9/jBdD9CL6HpK7lpV3wU+AuyXbr2Ee1XVlzZj/dcyxGd2wUS3T9oIxkbGRiNnfLTZGRsZG400djA+kqYyPjI2mqK4wdhoJKYtPjI2WmPi44ZpiI222oT2SL2uY+3h6zuxnjlPk3wQ2B64GPgTujlSfy5JAVsCleSP2+7Vd/jC87taILUcBrXvBuAZVbWQPT8T+EDrsfH5VnYu3R/VXYHzuk4a3Bv4JvCWts9i7fufzdmATVVVNyw8TvI24N/b43+h6zXw33S9N34D2L/9IQvw4KxZcHKxtsEytq/1OjgbOL2qeoeuHwLsB+xdVdXKpq59S7Tkz2xVvahn0xnAe4Bj+g75bWA74PFV9b9JVgP3bdveTteb5ycZXU+XJX9mq+r/9Bx3Jt2c3of0vf7L2+vtTtdZ5a6ebacBv0P3hX3o0C3ZSBvzma2q3gVxz6Rr96lV9cP294kkq+jmYn9SVd2Z5ELW/tm9BvgKXeA5Ekv9zE5L+zQ3jI2MjSY6djA+WoexkbHRRMcOxkeaEbMcHxkbGRtNfBuXYJbjI2MjYyNYjjZWlTdvm3yjS9Z+A3gYXWDwReDRPdtXA9sucuzhwD/3lX0U+BW6+VO/1153C+CDwG+0fb475vbtDtwMPKLtcxhdr4T+Y/8aeHVf2TeBh9L9Mf5vYBvgfsBldMNUVwBfXuaf4VrvCezQ8/jldD2t+o95OvDBvrJT6YZ9r6ALIp7Uyt9Ot5jlen8fRtCu0H2RvbGvfB/gCmC79Rw78e3bzL/TG/WZbdsvbL+rAf5oYd+FzyXwUuDN7fFT2rla0Z7fG/hqe/8tl7F9G/WZ7W0/8ADgVe01fvQZAY7v+XkfClTPsdvTLRz8mRH/DDf5M9u2nQI8rz3+PeBn+tq8P/DeVvYouqBwVc/xl9BNu/CgEbVryZ/ZaWift/m5DfN3FmMjY6PRt834aON+p42N+tqPsdFYYodhPrPT0kZv83Eb5m8tEx4fDfN3FmOjsccNw/ydnZY2bsbf65mIj4b5zPa2HWMjY6MN1NUpJbUk1Q19PZIuqLkSOKuqLk/yh+nmvN0JuCzJ2wccfhBdL4deZ7Nm+PXn6Hr1XEkXcPTvO3KLtO+LwIuBs9vw0hcAfzzg8ANZt87vYc2CoZ+la+9ldH/EL978LVi/JO8EPk03T/i1SQ4D/jbdgqWX0X3pvXzAoRv62X0VOCLJlcCD6IYuL7cn0/1s9kpyabvtS/c79QC6HmSXJvmnAcdOQ/uWZMjPbO/rVFX9fVXd3LfpdGBlGzr/u3S9PhaO+QFwQXvPkfQ0HPIz2/s636mq17U693orcHB7nUfR0yutuh5DVzLaEWBL/cyupar+ubo55nt9ANiq/V4fRzd0vtdZwCer6tahGzLYMJ/ZtUxo+zQnjI2MjXpMYuxgfNTH2MjYqNV1UmMH4yPNhFmOj4yNjI36yiaxjZtsluMjYyNjowWjbmNahk6aCG345h9V1X7jrssotCGuK6vqyHHXZXNLt2Dlv1fVY8ZclZGY9faNUroFby8Bnl9V/znu+mxuSX4M+BLwuKq6fdz12dyS/DtwfFWdP+66jMKst0/Tz9hoes1D7DAPbRwFY6PpNg+xwzy0UdNtluMjY6PpNg9tHJVZjo+MjabfprTREW6SpJFJshtwFXD+rAVMAEmeStdL6c2zFjQl2TrJ14DvzWLQNOvtkyRNJmOj6TUPscM8tFGSNHlmOT4yNppuS2mjI9wkSZIkSZIkSZKkITjCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJmgJJKsmFy/h+Fyap5Xo/SZKkSZfkmBaTrRp3XSRJmheLff8u93WSWbLcMU2SVe39jlmO95PGyYSbpPXq+VK8cD37rGj7rO4rX+8XeJJT2vYVm7HKS9JT197b95J8Lck/Jtlp3HWUJEmTK8njW/zwmUW2H9QTYzxswPb7JbkryZ1J7jPiui6pY02SQwbES5XkO0kuSfKaJD82ijpLkqTxSvKnPd/9jxx3fSbdgHjpniQ3J/lIkt8ad/0kjcZW466AJE2YjwIXtsfbAk8HXgIckOSJVfX1cVVMkiRNtC8AtwKPT/ITVXVH3/a9gQIC7AWc1Lf9ycB9gPOq6vujruyQvgj8v/Z4C+AngWcBxwL7JHlKVd0zrspJkqTNK0mAF7Emlnkx8EdjrdT0+It2fy/gUcD+wFOSrKyqV4yvWpJGwYSbJK3twqo6ZuFJknsB/0F3kezPgEPHVC9JkjTBquqHbUaA5wC/Cry3b5e96Dr1/DyDE257tfvzR1fLzebS3ngJIMnWwGXAL7fbhctfLUmSNCJPB1YApwD7AAcneU1V/WCclZoGA2KmvYHzgJcl+YeqWj2OekkaDaeUlDQSbXrJo9vTC3qH0bftBRzctn+zZ/vqntd4fJI3Jflikm+3aZb+M8nrkzxowHsuTHN0SJJ92nRJtw+zFllV/S9wYnu6Z897VXv9n0zy9iTXtekBDmnbH5HkuCQXJ7kpyfeTXJ3kxMWmp0xy7yR/nuTrbf9vJnnt+qaVSrJVkpckuSjJHW0aqi8kOTLJOn/jk/x6kvOTXN/e47+TfDTJS9bz+q9p5/37Sa5J8rok996E0yhJ0rxYSJbt1VvYps9+WNv+UeApA45dJ+G2ub/n06YBp0sI9k91dOEwDa+q24DPtafbDajbNkn+JsmV6abtvr3V9ekD9u2N6Z7SYq7vtHPwviQ/O6gOLf46O8mtSf4nyaeSPLP39fr2f0qLza5or/29JF9OcnSS+w5zPiRJmjEvbvdvA06nmxHoOYN2TM/yIkmel+SzLYb5dpIzkuy4yHGPT/KBnu/8Dyd50oYqlmTb9n2+EP9cnmSdztLpWUcsyZ4tpvh2epY6WY7YoKrOB75CN1LwF9r79p6z30rymSTfzdrXyA5pcc43Wr3uSPLJJL+znnOzyec0yaPSLQFzTZIfJLkhyTsyYBrRJNsn+fskX22x123t8SlJfnqR19+jnfvb2u/FR5P84sadPWnyOcJN0qi8EXg23QWdU4HVfdv/om3fHXgTcFsrv61nnxfTBXAfBT5M10ng8cArgGckeUJVfWfAez+PrsfVfwD/BDx0yLak3fcn7rYBLgK+C7wb+CFwQ9v2XOD3gQuATwE/AB5NNwXDs9JNHXDdj94gCXAW3dQCXwfeAtwbeCHwcwMr1Y2+ey/wa8BXgXcAd9FdxHsz8ATgBT37Hw78M/CtdtzNwEPoetofCrx1wNu8g66X+n8AdwD7An/SjnO0nyRJa/tIu9+7r3zvnu23A89NsltVXQGQ5CeAlXRTUl7SykbxPX8bXQx2CF18tDDFEawbq22SJA+ku2j0Q7rpNXu3PZRuxNsK4OPAB4AfB/YDPpDk96rqbQNedj+62GghptuNLhb5hXb+bu55j0fRxVwPAt5HN9rup4H3AO9fpNqvopva6VPtmPvSTe15DLAqyVOdGlOSNO+SbA/8OvC1qvpUkjuAVwKHA2eu59CXtOPOpbuu8wTgN4Hdk+zRO4V2S7h8mO46yLuBq4A96OKHj7C4rYFP0l1zeRfd9NzPB05O8sOqOnXAMU8CXg18AjiZLnm4MFJvuWKDxa4zvRJ4Gl0sdwHwwJ5tJwCXAx8DrgceTBcX/WuSR1bVn6/1Bks4p0n2afsuxKFXATvRXeN6Zrppwxdi1R+jO/c/Qzdi772tXQ+li9/eBXyj7y1W0l1T+jTwdmAX4DeA89vvxFcH1UuaKlXlzZs3b4vegFV0AcCF69lnRdtndV/5Ma181SLHndK2r1hk+0OBLQeUH9aOe1Vf+SGt/IfAPpvYzoW6HtNXvhVdT/MCTuopr3Y7DdhqwOvtCNxnQPnTgXuAE/rKf6u93qeB+/aUb0OXgFvnZ9BT5zf3nidgS7ppqgrYv6f888D3gYcMqNe2fc8vbMd/Htimp/zH6QKue4CfHPfvpzdv3rx58zZpN+C/WyyyXU/Z6cB3Wlzx6PYde2TP9me1snf3lI38e34JbVuItS5t9TsG+Eu6RN91dJ2Qjhhw3IXtnBzYV751e63vAdsPeJ+7gb37jvmbtu1P+soX4rX/r6/8GT1x2yF9234ayID6/lXb/zf7yhd+JqvG/XvmzZs3b968LdcNOKp9/726p+zi9t3+8AH7L3xf3gH8XN+2d7RtB/SUhW7E11qxTdv20p7v8VV92xbK394XK+3WYogr+vZf1XPM7y3S1k2KDTZw3mpQvAU8tZ27HwIP7Ttn/wM8dpHX+5kBZfduMdD/AjsOc07pOi3dStdpa7e+Yx5DF+dd0lO2EL8ev0i9HrDIuT+kb9/fa+VvHffvujdvm+PmlJKSJlZVXV2Dew6dTBe4/doih55TVR9Y4tuuakP5j0nyZuAKuimebgaO7dv3B8AfVdXdA+p+XfX01uop/xBdj6T+ui+MFntNVd3Vs/+36QK7taSbRuoP6Hqxv7z3PLXHr6QLWH6779C76QKx/nrd3F/WvKrVYWG//6G7aLgFXc8kSZK0tvPpLnL0Thv5FODjVXV3VV0O3Mja006uNZ3kMn7PL9XudFOHHw38OV0P95+i68G+Vo/pJLvTzXhwdlWd0Vev29pr3Jeud3O/M6qbdqnXoKm+d6Y7h1fRJf963+M/6Hp3r6OqvlFVg6YeP77dLxZrSpI0F9psPC+iSw6d1rPpFLp458UDDlvwD1X1pb6yhRHte/aU/SLwSOBjVXVO3/5voeuEvJg7gVf0xUpX0I28+tkk9x9wzKVV9c8DykcSG/RcYzo2ybvoRvoHeGNVXd23+4lV9YV1XwWqap3zUN0aev9I16mrd4aFpZzT36XrDHV0O4e97/Nlup/dY5Ps1nfc9wbVqwbPSPXJqjqlr+xkuhh2z3V3l6aPU0pKmlhtKqXfAw6k66H0QNZee3LgvN/AZ4d4219tN+gSatfQTWH011V1Td++q6vqxkEv0oLS36brob07XU+hLXt26V9Y+HF0AewnBrzchQPKHkE3+u0/gT/r3m4d3wN61zg5HXg9cEWSM+imdPhkVd006ODm4gFlC+dhnXX0JEkSHwF+hy4BdFa69cZ2YM2FGui+25+WZIuq+iHrrt+2XN/zS3VqVR2y8KRNNfVUumnC90uyqtp0Q3TTNgE8MMkxA15rYb23QeuybWwcske7/3Q7n/0+0eq3liQ/TtfL+zl05/wBrJniCRaPNSVJmhd70U0Z+MHqWRaDbqTa64FDkvxZVa3T4YeN/x5/XLv/aP/OVXVPkk+0Ogzyn1V1xwbe57t92xa9ZjSi2ODodl9003t/nG4GpX8bsO/66rYL3ZSXe9NNxXi/vl1667aUc7oQs+2+SMz2iHb/s3Sd0z9KN8PBUUkeRzeF9yfpEpqLTbu5zu9EVf1vkhvwGpNmhAk3SRuycNFifSNiF7YNusAxjDPpgpxvAOfQ9fJeGDX2Mrq5uQf51hDv+RdVdcxG7ru+93kDXR2vBz5IF4Qs9Po5hHXXlXsg8O1FgtRB7/Pgdr8ra4K3QX7Um6uq3pDkZrp51P+w1a+SfBT446oaFPjc1l9G1/MI1k4gSpKkzkLSbO+++96RXxcCB9D1Ev4vuvVar6uqr7Tty/I9v7lU1Q3A6UnuR9f7+W9Y0wN8oS1Pa7fFDOqBvk4cUlV3twRkbxyysL7JDf37L1beOnZ9hK439Zfp4s6bWDNC8GgWjzUlSZoXh7f7U3oLq+rbSd5LN0J9Yb2ufht7PWFD3+Pru/Yy6D0We5/1vt6oYoOqGthzahGL1e2n6ZJxD6JL2H2Ibl3ge+iWeTm4r25LOacLMdv6Ri1Ci9mq6o4kT6RbE/jXWRP73ZzkrcBrB1zjWt/Py2tMmgkm3CRtyO3t/sHr2Wfbdr/YF+cmS7KSLtn2YeAZvdM2tmmW/mQ9hw8a/j8KA98nyUPoLnR9GfjF/mH0SQ4acNjtwDZJ7jUgIPnJRfYHeE9VPXejK1x1GnBakq3pphh4DvBC4INJHjWiXvCSJM2NqvqvJF8HHt4z1eFtQO/0QBe0+72Aq+l6TvdOnTit3/Ofafe9UwIttOWlVfUPI3rfhZ7t2y+yfVD5/nT1PKWqDu3dkGQH1p/olCRp5iXZDnh2e/rOJO9cZNfDGZxw21gLscJi3+ODrokMY7FrRpMQGyxWt1fQXZc7tH9KxnaN6eC+/ZdyTheO2b2qLttwVaGqrgUOa7M87UYX2x4B/B+6zvl/vjGvI80S13CTtCFfpRtV9ogkiyXdFoadf7GvfGEI+WK9VNa3/eHt/twBa6TtybpD5yfJT9P9ff3QgGTbTm17v0vaMb80YNuqAWVfobt498TWC2uTVNVtVfX+qnoxXU+1bYBf2dTXkSRJAy0kz55K9z3+0d6pDttItm/RXZTon04SRv89fw9Aks3dk3hhKqDe/zMvave/vJnfq9el7f5JrWNWv0Hx1UKs+e4B2351QJkkSfPmYODewOeBkxa53QQ8NcnDhnifhWmo1/n+bbHKoO/xUZjk2GChbmcP2Daobks5p0uO2apzeVW9mTUzGjx7fcdIs8qEm6T1qqq7gDPoRsT+XfoWEWkJpD9uT0/pO/yWdr/LIi+/vu2r2/2qvvd7CN2CsJNsdbv/pd4LWW2x3rcxeHTxv7T7Y5Pct+eYbYA/69+5JSHfTLcmzD+0KZzWkmSH3sVskzyl/+fXPKTd37m+RkmSpI22MH3ky+mSUBcM2OcCugsaT2/Pf5RwW4bv+Q3FaJusxTwvbU8vXChvU1l+HHhukhcucuzPtRhvSarqv9p7Ppxu/d/e196HAeu3sXis+dPA65ZaF0mSZsjC1IIvqaoXDboB/0w3Uv9FQ7zPp+g6e/9Kkv37th3J4uu3bW6r2/2q3sIJiQ1Wt/tVvYVJfo3B534p5/Rf6Dp8HZ1kz/6NSbZIsqrn+aPbOr79Fsq8xqS55JSSkjbGK4FfAA6l6zl8Ht3UPQ+lG3L/AOB1VdW/GOsFdOu6/U2SxwC3AlTVa9v28+mSdW9LcjbwHeC2qnoL8Dm6xVafm+RTdIvdbw88gy5o+O8RtXVoVfWtJGcABwKXJvkQ3fzZTwPuouuFvUffYe8EfpNu3usvJzkHuBfwPLpzMSgY+itgd+D3gWcl+QjdWnEPoVvz5cnAn9ItZgvwHuC7SS6iC9ZCd6HvF+h6rH142LZLkiSgS7gV3dpsC8/7XQAcBDwM+GpVXde3fZTf8+cDzwfeneT9dOvMXl1VuGmNgQAAIABJREFU/7qR7dsjyTE9zx9CN1LvkcDNrDv192/RnYOTkvwh3dSTtwE7AT8PPIZuxoQbN/L9BzmCLnZ8a5J9gcvoZhX4Dbq1gPdn7fWG3wtcBbwiyc/RTfm5C7Af8D42YzJSkqRp0xIrjwC+VFWfXc+uJ9HFI4cmOXrADEUbVFWV5DDgPODsJO+m+47eg24t3A8A+2zq6y7BJMcGb6W7Jvd/k7yL7prYY+jOy1l015N+ZCnntKpuSfI8upjyoiTnA5fTxbQ708VqDwYWOok/ja5j/qeBr9HFcTuxJub6u815AqRpYcJN0ga1L90n0K1L9hzgELopHW8BPgqcUFXvH3DclUkOBv4IeAlrvpRf27Z/MMkr6XpNvYxuqoKrgbdU1T1Jfr3tu2977+uAt7eyK5hshwHfoAt6jqCbZuFcunms15kCoAVDzweOoju/RwLX0/Uw+ku6RF3/Mf+b5NnA77Rj9qNbvPYm4Jt0c2Wf3nPIUXSL2D6O7pzeRXe+X0X3M+xfO06SJC1BVd2U5Et0yaSb6dZ17dc76u38/o0j/p5/O13HqQPpkmNb0cV0G5tw273dFtxFl+R7E/C3VbVWx6iqujbJ44E/oEuA/TbdlOLfoovp3gx8aSPfe6CquiLJk4C/Zs1UnZfRxa4/S3fx546e/f8nyV7AcXS9xX+ZLnb7K+AN9F24kiRpziyMbnv7+naqqtVJPkyXfHkWXbJmk1XVJ5P8MnAsXUdr6DrorKKLb0aecJvk2KCqLkvyFLrrYc+ki92+CDyXrhPTOnVbyjmtqvOT/DzddbxfozsHP6BL8H2Eta9nfZAuCfkrdHHWT9BdxzoPeENVfWqoRktTKlWLrcUoSZIkSdJ0S3I63Si7R1XVV8ddH0mSJEmzyTXcJEmSJElTra0r8pMDyvem6/V9hck2SZIkSaPklJKSJEmSpGl3b+CaJBcAXwHuBh5NN8XVD+im+JYkSZKkkXFKSUmSJEnSVEuyJfBGurXbdgJ+jG79vI8Bx1XVF8ZYPUmSJElzwISbJEmSJEmSJEmSNASnlNzMtt1221qxYsW4qyFJkpbg85///M1Vtd246zFrjI8kSZpOxkajYWwkSdJ02lBsZMJtM1uxYgUXX3zxuKshSZKWIMnV467DLDI+kiRpOhkbjYaxkSRJ02lDsdEWy1URSZIkTZ4k903y2SRfTHJ5kr9o5Q9L8pkkVyU5M8m9W/l92vOr2vYV46y/JEmSJEnSJDDhJkmSNN++D+xVVbsDewD7JHki8Drg+Kp6OHArcFjb/zDg1lZ+fNtPkiRJkiRprplwkyRJmmPV+W57eq92K2Av4F2t/FTg2e3x/u05bfveSbJM1ZUkSRqpJCcnuTHJl3vK/i7JV5JcluQ9Sbbu2fbqNvL/q0l+bTy1liRJk8CEmyRJ0pxLsmWSS4EbgfOArwO3VdXdbZdrgR3b4x2BawDa9tuBBy9vjSVJkkbmFGCfvrLzgMdU1c8DXwNeDZBkN+BA4NHtmLcm2XL5qipJkiaJCTdJkqQ5V1X3VNUewE7AnsCjhn3NJIcnuTjJxTfddNPQdZQkSVoOVfUx4Nt9ZR/q6Yh0EV3MBN3I/zOq6vtV9U3gKrpYSpIkzaGtxl0BSZI0m1Yc9b6B5auPe+Yy10Qbq6puS3IB8CRg6yRbtYtLOwHXtd2uA3YGrk2yFfBA4JYBr3UicCLAypUraznqL0nzwO9XaexeCJzZHu9Il4Bb0DsrwFqSHA4cDrDLLruMsn6SNFUWi23A+EbTxxFukiRJcyzJdgvrkCS5H/A04ErgAuB5bbeDgXPa43Pbc9r2j1SVCTVJkjTzkvwpcDdw+qYeW1UnVtXKqlq53Xbbbf7KSZKksXOEmyRJ0nzbATi1rTeyBXBWVf17kiuAM5K8FvgCcFLb/yTgX5NcRTfd0oHjqLQkSdJySnIIsB+wd09no4WR/wt6ZwWQNEEcIS5pOZhwkyRJmmNVdRnw2AHl32DAGiRVdRfw/GWomiRJ0kRIsg/wJ8CvVtWdPZvOBd6R5A3ATwG7Ap8dQxUlSdIEMOEmSZIkSZIkAUneCawCtk1yLXA08GrgPsB5SQAuqqrfr6rLk5wFXEE31eQRVXXPeGouSZLGzYSbJEmSJEmSBFTVQQOKTxpQtrD/scCxo6uRJEmaFluMuwKSJEmSJEmSJEnSNDPhJkmSJEmSJEmSJA3BhJskSZIkSZIkSZI0BBNukiRJkiRJkiRJ0hC2GncFJEnSfFpx1PsGlq8+7pnLXBNJkiRJkiRpOI5wkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhzFXCLcl9k3w2yReTXJ7kL1r5w5J8JslVSc5Mcu9Wfp/2/Kq2fcU46y9JkiRJkiRJkqTJM1cJN+D7wF5VtTuwB7BPkicCrwOOr6qHA7cCh7X9DwNubeXHt/0kSZIkSZIkSZKkH9lq3BVYTlVVwHfb03u1WwF7Ab/Vyk8FjgFOAPZvjwHeBbwlSdrrSJIkSZIkSZK0ZCuOet+i21Yf98xlrImkYc3bCDeSbJnkUuBG4Dzg68BtVXV32+VaYMf2eEfgGoC2/XbgwctbY0mSJEmSJEmSJE2yuUu4VdU9VbUHsBOwJ/CoYV8zyeFJLk5y8U033TR0HSVJkpZDkp2TXJDkira+7Utb+TFJrktyabvt23PMq9v6tl9N8mvjq70kSZIkSdLkmKspJXtV1W1JLgCeBGydZKs2im0n4Lq223XAzsC1SbYCHgjcMuC1TgROBFi5cqXTTUpSj8WmRnBaBGki3A28sqouSfIA4PNJzmvbjq+qv+/dOcluwIHAo4GfAj6c5BFVdc+y1lqSJGlEkpwM7AfcWFWPaWXbAGcCK4DVwAFVdWuSAG8C9gXuBA6pqkvGUW9JkjR+c5VwS7Id8L8t2XY/4GnA64ALgOcBZwAHA+e0Q85tzz/dtn/E9dskSdKsqKrrgevb4+8kuZI1U2sPsj9wRlV9H/hmkqvoZgz49MgrK0mStDxOAd4CnNZTdhRwflUdl+So9vxVwDOAXdvtCcAJ7V6SpJlgR/pNM29TSu4AXJDkMuBzwHlV9e90QdIr2kWjBwMntf1PAh7cyl9BF1BJkiTNnCQrgMcCn2lFRya5LMnJSR7Uyn60vm3Tu/Zt/+s55bYkSZo6VfUx4Nt9xfsDp7bHpwLP7ik/rToX0c2gtMPy1FSSJE2auRrhVlWX0V1I6i//Bl3v7P7yu4DnL0PVJEmSxibJ/YGzgZdV1R1JTgD+Cqh2/3rghZvymk65LUmSZsj2bWYAgG8B27fHi3VGuh5JkjR35m2EmyRJknokuRddsu30qno3QFXdUFX3VNUPgbexpmPSwvq2C3rXvpUkSZp5bamRTe5M5Oh/SZJmnwk3SZKkOZUkdFNoX1lVb+gp750K6TnAl9vjc4EDk9wnycPo1iv57HLVV5IkaUxuWIiP2v2NrXyjOyNV1YlVtbKqVm633XYjrawkSRoPE26SJEnz68nAC4C9klzabvsCf5vkS23d26cALweoqsuBs4ArgA8AR1TVPWOquyRJ0nI5Fzi4PT4YOKen/HfTeSJwe8/Uk5Ikac7M1RpukiRJWqOqPgFkwKb3r+eYY4FjR1YpSZKkMUryTmAVsG2Sa4GjgeOAs5IcBlwNHNB2fz+wL3AVcCdw6LJXWJIkTQwTbpIkSZIkSRJQVQctsmnvAfsWcMRoayRJkqaFU0pKkiRJkiRJkiRJQzDhJkmSJEmSJEmSJA3BhJskSZIkSZIkSZI0BBNukiRJkiRJkiT9/+zdeZxkdX3v/9ebzQ0vi4wEgXGIEhW9EU1f0GASlJiwaEajEjDXAKJjcuG6xBhHcxMwN+Q3/q4GTUyIYyDADREIaCABF0IkigkYQEQWF8RBZhwBEXDBDfzcP85pqGmqZ7q7urq21/PxqEdVfc9Sn293n5rPnM/3fI8k9cCCmyRJkiRJkiRJktQDC26SJEmSJEmSJElSDyy4SZIkSZIkSZIkST2w4CZJkiRJkiRJkiT1wIKbJEmSJEmSJEmS1AMLbpIkSZIkSZIkSVIPLLhJkiRJkiRJkiRJPdhm0AFIkiR1s2L1RV3b1605bIkjkSRJkiRJkjbPK9wkSZIkSZIkSZKkHlhwkyRJmmBJ9kzyiSQ3JrkhyRva9p2TXJLky+3zTm17kvx5kpuTXJfk2YPtgSRJkiRJ0uBZcJMkSZps9wNvrqp9gOcAxyXZB1gNXFpVewOXtu8BDgH2bh+rgFOWPmRJkqSll+RN7QCl65N8MMkjk+yV5Mp2MNI5SbYbdJySJGkwLLhJkiRNsKraWFXXtK+/A9wE7A6sBM5oVzsDeEn7eiVwZjWuAHZMstsShy1JkrSkkuwOvB6YqqpnAFsDRwDvBE6uqicDdwPHDi5KSZI0SNsMOgBJkiQNhyQrgGcBVwK7VtXGdtE3gF3b17sDt3Vstr5t24gkSdJ42wZ4VJIfA4+myX9eALyyXX4GcCLOACBNnBWrL+ravm7NYUscycPNFhsMR3zSOPEKN0mSJJFke+B84I1V9e3OZVVVQM1zf6uSXJXkqjvvvHMRI5UkSVp6VbUBeBfwNZpC273A1cA9VXV/u9r0QCRJkjSBvMJNkiRpwiXZlqbYdlZVfahtvj3JblW1sZ0y8o62fQOwZ8fme7Rtm6iqtcBagKmpqXkV6yRJkoZNkp1optbeC7gH+Afg4Hlsv4rm/rcsX768HyFKmlBewSYND69wkyRJmmBJApwK3FRVf9ax6ELgqPb1UcAFHe2/lcZzgHs7pp6UJEkaV78MfLWq7qyqHwMfAg6guZ/t9ID2rgORoBmMVFVTVTW1bNmypYlYkiQtKQtukiRJk+0A4FXAC5Jc2z4OBdYAL0zyZZoTTGva9S8GbgFuBj4A/I8BxCxJkrTUvgY8J8mj2wFLBwE3Ap8AXt6u0zlISZIkTRinlJQkSZpgVXU5kFkWH9Rl/QKO62tQkiRJQ6aqrkxyHnANcD/wWZrpsy8Czk7yJ23bqYOLUpIkDZIFN0mSJEmSJGkLquoE4IQZzbcA+w0gHEmSNGScUlKSJEmSJEmSJEnqgQU3SZIkSZIkSZIkqQcW3CRJkiRJkiRJkqQeeA83SZIkSZIkSZIm0IrVF826bN2aw5YwEmn0TVTBLcmewJnArkABa6vqvUl2Bs4BVgDrgMOr6u4kAd4LHArcBxxdVdcMInZJkiRJkiRJkqRpsxVMLZYOxkQV3ID7gTdX1TVJHgtcneQS4Gjg0qpak2Q1sBp4K3AIsHf72B84pX2WJEmSJEmSJGmseQWcNHcTdQ+3qto4fYVaVX0HuAnYHVgJnNGudgbwkvb1SuDMalwB7JhktyUOW5IkSZIkSZIkSUNs0q5we1CSFcCzgCuBXatqY7voGzRTTkJTjLutY7P1bdvGjjaSrAJWASxfvrxvMUuStJSclkCSJEmSJE0yz40Mr2G8+nKirnCblmR74HzgjVX17c5lVVU093ebs6paW1VTVTW1bNmyRYxUkiRJkiRJkiRJw27irnBLsi1Nse2sqvpQ23x7kt2qamM7ZeQdbfsGYM+Ozfdo2yRJkiRJkiRJkkaWV/AtrokquCUJcCpwU1X9WceiC4GjgDXt8wUd7ccnORvYH7i3Y+pJSZIkSZIkSZLUJ1sqCFkwGm3j9vubqIIbcADwKuDzSa5t295OU2g7N8mxwK3A4e2yi4FDgZuB+4BjljZcSZIkSZIkSZIkDbuJKrhV1eVAZll8UJf1Cziur0FJkiRJkiRJkiRppG016AAkSZIkSZIkSZKkUWbBTZIkaYIlOS3JHUmu72g7McmGJNe2j0M7lr0tyc1JvpjkVwcTtSRJkiRJ0nCx4CZJkjTZTgcO7tJ+clXt2z4uBkiyD3AE8PR2m79KsvWSRSpJkjRASXZMcl6SLyS5Kclzk+yc5JIkX26fdxp0nJIkaTAm6h5ukiRJ2lRVfTLJijmuvhI4u6p+CHw1yc3AfsB/9Ck8SdKYWbH6oq7t69YctsSRSAvyXuCjVfXyJNsBjwbeDlxaVWuSrAZWA28dZJCSJGkwvMJNkiRJ3Ryf5Lp2ysnpkdq7A7d1rLO+bXuYJKuSXJXkqjvvvLPfsUqSJPVVkh2AXwROBaiqH1XVPTQDks5oVzsDeMlgIpQkSYPmFW6SZh1lCo40XQyO4tWg+LenHpwC/G+g2ud3A6+ezw6qai2wFmBqaqoWO0BJkkaN/+8aeXsBdwJ/m+SZwNXAG4Bdq2pju843gF27bZxkFbAKYPny5f2PVtLQGPfv/1Hvn+dOtJi8wk2SJEmbqKrbq+qBqvoJ8AGaaSMBNgB7dqy6R9smSZI07rYBng2cUlXPAr5HM33kg6qqaAYsPUxVra2qqaqaWrZsWd+DlSRJS8+CmyRJkjaRZLeOty8Frm9fXwgckeQRSfYC9gY+s9TxSZIkDcB6YH1VXdm+P4+mAHf7dO7UPt8xoPgkSdKAOaWkJEnSBEvyQeBAYJck64ETgAOT7EszQnsd8DqAqrohybnAjcD9wHFV9cAg4pYkadKM+pRdo66qvpHktiRPqaovAgfR5EQ3AkcBa9rnCwYYpiRJY2MUcx8LbpIkSROsqo7s0nzqZtY/CTipfxFJkiQNrf8JnJVkO+AW4Bia2aPOTXIscCtw+ADjkyRJA2TBTZIkSZIkSdqCqroWmOqy6KCljkXS0prtSpthvcpG0mBYcJMkaYFG8dJ2SZIkDSdzS0mSpNG21aADkCRJkiRJkiRJkkaZV7hJkjShnBJDkiRJkiRJWhwW3CRJkiRJ0pw4YEeSJEnqzoKbJEmSJElLxIKVJEmSJsWk5b4W3CRJkiRJkiRpgk3aSXFJ6gcLbpIkzWK2/3CA/+mQJElabOZekiRp0ljsHi9bDToASZIkSZIkSZIkaZR5hZskSZIkSZIkSZLmxSv0NmXBTZIkSZIkjTynpJQkSdqUBbGlZcFNkiRJkiRpCyzoSZIkaXMsuEmSJEmSNCEc5SxpXFkUlyQNmgU3SZIkSZI09DyZLkmSpGFmwU2SJGmCJTkNeBFwR1U9o23bGTgHWAGsAw6vqruTBHgvcChwH3B0VV0ziLglScPJK+gkSZI0qSy4SRo4R6pK0kCdDrwPOLOjbTVwaVWtSbK6ff9W4BBg7/axP3BK+yxJkjQRkmwNXAVsqKoXJdkLOBt4HHA18Kqq+tEgYxxVk35uwAEL0njy2J4sWw06AEmSJA1OVX0S+NaM5pXAGe3rM4CXdLSfWY0rgB2T7LY0kUqSJA2FNwA3dbx/J3ByVT0ZuBs4diBRSZKkgfMKN0mSJM20a1VtbF9/A9i1fb07cFvHeuvbto1IkjThJv3qnEmQZA/gMOAk4Hfb6bZfALyyXeUM4ESaWQCkseJVOpK0ZRbcJI29LSWFJo2Dtbmff68nLTzpIfWuqipJzXe7JKuAVQDLly9f9LgkSZIG4D3A7wOPbd8/Drinqu5v308PRpIkSRPIgpukoWdBTJKW3O1Jdquqje2UkXe07RuAPTvW26Nte5iqWgusBZiampp3wU6SJGmYJHkRcEdVXZ3kwAVs72CkMeeAT2kyed5SnSy4SdKQ8x9uSQNwIXAUsKZ9vqCj/fgkZwP7A/d2TD0pSZI0zg4Afi3JocAjgf8CvJfmnrbbtFe5ORhJs/L/9pI0/iau4JbkNGB6VNIz2radgXOAFcA64PCqurudi/u9wKHAfcDRVXXNIOKWJEnqhyQfBA4EdkmyHjiBptB2bpJjgVuBw9vVL6bJi26myY2OWfKAJUmSBqCq3ga8DaC9wu33quo3k/wD8HLgbDYdqCRpHixISt15bIyWiSu4AacD7wPO7GhbDVxaVWuSrG7fvxU4BNi7fexPc9Pb/Zc0WknS2HLKEQ2DqjpylkUHdVm3gOP6G5EkaZA8qSPN21uBs5P8CfBZ4NQBxyNJkgZk4gpuVfXJJCtmNK+kGdkNcAZwGU3CtBI4sz25dEWSHafvZ7I00UqSJEmSJGmYVNVlNOeOqKpbgP0GGY+WhgMmNSj+7UmjY+IKbrPYtaOI9g1g1/b17sBtHeutb9ssuEmSJEmSNEI8YSlJmo1XeEtaDBbcZqiqSjKvm9cmWQWsAli+fHlf4pIkSZIkaUs8YShJkiQNhgW3xu3TU0Um2Q24o23fAOzZsd4ebdsmqmotsBZgampqXsU6ScPPkxaSJEnS+PMKOEmSJPXCglvjQuAoYE37fEFH+/FJzgb2B+71/m2SZrIgp9l40kaSJEmSJEmaDBNXcEvyQeBAYJck64ETaApt5yY5FrgVOLxd/WLgUOBm4D7gmCUPWNIWWfDSuLJgJ0mSJEmSJI2GiSu4VdWRsyw6qMu6BRzX34gkSZIkSZIkaXz1OljawdaSRsHEFdwkadyYtEqSJEmSpEHy3IIkWXCTJEmSJEmSNOa2NGW/U/pLknq11aADkCRJkiRJkiRJkkaZBTdJkiRJkiRJkiSpB04pKbWca3p2Tqsw2Tw2JEmSJEmSJGnzvMJNkiRJkiRJkiRJ6oFXuEnqO6+QGyyvUJudf5uSJEmSJEmSFoNXuEmSJEmSJEmSJEk98Ao3aYl4lZEkadQkWQd8B3gAuL+qppLsDJwDrADWAYdX1d2DilHS8NnSFeReYS5pFCXZEzgT2BUoYG1VvdfcSJIkTbPgJkkDZjFWC+XfjpbI86vqmx3vVwOXVtWaJKvb928dTGiSJElL5n7gzVV1TZLHAlcnuQQ4GnMjSZKEBTdJkiTNz0rgwPb1GcBleFJJGileYSZJ81dVG4GN7evvJLkJ2B1zI0mS1LLgppHhlRySJC25Aj6epID3V9VaYNf2hBPAN2imVZIkSZoYSVYAzwKuxNxIkiS1LLhJkiRpNs+rqg1JHg9ckuQLnQurqtpi3MMkWQWsAli+fHn/I5UkSVoCSbYHzgfeWFXfTvLgMnMjSZImmwU3SZIkdVVVG9rnO5J8GNgPuD3JblW1McluwB2zbLsWWAswNTXV9cSTJPWDM2NI6pck29IU286qqg+1zeZGkiQJsOCmCeJ/vCVJmrskjwG2au9R8hjgV4A/Bi4EjgLWtM8XDC5KSZKkpZHmUrZTgZuq6s86FpkbaSh43kuSBs+CmyRJkrrZFfhwO03SNsDfV9VHk/wncG6SY4FbgcMHGKMkSdJSOQB4FfD5JNe2bW+nKbSZG83BbAUhsCgkSRoPFtwkST1xFJ00nqrqFuCZXdrvAg5a+ogkTYpJzy0mvf/SsKqqy4HMstjcSJIkWXCTJEmSpJksegwvfzeSJEmShpEFN0mSJEmS5siCnyRpEPz3R5KG31aDDkCSJEmSJEmSJEkaZV7hJi2SSR5p5I2PJUmSFs+w51bDHl+vJjmvlyRJkrRwFtwkSZIkSQ8a94KaJEmSJPWDBTdJkiRJGiMWzDbPK9gkSZIk9YMFN2kCeNJFkiRJkiRJkqT+seAmSZIkSfPUy1VSvQ6GcjCVJEmSJA2frQYdgCRJkiRJkiRJkjTKLLhJkiRJkiRJkiRJPXBKSWkIOC2QtDAeO5KkheplSshh2L8kSZIkabhYcNOcbemkgScVBseigyRJ48fcSpIkSZKk0WHBTZIkSdLQseAoSdLw8d9nSZJmZ8FtgpgUSZIkDY9ec7NR375Xg/58SZIkSZI6WXDTgwZ90mLQny9JkqTFM+jcbtCfL0nSpPF2F5KkSWfBbQ6SHAy8F9ga+JuqWjPgkCRJkgbG3Gg0WHCSJGlpmBstDQt6kqRhZ8FtC5JsDfwl8EJgPfCfSS6sqhsHG5kkSdLSG6fcqNeTNlva3pNCm2dBUJI0DoYtNxr1KaMlSRplFty2bD/g5qq6BSDJ2cBKYMkTp1FPevod/6j/fDbHE3aSpCEyNLlRv/nvryRJmoORyo3G+dyJJEmDlqoadAxDLcnLgYOr6jXt+1cB+1fV8R3rrAJWtW+fAnxxyQMdPbsA3xx0EH00zv0b577B+PevV+P+8xnn/o1z32Dx+vfEqlq2CPsZW3PJjdp286P58RgdbePcv3Hu22IY95+P/Rtd5kZLxNyorzxGR5f9m1zj/rOxf6NtMfq32dzIK9wWQVWtBdYOOo5RkuSqqpoadBz9Ms79G+e+wfj3r1fj/vMZ5/6Nc99g/Ps3isyP5mfc/4bt3+ga574thnH/+di/0TXOfRtV5kbzN85/x+PcN7B/k2zcfzb2b7QtRf+26ufOx8QGYM+O93u0bZIkSZPI3EiSJOkh5kaSJAmw4DYX/wnsnWSvJNsBRwAXDjgmSZKkQTE3kiRJeoi5kSRJApxScouq6v4kxwMfA7YGTquqGwYc1jgY92kUxrl/49w3GP/+9Wrcfz7j3L9x7huMf/+GhrlR34z737D9G13j3LfFMO4/H/s3usa5b0PF3KivxvnveJz7BvZvko37z8b+jba+9y9V1e/PkCRJkiRJkiRJksaWU0pKkiRJkiRJkiRJPbDgJkmSJEmSJEmSJPXAgpsWLMnBSb6Y5OYkq9u249v3lWSXLWz/kna9py5NxPMzS/8OSnJNkmuTXJ7kyZvZ/o1JfpBkh6WLem6SnJbkjiTXd7SdmGRD27drkxy6me33bX93By9NxHOXZM8kn0hyY5Ibkryhbf8/Sb6Q5LokH06y42b2MbT960Uvx2ySy5J8LUk62v4xyXeXIva56OWYTbIuyadmtF3beYwMUi/HbJLTk9yX5LEdbe+Zy/f0Uuj1mB32/mmymBuZGw1r7mB+1J25kblRR9tQ5Q7mRxon45wfmRuZGw1zHxdqnPMjcyNzo6XoowU3LUiSrYG/BA4B9gGOTLIP8Gngl4Fb57CbI4HL2+eFfH7fbKZ/pwC/WVX7An8P/K/N7OZI4D+BX5/nZydJv4/N04FuCcHJVbVv+7h4M9sP7e8OuB94c1XtAzwHOK793V0CPKMR7PBXAAAgAElEQVSqfhb4EvC2zexjmPu3IIt0zN4DHNDub0dgt/5EO3+LdMw+Nsme7f6e1ueQ5+t0ejtmbwZWArTfLy8ANix6lAuzGMfsMPdPE8LcyNyIIf3dtcyPZjA3MjdiuHMH8yONhXHOj8yNzI0Y/j7O2zjnR+ZG5kYsUR8tuGmh9gNurqpbqupHwNnAyqr6bFWt29LGSbYHngccCxzR0X5gkk8muagdcfDX00lEku8meXeSzwHP7UenOnTtH1DAf2nX2QH4ereNkzwJ2J7mS/rIjvajk1yQZsTHl5Oc0LavaPt7JnA9sGe/OgZQVZ8EvrWQbZMEeAVwNPDCJI9s21e0IwrOSnJTkvOSPLpdti7JO5Nc027bN1W1saquaV9/B7gJ2L2qPl5V97erXQHsMYr960FPx2zrbB46Xn8d+ND0giTbJ7k0zaigzyeZ/gfsj5O8sWO9k9KOQllkPR2zrXOB32hfHwl8cHpB+/v/VNu/a5L8fNt+ZpKXdKx31nTfF1Mvx2zrbB7q24E0yfL08TA94uzqNKOEVrVtr07yno51Xpvk5B5i6KrXY7Y1tP3TRDE3Mjc6miHNHcyPujI3Mjca2tzB/EhjZJzzI3OjWYxC3mBuNKtxzo/MjTZvqPOGUcqNLLhpoXYHbut4v75tm6uVwEer6kvAXUl+rmPZfsD/pBlt8CQeGunzGODKqnpmVV2+4MjnZrb+vQa4OMl64FXAmlm2P4LmIP4U8JQku3Ys2w94GfCzwCuSTLXtewN/VVVPr6q5jBjph+PTXIJ7WpKdZlnn54GvVtVXgMuAwzqWPYWmD08Dvg38j45ld1XVs6vq7H4E3k2SFcCzgCtnLHo18JFZNhuZ/s1Tr8cswKXAL6YZFXQEcE7Hsh8AL62qZwPPB97dJqCnAb8FD44eOQL4uwX1YPN6PWYBzueh75sXA//UsewO4IVt/34D+PO2/VSaBJs004D8PHBRLx2Zp7kcs9CM8lnWrnMkzfdTp1dX1c8BU8DrkzyOJpF8cZJt23WOofl99s0Cj1kYkf5p7JkbmRuNRO5gfvQgcyNzo5HIHcyPNOLGOT8yNzI3Gpk+zsM450fmRuZGS9JHC24alM4/6rPZ9PLrz7SjDR6gGSnwvLb9AZovtkF6E3BoVe0B/C3wZ7OsdyRwdlX9hCbmzpErl1TVXVX1fZpRHtP9u7WqruhT3HNxCk2Sui+wEXj3LOtt7nd3W1V9un39dzzUN9j0H9i+SzMS7nzgjVX17Y72P6AZvXDWLJuORP8G5AGa6RKOAB41Y3RTgD9Nch3wLzRJy67tOncleRbwK8Bnq+quJYx5rscswF3A3UmOoBkpc1/Hsm2BDyT5PPAPNP+po6r+Ddg7yTKav5XzO0bW9Ntcj9lpH6L53e1P85+6Tq9PMwL0CpqRkntX1XeBfwVelOZ+CdtW1ecXMf5N9HDMThvq/klzYG5kbtR35keLztzI3KivuYP5kTSS+ZG50QjlDeZGfTFq+ZG50UOGPm8Yhdxom3n0R+q0gU0vX9+Dzcx5muRjwK7AVcDv08yR+l+TFLA1UEne0q5eMzaffv+DNpFaCt36dztwSFVNV8/PAT7ajti4um27kOZLdW/gkmaQBtsBXwXe164zW/++t5gdmK+qun36dZIPAP/cvv5bmlEDX6cZvfEyYGX7RRbgcXnohpOz9Q2WsH/tqIPzgbOqqvPS9aOBFwEHVVW1bSPXvwVa8DFbVa/pWHQ28GHgxBmb/CawDPi5qvpxknXAI9tlf0Mzmuen6N9IlwUfs1X1Rx3bnUMzp/fRM/b/pnZ/z6QZrPKDjmVnAv+d5h/sY3ruyRzN5Zitqs4b4p5D0+8zquon7fcTSQ6kmYv9uVV1X5LL2PR393bgCzSJZ18s9Jgdlf5pYpgbmRsNde5gfvQw5kbmRkOdO5gfaUyMc35kbmRuNPR9XIBxzo/MjcyNYCn6WFU+fMz7QVOsvQXYiyYx+Bzw9I7l64BdZtl2FfD+GW3/Bvwizfyp32/3uxXwMeBl7TrfHXD/ngl8E/iZdp1jaUYlzNz2T4G3zWj7KvBEmi/jrwM7A48CrqO5THUFcP0S/w43+Uxgt47Xb6IZaTVzm18BPjaj7Qyay75X0CQRz23b/4bmZpab/XvoQ79C8w/Ze2a0HwzcCCzbzLZD379F/pue0zHbLr+s/VsN8HvT604fl8AbgL9oXz+//VmtaN9vB3yx/fytl7B/czpmO/sPPBZ4a7uPB48R4OSO3/cxQHVsuyvNjYOv7PPvcN7HbLvsdODl7evXAU+a0eeVwD+1bU+lSQoP7Nj+GpppF3bqU78WfMyOQv98TM6jl+9ZzI3MjfrfN/Ojuf1NmxvN6D/mRgPJHXo5Zkeljz4m49HLdy1Dnh/18j2LudHA84ZevmdHpY+L+Hc9FvlRL8dsZ98xNzI32kKsTimpBanm0tfjaZKam4Bzq+qGJK9PM+ftHsB1Sf6my+ZH0oxy6HQ+D11+/Z80o3puokk4Zq7bd7P073PAa4Hz28tLXwW8pcvmR/DwmD/MQzcM/QxNf6+j+RK/avF7sHlJPgj8B8084euTHAv8/2luWHodzT96b+qy6ZZ+d18EjktyE7ATzaXLS+0Amt/NC5Jc2z4OpfmbeizNCLJrk/x1l21HoX8L0uMx27mfqqp3VdU3Zyw6C5hqL53/LZpRH9Pb/Aj4RPuZfRlp2OMx27mf71TVO9uYO/0VcFS7n6fSMSqtmhFDN9HfK8AWesxuoqreX80c850+CmzT/l2vobl0vtO5wKer6u6eO9JdL8fsJoa0f5oQ5kbmRh2GMXcwP5rB3MjcqI11WHMH8yONhXHOj8yNzI1mtA1jH+dtnPMjcyNzo2n97mPaCp00FNrLN3+vql406Fj6ob3Edaqqjh90LIstzQ0r/7mqnjHgUPpi3PvXT2lueHsN8Iqq+vKg41lsSR4NfB54dlXdO+h4FluSfwZOrqpLBx1LP4x7/zT6zI1G1yTkDpPQx34wNxptk5A7TEIfNdrGOT8yNxptk9DHfhnn/MjcaPTNp49e4SZJ6psk+wA3A5eOW8IEkOSXaUYp/cW4JU1JdkzyJeD745g0jXv/JEnDydxodE1C7jAJfZQkDZ9xzo/MjUbbQvroFW6SJEmSJEmSJElSD7zCTZIkSZIkSZIkSeqBBTdJkiRJkiRJkiSpBxbcJEmSJEmSJEmSpB5YcJMkSZIkSZIkSZJ6YMFNkiRJkiRJkiRJ6oEFN0mSJEmSJEmSJKkHFtwkSZIkSZIkSZKkHlhwkyRJkiRJkiRJknpgwU2SJEmSJEmSJEnqgQU3SZIkSZIkSZIkqQcW3CRJkiRJkiRJkqQeWHCTJEmSJEmSJEmSemDBTZIkSZIkSZIkSeqBBTdJkiRJkiRJkiSpBxbcJEmSJEmSJEmSpB5YcJMkSZIkSZIkSZJ6YMFNkiRJkiRJkiRJ6oEFN0mSJEmSJEmSJKkHFtwkSZIkSZIkSZKkHlhwkyRJkiRJkiRJknpgwU2SJEmSJEmSJEnqgQU3SZIkSZIkSZIkqQcW3CRJkiRJkiRJkqQeWHCTJEmSJEmSJEmSemDBTZIkSZIkSZIkSeqBBTdJkiRJkiRJkiSpBxbcJEmSJEmSJEmSpB5YcJMkSZIkSZIkSZJ6YMFNkiRJkiRJkiRJ6oEFN0mSJEmSJEmSJKkHFtwkSZIkSZIkSZKkHlhwkyRJkiRJkiRJknpgwU2SJEmSJEmSJEnqgQU3SZIkSZIkSZIkqQcW3CRJkiRJkiRJkqQeWHCTJEmSJEmSJEmSemDBTZIkSZIkSZIkSeqBBTdJkiRJkiRJkiSpBxbcJEmSJEmSJEmSpB5YcJMkSZIkSZIkSZJ6YMFNkiRJkiRJkiRJ6oEFN0mSJEmSJEmSJKkHFtwkSZIkSZIkSZKkHlhwkyRJkiRJkiRJknpgwU2SJEmSJEmSJEnqgQU3SZIkSZIkSZIkqQcW3CRJkiRJkiRJkqQeWHCTJEmSJEmSJEmSemDBTZIkSZIkSZIkSeqBBTdJ6lGSSnJZj/tY0e7n9MWJSpIkaWGSHN3mJUfPaF+XZN1gopIkSVqYJJclqUHHIWn8WXCTNFLakz+djweSfDPJvyZ55aDjkyRJGiZdcqdK8sO2eHZGkqcNOkZJkqRZcpbNPY4edMySNNM2gw5AkhboHe3ztsBTgZXA85NMVdXvLnEsTwPuW+LPlCRJmo93dLzeAdgP+C3gZUmeV1XXdiz/MHAFsHEJ45MkSZPtHV3a3kiTt7wXuGfGsmsfvrokDVaqvJpW0uiYngKgqjKj/SDgkvbtT1fVuiUOrSdJVgBfBc6oqqMHGowkSRobs+VO7bK/AI5njvnH9HSSVbViUYOUJEnqos09ngjs1ct5nvY2IL/ULR+SpMXklJKSxkJVXQp8AQjw3wCSnN5OM7Bi5vpJDmyXnTij/bK2fZskb0/y5XbapduSvDPJdl329bB7uCV5QpI/SvLpJN9I8qMkX0/y90n22Vxfkjw1yT8m+VaS7yW5PMmvzPNHIkmStCUfb5+XdTbOdg+3juWPSfJ/knytzZNuTvLWJN2KekcnOT/JLUm+n+TbbX7032fZ93Qutl2bS32x/YzTe+yrJEkaI0n2T3JexzmX25K8P8kT5rmfX01ycXu7kh8m+Uqb5+zYZd117WM+uVCSvCHJjUl+kGRDkvcl2SFd7o/btr8lza1T1rd9uzPJhUmeO0sfqs2hdkmyNsnGNq4bkhzTZf3tkhzf9vvWdt1vJfmXJIfM5+cnaVNOKSlpnEwnNotx6e7fA78AfAT4NnAo8PvA44GHJStd/CKwGvgEcD7wXWBv4OXAryU5oKo+12W7vYD/AD4PvB/YDfgN4CNJXllV5/TSKUmSpA6/3D5fNY9ttgU+BjyBJk+6H3gJsAZ4JA+fDuoU4AbgkzRTVD6OJq/6v0meUlV/OMvnnE8ziOojwD8Cd8wjRkmSNMaSvBpYC/wQuBC4jeacy2uAFyd5TlV9bQ77OQE4EfgW8M80+cbPAr8HHJrkuVX17RmbzTcX+kvgd4CvtzH/CPg1mum9twV+PGP9pwEn0eROFwF3A8vbbQ5J8uKq+miX7uwIfLrd/3nAI4BXAKcl+UlVndGx7s4003T+O81sUXfSnH96MXBxktdW1d90/aFJ2iynlJQ0UjL7lJK/zEOjtPeqqlvbkdBH0WXqgSQH0hTD3lFVJ3a0Xwb8EnAN8MKq+lbb/hjgczQFsd2r6hszYvq3qjqwo+3xwPer6jszPveZNAnQp6rqkI72FTRTSgK8q6re0rFsiqYI913giV2SPUmSpK6mcyc2PfnzX2iKWQfQnMh5ZWfO0l7Z9rfAMVV1ekf7OpppnT4CvKyqvt+2Px74Urvasqr6ccc2T6qqr8yIabt2H78IrKiqDR3LLqPJxT4PvKCqvrnArkuSpBGXLlNKJvkZ4HrgazTTRHbmEQfRnBu6sKpe2tF+GTOmlEzyfOBfac63HFpV93QsO5omF3pPVb2pSzxzyoWS/AJN4exLwP7Tn9HmQv9CM9D71s7pupPsAGw7MwdKsgfwGeDeqnrajGXT+d6pwOuq6oG2fR/gOuBLVbVPx/qPaONcP2M/O9Ccs3oCzbmv7yNpXpxSUtJISnJi+zgpyXnAR2mucHtPVd26CB/x1uliG0BVfQ84i+Z7c2pLG1fVHTOLbW3752gSuucn2bbLpvcCfzxjm6vaz94ReGmXbSRJkrbkhI7Hm4DnATcBH+yWs2zB6ztPwFTVHcAFwA7AUzpXnFlsa9t+RDPaexvgoFk+4w8ttkmSpC5+h+bKsDd0FtvgwduNXEhzldtjt7Cf17fPr+0strX7OR24FvjN2badYy50VPt8UudntLnQ27rtuKru7ZYDtcWx84CnJlneZdP7gN+dLra129xIU0B7WpLtO9p/OLPYNv3ZwGnATrS3a5E0P04pKWlUndA+F3AP8Cng1Kr6u0Xaf7eplW5rn3eayw6SHAb8Nk2Bbhce/p27C83USp2umeWk12U0idqzgDO6LJckSZrVjBHdjwGeTjP10VlJnl5VfzDHXd1bVTd3ae+aJ7UnhN5KU1hbDjxqxna7z/I5n5ljPJIkabJM38fsl5J0Kwo9Htga+Bng6i3s58fAK5K8osvy7YBlSR5XVXd1tM8nF3pW+3x5l/WvoJmO8mGSHAC8oY3x8W0snXanucKv05dnmRGpM67vdnzG04G30Mw4sBvNdJgzP0PSPFlwkzSSZk4p2Yf939OleToR2npL2yd5A/Aemrm2L6FJhO6jKRC+BHgmzXzaM90+yy6np7DcYUufLUmStDntlfufSfLrwHrg95P8dVXdtoVNoRno1M3D8qQkP01TONuJZnDUx2mu5n8AWEEzmKhbPgQP5T6SJEmdHtc+v2Wza8H2W1j+OJpz4ydsYb3tgc6C25xzIR46h/Owcz1V9UCSu2a2J3kpzZVsP6A5n/QV4HvAT4ADaabe7pY/zSdHew7N7EvbANNXBX67/Yx9gZWzfIakLbDgJmmc/aR97vZdt2O/PjTJNjQ33f0G8Oyq2jhj+XO7bdfadZb2n2qf7+05QEmSJJoBRkm+CDy7fcyl4DYfv0tzMmuTe8EBJDmSh6ZZ6habNxuXJEndTJ8X2aHHe9zfC2xVVTsvQkyzmY5vV+CWzgVJtqbJkzbM2OZ/Az8CpqrqphnbvJ+m4Nar/0Uz68Dzq+qyGZ/xNpqCm6QF8B5uksbZ3e3znl2WbfE+bD3Yhaag9+9dim3b05zQms2zZ5ln/MD2+bOLEqEkSVJjetqjfvzf8Mnt8/ldli3GySJJkjR5rmiff2ER9rNTO7Viv0yfw3lel2XPofsA8ScDN3Yptm01y34W4snAt2YW21rmaFIPLLhJGmfT9/54bWdjkv9KMxd2v9xBM33kz3XelDbJtsB7aQpys9kB+KPOhiRTNDfqvRf48KJHK0mSJlKSlwB70dy/5N/78BHr2ucDZ3zurwKv6cPnSZKk8fc+mtzl5CQ/M3Nhku2SzKUYd3L7/IEkT+iyn8e0Uy/24sz2+Q+SPHiLkCTbAX86yzbrgL07Y0oSmpmU9ukxns7P2DnJz3Y2JjkW+NVF+gxpIjmlpKRxdgHwZeDIJHsAVwLLaS6NvwA4vB8fWlU/SfLnwGrg80kuoLnB7fOBnYFPtK+7+STwmiT7A5+muXHtb9AMkHhdj9MlSJKkCZXkxI63j6E5YXNI+/7tVTXbfWR78VfAMcA/JDkP+DrwDOBg4FyaHEeSJGnOquoLSV4NnAbckOSjwJeAbWnO+fwCcCfw1C3s59Ikq4H/D/hykouBr9Lcs+2JNFd6XU6Ttyw01n9LshZY1cZ6Pk2x8MU0g6q/zkO3Q5l2MvDXwGc71j+AJnf7p3bbXr2HprB2eZJz21imaK6gOw94+SJ8hjSRLLhJGltV9YMkBwHvAl4I/DfgeuCVwLfoU8Gt9Yc0Cd5rgNfRJC+X0MyT/Y7NbPdV4LeBNe3zI4BrgD+uqo/1MV5JkjTeTuh4/QBNnvJPwPuq6pJ+fGBVXZfk+cCfAIfR/P/zc8CvA/dgwU2SJC1AVf1dks8Bb6YZ0PwrwPdoCljnAefMcT/vTPJp4PU0xaaVNOdvNgBrgb9fhHB/B/gCzbmh3wbuopm96O3AeuArM2J6f5IfAm+kud/t94FP0QxiehmLUHCrqo8meTHNOarfoMkNP0Pzs/xpLLhJCxbvRS1JC5fkkTTJz8erysvuJUmSJEmStFlJ9qa5Mu/sqjpy0PFIWhzew02SejM9X/j6gUYhSZIkSZKkoZLkp5JsNaPt0TTTOkJztZukMeGUkpK0AEmeSDMH98vapvMGGI4kSZIkSZKGzxuBI5NcBmwEfgo4CNgD+AjwD4MLTdJis+AmSQuzF/B7wM3AsVX1kQHHI0mSJEmSpOFyCfBMmvvM7QzcTzOV5J8D7ynv9ySNFe/hJkmSJEmSJEmSJPXAK9wW2S677FIrVqwYdBiSJGkBrr766m9W1bJBxzFuzI8kSRpN5kb9YW4kSdJo2lJuZMFtka1YsYKrrrpq0GFIkqQFSHLroGMYR+ZHkiSNJnOj/jA3kiRpNG0pN9pqqQKRJEmSJEmSJEmSxpEFN0mSJEmSJEmSJKkHFtwkSZIkSZIkSZKkHlhwkyRJkiRJkiRJknpgwU2SJEmSJEmSJEnqwTaDDkCSNNlWrL6oa/u6NYctcSSSJEnS8JotbwZzZ2kxeIxJknrlFW6SJEmSJEmSJElSDyy4SZIkSZIkSZIkST2w4CZJkiRJkiRJkiT1wIKbJEmSJEmSJEmS1AMLbpIkSZIkSZIkSVIPLLhJkiRJkiRJkiRJPbDgJkmSJEmSJEmSJPXAgpskSZIkSZIkSZLUg4kquCV5ZJLPJPlckhuSvKNt3yvJlUluTnJOku3a9ke0729ul68YZPySJEmSJEnqnySnJbkjyfUdbTsnuSTJl9vnndr2JPnz9rzRdUmePbjIJUnSoE1UwQ34IfCCqnomsC9wcJLnAO8ETq6qJwN3A8e26x8L3N22n9yuJ0mSJEmSpPF0OnDwjLbVwKVVtTdwafse4BBg7/axCjhliWKUJElDaKIKbtX4bvt22/ZRwAuA89r2M4CXtK9Xtu9plx+UJEsUriRJkiRJkpZQVX0S+NaM5s7zQzPPG53Znm+6AtgxyW5LE6kkSRo22ww6gKWWZGvgauDJwF8CXwHuqar721XWA7u3r3cHbgOoqvuT3As8DvjmkgYtSZIkSZIGasXqi2Zdtm7NYUsYiQZg16ra2L7+BrBr+/rB80at6XNKG5EkSRNnoq5wA6iqB6pqX2APYD/gqb3uM8mqJFcluerOO+/sOUZJkiRJkiQNn6oqmtmS5sVzR5Ikjb+JK7hNq6p7gE8Az6W55H/6ar89gA3t6w3AngDt8h2Au7rsa21VTVXV1LJly/oeuyRJkiRJkpbM7dNTRbbPd7TtD543anWeU9qE544kSRp/E1VwS7IsyY7t60cBLwRuoim8vbxd7Sjggvb1he172uX/2o5kkiRJkiRJ0mToPD8087zRb6XxHODejqknJUnShJm0e7jtBpzR3sdtK+DcqvrnJDcCZyf5E+CzwKnt+qcC/zfJzTQ3zD1iEEFL0iib7V4X3udCkiRJ0rBJ8kHgQGCXJOuBE4A1wLlJjgVuBQ5vV78YOBS4GbgPOGbJA5YkSUNjogpuVXUd8Kwu7bfQ3M9tZvsPgFcsQWiSJEkDkeQ04EXAHVX1jLbtROC1wPQNRt5eVRe3y94GHAs8ALy+qj625EFLkiT1SVUdOcuig7qsW8Bx/Y1IkiSNiomaUlKSJEkPczpwcJf2k6tq3/YxXWzbh+aK/6e32/xVO3OAJEmSJEnSRLPgJkmSNMGq6pM0U2fPxUrg7Kr6YVV9lWb6pIfNEiBJkiRJkjRpLLhJkiSpm+OTXJfktCQ7tW27A7d1rLO+bZMkSZIkSZpoFtwkSZI00ynAk4B9gY3Au+e7gySrklyV5Ko777xzyxtIkiRJkiSNMAtukiRJ2kRV3V5VD1TVT4AP8NC0kRuAPTtW3aNt67aPtVU1VVVTy5Yt62/AkiRJkiRJA2bBTZIkSZtIslvH25cC17evLwSOSPKIJHsBewOfWer4JEmSJEmShs02gw5AkiRJg5Pkg8CBwC5J1gMnAAcm2RcoYB3wOoCquiHJucCNwP3AcVX1wCDiliRJkiRJGiYW3CRJkiZYVR3ZpfnUzax/EnBS/yKSJEmSJEkaPU4pKUmSJEmSJEmSJPXAgpskSZIkSZIkSZLUAwtukiRJkiRJkiRJUg8suEmSJEmSJEmSJEk9mKiCW5I9k3wiyY1Jbkjyhrb9xCQbklzbPg7t2OZtSW5O8sUkvzq46CVJkiRJkiRJkjSMthl0AEvsfuDNVXVNkscCVye5pF12clW9q3PlJPsARwBPB54A/EuSn6mqB5Y0akmSJEmSJEmSJA2tibrCrao2VtU17evvADcBu29mk5XA2VX1w6r6KnAzsF//I5UkSZIkSZIkSdKomKiCW6ckK4BnAVe2TccnuS7JaUl2att2B27r2Gw9my/QSZIkSZIkSZIkacJMZMEtyfbA+cAbq+rbwCnAk4B9gY3Au+e5v1VJrkpy1Z133rno8UqSJEmSJEmSJGl4TVzBLcm2NMW2s6rqQwBVdXtVPVBVPwE+wEPTRm4A9uzYfI+2bRNVtbaqpqpqatmyZf3tgCRJkiRJkpZckjcluSHJ9Uk+mOSRSfZKcmWSm5Ock2S7QccpSZIGY6IKbkkCnArcVFV/1tG+W8dqLwWub19fCByR5BFJ9gL2Bj6zVPFKkiRJkiRp8JLsDrwemKqqZwBbA0cA7wROrqonA3cDxw4uSkmSNEjbDDqAJXYA8Crg80mubdveDhyZZF+ggHXA6wCq6oYk5wI3AvcDx1XVA0setSRJkiRJkgZtG+BRSX4MPJrmtiQvAF7ZLj8DOJHm1iWSJGnCTFTBraouB9Jl0cWb2eYk4KS+BSVJkiRJksbeitUXzbps3ZrDljASLURVbUjyLuBrwPeBjwNXA/dU1f3tauuB3bttn2QVsApg+fLl/Q9YkiQtuYmaUlKSJEmSJEmaryQ7ASuBvYAnAI8BDp7r9lW1tqqmqmpq2bJlfYpSkiQN0kRd4SZJkiRJkvT/2LvzKNmq8u7j3x8gzhGUKyKD1yhxjKLe4PgqikZEDDhDjIIT5lWcY0RjIjHqwjfOGgcUAjiBEQmoBEUUURNRQEQEB8RLAK/MCk4o8Lx/7NPcoqju293V3VVd/f2sVaur9hlq71Pn1Hm6nrP3kebhscDPqupSgCSfpd26ZLMkm3S93LYBLhphHSVJE2a6HvL2jh9P9nCTJEmSJEmSZva/wEOS3CpJgJ2Bs4GvAk/r5tkbOGZE9ZMkSSNmwk2SJEmSJEmaQVWdAnwGOB34Pu03tQxUGycAACAASURBVIOA1wKvSnIucAfg4JFVUpIkjZRDSkqSJEmSJEkbUFVvBN7YV3wesOMIqiNJksaMPdwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQibjLoCkiTN1+r9vzDttLUHPnEJayJJkiRJkiRpJbOHmyRJkiRJkiRJkjQEE26SJEmSJEmSJEnSEEy4SZIkSZIkSZIkSUNYUQm3JNsm+WqSs5P8IMnLu/LbJzkhyU+6v5t35Uny3iTnJjkzyQNH2wJJkiRJkiRJkiSNm01GXYEldi3w6qo6PcltgdOSnADsA5xYVQcm2R/YH3gt8ARg++7xYOCD3V9JkiRJkjRGVu//hWmnrT3wiUtYE0mSJK1EK6qHW1Wtq6rTu+dXA+cAWwO7A4d1sx0G7NE93x04vJpvAZsl2WqJqy1JkiRJkiRJkqQxttJ6uN0gyWrgAcApwJZVta6b9Atgy+751sAFPYtd2JWt6ykjyb7AvgDbbbfdotVZkiRJkiRNJnvoSZIkLW8rqofblCS3AY4CXlFVV/VOq6oCai7rq6qDqmpNVa1ZtWrVAtZUkiRJkiRJkiRJ427F9XBLcjNasu0TVfXZrvjiJFtV1bpuyMhLuvKLgG17Ft+mK5MkSZoISQ4BdgMuqar7dmW3B44EVgNrgWdU1ZVJArwH2BX4LbDP1HDdkiTNxnS9uOzBJUmSpOVuRfVw634kOhg4p6re2TPpWGDv7vnewDE95c9J8xDgVz1DT0qSJE2CQ4Fd+sr2B06squ2BE7vXAE8Atu8e+wIfXKI6SpIkSZIkjbUVlXADHg48G3hMkjO6x67AgcDjkvwEeGz3GuA44DzgXOAjwItHUGdJkqRFU1UnA1f0Fe8OHNY9PwzYo6f88Gq+BWzWjQ4gSZIkSZK0oq2oISWr6htAppm884D5C3jJolZKkiRp/GzZ06v/F8CW3fOtgQt65ruwK3MEAEmSNPGSbAZ8FLgvUMDzgB8xYCjuEVVRY8whdSVp8q2ohJskSZLmpqoqSc11uST70oadZLvttlvwekmSJI3Ae4Djq+ppSTYFbgW8njYU94FJ9qcNxf3aUVZSWgwmDCVpw1bakJKSJEnasIunhors/l7SlV8EbNsz3zZd2U1U1UFVtaaq1qxatWpRKytJkrTYktwOeCRwMEBV/aGqfsn0Q3FLkqQVxoSbJEmS+h0L7N093xs4pqf8OWkeAvyqZ+hJSZKkSXZX4FLg35N8N8lHk9ya6YfiliRJK4wJN0mSpBUsyaeA/wHukeTCJM8HDgQel+QnwGO71wDHAecB5wIfAV48gipLkiSNwibAA4EPVtUDgN/Qho+8QVUV7d5uN5Fk3ySnJjn10ksvXfTKSpKkpec93CRJklawqtprmkk7D5i3gJcsbo0kSZLG0oXAhVV1Svf6M7SE28VJtqqqdX1Dcd9IVR0EHASwZs2aOd8fV5IkjT8TbpIkSZIkSdIMquoXSS5Ico+q+hHt4qSzu8fetBEBeofilpaV1ft/YWD52gOfuMQ1kaTly4SbJEmSJEmStGEvBT6RZFPaMNvPpd2u5dPdsNznA88YYf0kSdIImXCTJEmSJEmSNqCqzgDWDJh0k6G4JUnSyrPRqCsgSZIkSZIkSZIkLWf2cJMkSZIkSZIkSdKceP/HG7OHmyRJkiRJkiRJkjQEE26SJEmSJEmSJEnSEFbckJJJDgF2Ay6pqvt2ZQcALwQu7WZ7fVUd1017HfB84DrgZVX1xSWvtCRJkiRJK9x0QxbByh22SJLUOKydpHGw4hJuwKHA+4HD+8rfVVVv7y1Icm9gT+A+wJ2BLyf5s6q6bikqKkmSJEmSlgcTgtJk8xiXJG3Iiku4VdXJSVbPcvbdgSOq6hrgZ0nOBXYE/meRqidJkiRJkiRpjkyIjTd7oEmLw2NrvHgPt/X2S3JmkkOSbN6VbQ1c0DPPhV3ZjSTZN8mpSU699NJL+ydLkiRJkiRJkiRpgplwaz4I3A3YAVgHvGMuC1fVQVW1pqrWrFq1ajHqJ0mSJEmSJEmSpDFlwg2oqour6rqquh74CG3YSICLgG17Zt2mK5MkSZIkSZIkSZKAFXgPt0GSbFVV67qXTwbO6p4fC3wyyTuBOwPbA98eQRUlSZIkSZIkaUXyPlWSloMVl3BL8ilgJ2CLJBcCbwR2SrIDUMBa4EUAVfWDJJ8GzgauBV5SVdeNot6SJEmSJEmSJEkLxWT2wlpxCbeq2mtA8cEzzP8W4C2LVyNJkiRJkiRJkiQtZysu4SZJkiRJkiRJ0hR7+UijMWnHngk3SZIkSZIkSdLITNqP7pJWJhNukqSxNV3ADQbdkiRJkiRJksaHCTdJkiRJ0sTwCnlJ0ih4wagkyYSbJGnF8h8iSZIkSXORZGPgVOCiqtotyV2BI4A7AKcBz66qP4yyjpIkaTRMuEmSJEmSJEmz83LgHOBPutdvA95VVUck+RDwfOCDo6qcJEnjZKWNPmHCTZI0lJV24pQkSZK0MiXZBngi8BbgVUkCPAb4626Ww4ADMOEmSRoT/m63tEy4SZIkSZIkSRv2buDvgdt2r+8A/LKqru1eXwhsPWjBJPsC+wJst912i1xNSZIWhgm7udlo1BWQJEmSJEmSxlmS3YBLquq0+SxfVQdV1ZqqWrNq1aoFrp0kSRoH9nCTJEmSJEmSZvZw4K+S7ArcgnYPt/cAmyXZpOvltg1w0QjrKEmSRsgebpIkSZIkSdIMqup1VbVNVa0G9gS+UlXPAr4KPK2bbW/gmBFVUZIkjZg93CRJkiRJkqT5eS1wRJI3A98FDh5xfSRJmgjT3T8Oxvceciuuh1uSQ5JckuSsnrLbJzkhyU+6v5t35Uny3iTnJjkzyQNHV3NJkiRJkiSNWlWdVFW7dc/Pq6odq+ruVfX0qrpm1PWTJEmjseISbsChwC59ZfsDJ1bV9sCJ3WuAJwDbd499gQ8uUR0lSZIkSZIkSZK0TKy4hFtVnQxc0Ve8O3BY9/wwYI+e8sOr+RbtRrhbLU1NJUmSJEmSJEmStBx4D7dmy6pa1z3/BbBl93xr4IKe+S7sytYhSZI04ZKsBa4GrgOurao1SW4PHAmsBtYCz6iqK0dVR0mSZms53gdEkiRJy4cJtz5VVUlqLssk2Zc25CTbbbfdotRLkiRpRB5dVZf1vJ4aivvAJPt3r187mqpJkiRJkrR8TXdBkBcDLU8m3JqLk2xVVeu6ISMv6covArbtmW+bruxGquog4CCANWvWzClZJ0mStMzsDuzUPT8MOAkTbpLmwF5Gmo77hiRJkpazFXcPt2kcC+zdPd8bOKan/DlpHgL8qmfoSUmSpElXwJeSnNb16Ifph+K+kST7Jjk1yamXXnrpUtRVkiRJkiRpZFZcD7ckn6Jdlb1FkguBNwIHAp9O8nzgfOAZ3ezHAbsC5wK/BZ675BWWJEkanUdU1UVJ7gickOSHvRNnGorbEQAkSZKkhbOhYecclk6SRm/FJdyqaq9pJu08YN4CXrK4NZIkSRpPVXVR9/eSJEcDOzL9UNySJEmSJKmHyfCVZcUl3CRJmi3vI6KVLMmtgY2q6uru+V8Cb2L9UNwHcuOhuCVJkiRpLJn0kLQUTLhJkiRpkC2Bo5NAixk/WVXHJ/kOg4filiThD3qSJEnSSmXCTZIkSTdRVecB9x9QfjkDhuKWJEmSJElayUy4SZIkSZIkSZKkOfN2HBqVcdz3TLhJkiRJkiRJkjQNh4yWNBsbjboCkiRJkiRJkiRJ0nJmDzdJkiRJkiRJkhbBOA57N07cPpok9nCTJEmSJEmSJEmShmAPN0mSJEnSiuE9WCTNR5JtgcOBLYECDqqq9yS5PXAksBpYCzyjqq4cVT2lUfH8Kkkm3CRJE8xhCSRJ0nLjD5bS2LoWeHVVnZ7ktsBpSU4A9gFOrKoDk+wP7A+8doT1lCRJI+KQkpIkSZIkSdIMqmpdVZ3ePb8aOAfYGtgdOKyb7TBgj9HUUJIkjZo93CRJWiT2sJMkSZImT5LVwAOAU4Atq2pdN+kXtCEnJUnSCmTCrUeStcDVwHXAtVW1xrG4JUmSJEmSBJDkNsBRwCuq6qokN0yrqkpS0yy3L7AvwHbbbbcUVZUkSUvMhNtNPbqqLut5vT+OxS1JkiRJkrSiJbkZLdn2iar6bFd8cZKtqmpdkq2ASwYtW1UHAQcBrFmzZmBSTpJ0U97fVsuJCbcN2x3YqXt+GHASJtwkSQvAISclSZKk5SGtK9vBwDlV9c6eSccCewMHdn+PGUH1JEnSGDDhdmMFfKnr/v/h7uojx+KWJEmSpFnyghJJE+rhwLOB7yc5oyt7PS3R9ukkzwfOB54xovote54/JEnLnQm3G3tEVV2U5I7ACUl+2DtxurG4HYdbkiRJkpaGwwpJGoWq+gaQaSbvvJR1kSRJ48mEW4+quqj7e0mSo4EdmcVY3I7DLUmSJEmSJEnSZPFiL82FCbdOklsDG1XV1d3zvwTehGNxS5IkSZI08RzOTtIo+aP+8ubnJwlMuPXaEji63QOXTYBPVtXxSb6DY3FLkiRJ0pIY9x+sxr1+kiRJkkbDhFunqs4D7j+g/HIci1uSJElaUiY1xpe9gFY2j01JkiRpMBNukiSNKX/QlCRp6ZlQGo7bT5IkSSuVCTdJWuH8UUSSJEmSJEmShmPCTZIkSZJWEHtQS5KmM84XZHr+kgbz2JjZhr7Xxvl7T8uPCTdpDHhilJYnj11JkiRJK4k/TEvSjfm9qF4bjboCkiRJkiRJkiRJ0nJmDzdJE2/YK028UkWSJEmStBz4/6skSaNjwk2SJEmSdAOHTB5v/pguabny/CKNJ49NaeGYcJOkReaPItJgHhuSpJXI858kSZoLE2LS8mHCTeos5398PfFKGoXl/L0pSZPM2FCSJEmSlp4JN2kFGPcfXTZUP3/Ul5Ynj11JGmzcYzNJkiRJ0tyZcJNmyR+ONSrue5I0mfx+l7QYhv1u8btJ0nx5QYkkaaUz4SZJ0oTyBzdJo+R3iDSePDYlSZKkxWHCbRaS7AK8B9gY+GhVHTjiKmmAcf/HcZzrN98hHaema7yN876n4fjZalSMjcaD3wGSJI0HYyNJGh3/L9I4MeG2AUk2Bv4NeBxwIfCdJMdW1dmjrZmkheKJWZJmz9hoPS9IGW+LfX7f0PqNLyRpZTA2kjTu/L9FWjom3DZsR+DcqjoPIMkRwO7AkgdOkz402LjXT5IkAcsgNoLZxQ/28J7ZSo/NRtn+lb7vSdIyMzaxkSRJGi0Tbhu2NXBBz+sLgQePqC5jbdRXEUuSJovf+2PL2GiJeLGVpmNCTpLGyrKKjVby+dfzpyRpsaWqRl2HsZbkacAuVfWC7vWzgQdX1X498+wL7Nu9vAfwoyWv6PKzBXDZqCuxiCa5fZPcNpj89g1r0rfPJLdvktsGC9e+u1TVqgVYz8SaTWzUlRsfzY3H6PI2ye2b5LYthEnfPrZv+TI2WiLGRovKY3T5sn0r16RvG9u3vC1E+2aMjezhtmEXAdv2vN6mK7tBVR0EHLSUlVrukpxaVWtGXY/FMsntm+S2weS3b1iTvn0muX2T3DaY/PaNmQ3GRmB8NFeTvg/bvuVrktu2ECZ9+9i+5WuS2zaGjI0WySTvx5PcNrB9K9mkbxvbt7wtRfs2WsyVT4jvANsnuWuSTYE9gWNHXCdJkqRRMTaSJElaz9hIkiQB9nDboKq6Nsl+wBeBjYFDquoHI66WJEnSSBgbSZIkrWdsJEmSpphwm4WqOg44btT1mDCTPozCJLdvktsGk9++YU369pnk9k1y22Dy2zdWjI0WxaTvw7Zv+Zrkti2ESd8+tm/5muS2jR1jo0UzyfvxJLcNbN9KNunbxvYtb4vevlTVYr+HJEmSJEmSJEmSNLG8h5skSZIkSZIkSZI0BBNumrckuyT5UZJzk+zfle3Xva4kW2xg+T26+e65NDWem2nat3OS05OckeQbSe4+w/KvSPL7JLdbulrPTpJDklyS5KyesgOSXNS17Ywku86w/A7dZ7fL0tR49pJsm+SrSc5O8oMkL+/K/zXJD5OcmeToJJvNsI6xbd8whjlmk5yU5H+TpKfsP5P8einqPhvDHLNJ1ib5el/ZGb3HyCgNc8wmOTTJb5Pctqfs3bP5nl4Kwx6z494+rSzGRsZG4xo7GB8NZmxkbNRTNlaxg/GRJskkx0fGRsZG49zG+Zrk+MjYyNhoKdpowk3zkmRj4N+AJwD3BvZKcm/gm8BjgfNnsZq9gG90f+fz/otmhvZ9EHhWVe0AfBJ4wwyr2Qv4DvCUOb53kiz2sXkoMCggeFdV7dA9Zhp/fmw/O+Ba4NVVdW/gIcBLus/uBOC+VXU/4MfA62ZYxzi3b14W6Jj9JfDwbn2bAVstTm3nboGO2dsm2bZb370WucpzdSjDHbPnArsDdN8vjwEuWvBazs9CHLPj3D6tEMZGxkaM6WfXMT7qY2xkbMR4xw7GR5oIkxwfGRsZGzH+bZyzSY6PjI2MjViiNppw03ztCJxbVedV1R+AI4Ddq+q7VbV2QwsnuQ3wCOD5wJ495TslOTnJF7orDj40FUQk+XWSdyT5HvDQxWhUj4HtAwr4k26e2wE/H7RwkrsBt6F9Se/VU75PkmPSrvj4SZI3duWru/YeDpwFbLtYDQOoqpOBK+azbJIATwf2AR6X5BZd+eruioJPJDknyWeS3KqbtjbJ25Kc3i27aKpqXVWd3j2/GjgH2LqqvlRV13azfQvYZjm2bwhDHbOdI1h/vD4F+OzUhCS3SXJi2lVB308ydQJ7U5JX9Mz3lnRXoSywoY7ZzqeBZ3bP9wI+NTWh+/y/3rXv9CQP68oPT7JHz3yfmGr7QhrmmO0cwfq27UQLlqeOh6krzk5Lu0po367seUne3TPPC5O8a4g6DDTsMdsZ2/ZpRTE2MjbahzGNHYyPBjI2MjYa29jB+EgTZJLjI2OjaSyHuMHYaFqTHB8ZG81srOOG5RQbmXDTfG0NXNDz+sKubLZ2B46vqh8Dlyd5UM+0HYGX0q42uBvrr/S5NXBKVd2/qr4x75rPznTtewFwXJILgWcDB06z/J60g/jrwD2SbNkzbUfgqcD9gKcnWdOVbw98oKruU1WzuWJkMeyX1gX3kCSbTzPPw4CfVdVPgZOAJ/ZMuwetDfcCrgJe3DPt8qp6YFUdsRgVHyTJauABwCl9k54H/Nc0iy2b9s3RsMcswInAI9OuCtoTOLJn2u+BJ1fVA4FHA+/oAtBDgOfADVeP7Al8fF4tmNmwxyzAUaz/vnkS8LmeaZcAj+va90zgvV35wbQAm7RhQB4GfGGYhszRbI5ZaFf5rOrm2Yv2/dTreVX1IGAN8LIkd6AFkk9KcrNunufSPs9FM89jFpZJ+zTxjI2MjZZF7GB8dANjI2OjZRE7GB9pmZvk+MjYyNho2bRxDiY5PjI2MjZakjaacNOo9O7UR3Dj7tff7q42uI52pcAjuvLraF9so/RKYNeq2gb4d+Cd08y3F3BEVV1Pq3PvlSsnVNXlVfU72lUeU+07v6q+tUj1no0P0oLUHYB1wDummW+mz+6Cqvpm9/zjrG8b3PgEu+jSroQ7CnhFVV3VU/4PtKsXPjHNosuifSNyHW24hD2BW/Zd3RTgrUnOBL5MC1q27Oa5PMkDgL8EvltVly9hnWd7zAJcDlyZZE/alTK/7Zl2M+AjSb4P/Aftnzqq6mvA9klW0faVo3qurFlssz1mp3yW9tk9mPZPXa+XpV0B+i3alZLbV9Wvga8Au6XdL+FmVfX9Baz/jQxxzE4Z6/ZJs2BsZGy06IyPFpyxkbHRosYOxkfSsoyPjI2WUdxgbLQollt8ZGy03tjHDcshNtpkDu2Rel3Ejbuvb8MMY54m+SKwJXAq8Pe0MVL/PEkBGwOV5DXd7NW3+NTr33eB1FIY1L6LgSdU1VT2/Ejg+O6KjdO6smNpX6rbAye0izTYFPgZ8P5ununa95uFbMBcVdXFU8+TfAT4fPf832lXDfycdvXGU4Hduy+yAHfI+htOTtc2WML2dVcdHAV8oqp6u67vA+wG7FxV1ZUtu/bN07yP2ap6Qc+kI4CjgQP6FnkWsAp4UFX9Mcla4BbdtI/Srua5E4t3pcu8j9mq+qee5Y6kjem9T9/6X9mt7/60i1V+3zPtcOBvaCfs5w7dklmazTFbVb03xD2S1u7Dqur67vuJJDvRxmJ/aFX9NslJ3Pizez3wQ1rguSjme8wul/ZpxTA2MjYa69jB+OgmjI2MjcY6djA+0oSY5PjI2MjYaOzbOA+THB8ZGxkbwVK0sap8+Jjzg5asPQ+4Ky0w+B5wn57pa4Etpll2X+DDfWVfAx5JGz/1d916NwK+CDy1m+fXI27f/YHLgD/r5nk+7aqE/mXfCryur+xnwF1oX8Y/B24P3BI4k9ZNdTVw1hJ/hjd6T2CrnuevpF1p1b/MXwJf7Cs7jNbtezUtiHhoV/5R2s0sZ9wfFqFdoZ3I3t1XvgtwNrBqhmXHvn0LvE/P6pjtpp/U7asB/m5q3qnjEng58L7u+aO7bbW6e70p8KPu/TdewvbN6pjtbT9wW+C13TpuOEaAd/V83s8FqmfZLWk3Dj5lkT/DOR+z3bRDgad1z18E3K2vzbsDn+vK7kkLCnfqWf502rALmy9Su+Z9zC6H9vlYOY9hvmcxNjI2Wvy2GR/Nbp82NuprP8ZGI4kdhjlml0sbfayMxzDftYx5fDTM9yzGRiOPG4b5nl0ubVzA/Xoi4qNhjtnetmNsZGy0gbo6pKTmpVrX1/1oQc05wKer6gdJXpY25u02wJlJPjpg8b1oVzn0Oor13a+/Q7uq5xxawNE/76Kbpn3fA14IHNV1L3028JoBi+/JTet8NOtvGPptWnvPpH2Jn7rwLZhZkk8B/0MbJ/zCJM8H/l/aDUvPpJ30Xjlg0Q19dj8CXpLkHGBzWtflpfZw2mfzmCRndI9dafvUbWlXkJ2R5EMDll0O7ZuXIY/Z3vVUVb29qi7rm/QJYE3Xdf45tKs+ppb5A/DV7j0X5UrDIY/Z3vVcXVVv6+rc6wPA3t167knPVWnVrhg6h8XtATbfY/ZGqurD1caY73U8sEm3Xx9I6zrf69PAN6vqyqEbMtgwx+yNjGn7tEIYGxkb9RjH2MH4qI+xkbFRV9dxjR2MjzQRJjk+MjYyNuorG8c2ztkkx0fGRsZGUxa7jekydNJY6Lpv/l1V7TbquiyGrovrmqrab9R1WWhpN6z8fFXdd8RVWRST3r7FlHbD29OBp1fVT0Zdn4WW5FbA94EHVtWvRl2fhZbk88C7qurEUddlMUx6+7T8GRstXyshdlgJbVwMxkbL20qIHVZCG7W8TXJ8ZGy0vK2ENi6WSY6PjI2Wv7m00R5ukqRFk+TewLnAiZMWMAEkeSztKqX3TVrQlGSzJD8GfjeJQdOkt0+SNJ6MjZavlRA7rIQ2SpLGzyTHR8ZGy9t82mgPN0mSJEmSJEmSJGkI9nCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZIkSZIkSZIkSRqCCTdJkiRJkiRJkiRpCCbcJEmSJEmSJEmSpCGYcJMkSZIkSZIkSZKGYMJNkiRJkiRJkiRJGoIJN0mSJEmSJEmSJGkIJtwkSZIkSZIkSZKkIZhwkyRJkiRJkiRJkoZgwk2SJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgm3CRJkiRJkiRJkqQhmHCTJEmSJEmSJEmShmDCTZLGXJJDk1SS1aOuiyRJ4yDJTt258YBFfI/V3XsculjvoSbJPt223mfUdRlWkpOS1KjrIUmSJGnpmXCTtGS6H1IG/gCR5O5JftrN89alrttCSrI2ydpR10OSNNmS3DPJ+5KcleRXSf6Q5OdJvpDk+UluPuo6SprZOMaNXTx+0gKuzySkJEmSVoRNRl0BSUryIOA4YAvgpVX1/hFXSZKksZbkn4A30i6g+x/gMODXwJbATsBHgf8LrBlRFSfBRcC9gF+NuiIrwNHAt4B1o66IJEmSJM2XCTdJI5XkccBngU2BPavqP0ZcJUmSxlqS1wP/DFwAPL2qThkwz27Aq5e6bpOkqv4I/HDU9VgJqupXmNiUJEmStMw5pKSkkUmyF/B54Hpgl/5kW5LbJXlNkq8kubAbKuvSJMcmeeg066xu2Jo7JflokouSXDd1T5Ce6VskOSjJuiTXJPlBkucOWN+mSfZLclyS87t5r0jy5SRP6Jt3p264nLsAd5kaQrP//i9J9kjy8SQ/TvKb7nFakpclmfX3cpL7d+27qktczmubSZKWj+5+jbJqcgAAIABJREFUngcAfwR2HZRsA6iqzwO79C27T5KjkpyX5Hfd+eObSf5mmvf60+5ceW43/xVJvp/kQ0nuMGD+vZJ8Nckvk/w+yTlJ3jBoaMsk/yfJ57pz1TVJfpHkW0neOI9t8tDuvPyrJFcn+WKSgT37kmyS5MXde12V5LdJvtud6zfqm3fgPdzSc2/VJC/qtsnvk1zcba/bTfPej++292+6bfmfacOCzulerV0cU12M8k9JftRtw0N75tkmyfu7z/qaJJd3scBfDFjfnbv1fLP7HKaGJv1kkntPU4e/SnJiTxz18yRfS/LivvlmtQ9lhnu4zWW79X5m3fMjklzWfT6npiWip9uus95/u/n3TIvffpfkkiQfS3Ln6dY/YPlZxY3dvDsnOb5r/zVpMeSB0+1r07zfpmmx5ulJruz2/bVJjkny2G6efbJ+6MdH9dXpgJ51zeq7ZOrzAB7Vve5d30l9885ln71tkn9MG073qrTj/qdJjkwbOUOSJEkaCXu4SRqJJC8H3gVcDDyhqs4YMNu9gLcAJwNfAK4EtgP+CnhCkidV1fEDlrs9bViiX9N6z13fvc+UzYBvAn8APgPcHHg6cEiS66vqsL51vQf4b+AE4FJgK+BJwHFJXlhVH+3mXUvrcfCK7vW7e9bT274DuzqdQhuu6nbAY7r3+Qvg2QPadCNJdu7a9hvgkT3bb77bTJK0PDwXuBlwRFWdNdOMVXVNX9EHgR/QzhHrgDsAuwIfS3KPqvrHqRmTbAV8B/gT2rDPRwG3AO5KO0+9H7i8Z/5Durpd2M37S+AhwL8AOyd5XFVd2827C+0cdRVwLO1ceHvaOezFtHPpbD0YeB3wZeDfgLsDTwEemeQvq+rrPXW8GfA54PHAj4BPAr8HHg28r1vXBs/BPf5ft67PAV/q1vPCrg6P6Z0xyZ497/dp2vZ/GG040O/N4T17HUWLG/4L+E/gku69HtjV5/bAF2nxwhbAHsA3kjy5qo7rWc8jgf2Br3br/DWwPfA04K+SPLyqbqhjkn2BDwO/6Np+GXBH4H60feAD3Xxz2ocGGWK73QX4NnAe8LFuWzwTOCbJY6vqq33vM+v9t5v/lcA7u/kO7/4+nhYvzran3lpmETcmeRHt2P0N8B+0z3kn4LXAk7rP55ezeL9Dgb2As7o6/w64M/AIWnL+y937/jNtuNrzu2WmnNTzfLbfJb/s1rcP7TPpPbbX9rRx1vtskgDHs34/+ChwLbAN7Rj8OnDaLLaHJEmStPCqyocPHz6W5AFU9ziw+/tj4K4zzH87YIsB5dsAPwfOmeE9Dgc2mWH6R4GNe8rvTftn/ey++W8ObDNN3c4CrgBu2TdtLbB2hnbdbUDZRrT77xTw4L5ph3blq7vXf0NLFp4N3GXYbebDhw8fPpbPAzixOye8YB7LDjr/bNqt84/A1j3lL+3e5+UDlrl177mP9mN60X4k7z8nHtC/HlpCo4D7D1j3Tc5h07Rlp55z+n5903bvyn8CbDSgLu/riwE2Bg7upu3eU766Kzu0b/1T5+X/BbbrKd+EloAoYMee8tvSLoC5pr/NrI+JbjjPz6LtJ3Xzn9m/vbo6nEtLUD2qb9qdacnNdcDNe8rvCNx2wPvcn5Z8+6++8tO6ttxxps9vnvvQPsNst57PrIA39i3z+K78uL7yue6/q2lx2BV9770R6/ftmsNxuZZp4kZakuoaWnL6nn3TPtC910GzeI/b0S72OpWefb9n+h36Xhdw0gzrm/V3Se8+O8265rTPAn/e1e/oAevaCNh8ttvehw8fPnz48OHDh4+FfjikpKRReC3tn/Fdqupn081UVb+qqssGlF9I65l2zyTbDVj0D8DfVc+VyH1+C7yqqq7rWefZtF5v90pym57ya7r3u0ndgEOAzWlXl89aVf10QNn1tB5u0H4QGijJ/rRk4inAw6vq/P56zXObSZKWh626vzc5N23INOefP9B6hm0C7Dxgsd8NWOY3VdVb/nLaRSvP6yuH1kPocuBZs1z3Tc5hG3AuXY+qnnUcA3yN1tPs/wCkDRf5UlqvrFf2xQDX0e53V9PUczpvqqr/7VnPtcC/dy937Jlvd1rv+k9UT0+xzptpvYDm4x8HbK8nAncD3ldVX+udUFU/p/XKuxM9n3VVXVJVV/evvKvrV4BHd70De11Li+X6lxn0+c1mHxpkmO12fjdP73t+kZYk3bFv3rnuv8+i9TJ9X1Wt7Vn/9cBraImthfI3tETW+6uq/36C/wBcDTx7umEvexQQWvLuJvWrqhl7Gg6Yfz7fJdOZ8z7bGbRfXV9VV87hvSVJkqQF5ZCSkkbhi7Sk0ieT7FIzDIOT5OG0H0IeSrsCe9O+Wbam/XjSa21VXTLD+/+kqq4aUH5B93dz2hXdU3W4D+0HlEfSfui8xYA6zFraPUteQxt6509pV3nPZn3vog2tcxTwN1X1+2nWP59tJkmacN0FF6+l/XC9HXDLvll6zz/HAm8F/i3J42nn7m/SeoJP3eOJJLei9YS6DHhFG+3tJq6hDRc55RO0YR9PSXIkbSjDbw66wGUWvt4lOvqdRLtv1ANoybc/ow1X9xPgDdPU83d99dyQUweU9cYSUx7Q/f1G/8xV9eskZ9B67M3VtweUTd2v9S6999zqsX339160YR4BSPJE4G+BNbSh/Pr/T9yC1ssI2uf3DuDsJEfQtu83q+rSvmVmtQ/NYJjtdkZvUrXHBazfRvPdfx/Y/f1a/4xVdV6SC2g90xbC1Ht9ZcB7XZnku7T49J7MMMRmVV2V5HO0IdHPSHIUbejFU6rqt3Ot1By/SzZkrvvs2bShL/dKchfgGNo+cmqX9JMkSZJGxoSbpFHYnXYfjr8CvtLdF+MmV9YmeTKtV9bvafdP+ynt/hXX035geRRtyMd+v9jA+0+X4JvqEbdxTx0eQvuRYxPaMDnH0ob1uR7YoWvLhq4qvkGSzWj3M7kr7Yeyw2lDEl1Lu4r75TOs75Hd38/PkGyb7zaTJC0P62g/PM/1Yo8/pZ13Nqf90P4l2r2mrqMNkbc3PeeHqjo/yY60IfV2oSXIAC5I8vaqem/3enNaz5lVtPs+bVBVfTbJbrReZc8DXtTV8TTgdVV1whyadvE05VOxwO26v3fo/m6/gXreZoZp/QbFEzeJJXrqMF1dpyvfkEHxzlQ7n76BZW9oZ3df3XfThm88gXZRzm9pvaL2oCWkeveNdya5jHa/vZfR7kFWSb4GvKaqTu3mm+0+NJ1htttMsV7vKC9z3n9nUa9fsHAJt6n3WjfN9KnyzWaxrmfSkmR/zfp7qf0+yWdoI0PMaj+c63fJLMxpn62q65I8Bvgn2n0G39ZNvzrJYbTvkF9Psw5JkiRpUZlwk7TkquqaJE+lXSH9DOCk7gb2/f/o/wtteMg1VXVO74QkH6Yljwa+xQJW9w20q3YfXVUn9dXhdbSE21y8gJZs++eqOqBvfQ+lJdymswdtGMuDk9ysqj4yYJ75bjNJ0vLwDeAxtJ4lB89huVfRfth+blUd2jshyV60H8lvpDuPPDPJJrSky2NpwzK+J8lvqupg2g/tAN+tqgf2r2M6VfUF4AtJbg08GNgN+L/A55M8oBvqeTa2nKb8Tt3fX/X9PbqqnjJg/sU01at+urpOVz6jaXqJTbVz96o6dkPr6D7bA2hJogdW1bq+6Q8dtFxVHQ4c3l1I9DDgybTk6ReT3HOqt9ss96HpLMp26zOf/XdqmS2BHwyYfqcBZfM19V53mua9tuqbb1rdcJkHAAck2ZZ2Idc+tGErV9MNvzoLc/4u2YA57bPQevcBrwRemeTutPj2RcB+tOTjs+dYB0mSJGlBeA83SSPR3efkr2k9vO4LnJxkm77Z7k4bdqg/cbQR8IglqWirwxX9ybbOdMmr67jxle3964M2LORs1zflAtqPIz8CPpzkJdOsf9TbTJK0eP6ddu+spya590wz9t3Xad7nn6q6tqpOq6q3AXt1xXt0035NSwTcJ8ntZ1H//nX/pqq+UlWvog0/uCnwhDms4hHdOa7fTt3f73Z/f0jr9fSQAfcjW2xTdbjJebi7b+wOC/he3+r+zjZ5sgUtQfHfA5Jtt2H9kIYDVdUvq+q4qnohcCht2M5HDphv2n1oBou+3ea5/57e/b3JcdP1/tp2jtWYKW6c2gY7DXivzWjb4PfAOf3TZ1JVF1TVJ2hDvJ9LO47u0DPL9TPUaT7fJdd1dR60zrnuszdSVed2idtH0YaEn+vFcJIkSdKCMeEmaWS6e2vsA3yYdm+Vk5Os7pllLbB9kjtPFaTdXOMAYMYfGRfQWuD2Se7XW5jk+bQfKQa5HFiVpP9+FlPrg74fTpI8AHjdhirT/Rj2KOD7wPuTvHrA+ke9zSRJi6Sq1tK+0zel9RBbM2i+JLsA/9VTtLb7u1PffI+n9b7uX/5BSW7XX876XkW99316Z1efQ7okQP+6Nk/ywJ7Xj+x6PM1m3RuyPW1ow9732512rjyXNuTd1IU+76P1CHrvoHN0kq02lMScp2NovXieleT+fdPewOyGA5zLe/0UeEmSXQfNkOSh3b3LAC6hbe8HdUmsqXluBryHlpDrX/7RGXyzszt2f3/bzTeXfWi6tizFdpvT/ksboeGPwEt749Yu8fuvzP1/7Jnixo/3vNfd+6b9C/AnwMer6pqZ3iDJqiR/PmDSrWlDNV5LGyGht07TJQ7Xdn936nuPgd8lPeuDdr+3fnPaZ5PctUts9tucNpTl76apgyRJkrToHFJS0kh1wyH9bZLf0e4BcnKSnavqJ8C7gA8B3+1u7v5H4OG0xNHUjd8X27tpibVvJPk07YefNbSrrT9Du3dEvxOBvwCOT3IycA3wvar6HK1H32uAdyd5NPAT2o+FuwGfpd1fY0ZVdWm37BeBtye5RVW9pZs8DttMkrSIquqtXcLqjcB3kvw3cCqtd8eWtB5G23dlUz4APBf4j+6eTT+n9TDfhXZf1f7zz7OBFyX5Bu3H8CuBu9HOI9fQzo9T9TkkyYNoia+fJvki7T5gt6cNo/xIWs+8v+0WeS+wdZJv0n68/wPwINpQmecDR8xhcxwPvCPJE4Dv0XrfPIXW6+d5VXV9z7z/QhvW8G+BJyX5CnARLVG0Pe18+Q/AbIeznJWquqrrlf4x4L+7eGIdbSjG+wNfoyUIr59+LbN+rz8meQotRvhCt2+cQUtubUuLT/6Ulnj8bVVdn+S9wP7A95McQ0s+PZr2+X21e97raODXSb5F+/xC6530F8BpwJe7+Wa9D03TliXZbnPdf6tqbZL9gXfQ4q0jafHh42lJwDOB+93kjaY3bdzYvdcrgH8DTu+2waVdux9K67n52lm8x9ZdXb/f1e8CWrJuN9pwle+tqqv76rRnks/RevT9ETi5qk5m7t8lU+t7OvDZJMfRkmLnV9XH5rrP0j77zyb5Dq1n389p9+DbHbgZ6+/pJkmSJC05E26SxkJVvTLJb4HX05Juj62qDye5hpaI25v2z/nXaf/kP5UlSB5V1fFJnkS7kvqZtCFxvk378elPGZxwezPtB5cn0X682xg4DPhcVf08yf8BDqQl7R5P+7HkxbQfqDaYcOvqdUWSnWm9F97cJd3+cRy2mSRp8VXVm5L8B+388Wja9/wtaD1JzqD96PzxnvnP7C7WeDPwRNr/Ad+jJad+yU3PP5+i9RZ5GC0ZdktacuoI4B1VdVZffV6S5L9oSYnH0s6DV9ASF//aWxfa0JFPpl3A8lhawuR/u/J3d/dnmq1TgDfRkmn70ZI/XwH+oaq+01fHPybZg3bPqn1oyYbb0BIYPwP+kdZ7acFV1SeSXNG9xzNpSZWTaUmTt3ezXTXN4nN9rzO7HmGvorXxubRtvI42ROEbgct6FvlH2jZ4Ae0+WL8CTqDFPv884C32p8UvDwR2pSU3z6clfj5YVX/s5pvTPjRNW5Zku81x/6Wq3plkHe0iqn2Aq2kJo78HPjnHt582buze6wNJzgX+jhbL3YqWMPtX4K1V9ctZvMda2ue+E+37YouufT+ifZ79Se6X0+6JvDPtM96Iti+cPI/vEoCPAncB9qRto01oCdOPdW2cyz57Ki2OfhQtybc5bf89jZY47O3ZK0mSJC2pDL7XtiRJkiRpMXX3tDoP2LSqthp1fZYLt5skSZKkceQ93CRJkiRpESXZrOe+aVNlofUi2442TKP6uN0kSZIkLSf2cJMkSZKkRZRkF+BI4Eu04f1uAzwE2IE2POCaqrpkZBUcU243SZIkScuJCTdJkiRJWkRJ7kq759XDgVW0e1hdCHyedh+ui0dYvbHldpMkSZK0nJhwkyRJkiRJkiRJkobgPdwkSZIkSZIkSZKkIWwy6gpMmi222KJWr1496mpIkqR5OO200y6rqlWjrsekMT6SJGl5MjaSJEmaPRNuC2z16tWceuqpo66GJEmahyTnj7oOk8j4SJKk5cnYSJIkafYcUlKSJEmSJEmSJEkaggk3SZIkSZIkSZIkaQgrLuGW5JAklyQ5q6fsgCQXJTmje+zaM+11Sc5N8qMkjx9NrSVJkiRJkiRJkjSuVlzCDTgU2GVA+buqaofucRxAknsDewL36Zb5QJKNl6ymkiRJkiRJkiRJGnsrLuFWVScDV8xy9t2BI6rqmqr6GXAusOOiVU6SJEmSJEmSJEnLziajrsAY2S/Jc4BTgVdX1ZXA1sC3eua5sCuTJElDWr3/FwaWrz3wiUtck5UtyS2Ak4Gb02LDz1TVG5PcFTgCuANwGvDsqvpDkpsDhwMPAi4HnllVa0dR9+n2IUmSVhrjJ0mSpNFbcT3cpvFB4G7ADsA64B1zWTjJvklOTXLqpZdeuhj1kyRJWizXAI+pqvvTYqFdkjwEeBttyO27A1cCz+/mfz5wZVf+rm4+SZIkSZKkFc2EG1BVF1fVdVV1PfAR1g8beRGwbc+s23Rl/csfVFVrqmrNqlWrFr/CkiRJC6SaX3cvb9Y9CngM8Jmu/DBgj+757t1ruuk7J8kSVVeSJEmSJGksmXADkmzV8/LJwFnd82OBPZPcvBtWaXvg20tdP0mSpMWUZOMkZwCXACcAPwV+WVXXdrP0Dqu9NXABQDf9V7RhJ/vX6QgAkiRJkiRpxVhx93BL8ilgJ2CLJBcCbwR2SrID7WrutcCLAKrqB0k+DZwNXAu8pKquG0W9JUmSFksX3+yQZDPgaOCeC7DOg4CDANasWVPDrk+SJEmSJGmcrbiEW1XtNaD44BnmfwvwlsWrkSRJ0nioql8m+SrwUGCzJJt0vdh6h9WeGnL7wiSbALcDLh9JhSVJkiRJksaEQ0pKkiS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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "hcNI6pePKwfQ", "colab_type": "text" }, "source": [ "###Growth Rate in top 15 States in India" ] }, { "cell_type": "code", "metadata": { "id": "fzLuFMXccoXQ", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 773 }, "outputId": "e90b4107-09d8-4f8c-b37e-82a5f88c4b80" }, "source": [ "def calc_growthRate(values):\n", " k = []\n", " for i in range(1,len(values)):\n", " summ = 0\n", " for j in range(i):\n", " summ = summ + values[j]\n", " rate = (values[i]/summ)*100\n", " k.append(int(rate))\n", " return k\n", "\n", "fig = plt.figure(figsize= (25,17))\n", "plt.suptitle('Growth Rate in Top 15 States',fontsize = 20,y=1.0)\n", "k=0\n", "for i in range(1,15):\n", " ax = fig.add_subplot(5,3,i)\n", " ax.xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))\n", " #ax.bar(states_dates[states[k]],states_confirmed[states[k]],label = 'Day wise Confirmed Cases ') \n", " growth_rate = calc_growthRate(states_confirmed[states[k]])\n", " ax.plot_date(states_dates[states[k]][21:],growth_rate[20:],color = '#9370db',label = 'Growth Rate',linewidth =3,linestyle='-') \n", " plt.title(states[k],fontsize = 20)\n", " handles, labels = ax.get_legend_handles_labels()\n", " fig.legend(handles, labels, loc='upper left')\n", " k=k+1\n", "plt.tight_layout(pad=3.0)" ], "execution_count": 47, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "AMm-CFdm4MEV", "colab_type": "text" }, "source": [ "Though being highly populated the relative confimred cases of India is low compared to other countries. This could be because of two reasons:\n", "- 67 days lockdown imposed by prime minister Narendra Modi in several stages (Source : [Health Ministry](http://www.indiatoday.in/india/story/without-lockdown-india-would-have-2-lakh-covid-19-cases-by-now-health-ministry-1665903-2020-04-11))\n", "- Low testing rate (Source: [news18](https://www.news18.com/news/india/with-just-18-tests-per-million-of-population-why-indias-low-testing-rate-for-coronavirus-is-worrying-2552845.html))" ] }, { "cell_type": "markdown", "metadata": { "id": "IDONbvBOzlMh", "colab_type": "text" }, "source": [ "###Exploring different types of hospital beds available in India during lockdown" ] }, { "cell_type": "code", "metadata": { "id": "hgzZxO2-c9BG", "colab_type": "code", "colab": {} }, "source": [ "cols_object = list(hospital_beds.columns[2:8])\n", "\n", "for cols in cols_object:\n", " hospital_beds[cols] = hospital_beds[cols].astype(int,errors = 'ignore')\n", "\n", "hospital_beds = hospital_beds.drop('Sno',axis=1)" ], "execution_count": 48, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "cpQdBtdXzbPr", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "07b9a286-cc98-4fd1-ae9d-8d0950c9175a" }, "source": [ "hospital_beds.head(36)" ], "execution_count": 49, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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State/UTNumPrimaryHealthCenters_HMISNumCommunityHealthCenters_HMISNumSubDistrictHospitals_HMISNumDistrictHospitals_HMISTotalPublicHealthFacilities_HMISNumPublicBeds_HMISNumRuralHospitals_NHP18NumRuralBeds_NHP18NumUrbanHospitals_NHP18NumUrbanBeds_NHP18
0Andaman & Nicobar Islands274NaN3341246275753500
1Andhra Pradesh141719831.02016666079919364806516658
2Arunachal Pradesh12262NaN151992320208213610268
3Assam100716614.033122019115117610944506198
4Bihar20076333.04321461779693060831035936
5Chandigarh4021.04473756004778
6Chhattisgarh81316612.0321023143541695070454342
7Dadra & Nagar Haveli921.0113568102731316
8Daman & Diu42NaN28298524000
9Delhi534259.047615205720010924383
10Goa3142.03402666171405251608
11Gujarat177038544.0372236411293641171512220565
12Haryana50013124.028683138416096690594550
13Himachal Pradesh5167961.01567187067055665966734
14Jammu & Kashmir70287NaN2981811342567234764417
15Jharkhand34317913.02355874045195842364942
16Karnataka2547207147.04229435633324712107237449093
17Kerala93322982.0531297395119811686529921139
18Lakshadweep432.0110250930000
19Madhya Pradesh142032472.0511867381403341002011718819
20Maharashtra2638430101.0703239689982731239843839048
21Manipur87171.091142562237307697
22Meghalaya13829NaN1318045851431970142487
23Mizoram65103.0987231256604341393
24Nagaland13421NaN11166194421630151250
25Odisha136037727.0351799164971655633914912180
26Puducherry4045.04534462396113473
27Punjab52114647.02874213527510580517212128
28Rajasthan246357964.0333139518446022108815010760
29Sikkim2521.043211452426091300
30Tamil Nadu1854385310.0322581726166924017952537353
31Telangana7888247.0159321735880276686113315
32Tripura1142212.091574895991140563277
33Uttar Pradesh3277671NaN17441225831044423910419337156
34Uttarakhand2756919.02038366604103284505228
35West Bengal137440670.05519055116312721968429458882
\n", "
" ], "text/plain": [ " State/UT ... NumUrbanBeds_NHP18\n", "0 Andaman & Nicobar Islands ... 500\n", "1 Andhra Pradesh ... 16658\n", "2 Arunachal Pradesh ... 268\n", "3 Assam ... 6198\n", "4 Bihar ... 5936\n", "5 Chandigarh ... 778\n", "6 Chhattisgarh ... 4342\n", "7 Dadra & Nagar Haveli ... 316\n", "8 Daman & Diu ... 0\n", "9 Delhi ... 24383\n", "10 Goa ... 1608\n", "11 Gujarat ... 20565\n", "12 Haryana ... 4550\n", "13 Himachal Pradesh ... 6734\n", "14 Jammu & Kashmir ... 4417\n", "15 Jharkhand ... 4942\n", "16 Karnataka ... 49093\n", "17 Kerala ... 21139\n", "18 Lakshadweep ... 0\n", "19 Madhya Pradesh ... 18819\n", "20 Maharashtra ... 39048\n", "21 Manipur ... 697\n", "22 Meghalaya ... 2487\n", "23 Mizoram ... 1393\n", "24 Nagaland ... 1250\n", "25 Odisha ... 12180\n", "26 Puducherry ... 3473\n", "27 Punjab ... 12128\n", "28 Rajasthan ... 10760\n", "29 Sikkim ... 1300\n", "30 Tamil Nadu ... 37353\n", "31 Telangana ... 13315\n", "32 Tripura ... 3277\n", "33 Uttar Pradesh ... 37156\n", "34 Uttarakhand ... 5228\n", "35 West Bengal ... 58882\n", "\n", "[36 rows x 11 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 49 } ] }, { "cell_type": "markdown", "metadata": { "id": "ViVzzfuX0ZTF", "colab_type": "text" }, "source": [ "###Exploring top 10 States in each health facilities" ] }, { "cell_type": "code", "metadata": { "id": "KH8DoiqgdEfY", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 663 }, "outputId": "315e765a-fc26-49ba-e464-93b71c583515" }, "source": [ "hospital_beds['NumPrimaryHealthCenters_HMIS'].astype(str).astype(int) #df['purchase'].astype(str).astype(int)\n", "top_10_primary = hospital_beds.nlargest(10,'NumPrimaryHealthCenters_HMIS')\n", "top_10_community = hospital_beds.nlargest(10,'NumCommunityHealthCenters_HMIS')\n", "top_10_district_hospitals = hospital_beds.nlargest(10,'NumDistrictHospitals_HMIS')\n", "top_10_public_facility = hospital_beds.nlargest(10,'TotalPublicHealthFacilities_HMIS')\n", "top_10_public_beds = hospital_beds.nlargest(10,'NumPublicBeds_HMIS')\n", "\n", "plt.figure(figsize=(15,10))\n", "plt.suptitle('Top 10 States in each Health Facility',fontsize=20)\n", "plt.subplot(221)\n", "plt.title('Primary Health Centers')\n", "plt.barh(top_10_primary['State/UT'],top_10_primary['NumPrimaryHealthCenters_HMIS'],color ='#87479d');\n", "\n", "plt.subplot(222)\n", "plt.title('Community Health Centers')\n", "plt.barh(top_10_community['State/UT'],top_10_community['NumCommunityHealthCenters_HMIS'],color = '#9370db');\n", "\n", "plt.subplot(224)\n", "plt.title('Total Public Health Facilities')\n", "plt.barh(top_10_community['State/UT'],top_10_public_facility['TotalPublicHealthFacilities_HMIS'],color='#9370db');\n", "\n", "plt.subplot(223)\n", "plt.title('District Hospitals')\n", "plt.barh(top_10_community['State/UT'],top_10_district_hospitals['NumDistrictHospitals_HMIS'],color = '#87479d');" ], "execution_count": 50, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "_9FROa2Q0s4y", "colab_type": "text" }, "source": [ "###Exploring Urban and Rural Healthcare Facility" ] }, { "cell_type": "code", "metadata": { "id": "KqH42w8idmOL", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 663 }, "outputId": "6862eb50-08e5-456b-f391-2c04f6de8822" }, "source": [ "top_rural_hos = hospital_beds.nlargest(10,'NumRuralHospitals_NHP18')\n", "top_rural_beds = hospital_beds.nlargest(10,'NumRuralBeds_NHP18')\n", "top_urban_hos = hospital_beds.nlargest(10,'NumUrbanHospitals_NHP18')\n", "top_urban_beds = hospital_beds.nlargest(10,'NumUrbanBeds_NHP18')\n", "\n", "plt.figure(figsize=(15,10))\n", "plt.suptitle('Urban and Rural Health Facility',fontsize=20)\n", "plt.subplot(221)\n", "plt.title('Rural Hospitals')\n", "plt.barh(top_rural_hos['State/UT'],top_rural_hos['NumRuralHospitals_NHP18'],color = '#87479d');\n", "\n", "plt.subplot(222)\n", "plt.title('Urban Hospitals')\n", "plt.barh(top_urban_hos['State/UT'],top_urban_hos['NumUrbanHospitals_NHP18'],color = '#9370db');\n", "\n", "plt.subplot(223)\n", "plt.title('Rural Beds')\n", "plt.barh(top_rural_beds['State/UT'],top_rural_beds['NumRuralBeds_NHP18'],color = '#87479d');\n", "\n", "plt.subplot(224)\n", "plt.title('Urban Beds')\n", "plt.barh(top_urban_beds['State/UT'],top_urban_beds['NumUrbanBeds_NHP18'],color = '#9370db');" ], "execution_count": 51, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "wwva8YCR04RQ", "colab_type": "text" }, "source": [ "###Exploring Statewise Testing Insights" ] }, { "cell_type": "code", "metadata": { "id": "qg6fpi1_dpFC", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 799 }, "outputId": "720cc99f-82d8-4c00-9ca7-bb2ef4c9ff81" }, "source": [ "state_test = pd.pivot_table(state_testing, values=['TotalSamples','Negative','Positive'], index='State', aggfunc='max')\n", "state_names = list(state_test.index)\n", "state_test['State'] = state_names\n", "\n", "plt.figure(figsize=(25,20))\n", "sns.set_color_codes(\"pastel\")\n", "sns.barplot(x=\"TotalSamples\", y= state_names, data=state_test,label=\"Total Samples\", color = '#7370db')\n", "sns.barplot(x='Negative', y=state_names, data=state_test,label='Negative', color= '#af8887')\n", "sns.barplot(x='Positive', y=state_names, data=state_test,label='Positive', color='#6ff79d')\n", "plt.title('Testing statewise insight',fontsize = 20)\n", "plt.legend(ncol=2, loc=\"lower right\", frameon=True);" ], "execution_count": 52, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "vR0KA9WQ2P0G", "colab_type": "text" }, "source": [ "###Number of ICMR Testing Centres in each state" ] }, { "cell_type": "code", "metadata": { "id": "wxgJ2Okndyyb", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 612 }, "outputId": "1a94562d-7778-4edc-ca6c-bd6e195b0691" }, "source": [ "values = list(ICMR_labs['state'].value_counts())\n", "names = list(ICMR_labs['state'].value_counts().index)\n", "\n", "plt.figure(figsize=(15,10))\n", "sns.set_color_codes(\"pastel\")\n", "plt.title('ICMR Testing Centers in each State', fontsize = 20)\n", "sns.barplot(x= values, y= names,color = '#ff2345');" ], "execution_count": 53, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "DSv7uqdz3Qhv", "colab_type": "text" }, "source": [ "##Let's Start with the predictions" ] }, { "cell_type": "code", "metadata": { "id": "3ikud0n8eV-U", "colab_type": "code", "colab": {} }, "source": [ "train = pd.read_csv('/content/train.csv')\n", "test = pd.read_csv('/content/test.csv')\n", "train['Date'] = pd.to_datetime(train['Date'])\n", "test['Date'] = pd.to_datetime(test['Date'])" ], "execution_count": 54, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "FzWVKIG98Gjn", "colab_type": "text" }, "source": [ "\n", "## Prophet\n", "Prophet is open source software released by Facebook’s Core Data Science team. It is available for download on CRAN and PyPI.\n", "\n", "We use Prophet, a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. \n", "\n", "## Why Prophet?\n", "\n", "* **Accurate and fast:** Prophet is used in many applications across Facebook for producing reliable forecasts for planning and goal setting. Facebook finds it to perform better than any other approach in the majority of cases. It fit models in [Stan](https://mc-stan.org/) so that you get forecasts in just a few seconds.\n", "\n", "* **Fully automatic:** Get a reasonable forecast on messy data with no manual effort. Prophet is robust to outliers, missing data, and dramatic changes in your time series.\n", "\n", "* **Tunable forecasts:** The Prophet procedure includes many possibilities for users to tweak and adjust forecasts. You can use human-interpretable parameters to improve your forecast by adding your domain knowledge\n", "\n", "* **Available in R or Python:** Facebook has implemented the Prophet procedure in R and Python. Both of them share the same underlying Stan code for fitting. You can use whatever language you’re comfortable with to get forecasts. \n", "\n", "\n", "## References \n", "- https://facebook.github.io/prophet/\n", "- https://facebook.github.io/prophet/docs/\n", "- https://github.com/facebook/prophet\n", "- https://facebook.github.io/prophet/docs/quick_start.html" ] }, { "cell_type": "code", "metadata": { "id": "VdK6PQfxfloi", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 289 }, "outputId": "0999fb00-943f-4677-bdad-04c3a540de97" }, "source": [ "!pip install Prophet" ], "execution_count": 55, "outputs": [ { "output_type": "stream", "text": [ "Collecting Prophet\n", "\u001b[?25l Downloading https://files.pythonhosted.org/packages/91/8d/2ed577196f58f9d7a93958ec650ffee35d42e81f430b1a44f0963eb83ce0/prophet-0.1.1.post1.tar.gz (90kB)\n", "\r\u001b[K |███▋ | 10kB 18.3MB/s eta 0:00:01\r\u001b[K |███████▎ | 20kB 2.1MB/s eta 0:00:01\r\u001b[K |██████████▉ | 30kB 2.6MB/s eta 0:00:01\r\u001b[K |██████████████▌ | 40kB 2.9MB/s eta 0:00:01\r\u001b[K |██████████████████ | 51kB 2.5MB/s eta 0:00:01\r\u001b[K |█████████████████████▊ | 61kB 2.8MB/s eta 0:00:01\r\u001b[K |█████████████████████████▎ | 71kB 3.1MB/s eta 0:00:01\r\u001b[K |█████████████████████████████ | 81kB 3.4MB/s eta 0:00:01\r\u001b[K |████████████████████████████████| 92kB 2.7MB/s \n", "\u001b[?25hRequirement already satisfied: pytz>=2014.9 in /usr/local/lib/python3.6/dist-packages (from Prophet) (2018.9)\n", "Requirement already satisfied: pandas>=0.15.1 in /usr/local/lib/python3.6/dist-packages (from Prophet) (1.0.5)\n", "Requirement already satisfied: six>=1.8.0 in /usr/local/lib/python3.6/dist-packages (from Prophet) (1.12.0)\n", "Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.1->Prophet) (1.18.5)\n", "Requirement already satisfied: python-dateutil>=2.6.1 in /usr/local/lib/python3.6/dist-packages (from pandas>=0.15.1->Prophet) (2.8.1)\n", "Building wheels for collected packages: Prophet\n", " Building wheel for Prophet (setup.py) ... \u001b[?25l\u001b[?25hdone\n", " Created wheel for Prophet: filename=prophet-0.1.1.post1-cp36-none-any.whl size=13236 sha256=ac09a7a1f997c13455cac60eba6dce073be20f16dc1d81b85bbe8d4a44aeff64\n", " Stored in directory: /root/.cache/pip/wheels/71/d7/4f/0ade9b5843362f84d39c21edbe6065032e388053c4ab0ab83e\n", "Successfully built Prophet\n", "Installing collected packages: Prophet\n", "Successfully installed Prophet-0.1.1.post1\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "TS0yf_Vf9I_P", "colab_type": "code", "colab": {} }, "source": [ "from fbprophet import Prophet\n", "from fbprophet.plot import plot_plotly, add_changepoints_to_plot\n", "\n", "k = df1[df1['Country/Region']=='India'].loc[:,'1/22/20':]\n", "india_confirmed = k.values.tolist()[0] \n", "data = pd.DataFrame(columns = ['ds','y'])\n", "data['ds'] = dates\n", "data['y'] = india_confirmed" ], "execution_count": 56, "outputs": [] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "fYfv8M_t9KAw" }, "source": [ "The input to Prophet is always a dataframe with two columns: **ds** and **y**. The **ds (datestamp)** column should be of a format expected by Pandas, ideally YYYY-MM-DD for a date or YYYY-MM-DD HH:MM:SS for a timestamp. The y column must be numeric, and represents the measurement we wish to forecast." ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "Y8lkvzK89KAx", "colab": {} }, "source": [ "# confirmed.columns = ['ds','y']\n", "# #confirmed['ds'] = confirmed['ds'].dt.date\n", "# confirmed['ds'] = pd.to_datetime(confirmed['ds'])" ], "execution_count": 100, "outputs": [] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "DLxYbOyT8sho" }, "source": [ "\n", "##4.1 Forecasting Confirmed NCOVID-19 Cases Worldwide with Prophet (Base model)\n", "\n", "Generating a week ahead forecast of confirmed cases of NCOVID-19 using Prophet, with 95% prediction interval by creating a base model with no tweaking of seasonality-related parameters and additional regressors." ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "jpeRYylm8shs", "colab": { "base_uri": "https://localhost:8080/", "height": 525 }, "outputId": "1e9aafc3-7a4f-4fe3-858a-915549904596" }, "source": [ "prop = Prophet(interval_width=0.95)\n", "prop.fit(data)\n", "future = prop.make_future_dataframe(periods=15)\n", "future.tail(15)" ], "execution_count": 59, "outputs": [ { "output_type": "stream", "text": [ "INFO:fbprophet:Disabling yearly seasonality. Run prophet with yearly_seasonality=True to override this.\n", "INFO:fbprophet:Disabling daily seasonality. Run prophet with daily_seasonality=True to override this.\n" ], "name": "stderr" }, { "output_type": "execute_result", "data": { "text/html": [ "
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" ], "text/plain": [ " ds yhat yhat_lower yhat_upper\n", "172 2020-07-12 697348.465834 678624.232988 718904.991332\n", "173 2020-07-13 709726.647806 690793.282702 730271.825285\n", "174 2020-07-14 722270.851262 701339.392512 744438.022151\n", "175 2020-07-15 735025.375278 714112.680870 758717.009017\n", "176 2020-07-16 745765.883205 720423.341785 771157.263120" ] }, "metadata": { "tags": [] }, "execution_count": 60 } ] }, { "cell_type": "markdown", "metadata": { "colab_type": "text", "id": "-SqLcBye8sh0" }, "source": [ "You can plot the forecast by calling the Prophet.plot method and passing in your forecast dataframe." ] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "oUYGT3YY8sh0", "colab": { "base_uri": "https://localhost:8080/", "height": 441 }, "outputId": "7106f37b-08c3-4d39-e096-263151f9b3e3" }, "source": [ "confirmed_forecast_plot = prop.plot(forecast)" ], "execution_count": 61, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "code", "metadata": { "id": "roCGb9FU_R95", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 441 }, "outputId": "acc3375e-efdd-4796-b317-314956c397d3" }, "source": [ "confirmed_forecast_plot =prop.plot_components(forecast)" ], "execution_count": 62, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [] } } ] }, { "cell_type": "markdown", "metadata": { "id": "OrXjW5ya3yH1", "colab_type": "text" }, "source": [ "##ARIMA Model" ] }, { "cell_type": "code", "metadata": { "id": "1Ud9KPwjlccF", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 636 }, "outputId": "d809435b-a04b-44e8-f3b8-c6f4f8da772c" }, "source": [ "from statsmodels.tsa.arima_model import ARIMA\n", "\n", "from datetime import timedelta \n", "\n", "arima = ARIMA(data['y'], order=(5, 1, 0))\n", "arima = arima.fit(trend='c', full_output=True, disp=True)\n", "forecast = arima.forecast(steps= 30)\n", "pred = list(forecast[0])\n", "\n", "start_date = data['ds'].max()\n", "prediction_dates = []\n", "for i in range(30):\n", " date = start_date + timedelta(days=1)\n", " prediction_dates.append(date)\n", " start_date = date\n", "plt.figure(figsize= (15,10))\n", "plt.xlabel(\"Dates\",fontsize = 20)\n", "plt.ylabel('Total cases',fontsize = 20)\n", "plt.title(\"Predicted Values for the next 10 Days\" , fontsize = 20)\n", "\n", "plt.plot_date(y= pred,x= prediction_dates,linestyle ='dashed',color = '#ff9999',label = 'Predicted');\n", "plt.plot_date(y=data['y'],x=data['ds'],linestyle = '-',color = 'blue',label = 'Actual');\n", "plt.legend();" ], "execution_count": 66, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "0q44og8xdhE1", "colab_type": "text" }, "source": [ "## 1.4 Visualising the spread geographically" ] }, { "cell_type": "code", "metadata": { "_kg_hide-input": true, "_kg_hide-output": false, "id": "d6_6oRNadhE5", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 685 }, "outputId": "9a2455e9-931b-40f9-a507-8f7c0f0e6e9a" }, "source": [ "# Learn how to use folium to create a zoomable map\n", "# df_india['Latitude'] = pd.to_numeric(df_india['Latitude'])\n", "# df_india['Longitude'] = pd.to_numeric(df_india['Longitude'])\n", "map = folium.Map(location=[20, 70], zoom_start=4,tiles='Stamenterrain')\n", "\n", "for lat, lon, value, name in zip(df_india['Latitude'], df_india['Longitude'], df_india['Total Confirmed cases*'], df_india['State/UnionTerritory']):\n", " folium.CircleMarker([lat, lon], radius=value*0.001, popup = ('State: ' + str(name).capitalize() + '
''Total Cases: ' + str(value) + '
'),color='red',fill_color='red',fill_opacity=0.1 ).add_to(map)\n", "map" ], "execution_count": 103, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
Make this Notebook Trusted to load map: File -> Trust Notebook
" ], "text/plain": [ "" ] }, "metadata": { "tags": [] }, "execution_count": 103 } ] }, { "cell_type": "markdown", "metadata": { "id": "PNpM1HZdGHfE", "colab_type": "text" }, "source": [ "#Part 3: Exploring World wide data\n" ] }, { "cell_type": "markdown", "metadata": { "id": "nZxXuyvkNnMm", "colab_type": "text" }, "source": [ "## 3.1 Visualizing: Worldwide NCOVID-19 cases " ] }, { "cell_type": "code", "metadata": { "id": "oMzpDv5uAoJX", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 735 }, "outputId": "bda2ddaa-b317-488c-82a1-d48660f76d56" }, "source": [ "world_confirmed = confirmed_df[confirmed_df.columns[-1:]].sum()\n", "world_recovered = recovered_df[recovered_df.columns[-1:]].sum()\n", "world_deaths = deaths_df[deaths_df.columns[-1:]].sum()\n", "world_active = world_confirmed - (world_recovered - world_deaths)\n", "\n", "labels = ['Active','Recovered','Deceased']\n", "sizes = [world_active,world_recovered,world_deaths]\n", "color= ['blue','green','red']\n", "explode = []\n", "\n", "for i in labels:\n", " explode.append(0.05)\n", " \n", "plt.figure(figsize= (15,10))\n", "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=9, explode = explode,colors = color)\n", "centre_circle = plt.Circle((0,0),0.70,fc='white')\n", "\n", "fig = plt.gcf()\n", "fig.gca().add_artist(centre_circle)\n", "plt.title('World COVID-19 Cases',fontsize = 20)\n", "plt.axis('equal') \n", "plt.tight_layout()" ], "execution_count": 68, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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"colab": { "base_uri": "https://localhost:8080/", "height": 342 }, "outputId": "192de007-39d7-4ca3-f828-a27eaa0749bc" }, "source": [ "hotspots = ['Iran','India']\n", "dates = list(confirmed_df.columns[4:])\n", "dates = list(pd.to_datetime(dates))\n", "dates_india = dates[8:]\n", "\n", "df1 = confirmed_df.groupby('Country/Region').sum().reset_index()\n", "df2 = deaths_df.groupby('Country/Region').sum().reset_index()\n", "df3 = recovered_df.groupby('Country/Region').sum().reset_index()\n", "\n", "global_confirmed = {}\n", "global_deaths = {}\n", "global_recovered = {}\n", "global_active= {}\n", "\n", "for country in hotspots:\n", " k =df1[df1['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_confirmed[country] = k.values.tolist()[0]\n", "\n", " k =df2[df2['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_deaths[country] = k.values.tolist()[0]\n", "\n", " k =df3[df3['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_recovered[country] = k.values.tolist()[0]\n", " \n", "# for country in hotspots:\n", "# k = list(map(int.__sub__, global_confirmed[country], global_deaths[country]))\n", "# global_active[country] = list(map(int.__sub__, k, global_recovered[country]))\n", " \n", "fig = plt.figure(figsize= (15,25))\n", "plt.suptitle('Active, Recovered, Deaths in Hotspot Countries and India as of '+ today,fontsize = 20,y=1.0)\n", "#plt.legend()\n", "k=0\n", "for i in range(1,3):\n", " ax = fig.add_subplot(6,2,i)\n", " ax.xaxis.set_major_formatter(mdates.DateFormatter('%d-%b'))\n", " # ax.bar(dates_india,global_active[hotspots[k]],color = 'green',alpha = 0.6,label = 'Active');\n", " ax.bar(dates_india,global_confirmed[hotspots[k]],color='blue',label = 'Confirmed');\n", " ax.bar(dates_india,global_recovered[hotspots[k]],color='grey',label = 'Recovered');\n", " ax.bar(dates_india,global_deaths[hotspots[k]],color='red',label = 'Death'); \n", " plt.title(hotspots[k])\n", " handles, labels = ax.get_legend_handles_labels()\n", " fig.legend(handles, labels, loc='upper left')\n", " k=k+1\n", "\n", "plt.tight_layout(pad=3.0)" ], "execution_count": 96, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "code", "metadata": { "id": "Q3iEWfZGE6f5", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "2gAltUWZFAL5", "colab_type": "code", "colab": {} }, "source": [ "countries = ['Iran','India']\n", "\n", "global_confirmed = []\n", "global_recovered = []\n", "global_deaths = []\n", "\n", "for country in countries:\n", " k =df1[df1['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_confirmed.append(k.values.tolist()[0]) \n", "\n", " k =df2[df2['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_deaths.append(k.values.tolist()[0]) \n", "\n", " k =df3[df3['Country/Region'] == country].loc[:,'1/30/20':]\n", " global_deaths.append(k.values.tolist()[0]) " ], "execution_count": 98, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "nqfBqsHRD62E", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 671 }, "outputId": "08a5a7f3-7a3e-4f74-955f-9769151df432" }, "source": [ "plt.figure(figsize= (15,10))\n", "plt.xticks(rotation = 90 ,fontsize = 11)\n", "plt.yticks(fontsize = 10)\n", "plt.xlabel(\"Dates\",fontsize = 20)\n", "plt.ylabel('Total cases',fontsize = 20)\n", "plt.title(\"Comparison with Iran Country\" , fontsize = 20)\n", "\n", "for i in range(len(countries)):\n", " plt.plot_date(y= global_confirmed[i],x= dates_india,label = countries[i])\n", "plt.legend();" ], "execution_count": 99, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } } ] }, { "cell_type": "markdown", "metadata": { "id": "QDdfXN8jrkqF", "colab_type": "text" }, "source": [ "**INSIGHTS:**\n", "\n", "--> In india the recently confirmed cases are 600K whereas in Iran it is 230K \n", "-->In Iran the death rates are nearly 10K where as in india it is 17K\n", "-->Till date the covid 19 cases are Total number of confirmed COVID 2019 cases across India till date ( 2 july , 2020): 597809 and active cases are Total active COVID19 cases as of 2020_07_02 are: 220115[FROM MODEL]\n", "\n", "-->In iran the active cases are increasing slowly where as in india the cases are increaseing in exponential manner.\n", "\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "tA2o-l9lGNR8", "colab_type": "text" }, "source": [ "#COVID-19 Symptoms\n" ] }, { "cell_type": "markdown", "metadata": { "id": "9wQkckrgoQAH", "colab_type": "text" }, "source": [ "![alt text](https://i.imgur.com/POA1WGb.png)" ] }, { "cell_type": "markdown", "metadata": { "id": "z2zVUbxbJq7d", "colab_type": "text" }, "source": [ "#**Data Source:**\n", "- https://www.mohfw.gov.in/\n", "- https://www.kaggle.com/sudalairajkumar/novel-corona-virus-2019-dataset\n", "- https://www.worldometers.info/coronavirus/#countries\n", "- https://api.covid19india.org/" ] }, { "cell_type": "markdown", "metadata": { "id": "dIT1SkkSg8Pc", "colab_type": "text" }, "source": [ "#DIY: Assignment\n", "\n", "The latest data can also be extracted from the available APIs and reading the json. Below are the API list that have been provided by crowd sourced. Extract and use these data to find meaningful insights.\n", "\n", "- [National time series, statewise stats and test counts](https://api.covid19india.org/data.json)\n", "- [State-district-wise](https://api.covid19india.org/state_district_wise.json)\n", "[State-district-wise V2](https://api.covid19india.org/v2/state_district_wise.json)\n", "- [Travel history](https://api.covid19india.org/travel_history.json)\n", "- [Raw data](https://api.covid19india.org/raw_data.json)\n", "- [States Daily changes](https://api.covid19india.org/states_daily.json)\n", "- [Statewise Tested Numbers](https://api.covid19india.org/csv/latest/statewise_tested_numbers_data.csv)\n" ] }, { "cell_type": "markdown", "metadata": { "id": "jMQ1YzExyPXs", "colab_type": "text" }, "source": [ "##Extracting data from [Hirokuapp](https://www.worldometers.info/coronavirus/#countries)" ] }, { "cell_type": "code", "metadata": { "id": "lw4NGg4_p4cn", "colab_type": "code", "colab": {} }, "source": [ "api = pd.read_json('https://corona-virus-stats.herokuapp.com/api/v1/cases/countries-search')" ], "execution_count": 74, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "8g8lsXUSqDy4", "colab_type": "code", "colab": {} }, "source": [ "json_data = api['data']['rows']" ], "execution_count": 75, "outputs": [] }, { "cell_type": "code", "metadata": { "colab_type": "code", "id": "RvllknW8oHeS", "colab": { "base_uri": "https://localhost:8080/", "height": 178 }, "outputId": "125ea767-3f2b-420c-b2c9-b7f812004997" }, "source": [ "data = json_normalize(json_data)\n", "data" ], "execution_count": 76, "outputs": [ { "output_type": "error", "ename": "NameError", "evalue": "ignored", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson_normalize\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjson_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 2\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;31mNameError\u001b[0m: name 'json_normalize' is not defined" ] } ] }, { "cell_type": "markdown", "metadata": { "id": "BIrfT70K5e5g", "colab_type": "text" }, "source": [ "##Collecting Data for Statewise Insights" ] }, { "cell_type": "code", "metadata": { "id": "A-Qg9KQR7-LZ", "colab_type": "code", "colab": {} }, "source": [ "# to parse json contents\n", "import json\n", "# to parse csv files\n", "import csv" ], "execution_count": 77, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "2Q1tbDnpzuM9", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "904f2072-db4a-4a86-f243-f90caad42284" }, "source": [ "# get response from the web page for LIVE data\n", "response = requests.get('https://api.covid19india.org/raw_data3.json')\n", "# get contents from the response\n", "content = response.content\n", "# parse the json file\n", "parsed = json.loads(content)\n", "# keys\n", "parsed.keys()" ], "execution_count": 78, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['raw_data'])" ] }, "metadata": { "tags": [] }, "execution_count": 78 } ] }, { "cell_type": "code", "metadata": { "id": "R04KA43s0AX9", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 417 }, "outputId": "c33c9fd9-019a-43d6-facb-0b751c8c9ee5" }, "source": [ "# save to df\n", "df = pd.DataFrame(parsed['raw_data'])\n", "\n", "# shape of the dataframe\n", "print(df.shape)\n", "\n", "# # list of columns\n", "print(df.columns)\n", "\n", "# # first few rows\n", "df.head()" ], "execution_count": 79, "outputs": [ { "output_type": "stream", "text": [ "(10020, 20)\n", "Index(['agebracket', 'contractedfromwhichpatientsuspected', 'currentstatus',\n", " 'dateannounced', 'detectedcity', 'detecteddistrict', 'detectedstate',\n", " 'entryid', 'gender', 'nationality', 'notes', 'numcases',\n", " 'patientnumber', 'source1', 'source2', 'source3', 'statecode',\n", " 'statepatientnumber', 'statuschangedate', 'typeoftransmission'],\n", " dtype='object')\n" ], "name": "stdout" }, { "output_type": "execute_result", "data": { "text/html": [ "
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agebracketcontractedfromwhichpatientsuspectedcurrentstatusdateannounceddetectedcitydetecteddistrictdetectedstateentryidgendernationalitynotesnumcasespatientnumbersource1source2source3statecodestatepatientnumberstatuschangedatetypeoftransmission
0Hospitalized27/04/2020West Bengal1Details awaited3827892mohfw.gov.inWB
1Hospitalized27/04/2020BhilwaraRajasthan2Details awaited227893https://twitter.com/ANI/status/125461859651442...RJ
2Hospitalized27/04/2020JaipurRajasthan3Details awaited927894https://twitter.com/ANI/status/125461859651442...RJ
328Deceased27/04/2020SurajpolJaipurRajasthan4MDetails awaited127895https://twitter.com/ANI/status/125461859651442...RJ
4Hospitalized27/04/2020JaisalmerRajasthan5Details awaited127896https://twitter.com/ANI/status/125461859651442...RJ
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" ], "text/plain": [ " agebracket ... typeoftransmission\n", "0 ... \n", "1 ... \n", "2 ... \n", "3 28 ... \n", "4 ... \n", "\n", "[5 rows x 20 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 79 } ] }, { "cell_type": "code", "metadata": { "id": "iNpNp5b06uhO", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 118 }, "outputId": "4773bcd6-25e6-4cb3-ff81-73f601c6ae35" }, "source": [ "# creating patient id column from patient number\n", "# ===============================================\n", "\n", "df['p_id'] = df['patientnumber'].apply(lambda x : 'P'+str(x))\n", "df.columns" ], "execution_count": 80, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['agebracket', 'contractedfromwhichpatientsuspected', 'currentstatus',\n", " 'dateannounced', 'detectedcity', 'detecteddistrict', 'detectedstate',\n", " 'entryid', 'gender', 'nationality', 'notes', 'numcases',\n", " 'patientnumber', 'source1', 'source2', 'source3', 'statecode',\n", " 'statepatientnumber', 'statuschangedate', 'typeoftransmission', 'p_id'],\n", " dtype='object')" ] }, "metadata": { "tags": [] }, "execution_count": 80 } ] }, { "cell_type": "markdown", "metadata": { "id": "qqRkGvh76uhU", "colab_type": "text" }, "source": [ "### Rearrange and rename columns" ] }, { "cell_type": "code", "metadata": { "id": "e8mGgJFU6uhV", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "aa24b320-75b8-4abb-e185-ebe4b529f09f" }, "source": [ "# order of columns\n", "cols = ['patientnumber', 'p_id', 'statepatientnumber', \n", " 'dateannounced', 'agebracket', 'gender', \n", " 'detectedcity', 'detecteddistrict', 'detectedstate', 'statecode', 'nationality',\n", " 'typeoftransmission', 'contractedfromwhichpatientsuspected',\n", " 'statuschangedate', 'currentstatus', 'source1', 'source2', 'source3', 'notes']\n", "\n", "# rearrange columns\n", "df = df[cols]\n", "\n", "# rename columns\n", "df.columns = ['patient_number', 'p_id', 'state_patient_number', \n", " 'date_announced', 'age_bracket', 'gender', \n", " 'detected_city', 'detected_district', 'detected_state', 'state_code', 'nationality',\n", " 'type_of_transmission', 'contracted_from_which_patient_suspected',\n", " 'status_change_date', 'current_status', 'source1', 'source2', 'source3', 'notes']\n", "\n", "# dataframe shape\n", "df.shape" ], "execution_count": 81, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(10020, 19)" ] }, "metadata": { "tags": [] }, "execution_count": 81 } ] }, { "cell_type": "code", "metadata": { "id": "w5pUj6C06uhe", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 206 }, "outputId": "f5591ac9-a0e0-4a70-86a7-24f50cb52b1b" }, "source": [ "# first 3 rows of the dataframe\n", "df.head(3)" ], "execution_count": 83, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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patient_numberp_idstate_patient_numberdate_announcedage_bracketgenderdetected_citydetected_districtdetected_statestate_codenationalitytype_of_transmissioncontracted_from_which_patient_suspectedstatus_change_datecurrent_statussource1source2source3notes
027892P2789227/04/2020West BengalWBHospitalizedmohfw.gov.inDetails awaited
127893P2789327/04/2020BhilwaraRajasthanRJHospitalizedhttps://twitter.com/ANI/status/125461859651442...Details awaited
227894P2789427/04/2020JaipurRajasthanRJHospitalizedhttps://twitter.com/ANI/status/125461859651442...Details awaited
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" ], "text/plain": [ " patient_number p_id state_patient_number ... source2 source3 notes\n", "0 27892 P27892 ... Details awaited\n", "1 27893 P27893 ... Details awaited\n", "2 27894 P27894 ... Details awaited\n", "\n", "[3 rows x 19 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 83 } ] }, { "cell_type": "markdown", "metadata": { "id": "6C4naybB6uhm", "colab_type": "text" }, "source": [ "### Missing values" ] }, { "cell_type": "code", "metadata": { "scrolled": true, "id": "wnHxAVUy6uhp", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 370 }, "outputId": "b8caa569-bdda-436e-cb57-03c69df5e1e7" }, "source": [ "# no. of empty values in each column\n", "# ==================================\n", "\n", "print(df.shape, '\\n')\n", "\n", "for i in df.columns:\n", " print(i, '\\t', df[df[i]==''].shape[0])" ], "execution_count": 84, "outputs": [ { "output_type": "stream", "text": [ "(10020, 19) \n", "\n", "patient_number \t 12\n", "p_id \t 0\n", "state_patient_number \t 4882\n", "date_announced \t 0\n", "age_bracket \t 4837\n", "gender \t 5366\n", "detected_city \t 9599\n", "detected_district \t 86\n", "detected_state \t 5\n", "state_code \t 5\n", "nationality \t 10020\n", "type_of_transmission \t 10020\n", "contracted_from_which_patient_suspected \t 9779\n", "status_change_date \t 10020\n", "current_status \t 0\n", "source1 \t 65\n", "source2 \t 9940\n", "source3 \t 9989\n", "notes \t 8089\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "4z6jamAZ6uhw", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 370 }, "outputId": "364ef452-6428-4e8f-a5a3-65c3faca4611" }, "source": [ "# no. of non-empty values in each column\n", "# ===================================\n", "\n", "print(df.shape, '\\n')\n", "\n", "for i in df.columns:\n", " print(i, '\\t', df[df[i]!=''].shape[0])" ], "execution_count": 85, "outputs": [ { "output_type": "stream", "text": [ "(10020, 19) \n", "\n", "patient_number \t 10008\n", "p_id \t 10020\n", "state_patient_number \t 5138\n", "date_announced \t 10020\n", "age_bracket \t 5183\n", "gender \t 4654\n", "detected_city \t 421\n", "detected_district \t 9934\n", "detected_state \t 10015\n", "state_code \t 10015\n", "nationality \t 0\n", "type_of_transmission \t 0\n", "contracted_from_which_patient_suspected \t 241\n", "status_change_date \t 0\n", "current_status \t 10020\n", "source1 \t 9955\n", "source2 \t 80\n", "source3 \t 31\n", "notes \t 1931\n" ], "name": "stdout" } ] }, { "cell_type": "code", "metadata": { "id": "Y-E5V5m36uh2", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 370 }, "outputId": "71158f7e-f8c2-4f2a-9782-22c769fed114" }, "source": [ "# replacing empty strings with np.nan\n", "# ==================================-\n", "\n", "print(df.shape)\n", "\n", "df = df.replace(r'', np.nan, regex=True)\n", "df.isna().sum()" ], "execution_count": 86, "outputs": [ { "output_type": "stream", "text": [ "(10020, 19)\n" ], "name": "stdout" }, { "output_type": "execute_result", "data": { "text/plain": [ "patient_number 12\n", "p_id 0\n", "state_patient_number 4882\n", "date_announced 0\n", "age_bracket 4837\n", "gender 5366\n", "detected_city 9599\n", "detected_district 86\n", "detected_state 5\n", "state_code 5\n", "nationality 10020\n", "type_of_transmission 10020\n", "contracted_from_which_patient_suspected 9779\n", "status_change_date 10020\n", "current_status 0\n", "source1 65\n", "source2 9940\n", "source3 9989\n", "notes 8089\n", "dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 86 } ] }, { "cell_type": "code", "metadata": { "id": "hBe9b_Ww6uh_", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 386 }, "outputId": "9581b402-0640-4f93-a9d1-f09f9aebaaee" }, "source": [ "# droping empty rows (row with just row number but without patient entry\n", "# ======================================================================\n", "\n", "print(df.shape)\n", "\n", "# df.dropna(subset=['detected_state'], inplace=True)\n", "\n", "print(df.shape)\n", "df.isna().sum()" ], "execution_count": 87, "outputs": [ { "output_type": "stream", "text": [ "(10020, 19)\n", "(10020, 19)\n" ], "name": "stdout" }, { "output_type": "execute_result", "data": { "text/plain": [ "patient_number 12\n", "p_id 0\n", "state_patient_number 4882\n", "date_announced 0\n", "age_bracket 4837\n", "gender 5366\n", "detected_city 9599\n", "detected_district 86\n", "detected_state 5\n", "state_code 5\n", "nationality 10020\n", "type_of_transmission 10020\n", "contracted_from_which_patient_suspected 9779\n", "status_change_date 10020\n", "current_status 0\n", "source1 65\n", "source2 9940\n", "source3 9989\n", "notes 8089\n", "dtype: int64" ] }, "metadata": { "tags": [] }, "execution_count": 87 } ] }, { "cell_type": "code", "metadata": { "id": "b0uh8RKgGzQ6", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "x2vCoAJA6uiF", "colab_type": "text" }, "source": [ "### Save data" ] }, { "cell_type": "code", "metadata": { "id": "h_2wVwPk6uiH", "colab_type": "code", "colab": {} }, "source": [ "# save to csv`\n", "df.to_csv('patients_data.csv', index=False)" ], "execution_count": 88, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "TG-JRfGq6uig", "colab_type": "text" }, "source": [ "## Collecting Some more Statewise Data" ] }, { "cell_type": "code", "metadata": { "id": "pj2LAOTtMkDZ", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "ec525bf3-86d9-4a88-bec7-6190d2f17939" }, "source": [ "# get response from the web page\n", "response = requests.get('https://api.covid19india.org/state_test_data.json')\n", "\n", "# get contents from the response\n", "content = response.content\n", "\n", "# parse the json file\n", "parsed = json.loads(content)\n", "\n", "# keys\n", "parsed.keys()" ], "execution_count": 89, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['states_tested_data'])" ] }, "metadata": { "tags": [] }, "execution_count": 89 } ] }, { "cell_type": "code", "metadata": { "id": "wKUYL9u86uii", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "35ab0c24-186c-497b-faca-781985211222" }, "source": [ "# get response from the web page\n", "response = requests.get('https://api.covid19india.org/state_test_data.json')\n", "\n", "# get contents from the response\n", "content = response.content\n", "\n", "# parse the json file\n", "parsed = json.loads(content)\n", "\n", "# keys\n", "parsed.keys()" ], "execution_count": 90, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['states_tested_data'])" ] }, "metadata": { "tags": [] }, "execution_count": 90 } ] }, { "cell_type": "code", "metadata": { "id": "vyVMhJ4m6uiy", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 758 }, "outputId": "c98a4522-171b-4662-d8d8-6f459ca56e0e" }, "source": [ "# save data in a dataframe\n", "th = pd.DataFrame(parsed['states_tested_data'])\n", "\n", "# first few rows\n", "th" ], "execution_count": 91, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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coronaenquirycallscumulativepeopleinquarantinenegativenumcallsstatehelplinenumicubedsnumisolationbedsnumventilatorspeopleinicupeopleonventilatorspopulationncp2019projectionpositivesource1source2statetagpeopleinquarantinetagtotaltestedtestpositivityratetestspermilliontestsperpositivecasetestsperthousandtotaln95maskstotalpeoplecurrentlyinquarantinetotalpeoplereleasedfromquarantinetotalppetotaltestedunconfirmedupdatedon_d6ua4
012105039700012https://t.me/indiacovid/2550Andaman and Nicobar IslandsSamples Sent0.86%35341173.53140318117/04/2020NaN
12805039700027https://t.me/indiacovid/3147?singleAndaman and Nicobar IslandsInstitutionalSamples Sent1.01%6748996.75614347267924624/04/2020NaN
22985039700033https://t.me/indiacovid/3365?singleAndaman and Nicobar IslandsInstitutionalSamples Sent1.16%7174867.17724420284810627/04/2020NaN
33405039700033https://t.me/indiacovid/3781Andaman and Nicobar IslandsInstitutionalSamples Sent0.88%94561149.46643556375419901/05/2020NaN
44719839700033https://t.me/indiacovid/4925Andaman and Nicobar IslandsInstitutionalSamples Sent0.49%1681920216.82161196667713616/05/2020NaN
.......................................................................................
26419483959690600016711https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.65%4730274.73966040718194993159626245834327/06/2020NaN
26429483959690600017283https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.69%4839274.84976040693795383160626246890628/06/2020NaN
26439483959690600017907https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.74%4937274.94983040693195944161826247841929/06/2020NaN
26449483959690600018559https://www.wbhealth.gov.in/uploaded_files/cor...https://www.wbhealth.gov.in/pages/corona/bulletinWest BengalGovernmentTested3.80%5036265.04991040679596162162826248803830/06/2020NaN
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2646 rows × 28 columns

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" ], "text/plain": [ " coronaenquirycalls cumulativepeopleinquarantine ... updatedon _d6ua4\n", "0 ... 17/04/2020 NaN\n", "1 ... 24/04/2020 NaN\n", "2 ... 27/04/2020 NaN\n", "3 ... 01/05/2020 NaN\n", "4 ... 16/05/2020 NaN\n", "... ... ... ... ... ...\n", "2641 ... 27/06/2020 NaN\n", "2642 ... 28/06/2020 NaN\n", "2643 ... 29/06/2020 NaN\n", "2644 ... 30/06/2020 NaN\n", "2645 ... 01/07/2020 NaN\n", "\n", "[2646 rows x 28 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 91 } ] }, { "cell_type": "code", "metadata": { "id": "LEjnevDB6ui4", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 185 }, "outputId": "6119c57f-5d5d-4d66-9670-b12639815702" }, "source": [ "th.columns" ], "execution_count": 92, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['coronaenquirycalls', 'cumulativepeopleinquarantine', 'negative',\n", " 'numcallsstatehelpline', 'numicubeds', 'numisolationbeds',\n", " 'numventilators', 'peopleinicu', 'peopleonventilators',\n", " 'populationncp2019projection', 'positive', 'source1', 'source2',\n", " 'state', 'tagpeopleinquarantine', 'tagtotaltested',\n", " 'testpositivityrate', 'testspermillion', 'testsperpositivecase',\n", " 'testsperthousand', 'totaln95masks', 'totalpeoplecurrentlyinquarantine',\n", " 'totalpeoplereleasedfromquarantine', 'totalppe', 'totaltested',\n", " 'unconfirmed', 'updatedon', '_d6ua4'],\n", " dtype='object')" ] }, "metadata": { "tags": [] }, "execution_count": 92 } ] }, { "cell_type": "code", "metadata": { "id": "f4rS0cgS6ujo", "colab_type": "code", "colab": {} }, "source": [ "# save to csv`\n", "th.to_csv('tests_latest_state_level.csv', index=False)" ], "execution_count": 93, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "tHdGcXzVzpbH", "colab_type": "code", "colab": {} }, "source": [ "# to get web contents\n", "import requests\n", "# to parse json contents\n", "import json\n", "# to parse csv files\n", "import csv" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "unJ-UO3S-C2T", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "4SimdWJX6ukA", "colab_type": "text" }, "source": [ "## Zones" ] }, { "cell_type": "code", "metadata": { "id": "vOg9Pozn6ukB", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "3f5b8013-94b1-4ce9-bef9-bf14a3a4b470" }, "source": [ "# get response from the web page\n", "response = requests.get('https://api.covid19india.org/zones.json')\n", "\n", "# get contents from the response\n", "content = response.content\n", "\n", "# parse the json file\n", "parsed = json.loads(content)\n", "\n", "# keys\n", "parsed.keys()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['zones'])" ] }, "metadata": { "tags": [] }, "execution_count": 131 } ] }, { "cell_type": "code", "metadata": { "scrolled": true, "id": "Z3i_t1jD6ukI", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 202 }, "outputId": "e135256e-7647-4d53-a659-214a0a71de34" }, "source": [ "zo = pd.DataFrame(parsed['zones'])\n", "zo.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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districtdistrictcodelastupdatedsourcestatestatecodezone
0NicobarsAN_Nicobars01/05/2020https://www.facebook.com/airnewsalerts/photos/...Andaman and Nicobar IslandsANGreen
1North and Middle AndamanAN_North and Middle Andaman01/05/2020https://www.facebook.com/airnewsalerts/photos/...Andaman and Nicobar IslandsANGreen
2South AndamanAN_South Andaman01/05/2020https://www.facebook.com/airnewsalerts/photos/...Andaman and Nicobar IslandsANRed
3AnantapurAP_Anantapur01/05/2020https://www.facebook.com/airnewsalerts/photos/...Andhra PradeshAPOrange
4ChittoorAP_Chittoor01/05/2020https://www.facebook.com/airnewsalerts/photos/...Andhra PradeshAPRed
\n", "
" ], "text/plain": [ " district districtcode ... statecode zone\n", "0 Nicobars AN_Nicobars ... AN Green\n", "1 North and Middle Andaman AN_North and Middle Andaman ... AN Green\n", "2 South Andaman AN_South Andaman ... AN Red\n", "3 Anantapur AP_Anantapur ... AP Orange\n", "4 Chittoor AP_Chittoor ... AP Red\n", "\n", "[5 rows x 7 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 133 } ] }, { "cell_type": "code", "metadata": { "id": "AI8FldFo6ukU", "colab_type": "code", "colab": {} }, "source": [ "# save to csv`\n", "zo.to_csv('zones.csv', index=False)" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "y-CMpHl16ukp", "colab_type": "text" }, "source": [ "## National level daily" ] }, { "cell_type": "code", "metadata": { "id": "XcsbGYvE6ukq", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 34 }, "outputId": "e49b27c1-dc2d-4335-cb4c-a41938e1611d" }, "source": [ "response = requests.get('https://api.covid19india.org/data.json')\n", "content = response.content\n", "parsed = json.loads(content)\n", "parsed.keys()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "dict_keys(['cases_time_series', 'statewise', 'tested'])" ] }, "metadata": { "tags": [] }, "execution_count": 135 } ] }, { "cell_type": "code", "metadata": { "id": "f8Rsh51q6ukx", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 202 }, "outputId": "e79bb54c-d885-4afc-99d0-042867e2935c" }, "source": [ "national = pd.DataFrame(parsed['cases_time_series'])\n", "national.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
dailyconfirmeddailydeceaseddailyrecovereddatetotalconfirmedtotaldeceasedtotalrecovered
010030 January100
100031 January100
200001 February100
310002 February200
410003 February300
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" ], "text/plain": [ " dailyconfirmed dailydeceased ... totaldeceased totalrecovered\n", "0 1 0 ... 0 0\n", "1 0 0 ... 0 0\n", "2 0 0 ... 0 0\n", "3 1 0 ... 0 0\n", "4 1 0 ... 0 0\n", "\n", "[5 rows x 7 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 136 } ] }, { "cell_type": "code", "metadata": { "id": "OpqULg2_6uk3", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 69 }, "outputId": "4c3a7b23-dc7c-4355-c995-f391fe76b998" }, "source": [ "national.columns" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['dailyconfirmed', 'dailydeceased', 'dailyrecovered', 'date',\n", " 'totalconfirmed', 'totaldeceased', 'totalrecovered'],\n", " dtype='object')" ] }, "metadata": { "tags": [] }, "execution_count": 137 } ] }, { "cell_type": "code", "metadata": { "id": "3NpEFRL26ulC", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 202 }, "outputId": "6a3f1d19-5e6c-4586-d63a-0dcc9696c3ef" }, "source": [ "national = national[['date', 'totalconfirmed', 'totaldeceased', 'totalrecovered', \n", " 'dailyconfirmed', 'dailydeceased', 'dailyrecovered']]\n", "national.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "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", " \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", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
datetotalconfirmedtotaldeceasedtotalrecovereddailyconfirmeddailydeceaseddailyrecovered
030 January100100
131 January100000
201 February100000
302 February200100
403 February300100
\n", "
" ], "text/plain": [ " date totalconfirmed ... dailydeceased dailyrecovered\n", "0 30 January 1 ... 0 0\n", "1 31 January 1 ... 0 0\n", "2 01 February 1 ... 0 0\n", "3 02 February 2 ... 0 0\n", "4 03 February 3 ... 0 0\n", "\n", "[5 rows x 7 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 138 } ] }, { "cell_type": "code", "metadata": { "id": "VxXPGMKv6ulI", "colab_type": "code", "colab": {} }, "source": [ "# save to csv`\n", "national.to_csv('nation_level_daily.csv', index=False)" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "aIzy0fzC6ulg", "colab_type": "text" }, "source": [ "## National level latest" ] }, { "cell_type": "code", "metadata": { "id": "F1I4IiN16uli", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 202 }, "outputId": "2f26c13f-89cc-4f71-898c-cdb9983dd677" }, "source": [ "state_level = pd.DataFrame(parsed['statewise'])\n", "state_level.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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activeconfirmeddeathsdeltaconfirmeddeltadeathsdeltarecoveredlastupdatedtimerecoveredstatestatecodestatenotes
0726211301103823531697182523/05/2020 19:57:2453658TotalTT
13220947190157726086082123/05/2020 19:57:2513404MaharashtraMH
2791715512104759536323/05/2020 18:32:247491Tamil NaduTN
365911327380200022/05/2020 20:51:245880GujaratGJ
46412129102315912337023/05/2020 14:56:246267DelhiDL[10-May]<br>\\n\\nDelhi will be releasing bullet...
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" ], "text/plain": [ " active confirmed ... statecode statenotes\n", "0 72621 130110 ... TT \n", "1 32209 47190 ... MH \n", "2 7917 15512 ... TN \n", "3 6591 13273 ... GJ \n", "4 6412 12910 ... DL [10-May]
\\n\\nDelhi will be releasing bullet...\n", "\n", "[5 rows x 11 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 140 } ] }, { "cell_type": "code", "metadata": { "id": "pn2pqX9V6ulo", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 86 }, "outputId": "fcc1769c-9a93-412f-8f4f-8af331ee17c2" }, "source": [ "state_level.columns" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['active', 'confirmed', 'deaths', 'deltaconfirmed', 'deltadeaths',\n", " 'deltarecovered', 'lastupdatedtime', 'recovered', 'state', 'statecode',\n", " 'statenotes'],\n", " dtype='object')" ] }, "metadata": { "tags": [] }, "execution_count": 141 } ] }, { "cell_type": "code", "metadata": { "id": "uKJbgAJP6ulu", "colab_type": "code", "colab": { "base_uri": "https://localhost:8080/", "height": 202 }, "outputId": "7bb0ff48-1dde-4311-e1a0-a05068a83657" }, "source": [ "state_level = state_level[['state', 'statecode', 'lastupdatedtime', \n", " 'confirmed', 'active', 'deaths', 'recovered',\n", " 'deltaconfirmed', 'deltadeaths', 'deltarecovered', 'statenotes']]\n", "state_level.head()" ], "execution_count": null, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
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statestatecodelastupdatedtimeconfirmedactivedeathsrecovereddeltaconfirmeddeltadeathsdeltarecoveredstatenotes
0TotalTT23/05/2020 19:57:24130110726213823536585316971825
1MaharashtraMH23/05/2020 19:57:254719032209157713404260860821
2Tamil NaduTN23/05/2020 18:32:2415512791710474917595363
3GujaratGJ22/05/2020 20:51:241327365918025880000
4DelhiDL23/05/2020 14:56:24129106412231626759123370[10-May]<br>\\n\\nDelhi will be releasing bullet...
\n", "
" ], "text/plain": [ " state ... statenotes\n", "0 Total ... \n", "1 Maharashtra ... \n", "2 Tamil Nadu ... \n", "3 Gujarat ... \n", "4 Delhi ... [10-May]
\\n\\nDelhi will be releasing bullet...\n", "\n", "[5 rows x 11 columns]" ] }, "metadata": { "tags": [] }, "execution_count": 142 } ] }, { "cell_type": "code", "metadata": { "id": "S4zXbnAx6ul1", "colab_type": "code", "colab": {} }, "source": [ "# save to csv`\n", "state_level.to_csv('state_level_latest.csv', index=False)" ], "execution_count": null, "outputs": [] }, { "cell_type": "code", "metadata": { "id": "M2wgBNcQi1M7", "colab_type": "code", "colab": {} }, "source": [ "" ], "execution_count": null, "outputs": [] } ] }