{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "a348c69a-fed3-4912-ba4a-724a680f1585", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "import matplotlib \n", "import matplotlib.pyplot as plt\n", "import missingno as msno\n", "import sklearn.metrics \n", "import statsmodels.api as sm\n", "import statistics as stats\n", "from minisom import MiniSom\n", "import random\n", "import gower\n", "import plotly.express as px\n", "from datetime import datetime, date\n", "#from yellowbrick.cluster import KElbowVisualizer\n", "from kneed import KneeLocator\n", "from kmodes.kprototypes import KPrototypes\n", "from sklearn.preprocessing import MinMaxScaler, StandardScaler, LabelEncoder, OneHotEncoder" ] }, { "cell_type": "code", "execution_count": 2, "id": "fd1c2f2f-b1ca-4281-b2ca-e3bce8f58535", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "We reach that point here ...\n", "And here...\n", "Here\n", "(1060836, 13)\n" ] } ], "source": [ "import snowflake.connector\n", "from cryptography.hazmat.backends import default_backend\n", "from cryptography.hazmat.primitives.asymmetric import rsa\n", "from cryptography.hazmat.primitives.asymmetric import dsa\n", "from cryptography.hazmat.primitives import serialization\n", "\n", "from password import PRIVATE_KEY_PASSPHRASE\n", "\n", "\n", "with open(\"/Users/impr001/Keys_snowflake/rsa_key.p8\", \"rb\") as key: # THIS MAY NOT APPLY TO OTHERS\n", " p_key= serialization.load_pem_private_key(\n", " key.read(),\n", " password=PRIVATE_KEY_PASSPHRASE.encode(),\n", " backend=default_backend()\n", " )\n", "\n", "pkb = p_key.private_bytes(\n", " encoding=serialization.Encoding.DER,\n", " format=serialization.PrivateFormat.PKCS8,\n", " encryption_algorithm=serialization.NoEncryption())\n", "\n", "print(\"We reach that point here ...\")\n", "ctx = snowflake.connector.connect(\n", " user='eimpara@theorchard.com', \n", " account='orchard',\n", " private_key=pkb,\n", " role= 'PROD_DATALYTICS_ROLE',\n", " warehouse = \"DEV_ANALYTICS_ORCHARD\"\n", " )\n", "print(\"And here...\")\n", "\n", "try:\n", " cs = ctx.cursor()\n", " print(\"Here\")\n", " sql = \"\"\"\n", "select * from dev_engineering.eimpara.benchmarking_table_v3\n", " \"\"\"\n", " cs.execute(sql)\n", " original = cs.fetch_pandas_all()\n", " \n", " print(original.shape)\n", "\n", "finally:\n", " cs.close()" ] }, { "cell_type": "code", "execution_count": 3, "id": "9747e9ee-1812-4815-926b-af236cad6abc", "metadata": {}, "outputs": [], "source": [ "pd.options.display.float_format = '{:0f}'.format" ] }, { "cell_type": "code", "execution_count": 4, "id": "cb32a3bb-5c1f-48b5-a64b-e87845cffc02", "metadata": {}, "outputs": [], "source": [ "df = original.copy()" ] }, { "cell_type": "code", "execution_count": 5, "id": "647119e7-27ac-49ad-be70-1a63b3e6c351", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1060836 entries, 0 to 1060835\n", "Data columns (total 13 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 REV_MONTH 1060836 non-null object \n", " 1 LABEL_ID 1060836 non-null int32 \n", " 2 LABEL_NAME 1060813 non-null object \n", " 3 SERVICE_TIER_NAME 1060836 non-null object \n", " 4 PRIMARY_GENRE 1060836 non-null object \n", " 5 PREDOMINANT_MARKET 1060836 non-null object \n", " 6 COUNTRY_RANK 1060836 non-null int8 \n", " 7 GROSS_REVENUE_USD 1060836 non-null float64\n", " 8 UNITS 1060836 non-null float64\n", " 9 ALL_RELEASES 1060836 non-null int32 \n", " 10 NEW_RELEASES 1060836 non-null int16 \n", " 11 CATALOG_RELEASES 1060836 non-null int32 \n", " 12 NEW_RELEASE_GROSS_REV_USD 1060836 non-null float64\n", "dtypes: float64(3), int16(1), int32(3), int8(1), object(5)\n", "memory usage: 79.9+ MB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "code", "execution_count": 6, "id": "fcfbdaa1-bd68-4ccf-9477-bb493df78e80", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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REV_MONTHLABEL_IDLABEL_NAMESERVICE_TIER_NAMEPRIMARY_GENREPREDOMINANT_MARKETCOUNTRY_RANKGROSS_REVENUE_USDUNITSALL_RELEASESNEW_RELEASESCATALOG_RELEASESNEW_RELEASE_GROSS_REV_USD
02023-05-0129861JompaMusicTier 3ElectronicUSA12111.530958740873.00000011101110.000000
12022-06-0121999Dragonette IncTier 3ElectronicUSA11101.0013051041120.000000310310.000000
22023-02-0126609Payner LtdTier 1World MusicBulgaria181598.965401447847658.00000037115036611394.413524
32022-11-0110827Butterfly Music S.R.L.Tier 3PopItaly116974.2016844982793.00000090809080.000000
42022-02-0129460Darrow Entertainment ABTier 3RockSweden15396.8865881178293.00000010301030.000000
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" ], "text/plain": [ " REV_MONTH LABEL_ID LABEL_NAME SERVICE_TIER_NAME \\\n", "0 2023-05-01 29861 JompaMusic Tier 3 \n", "1 2022-06-01 21999 Dragonette Inc Tier 3 \n", "2 2023-02-01 26609 Payner Ltd Tier 1 \n", "3 2022-11-01 10827 Butterfly Music S.R.L. Tier 3 \n", "4 2022-02-01 29460 Darrow Entertainment AB Tier 3 \n", "\n", " PRIMARY_GENRE PREDOMINANT_MARKET COUNTRY_RANK GROSS_REVENUE_USD \\\n", "0 Electronic USA 1 2111.530958 \n", "1 Electronic USA 1 1101.001305 \n", "2 World Music Bulgaria 1 81598.965401 \n", "3 Pop Italy 1 16974.201684 \n", "4 Rock Sweden 1 5396.886588 \n", "\n", " UNITS ALL_RELEASES NEW_RELEASES CATALOG_RELEASES \\\n", "0 740873.000000 111 0 111 \n", "1 1041120.000000 31 0 31 \n", "2 447847658.000000 3711 50 3661 \n", "3 4982793.000000 908 0 908 \n", "4 1178293.000000 103 0 103 \n", "\n", " NEW_RELEASE_GROSS_REV_USD \n", "0 0.000000 \n", "1 0.000000 \n", "2 1394.413524 \n", "3 0.000000 \n", "4 0.000000 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 7, "id": "b34af360-70f3-4879-805a-3ff4115a5735", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1060836, 13)" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = df.drop_duplicates()\n", "df.shape" ] }, { "cell_type": "markdown", "id": "f35d7ff9-35be-412d-ae23-ac364722d0a2", "metadata": {}, "source": [ "# EDA" ] }, { "cell_type": "code", "execution_count": 11, "id": "db98e6c3-9878-4040-8b96-f3451bea7e51", "metadata": {}, "outputs": [], "source": [ "df['REV_MONTH'] = pd.to_datetime(df['REV_MONTH'])\n", "df['REV_YEAR'] = df['REV_MONTH'].dt.year" ] }, { "cell_type": "code", "execution_count": 12, "id": "82c0a395-7eb1-4cf4-8a41-5b1266a15c68", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([2023, 2022, 2024, 2021], dtype=int32)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['REV_YEAR'].unique()" ] }, { "cell_type": "code", "execution_count": null, "id": "860c1fd9-9529-4f72-9a36-3d1fa9a7c604", "metadata": {}, "outputs": [], "source": [ "#df =df[~df['REV_YEAR'].isin([2024, 2032])].copy()\n" ] }, { "cell_type": "markdown", "id": "0eab641e-488a-4092-86c6-0e50a97a8782", "metadata": {}, "source": [ "# Tier 1" ] }, { "cell_type": "code", "execution_count": 13, "id": "c93679f8-e984-4099-b4e3-456edceb7023", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(7810, 14)" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier1 = df[df['SERVICE_TIER_NAME']=='Tier 1'].copy()\n", "tier1.shape" ] }, { "cell_type": "code", "execution_count": 14, "id": "13733b80-e8aa-4243-896f-fc29caed0965", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "214" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier1['LABEL_ID'].nunique()" ] }, { "cell_type": "code", "execution_count": 15, "id": "06a09636-628e-4b1a-82a1-91f7449ba9e4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index: 7810 entries, 2 to 1060726\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 REV_MONTH 7810 non-null datetime64[ns]\n", " 1 LABEL_ID 7810 non-null int32 \n", " 2 LABEL_NAME 7810 non-null object \n", " 3 SERVICE_TIER_NAME 7810 non-null object \n", " 4 PRIMARY_GENRE 7810 non-null object \n", " 5 PREDOMINANT_MARKET 7810 non-null object \n", " 6 COUNTRY_RANK 7810 non-null int8 \n", " 7 GROSS_REVENUE_USD 7810 non-null float64 \n", " 8 UNITS 7810 non-null float64 \n", " 9 ALL_RELEASES 7810 non-null int32 \n", " 10 NEW_RELEASES 7810 non-null int16 \n", " 11 CATALOG_RELEASES 7810 non-null int32 \n", " 12 NEW_RELEASE_GROSS_REV_USD 7810 non-null float64 \n", " 13 REV_YEAR 7810 non-null int32 \n", "dtypes: datetime64[ns](1), float64(3), int16(1), int32(4), int8(1), object(4)\n", "memory usage: 694.1+ KB\n" ] } ], "source": [ "tier1.info()" ] }, { "cell_type": "markdown", "id": "7af3713f-a77a-480b-a950-10a5170c36fa", "metadata": {}, "source": [ "## Years 2021, 2022, 2023" ] }, { "cell_type": "code", "execution_count": 16, "id": "785150f5-a54a-4695-926a-eb8490ac7ee7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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REV_MONTHLABEL_IDLABEL_NAMESERVICE_TIER_NAMEPRIMARY_GENREPREDOMINANT_MARKETCOUNTRY_RANKGROSS_REVENUE_USDUNITSALL_RELEASESNEW_RELEASESCATALOG_RELEASESNEW_RELEASE_GROSS_REV_USDREV_YEAR
22023-02-0126609Payner LtdTier 1World MusicBulgaria181598.965401447847658.00000037115036611394.4135242023
192023-03-0134095In My Mind LimitedTier 1ElectronicGermany1222926.305900780178681.0000007775072710763.4015682023
222022-02-0115362BGM Industrias del Disco S.A. (Magenta Discos)Tier 1Latin MusicArgentina1210065.6062781112833139.0000005492565436753.4243342022
312023-02-0125223Black 17 Media, LLCTier 1RockUSA13333979.61232927500285688.00000043163983918254756.5706592023
442023-01-0115362BGM Industrias del Disco S.A. (Magenta Discos)Tier 1Latin MusicArgentina1200201.6764311958064293.00000059684159271673.9422702023
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" ], "text/plain": [ " REV_MONTH LABEL_ID LABEL_NAME \\\n", "2 2023-02-01 26609 Payner Ltd \n", "19 2023-03-01 34095 In My Mind Limited \n", "22 2022-02-01 15362 BGM Industrias del Disco S.A. (Magenta Discos) \n", "31 2023-02-01 25223 Black 17 Media, LLC \n", "44 2023-01-01 15362 BGM Industrias del Disco S.A. (Magenta Discos) \n", "\n", " SERVICE_TIER_NAME PRIMARY_GENRE PREDOMINANT_MARKET COUNTRY_RANK \\\n", "2 Tier 1 World Music Bulgaria 1 \n", "19 Tier 1 Electronic Germany 1 \n", "22 Tier 1 Latin Music Argentina 1 \n", "31 Tier 1 Rock USA 1 \n", "44 Tier 1 Latin Music Argentina 1 \n", "\n", " GROSS_REVENUE_USD UNITS ALL_RELEASES NEW_RELEASES \\\n", "2 81598.965401 447847658.000000 3711 50 \n", "19 222926.305900 780178681.000000 777 50 \n", "22 210065.606278 1112833139.000000 5492 56 \n", "31 3333979.612329 27500285688.000000 4316 398 \n", "44 200201.676431 1958064293.000000 5968 41 \n", "\n", " CATALOG_RELEASES NEW_RELEASE_GROSS_REV_USD REV_YEAR \n", "2 3661 1394.413524 2023 \n", "19 727 10763.401568 2023 \n", "22 5436 753.424334 2022 \n", "31 3918 254756.570659 2023 \n", "44 5927 1673.942270 2023 " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier1_3years = tier1[tier1['REV_YEAR'].isin([2023, 2022, 2021])].copy()\n", "tier1_3years.head() " ] }, { "cell_type": "markdown", "id": "768319f3-8fe5-4dee-a5c1-ab22d44b6d52", "metadata": {}, "source": [ "#### Preparing the table" ] }, { "cell_type": "code", "execution_count": 17, "id": "c37a79ce-e271-45cc-a30f-588024b980f4", "metadata": {}, "outputs": [], "source": [ "p1_tier1_3years = pd.pivot_table(tier1_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='GROSS_REVENUE_USD').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 18, "id": "3169177c-1b54-437a-9f40-50e34f8191b9", "metadata": {}, "outputs": [], "source": [ "p1_tier1_3years = p1_tier1_3years.rename(columns={2021 : 'GROSS_REVENUE_USD_2021', \n", " 2022: 'GROSS_REVENUE_USD_2022', \n", " 2023: 'GROSS_REVENUE_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 19, "id": "35659beb-f565-45f1-a8d6-34e49f1e809e", "metadata": {}, "outputs": [], "source": [ "p2_tier1_3years = pd.pivot_table(tier1_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='ALL_RELEASES').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 20, "id": "24456237-df84-4d2d-8201-edc0ae389e0f", "metadata": {}, "outputs": [], "source": [ "p2_tier1_3years = p2_tier1_3years.rename(columns={2021 : 'ALL_RELEASES_2021', \n", " 2022: 'ALL_RELEASES_2022', \n", " 2023: 'ALL_RELEASES_2023'})\n" ] }, { "cell_type": "code", "execution_count": 21, "id": "c8276af6-cfce-46ce-b0cc-f964563a87af", "metadata": {}, "outputs": [], "source": [ "p3_tier1_3years = pd.pivot_table(tier1_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASES').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 22, "id": "2fd49346-7918-49b1-a288-4929baab8759", "metadata": {}, "outputs": [], "source": [ "p3_tier1_3years = p3_tier1_3years.rename(columns={2021 : 'NEW_RELEASES_2021', \n", " 2022: 'NEW_RELEASES_2022', \n", " 2023: 'NEW_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 23, "id": "8b96294b-7b71-4f32-b24a-2d7f49b65d74", "metadata": {}, "outputs": [], "source": [ "p4_tier1_3years = pd.pivot_table(tier1_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='CATALOG_RELEASES').reset_index().rename_axis(None, axis=1)\n", "\n" ] }, { "cell_type": "code", "execution_count": 24, "id": "db9ad484-349a-40d2-99f9-ef1fdd00d88f", "metadata": {}, "outputs": [], "source": [ "p4_tier1_3years = p4_tier1_3years.rename(columns={2021 : 'CATALOG_RELEASES_2021', \n", " 2022: 'CATALOG_RELEASES_2022', \n", " 2023: 'CATALOG_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 25, "id": "343ef0ad-b978-4b33-b8d0-fc7ef0e5b0b9", "metadata": {}, "outputs": [], "source": [ "p5_tier1_3years = pd.pivot_table(tier1_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASE_GROSS_REV_USD').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 26, "id": "9a633633-5421-4e39-a16a-23ec2875eb6c", "metadata": {}, "outputs": [], "source": [ "p5_tier1_3years = p5_tier1_3years.rename(columns={2021 : 'NEW_RELEASE_GROSS_REV_USD_2021', \n", " 2022: 'NEW_RELEASE_GROSS_REV_USD_2022', \n", " 2023: 'NEW_RELEASE_GROSS_REV_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 27, "id": "284ce760-7cc1-4634-8424-1aa91c22242b", "metadata": {}, "outputs": [], "source": [ "\n", "merged1_2_tier1_3years = pd.merge(p1_tier1_3years, p2_tier1_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merged3_4_tier1_3years = pd.merge(p3_tier1_3years, p4_tier1_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merges_tier1_3years = pd.merge(merged1_2_tier1_3years, merged3_4_tier1_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "\n", "merged_tier1_3years = pd.merge(merges_tier1_3years, p5_tier1_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])" ] }, { "cell_type": "code", "execution_count": 28, "id": "d973f410-a96f-4674-8249-8517ef78d07f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET',\n", " 'GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023', 'ALL_RELEASES_2021', 'ALL_RELEASES_2022',\n", " 'ALL_RELEASES_2023', 'NEW_RELEASES_2021', 'NEW_RELEASES_2022',\n", " 'NEW_RELEASES_2023', 'CATALOG_RELEASES_2021', 'CATALOG_RELEASES_2022',\n", " 'CATALOG_RELEASES_2023', 'NEW_RELEASE_GROSS_REV_USD_2021',\n", " 'NEW_RELEASE_GROSS_REV_USD_2022', 'NEW_RELEASE_GROSS_REV_USD_2023'],\n", " dtype='object')" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "merged_tier1_3years.columns" ] }, { "cell_type": "code", "execution_count": 29, "id": "a5b52cec-66da-48a4-9160-958d1bd1e8eb", "metadata": {}, "outputs": [], "source": [ "filtered_tier1_3years = merged_tier1_3years[merged_tier1_3years[['GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023']].notnull().all(axis=1)].copy()" ] }, { "cell_type": "code", "execution_count": 30, "id": "4dd07772-f18a-4f15-9d2a-f98708fa2448", "metadata": {}, "outputs": [], "source": [ "filtered_tier1_3years = filtered_tier1_3years.replace([np.inf,-np.inf], 0)" ] }, { "cell_type": "code", "execution_count": 31, "id": "85cf476e-63e0-440d-b617-5a3bb3a792fd", "metadata": {}, "outputs": [], "source": [ "filtered_tier1_3years['total_revenue_21-23'] = filtered_tier1_3years['GROSS_REVENUE_USD_2021'] + filtered_tier1_3years['GROSS_REVENUE_USD_2022'] + filtered_tier1_3years['GROSS_REVENUE_USD_2023']\n", "filtered_tier1_3years['Growth_rate_2021_2022'] = (filtered_tier1_3years['GROSS_REVENUE_USD_2022'] - filtered_tier1_3years['GROSS_REVENUE_USD_2021']) / filtered_tier1_3years['GROSS_REVENUE_USD_2021'] *100\n", "filtered_tier1_3years['Growth_rate_2022_2023'] = (filtered_tier1_3years['GROSS_REVENUE_USD_2023'] - filtered_tier1_3years['GROSS_REVENUE_USD_2022']) / filtered_tier1_3years['GROSS_REVENUE_USD_2022'] *100\n", "\n", "filtered_tier1_3years['new_all_releases_ratio_2021'] = filtered_tier1_3years['NEW_RELEASES_2021']/filtered_tier1_3years['ALL_RELEASES_2021']\n", "filtered_tier1_3years['new_all_releases_ratio_2022'] = filtered_tier1_3years['NEW_RELEASES_2022']/filtered_tier1_3years['ALL_RELEASES_2022']\n", "filtered_tier1_3years['new_all_releases_ratio_2023'] = filtered_tier1_3years['NEW_RELEASES_2023']/filtered_tier1_3years['ALL_RELEASES_2023']\n", "\n", "filtered_tier1_3years['total_revenue_new_releases_21-23'] = filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2021'] + filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2022'] + filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2023']\n", "filtered_tier1_3years['Growth_rate_new_realeases_2021_2022'] = (filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2022'] - filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2021']) / filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2021'] *100\n", "filtered_tier1_3years['Growth_rate_new_releases_2022_2023'] = (filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2023'] - filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2022']) / filtered_tier1_3years['NEW_RELEASE_GROSS_REV_USD_2022'] *100" ] }, { "cell_type": "markdown", "id": "c7fe0d8d-6c96-4777-b06f-2d55acd1047f", "metadata": {}, "source": [ "## K-Prototype" ] }, { "cell_type": "code", "execution_count": 32, "id": "629d5e58-8780-43ef-8774-d45b2984fa71", "metadata": {}, "outputs": [], "source": [ "cols_tier1 = ['PRIMARY_GENRE', 'PREDOMINANT_MARKET',\n", " 'GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023', 'ALL_RELEASES_2021', 'ALL_RELEASES_2022',\n", " 'ALL_RELEASES_2023', 'NEW_RELEASES_2021', 'NEW_RELEASES_2022',\n", " 'NEW_RELEASES_2023', 'CATALOG_RELEASES_2021', 'CATALOG_RELEASES_2022',\n", " 'CATALOG_RELEASES_2023', 'NEW_RELEASE_GROSS_REV_USD_2021',\n", " 'NEW_RELEASE_GROSS_REV_USD_2022', 'NEW_RELEASE_GROSS_REV_USD_2023',\n", " 'total_revenue_21-23', 'Growth_rate_2021_2022', 'Growth_rate_2022_2023',\n", " 'new_all_releases_ratio_2021', 'new_all_releases_ratio_2022',\n", " 'new_all_releases_ratio_2023', 'total_revenue_new_releases_21-23',\n", " 'Growth_rate_new_realeases_2021_2022',\n", " 'Growth_rate_new_releases_2022_2023']" ] }, { "cell_type": "code", "execution_count": 33, "id": "8c890ddb-e642-46bd-9f2e-32cf4830d462", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PRIMARY_GENREPREDOMINANT_MARKETGROSS_REVENUE_USD_2021GROSS_REVENUE_USD_2022GROSS_REVENUE_USD_2023ALL_RELEASES_2021ALL_RELEASES_2022ALL_RELEASES_2023NEW_RELEASES_2021NEW_RELEASES_2022...NEW_RELEASE_GROSS_REV_USD_2023total_revenue_21-23Growth_rate_2021_2022Growth_rate_2022_2023new_all_releases_ratio_2021new_all_releases_ratio_2022new_all_releases_ratio_2023total_revenue_new_releases_21-23Growth_rate_new_realeases_2021_2022Growth_rate_new_releases_2022_2023
0Children'sUSA244681.952388269258.456411269652.612551803.583333928.9166671077.083333112.08333388.000000...3636.490931783593.02135110.0442650.1463860.1394790.0947340.0901357013.45144490.69018464.156678
1RockUSA273969.814442240895.498314166819.1925062806.1666673208.0000003114.333333348.916667374.000000...54622.172176681684.505261-12.072248-30.7503900.1243390.1165840.032538296617.720338-10.209547-52.290398
2ElectronicUSA388868.959482524602.001620662720.4600641721.4166671956.8333332219.833333160.500000141.333333...55432.6941911576191.42116734.90457126.3282370.0932370.0722260.074705137551.213434-14.34185346.308721
3RockUSA152083.351010155297.001936161471.4661731316.2500001417.5833331484.91666748.08333364.750000...12127.456543468851.8191192.1130853.9759070.0365310.0456760.03389628481.96001625.13026033.414763
4PopUSA828988.559895786355.224948754152.33023320041.83333320031.25000020611.416667208.500000215.833333...29626.2414142369496.115076-5.142813-4.0952100.0104030.0107750.02985458607.421388-8.152686113.525504
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5 rows × 26 columns

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" ], "text/plain": [ " PRIMARY_GENRE PREDOMINANT_MARKET GROSS_REVENUE_USD_2021 \\\n", "0 Children's USA 244681.952388 \n", "1 Rock USA 273969.814442 \n", "2 Electronic USA 388868.959482 \n", "3 Rock USA 152083.351010 \n", "4 Pop USA 828988.559895 \n", "\n", " GROSS_REVENUE_USD_2022 GROSS_REVENUE_USD_2023 ALL_RELEASES_2021 \\\n", "0 269258.456411 269652.612551 803.583333 \n", "1 240895.498314 166819.192506 2806.166667 \n", "2 524602.001620 662720.460064 1721.416667 \n", "3 155297.001936 161471.466173 1316.250000 \n", "4 786355.224948 754152.330233 20041.833333 \n", "\n", " ALL_RELEASES_2022 ALL_RELEASES_2023 NEW_RELEASES_2021 NEW_RELEASES_2022 \\\n", "0 928.916667 1077.083333 112.083333 88.000000 \n", "1 3208.000000 3114.333333 348.916667 374.000000 \n", "2 1956.833333 2219.833333 160.500000 141.333333 \n", "3 1417.583333 1484.916667 48.083333 64.750000 \n", "4 20031.250000 20611.416667 208.500000 215.833333 \n", "\n", " ... NEW_RELEASE_GROSS_REV_USD_2023 total_revenue_21-23 \\\n", "0 ... 3636.490931 783593.021351 \n", "1 ... 54622.172176 681684.505261 \n", "2 ... 55432.694191 1576191.421167 \n", "3 ... 12127.456543 468851.819119 \n", "4 ... 29626.241414 2369496.115076 \n", "\n", " Growth_rate_2021_2022 Growth_rate_2022_2023 new_all_releases_ratio_2021 \\\n", "0 10.044265 0.146386 0.139479 \n", "1 -12.072248 -30.750390 0.124339 \n", "2 34.904571 26.328237 0.093237 \n", "3 2.113085 3.975907 0.036531 \n", "4 -5.142813 -4.095210 0.010403 \n", "\n", " new_all_releases_ratio_2022 new_all_releases_ratio_2023 \\\n", "0 0.094734 0.090135 \n", "1 0.116584 0.032538 \n", "2 0.072226 0.074705 \n", "3 0.045676 0.033896 \n", "4 0.010775 0.029854 \n", "\n", " total_revenue_new_releases_21-23 Growth_rate_new_realeases_2021_2022 \\\n", "0 7013.451444 90.690184 \n", "1 296617.720338 -10.209547 \n", "2 137551.213434 -14.341853 \n", "3 28481.960016 25.130260 \n", "4 58607.421388 -8.152686 \n", "\n", " Growth_rate_new_releases_2022_2023 \n", "0 64.156678 \n", "1 -52.290398 \n", "2 46.308721 \n", "3 33.414763 \n", "4 113.525504 \n", "\n", "[5 rows x 26 columns]" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier1 = filtered_tier1_3years[cols_tier1].copy()\n", "subtier1.head()" ] }, { "cell_type": "code", "execution_count": 34, "id": "76dec93e-b4b4-4556-a500-f29422d7e121", "metadata": {}, "outputs": [], "source": [ "subtier1 = subtier1.replace([np.inf,-np.inf], 0)\n", "subtier1 = subtier1.fillna(0)" ] }, { "cell_type": "code", "execution_count": 35, "id": "ef8b6737-3177-4345-af44-6d595cb48781", "metadata": {}, "outputs": [], "source": [ "\n", "scaler_kproto =MinMaxScaler()\n", "le = LabelEncoder()\n", "\n", "numeric_cols = subtier1.select_dtypes(include=[np.number]).columns\n", "subtier1[numeric_cols] = scaler_kproto.fit_transform(subtier1[numeric_cols])\n", "\n", "categorical_cols = subtier1.select_dtypes(include=['object']).columns\n", "subtier1[categorical_cols] = subtier1[categorical_cols].apply(le.fit_transform)" ] }, { "cell_type": "code", "execution_count": 36, "id": "576f4e9f-6431-4492-a981-f4ddc32cbc8f", "metadata": {}, "outputs": [], "source": [ "dfMatrix = subtier1.to_numpy()\n" ] }, { "cell_type": "code", "execution_count": 38, "id": "688b5e72-e2b2-48be-a952-118f05b49538", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# elbow method allows you to identify the optimal number of clusters\n", "\n", "kp_cs = []\n", "for i in range(1,15):\n", " kprototype = KPrototypes(n_jobs = -1, n_clusters = i, init = 'Huang', n_init=1, random_state = 2024)\n", " kprototype.fit_predict(dfMatrix, categorical =[1,2])\n", " kp_cs.append(kprototype.cost_)\n", "plt.plot(range(1, 15), kp_cs)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 39, "id": "7258816d-0843-4ec6-95cd-f8374944b352", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_k_knee = KneeLocator(range(1,15), kp_cs, curve='convex', direction='decreasing')\n", "kproto_k_knee.elbow" ] }, { "cell_type": "code", "execution_count": 40, "id": "e19cbde2-f5d8-46df-807d-4084719a202d", "metadata": {}, "outputs": [], "source": [ "kprototype = KPrototypes(n_jobs = -1, n_clusters = kproto_k_knee.elbow, init = 'Huang', gamma = 0.3, random_state = 2023)\n", "kproto_clusters = kprototype.fit_predict(dfMatrix, categorical = [1,2])" ] }, { "cell_type": "code", "execution_count": 41, "id": "66965368-8f1a-4a19-b7fc-8452fa4f85c0", "metadata": {}, "outputs": [], "source": [ "distance_matrix = gower.gower_matrix(dfMatrix)" ] }, { "cell_type": "code", "execution_count": 42, "id": "315d0e11-e6c1-4200-b09f-211eadc5d441", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.08" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_silouhette = sklearn.metrics.silhouette_score(distance_matrix, kproto_clusters, metric=\"precomputed\").round(2)\n", "kproto_silouhette" ] }, { "cell_type": "code", "execution_count": 43, "id": "19c1e434-2b49-446c-8e52-05ff0383b71e", "metadata": {}, "outputs": [], "source": [ "subtier1['Kproto_clusters'] = kprototype.labels_" ] }, { "cell_type": "code", "execution_count": 44, "id": "29c84ee9-89a5-4447-aaf9-ee97632a63d9", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "2 75\n", "1 68\n", "0 36\n", "Name: count, dtype: int64" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier1['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 45, "id": "3dd06833-85e7-4ab5-9c9d-b7e6a44a8eba", "metadata": {}, "outputs": [], "source": [ "subtier1[\"Kproto_clusters\"] = subtier1[\"Kproto_clusters\"].astype(str)" ] }, { "cell_type": "code", "execution_count": 46, "id": "cd490af9-d2e2-4870-a083-4fc85733565e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3 4 5 6 7 \\\n", "0 3.111111 0.026573 0.033061 0.046496 0.041500 0.039171 0.027765 0.026752 \n", "1 6.676471 0.038768 0.047781 0.060011 0.056666 0.055540 0.037972 0.043942 \n", "2 11.466667 0.027549 0.038015 0.082940 0.077097 0.073372 0.045814 0.063353 \n", "\n", " 8 9 ... 16 17 18 19 20 \\\n", "0 0.028336 0.048079 ... 0.000061 0.005722 0.277480 0.159364 0.140736 \n", "1 0.047322 0.061558 ... 0.014724 0.014939 0.247111 0.127257 0.168697 \n", "2 0.063143 0.086564 ... 0.000148 0.000022 0.166255 0.192512 0.084208 \n", "\n", " 21 22 23 24 25 \n", "0 0.019699 0.000082 0.000311 18.000000 0.000789 \n", "1 0.036299 0.000209 0.026450 18.000000 0.000789 \n", "2 0.028365 0.014384 0.000920 18.000000 0.000000 \n", "\n", "[3 rows x 26 columns]" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "centroids = pd.DataFrame(kprototype.cluster_centroids_)\n", "centroids.head()" ] }, { "cell_type": "code", "execution_count": 47, "id": "92f06ab6-7928-4078-8f41-51d1707d36cf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "2 75\n", "1 68\n", "0 36\n", "Name: count, dtype: int64" ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier1['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 48, "id": "2c885fd4-a00f-49f8-bec6-0cf9fadc9063", "metadata": {}, "outputs": [], "source": [ "k_map = subtier1[['Kproto_clusters']]\n", "unscaled_tier1 = pd.concat([filtered_tier1_3years, k_map], axis=1)" ] }, { "cell_type": "code", "execution_count": 49, "id": "561fc8c9-c333-4dcd-b843-34b50e490500", "metadata": {}, "outputs": [], "source": [ "unscaled_tier1['SERVICE_TIER_NAME'] = 'Tier_1'" ] }, { "cell_type": "markdown", "id": "3d26c6fe-c4e1-4bcf-ad12-0d8379d05221", "metadata": {}, "source": [ "## Largest Cluster" ] }, { "cell_type": "code", "execution_count": 50, "id": "282c296d-4f59-4d81-a601-644f8399065b", "metadata": {}, "outputs": [], "source": [ "k = unscaled_tier1[unscaled_tier1['Kproto_clusters']=='0'].copy()" ] }, { "cell_type": "code", "execution_count": 51, "id": "ec902cc7-21b6-438c-8062-a446cbb258c0", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 52, "id": "46353080-456b-438b-8041-f7987fb4e008", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 53, "id": "38ac9051-0a53-4833-8f4a-dbf3fe4c1b97", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 54, "id": "316d55b1-10d1-4f95-b7d1-a54b3de8010f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 36.000000\n", "mean 704251.212120\n", "std 989441.125424\n", "min 112.087712\n", "25% 306038.610316\n", "50% 470459.409186\n", "75% 776500.933400\n", "max 5855367.022487\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 54, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 55, "id": "32ef8a8e-bd1d-4afb-b94f-7fd520d787d9", "metadata": {}, "outputs": [], "source": [ "k0 = unscaled_tier1[unscaled_tier1['Kproto_clusters']=='1'].copy()" ] }, { "cell_type": "code", "execution_count": 56, "id": "cd276d91-143f-47d9-a975-9436f698b53b", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 57, "id": "a4f36ff2-1fa8-4797-a69a-a300776bddb8", "metadata": {}, "outputs": [ { "data": { "image/png": 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8rnv//fePadOmxbx58yIvLy9+/vOfx5w5c2LFihUxffr0OPzwwyPiuycIvPvuu3Haaadl9b9LL7000//Wv71m/eseIyLat2+fVc9rr70WzzzzTNYy9t1334iIrH68Yd+L+H79GHYEN9xwQxx44IFRq1atyM/Pj5tvvnmT483pp58e//jHP+Lf//53RERMnDgxTjnllKynscIPQatWrSIvL2+zfrNgwYIC49mG+6jFVZx9xdNPPz0mTZoU3377baxatSruuusub6ahTJgxY0bMnTs3WrRoEStXrozXXnstVqxYETVr1szaz3v//fez9vEaNGgQtWrVKrC8Dff9dt9994j4rv9uOO3bb7+N5cuXR0Txj8U2XG5OTk7Url07s09ZqVKlOPnkk2P8+PEREfHqq6/GG2+8Eaeccsr3/OvA/7Ro0SLKly+f+b4lxzWvvfZajB49OqtvrX9D2tdffx3z58+P+vXrR926dTO/2fg4LM1+++0XDRs2jBEjRsSKFSuK/Zv1Nu5XxRlD58+fH+3atcuatnG98+fPj0MOOSRr2iGHHBJvv/125o2NG9eS9t+OiHAsyVa38Ti43sbXCYrqv8UZP+fOnRs//vGPC62juOdKYUfy9ttvR9++faNRo0ZRrVq1zBPsN94P3HBsyc3NjbZt22Y9nbg451m2xjgOpeHhhx+O/Pz8qFSpUnTv3j369OkTI0eOjIite/1svY335dq3b1/gjRdF9cmNbarO4lyrOOWUU2Lu3LnRtGnT+OUvfxn/+Mc/vtc2QklJNuNtfRseD1WtWjWqVatW7P5c1H4q/BBs6hr6ekWNcXfffXcccsghUbt27cjPz4+LLrqoyHtF7GNCxCuvvBK9evWKv/71r9GnT58C8wu7jlDcY8GNbeqeL+Ph9ie3tAvgh6NatWrxxRdfFJi+bNmyqF69euZ7hQoV4tBDD41DDz00hg0bFpdeemmMHj06hg0bFnl5eXHXXXfFt99+m3XRI0mSWLduXSxcuDCaNGlSItsD25uqVatG48aNM99vvfXWqF69etxyyy0xaNCgTJsNXX311XH99dfHddddF61atYqqVavGeeedl3mN63qXXnppPPHEEzFjxozYaaedtv3GQAkZN25crFmzJuuif5IkUbFixfjTn/6UmVbYK1I3ZcWKFVG+fPmYPXt21sFoxHevg1yvQoUKWfNycnI260TVhjZc1vqbVde/qm7o0KHx5JNPxjXXXBONGzeOypUrx89+9rMCfR1KW6VKleKII46II444Ii6++OIYNGhQjBgxIk455ZTo2LFjTJs2LSpWrBiHH3547LLLLtGsWbN4/vnnY/r06TFkyJCIiMxNOLfcckuBm2Q27o+bsmLFiujRo0dcddVVBeatP9CNKLwfF/WaSNhRTZ48OYYOHRpjx46N9u3bx0477RRXX311vPLKK6m/OeCAA2L//feP22+/PY488sj45z//GY888kgJVg3bVnHPhRS2v1nYvuHq1as3a/3lypUrchnF2Vfs0aNHVKxYMR544IHIy8uL1atXx89+9rPNqgW2pcaNG0dOTk4sWLAga3qjRo0iIqJy5coR8d0+Xp06dWLatGkFllGjRo3M/047BizsuGtrHIsVtU85aNCgaN26dXz00UcxYcKE6Ny5czRo0KDQGmG94o5BEVvnuGbFihUxatSo+OlPf1pg3oYBhy1Rr169uPfee6NTp07RrVu3eOyxx4o8R7k9Hatt7n87YHMVdxxcb+Nxrqj+W5zxc+N1bLz84pwrhR1Jjx49okGDBnHLLbdE3bp1Y926ddGyZcvNOidf3PMs29OYB5ujU6dOceONN0ZeXl7UrVs3cnP/d/vS1rx+ti1tqs7iXKto06ZNvP/++/HYY4/FU089Fb17944uXbrEvffeWwLVw5bbZ599IicnJ956660i236fcWpbHmdCWbKpa+hFeemll6Jfv34xatSo6Nq1a1SvXj0mT54cY8eO3eTv7GOyIyvuedO99947atasGePHj4+jjz66QL8o7DrClh4LbupcofFw+yN4QYlp2rRpoQn9V199dZNhiebNm8eaNWvi22+/jby8vBg3blwMGTKkwM7DWWedFePHj48rr7xya5cOZVJOTk6UK1cuvvnmm9Q2L7zwQhx77LGZN8isDzA1b9480+a+++6L0aNHx2OPPZb1xA4o69asWRO33357jB07No488siseccdd1xMmjQp83T7DTVq1CgqVKgQM2fOjD333DMiIr744otYuHBhHHbYYRHx3U2ka9eujaVLl8ahhx66xTXm5eVlPSFxS73wwgtxyimnRM+ePSPiu53yRYsWfe/lwrbWvHnzePDBByMi4vDDD4/x48dHbm5udOvWLSIiOnbsGJMmTYqFCxdGx44dI+K7J4XWrVs33nvvvejXr1+hy23WrFn89a9/jW+//TZzIPryyy9ntWnTpk3cd9990bBhw6wLPsB3ChujXnjhhejQoUOcddZZmWnFeXrpoEGD4rrrrot///vf0aVLl6hfv/5WrxdKy5aeC4mIqFWrVixevDjz/e233856ck3Tpk3jjjvuiJUrV0bFihUjImLmzJkFlvHll1/GV199lTkBPHfu3Kw2xdlXzM3NjQEDBsSECRMiLy8vTjjhhE3eXAclrWbNmnHEEUfEn/70pxg8eHBqcKJNmzaxZMmSyM3NzTxpalvaWsdirVq1irZt28Ytt9wSd911V9aDAiDN9xmDilKhQoUC+4Jt2rSJBQsWZD0YZkPNmjWLDz/8MBYvXpwJs298HLYpDRo0iOnTp2fCF48//vgWPyCmOGNos2bN4qGHHsqatnG9zZo1ixdeeCFr2gsvvBBNmjTZrOA/fF/FHQfTFNV/izN+7rfffjF16tQ49dRTC8zbWudKoaz49NNPY8GCBXHLLbdk/s0///zzhbZ9+eWXM9cV1qxZE7Nnz45zzjknIrb8PAuUFRs/VHBbe/nll6N///5Z3w844IACbdL65OYqzrWKiO9u/OvTp0/06dMnfvazn0W3bt3is88+i1122WWL1gslYZdddomuXbvGDTfcEL/85S8L7H8uW7Ys6wEXW6qo/VT4odrwGnrEpse4F198MRo0aBAXXnhhZv6//vWvEqsVtkfFPW+66667xv333x8dO3aM3r17xz333FMgfLGhzTkW3BzGw+1PudIugB+OM888MxYuXBi//OUv4/XXX48FCxbE73//+5g0aVLmCcUdO3aMm266KWbPnh2LFi2KRx99NH77299Gp06dolq1ajF37tx49dVXY9CgQdGyZcusT9++feO2226LNWvWlPKWQulYuXJlLFmyJJYsWRLz58+PwYMHZ57WnWafffaJJ598Ml588cWYP39+/OIXv4j//ve/mflvvPFG9O/fP4YNGxYtWrTILP+zzz4riU2Cberhhx+Ozz//PE477bQCY8rxxx8f48aNK/R3O+20UwwYMCAuuOCCeOaZZ+Kf//xnnHbaaVGuXLlM6rhJkybRr1+/6N+/f9x///3x/vvvx4wZM+KKK67YrKd4N2zYMDNmfvLJJ5v9hOP19tlnn7j//vtj7ty58dprr8WJJ57oaQRsVz799NPo3Llz3HHHHfH666/H+++/H1OmTInf/e53ceyxx0ZExGGHHRZffvllPPzww5mQRceOHePOO++MOnXqZB0Ajxo1Kq644or4wx/+EAsXLox58+bFhAkT4ve//31ERJx44omRk5MTp59+erz55pvx6KOPxjXXXJNV09lnnx2fffZZ9O3bN2bOnBnvvvtuPPHEE3HqqadulUAUlHUNGzaMV155JRYtWhSffPJJrFu3LvbZZ5+YNWtWPPHEE7Fw4cK4+OKLC9zAVpgTTzwxPvroo7jlllti4MCBJVA9lJzinAtJ07lz5/jTn/4Uc+bMiVmzZsUZZ5yRdUJ3/T7dz3/+85g/f3488cQTmfFs/X5pu3btokqVKvHb3/423n333bjrrruyXkEeUfx9xUGDBsXTTz8djz/+uL7KdunPf/5zrFmzJtq2bRt33313zJ8/PxYsWBB33HFHvPXWW1G+fPno0qVLtG/fPo477rj4xz/+EYsWLYoXX3wxLrzwwpg1a9ZWr2lrHosNGjQorrzyykiSJBPkgE35PmNQURo2bBhTp06NJUuWxOeffx4REZdcckncfvvtMWrUqPjnP/8Z8+fPj8mTJ8dFF10UERFdunSJJk2axIABA+K1116L5557Luuif3HUr18/pk2bFkuXLo2uXbvG8uXLt6j+4oyhZ5xxRrz99ttxwQUXxIIFCwodQ4cMGRJTp06NMWPGxMKFC+O2226LP/3pTzF06NAtqgu+j+KMg2mK03+LGj9HjBgRkyZNihEjRsT8+fNj3rx5mbeIbq1zpVBW7LzzzlGzZs24+eab45133omnn346zj///ELb3nDDDfHAAw/EW2+9FWeffXZ8/vnnmeOtLT3PAhRuypQpMX78+Fi4cGGMGDEiZsyYUSBUsak+uSWKulaxfv/8rbfeioULF8aUKVOidu3aW+WGddjWbrjhhli7dm0cfPDBcd9998Xbb78d8+fPjz/84Q/Rvn37rbKOovZTYUdXnGvoEZse4/bZZ5/44IMPYvLkyfHuu+/GH/7wh3jggQdKa5Ngu7A550132223ePrpp+Ott96Kvn37bvLe5M05FtwcxsPtj+AFJaZRo0bx7LPPxltvvRVdunSJdu3axT333BNTpkzJPLW4a9eucdttt8WRRx4ZzZo1i8GDB0fXrl3jnnvuiYiIcePGRfPmzQt9AnnPnj1j6dKl8eijj5bodsH24vHHH486depEnTp1ol27djFz5syYMmVK5ubUwlx00UXRpk2b6Nq1a3Ts2DFq164dxx13XGb+rFmz4uuvv45LL700s+w6deoU+uoqKGvGjRsXXbp0yXpN3HrHH398zJo1K15//fVCf/v73/8+2rdvH8ccc0x06dIlDjnkkGjWrFnWK9wmTJg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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 58, "id": "8314db3b-0f6d-48ad-b6e9-c222171468f2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 58, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k0, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 59, "id": "a7096555-9b8a-445f-ab54-ce962dc4dbc6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 68.000000\n", "mean 993571.644100\n", "std 2682930.397029\n", "min 582.776413\n", "25% 258234.348329\n", "50% 376300.621586\n", "75% 689905.577585\n", "max 21475622.357384\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 59, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k0['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 60, "id": "59555fb4-e7cb-4690-86e9-ea623fcf1410", "metadata": {}, "outputs": [], "source": [ "k2 = unscaled_tier1[unscaled_tier1['Kproto_clusters']=='2'].copy()" ] }, { "cell_type": "code", "execution_count": 61, "id": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 62, "id": "47a92cf2-8cf6-4267-834f-3d8c3fd09d50", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 63, "id": "1595d61e-df89-4b66-ab11-07009fcc1c2b", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k2, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 64, "id": "0919ebca-449c-409b-a048-2f48c733301d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 75.000000\n", "mean 766721.826461\n", "std 1465350.453747\n", "min 0.083244\n", "25% 217230.376852\n", "50% 368483.525592\n", "75% 626187.138774\n", "max 8771104.848046\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k2['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 74, "id": "baa0014f-c267-4cbf-b365-84c5be898b23", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 0.000000\n", "mean NaN\n", "std NaN\n", "min NaN\n", "25% NaN\n", "50% NaN\n", "75% NaN\n", "max NaN\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 74, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k4['total_revenue_21-23'].describe()" ] }, { "cell_type": "markdown", "id": "cd584b11-fb41-43a1-aa7d-01ed142c5a62", "metadata": {}, "source": [ "# Tier 2" ] }, { "cell_type": "code", "execution_count": 75, "id": "5691e400-5810-4897-9679-378ae624f101", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(35534, 14)" ] }, "execution_count": 75, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier2 = df[df['SERVICE_TIER_NAME']=='Tier 2'].copy()\n", "tier2.shape" ] }, { "cell_type": "code", "execution_count": 76, "id": "528c1e60-4bb0-4e36-8953-aec545d88546", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1118" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier2['LABEL_ID'].nunique()" ] }, { "cell_type": "code", "execution_count": 77, "id": "d5b428f4-9b9d-4e60-b1e2-33afa118f2b8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index: 35534 entries, 6 to 1060717\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 REV_MONTH 35534 non-null datetime64[ns]\n", " 1 LABEL_ID 35534 non-null int32 \n", " 2 LABEL_NAME 35534 non-null object \n", " 3 SERVICE_TIER_NAME 35534 non-null object \n", " 4 PRIMARY_GENRE 35534 non-null object \n", " 5 PREDOMINANT_MARKET 35534 non-null object \n", " 6 COUNTRY_RANK 35534 non-null int8 \n", " 7 GROSS_REVENUE_USD 35534 non-null float64 \n", " 8 UNITS 35534 non-null float64 \n", " 9 ALL_RELEASES 35534 non-null int32 \n", " 10 NEW_RELEASES 35534 non-null int16 \n", " 11 CATALOG_RELEASES 35534 non-null int32 \n", " 12 NEW_RELEASE_GROSS_REV_USD 35534 non-null float64 \n", " 13 REV_YEAR 35534 non-null int32 \n", "dtypes: datetime64[ns](1), float64(3), int16(1), int32(4), int8(1), object(4)\n", "memory usage: 3.1+ MB\n" ] } ], "source": [ "tier2.info()" ] }, { "cell_type": "markdown", "id": "aa245cab-51d0-458b-9201-334757efab17", "metadata": {}, "source": [ "## Years 2021, 2022, 2023" ] }, { "cell_type": "code", "execution_count": 78, "id": "716953d1-9f01-49f3-b59f-b7e698a92c32", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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REV_MONTHLABEL_IDLABEL_NAMESERVICE_TIER_NAMEPRIMARY_GENREPREDOMINANT_MARKETCOUNTRY_RANKGROSS_REVENUE_USDUNITSALL_RELEASESNEW_RELEASESCATALOG_RELEASESNEW_RELEASE_GROSS_REV_USDREV_YEAR
62023-07-0134894Live in DallasTier 2Hip-hop/RapSpain117692.57378615007544.0000006721462658.1354402023
92023-05-0135166Lilly EraTier 2Hip-hop/RapGermany16288.0104422129175.0000002394235547.9813702023
132023-06-0126814Blanco y Negro Music, S.A.Tier 2ElectronicSpain148797.36956478896587.000000608747656114072.1113792023
162023-08-0133687Summer Salt Band LLCTier 2PopUSA116852.15297911773321.000000300300.0000002023
242023-10-0125257Digital Funding, LLCTier 2RockUSA1272637.313995602779815.00000030271030172563.7297932023
\n", "
" ], "text/plain": [ " REV_MONTH LABEL_ID LABEL_NAME SERVICE_TIER_NAME \\\n", "6 2023-07-01 34894 Live in Dallas Tier 2 \n", "9 2023-05-01 35166 Lilly Era Tier 2 \n", "13 2023-06-01 26814 Blanco y Negro Music, S.A. Tier 2 \n", "16 2023-08-01 33687 Summer Salt Band LLC Tier 2 \n", "24 2023-10-01 25257 Digital Funding, LLC Tier 2 \n", "\n", " PRIMARY_GENRE PREDOMINANT_MARKET COUNTRY_RANK GROSS_REVENUE_USD \\\n", "6 Hip-hop/Rap Spain 1 17692.573786 \n", "9 Hip-hop/Rap Germany 1 6288.010442 \n", "13 Electronic Spain 1 48797.369564 \n", "16 Pop USA 1 16852.152979 \n", "24 Rock USA 1 272637.313995 \n", "\n", " UNITS ALL_RELEASES NEW_RELEASES CATALOG_RELEASES \\\n", "6 15007544.000000 67 21 46 \n", "9 2129175.000000 239 4 235 \n", "13 78896587.000000 6087 476 5611 \n", "16 11773321.000000 30 0 30 \n", "24 602779815.000000 3027 10 3017 \n", "\n", " NEW_RELEASE_GROSS_REV_USD REV_YEAR \n", "6 2658.135440 2023 \n", "9 547.981370 2023 \n", "13 4072.111379 2023 \n", "16 0.000000 2023 \n", "24 2563.729793 2023 " ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier2_3years = tier2[tier2['REV_YEAR'].isin([2023, 2022, 2021])].copy()\n", "tier2_3years.head() " ] }, { "cell_type": "markdown", "id": "fc75729c-2c63-4ba0-82f2-adcea47ff488", "metadata": {}, "source": [ "#### Preparing the table" ] }, { "cell_type": "code", "execution_count": 79, "id": "60983d09-301a-4234-8bc1-72358070cf5b", "metadata": {}, "outputs": [], "source": [ "p1_tier2_3years = pd.pivot_table(tier2_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='GROSS_REVENUE_USD').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 80, "id": "99e76489-0f00-444a-958c-35a157cbd761", "metadata": {}, "outputs": [], "source": [ "p1_tier2_3years = p1_tier2_3years.rename(columns={2021 : 'GROSS_REVENUE_USD_2021', \n", " 2022: 'GROSS_REVENUE_USD_2022', \n", " 2023: 'GROSS_REVENUE_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 81, "id": "2ee0f34c-6216-4511-9f3f-77d82b7fc06b", "metadata": {}, "outputs": [], "source": [ "p2_tier2_3years = pd.pivot_table(tier2_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='ALL_RELEASES').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 82, "id": "51649c90-2763-4d06-8873-1ef1ab089a2b", "metadata": {}, "outputs": [], "source": [ "p2_tier2_3years = p2_tier2_3years.rename(columns={2021 : 'ALL_RELEASES_2021', \n", " 2022: 'ALL_RELEASES_2022', \n", " 2023: 'ALL_RELEASES_2023'})\n" ] }, { "cell_type": "code", "execution_count": 83, "id": "40e71d8f-2f62-4455-b5d3-0670e6f9c7ff", "metadata": {}, "outputs": [], "source": [ "p3_tier2_3years = pd.pivot_table(tier2_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASES').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 84, "id": "4695ee37-ae67-4db1-9058-350221a689ab", "metadata": {}, "outputs": [], "source": [ "p3_tier2_3years = p3_tier2_3years.rename(columns={2021 : 'NEW_RELEASES_2021', \n", " 2022: 'NEW_RELEASES_2022', \n", " 2023: 'NEW_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 85, "id": "be079df9-6dad-439d-9c35-69ef098f7f80", "metadata": {}, "outputs": [], "source": [ "p4_tier2_3years = pd.pivot_table(tier2_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='CATALOG_RELEASES').reset_index().rename_axis(None, axis=1)\n", "\n" ] }, { "cell_type": "code", "execution_count": 86, "id": "e77b1f93-4e9c-4e00-9e09-b70b519fcd58", "metadata": {}, "outputs": [], "source": [ "p4_tier2_3years = p4_tier2_3years.rename(columns={2021 : 'CATALOG_RELEASES_2021', \n", " 2022: 'CATALOG_RELEASES_2022', \n", " 2023: 'CATALOG_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 87, "id": "c225ab3f-94cf-42fb-bcea-b2943cc27eb3", "metadata": {}, "outputs": [], "source": [ "p5_tier2_3years = pd.pivot_table(tier2_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASE_GROSS_REV_USD').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 88, "id": "5210e38b-3349-4ba1-a642-ba96caacba9a", "metadata": {}, "outputs": [], "source": [ "p5_tier2_3years = p5_tier2_3years.rename(columns={2021 : 'NEW_RELEASE_GROSS_REV_USD_2021', \n", " 2022: 'NEW_RELEASE_GROSS_REV_USD_2022', \n", " 2023: 'NEW_RELEASE_GROSS_REV_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 89, "id": "bfaa7a4d-a6bc-4406-9f49-fc9905f16324", "metadata": {}, "outputs": [], "source": [ "\n", "merged1_2_tier2_3years = pd.merge(p1_tier2_3years, p2_tier2_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merged3_4_tier2_3years = pd.merge(p3_tier2_3years, p4_tier2_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merges_tier2_3years = pd.merge(merged1_2_tier2_3years, merged3_4_tier2_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "\n", "merged_tier2_3years = pd.merge(merges_tier2_3years, p5_tier2_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])" ] }, { "cell_type": "code", "execution_count": 90, "id": "8bb5a82d-05db-4a9b-8ef5-8467aa9a875c", "metadata": {}, "outputs": [], "source": [ "filtered_tier2_3years = merged_tier2_3years[merged_tier2_3years[['GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023']].notnull().all(axis=1)].copy()" ] }, { "cell_type": "code", "execution_count": 91, "id": "208d57d0-c78e-4760-9bfb-97ad7ef812ff", "metadata": {}, "outputs": [], "source": [ "filtered_tier2_3years = filtered_tier2_3years.replace([np.inf,-np.inf], 0)" ] }, { "cell_type": "code", "execution_count": 92, "id": "e4e077b8-ae41-42bb-8d9d-02c3bce7212f", "metadata": {}, "outputs": [], "source": [ "filtered_tier2_3years['total_revenue_21-23'] = filtered_tier2_3years['GROSS_REVENUE_USD_2021'] + filtered_tier2_3years['GROSS_REVENUE_USD_2022'] + filtered_tier2_3years['GROSS_REVENUE_USD_2023']\n", "filtered_tier2_3years['Growth_rate_2021_2022'] = (filtered_tier2_3years['GROSS_REVENUE_USD_2022'] - filtered_tier2_3years['GROSS_REVENUE_USD_2021']) / filtered_tier2_3years['GROSS_REVENUE_USD_2021'] *100\n", "filtered_tier2_3years['Growth_rate_2022_2023'] = (filtered_tier2_3years['GROSS_REVENUE_USD_2023'] - filtered_tier2_3years['GROSS_REVENUE_USD_2022']) / filtered_tier2_3years['GROSS_REVENUE_USD_2022'] *100\n", "\n", "filtered_tier2_3years['new_all_releases_ratio_2021'] = filtered_tier2_3years['NEW_RELEASES_2021']/filtered_tier2_3years['ALL_RELEASES_2021']\n", "filtered_tier2_3years['new_all_releases_ratio_2022'] = filtered_tier2_3years['NEW_RELEASES_2022']/filtered_tier2_3years['ALL_RELEASES_2022']\n", "filtered_tier2_3years['new_all_releases_ratio_2023'] = filtered_tier2_3years['NEW_RELEASES_2023']/filtered_tier2_3years['ALL_RELEASES_2023']\n", "\n", "filtered_tier2_3years['total_revenue_new_releases_21-23'] = filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2021'] + filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2022'] + filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2023']\n", "filtered_tier2_3years['Growth_rate_new_realeases_2021_2022'] = (filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2022'] - filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2021']) / filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2021'] *100\n", "filtered_tier2_3years['Growth_rate_new_releases_2022_2023'] = (filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2023'] - filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2022']) / filtered_tier2_3years['NEW_RELEASE_GROSS_REV_USD_2022'] *100" ] }, { "cell_type": "markdown", "id": "a3645bd3-3bd1-45eb-9e9b-9b56041b616a", "metadata": {}, "source": [ "## K-Prototype" ] }, { "cell_type": "code", "execution_count": 93, "id": "cf3af754-f9bf-4568-81ea-714265633c16", "metadata": {}, "outputs": [], "source": [ "cols_tier2 = ['PRIMARY_GENRE', 'PREDOMINANT_MARKET',\n", " 'GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023', 'ALL_RELEASES_2021', 'ALL_RELEASES_2022',\n", " 'ALL_RELEASES_2023', 'NEW_RELEASES_2021', 'NEW_RELEASES_2022',\n", " 'NEW_RELEASES_2023', 'CATALOG_RELEASES_2021', 'CATALOG_RELEASES_2022',\n", " 'CATALOG_RELEASES_2023', 'NEW_RELEASE_GROSS_REV_USD_2021',\n", " 'NEW_RELEASE_GROSS_REV_USD_2022', 'NEW_RELEASE_GROSS_REV_USD_2023',\n", " 'total_revenue_21-23', 'Growth_rate_2021_2022', 'Growth_rate_2022_2023',\n", " 'new_all_releases_ratio_2021', 'new_all_releases_ratio_2022',\n", " 'new_all_releases_ratio_2023', 'total_revenue_new_releases_21-23',\n", " 'Growth_rate_new_realeases_2021_2022',\n", " 'Growth_rate_new_releases_2022_2023']" ] }, { "cell_type": "code", "execution_count": 94, "id": "ccb23f46-5aa9-4157-8ef1-c1fbed928ee2", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PRIMARY_GENREPREDOMINANT_MARKETGROSS_REVENUE_USD_2021GROSS_REVENUE_USD_2022GROSS_REVENUE_USD_2023ALL_RELEASES_2021ALL_RELEASES_2022ALL_RELEASES_2023NEW_RELEASES_2021NEW_RELEASES_2022...NEW_RELEASE_GROSS_REV_USD_2023total_revenue_21-23Growth_rate_2021_2022Growth_rate_2022_2023new_all_releases_ratio_2021new_all_releases_ratio_2022new_all_releases_ratio_2023total_revenue_new_releases_21-23Growth_rate_new_realeases_2021_2022Growth_rate_new_releases_2022_2023
0RockUSA56397.42105447561.39982957288.485167393.750000393.750000405.33333317.6666677.166667...20706.470696161247.306050-15.66742120.4516380.0448680.0182010.03824028956.197134-58.968598762.712325
1World MusicGreece30907.94728231483.46800732899.5270212188.1666672405.8333332637.583333114.916667168.500000...1628.89291195290.9423111.8620484.4977860.0525170.0700380.0512464533.08291356.741028-8.128651
2Latin MusicSpain21095.20791621550.2670223275.587651904.750000938.416667158.50000046.08333327.916667...0.00000045921.0625892.157168-84.8002460.0509350.0297490.0000002073.93294931.932791-100.000000
3Latin MusicUSA40026.67058153839.50541459784.558115219.916667244.500000256.25000034.83333312.166667...56.967160153650.73411034.50907811.0421760.1583930.0497610.0484557238.205236-89.434484-91.698545
4ElectronicUSA41023.32370226556.67739821234.833354242.333333238.083333241.0833330.1666670.750000...99.42122088814.834454-35.264442-20.0395700.0006880.0031500.022468428.673828-59.9018155.501262
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5 rows × 26 columns

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" ], "text/plain": [ " PRIMARY_GENRE PREDOMINANT_MARKET GROSS_REVENUE_USD_2021 \\\n", "0 Rock USA 56397.421054 \n", "1 World Music Greece 30907.947282 \n", "2 Latin Music Spain 21095.207916 \n", "3 Latin Music USA 40026.670581 \n", "4 Electronic USA 41023.323702 \n", "\n", " GROSS_REVENUE_USD_2022 GROSS_REVENUE_USD_2023 ALL_RELEASES_2021 \\\n", "0 47561.399829 57288.485167 393.750000 \n", "1 31483.468007 32899.527021 2188.166667 \n", "2 21550.267022 3275.587651 904.750000 \n", "3 53839.505414 59784.558115 219.916667 \n", "4 26556.677398 21234.833354 242.333333 \n", "\n", " ALL_RELEASES_2022 ALL_RELEASES_2023 NEW_RELEASES_2021 NEW_RELEASES_2022 \\\n", "0 393.750000 405.333333 17.666667 7.166667 \n", "1 2405.833333 2637.583333 114.916667 168.500000 \n", "2 938.416667 158.500000 46.083333 27.916667 \n", "3 244.500000 256.250000 34.833333 12.166667 \n", "4 238.083333 241.083333 0.166667 0.750000 \n", "\n", " ... NEW_RELEASE_GROSS_REV_USD_2023 total_revenue_21-23 \\\n", "0 ... 20706.470696 161247.306050 \n", "1 ... 1628.892911 95290.942311 \n", "2 ... 0.000000 45921.062589 \n", "3 ... 56.967160 153650.734110 \n", "4 ... 99.421220 88814.834454 \n", "\n", " Growth_rate_2021_2022 Growth_rate_2022_2023 new_all_releases_ratio_2021 \\\n", "0 -15.667421 20.451638 0.044868 \n", "1 1.862048 4.497786 0.052517 \n", "2 2.157168 -84.800246 0.050935 \n", "3 34.509078 11.042176 0.158393 \n", "4 -35.264442 -20.039570 0.000688 \n", "\n", " new_all_releases_ratio_2022 new_all_releases_ratio_2023 \\\n", "0 0.018201 0.038240 \n", "1 0.070038 0.051246 \n", "2 0.029749 0.000000 \n", "3 0.049761 0.048455 \n", "4 0.003150 0.022468 \n", "\n", " total_revenue_new_releases_21-23 Growth_rate_new_realeases_2021_2022 \\\n", "0 28956.197134 -58.968598 \n", "1 4533.082913 56.741028 \n", "2 2073.932949 31.932791 \n", "3 7238.205236 -89.434484 \n", "4 428.673828 -59.901815 \n", "\n", " Growth_rate_new_releases_2022_2023 \n", "0 762.712325 \n", "1 -8.128651 \n", "2 -100.000000 \n", "3 -91.698545 \n", "4 5.501262 \n", "\n", "[5 rows x 26 columns]" ] }, "execution_count": 94, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier2 = filtered_tier2_3years[cols_tier2].copy()\n", "subtier2.head()" ] }, { "cell_type": "code", "execution_count": 95, "id": "a3c0493f-33c0-42dc-a81d-9ab5ccfaeffb", "metadata": {}, "outputs": [], "source": [ "subtier2 = subtier2.replace([np.inf,-np.inf], 0)\n", "subtier2 = subtier2.fillna(0)" ] }, { "cell_type": "code", "execution_count": 96, "id": "7aea4494-3afe-442d-ab83-7a3f7f9c3ac5", "metadata": {}, "outputs": [], "source": [ "scaler_kproto =MinMaxScaler()\n", "le = LabelEncoder()\n", "\n", "numeric_cols = subtier2.select_dtypes(include=[np.number]).columns\n", "subtier2[numeric_cols] = scaler_kproto.fit_transform(subtier2[numeric_cols])\n", "\n", "categorical_cols = subtier2.select_dtypes(include=['object']).columns\n", "subtier2[categorical_cols] = subtier2[categorical_cols].apply(le.fit_transform)" ] }, { "cell_type": "code", "execution_count": 97, "id": "a50a9d3f-c004-4e9b-bcbd-f4ea49423eec", "metadata": {}, "outputs": [], "source": [ "dfMatrix = subtier2.to_numpy()" ] }, { "cell_type": "code", "execution_count": 99, "id": "603ae0ab-4dd6-4c22-8ba7-ada8fcfd8132", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# elbow method allows you to identify the optimal number of clusters\n", "\n", "kp_cs = []\n", "for i in range(1,15):\n", " kprototype = KPrototypes(n_jobs = -1, n_clusters = i, init = 'Huang', n_init=1, random_state = 2024)\n", " kprototype.fit_predict(dfMatrix, categorical =[1,2])\n", " kp_cs.append(kprototype.cost_)\n", "plt.plot(range(1, 15), kp_cs)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 100, "id": "5e951c91-4534-44b0-aa33-e0ee90be97b5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_k_knee = KneeLocator(range(1,15), kp_cs, curve='convex', direction='decreasing')\n", "kproto_k_knee.elbow" ] }, { "cell_type": "code", "execution_count": 101, "id": "f960aaef-45e9-4c2c-b67a-ed917e4e0072", "metadata": {}, "outputs": [], "source": [ "kprototype = KPrototypes(n_jobs = -1, n_clusters = kproto_k_knee.elbow, init = 'Huang', gamma = 0.3, random_state = 2023)\n", "kproto_clusters = kprototype.fit_predict(dfMatrix, categorical = [1,2])" ] }, { "cell_type": "code", "execution_count": 102, "id": "4d8e50a9-59f9-498c-8103-98bd7bb96916", "metadata": {}, "outputs": [], "source": [ "distance_matrix = gower.gower_matrix(dfMatrix)" ] }, { "cell_type": "code", "execution_count": 103, "id": "675cf8a1-f6d5-4092-8d18-ff1d1e7da763", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.1" ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_silouhette = sklearn.metrics.silhouette_score(distance_matrix, kproto_clusters, metric=\"precomputed\").round(2)\n", "kproto_silouhette" ] }, { "cell_type": "code", "execution_count": 104, "id": "5eec6083-dea8-425f-8cf0-45d3f37732f0", "metadata": {}, "outputs": [], "source": [ "subtier2['Kproto_clusters'] = kprototype.labels_" ] }, { "cell_type": "code", "execution_count": 105, "id": "3122c79a-2822-4ed5-9561-ea23777b4c95", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "2 281\n", "0 244\n", "1 203\n", "Name: count, dtype: int64" ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier2['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 106, "id": "cdf4df71-28da-48e0-bbb9-9f92acf36119", "metadata": {}, "outputs": [], "source": [ "subtier2[\"Kproto_clusters\"] = subtier2[\"Kproto_clusters\"].astype(str)\n", "# new_df = pd.concat([filtered_tier2_3years, subtier2[[\"Kproto_clusters\"]], axis=1)" ] }, { "cell_type": "code", "execution_count": 107, "id": "af0e69fd-18b2-4b72-960f-8e56ea0c59fe", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2 3 4 5 6 7 \\\n", "0 16.000000 0.046428 0.039244 0.053655 0.052794 0.053514 0.052047 0.029493 \n", "1 4.916256 0.030740 0.025331 0.026051 0.026788 0.027086 0.024909 0.016760 \n", "2 9.665480 0.043598 0.037429 0.035853 0.035505 0.036774 0.029761 0.017127 \n", "\n", " 8 9 ... 16 17 18 19 20 \\\n", "0 0.013829 0.053484 ... 0.709084 0.000066 0.214350 0.171886 0.102680 \n", "1 0.005281 0.026053 ... 0.712348 0.004933 0.372510 0.237195 0.124413 \n", "2 0.007641 0.036345 ... 0.713727 0.000030 0.363863 0.213736 0.110411 \n", "\n", " 21 22 23 24 25 \n", "0 0.027428 0.002028 0.000001 40.000000 0.000000 \n", "1 0.025371 0.004987 0.004927 40.000000 0.000000 \n", "2 0.026823 0.000256 0.000000 40.000000 0.000008 \n", "\n", "[3 rows x 26 columns]" ] }, "execution_count": 107, "metadata": {}, "output_type": "execute_result" } ], "source": [ "centroids = pd.DataFrame(kprototype.cluster_centroids_)\n", "centroids.head()" ] }, { "cell_type": "code", "execution_count": 108, "id": "d283c476-7976-407c-b1c7-ee6b8c761abf", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "2 281\n", "0 244\n", "1 203\n", "Name: count, dtype: int64" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier2['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 109, "id": "ca23d475-bbbd-4dfa-ab21-15cc10985ba8", "metadata": {}, "outputs": [], "source": [ "k_maptier2 = subtier2[['Kproto_clusters']]\n", "unscaled_tier2 = pd.concat([filtered_tier2_3years, k_maptier2], axis=1)" ] }, { "cell_type": "code", "execution_count": 110, "id": "a1872773-1068-47b2-bc71-72a9da7bcc9d", "metadata": {}, "outputs": [], "source": [ "unscaled_tier2['SERVICE_TIER_NAME'] = 'Tier_2'" ] }, { "cell_type": "markdown", "id": "0c625ad3-c500-4057-97c1-7dc865d56a6a", "metadata": {}, "source": [ "## Largest Cluster" ] }, { "cell_type": "code", "execution_count": 111, "id": "a1b54914-ac46-4d47-8f32-4bc75911e6a7", "metadata": {}, "outputs": [], "source": [ "k = unscaled_tier2[unscaled_tier2['Kproto_clusters']=='0'].copy()" ] }, { "cell_type": "code", "execution_count": 112, "id": "5f7d0413-d610-4362-bc51-dae970edb794", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 113, "id": "21ebda97-7a6b-4638-9a6c-da6bd0dd4583", "metadata": {}, "outputs": [ { "data": { "image/png": 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zs43SrsHlOveg8FpP4X4fM2ZMmeew8uZ1VVebbLJJtG3bNkaOHJlZNnLkyFhnnXVi4403zixbsmRJXHbZZZmYZI8ePTLta0opdt555+jTp08mTvrtt9/G2muvHeedd15ELHt7u2DBgjjxxBNj9dVXj3r16sW2224bb7755oreHStMYT+4Xbt2ceyxx8bOO++cdS4vK4ZSUv9taUXPj+XNz81lfs7yxHoiym53Fy5cGMcff3y0adMm6tWrF+3atSv3WktFkZxRDbRu3TqefvrpYo+xKuqll16KefPmxc477xwHH3xwPPDAA5kLdPw/33zzTTz33HMxaNCgaNiwYYnrLD0p4vzzz4999tkn3nvvvTjssMPi5ZdfjgEDBsRJJ50UH374Ydx2220xdOjQTNAkImK//fbLdHImTpwYm2yySey0007x7bffRkTEU089Ffvss0/svvvuMWnSpBgzZkxsscUWmc8ff/zx8dprr8UDDzwQ7777buy3336x6667xvTp01fQXqm6Cp9o8dhjjxWbRLy0c889N/bdd99455134qCDDoq//vWvMWXKlMz7jRs3jqFDh8aHH34Y119/fdxxxx1x7bXXlvndL730UsyYMSNeeumlGDZsWAwdOnSle1RsLvtvyZIl0bdv3/j2229j3Lhx8fzzz8d//vOfcu+qt7Trr78+evbsGUceeWTMmjUrZs2aFW3bts28//e//z2uueaaeOutt6JWrVrFkstKUnghuWnTprHbbrtl7ftZs2bFBhtsEKeeemrMmjUrTjvttMx7Z511Vpx00kkxZcqUzOSPpZV3/C1atCguuuiieOedd+Kxxx6LmTNnVtjj1Aoty2+rsBM4ZMiQmDVrVuZ1eW3RkiVL4s9//nPUqVMnJkyYELfeemuceeaZOZfxzDPPjIsuuij+9a9/ZSWvlOaaa67JBPePO+64OPbYYzODjh9//DH22muv6N69e7z99ttx0UUXFSvLZ599Fn/+859jr732ismTJ2eCzkubOHFi9OvXL/7617/Ge++9F+eff36ce+65xfbdtddeG9tss01MmjQp9thjj+jfv38MGDAgDj744Hj77bdjvfXWiwEDBhSb5FCVjRkzJqZOnRrPP/98/Otf/yr2/pVXXhlnnXVWPPfcc7HTTjvF999/HzvuuGNsvPHG8dZbb8Xo0aPjyy+/jH79+kXEb+epxYsXZ3XKv/rqq3jqqadyOj5XFbNmzYoDDjggDjvssJgyZUqMHTs2/vznP2f9dkqqm/LakfLqh9z8/PPPccopp8Rbb70VY8aMiRo1asQ+++wTS5YsyVrv9NNPj1NPPTUmTZoUPXv2jL322isT9F2yZEmsvfba8fDDD8eHH34Y5513Xvztb3+Lhx56KGsb1aFPUFmGDRsWDRs2jAkTJsSVV14ZF154YWYCy/Kcq3KtM0o3d+7cuPfee6Njx47RokWLzPKifaj58+fHpptuGk899VS8//77cdRRR0X//v3jjTfeiIj/9/jewn+TJk2KFi1axPbbb19Zf1qlWpZxZnnjxYiIjz/+OB599NEYOXJkVjJr4aSYyZMnx/rrrx8HHnhgHH300XH22WfHW2+9FSmlrAvKc+fOjd133z3GjBkTkyZNil133TX22muvYk9NKasvd8QRR8R9992XNZ649957Y6211oodd9wx731XVZXX/ypJLv3eXJRXb4V9k6UDxpMmTYp333232B3UViVl/Y6Lqqg+wCGHHBKfffZZvPTSS/HII4/EzTffvEpNmC3PsGHDok6dOjF+/PhMkkCNGjXihhtuiA8++CCGDRsWL774YpxxxhlZn5s3b15cffXVcc8998S///3v+PTTT7PG/bfccksMGjQojjrqqHjvvffiiSeeiI4dO2bez6WdrUpq1qwZl156afzzn/+M//3vfyWuM2PGjNh1111j3333jXfffTcefPDBeOWVVzJtfq9eveLDDz+MOXPmRETEuHHjomXLlpnJEIsWLYrXXnut3AvChf71r3/FeeedF0OGDIkePXpklo8YMSLOO++8uOSSS2LKlClx6aWXxrnnnhvDhg3LrLOsMbiffvopBg4cGK+88kq8/vrr0alTp9h9992LxcIvuOCC6NevX7z77rux++67x0EHHZSp01xiCssj17hkLr/r8lxzzTUxdOjQuPvuu+OVV16Jb7/9NkaNGrXMZZ4xY0a89tpr0a9fv+jXr1+8/PLL8d///rfYekVj3rm2i2PGjMmMj++///4YOXJkmXd3/D3ibL+H999/P1599dWc7xb/6KOPxrXXXhu33XZbTJ8+PR577LHMnV3feuutOPHEE+PCCy+MqVOnxujRo8vsQ1eXfbg8vv322xg9enSpfezCiWwVcW4pry3Kdfy6PNchqptc6y2i7La9JPnW46qmvD5GrvH2q6++Onr06BGTJk2Kc889N3r16pU14bJov+PNN9+MRYsWxdZbbx0R5cfwVpUxZ3n9il69esUrr7wSixcvjoji+/Xzzz+PGTNmZPpz5fXL5s6dG3vuuWd069YtJk6cGOeff37W8RKRe5y6rPhedVGRcZ1Ro0bFSSedFKeeemq8//77cfTRR8ehhx6aNZk4onh/bMSIEXHJJZfEFVdcERMnTox11lknbrnlljLLnWuMfFW1ePHi2HvvvaNBgwYxYcKEuP322+Pvf/971jq5tkFXXXVVpi0sjKMWHgelXctdGazMcwlmz54dvXr1ioiIs88+O2uOzymnnBK//vprDBkyJB5//PFo2bJlHHbYYVmTbFNK8cADD8QRRxwRzz77bBx99NFxwgknxIsvvhgPPPBATJw4Mc4999xMXOPqq6+O+vXrx3bbbRdPPfVUXHvttXHAAQfE/Pnz4/rrry/1+Pv73/8ep512WkyePDk6d+4cBxxwQKmTcnON5VakXPtjW2+9dVx33XXRpEmTTB0WnlfKm980YcKEOPzww+P444+PyZMnxw477BAXX3zxMpXz119/zdx8oHBctmjRoujTp080btw4Xn755Rg/fnxmUufSyRfLOo4tTXlzksoyefLk2GmnnaJbt27x2muvxSuvvBJ77bVX5rxf1MCBA+Pee++NAQMGxAcffBDnn39+/O1vf4sDDjggTjrppHjrrbdit912i7p168Zpp52WNfm5tDotKCiIww47rNiThoYMGRLbb799JrZWETGOlUGtWrViwIABMXTo0Kxr/w8//HAsXrw4DjjggBI/V14frPAa2gsvvBCzZs3KqpuSHHDAAdGxY8e48MILS10n17jA+eefHzfeeGO8+uqrmcSl6667Lu6777546qmn4rnnnot//vOf5e2aauXFF1+MXXbZJS655JKsMXxJ1+CWt19V1jkslzmm1VnRNufuu+8udg3rsssui+HDh8ett94aH3zwQfzf//1fHHzwwTFu3LgoKCiIYcOGxZtvvhk33HBDREQcc8wxsdZaa2WSM4oqr70944wz4tFHH41hw4bF22+/HR07dow+ffpU2WsHy6p+/fqZc2B5MZTlkcu5sKz5OSUpr5zltbs33HBDPPHEE/HQQw/F1KlTY8SIEb9fsnSiSuvVq1c66aSTii0fMmRIatq0aUoppXHjxqW111471a5dO2222Wbp5JNPTq+88kqxzxx44IHp5JNPzrzu0aNHGjJkyAoq+crr9ddfTxGRRo4cmbW8RYsWqWHDhqlhw4bpjDPOSCmlFBFZ+zSllHbaaad06aWXZi275557Ups2bVJKKb388supSZMmaf78+VnrrLfeeum2225LKaXUs2fPdNBBB5VYvv/+97+pZs2a6fPPPy/2vWefffYy/rXVwyOPPJJWW221VK9evbT11luns88+O73zzjuZ9yMiHXPMMVmf2XLLLdOxxx5b6javuuqqtOmmm2ZeDx48OPXo0SPzeuDAgaldu3bp119/zSzbb7/90v77718Bf9Hvq7z999xzz6WaNWumTz/9NLPsgw8+SBGR3njjjZTSb/ujb9++Wds96aSTUq9evTKvS2rPXnrppRQR6YUXXsgse+qpp1JEpF9++aXUMk+bNi3Vrl07zZkzJ6WU0qhRo9K6666blixZklmnR48eafDgwZnXn3zySYqIdN1112Vta+n2NKWyj7+SvPnmmyki0k8//VTmerm05ynl9ttq165duvbaazOvIyKNGjUqa7vltUXPPvtsqlWrVlZb8swzz5S4raUNHDgw1alTJ0VEGjNmTE5/a7t27dLBBx+ceb1kyZK0+uqrp1tuuSWllNItt9ySWrRokVXnd9xxR4qINGnSpJRSSmeffXbq1q1b1veceeaZKSLSd999l1L67Ty3yy67ZK1z+umnZ32uaFlmzZqVIiKde+65mWWvvfZaiog0a9asUvfDilL091C07UkppWuvvTa1a9cu83rgwIFpjTXWSAsWLMhar/B3csYZZ6Q2bdqk999/P/PeRRddlP74xz9mrf/ZZ5+liEhTp05NKaV07LHHpt122y3z/jXXXJM6dOiQdZytqgrbvIkTJ6aISDNnzix1vZLqpqii7Ugu9VNam7KqK+l8VGjOnDkpItJ7772XUvp/54XLL788s86iRYvS2muvna644opSv2PQoEFp3333zfrO6tIn+D0sXUe9evVK2267bdb7m2++eTrzzDNTSrmdqwrrsfB8UZKidUa2gQMHppo1a2bGOhGR2rRpkyZOnJhSKr0PVZI99tgjnXrqqcWW//LLL2nLLbdMe+65Z1q8eHFKKbdzXnWS6zgzl/Hi4MGDU+3atdNXX32VtU5EpHPOOSfzurBPc9ddd2WW3X///alevXpllnWDDTZI//znPzOvy+vL/fLLL2m11VZLDz74YGadDTfcMJ1//vllfk9VlUu/vbRzfEl96aZNm2ZiL7n0e4seGyn9Nt4pL4RXtN522223rDHvCSeckHr37l3mNlZGRduwhg0bpr/85S/LPCZZnvNJeX2AqVOnZo2bU0ppypQpKSKyxnPVXVl1tPHGG5f7+Ycffji1aNEi83rIkCEpItLHH3+cWXbTTTelNdZYI/N6zTXXTH//+99L3F4u7WxVsnTfaauttkqHHXZYSql4u3D44Yeno446KuuzL7/8cqpRo0b65Zdf0pIlS1KLFi3Sww8/nFJKaaONNkqXXXZZat26dUoppVdeeSXVrl07/fzzz+WWacqUKalJkyYl7uP11lsv3XfffVnLLrrootSzZ89St1deDK6oxYsXp8aNG6cnn3wys6zoOXDu3LkpItIzzzyTUsotprC8yourlaTo7zqXsX+bNm3SlVdemXldOHZZevyTyzjxb3/7W9p7770zr/v27ZsVP0up5Jh3SUpqF5s3b571O7rllltSo0aNMn3A8sqYa5ytsi3dttWtWzdFRKpRo0Z65JFHUkrFY3cpZccqr7nmmtS5c+e0cOHCYtt+9NFHU5MmTdKPP/5Y4ndXl31YESZMmFBiH7s8y3NuKapoW7S8sdaibeCqINd6K69tL7y2UNiOV0Q9rkpy6WPkGm9f+rySUkrvvvtuKigoSF999VX69ttvU506ddJFF12U6SdffPHFaeutty61bEVjeNVtzFmWsvoV3333XapRo0Z6880305IlS1Lz5s3TZZddlrbccsuUUkr33ntvWmuttTLbKq9fdttttxUbn95yyy1Z46Jc49Rlxfeqi4qM62y99dbpyCOPzHp/v/32S7vvvnvmdUn9sS233DINGjQoa9k222xT7Pp1afHxlIofX6uCksakDRs2TJdcckl65plnUq1atbKuBz7//PNZ5+9c2qB27dqlXXfdNet7999//6xrbOX1CaqylXEuQUSkOnXqpPXXXz/9/PPPWfG2adOmpYhI48ePz6z/9ddfp4KCgsz5sLBfsccee2TWmTlzZoqIdNlll2V910477ZQGDBiQ6tWrl/U7KVQYMy/tGtWdd95ZbL9NmTIlU46iccKiisYEy1NWDKxoHSxPf6xoeXOZ33TAAQdktYEp/XYMlfe3R0SqV69eatiwYapRo0aKiNS+ffv0zTffpJR+mxvRpUuXrGvbCxYsSPXr10/PPvtsSim3cWx547vCspQ1J6nofi+67w444IC0zTbblPn3Fpa3cK5G0XHEOuusk1ZfffXM65NOOimtv/76mfkhheUsq04///zzVLNmzTRhwoSUUkoLFy5MLVu2TEOHDi21TEXHV9VJYSz3pZdeyizbbrvtsuLMRWM65fXBcolDF11v9OjRqXbt2pmxTtHfX1FF4wIltaWXXXZZiog0Y8aMzLKjjz469enTp8xyVXW5Xt/p27dvGjlyZGrUqFF64IEHstYt7RpcUaW160WP87LOYeXN66quCuvgq6++SnXr1k0zZ85MM2fOTPXq1Utz5sxJffv2TQMHDkzz589PDRo0SK+++mrW5w8//PB0wAEHZF4/9NBDqV69eumss85KDRs2TNOmTcu8tyzt7dy5c1Pt2rXTiBEjMssWLlyY1lxzzay47Mpi6f7XkiVL0vPPP5/q1q2bTjvttJxiKEX7byVddys6dzGXc2FZ83OWJ9ZTXrt7wgknpB133LFS5rp5ckY1sP3228d//vOfGDNmTPzlL3+JDz74ILbbbru46KKLMut8//33MXLkyDj44IMzy0p7bDkle+ONN2Ly5MmxwQYbZN0VYLPNNsta75133okLL7wwcxeBRo0aZTL8582bF++8807MnTs3WrRokbXOJ598ksnEL8zSK8l7770Xixcvjs6dO2d9fty4cavkY0gjIvbdd9/44osv4oknnohdd901xo4dG5tssknW3Xt69uyZ9ZmePXtmZeY9+OCDsc0220Tr1q2jUaNGcc4555R7h4ENNtggatasmXndpk2blfIOmOXtvylTpkTbtm2z7k7RrVu3aNasWc6Z/uXZcMMNM/9v06ZNRESZ+/Luu++OPn36RMuWLSMiYvfdd48ffvghXnzxxXK/q+gxW1RZx1/Eb3eL2muvvWKdddaJxo0bZ+64UZF3pKiI31Z5bVFhva655pqZzxQ9Tkqz4YYbRvv27WPw4ME5P6Jy6TouKCiI1q1bZ/6mqVOnxoYbbph5HGBEZD2tJOK33+GWW26ZtaxoeadMmRLbbLNN1rJtttkmpk+fnnVXiaXLssYaa0REZO5OuPSylel47t69e4l3Z7zmmmvijjvuiFdeeSU22GCDzPJ33nknXnrppazfx/rrrx8RkTmXHHnkkfHcc8/F559/HhG/PS7ukEMOybqzzKquR48esdNOO0X37t1jv/32izvuuKPY42VLqpvy2pFc6ofyTZ8+PQ444IDo0KFDNGnSJJP9XrS9XrotqVWrVmy22WZZ57ebbropNt1002jVqlU0atQobr/99mLbqC59gsqwdJsckb3vlvdclUudkW2HHXaIyZMnx+TJk+ONN96IPn36xG677ZZ1F+WifajFixfHRRddFN27d4/mzZtHo0aN4tlnny1xXx922GHx008/xX333Rc1aghDLK3oODOX8WJERLt27aJVq1bFtpdLP2f+/Pnx448/RsRvd1s77bTTomvXrtGsWbNo1KhRTJkypVg9ltWXq1evXvTv3z/uvvvuiIh4++234/3336/2d2wurf9Vllz6vbnIpd6OPPLIuP/++2P+/PmxcOHCuO+++6rtE9CWbsMmT56cuUNSUWX9jkuSbx9gypQpUatWrdh0000z76+//vpZd4NeVZRWR0vvm0IvvPBC7LTTTrHWWmtF48aNo3///vHNN9/EvHnzMus0aNAg1ltvvczrpff7V199FV988UWp4/pc29mq6Iorrohhw4aVGIt55513YujQoVl/U58+fWLJkiXxySefREFBQWy//fYxduzY+P777+PDDz+M4447LhYsWBAfffRRjBs3LjbffPNo0KBBmWX44YcfYu+9945evXplxZ4jfrt73IwZM+Lwww/PKsfFF1+ctW+XNQb35ZdfxpFHHhmdOnWKpk2bRpMmTWLu3LllnqsaNmwYTZo0yToey4spLK9c4pK5/K7L8sMPP8SsWbOy/obCscuyWLx4cQwbNqzYNYKhQ4cWu8tfSdvOpV3s0aNH1u+oZ8+eMXfu3Pjss89KLNPvEWdbUQrbtgkTJsTAgQPj0EMPjX333Tenz+63337xyy+/RIcOHeLII4+MUaNGZe6Ou8suu0S7du2iQ4cO0b9//xgxYkSZv5WVeR/mK+X41Nt8zy0R5bdFuY5fl+c6RHWTa71FlN22lyTfelxVldbHyDXeXvSc8Yc//CGaN28e48aNi5dffjk23njj2HPPPWPcuHER8dsTH5Z+Wld5MbxVacxZVr+iWbNm0aNHjxg7dmy89957UadOnTjqqKNi0qRJMXfu3Bg3blzmHJBLv2zKlCnFxqdF261c49Rlxfequ+WJ65R2bBU9BoseW1OnTi0WQygvppBrjLy6KzomnTx5chxzzDExderUaNu2bbRu3TqzbtF9mmsbVN5chJXZyjiXICJizz33jGnTpsVtt92WtXzKlClRs2bNeOSRRzKxtXbt2kVKqdgTVpd+gt37778fERHnnXde1vE9duzYeOihh+K0006LfffdNxMzb9q0adSqVSueeuqpuP7660s9/pblb8s1lluRlrU/VlQu85vyGbNfe+21MXny5HjmmWeiW7duceedd0bz5s0j4rfz2McffxyNGzfOfG/z5s1j/vz5WeexZR3HliafdqC8OSpL23DDDaNOnToxZ86crLka33//fXz11VeZv/Xmm2+OadOmZeaHLP35QkXrdM0114w99tgj0+Y9+eSTsWDBgthvv/0yn8k3xrEyWX/99WPrrbfO7I+PP/44Xn755Tj88MNLXD/X2Niy6tOnT2y77bZx7rnnlvh+rnGBotePGjRoEB06dMhatqr04SZMmBD77bdf3HPPPSU+6amka3DL268qq50vb15XddeqVavYY489YujQoTFkyJDYY489MvMAI3475ubNmxe77LJL1j4aPnx41jG13377xT777BOXX355XH311dGpU6dSv7Os9nbGjBmxaNGirL567dq1Y4sttlhp+3X/+te/olGjRlGvXr3YbbfdYv/994/zzz8/IsqPoSyPXM6F5c3PKaqscubS7h5yyCExefLk6NKlS5x44onx3HPP5fU3Lotav9s3sVyaNGkSP/zwQ7Hl33//fTRt2jTzunbt2rHddtvFdtttF2eeeWZcfPHFceGFF8aZZ54ZderUifvuuy/mz5+f1aFNKcWSJUti2rRp0blz59/l71kZdOzYMQoKCooNvAo7JPXr189aXvTRpXPnzo0LLrgg/vznPxfbdr169WLu3LnRpk2brEf6Fiq8QF/0O4puv2bNmjFx4sSsCQARvz1WclVVr1692GWXXWKXXXaJc889N4444ogYPHhwTsHZ1157LQ466KC44IILok+fPtG0adN44IEH4pprrinzc7Vr1856XVBQsNI+Bjaf/Rfx26MLi15UWbRoUc7fv/S+LJz4Xdq+LLyQPHv27KhVq1bW8rvvvrvcQWtpjxsuVNbx9/PPP0efPn2iT58+MWLEiGjVqlV8+umn0adPn6xHX5Yk1/Y8omJ+W+W1RflYa6214pFHHokddtghdt1113jmmWeicePGZX6mKh0vJf3eluU3+HvK9dgq7Xdd+Ojchx56KM4666zM8rlz58Zee+0VV1xxRbHPFA4IN9544+jRo0cMHz48/vjHP8YHH3wQTz31VD5/TrVTs2bNeP755+PVV1/NPObz73//e0yYMCHWXXfdiCheN7m0I7nUD+Xba6+9ol27dnHHHXfEmmuuGUuWLIk//OEP5bbXS3vggQfitNNOi2uuuSZ69uwZjRs3jquuuiomTJiQtV5VauNWNhW973KtM7I1bNgw80jqiIg777wzmjZtGnfccUccccQRmXWWdtVVV8X1118f1113XXTv3j0aNmwYJ598crFj7OKLL45nn3023njjjXL7C9VZruPMXMaLEaWf+5e1n3PaaafF888/H1dffXV07Ngx6tevH3/5y1+K1WN5x+oRRxwRG220Ufzvf/+LIUOGxI477hjt2rUrsYxVXa799pLqoKCgIK9xUURu/b9c6m2vvfaKunXrxqhRo6JOnTqxaNGi+Mtf/rJMZVlZFG3DSrMs5xx9gIpVWh0VPY5mzpwZe+65Zxx77LFxySWXRPPmzeOVV16Jww8/PBYuXJi5UF7Sfi88bsoa00fk3s5WRdtvv3306dMnzj777GLxmrlz58bRRx8dJ554YrHPrbPOOhER0bt377j99tszkySbNGmSSdhYejJfaZYsWRIHHnhg1KhRI0aMGFEscb9wQsAdd9xRbFJFYQxzeWJwAwcOjG+++Sauv/76aNeuXdStWzd69uy5zOeqFamsuFouv+t842q5evbZZ+Pzzz8vdtF58eLFMWbMmNhll10yy4oenyuin51PnK0qWLptu/vuu6NHjx5x1113xeGHH15unbZt2zamTp0aL7zwQjz//PNx3HHHxVVXXRXjxo2Lxo0bx9tvvx1jx46N5557Ls4777w4//zz48033yzWTq3s+zBfnTp1ioKCgvjoo49KXacizi0RubdFZVne6xDVTS71VmhZ2/bfox6ro7L6GLkoes5YOim0bt260bt379hwww1jwYIF8f7778err74ap512Wmb9XGJ41WnMWZ6y+hW9e/fO7NdevXpF8+bNo2vXrvHKK6/EuHHj4tRTT42I3Pplucg1Tr0qjIsqOq6Ti/KuZ+aiImLk1UGucYPSrEptUGlWprkEhfr37x9/+tOf4rDDDsuaWF742ccffzwrtta9e/es5MOCgoKsG7MUtq1HHXVUnHzyyRERMW/evNh///2jffv2ceGFF8YVV1yRiZmfe+65seGGG8aiRYuiYcOGccMNN5R4/C3L35ZrLLcsTZo0iYj43eYtrOj5Ta1bt46OHTtGx44dY8iQIbH77rvHhx9+GKuvvnrMnTs3Nt100xgxYkSxz5V046PS/B5j9vLiWUtba6214pdffonPP/88a67G/Pnzo0aNGpl9ffHFF8eUKVNixIgRWfNDcon19+/fP6699toYMmRI7L///plxU67jq+rk8MMPjxNOOCFuuummGDJkSKy33nqlxtAqqg9Wkssvvzx69uwZp59+etbyZYkLFG1vqmMfLtfrO+utt160aNEi7r777thjjz2K7YuS+mHL268qq51fkfO6VhaHHXZYHH/88RHx241hllZ4TD311FOx1lprZb1Xt27dzP/nzZuXafumT59e5vctS3tbHeywww5xyy23RJ06dWLNNdfMmmdZXgylqiirnLm0u5tsskl88skn8cwzz8QLL7wQ/fr1i5133jkeeeSRFV52t6ys4rp06RJvv/12seVvv/12mQkV3bp1i19//TXmz58fERF33XVXnHrqqVl3A3jnnXdiu+22y2R48psWLVrELrvsEjfeeGP8/PPPy/z5TTbZJKZOnZoZACz9r0aNGrHJJptkJpUXfb8w+2/DDTeMMWPGlLj9jTfeOBYvXhxfffVVsc8vfVeHVV23bt2y6u/111/Pev/111+Prl27RkTEq6++Gu3atYu///3vsdlmm0WnTp2y7hK8Klp6/3Xt2jU+++yzrDsDfPjhh/H9999Ht27dIuK3weusWbOytjF58uSs13Xq1MkKaCyvp59+On766aeYNGlSVpt2//33x8iRI+P777/Pa/tlHX8fffRRfPPNN3H55ZfHdtttF+uvv37OWaPL257nonbt2sX2bXltUWG9Ll1vRY+TsrRr1y7GjRsXs2fPjl133TV++umn5S5/ly5d4r333st6KtGbb76ZtU7Xrl3jjTfeyFpWtLxdu3aN8ePHZy0bP358dO7cOe/BbmVp1apVzJ49O6sDXPTYKssWW2wRzzzzTFx66aVx9dVXZ5Zvsskm8cEHH0T79u2L/T6WHmgeccQRmSz1nXfeOeuuN/ymoKAgttlmm7jgggti0qRJUadOnRg1alSp6+fSjuRaP5Tum2++ialTp8Y555wTO+20U3Tt2rXYU00KLd2W/PrrrzFx4sRMH2H8+PGx9dZbx3HHHRcbb7xxdOzYscrfUbk6WZ5zlTqrGAUFBVGjRo345ZdfSl1n/Pjx0bdv3zj44IOjR48e0aFDh5g2bVrWOo8++mhceOGF8dBDD2Xd0WJVlOs4M5fxYkUaP358HHLIIbHPPvtE9+7do3Xr1jFz5sxl3k737t1js802izvuuGOlf0JDPv32ouOi6dOnZ93dKJd+b6tWreKnn37K+p0U7f/lUm+1atWKgQMHxpAhQ2LIkCHx17/+dZULOuejIs4n66+/fqZvUWjq1Kl5j1mrs4kTJ8aSJUvimmuuia222io6d+4cX3zxxTJto3HjxtG+fftSx/W/dztb0S6//PJ48skn47XXXstavskmm8SHH35YYgygcDJJr1694sMPP4yHH344c7fq3r17xwsvvBDjx4/PuoN1Sc4555x49dVX4/HHHy8x4XKNNdaINddcM/7zn/8UK0Nh8vryxODGjx8fJ554Yuy+++6xwQYbRN26dePrr7/OcY/9JpeYQkVaOq6Wy++6vLF/06ZNo02bNlmJEEXbl1zcdddd8de//rXYXYP/+te/lvuE7VzbxXfeeSerD/n6669Ho0aNSown5BNnq2pq1KgRf/vb3+Kcc86JX375pVif4Mcff4xPPvkk6zP169ePvfbaK2644YYYO3ZsvPbaa/Hee+9FxG/n8Z133jmuvPLKePfdd2PmzJklPjG4Ou3D5dG8efPo06dP3HTTTSX2sb///vsKObdElN8W5TJ+dR3iN7nU24pSEeeU6qqkPkY+8fZevXrF2LFjY+zYsdG7d++oUaNGbL/99nHVVVfFggULMncizTWGV53GnMtq6X5Fr1694pVXXokxY8Zk9efuv//+mDZtWmZZLv2yrl27xrvvvpuZSxBRvN0Sp/5/KjKuU9qxVXjNtTRdunQpFkMo+nppyxIjX1V16dIlPvvss/jyyy8zy0rap7m0QWXNRYgo+VruyqwqzyVY2sCBA2Po0KHx0EMPZeJxXbt2jZRS7LjjjpnYWu3atWP+/PmZJy6UZOONN46I3yZCd+zYMdZbb70YPHhw1K5dOx5++OEoKCjIxMx32223mDlzZlx88cXx7bffRuPGjSvk+KuIWG7z5s2jZcuWxcaTP/74Y3z88cd5zVsoqQ5zmd/UtWvXYon/yzNm32KLLWLTTTeNSy65JCJ+a5OnT58eq6++erHvXnqSdnnj2FzGdyWVuWg7UJay5qiUpEePHtG9e/esuRotW7aMJk2aRJcuXaJjx47RrFmzqF+/fmZ+SK523333aNiwYdxyyy0xevTorDavosZXK5N+/fpFjRo14r777ovhw4fHYYcdVuyGJYVy6YMVxumWtb3bYost4s9//nPWDTkjxAWKyvX6TsuWLePFF1+Mjz/+OPr161duwtWK6leVN69rVbDrrrvGwoULY9GiRdGnT5+s97p16xZ169aNTz/9tNj+WTrWeOqpp0aNGjXimWeeiRtuuKHEGFqhstrb9dZbL+rUqZPVV1+0aFG8+eab5fbVq6rCJOV11lknKzFjRcnlXFjW/JxllUu7G/Fb4tb+++8fd9xxRzz44IPx6KOPxrfffrtc37ksVo2jeCV27LHHxrRp0+LEE0+Md999N6ZOnRr/+Mc/4v7778/c/aJ3795x2223xcSJE2PmzJnx9NNPx9/+9rfYYYcdokmTJjF58uR4++2344gjjog//OEPWf8OOOCAGDZsWOaR2fzm5ptvjl9//TU222yzePDBB2PKlCkxderUuPfee+Ojjz4qM+h43nnnxfDhw+OCCy6IDz74IKZMmRIPPPBAnHPOORERsfPOO0fPnj1j7733jueeey5mzpwZr776avz973+Pt956KyIiBg8eHPfff38MHjw4pkyZEu+9917mriSdO3eOgw46KAYMGBAjR46MTz75JN5444247LLLVsk7mn/zzTex4447xr333hvvvvtufPLJJ/Hwww/HlVdeGX379s2s9/DDD8fdd98d06ZNi8GDB8cbb7yRybzs1KlTfPrpp/HAAw/EjBkz4oYbbihzYm11ksv+23nnnaN79+5x0EEHxdtvvx1vvPFGDBgwIHr16pV5pO6OO+4Yb731VgwfPjymT58egwcPzjzas1D79u1jwoQJMXPmzPj666+XO+P6rrvuij322CN69OiR1Z7169cvmjVrVuKdD5ZFWcffOuusE3Xq1Il//vOf8Z///CeeeOKJuOiii3Labi7t+fIqnHgye/bszAAgl7aoc+fOMXDgwHjnnXfi5Zdfjr///e/L9L1t27aNsWPHxldffRV9+vSJH3/8cbnKf+CBB8aSJUviqKOOiilTpsSzzz6bSSQoHNgec8wxMX369Dj99NNj6tSpcd9992Uel1vo1FNPjTFjxsRFF10U06ZNi2HDhsWNN96YdReulU3v3r1jzpw5ceWVV8aMGTPipptuimeeeWaZtrH11lvH008/HRdccEFcd911ERExaNCg+Pbbb+OAAw6IN998M2bMmBHPPvtsHHrooVmBgAMPPDD+97//xR133LFKXfDK1YQJE+LSSy+Nt956Kz799NMYOXJkzJkzp8yBQy7tSK71Q+lWW221aNGiRdx+++3x8ccfx4svvhinnHJKievedNNNMWrUqPjoo49i0KBB8d1332V+7506dYq33nornn322Zg2bVqce+65ZV7womItz7lKnS2fBQsWxOzZs2P27NkxZcqUOOGEEzJ3RyxNp06dMk8PmjJlShx99NFZFzLff//9GDBgQJx55pmxwQYbZLb/ewQ6qqpcxpm5jBcrUqdOnWLkyJGZGzgU9suWxxFHHBGXX355pJRin332qeCS/n7y6bfvuOOOceONN8akSZPirbfeimOOOSbrji659Hu33HLLaNCgQfztb3+LGTNmlNj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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 114, "id": "b1059e37-00bc-4ce0-a9af-31793d0928b6", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 114, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 115, "id": "604ba795-eee7-4819-a028-2fd39fcf9fbb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 244.000000\n", "mean 78545.924586\n", "std 96419.159466\n", "min 0.290134\n", "25% 24191.071100\n", "50% 56755.312355\n", "75% 108865.406034\n", "max 1142551.407243\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 116, "id": "87f53968-4e60-4604-aaf7-5d16df21c240", "metadata": {}, "outputs": [], "source": [ "k0 = unscaled_tier2[unscaled_tier2['Kproto_clusters']=='1'].copy()" ] }, { "cell_type": "code", "execution_count": 117, "id": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 118, "id": "1f70ea9c-e5bd-4063-b269-0a32a54d11b6", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 119, "id": "6a1808bb-e9fa-4a8d-93f1-e4f003fb33eb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 119, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k0, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 120, "id": "70481dc6-2c9c-4091-98a9-6d94883c0269", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 203.000000\n", "mean 49361.973329\n", "std 51098.585478\n", "min 8.400993\n", "25% 2071.228051\n", "50% 37618.324941\n", "75% 77582.774504\n", "max 218099.434837\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 120, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k0['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 121, "id": "1e29934c-1836-4aaf-ac21-734a6eeb4616", "metadata": {}, "outputs": [], "source": [ "k2 = unscaled_tier2[unscaled_tier2['Kproto_clusters']=='2'].copy()" ] }, { "cell_type": "code", "execution_count": 122, "id": "f90842d9-b9d0-4cf6-a755-32d04885b277", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 123, "id": "5bc0ba6c-dcf2-4a72-a686-59019fa3bbbf", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 124, "id": "1986e887-4848-44b2-ae41-2d25d58ee0c8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 124, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k2, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 125, "id": "3a42483b-439c-4525-9f7b-8e3f7aa0216f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 281.000000\n", "mean 72053.495572\n", "std 136569.171661\n", "min 1.635776\n", "25% 3135.130527\n", "50% 45976.859327\n", "75% 94663.155203\n", "max 1684054.374692\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k2['total_revenue_21-23'].describe()" ] }, { "cell_type": "markdown", "id": "ecb6ea7f-2112-495c-9950-3b35795cefdc", "metadata": {}, "source": [ "# Tier 3" ] }, { "cell_type": "code", "execution_count": null, "id": "85c5d4b3-d25d-4b24-8166-fe74126d5f71", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 126, "id": "52e6370a-d88f-45b7-adfb-68dee7245052", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(228867, 14)" ] }, "execution_count": 126, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier3 = df[df['SERVICE_TIER_NAME']=='Tier 3'].copy()\n", "tier3.shape" ] }, { "cell_type": "code", "execution_count": 127, "id": "4e83200e-f8f1-417d-b344-013d0322f038", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "6271" ] }, "execution_count": 127, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier3['LABEL_ID'].nunique()" ] }, { "cell_type": "code", "execution_count": 128, "id": "9556a768-e963-44f5-8bab-97aac407c249", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index: 228867 entries, 0 to 1060824\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 REV_MONTH 228867 non-null datetime64[ns]\n", " 1 LABEL_ID 228867 non-null int32 \n", " 2 LABEL_NAME 228867 non-null object \n", " 3 SERVICE_TIER_NAME 228867 non-null object \n", " 4 PRIMARY_GENRE 228867 non-null object \n", " 5 PREDOMINANT_MARKET 228867 non-null object \n", " 6 COUNTRY_RANK 228867 non-null int8 \n", " 7 GROSS_REVENUE_USD 228867 non-null float64 \n", " 8 UNITS 228867 non-null float64 \n", " 9 ALL_RELEASES 228867 non-null int32 \n", " 10 NEW_RELEASES 228867 non-null int16 \n", " 11 CATALOG_RELEASES 228867 non-null int32 \n", " 12 NEW_RELEASE_GROSS_REV_USD 228867 non-null float64 \n", " 13 REV_YEAR 228867 non-null int32 \n", "dtypes: datetime64[ns](1), float64(3), int16(1), int32(4), int8(1), object(4)\n", "memory usage: 19.9+ MB\n" ] } ], "source": [ "tier3.info()" ] }, { "cell_type": "markdown", "id": "0c237e0c-3055-4b17-b5b6-5e04dd4141e7", "metadata": {}, "source": [ "## Years 2021, 2022, 2023" ] }, { "cell_type": "code", "execution_count": 129, "id": "42fc1799-2b55-406b-b768-ae8f02c96b8e", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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REV_MONTHLABEL_IDLABEL_NAMESERVICE_TIER_NAMEPRIMARY_GENREPREDOMINANT_MARKETCOUNTRY_RANKGROSS_REVENUE_USDUNITSALL_RELEASESNEW_RELEASESCATALOG_RELEASESNEW_RELEASE_GROSS_REV_USDREV_YEAR
02023-05-0129861JompaMusicTier 3ElectronicUSA12111.530958740873.00000011101110.0000002023
12022-06-0121999Dragonette IncTier 3ElectronicUSA11101.0013051041120.000000310310.0000002022
32022-11-0110827Butterfly Music S.R.L.Tier 3PopItaly116974.2016844982793.00000090809080.0000002022
42022-02-0129460Darrow Entertainment ABTier 3RockSweden15396.8865881178293.00000010301030.0000002022
72022-04-0120630Danacord RecordsTier 3ClassicalUSA11272.727428450760.000000475746816.2375842022
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" ], "text/plain": [ " REV_MONTH LABEL_ID LABEL_NAME SERVICE_TIER_NAME \\\n", "0 2023-05-01 29861 JompaMusic Tier 3 \n", "1 2022-06-01 21999 Dragonette Inc Tier 3 \n", "3 2022-11-01 10827 Butterfly Music S.R.L. Tier 3 \n", "4 2022-02-01 29460 Darrow Entertainment AB Tier 3 \n", "7 2022-04-01 20630 Danacord Records Tier 3 \n", "\n", " PRIMARY_GENRE PREDOMINANT_MARKET COUNTRY_RANK GROSS_REVENUE_USD \\\n", "0 Electronic USA 1 2111.530958 \n", "1 Electronic USA 1 1101.001305 \n", "3 Pop Italy 1 16974.201684 \n", "4 Rock Sweden 1 5396.886588 \n", "7 Classical USA 1 1272.727428 \n", "\n", " UNITS ALL_RELEASES NEW_RELEASES CATALOG_RELEASES \\\n", "0 740873.000000 111 0 111 \n", "1 1041120.000000 31 0 31 \n", "3 4982793.000000 908 0 908 \n", "4 1178293.000000 103 0 103 \n", "7 450760.000000 475 7 468 \n", "\n", " NEW_RELEASE_GROSS_REV_USD REV_YEAR \n", "0 0.000000 2023 \n", "1 0.000000 2022 \n", "3 0.000000 2022 \n", "4 0.000000 2022 \n", "7 16.237584 2022 " ] }, "execution_count": 129, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tier3_3years = tier3[tier3['REV_YEAR'].isin([2023, 2022, 2021])].copy()\n", "tier3_3years.head() " ] }, { "cell_type": "markdown", "id": "6b3f21d3-ec40-4d3c-9a8a-0345190c251a", "metadata": {}, "source": [ "#### Preparing the table" ] }, { "cell_type": "code", "execution_count": 130, "id": "5d8d9fef-35cf-4688-89f9-cc33e222bd2c", "metadata": {}, "outputs": [], "source": [ "p1_tier3_3years = pd.pivot_table(tier3_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='GROSS_REVENUE_USD').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 131, "id": "1f9f96e4-9ade-4cb4-a2f3-1ca5d731fef7", "metadata": {}, "outputs": [], "source": [ "p1_tier3_3years = p1_tier3_3years.rename(columns={2021 : 'GROSS_REVENUE_USD_2021', \n", " 2022: 'GROSS_REVENUE_USD_2022', \n", " 2023: 'GROSS_REVENUE_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 132, "id": "791a79a0-15f2-4468-a0f1-588d0e34c2b4", "metadata": {}, "outputs": [], "source": [ "p2_tier3_3years = pd.pivot_table(tier3_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='ALL_RELEASES').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 133, "id": "56611495-bf2d-4d17-b8f0-7971701c1e8c", "metadata": {}, "outputs": [], "source": [ "p2_tier3_3years = p2_tier3_3years.rename(columns={2021 : 'ALL_RELEASES_2021', \n", " 2022: 'ALL_RELEASES_2022', \n", " 2023: 'ALL_RELEASES_2023'})\n" ] }, { "cell_type": "code", "execution_count": 134, "id": "831a4be5-09ab-4fb4-ad8b-ab6a6da40f85", "metadata": {}, "outputs": [], "source": [ "p3_tier3_3years = pd.pivot_table(tier3_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASES').reset_index().rename_axis(None, axis=1)\n" ] }, { "cell_type": "code", "execution_count": 135, "id": "2d37e375-8fb0-479a-a72f-95c2e1205756", "metadata": {}, "outputs": [], "source": [ "p3_tier3_3years = p3_tier3_3years.rename(columns={2021 : 'NEW_RELEASES_2021', \n", " 2022: 'NEW_RELEASES_2022', \n", " 2023: 'NEW_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 136, "id": "7a09dfa7-6f85-4fe4-b9cc-96be70ca89b5", "metadata": {}, "outputs": [], "source": [ "p4_tier3_3years = pd.pivot_table(tier3_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='CATALOG_RELEASES').reset_index().rename_axis(None, axis=1)\n", "\n" ] }, { "cell_type": "code", "execution_count": 137, "id": "0077bfe8-87d7-42bc-89e5-2d7740fbdd93", "metadata": {}, "outputs": [], "source": [ "p4_tier3_3years = p4_tier3_3years.rename(columns={2021 : 'CATALOG_RELEASES_2021', \n", " 2022: 'CATALOG_RELEASES_2022', \n", " 2023: 'CATALOG_RELEASES_2023'})" ] }, { "cell_type": "code", "execution_count": 138, "id": "f82a2ea3-82d9-4c21-ba6e-7025b7becedf", "metadata": {}, "outputs": [], "source": [ "p5_tier3_3years = pd.pivot_table(tier3_3years, \n", " index=['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'], \n", " columns=['REV_YEAR'],\n", " values='NEW_RELEASE_GROSS_REV_USD').reset_index().rename_axis(None, axis=1)" ] }, { "cell_type": "code", "execution_count": 139, "id": "60281b7d-b43b-4099-a4ea-c31d818fc873", "metadata": {}, "outputs": [], "source": [ "p5_tier3_3years = p5_tier3_3years.rename(columns={2021 : 'NEW_RELEASE_GROSS_REV_USD_2021', \n", " 2022: 'NEW_RELEASE_GROSS_REV_USD_2022', \n", " 2023: 'NEW_RELEASE_GROSS_REV_USD_2023'})" ] }, { "cell_type": "code", "execution_count": 140, "id": "3fca7461-069d-46e5-88fc-e238282ca9af", "metadata": {}, "outputs": [], "source": [ "\n", "merged1_2_tier3_3years = pd.merge(p1_tier3_3years, p2_tier3_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merged3_4_tier3_3years = pd.merge(p3_tier3_3years, p4_tier3_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "merges_tier3_3years = pd.merge(merged1_2_tier3_3years, merged3_4_tier3_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])\n", "\n", "\n", "merged_tier3_3years = pd.merge(merges_tier3_3years, p5_tier3_3years, on =['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET'])" ] }, { "cell_type": "code", "execution_count": 141, "id": "c9efe0ce-bab7-48b6-9514-1340371c3b40", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['LABEL_ID', 'PRIMARY_GENRE', 'PREDOMINANT_MARKET',\n", " 'GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023', 'ALL_RELEASES_2021', 'ALL_RELEASES_2022',\n", " 'ALL_RELEASES_2023', 'NEW_RELEASES_2021', 'NEW_RELEASES_2022',\n", " 'NEW_RELEASES_2023', 'CATALOG_RELEASES_2021', 'CATALOG_RELEASES_2022',\n", " 'CATALOG_RELEASES_2023', 'NEW_RELEASE_GROSS_REV_USD_2021',\n", " 'NEW_RELEASE_GROSS_REV_USD_2022', 'NEW_RELEASE_GROSS_REV_USD_2023'],\n", " dtype='object')" ] }, "execution_count": 141, "metadata": {}, "output_type": "execute_result" } ], "source": [ "merged_tier3_3years.columns" ] }, { "cell_type": "code", "execution_count": 142, "id": "37805fa2-0d39-4679-97a8-ce309625e00b", "metadata": {}, "outputs": [], "source": [ "filtered_tier3_3years = merged_tier3_3years[merged_tier3_3years[['GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023']].notnull().all(axis=1)].copy()" ] }, { "cell_type": "code", "execution_count": 143, "id": "a348c3b6-c995-4dca-a61b-7853ffc64978", "metadata": {}, "outputs": [], "source": [ "filtered_tier3_3years = filtered_tier3_3years.replace([np.inf,-np.inf], 0)" ] }, { "cell_type": "code", "execution_count": 144, "id": "2f2f0f9c-7100-4236-bf98-6d1a8202b3ec", "metadata": {}, "outputs": [], "source": [ "filtered_tier3_3years['total_revenue_21-23'] = filtered_tier3_3years['GROSS_REVENUE_USD_2021'] + filtered_tier3_3years['GROSS_REVENUE_USD_2022'] + filtered_tier3_3years['GROSS_REVENUE_USD_2023']\n", "filtered_tier3_3years['Growth_rate_2021_2022'] = (filtered_tier3_3years['GROSS_REVENUE_USD_2022'] - filtered_tier3_3years['GROSS_REVENUE_USD_2021']) / filtered_tier3_3years['GROSS_REVENUE_USD_2021'] *100\n", "filtered_tier3_3years['Growth_rate_2022_2023'] = (filtered_tier3_3years['GROSS_REVENUE_USD_2023'] - filtered_tier3_3years['GROSS_REVENUE_USD_2022']) / filtered_tier3_3years['GROSS_REVENUE_USD_2022'] *100\n", "\n", "filtered_tier3_3years['new_all_releases_ratio_2021'] = filtered_tier3_3years['NEW_RELEASES_2021']/filtered_tier3_3years['ALL_RELEASES_2021']\n", "filtered_tier3_3years['new_all_releases_ratio_2022'] = filtered_tier3_3years['NEW_RELEASES_2022']/filtered_tier3_3years['ALL_RELEASES_2022']\n", "filtered_tier3_3years['new_all_releases_ratio_2023'] = filtered_tier3_3years['NEW_RELEASES_2023']/filtered_tier3_3years['ALL_RELEASES_2023']\n", "\n", "filtered_tier3_3years['total_revenue_new_releases_21-23'] = filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2021'] + filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2022'] + filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2023']\n", "filtered_tier3_3years['Growth_rate_new_realeases_2021_2022'] = (filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2022'] - filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2021']) / filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2021'] *100\n", "filtered_tier3_3years['Growth_rate_new_releases_2022_2023'] = (filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2023'] - filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2022']) / filtered_tier3_3years['NEW_RELEASE_GROSS_REV_USD_2022'] *100" ] }, { "cell_type": "markdown", "id": "008dd8f3-fc4d-42d0-90bb-7fd31d15abbc", "metadata": {}, "source": [ "## K-Prototype" ] }, { "cell_type": "code", "execution_count": 145, "id": "f1703972-7d38-4f04-b267-2beb0c111b7e", "metadata": {}, "outputs": [], "source": [ "cols_tier3 = ['PRIMARY_GENRE', 'PREDOMINANT_MARKET',\n", " 'GROSS_REVENUE_USD_2021', 'GROSS_REVENUE_USD_2022',\n", " 'GROSS_REVENUE_USD_2023', 'ALL_RELEASES_2021', 'ALL_RELEASES_2022',\n", " 'ALL_RELEASES_2023', 'NEW_RELEASES_2021', 'NEW_RELEASES_2022',\n", " 'NEW_RELEASES_2023', 'CATALOG_RELEASES_2021', 'CATALOG_RELEASES_2022',\n", " 'CATALOG_RELEASES_2023', 'NEW_RELEASE_GROSS_REV_USD_2021',\n", " 'NEW_RELEASE_GROSS_REV_USD_2022', 'NEW_RELEASE_GROSS_REV_USD_2023',\n", " 'total_revenue_21-23', 'Growth_rate_2021_2022', 'Growth_rate_2022_2023',\n", " 'new_all_releases_ratio_2021', 'new_all_releases_ratio_2022',\n", " 'new_all_releases_ratio_2023', 'total_revenue_new_releases_21-23',\n", " 'Growth_rate_new_realeases_2021_2022',\n", " 'Growth_rate_new_releases_2022_2023']" ] }, { "cell_type": "code", "execution_count": 146, "id": "0777ae3f-5d11-41f1-8687-bff6ac7f1c76", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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PRIMARY_GENREPREDOMINANT_MARKETGROSS_REVENUE_USD_2021GROSS_REVENUE_USD_2022GROSS_REVENUE_USD_2023ALL_RELEASES_2021ALL_RELEASES_2022ALL_RELEASES_2023NEW_RELEASES_2021NEW_RELEASES_2022...NEW_RELEASE_GROSS_REV_USD_2023total_revenue_21-23Growth_rate_2021_2022Growth_rate_2022_2023new_all_releases_ratio_2021new_all_releases_ratio_2022new_all_releases_ratio_2023total_revenue_new_releases_21-23Growth_rate_new_realeases_2021_2022Growth_rate_new_releases_2022_2023
0Latin MusicUSA1.0582030.6046550.1660601.0000001.0000001.0000000.0000000.000000...0.0000001.828917-42.860234-72.5364170.0000000.0000000.0000000.000000NaNNaN
1ElectronicUSA2138.6596391551.3070781309.957888220.750000232.833333237.5000005.9166676.166667...2.6061234999.924606-27.463583-15.5577960.0268030.0264850.006316209.497826-89.556616-86.678585
2World MusicUSA1.7621901.0777600.9085094.0000004.0000004.0000000.0000000.000000...0.0000003.748459-38.839717-15.7040250.0000000.0000000.0000000.000000NaNNaN
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4PopUSA24.61234914.48088310.50911990.91666778.25000074.7500000.0000000.000000...0.00000049.602352-41.164157-27.4276350.0000000.0000000.0000000.000000NaNNaN
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5 rows × 26 columns

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" ], "text/plain": [ " PRIMARY_GENRE PREDOMINANT_MARKET GROSS_REVENUE_USD_2021 \\\n", "0 Latin Music USA 1.058203 \n", "1 Electronic USA 2138.659639 \n", "2 World Music USA 1.762190 \n", "3 Spoken Word Japan 17220.019913 \n", "4 Pop USA 24.612349 \n", "\n", " GROSS_REVENUE_USD_2022 GROSS_REVENUE_USD_2023 ALL_RELEASES_2021 \\\n", "0 0.604655 0.166060 1.000000 \n", "1 1551.307078 1309.957888 220.750000 \n", "2 1.077760 0.908509 4.000000 \n", "3 16624.506540 10527.872258 1009.333333 \n", "4 14.480883 10.509119 90.916667 \n", "\n", " ALL_RELEASES_2022 ALL_RELEASES_2023 NEW_RELEASES_2021 NEW_RELEASES_2022 \\\n", "0 1.000000 1.000000 0.000000 0.000000 \n", "1 232.833333 237.500000 5.916667 6.166667 \n", "2 4.000000 4.000000 0.000000 0.000000 \n", "3 784.500000 651.833333 0.000000 0.000000 \n", "4 78.250000 74.750000 0.000000 0.000000 \n", "\n", " ... NEW_RELEASE_GROSS_REV_USD_2023 total_revenue_21-23 \\\n", "0 ... 0.000000 1.828917 \n", "1 ... 2.606123 4999.924606 \n", "2 ... 0.000000 3.748459 \n", "3 ... 0.000000 44372.398711 \n", "4 ... 0.000000 49.602352 \n", "\n", " Growth_rate_2021_2022 Growth_rate_2022_2023 new_all_releases_ratio_2021 \\\n", "0 -42.860234 -72.536417 0.000000 \n", "1 -27.463583 -15.557796 0.026803 \n", "2 -38.839717 -15.704025 0.000000 \n", "3 -3.458262 -36.672573 0.000000 \n", "4 -41.164157 -27.427635 0.000000 \n", "\n", " new_all_releases_ratio_2022 new_all_releases_ratio_2023 \\\n", "0 0.000000 0.000000 \n", "1 0.026485 0.006316 \n", "2 0.000000 0.000000 \n", "3 0.000000 0.000000 \n", "4 0.000000 0.000000 \n", "\n", " total_revenue_new_releases_21-23 Growth_rate_new_realeases_2021_2022 \\\n", "0 0.000000 NaN \n", "1 209.497826 -89.556616 \n", "2 0.000000 NaN \n", "3 0.000000 NaN \n", "4 0.000000 NaN \n", "\n", " Growth_rate_new_releases_2022_2023 \n", "0 NaN \n", "1 -86.678585 \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "\n", "[5 rows x 26 columns]" ] }, "execution_count": 146, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier3 = filtered_tier3_3years[cols_tier3].copy()\n", "subtier3.head()" ] }, { "cell_type": "code", "execution_count": 147, "id": "771e82ad-c7da-437d-af3d-5e9bed99b862", "metadata": {}, "outputs": [], "source": [ "\n", "subtier3 = subtier3.replace([np.inf,-np.inf], 0)\n", "subtier3 = subtier3.fillna(0)" ] }, { "cell_type": "code", "execution_count": 148, "id": "74d52816-674c-4905-8c8b-fe8572463006", "metadata": {}, "outputs": [], "source": [ "\n", "scaler_kproto =MinMaxScaler()\n", "le = LabelEncoder()\n", "\n", "numeric_cols = subtier3.select_dtypes(include=[np.number]).columns\n", "subtier3[numeric_cols] = scaler_kproto.fit_transform(subtier3[numeric_cols])\n", "\n", "categorical_cols = subtier3.select_dtypes(include=['object']).columns\n", "subtier3[categorical_cols] = subtier3[categorical_cols].apply(le.fit_transform)" ] }, { "cell_type": "code", "execution_count": 149, "id": "7fe2f099-d9b0-4cf4-a379-fbb522292aab", "metadata": {}, "outputs": [], "source": [ "dfMatrix = subtier3.to_numpy()\n" ] }, { "cell_type": "code", "execution_count": 151, "id": "7448b1a7-0930-492f-b222-26fdf2866fde", "metadata": {}, "outputs": [ { "data": { "image/png": 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pq1a6HSIiIq/DIOTG/FQSEsI5YJqIiKizMAi5OfmeYxwwTURE1OEYhNxcQnfnESHOJURERNTRGITcXCLvQk9ERNRpGITcnDy7NE+NERERdTgGITeXGNEwl9AZcy2q6+oV7oaIiMi7MAi5udAgNUICAwAAJy7wEnoiIqKOxCDkARI4ToiIiKhTMAh5AOfpsePneeUYERFRR2IQ8gDygGkeESIiIupQDEIeQL4LPYMQERFRh2IQ8gDOI0LHz1dCCN58lYiIqKMwCHmA+Mb7jVlq63Gxqk7hboiIiLwHg5AH0Ab4oUeIDgDHCREREXUkBiEPcen0GIMQERFRR2EQ8hAcME1ERNTxGIQ8xKVJFTmXEBERUUdhEPIQid2dkyryiBAREVFHYRDyEImNR4SKS6thd/ASeiIioo7AIOQhYkJ0UPurUGd34HRZjdLtEBEReYV2B6GdO3finnvuQUxMDCRJwueffy5vs9lsyMzMRFJSEoKCghATE4OJEyfizJkzLvuIj4+HJEkuy+LFi11qfvjhB9x+++3QarWIjY3FkiVLmvWyceNG9O/fH1qtFklJSfjyyy9dtgshMH/+fERHR0On0yE1NRVHjhxp71t2C34qCfHhgQCA4xwnRERE1CHaHYSqqqowdOhQrFy5stm26upq7N+/H/PmzcP+/fvx2WefobCwEPfee2+z2pdeeglnz56Vl2eeeUbeZrFYMGbMGMTFxSEvLw9Lly7FggULsGbNGrlm165dGD9+PKZMmYLvv/8eGRkZyMjIQEFBgVyzZMkSvPnmm1i9ejVyc3MRFBSEtLQ01NbWtvdtuwXehZ6IiKiDiesAQGzatKnVmj179ggAori4WF4XFxcnli9ffsXnvP322yI0NFRYrVZ5XWZmpujXr5/8eNy4cSI9Pd3lecnJyeKpp54SQgjhcDiE0WgUS5culbeXl5cLjUYj1q9f35a3J8xmswAgzGZzm+o726IvfxRxmZvFC5sOKt0KERGR22rP93enjxEym82QJAkhISEu6xcvXozw8HDceOONWLp0Kerr6+VtOTk5GDVqFNRqtbwuLS0NhYWFKCsrk2tSU1Nd9pmWloacnBwAQFFREUwmk0uNwWBAcnKyXHM5q9UKi8XisrgT3oWeiIioY/l35s5ra2uRmZmJ8ePHQ6/Xy+ufffZZDB8+HGFhYdi1axfmzp2Ls2fP4vXXXwcAmEwmJCQkuOwrKipK3hYaGgqTySSva1pjMpnkuqbPa6nmcosWLcLChQuv4x13rkSeGiMiIupQnRaEbDYbxo0bByEEVq1a5bJt9uzZ8u9DhgyBWq3GU089hUWLFkGj0XRWS1c1d+5cl94sFgtiY2MV6+dyzjFCp8trUFNnh07tp3BHREREnq1TTo05Q1BxcTGysrJcjga1JDk5GfX19Thx4gQAwGg0oqSkxKXG+dhoNLZa03R70+e1VHM5jUYDvV7vsriTsCA1DLoAAMCJUh4VIiIiul4dHoScIejIkSP45ptvEB4eftXn5OfnQ6VSITIyEgCQkpKCnTt3wmazyTVZWVno168fQkND5Zrs7GyX/WRlZSElJQUAkJCQAKPR6FJjsViQm5sr13gaSZJ45RgREVEHavepscrKShw9elR+XFRUhPz8fISFhSE6OhoPPPAA9u/fj82bN8Nut8vjccLCwqBWq5GTk4Pc3FzcddddCA4ORk5ODmbNmoVHHnlEDjkPP/wwFi5ciClTpiAzMxMFBQVYsWIFli9fLr/uc889hzvuuAPLli1Deno6PvnkE+zbt0++xF6SJMycOROvvPIKbrjhBiQkJGDevHmIiYlBRkbG9XxmikrsHoT8U+U4fp5zCREREV239l6Stm3bNgGg2TJp0iRRVFTU4jYAYtu2bUIIIfLy8kRycrIwGAxCq9WKAQMGiFdffVXU1ta6vM6BAwfEbbfdJjQajejRo4dYvHhxs142bNgg+vbtK9RqtRg0aJDYsmWLy3aHwyHmzZsnoqKihEajEaNHjxaFhYVtfq/udvm8EEK8lf2ziMvcLGZ9+r3SrRAREbml9nx/S0II3rjqCiwWCwwGA8xms9uMF9ryw1lM/3g/buwVgk2/vVXpdoiIiNxOe76/ea8xD+OcS+j4+SowwxIREV0fBiEPEx/eEITMNTaUVduuUk1EREStYRDyMDq1H2IMWgBAEW++SkREdF0YhDxQYvduAIBj53kJPRER0fVgEPJAnEuIiIioYzAIeSA5CPGIEBER0XVhEPJA8pVjHCNERER0XRiEPFBiRMMYoROl1bA7eAk9ERHRtWIQ8kA9QnVQ+6lQV+/AmfIapdshIiLyWAxCHshPJSEuPBAAcJwDpomIiK4Zg5CHujRgmuOEiIiIrhWDkIdKkAdM84gQERHRtWIQ8lC9GwdMcy4hIiKia8cg5KESmtx8lYiIiK4Ng5CHco4ROmOuQa3NrnA3REREnolByEOFB6mh1/pDCOBEKY8KERERXQsGIQ8lSRISGm++ylttEBERXRsGIQ+WGMErx4iIiK4Hg5AHk4MQjwgRERFdEwYhD+a8cqyIN18lIiK6JgxCHsx581WeGiMiIro2DEIeLD6i4X5j5dU2lFXVKdwNERGR52EQ8mCBan9EG7QAeFSIiIjoWjAIebhEeYZpjhMiIiJqLwYhDyffhZ5HhIiIiNqNQcjDJfDmq0RERNeMQcjDJfLmq0RERNeMQcjDOSdVLCqtgsMhFO6GiIjIszAIebgeIToE+Emoq3fgjLlG6XaIiIg8CoOQh/P3UyEunKfHiIiIrgWDkBfglWNERETXhkHICyQyCBEREV0TBiEv4Lxy7BgnVSQiImoXBiEvwLmEiIiIrg2DkBdwjhE6XV6DWptd4W6IiIg8B4OQF4jopkaw1h9CAMWl1Uq3Q0RE5DEYhLyAJElNBkxznBAREVFbMQh5CefpsWOcS4iIiKjNGIS8RGJ3DpgmIiJqr3YHoZ07d+Kee+5BTEwMJEnC559/7rJdCIH58+cjOjoaOp0OqampOHLkiEvNxYsXMWHCBOj1eoSEhGDKlCmorHQ9pfPDDz/g9ttvh1arRWxsLJYsWdKsl40bN6J///7QarVISkrCl19+2e5evAUnVSQiImq/dgehqqoqDB06FCtXrmxx+5IlS/Dmm29i9erVyM3NRVBQENLS0lBbWyvXTJgwAYcOHUJWVhY2b96MnTt34sknn5S3WywWjBkzBnFxccjLy8PSpUuxYMECrFmzRq7ZtWsXxo8fjylTpuD7779HRkYGMjIyUFBQ0K5evIUzCB3nXEJERERtJ64DALFp0yb5scPhEEajUSxdulReV15eLjQajVi/fr0QQojDhw8LAGLv3r1yzVdffSUkSRKnT58WQgjx9ttvi9DQUGG1WuWazMxM0a9fP/nxuHHjRHp6uks/ycnJ4qmnnmpzL1djNpsFAGE2m9tUr6TKWpuIy9ws4jI3i4uV1qs/gYiIyEu15/u7Q8cIFRUVwWQyITU1VV5nMBiQnJyMnJwcAEBOTg5CQkIwcuRIuSY1NRUqlQq5ublyzahRo6BWq+WatLQ0FBYWoqysTK5p+jrOGufrtKWXy1mtVlgsFpfFUwRp/GHUawEARaU8PUZERNQWHRqETCYTACAqKsplfVRUlLzNZDIhMjLSZbu/vz/CwsJcalraR9PXuFJN0+1X6+VyixYtgsFgkJfY2Ng2vGv34bzVBu9CT0RE1Da8aqyJuXPnwmw2y8upU6eUbqldEjiXEBERUbt0aBAyGo0AgJKSEpf1JSUl8jaj0Yhz5865bK+vr8fFixddalraR9PXuFJN0+1X6+VyGo0Ger3eZfEkvHKMiIiofTo0CCUkJMBoNCI7O1teZ7FYkJubi5SUFABASkoKysvLkZeXJ9d8++23cDgcSE5Olmt27twJm80m12RlZaFfv34IDQ2Va5q+jrPG+Tpt6cXb9G6cS4inxoiIiNqm3UGosrIS+fn5yM/PB9AwKDk/Px8nT56EJEmYOXMmXnnlFXzxxRc4ePAgJk6ciJiYGGRkZAAABgwYgLvvvhtTp07Fnj178J///AczZszAQw89hJiYGADAww8/DLVajSlTpuDQoUP49NNPsWLFCsyePVvu47nnnsPWrVuxbNky/PTTT1iwYAH27duHGTNmAECbevE2TY8IORxC4W6IiIg8QHsvSdu2bZsA0GyZNGmSEKLhsvV58+aJqKgoodFoxOjRo0VhYaHLPkpLS8X48eNFt27dhF6vF5MnTxYVFRUuNQcOHBC33Xab0Gg0okePHmLx4sXNetmwYYPo27evUKvVYtCgQWLLli0u29vSS2s86fJ5IYSw1dtFnz9sEXGZm8UvZdVKt0NERKSI9nx/S0IIHjq4AovFAoPBALPZ7DHjhUYv245j56vwtyk34/YbuivdDhERUZdrz/c3rxrzMgkRvOcYERFRWzEIeRnOJURERNR2DEJeJtF5zzEeESIiIroqBiEvw0kViYiI2o5ByMskNJ4a+6WsBtZ6u8LdEBERuTcGIS/TvZsGwRp/CAEUl1Yr3Q4REZFbYxDyMpIkyUeFOGCaiIiodQxCXihBHjDNcUJEREStYRDyQonOuYR4RIiIiKhVDEJeyHlqjJMqEhERtY5ByAtxLiEiIqK2YRDyQs4xQher6lBeXadwN0RERO6LQcgLBWn8EaXXAODpMSIiotYwCHkp+coxDpgmIiK6IgYhL5XYnXehJyIiuhoGIS+VGMErx4iIiK6GQchLJTZeQn/sPCdVJCIiuhIGIS+V0Dip4onSKjgcQuFuiIiI3BODkJfqGaqDv0pCrc0Bk6VW6XaIiIjcEoOQlwrwU6FXeCAAXjlGRER0JQxCXuzSgGmOEyIiImoJg5AXS+CtNoiIiFrFIOTFnHMJ8dQYERFRyxiEvFgC5xIiIiJqFYOQF3OOEfqlrBrWervC3RAREbkfBiEv1j1Yg24afzgEcLK0Wul2iIiI3A6DkBeTJIkDpomIiFrBIOTlOE6IiIjoyhiEvJzznmPHec8xIiKiZhiEvByPCBEREV0Zg5CXS4zgXEJERERXwiDk5RIaT42VVtXBXG1TuBsiIiL3wiDk5bpp/BEZrAEAFJXyqBAREVFTDEI+QL6EngOmiYiIXDAI+QDnPcc4YJqIiMgVg5APSOSkikRERC1iEPIBl06NMQgRERE1xSDkA5yTKp64UAWHQyjcDRERkfvo8CAUHx8PSZKaLdOnTwcA3Hnnnc22TZs2zWUfJ0+eRHp6OgIDAxEZGYk5c+agvr7epWb79u0YPnw4NBoN+vTpg7Vr1zbrZeXKlYiPj4dWq0VycjL27NnT0W/XI8SGBcJfJaHGZkdJRa3S7RAREbmNDg9Ce/fuxdmzZ+UlKysLAPCb3/xGrpk6dapLzZIlS+Rtdrsd6enpqKurw65du7Bu3TqsXbsW8+fPl2uKioqQnp6Ou+66C/n5+Zg5cyaeeOIJfP3113LNp59+itmzZ+PFF1/E/v37MXToUKSlpeHcuXMd/ZbdXoCfCr3CAgHw9BgREVFTHR6EunfvDqPRKC+bN29G7969cccdd8g1gYGBLjV6vV7e9q9//QuHDx/Ghx9+iGHDhmHs2LF4+eWXsXLlStTV1QEAVq9ejYSEBCxbtgwDBgzAjBkz8MADD2D58uXyfl5//XVMnToVkydPxsCBA7F69WoEBgbivffe6+i37BF4F3oiIqLmOnWMUF1dHT788EM8/vjjkCRJXv/RRx8hIiICgwcPxty5c1FdXS1vy8nJQVJSEqKiouR1aWlpsFgsOHTokFyTmprq8lppaWnIycmRXzcvL8+lRqVSITU1Va7xNfI9x3hEiIiISObfmTv//PPPUV5ejscee0xe9/DDDyMuLg4xMTH44YcfkJmZicLCQnz22WcAAJPJ5BKCAMiPTSZTqzUWiwU1NTUoKyuD3W5vseann366Yr9WqxVWq1V+bLFY2v+m3ZRzLqHjFzipIhERkVOnBqF3330XY8eORUxMjLzuySeflH9PSkpCdHQ0Ro8ejWPHjqF3796d2c5VLVq0CAsXLlS0h87Cu9ATERE112mnxoqLi/HNN9/giSeeaLUuOTkZAHD06FEAgNFoRElJiUuN87HRaGy1Rq/XQ6fTISIiAn5+fi3WOPfRkrlz58JsNsvLqVOn2vBOPYPzEvpTF6tRV+9QuBsiIiL30GlB6P3330dkZCTS09NbrcvPzwcAREdHAwBSUlJw8OBBl6u7srKyoNfrMXDgQLkmOzvbZT9ZWVlISUkBAKjVaowYMcKlxuFwIDs7W65piUajgV6vd1m8RWSwBkFqPzgEcPIijwoREREBnRSEHA4H3n//fUyaNAn+/pfOvh07dgwvv/wy8vLycOLECXzxxReYOHEiRo0ahSFDhgAAxowZg4EDB+LRRx/FgQMH8PXXX+OFF17A9OnTodE03EV92rRpOH78OH73u9/hp59+wttvv40NGzZg1qxZ8mvNnj0b77zzDtatW4cff/wRTz/9NKqqqjB58uTOeMtuT5IkJHTnDNNERERNdcoYoW+++QYnT57E448/7rJerVbjm2++wRtvvIGqqirExsbi/vvvxwsvvCDX+Pn5YfPmzXj66aeRkpKCoKAgTJo0CS+99JJck5CQgC1btmDWrFlYsWIFevbsib/+9a9IS0uTax588EGcP38e8+fPh8lkwrBhw7B169ZmA6h9SUJENxSctnCcEBERUSNJCMF7LlyBxWKBwWCA2Wz2itNky7N+xorsI3hwZCxee2CI0u0QERF1ivZ8f/NeYz7EOWCaR4SIiIgaMAj5EM4uTURE5IpByIc4g9CFSisstTaFuyEiIlIeg5APCdYGoHtww5V3vNUGERERg5DP4QzTRERElzAI+Zje8lxCvOcYERERg5CP4YBpIiKiSxiEfExCRONd6DlGiIiIiEHI1zSdS4hzaRIRka9jEPIxsaGB8FNJqLHZUWKxKt0OERGRohiEfIzaX4XYUB0ADpgmIiJiEPJBid0bxwlxwDQREfk4BiEfxLmEiIiIGjAI+aBEziVEREQEgEHIJ/GIEBERUQMGIR+U2DiX0KmyGtTVOxTuhoiISDkMQj4oSq9BoNoPdofAyYvVSrdDRESkGAYhHyRJEk+PERERgUHIZ10KQhwwTUREvotByEfJcwnxnmNEROTDGIR8VCLvQk9ERMQg5Ks4RoiIiIhByGclNE6qeL7Ciopam8LdEBERKYNByEfptQGI6KYBwKNCRETkuxiEfFgiT48REZGPYxDyYc57jh3jlWNEROSjGIR8GAdMExGRr2MQ8mGcVJGIiHwdg5APc06qWHS+CkIIhbshIiLqegxCPqxXWCBUElBVZ8e5CqvS7RAREXU5BiEfpvZXITYsEABw7DxPjxERke9hEPJxvISeiIh8GYOQj0uIaBgntOtoKccJERGRz2EQ8nF39usOANhy8Cwy/98PqLc7FO6IiIio6zAI+bhRfbtjyQNDoJKADft+wW8/2o9am13ptoiIiLoEgxBh3MhYrHpkBNT+KvzrcAkee38Pb8RKREQ+gUGIAABpg4xYO/kmdNP4Y/fxixj/zm5cqOQl9URE5N0YhEh2S+8IfPLkfyE8SI2C0xaMW52DX8qqlW6LiIio0zAIkYvBPQzYOC0FPUJ0OH6hCg+sysGRkgql2yIiIuoUHR6EFixYAEmSXJb+/fvL22trazF9+nSEh4ejW7duuP/++1FSUuKyj5MnTyI9PR2BgYGIjIzEnDlzUF9f71Kzfft2DB8+HBqNBn369MHatWub9bJy5UrEx8dDq9UiOTkZe/bs6ei365USu3fD359OQZ/IbjBZavGbv+Tg+5NlSrdFRETU4TrliNCgQYNw9uxZefnuu+/kbbNmzcI///lPbNy4ETt27MCZM2fw61//Wt5ut9uRnp6Ouro67Nq1C+vWrcPatWsxf/58uaaoqAjp6em46667kJ+fj5kzZ+KJJ57A119/Ldd8+umnmD17Nl588UXs378fQ4cORVpaGs6dO9cZb9nrRBt02PhUCobFhqC82oYJf83Fv4+cV7otIiKijiU62IsvviiGDh3a4rby8nIREBAgNm7cKK/78ccfBQCRk5MjhBDiyy+/FCqVSphMJrlm1apVQq/XC6vVKoQQ4ne/+50YNGiQy74ffPBBkZaWJj+++eabxfTp0+XHdrtdxMTEiEWLFrX5vZjNZgFAmM3mNj/H21TW2sQjf90t4jI3iz5/2CI2HzijdEtEREStas/3d6ccETpy5AhiYmKQmJiICRMm4OTJkwCAvLw82Gw2pKamyrX9+/dHr169kJOTAwDIyclBUlISoqKi5Jq0tDRYLBYcOnRIrmm6D2eNcx91dXXIy8tzqVGpVEhNTZVrWmK1WmGxWFwWXxek8cdfJ41EelI0bHaBGev346PcYqXbIiIi6hAdHoSSk5Oxdu1abN26FatWrUJRURFuv/12VFRUwGQyQa1WIyQkxOU5UVFRMJlMAACTyeQSgpzbndtaq7FYLKipqcGFCxdgt9tbrHHuoyWLFi2CwWCQl9jY2Gv6DLyNxt8Pb46/EQ8n94IQwB83FWDltqO8JQcREXk8/47e4dixY+XfhwwZguTkZMTFxWHDhg3Q6XQd/XIdau7cuZg9e7b82GKxMAw18lNJ+FPGYIQHqfHWt0ex9OtCXKyqwx//dwBUKknp9oiIiK5Jp18+HxISgr59++Lo0aMwGo2oq6tDeXm5S01JSQmMRiMAwGg0NruKzPn4ajV6vR46nQ4RERHw8/Nrsca5j5ZoNBro9XqXhS6RJAnPj+mHeb8aCAB497si/N+/H4CN9ycjIiIP1elBqLKyEseOHUN0dDRGjBiBgIAAZGdny9sLCwtx8uRJpKSkAABSUlJw8OBBl6u7srKyoNfrMXDgQLmm6T6cNc59qNVqjBgxwqXG4XAgOztbrqFrN+W2BCz7zVD4qSR8tv80nv4wj/cnIyIiz9TRI7Wff/55sX37dlFUVCT+85//iNTUVBERESHOnTsnhBBi2rRpolevXuLbb78V+/btEykpKSIlJUV+fn19vRg8eLAYM2aMyM/PF1u3bhXdu3cXc+fOlWuOHz8uAgMDxZw5c8SPP/4oVq5cKfz8/MTWrVvlmk8++URoNBqxdu1acfjwYfHkk0+KkJAQl6vRroZXjbUu65BJ9P3jlyIuc7P4zapdwlxTp3RLRERE7fr+7vAg9OCDD4ro6GihVqtFjx49xIMPPiiOHj0qb6+pqRG//e1vRWhoqAgMDBT/5//8H3H27FmXfZw4cUKMHTtW6HQ6ERERIZ5//nlhs9lcarZt2yaGDRsm1Gq1SExMFO+//36zXt566y3Rq1cvoVarxc033yx2797drvfCIHR1ucdLxeD5W0Vc5mZx9xs7RYmlRumWiIjIx7Xn+1sSgpf+XInFYoHBYIDZbOZ4oVYcOmPGpPf24kKlFXHhgfhwSjJiwwKVbouIiHxUe76/ea8xum6DYgz4+7QU9AzVobi0Gvev2oVCE+9PRkRE7o9BiDpEfEQQ/t/Tt6BfVDDOVVjxm9W7kFd8Uem2iIiIWsUgRB0mSq/FhqdSMLxXCCy19Zjw11xsL+S93YiIyH0xCFGHMgQG4MMnknFH3+6otTnwxLp9+Ef+aaXbIiIiahGDEHW4QLU/3pk4EvcOjUG9Q2Dmp/n4IOeE0m0RERE1wyBEnULtr8IbDw7DxJQ4CAHM/8chvPHNz7w/GRERuRUGIeo0KpWEhfcOwnOjbwAAvPHNESz44hAcDoYhIiJyDwxC1KkkScKs/+mLhfcOAgCsyynGrA35vD8ZERG5BQYh6hKTbonHioeGwV8l4R/5ZzD1g32oqeP9yYiISFkMQtRl7hvWA+9MGgltgArbC8/jkXdzYa62Kd0WERH5MAYh6lJ39YvEh1OSodf6I6+4DOP+koNzllql2yIiIh/FIERdbmR8GDZMS0FksAaFJRW4f/UuFJdWKd0WERH5IAYhUkR/ox5/n3YL4sIDcepiDe5flYPDZyxKt0VERD6GQYgU0ys8EBunpWBAtB4XKq14cE0O9hTx/mRERNR1GIRIUZHBWnzy5H/hpvhQVNTW49F3c7H3BMMQERF1DQYhUpxBF4APHk/Gnf26w1rvwJMf7MOJCxwzREREnY9BiNyCTu2HVRNGYEhPA8qqbXh87V6UV9cp3RYREXk5BiFyGzq1H/46cSRiDFocv1CFaR/moa6eM1ATEVHnYRAitxKp1+K9yTehm8Yfu49fxB82HeSNWomIqNMwCJHb6W/U462Hb4RKAv6e9wve3n5M6ZaIiMhLMQiRW7qrX6R8o9alXxfinwfOKNwRERF5IwYhcluPpsTj8VsTAADPbzyAvOIyhTsiIiJvwyBEbu2P6QOQOiASdY2X1Z+6WK10S0RE5EUYhMit+akkrHjoRgyK0aO0qg6T1+6FuYZ3rCcioo7BIERuL0jjj3cn3QSjXouj5yox/aP9sNl5WT0REV0/BiHyCEaDFn+dNBKBaj98d/QC5v+jgJfVExHRdWMQIo8xuIcBbz7UcFn9+j2nsGbncaVbIiIiD8cgRB4ldWAUXkgfCABYvPUnbC04q3BHRETkyRiEyONMvjUeE1PiIAQw89N8HDhVrnRLRETkoRiEyONIkoT5vxqIO/t1R63NgSc+2IfT5TVKt0VERB6IQYg8kr+fCm+NvxH9jcE4X2HF4+/vRUUtL6snIqL2YRAijxWsDcC7j92E7sEaFJZUYMbH36Oel9UTEVE7MAiRR+sRosO7k0ZCG6DCjp/PY+E/D/OyeiIiajMGIfJ4Q3qG4I0Hb4QkAX/bXYz3/nNC6ZaIiMhDMAiRV7h7sBFzx/YHALyy5TCyDpco3BEREXkCBiHyGlNvT8T4m3tBCODZ9d+j4LRZ6ZaIiMjNMQiR15AkCS/dNwi33xCBGpsdU9btxVkzL6snIqIrYxAirxLgp8LKCcNxQ2Q3lFismLJ2H6qs9Uq3RUREbqrDg9CiRYtw0003ITg4GJGRkcjIyEBhYaFLzZ133glJklyWadOmudScPHkS6enpCAwMRGRkJObMmYP6etcvtO3bt2P48OHQaDTo06cP1q5d26yflStXIj4+HlqtFsnJydizZ09Hv2VyM3ptAN577CZEdFPj8FkLnl3/PewOXklGRETNdXgQ2rFjB6ZPn47du3cjKysLNpsNY8aMQVVVlUvd1KlTcfbsWXlZsmSJvM1utyM9PR11dXXYtWsX1q1bh7Vr12L+/PlyTVFREdLT03HXXXchPz8fM2fOxBNPPIGvv/5arvn0008xe/ZsvPjii9i/fz+GDh2KtLQ0nDt3rqPfNrmZ2LBArJk4Ehp/FbJ/OodXthxWuiUiInJDkujkSVfOnz+PyMhI7NixA6NGjQLQcERo2LBheOONN1p8zldffYVf/epXOHPmDKKiogAAq1evRmZmJs6fPw+1Wo3MzExs2bIFBQUF8vMeeughlJeXY+vWrQCA5ORk3HTTTfjzn/8MAHA4HIiNjcUzzzyD3//+91ft3WKxwGAwwGw2Q6/XX8/HQArZ8sNZTP94PwDgpfsGYWJKvLINERFRp2vP93enjxEymxuu3AkLC3NZ/9FHHyEiIgKDBw/G3LlzUV1dLW/LyclBUlKSHIIAIC0tDRaLBYcOHZJrUlNTXfaZlpaGnJwcAEBdXR3y8vJcalQqFVJTU+Ua8n7pQ6IxJ60fAGDBF4ew7SceDSQiokv8O3PnDocDM2fOxK233orBgwfL6x9++GHExcUhJiYGP/zwAzIzM1FYWIjPPvsMAGAymVxCEAD5sclkarXGYrGgpqYGZWVlsNvtLdb89NNPLfZrtVphtVrlxxaL5RrfObmT397ZG8WlVdiw7xfM+Hg//v70LRgQzSN8RETUyUFo+vTpKCgowHfffeey/sknn5R/T0pKQnR0NEaPHo1jx46hd+/endlSqxYtWoSFCxcq9vrUOSRJwisZSTh1sQY5x0sxZe1efD79VkTqtUq3RkRECuu0U2MzZszA5s2bsW3bNvTs2bPV2uTkZADA0aNHAQBGoxElJa4zAzsfG43GVmv0ej10Oh0iIiLg5+fXYo1zH5ebO3cuzGazvJw6daqN75bcndpfhdWPjEBi9yCcMddiyrp9qK7jZfVERL6uw4OQEAIzZszApk2b8O233yIhIeGqz8nPzwcAREdHAwBSUlJw8OBBl6u7srKyoNfrMXDgQLkmOzvbZT9ZWVlISUkBAKjVaowYMcKlxuFwIDs7W665nEajgV6vd1nIexgCA/D+YzchLEiNg6fNmPlJPhy8rJ6IyKd1eBCaPn06PvzwQ3z88ccIDg6GyWSCyWRCTU3DDL/Hjh3Dyy+/jLy8PJw4cQJffPEFJk6ciFGjRmHIkCEAgDFjxmDgwIF49NFHceDAAXz99dd44YUXMH36dGg0GgDAtGnTcPz4cfzud7/DTz/9hLfffhsbNmzArFmz5F5mz56Nd955B+vWrcOPP/6Ip59+GlVVVZg8eXJHv23yEHHhQVjz6Aio/VT41+ESLN7a8ngxIiLyEaKDAWhxef/994UQQpw8eVKMGjVKhIWFCY1GI/r06SPmzJkjzGazy35OnDghxo4dK3Q6nYiIiBDPP/+8sNlsLjXbtm0Tw4YNE2q1WiQmJsqv0dRbb70levXqJdRqtbj55pvF7t272/xezGazANCsN/J8n3//i4jL3CziMjeLj3YXK90OERF1oPZ8f3f6PEKejPMIebcV3xzB8m9+hp9KwvuP3YRRfbsr3RIREXUAt5pHiMhdPTu6D359Yw/YHQLTP9qPn0sqlG6JiIi6GIMQ+SxJkrDo/iTcHB+GCms9Jr+/F+crrFd/IhEReQ0GIfJpGn8//OXREYgPD8Tp8hpM/WAfam12pdsiIqIuwiBEPi80SI33HrsJIYEByD9Vjuc3HOBl9UREPoJBiAhAYvduWP3ICAT4Sdhy8Cz+v38VKt0SERF1AQYhokb/lRiOxb9umMvq7e3H8Pb2ozhdXqNwV0RE1Jl4+XwrePm8b1r2r0K89e1R+XG0QYsRcaEYGReKkfFh6G8Mhr8f/x+CiMhdtef7m0GoFQxCvkkIgdU7juOrgrM4dMYC+2XjhQLVfhgWG4KRcaEYER+GG3uFQK8NUKhbIiK6HINQB2EQouq6euSfKkfeiTLsKy7D/pNlqKh1vVmrJAH9ooIxMj608chRGHqG6iBJkkJdExH5NgahDsIgRJdzOASOnKvEvuKLcjg6ebG6WV1ksKYxGIVhZFwoBsboEcDTaUREXYJBqIMwCFFbnLPUIq+4IRTtKy7DodNm1F92Ok0X4IehsQb5iNHwXqEwBPJ0GhFRZ2AQ6iAMQnQtam12HDhVjn3FZchrXMw1tmZ1faO6yUeMRsaHoldYIE+nERF1AAahDsIgRB3B4RA4dr5SPmqUV1yGogtVzeoiumkwIi4EI+PCMCI+FINjDFD783QaEVF7MQh1EAYh6iwXKq3y0aJ9Jy6i4LQFdXaHS43GX4WhPUMwIj4UvxnRE4nduynULRGRZ2EQ6iAMQtRVam12FJw2N4wzOlGGvOKLKKu+dDotwE/C1NsTMeO/+yBQ7a9gp0RE7o9BqIMwCJFShBA4fqEKecVl2PzDWez8+TwAoEeIDvN+NRBpg6I4noiI6AoYhDoIgxC5AyEEsg6XYOE/D8u3/Lijb3csuHcQEiKCFO6OiMj9tOf7myMxidycJEkYM8iIb2bfgRl39YHaT4UdP59H2vKdWPavQtTU2ZVukYjIYzEIEXkIndoP/zetH7bOvB233xCBOrsDb317FKmv78C/DpnAg7tERO3HIETkYRK7d8MHj9+M1Y8MR4xBi9PlNXjyb3l4fO1eFJc2vyyfiIiujEGIyANJkoS7B0fjm+fvwG/v7I0APwnbCs/jf5bvxOtZP6PWxtNlRERtwSBE5MEC1f743d39sXXmKNzWJwJ19Q68mX0E/7N8B7J/LFG6PSIit8cgROQFenfvhr9NuRlvTxiOaIMWpy7WYMq6fXhi3V6cauGmsERE1IBBiMhLSJKE/02Kxjez78C0O3rDXyXhmx/PIfX1HVjxzRGeLiMiagGDEJGXCdL44/dj+2PrzNtxS+9wWOsdWP7NzxizfCe2/XRO6faIiNwKgxCRl+oTGYyPnkjGW+NvRJReg5MXqzF57V5M/WAfT5cRETViECLyYpIk4Z6hMch+/k48OSoR/ioJWYdL8D/Ld+DP3x6BtZ6ny4jIt/EWG63gLTbI2/xcUoH5/yjA7uMXAQDx4YFYcO8g3NkvUuHOiIg6Dm+xQUQt6hsVjPVT/wsrHhqGyGANTpRW47H392La3/Lk+5gREfkSBiEiHyNJEu4b1gPZz9+BJ25LgJ9KwtZDJoxeth0rtx3l6TIi8ik8NdYKnhojX1BoqsC8fxRgT1HD6bLEiCAsuHcQRvXtrnBnRO1jrbfDXG1DeY0N5dU2lFfXwVxjQ2igGvERgYgNC4TG30/pNqkLtOf7m0GoFQxC5CuEEPg8/zT+tOUnXKi0AgD+N8mIF9IHIiZEp3B35GuaBpqyqjqU19gaH9ehrLoh5Jhr6lBebUNZtQ3m6oaa6rrWj2ZKEhBj0CE+IhBx4UGID3f+DEKvsEDo1AxJ3oJBqIMwCJGvsdTasDzrZ6zbdQIOAegC/PDs6Bsw5bYEqP0750y6EALWegfMNTaYa2ywNP689Hs9LLWXr7PBZnfATyVBJUnwU0muvzddp5LgJ8Flu+qyGj+pcZ0Kl35vUuvf4usAKqlhm14XgNAgNcKD1AgNVCO8mxqBav9O+bw8ibXe3nhkpuHoTMORmoYA0/SojfOxuboh6NRcx+SfKgkw6AIQEqiGQRcAvS4ApZVWFJdWo9Ja3+pzjXot4sIDER8ehLiIxp+NYambhn+enoRBqIMwCJGvOnzGgvn/KMC+4jIAQO/uQXjpvsG4tU9Ei/UOh0CFtV4OKZYa22Xhpf7S75ett9TYUGd3dOXb6xLaABXCAtUI69YYjoLUl8LSZaEpNFCNkEA1/FSS0m03U2uzy39elwfVy/98L9/WEYEmNFANQ2AAQhrDTUhgAEJ0jT8DG9fpAuT1wVp/qFr4HIUQKK2qQ3FpFU5cqG74Wdrws+hCFSy1rYekiG6aJkeQAhEXcemIkkEXcM3v05fYHQLnK6w4Y67BmXLnUgu91h+zx/Tr0NdiEOogDELky4QQ+Gz/aSz66kdcqKwDAIzq2x1Baj/XQFNtQ4W1Htf7L4lKAvS6ABgaF7228afOX15/aV0ANP4qOBwC9Q4BuxBwOATsDgGHELA74LLOLhp/yttday9fV+9wfa5D3gfk350/6+0CllobSivrUFZdh9KqOtTVtz/YSRIQogtAWJC62eIMTGFBGjlchQWq23QqRwiBqjp7i0HF0lq4qW0IN9fyXppSSZDDiiGwIdg4fw/RqREaFCAfwQlpEnyCNS0Hms5SXl0nB6NLQakKxaXVKK2qa/W5oYEBrqfaIi6dcgsNDIAkuV/A7QyWWhvOlNfgbHktTpc3CTvmWpwpr4HJXIt6R/N/KOLDA7F9zl0d2wuDUMdgECICzDU2vP6vQvxtdzFa+DfMhTZAJYcVZ2BpCDD+8uPLQ40hsGF7N42/V3xhOINHWVVDKLriz+o6XKxqWMw1tmt6LV2A36WwFKRGsMYfllrnEblLR2la+vJpj8tDqvxnqXVdd2mbvxxuujrQdAZLrQ0nS6vlYHTiQuPP0iqcq7C2+txgrb98iq1XWCAMugAEawPQTeuPYI0/grX+Db9rA9BN0/DfgTseGayrd6DE0hBwzpobjuQ4w87Z8oagU3GVU49Awylqo16LmBAtog06xIToEBceiPE39+rQfhmEOgiDENElP561YOfP5xGo9pMDjWvo8ecVOdfIZnegvNomB6OLVXW4WF2Hi02OMjUNUher6tp9OjHAT2pzgLk89ASpPT/MdJYqaz2KS11PtTkD01lz7TXtM0jth26N/3MQrA1AsLYxMGn80U1z6XHDusZQ1RisnKEqMMCvzX9mQghcrKrDmfLaZqetnMHnXIW1TUd9QwIDENMYcHqEaBEd0uR3gw6RwRr4+3X+zD0MQh2EQYiI3JHzqNPFysbAVGXFxSobKmtt6KZtHmwMugDoAvy84oibJ6m12XHy4qUjSL+UVaOith4V1npU1tajwmpr+Nm47npPQzYlSWgIUhrXI07OAFVvFzhjvnQay9qG11b7qxBj0CKmMdzEhOgue6x1m4sE2vP97R4dExFRm0mSJJ9G6RUeqHQ7dAXaAD/0jQpG36jgNtVb6+2orK1HpbUxHMm/2y5bZ2v42SREOddV1NbD7hAQAvJjmNvWb2SwRg40zqM68uMQHcKD1F4Zpn0iCK1cuRJLly6FyWTC0KFD8dZbb+Hmm29Wui0iIiKZxt8Pmm5+CO+mueZ9CCFQa3O4HG26FKIuBSqVhCZHdXSIMmh89tS21wehTz/9FLNnz8bq1auRnJyMN954A2lpaSgsLERkJG80SURE3kOSJOjUftCp/RDZtgNRPs/r7zX2+uuvY+rUqZg8eTIGDhyI1atXIzAwEO+9957SrREREZHCvDoI1dXVIS8vD6mpqfI6lUqF1NRU5OTkNKu3Wq2wWCwuCxEREXkvrw5CFy5cgN1uR1RUlMv6qKgomEymZvWLFi2CwWCQl9jY2K5qlYiIiBTg1UGovebOnQuz2Swvp06dUrolIiIi6kRePVg6IiICfn5+KCkpcVlfUlICo9HYrF6j0UCjufbR+kRERORZvPqIkFqtxogRI5CdnS2vczgcyM7ORkpKioKdERERkTvw6iNCADB79mxMmjQJI0eOxM0334w33ngDVVVVmDx5stKtERERkcK8Pgg9+OCDOH/+PObPnw+TyYRhw4Zh69atzQZQExERke/hvcZawXuNEREReZ72fH979RghIiIiotYwCBEREZHPYhAiIiIin8UgRERERD7L668aux7OceS85xgREZHncH5vt+V6MAahVlRUVAAA7zlGRETkgSoqKmAwGFqt4eXzrXA4HDhz5gyCg4MhSZLS7XQai8WC2NhYnDp1itMENOJn0hw/k5bxc2mOn0lz/Exa1lmfixACFRUViImJgUrV+iggHhFqhUqlQs+ePZVuo8vo9Xr+B3oZfibN8TNpGT+X5viZNMfPpGWd8blc7UiQEwdLExERkc9iECIiIiKfxSBE0Gg0ePHFF6HRaJRuxW3wM2mOn0nL+Lk0x8+kOX4mLXOHz4WDpYmIiMhn8YgQERER+SwGISIiIvJZDEJERETksxiEiIiIyGcxCPmoRYsW4aabbkJwcDAiIyORkZGBwsJCpdtyK4sXL4YkSZg5c6bSrSju9OnTeOSRRxAeHg6dToekpCTs27dP6bYUY7fbMW/ePCQkJECn06F37954+eWX23RfI2+yc+dO3HPPPYiJiYEkSfj8889dtgshMH/+fERHR0On0yE1NRVHjhxRptku0tpnYrPZkJmZiaSkJAQFBSEmJgYTJ07EmTNnlGu4i1zt70pT06ZNgyRJeOONN7qkNwYhH7Vjxw5Mnz4du3fvRlZWFmw2G8aMGYOqqiqlW3MLe/fuxV/+8hcMGTJE6VYUV1ZWhltvvRUBAQH46quvcPjwYSxbtgyhoaFKt6aY1157DatWrcKf//xn/Pjjj3jttdewZMkSvPXWW0q31qWqqqowdOhQrFy5ssXtS5YswZtvvonVq1cjNzcXQUFBSEtLQ21tbRd32nVa+0yqq6uxf/9+zJs3D/v378dnn32GwsJC3HvvvQp02rWu9nfFadOmTdi9ezdiYmK6qDMAgkgIce7cOQFA7NixQ+lWFFdRUSFuuOEGkZWVJe644w7x3HPPKd2SojIzM8Vtt92mdBtuJT09XTz++OMu637961+LCRMmKNSR8gCITZs2yY8dDocwGo1i6dKl8rry8nKh0WjE+vXrFeiw613+mbRkz549AoAoLi7umqbcwJU+l19++UX06NFDFBQUiLi4OLF8+fIu6YdHhAgAYDabAQBhYWEKd6K86dOnIz09HampqUq34ha++OILjBw5Er/5zW8QGRmJG2+8Ee+8847SbSnqlltuQXZ2Nn7++WcAwIEDB/Ddd99h7NixCnfmPoqKimAymVz+OzIYDEhOTkZOTo6CnbkXs9kMSZIQEhKidCuKcjgcePTRRzFnzhwMGjSoS1+bN10lOBwOzJw5E7feeisGDx6sdDuK+uSTT7B//37s3btX6VbcxvHjx7Fq1SrMnj0bf/jDH7B37148++yzUKvVmDRpktLtKeL3v/89LBYL+vfvDz8/P9jtdvzpT3/ChAkTlG7NbZhMJgBAVFSUy/qoqCh5m6+rra1FZmYmxo8f7/M3Yn3ttdfg7++PZ599tstfm0GIMH36dBQUFOC7775TuhVFnTp1Cs899xyysrKg1WqVbsdtOBwOjBw5Eq+++ioA4MYbb0RBQQFWr17ts0Fow4YN+Oijj/Dxxx9j0KBByM/Px8yZMxETE+Oznwm1j81mw7hx4yCEwKpVq5RuR1F5eXlYsWIF9u/fD0mSuvz1eWrMx82YMQObN2/Gtm3b0LNnT6XbUVReXh7OnTuH4cOHw9/fH/7+/tixYwfefPNN+Pv7w263K92iIqKjozFw4ECXdQMGDMDJkycV6kh5c+bMwe9//3s89NBDSEpKwqOPPopZs2Zh0aJFSrfmNoxGIwCgpKTEZX1JSYm8zVc5Q1BxcTGysrJ8/mjQv//9b5w7dw69evWS/+0tLi7G888/j/j4+E5/fR4R8lFCCDzzzDPYtGkTtm/fjoSEBKVbUtzo0aNx8OBBl3WTJ09G//79kZmZCT8/P4U6U9att97abGqFn3/+GXFxcQp1pLzq6mqoVK7/H+nn5weHw6FQR+4nISEBRqMR2dnZGDZsGADAYrEgNzcXTz/9tLLNKcgZgo4cOYJt27YhPDxc6ZYU9+ijjzYbk5mWloZHH30UkydP7vTXZxDyUdOnT8fHH3+Mf/zjHwgODpbP2RsMBuh0OoW7U0ZwcHCzMVJBQUEIDw/36bFTs2bNwi233IJXX30V48aNw549e7BmzRqsWbNG6dYUc8899+BPf/oTevXqhUGDBuH777/H66+/jscff1zp1rpUZWUljh49Kj8uKipCfn4+wsLC0KtXL8ycOROvvPIKbrjhBiQkJGDevHmIiYlBRkaGck13stY+k+joaDzwwAPYv38/Nm/eDLvdLv/bGxYWBrVarVTbne5qf1cuD4QBAQEwGo3o169f5zfXJdemkdsB0OLy/vvvK92aW+Hl8w3++c9/isGDBwuNRiP69+8v1qxZo3RLirJYLOK5554TvXr1ElqtViQmJoo//vGPwmq1Kt1al9q2bVuL/45MmjRJCNFwCf28efNEVFSU0Gg0YvTo0aKwsFDZpjtZa59JUVHRFf/t3bZtm9Ktd6qr/V25XFdePi8J4WNToRIRERE14mBpIiIi8lkMQkREROSzGISIiIjIZzEIERERkc9iECIiIiKfxSBEREREPotBiIiIiHwWgxARERH5LAYhIiIi8lkMQkREROSzGISIiIjIZzEIERERkc/6/wHtI+dEbySrhgAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# elbow method allows you to identify the optimal number of clusters\n", "\n", "kp_cs = []\n", "for i in range(1,15):\n", " kprototype = KPrototypes(n_jobs = -1, n_clusters = i, init = 'Huang', n_init=1, random_state = 2024)\n", " kprototype.fit_predict(dfMatrix, categorical =[1,2])\n", " kp_cs.append(kprototype.cost_)\n", "plt.plot(range(1, 15), kp_cs)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 152, "id": "1b9738d1-595f-48f6-a07f-f056279e1fff", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "4" ] }, "execution_count": 152, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_k_knee = KneeLocator(range(1,15), kp_cs, curve='convex', direction='decreasing')\n", "kproto_k_knee.elbow" ] }, { "cell_type": "code", "execution_count": 153, "id": "eba8863a-dce8-44c7-a9e9-e2233a6460cc", "metadata": {}, "outputs": [], "source": [ "kprototype = KPrototypes(n_jobs = -1, n_clusters = kproto_k_knee.elbow, init = 'Huang', gamma = 0.3, random_state = 2023)\n", "kproto_clusters = kprototype.fit_predict(dfMatrix, categorical = [1,2])" ] }, { "cell_type": "code", "execution_count": 154, "id": "f8026f1e-5e10-4db8-ac8d-d314296dcc5a", "metadata": {}, "outputs": [], "source": [ "distance_matrix = gower.gower_matrix(dfMatrix)" ] }, { "cell_type": "code", "execution_count": 155, "id": "17c9a2cc-fad1-46b0-a002-763c094c5275", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.17" ] }, "execution_count": 155, "metadata": {}, "output_type": "execute_result" } ], "source": [ "kproto_silouhette = sklearn.metrics.silhouette_score(distance_matrix, kproto_clusters, metric=\"precomputed\").round(2)\n", "kproto_silouhette" ] }, { "cell_type": "code", "execution_count": 156, "id": "b490a3c2-6280-4cdd-add7-92d93aaa8424", "metadata": {}, "outputs": [], "source": [ "subtier3['Kproto_clusters'] = kprototype.labels_" ] }, { "cell_type": "code", "execution_count": 157, "id": "057c57ff-97a6-47a4-94db-4580be710ada", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "1 1869\n", "0 1480\n", "2 1279\n", "3 701\n", "Name: count, dtype: int64" ] }, "execution_count": 157, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier3['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 158, "id": "45c7b4c3-d880-40de-a2d9-f4920b182ef4", "metadata": {}, "outputs": [], "source": [ "subtier3[\"Kproto_clusters\"] = subtier3[\"Kproto_clusters\"].astype(str)" ] }, { "cell_type": "code", "execution_count": 159, "id": "593fe495-f2c6-47bc-b3a4-52cce0fe500c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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"execution_count": 159, "metadata": {}, "output_type": "execute_result" } ], "source": [ "centroids = pd.DataFrame(kprototype.cluster_centroids_)\n", "centroids.head()" ] }, { "cell_type": "code", "execution_count": 160, "id": "fd6a029f-a351-4c83-aa71-c4d364bcbf4f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Kproto_clusters\n", "1 1869\n", "0 1480\n", "2 1279\n", "3 701\n", "Name: count, dtype: int64" ] }, "execution_count": 160, "metadata": {}, "output_type": "execute_result" } ], "source": [ "subtier3['Kproto_clusters'].value_counts()" ] }, { "cell_type": "code", "execution_count": 161, "id": "ff69a187-fe83-4563-98b1-ece92feeae8b", "metadata": {}, "outputs": [], "source": [ "k_maptier3 = subtier3[['Kproto_clusters']]\n", "unscaled_tier3 = pd.concat([filtered_tier3_3years, k_maptier3], axis=1)" ] }, { "cell_type": "code", "execution_count": 162, "id": "87a03156-8e89-4676-9131-6b52aed31901", "metadata": {}, "outputs": [], "source": [ "unscaled_tier3['SERVICE_TIER_NAME'] = 'Tier_3'" ] }, { "cell_type": "markdown", "id": "1707a841-c891-41ca-8ac1-8265223e1da2", "metadata": {}, "source": [ "## Largest Cluster" ] }, { "cell_type": "code", "execution_count": 163, "id": "a52f1643-a2bc-4ef4-908e-06987e0a8809", "metadata": {}, "outputs": [], "source": [ "k = unscaled_tier3[unscaled_tier3['Kproto_clusters']=='0'].copy()" ] }, { "cell_type": "code", "execution_count": 164, "id": "48c43eb3-ccbf-4acf-b8f2-967fc12fa13c", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 165, "id": "de4c64ed-d024-44fb-9d7e-166e7a647495", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 166, "id": "1d9a20b8-68f7-434c-9934-f3ded3919ae2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 166, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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FhoYKNzc3cePGDWlbVFSU0Gg0Jvf39PQUgwcPLvGYo0ePFhqNRhw/frzYfazprjLlo48+EgBEXFyctM3wMxcfH19k/0GDBgkfH58Sj7lo0SIBQHz33XcmH9dqtQKAACAqV64s/ve//1nU5ie2uyo0NBSenp7w9/fHwIED4eLigvXr16NatWoAgOvXr2P79u0ICwtDVlYWrl69iqtXr+LatWvo0aMHTpw4IaU+w8PDkZeXZxTdb926FTdv3kR4eDiAgmh11apV6NOnD4QQ0vGuXr2KHj16ICMjA/v37zdq48iRI41Se4a/1k6fPm3x9a5YsQL169dHvXr1jM7dpUsXAAUp09KoUKECACArK6vYfSpWrIgLFy7g77//tvo8ISEhaNCggdn7R0VFGd1/9dVXARQUzSpp48aNaN26tVHqv0KFCnjppZdw9uxZ/Pvvv0b7y/lep6amIikpCSNGjDDqxmnSpAm6detm8tpfeeUVi89jidWrV0Ov1yMsLMzo8+fj44PatWsX+fxptVqMHDlS0TZZytANYqqbSm6GTMO6dessHrmYlJSEEydO4IUXXsC1a9ek1zonJwddu3ZFfHx8kWMq/f4bFC6MzcvLw7Vr11CrVi1UrFjR6Ptv1apVaNq0aZGMJ4Ai3XqRkZFGx01MTMTly5cxduxYo0EkvXv3Rr169aTuHycnJzg4OGDnzp24ceOGyfYa3ocNGzYgLy/P8gsu5JNPPsFvv/2G6dOnG2Utb9++XaQLx8DR0RG3b98u9phLlizBd999hzfffBO1a9cuVfseJj4+HtHR0QgLC5N+bwCQ2qfVaos852HtP3bsGKKiohAcHFykJ8Rg06ZN2LhxI2bMmIHq1asjJyfHonY/sd1Vs2fPRp06dZCRkYHvv/8e8fHxRm/SyZMnIYTAf/7zH/znP/8xeYzLly/Dz88PTZs2Rb169bBs2TKMHj0aQEFXVZUqVaQPw5UrV3Dz5k3MmzcP8+bNK/Z4hT2YEjd0pRX3A1mSEydO4OjRo8V2rzx4bksZRt2U9AvgnXfewW+//YbWrVujVq1a6N69O1544QW0b9/e7PMEBgZa1K4Hf/CDgoKgVqstHoZoqXPnzqFNmzZFttevX196vPBIAjnf63PnzgEA6tata/L8W7ZsQU5ODlxcXKTtlr6uljpx4gSEEMV+Edvb2xvd9/PzK/aLX06G9LuBRqMp9mfEUG9QUiAvl/DwcCxYsABjxozBpEmT0LVrVwwYMAADBw58aJ3FiRMnAKDYXxoAkJGRYdQ1r/T7b3D79m3ExMRg4cKFuHjxolHXWEZGhvT/U6dO4fnnnzfrmA+2vaTPf7169fDHH38AKPil/Omnn+LNN9+Et7c32rZti2effRYRERHSyKGQkBA8//zziI6OxsyZM9GpUyf0798fL7zwgslf6sVZtmwZ3n//fYwePRr/93//Z/SYk5MT7t69a/J5d+7cMQrgCtu1axdGjx6NHj16YNq0aWa3pbC7d+/i+vXrRts8PT2h0WiMth07dgzPPfccGjVqJI2wLdx+ACZrO0tqf1paGnr37g13d3esXLmyyDkNOnfuDADo1asX+vXrh0aNGqFChQoYN26cWdf4xAY5rVu3lvoQ+/fvjw4dOuCFF15AcnIyKlSoIP2lM3HiRKmm5kG1atWS/h8eHo5p06bh6tWrcHV1xfr16zFkyBBpWLPheMOGDSv2y6dJkyZG94t70wt/MRQ34ZpOpzN6vl6vR+PGjfHFF1+Y3N/f39/kdnMdPnwYgPFr8qD69esjOTkZGzZswObNm7Fq1Sp88803mDJlCqKjo806T3E/MOZ68PUq6fWzJXPeayWV9nV9GL1eD5VKhU2bNpm8VkMm0FbtMfj888+NPns1atQoNgCuVasW7OzscOjQIavPZ+7nzcnJCfHx8dixYwd+/fVXbN68GcuWLUOXLl2wdevWYj8vwP3vms8++6zYoeVl9Xq/+uqrWLhwIcaPH4/g4GC4u7tDpVJh8ODBVs+1VZq2jx8/Hn369MHatWuxZcsW/Oc//0FMTAy2b9+O5s2bQ6VSYeXKlfjzzz/xyy+/YMuWLRg1ahRmzJiBP//8s8jraMq2bdsQERGB3r17Y+7cuUUe9/X1hU6nw+XLl+Hl5SVtv3v3Lq5du2ZyqPTBgwfRt29fNGrUCCtXrrR6+ow9e/ZIQYTBmTNnjGr2zp8/j+7du8Pd3R0bN24s8oesr68vAJicPyc1NdVk+zMyMtCrVy/cvHkTu3btMns4eFBQEJo3b46ffvqJQY4lNBoNYmJi0LlzZ3z99deYNGkSatasCaDgL8zQ0NCHHiM8PBzR0dFYtWoVvL29kZmZicGDB0uPe3p6wtXVFTqdzqzjmatSpUomK83PnTsnXQNQ8OE4ePAgunbtqshMtIsWLYJKpUK3bt1K3M/FxQXh4eEIDw/H3bt3MWDAAEybNg2TJ0+Go6Oj7G07ceKE0V96J0+ehF6vl36IDX/NPvgaGv4aLMySttWoUQPJyclFth87dkx6XCmGYxd3/ipVqhhlcWwhKCgIQggEBgYWW5heFiIiIoy6FEv6hens7IwuXbpg+/btOH/+vFV/GJT08/ogtVqNrl27omvXrvjiiy/wySef4L333sOOHTsQGhpa7OcxKCgIQEHmSc7vGjmsXLkSkZGRmDFjhrTtzp07RV6ToKAg6Q8nSxX+/BfuVjFse/BnLygoCG+++SbefPNNnDhxAs2aNcOMGTOwePFiaZ+2bduibdu2mDZtGpYsWYKhQ4di6dKlD52bau/evdIAleXLl5sMRgyBaGJiIp555hlpe2JiIvR6fZFA9dSpU+jZsye8vLywceNGswKt4jRt2hTbtm0z2lZ4/ptr166he/fuyM3NRVxcnBTQFNaoUSPY2dkhMTERYWFh0va7d+8iKSnJaBtQ8H736dMHx48fx2+//WZR+QFQkA20ZETwE1uT86BOnTqhdevWmDVrFu7cuQMvLy906tQJ3377rckI9cqVK0b369evj8aNG2PZsmVYtmwZfH190bFjR+lxjUaD559/HqtWrTL5w/vg8cwVFBSEP//80yjduWHDhiLDcsPCwnDx4kXMnz+/yDFu375tcT9nYdOnT8fWrVsRHh5eYr/wgxNSOTg4oEGDBhBCSP3dhl++cs0qPHv2bKP7hllEe/XqBaDgF0GVKlUQHx9vtN8333xT5FiWtO2ZZ57BX3/9ZTQxXU5ODubNm4eAgACLf7At4evri2bNmuGHH34wauvhw4exdetWoy9SWxkwYAA0Gg2io6OLZKeEEFZNViaHmjVrIjQ0VLo9rOt06tSpEEJg+PDhRWZzBYB9+/aZnE7CICgoCBkZGfjnn3+kbampqVizZo3Rfg92IQD3fxkavuCL+zy2aNECQUFB+Pzzz0220drvGjloNJoi7/9XX31VJJP1/PPP4+DBg0VeF+Dh2c2WLVvCy8sLc+fONfpluGnTJhw9ehS9e/cGUDBa7sHZh4OCguDq6io978aNG0XO9+D7UBzDuQICArBhw4ZiA+guXbrAw8MDc+bMMdo+Z84cODs7S+0FCrp4unfvDrVajS1bthTbtWquSpUqGX3+Q0NDpTqmnJwcPPPMM7h48SI2btxY7He7u7s7QkNDsXjxYqOu3EWLFiE7OxuDBg2Stul0OoSHhyMhIQErVqxAcHCwyWPm5+eb7Kr/66+/cOjQoSIjuUrCTE4hb731FgYNGoTY2Fi88sormD17Njp06IDGjRvjxRdfRM2aNZGeno6EhARcuHABBw8eNHp+eHg4pkyZAkdHR4wePbpI3/n06dOxY8cOtGnTBi+++CIaNGiA69evY//+/fjtt99MfrE9zJgxY7By5Ur07NkTYWFhOHXqFBYvXiz9NWcwfPhwLF++HK+88gp27NiB9u3bQ6fT4dixY1i+fDm2bNny0A9Ofn6+9NfNnTt3cO7cOaxfvx7//PMPOnfuXGytkUH37t3h4+OD9u3bw9vbG0ePHsXXX3+N3r17SynQFi1aAADee+89DB48GPb29ujTp4/VmYczZ86gb9++6NmzJxISErB48WK88MILaNq0qbTPmDFjMH36dIwZMwYtW7ZEfHy8yWnGLWnbpEmT8PPPP6NXr1547bXX4OHhgR9++AFnzpzBqlWrFJ8d+bPPPkOvXr0QHByM0aNHS0PI3d3dy2Qa/qCgIHz88ceYPHkyzp49i/79+8PV1RVnzpzBmjVr8NJLL2HixIlWH//jjz8GUDD0Gij4gjXUXrz//vulv4B72rVrh9mzZ2Ps2LGoV6+e0YzHO3fuxPr166W2mDJ48GC88847eO6556QZbefMmYM6deoYFd5++OGHiI+PR+/evVGjRg1cvnwZ33zzDapVqyZlnoKCglCxYkXMnTsXrq6ucHFxQZs2bRAYGIgFCxagV69eaNiwIUaOHAk/Pz9cvHgRO3bsgJubG3755RerX4NFixbh3LlzuHXrFoCCglTDNQ8fPrzELOWzzz6LRYsWwd3dHQ0aNEBCQgJ+++03VK5c2Wi/t956CytXrsSgQYMwatQotGjRAtevX8f69esxd+5co5/fB9nb2+PTTz/FyJEjERISgiFDhkhDyAMCAvDGG28AAI4fP46uXbsiLCwMDRo0gJ2dHdasWYP09HQpC//DDz/gm2++wXPPPYegoCBkZWVh/vz5cHNzK/GPhaysLPTo0QM3btzAW2+9VWR+rKCgIOkXvJOTEz766CNERUVh0KBB6NGjB3bt2oXFixdj2rRpRoMHevbsidOnT+Ptt9/GH3/8IX3GAcDb29sokx4fHy/98XblyhXk5ORI71PHjh2N/gg3ZejQofjrr78watQoHD161GgemwoVKqB///7S/WnTpqFdu3YICQnBSy+9hAsXLmDGjBno3r07evbsKe335ptvYv369ejTpw+uX79ulC0DIA2Vz87Ohr+/P8LDw6UlIA4dOoSFCxfC3d292DpZkywai1UOFDfjsRAFM+gGBQWJoKAgkZ+fL4QQ4tSpUyIiIkL4+PgIe3t74efnJ5599lmxcuXKIs8/ceKENNTtjz/+MHn+9PR0ERUVJfz9/YW9vb3w8fERXbt2FfPmzZP2KW5YcHHDnWfMmCH8/PyEVqsV7du3F4mJiUWGbwtRMLTy008/FQ0bNhRarVZUqlRJtGjRQkRHRxvNVGlKZGSkdG0AhLOzswgICBDPP/+8WLlypclZRh9sw7fffis6duwoKleuLLRarQgKChJvvfVWkXN/9NFHws/PT6jVaqMhygBEVFSUyfahmCHk//77rxg4cKBwdXUVlSpVEuPGjSsyS/KtW7fE6NGjhbu7u3B1dRVhYWHi8uXLJofHFtc2U0P5T506JQYOHCgqVqwoHB0dRevWrcWGDRuM9rH0vX5Qcc8XQojffvtNtG/fXjg5OQk3NzfRp08f8e+//xrtU5qZoS0ZQm6watUq0aFDB+Hi4iJcXFxEvXr1RFRUlEhOTpb2CQkJeehUAw8q/Nl88KaEffv2iRdeeEFUrVpV2Nvbi0qVKomuXbuKH374wehnwdRnaOvWraJRo0bCwcFB1K1bVyxevLjI6xUXFyf69esnqlatKhwcHETVqlXFkCFDigwTXrdunWjQoIGws7Mr8nk5cOCAGDBggPTzVqNGDREWFmY0/Nea998wxN/U7WFD92/cuCFGjhwpqlSpIipUqCB69Oghjh07ZvLn59q1a2LcuHHCz89PODg4iGrVqonIyEhpCo6SPvtCCLFs2TLRvHlzodVqhYeHhxg6dKi4cOGC9PjVq1dFVFSUqFevnnBxcRHu7u6iTZs2Yvny5dI++/fvF0OGDBHVq1cXWq1WeHl5iWeffVYkJiaWeJ2Gn9/ibqam/Zg3b56oW7eucHBwEEFBQWLmzJlGUwAIUfLn/MHve8N7a+pmzrD/GjVqFPt8U9Mg7Nq1S7Rr1044OjoKT09PERUVVWRW8JI+O4U//7m5ueL1118XTZo0EW5ubsLe3l7UqFFDjB492uIZ1lX3XjgiIiKicoU1OURERFQuMcghIiKicolBDhEREZVLDHKIiIioXGKQQ0REROUSgxwiIiIqlxjkEBERUbnEIIeIiIjKpSc6yImPj0efPn1QtWpVqFQqrF27VtHzffDBB1CpVEa3evXqKXpOIiKiJ9UTHeTk5OSgadOmRRZxVFLDhg2Rmpoq3QqvPUJERETyeaIX6OzVq5e0GrUpubm5eO+99/Dzzz/j5s2baNSoET799FN06tTJ6nPa2dkZLWVPREREyniiMzkPM27cOCQkJGDp0qX4559/MGjQIPTs2RMnTpyw+pgnTpxA1apVUbNmTQwdOhQpKSkytpiIiIgMuEDnPSqVCmvWrJGWj09JSUHNmjWRkpKCqlWrSvuFhoaidevW+OSTTyw+x6ZNm5CdnY26desiNTUV0dHRuHjxIg4fPgxXV1e5LoWIiIjwhHdXleTQoUPQ6XSoU6eO0fbc3FxUrlwZAHDs2DHUr1+/xOO88847mD59OgAYdY01adIEbdq0QY0aNbB8+XKMHj1a5isgIiJ6sjHIKUZ2djY0Gg327dsHjUZj9FiFChUAADVr1sTRo0dLPI4hIDKlYsWKqFOnDk6ePFn6BhMREZERBjnFaN68OXQ6HS5fvoynn37a5D4ODg6lGgKenZ2NU6dOYfjw4VYfg4iIiEx7ooOc7OxsoyzKmTNnkJSUBA8PD9SpUwdDhw5FREQEZsyYgebNm+PKlSuIi4tDkyZN0Lt3b4vPN3HiRPTp0wc1atTApUuXMHXqVGg0GgwZMkTOyyIiIiI84YXHO3fuROfOnYtsj4yMRGxsLPLy8vDxxx/jxx9/xMWLF1GlShW0bdsW0dHRaNy4scXnGzx4MOLj43Ht2jV4enqiQ4cOmDZtGoKCguS4HCIiIirkiQ5yiIiIqPziPDlERERULjHIISIionLpiSs81uv1uHTpElxdXaFSqcq6OURERGQGIQSysrJQtWpVqNXm5WieuCDn0qVL8Pf3L+tmEBERkRXOnz+PatWqmbXvExfkGJZPOH/+PNzc3Mq4NURERGSOzMxM+Pv7W7QM0hMX5Bi6qNzc3BjkEBERPWYsKTVh4TERERGVSwxyiIiIqFxikENERETlEoMcIiIiKpfKNMiZM2cOmjRpIhUBBwcHY9OmTSU+Z8WKFahXrx4cHR3RuHFjbNy40UatJSIiosdJmQY51apVw/Tp07Fv3z4kJiaiS5cu6NevH44cOWJy/z179mDIkCEYPXo0Dhw4gP79+6N///44fPiwjVtOREREj7pHboFODw8PfPbZZxg9enSRx8LDw5GTk4MNGzZI29q2bYtmzZph7ty5Zh0/MzMT7u7uyMjI4BByIiKix4Q1v78fmZocnU6HpUuXIicnB8HBwSb3SUhIQGhoqNG2Hj16ICEhodjj5ubmIjMz0+hGRERE5V+ZBzmHDh1ChQoVoNVq8corr2DNmjVo0KCByX3T0tLg7e1ttM3b2xtpaWnFHj8mJgbu7u7SjUs6EBERPRnKPMipW7cukpKSsHfvXvzf//0fIiMj8e+//8p2/MmTJyMjI0O6nT9/XrZjExER0aOrzJd1cHBwQK1atQAALVq0wN9//40vv/wS3377bZF9fXx8kJ6ebrQtPT0dPj4+xR5fq9VCq9XK22giIiJ65JV5JudBer0eubm5Jh8LDg5GXFyc0bZt27YVW8NDRERET64yzeRMnjwZvXr1QvXq1ZGVlYUlS5Zg586d2LJlCwAgIiICfn5+iImJAQC8/vrrCAkJwYwZM9C7d28sXboUiYmJmDdvXlleBhERET2CyjTIuXz5MiIiIpCamgp3d3c0adIEW7ZsQbdu3QAAKSkpUKvvJ5vatWuHJUuW4P3338e7776L2rVrY+3atWjUqFFZXYLF9py8iiquWtTxNn+peCIiIrLcIzdPjtLKcp6cy5l3EDx9O1wcNNg9qQtcHe1ten4iIqLH1WM9T86T4Pqtu9DpBTLv5GN54oWybg4REVG5xiDHhvJ195NmC3efQb5OX4atISIiKt8Y5NhQvv5+kHPhxm1s/Te9hL2JiIioNBjk2JBOb5y5WbDrdBm1hIiIqPxjkGNDefe6qyq7OMBeo8L+lJs4czWnjFtFRERUPjHIsSFDTY6nqxZero4AgIzbeWXZJCIionKLQY4N5d/rrtKoVbDTqAq2sfiYiIhIEQxybMiQybHTqGGnLghy8nRP1DRFRERENsMgx4YMo6vs1CrY3ZvJWadnkENERKQEBjk2ZOiusivUXZWnZ3cVERGREhjk2JAha2OnUcFOU/DS57O7ioiISBEMcmzIUH9jp1bDXs3CYyIiIiUxyLEhncnuKmZyiIiIlMAgx4akTI5GBXupu4qZHCIiIiUwyLEhqSZHrYbG0F3FTA4REZEiGOTYUN69rI2d5v4QchYeExERKYNBjg0ZMjkatQr2hhmPOYSciIhIEQxybMjQNWWvVktDyDnjMRERkTIY5NiQoWtKo1FxCDkREZHCGOTYkKFryl6tYuExERGRwuzKugFPknypJkcNO03B/1l4TEREpAwGOTZk6Jqy16iQr2fhMRERkZLYXWVD+YVGVxmGkLPwmIiISBnM5NhQvjTjsRr2ekN3FTM5RERESmCQY0P50ozHKug0LDwmIiJSErurbCi/0IzHGsOMx6zJISIiUgSDHBvSFcrk3J8nh5kcIiIiJbC7yobyCi3QqdPc28Ygh4iISBEMcmxIp7/fXaUXHEJORESkJAY5NmTI2tip1dCrORkgERGRkliTY0OFa3I0GhYeExERKYmZHBvK05normImh4iISBHM5NiQrvCMx/cyOXmcJ4eIiEgRzOTYkCFrY69RA9Df28buKiIiIiUwyLEhQ/2NRq2CEPdqcthdRUREpAgGOTZkWMLB/t6SDgXbmMkhIiJSAoMcGzJkbTRqNYS4113FmhwiIiJFMMixIUPWpmBJh3uFx+yuIiIiUgSDHBvKLzS6StrGwmMiIiJFMMixIUN3lZ1GDZXq3ozH7K4iIiJSBIMcGyo847HqXjKHhcdERETKYJBjQ4VnPFbdi204hJyIiEgZDHJs6H4mRw0VCv7PwmMiIiJlMMixocKZHDW7q4iIiBTFIMeGCtfk6FVcoJOIiEhJDHJsyLAYp51GDb3e0F3FTA4REZESGOTYUOFMjriXydFxCDkREZEi1GXdgCeFEMIoyDFMCJivFxCCgQ4REZHcGOTYSOFJ/+zU6gcW6WSQQ0REJLcyDXJiYmLQqlUruLq6wsvLC/3790dycnKJz4mNjYVKpTK6OTo62qjF1itcYGynUcFOozb5GBEREcmjTIOc33//HVFRUfjzzz+xbds25OXloXv37sjJySnxeW5ubkhNTZVu586ds1GLrVd4qLhGrYJdofWr8jiMnIiISHZlWni8efNmo/uxsbHw8vLCvn370LFjx2Kfp1Kp4OPjo3TzZFU4W2OvMY4tdczkEBERye6RqsnJyMgAAHh4eJS4X3Z2NmrUqAF/f3/069cPR44cKXbf3NxcZGZmGt3KQuG6G7UKKJTIYSaHiIhIAY9MkKPX6zF+/Hi0b98ejRo1Kna/unXr4vvvv8e6deuwePFi6PV6tGvXDhcuXDC5f0xMDNzd3aWbv7+/UpdQIkN3lb3mfi2RofiYNTlERETye2SCnKioKBw+fBhLly4tcb/g4GBERESgWbNmCAkJwerVq+Hp6Ylvv/3W5P6TJ09GRkaGdDt//rwSzX8oQyCjKZTCsVOrjR4jIiIi+TwSkwGOGzcOGzZsQHx8PKpVq2bRc+3t7dG8eXOcPHnS5ONarRZarVaOZpaKobvKXn0/rrTTqIA8dlcREREpoUwzOUIIjBs3DmvWrMH27dsRGBho8TF0Oh0OHToEX19fBVooH929QEZTaH4cQwEyZz0mIiKSX5lmcqKiorBkyRKsW7cOrq6uSEtLAwC4u7vDyckJABAREQE/Pz/ExMQAAD788EO0bdsWtWrVws2bN/HZZ5/h3LlzGDNmTJldhznydIbZju/HlYauK65fRUREJL8yDXLmzJkDAOjUqZPR9oULF2LEiBEAgJSUFKgLBQY3btzAiy++iLS0NFSqVAktWrTAnj170KBBA1s12yqFl3QwsFez8JiIiEgpZRrkmLNm086dO43uz5w5EzNnzlSoRcoxZGvsCnVXGWY9zmdNDhERkewemdFV5Z2pTI4h4MljJoeIiEh2DHJsRKrJKTTbsT2HkBMRESmGQY6NlJTJYXcVERGR/Bjk2IhhLhyjmhwWHhMRESmGQY6N6KQZjwtPBsjCYyIiIqUwyLERae0qddFMDguPiYiI5Mcgx0YMyzoUXrvKnpkcIiIixTDIsRFD3Y295oG1q8CaHCIiIiUwyLERU5kcqfCYa1cRERHJjkGOjeTfm/HY3mh0ldroMSIiIpIPgxwbMZnJ4YzHREREimGQYyP50tpVhWY8ZuExERGRYhjk2Ei+qRmPOYSciIhIMQxybOR+kFN0MkAdC4+JiIhkxyDHRkyuXSUt68DuKiIiIrkxyLGRPJ2JtasMhcfM5BAREcmOQY6NmMrkSIXHzOQQERHJjkGOjRiKiwuPrmLhMRERkXIY5NiI7t4wcaOaHBYeExERKYZBjo3cz+SYWtaB3VVERERyY5BjIzppxuOiC3Syu4qIiEh+DHJsxJCtsS9ceMy1q4iIiBTDIMdGDNkaDYeQExER2QSDHBsxdFfZm5rxmN1VREREsmOQYyOGyQA1Rt1VLDwmIiJSCoMcG5EyOYW6qzScJ4eIiEgxDHJsRKrJKdRdJc14zEwOERGR7Bjk2Ig0GaCpwmNmcoiIiGTHIMdG8k2uQs4h5EREREphkGMj+SbWrjLU53BZByIiIvkxyLGRfBNrV7HwmIiISDkMcmzEVHcVC4+JiIiUwyDHRvJLWqCTmRwiIiLZMcixkfuZnKIzHucxk0NERCQ7Bjk2YhhBZdxdda/wmJkcIiIi2THIsRHDCKrCo6sMWR0u0ElERCQ/Bjk2YuiSKrx2laE+h/PkEBERyY9Bjo0YuqTsWXhMRERkEwxybMTQJaUxMYSchcdERETyY5BjI/dXIS88uoozHhMRESmFQY6N5OlM1OQYCo91AkIw0CEiIpITgxwbkTI5hefJKRTwMJtDREQkLwY5NmIoLtZoio6uAu5PFkhERETyYJBjI4b1qexNFB4D97uziIiISB4McmxArxcwJGqMa3IKZXI4jJyIiEhWDHJsoHBXVOEZjwsHPOyuIiIikheDHBvILzQPTuHsjUqlkiYHzOdcOURERLJikGMDxpkcldFjGs56TEREpAgGOTZQOICxUxu/5PbSXDnM5BAREcmpTIOcmJgYtGrVCq6urvDy8kL//v2RnJz80OetWLEC9erVg6OjIxo3boyNGzfaoLXWM3RFqVTGdThAoUU6WZNDREQkqzINcn7//XdERUXhzz//xLZt25CXl4fu3bsjJyen2Ofs2bMHQ4YMwejRo3HgwAH0798f/fv3x+HDh23YcssYMjl2DwQ4wP1CZHZXERERycuuLE++efNmo/uxsbHw8vLCvn370LFjR5PP+fLLL9GzZ0+89dZbAICPPvoI27Ztw9dff425c+cq3mZrGGYzfrCrCrg/bw4Lj4mIiOT1SNXkZGRkAAA8PDyK3SchIQGhoaFG23r06IGEhAST++fm5iIzM9PoZmuGehtTmRzDDMh5zOQQERHJ6pEJcvR6PcaPH4/27dujUaNGxe6XlpYGb29vo23e3t5IS0szuX9MTAzc3d2lm7+/v6ztNoeUydEUDXIMhcf5LDwmIiKS1SMT5ERFReHw4cNYunSprMedPHkyMjIypNv58+dlPb45DFkajYnuKhYeExERKaNMa3IMxo0bhw0bNiA+Ph7VqlUrcV8fHx+kp6cbbUtPT4ePj4/J/bVaLbRarWxttYa0ArmJTI4dh5ATEREpokwzOUIIjBs3DmvWrMH27dsRGBj40OcEBwcjLi7OaNu2bdsQHBysVDNLLe9eUfGDw8eB+4GPjpkcIiIiWZVpJicqKgpLlizBunXr4OrqKtXVuLu7w8nJCQAQEREBPz8/xMTEAABef/11hISEYMaMGejduzeWLl2KxMREzJs3r8yu42HuZ3JMdVcZMjkMcoiIiORUppmcOXPmICMjA506dYKvr690W7ZsmbRPSkoKUlNTpfvt2rXDkiVLMG/ePDRt2hQrV67E2rVrSyxWLmuGrihTmRwNh5ATEREpokwzOUI8PHuxc+fOItsGDRqEQYMGKdAiZdyfJ6f47ipOBkhERCSvR2Z0VXkmzXjMwmMiIiKbYZBjA/klzXjMwmMiIiJFMMixgfwSZjyWMjkMcoiIiGTFIMcG8kuY8Vgj1eSwu4qIiEhODHJswDByqsQFOll4TEREJCsGOTZQYuGxYZ4cDiEnIiKSFYMcG8g3Ywi5jpkcIiIiWTHIsYGSRlex8JiIiEgZDHJsIL+EGY/tWHhMRESkCAY5NqArYXSVnbSsAzM5REREcmKQYwMldldpOOMxERGREhjk2ECJa1dxCDkREZEiGOTYgLQKeQlDyNldRUREJC8GOTZQUiaHhcdERETKYJBjAyUPIWfhMRERkRIY5NhAyaOrWHhMRESkBAY5NpBXwjw59hoWHhMRESmBQY4NGDI59iZrclh4TEREpAQGOTZgCGA0JdbksLuKiIhITgxybEBXwirk9oZMDruriIiIZMUgxwby9MXX5Bi2sfCYiIhIXgxybKDEGY81HEJORESkBAY5NpBf0mSAahYeExERKYFBjg0YanI0GlMLdHLGYyIiIiVYFeScPn1a7naUa4aRU6a7q1h4TEREpASrgpxatWqhc+fOWLx4Me7cuSN3m8qdkrqrpMJjDiEnIiKSlVVBzv79+9GkSRNMmDABPj4+ePnll/HXX3/J3bZyo6RlHTjjMRERkTKsCnKaNWuGL7/8EpcuXcL333+P1NRUdOjQAY0aNcIXX3yBK1euyN3Ox5ohgDE9GaChu4qZHCIiIjmVqvDYzs4OAwYMwIoVK/Dpp5/i5MmTmDhxIvz9/REREYHU1FS52vlYK6kmx45DyImIiBRRqiAnMTERY8eOha+vL7744gtMnDgRp06dwrZt23Dp0iX069dPrnY+1kqqybHn2lVERESKsLPmSV988QUWLlyI5ORkPPPMM/jxxx/xzDPPQH2v6yUwMBCxsbEICAiQs62PrZJqcuw44zEREZEirApy5syZg1GjRmHEiBHw9fU1uY+Xlxe+++67UjWuvDCvJoeZHCIiIjlZFeRs27YN1atXlzI3BkIInD9/HtWrV4eDgwMiIyNlaeTjzryaHGZyiIiI5GRVTU5QUBCuXr1aZPv169cRGBhY6kaVNyUu68DCYyIiIkVYFeQIYfoXcnZ2NhwdHUvVoPKoxHly7mXDhLi/HxEREZWeRd1VEyZMAACoVCpMmTIFzs7O0mM6nQ579+5Fs2bNZG1geVBiTU6hwCdPp4dGrbFZu4iIiMozi4KcAwcOACjI5Bw6dAgODg7SYw4ODmjatCkmTpwobwvLgRJrcgoFPuyyIiIiko9FQc6OHTsAACNHjsSXX34JNzc3RRpV3pQ4hLzQNs56TEREJB+rRlctXLhQ7naUayUWHhfaxkwOERGRfMwOcgYMGIDY2Fi4ublhwIABJe67evXqUjesPNGVUJOjUqlgp1YhXy84Vw4REZGMzA5y3N3doVKppP+T+fJKqMkBCrqs8vWCsx4TERHJyOwgp3AXFburLFNSTQ5QMIz8DvTsriIiIpKRVfPk3L59G7du3ZLunzt3DrNmzcLWrVtla1h5YgheNMVkcjSGCQGZySEiIpKNVUFOv3798OOPPwIAbt68idatW2PGjBno168f5syZI2sDH3d6vYBh7kQ7EzU5hbfnsSaHiIhINlYFOfv378fTTz8NAFi5ciV8fHxw7tw5/Pjjj/jf//4nawMfd3mF1qQqLpNjfy+TwxmPiYiI5GNVkHPr1i24uroCALZu3YoBAwZArVajbdu2OHfunKwNfNwVDlzsi6nJMdTq5HGRTiIiItlYFeTUqlULa9euxfnz57FlyxZ0794dAHD58mVOEPiAwsXExWZy7nVXcQg5ERGRfKwKcqZMmYKJEyciICAAbdq0QXBwMICCrE7z5s1lbeDjTlcocCmuJscQ/LDwmIiISD5WBTkDBw5ESkoKEhMTsXnzZml7165dMXPmTLOPEx8fjz59+qBq1apQqVRYu3Ztifvv3LkTKpWqyC0tLc2ay7CJwpmcYhI5sNPcKzxmTQ4REZFsrFrWAQB8fHzg4+NjtK1169YWHSMnJwdNmzbFqFGjHjqLcmHJyclG3WJeXl4WndeWDItz2mtU0mSKD7pfeMxMDhERkVysCnJycnIwffp0xMXF4fLly9A/8Mv59OnTZh2nV69e6NWrl8Xn9/LyQsWKFS1+XlnI15U8Rw5wfyZkDiEnIiKSj1VBzpgxY/D7779j+PDh8PX1LTZDoZRmzZohNzcXjRo1wgcffID27dsXu29ubi5yc3Ol+5mZmbZookSa7biYehzgfncVC4+JiIjkY1WQs2nTJvz6668lBhdK8PX1xdy5c9GyZUvk5uZiwYIF6NSpE/bu3YunnnrK5HNiYmIQHR1t03YW9rDZjoH7mZx8dlcRERHJxqogp1KlSvDw8JC7LQ9Vt25d1K1bV7rfrl07nDp1CjNnzsSiRYtMPmfy5MmYMGGCdD8zMxP+/v6Kt9WgcE1OcaTCY2ZyiIiIZGPV6KqPPvoIU6ZMMVq/qqy0bt0aJ0+eLPZxrVYLNzc3o5stmVOTY88h5ERERLKzKpMzY8YMnDp1Ct7e3ggICIC9vb3R4/v375elceZISkqCr6+vzc5nKfNqcgzdVczkEBERycWqIKd///6ynDw7O9soC3PmzBkkJSXBw8MD1atXx+TJk3Hx4kVpMdBZs2YhMDAQDRs2xJ07d7BgwQJs3779kV793KyaHKnwmJkcIiIiuVgV5EydOlWWkycmJqJz587SfUPtTGRkJGJjY5GamoqUlBTp8bt37+LNN9/ExYsX4ezsjCZNmuC3334zOsajxhC42JVQkyN1VzGTQ0REJBurJwO8efMmVq5ciVOnTuGtt96Ch4cH9u/fD29vb/j5+Zl1jE6dOkGI4n+xx8bGGt1/++238fbbb1vb5DJxv7uq+CBHo2bhMRERkdysCnL++ecfhIaGwt3dHWfPnsWLL74IDw8PrF69GikpKVL3EhXuriq+Jscw8ordVURERPKxanTVhAkTMGLECJw4cQKOjo7S9meeeQbx8fGyNa48MCeTw8JjIiIi+VkV5Pz99994+eWXi2z38/N7pBfLLAt5ZtTkGEZecTJAIiIi+VgV5Gi1WpPLIxw/fhyenp6lblR5Yk4m5353FTM5REREcrEqyOnbty8+/PBD5OXlAQBUKhVSUlLwzjvv4Pnnn5e1gY87c4aQs/CYiIhIflYFOTNmzEB2djY8PT1x+/ZthISEoFatWnB1dcW0adPkbuNjzZzJAKVMDruriIiIZGPV6Cp3d3ds27YNu3fvxsGDB5GdnY2nnnoKoaGhcrfvsWdZTQ4zOURERHKxOMjR6/WIjY3F6tWrcfbsWahUKgQGBsLHxwdCCKhUxf8yfxJZNLqKQ8iJiIhkY1F3lRACffv2xZgxY3Dx4kU0btwYDRs2xLlz5zBixAg899xzSrXzsWVOTQ4Lj4mIiORnUSYnNjYW8fHxiIuLK7KUwvbt29G/f3/8+OOPiIiIkLWRjzOzFug0FB6zu4qIiEg2FmVyfv75Z7z77rsm14rq0qULJk2ahJ9++km2xpUHZtXksLuKiIhIdhYFOf/88w969uxZ7OO9evXCwYMHS92o8kRnzirkHEJOREQkO4uCnOvXr8Pb27vYx729vXHjxo1SN6o8ybeg8FjHIeRERESysSjI0el0sLMrvoxHo9EgPz+/1I0qT3SWLNDJmhwiIiLZWFR4LITAiBEjoNVqTT6em5srS6PKE0Odjb0Z8+TksSaHiIhINhYFOZGRkQ/dhyOrjJkzhNzQlcUh5ERERPKxKMhZuHChUu0ot8ybDJBDyImIiORm1dpVZL58M2pyWHhMREQkPwY5CjOnJsfesHYVu6uIiIhkwyBHYWbV5NwLgFh4TEREJB8GOQozpyaHQ8iJiIjkxyBHYebU5GjYXUVERCQ7BjkKM2+eHEMmh91VREREcmGQozBzanLsNczkEBERyY1BjsLMmyeHhcdERERyY5CjMHNqcqQh5Cw8JiIikg2DHIUZanLsSqjJ0Wi4rAMREZHcGOQoLN+cIeT3Hstj4TEREZFsGOQoTGfWZIAFb4MQgJ5dVkRERLJgkKOw+5mch69dBTCbQ0REJBcGOQozpybHvlAAxLocIiIieTDIUZglQ8gBBjlERERyYZCjMLMW6FSzu4qIiEhuDHIUZsjkGGY1NkWlUklBkI6Fx0RERLJgkKMwwyzGJWVygPvZHM56TEREJA8GOQozpyYH4PpVREREcmOQozBzanKA+8XHXImciIhIHgxyFGZOTQ5QuLuKmRwiIiI5MMhRmCFoeXhNTsFbwcJjIiIieTDIUZjuXvfTw2pyDN1VLDwmIiKSB4MchZlbkyMVHjOTQ0REJAsGOQqzvCaHmRwiIiI5MMhRWL65NTkcQk5ERCQrBjkKyze3JkfNIeRERERyYpCjIL1ewFBiY/Y8OczkEBERyYJBjoJ04n7AYveQmhx7NQuPiYiI5MQgR0GFszIcQk5ERGRbDHIUVLi+hoXHREREtsUgR0GFZy9m4TEREZFtlWmQEx8fjz59+qBq1apQqVRYu3btQ5+zc+dOPPXUU9BqtahVqxZiY2MVb6e1CtfXPHxZB0OQw0wOERGRHMo0yMnJyUHTpk0xe/Zss/Y/c+YMevfujc6dOyMpKQnjx4/HmDFjsGXLFoVbah1D15OdWgWVyswZj9ldRUREJAu7sjx5r1690KtXL7P3nzt3LgIDAzFjxgwAQP369fHHH39g5syZ6NGjh1LNtJqh6+lhWRyAhcdERERye6xqchISEhAaGmq0rUePHkhISCj2Obm5ucjMzDS62YqhJudh9TgF+3AIORERkZweqyAnLS0N3t7eRtu8vb2RmZmJ27dvm3xOTEwM3N3dpZu/v78tmgrgfsDysDlyAMBemgyQmRwiIiI5PFZBjjUmT56MjIwM6Xb+/HmbnbtwTc7DaKQFOpnJISIikkOZ1uRYysfHB+np6Ubb0tPT4ebmBicnJ5PP0Wq10Gq1tmheEZbU5BgKj3XsriIiIpLFY5XJCQ4ORlxcnNG2bdu2ITg4uIxaVDLLanLuZXI4Tw4REZEsyjTIyc7ORlJSEpKSkgAUDBFPSkpCSkoKgIKupoiICGn/V155BadPn8bbb7+NY8eO4ZtvvsHy5cvxxhtvlEXzH8qSmhzOeExERCSvMg1yEhMT0bx5czRv3hwAMGHCBDRv3hxTpkwBAKSmpkoBDwAEBgbi119/xbZt29C0aVPMmDEDCxYseCSHjwOW1eSw8JiIiEheZVqT06lTJwhRfObC1GzGnTp1woEDBxRslXwsqcmRCo9Zk0NERCSLx6om53FjqMmxqPCY3VVERESyYJCjIENNjr05NTksPCYiIpIVgxwFGWpyzFvWgYXHREREcmKQoyDdvayMRYXHzOQQERHJgkGOgvItqMkxrF3FGY+JiIjkwSBHQToranI44zEREZE8GOQoyLKaHMPaVeyuIiIikgODHAXlW1CT42ivAQDk5jHIISIikgODHAVZUpPjdC/IuZ2nU7RNRERETwoGOQqypCZHa1+wzx0GOURERLJgkKMgS2pymMkhIiKSF4McBVlTk3OHNTlERESyYJCjIGtqcthdRUREJA8GOQoyLLZpZ0ZNjpMDu6uIiIjkxCBHQYZMjlndVXYFQY5OLzhXDhERkQwY5CjIUJNjTneVo8P9t4LZHCIiotJjkKMgSzI5Dho1VPd2Y10OERFR6THIUZAlNTkqlep+8fFddlcRERGVFoMcBVmSyQEKDSPPZyaHiIiotBjkKMiSmhyg0ISAdxnkEBERlRaDHAXpLM7kFLwdLDwmIiIqPQY5Csq3oCYHKDzrMYMcIiKi0mKQoyBLMzmc9ZiIiEg+DHIUlGfBsg4A168iIiKSE4McBekMC3RqLAtyWJNDRERUegxyFGSoyTF7dJUDu6uIiIjkwiBHQbn5BZkcB3MLj+04uoqIiEguDHIUlHtvUj9DN9TDSJkczpNDRERUagxyFGQoIDY3yLk/4zELj4mIiEqLQY6CDLU1hkn+HsaRMx4TERHJhkGOggw1OVo7M7urOE8OERGRbBjkKCjX4kwOC4+JiIjkwiBHQYbaGrMLj5nJISIikg2DHAVJNTlmdldxxmMiIiL5MMhRiBBCCnK0lhYeM5NDRERUagxyFJKvF7i3dJUFmZyCt4PdVURERKXHIEchhQMVczM5TszkEBERyYZBjkIK19Vo7cwMcu7NeJzLmhwiIqJSY5CjEKkex04NlYqrkBMREdkagxyF5Fo4fBwo1F3FGY+JiIhKjUGOQixd0gG4X7tzJ18HIYQi7SIiInpSMMhRiKUrkAP3MzlC3M8EERERkXUY5CjEUDxsbtExYBwQsfiYiIiodBjkKOSOFZkce40aduqCImUWHxMREZUOgxyFGIaQmzsRoAHnyiEiIpIHgxyFWLqkg4GWi3QSERHJgkGOQgyFw1pLMzkOBW8JMzlERESlwyBHIdYMIQfud28xk0NERFQ6DHIUItXkWFB4DNxf2oFBDhERUek8EkHO7NmzERAQAEdHR7Rp0wZ//fVXsfvGxsZCpVIZ3RwdHW3YWvNYncmRanI4hJyIiKg0yjzIWbZsGSZMmICpU6di//79aNq0KXr06IHLly8X+xw3NzekpqZKt3PnztmwxeaxtibHkUs7EBERyaLMg5wvvvgCL774IkaOHIkGDRpg7ty5cHZ2xvfff1/sc1QqFXx8fKSbt7e3DVtsHmszOU72LDwmIiKSQ5kGOXfv3sW+ffsQGhoqbVOr1QgNDUVCQkKxz8vOzkaNGjXg7++Pfv364ciRI8Xum5ubi8zMTKObLUjLOliZyWFNDhERUemUaZBz9epV6HS6IpkYb29vpKWlmXxO3bp18f3332PdunVYvHgx9Ho92rVrhwsXLpjcPyYmBu7u7tLN399f9uswxerCYwY5REREsijz7ipLBQcHIyIiAs2aNUNISAhWr14NT09PfPvttyb3nzx5MjIyMqTb+fPnbdJOQybH0skAWXhMREQkD7uyPHmVKlWg0WiQnp5utD09PR0+Pj5mHcPe3h7NmzfHyZMnTT6u1Wqh1WpL3VZLWbusgyOXdSAiIpJFmWZyHBwc0KJFC8TFxUnb9Ho94uLiEBwcbNYxdDodDh06BF9fX6WaaRVrl3Xg2lVERETyKNNMDgBMmDABkZGRaNmyJVq3bo1Zs2YhJycHI0eOBABERETAz88PMTExAIAPP/wQbdu2Ra1atXDz5k189tlnOHfuHMaMGVOWl1HE/dFVlmZy1EbPJyIiIuuUeZATHh6OK1euYMqUKUhLS0OzZs2wefNmqRg5JSUFavX9bMiNGzfw4osvIi0tDZUqVUKLFi2wZ88eNGjQoKwuwaT78+RYmMnhjMdERESyKPMgBwDGjRuHcePGmXxs586dRvdnzpyJmTNn2qBVpWN1JseOhcdERERyeOxGVz0urB1C7ujAGY+JiIjkwCBHIdJkgFYWHt/JZ5BDRERUGgxyFJKbZ+3aVfeWdWAmh4iIqFQY5CjkTmkzOSw8JiIiKhUGOQrQ6QXydAJAadauYuExERFRaTDIUUBuoXoaa5d14GSAREREpcMgRwGFszCWZnI4Tw4REZE8GOQowBCgOGjUUKtVFj23grZg6qLcfD0DHSIiolJgkKMAa9etAgA3Rzs43Jsl+UpWrqztIiIiepIwyFHA/SUdLOuqAgCVSgUv14JV069kM8ghIiKyFoMcBdxf0sG6l9fzXpBzOZNBDhERkbUY5CjA2iUdDDwrMJNDRERUWgxyFGDtRIAGXm73gpzMO7K1iYiI6EnDIEcB1i7pYOBZwREAMzlERESlwSBHAdYuzmlgyOSwJoeIiMh6DHIUIBUeW53JYU0OERFRaTHIUUBpC4+ZySEiIio9BjkKMHRXae1KN4T8anYu9HohW7uIiIieJAxyFGDI5GitzORUudddla8XuHk7T7Z2ERERPUkY5CigtJMB2mvU8HBxAABczuIwciIiImswyFFAaWtyANxf2oHrVxEREVmFQY4CSluTA3BpByIiotJikKMAOTI5HEZORERUOgxyFCAt61CaTA6HkRMREZUKgxwF5EqFx8zkEBERlRUGOQrIzTcMIbf+5fVyK1i/6jIX6SQiIrIKgxwFlHZZB4CZHCIiotJikKMAWYaQ36vJucKaHCIiIqswyFGANIS8FN1VhiHkWbn5uH1XJ0u7iIiIniQMchQgLetQiu4qV62dNGPyVXZZERERWYxBjgJKu6wDAKhUKimbk8biYyIiIosxyFHAHRmGkANAkGcFAMDR1MxSt4mIiOhJwyBHZnk6PbJz8wEAro52pTpWM/+KAIADKTdL2SoiIqInD4McmV26eRt6UbBulWEYuLWaV68EADiQckOOphERET1RGOTI7Pz12wCAapWcoFKpSnWsZtUqAgDOXruF6zl3S9s0IiKiJwqDHJmdv3ELAFDdw7nUx3J3tkeQpwsA4OD5m6U+HhER0ZOEQY7Mzl8vCHL8ZQhyAKCZP7usiIiIrMEgR2bnbxR0V/lXkifIaV69IgDgADM5REREFmGQI7P7mRwnWY5nCHKSzt+EXi9kOSYREdGTgEGOzC7cq8mpJlMmp663K5zsNci6k4/TV7NlOSYREdGTgEGOjHJy83E1u2AUlFw1OXYaNRpXcwcA7Od8OURERGZjkCOjC/fqcdwc7eDuZC/bcVsFFBQf//pPqmzHJCIiKu8Y5MhI7pFVBuEtq0OlAn4/fgUnL2fJemwiIqLyikGOjAxz5Mg1ssqgemVndKvvDQBYuPusrMcmIiIqrxjkyMgw23H1yvIGOQAwqkMgAGDV/gu4eYuzHxMRET0MgxwZ3c/kyDN8vLA2gR5o4OuGO3l6/LQ3RfbjExERlTcMcmRkqMmpJnNNDgCoVCopmzNz23GsS7oo+zmIiIjKEwY5MhFC3C88lrkmx+C55n7o16wq8vUC45clYe7vp5B1J0+RcxERET3u7Mq6AeXFjVt5yLmrA1CwArkSNGoVZoY1g5ujPRb9eQ7TNx3DzG3H0bmuF7rW90JIXU94uToqcm4iIqLHzSORyZk9ezYCAgLg6OiINm3a4K+//ipx/xUrVqBevXpwdHRE48aNsXHjRhu1tHiGLI6XqxaO9hrFzqNWq/Bhv4aI7tsQNT1dkJuvx+YjaXhr5T9oPS0Ovf+3C59vScaO5Mu4cOMWl4IgIqInVplncpYtW4YJEyZg7ty5aNOmDWbNmoUePXogOTkZXl5eRfbfs2cPhgwZgpiYGDz77LNYsmQJ+vfvj/3796NRo0ZlcAUFNGoVutbzknUSwOKoVCpEtgtARHANHLmUia1H0rDz+BX8cyEDRy5l4silTKP9tXZqOGgK4lm9EBAAhABcHe1QtaITqns4o76vGxpUdUMDXzd4umoVvwYiIiKlqYQQZfqnfps2bdCqVSt8/fXXAAC9Xg9/f3+8+uqrmDRpUpH9w8PDkZOTgw0bNkjb2rZti2bNmmHu3LkPPV9mZibc3d2RkZEBNzc3+S7kEXAlKxfxx68g/sQVHEvNwumr2cjTWf72Vqmghb+HE7xdHeGivR8Hq1T3/i1yX2V8XyU9o8jz1CoV7DVq2NupoNWo4WCnhur+EwAU1DcV/Avk5utxO0+HG7fu4kpWLq5mF/x749Zd6O5lqVwd7eDpqkWVClp4umrh4ewAR3s17DVq6IRAvk4gX6dHnr7g33yduP9/vYDWTg1nBw2cHezg7KApaBNUUKmMr7VwOx+8dlMKwkkT2634iSvpx7Sk4xX3UMnPsbzdJV5SMU8UAO7q9MjN0yM3X4c7hf7N0+nhoFHD0V4DR3sNnBzUcLTTwMlBA62Jz0xxTO1W0nsmp+Jex1If9zFLzir1K0ap10Gpl1eJ9ir5GcvT6XEnr+D7NzdPhzv5Oty+q0Nuvh4atQpaOw209mpo7dQF/7dT37tf8H+/ik7o39xP1nZZ8/u7TDM5d+/exb59+zB58mRpm1qtRmhoKBISEkw+JyEhARMmTDDa1qNHD6xdu9bk/rm5ucjNzZXuZ2RkACh4scobLYButd3QrXbBm5+n0yPzdh7u5OlwV6eHWmX4xV3wNX/z9l2kZtzB2Ws5SE7NwrH0LJy7dguXr93C5Ws3yvRaLJGRC2RkACfLuiFERAQAaFLNHV2CXGU9puH3tiWBc5kGOVevXoVOp4O3t7fRdm9vbxw7dszkc9LS0kzun5aWZnL/mJgYREdHF9nu7+9vZauJiIioJOcBuE9U5thZWVlwd3c3a98yr8lR2uTJk40yP3q9HtevX0flypXNTnnLKTMzE/7+/jh//ny56y4DeH2PO17f443X93jj9ZVMCIGsrCxUrVrV7OeUaZBTpUoVaDQapKenG21PT0+Hj4+Pyef4+PhYtL9Wq4VWa1xIW7FiResbLRM3N7dy+SE24PU93nh9jzde3+ON11c8czM4BmU6hNzBwQEtWrRAXFyctE2v1yMuLg7BwcEmnxMcHGy0PwBs27at2P2JiIjoyVTm3VUTJkxAZGQkWrZsidatW2PWrFnIycnByJEjAQARERHw8/NDTEwMAOD1119HSEgIZsyYgd69e2Pp0qVITEzEvHnzyvIyiIiI6BFT5kFOeHg4rly5gilTpiAtLQ3NmjXD5s2bpeLilJQUqNX3E07t2rXDkiVL8P777+Pdd99F7dq1sXbt2jKdI8cSWq0WU6dOLdKFVl7w+h5vvL7HG6/v8cbrk1+Zz5NDREREpIRHYlkHIiIiIrkxyCEiIqJyiUEOERERlUsMcoiIiKhcYpCjgNmzZyMgIACOjo5o06YN/vrrrxL3X7FiBerVqwdHR0c0btwYGzdutFFLrWPJ9c2fPx9PP/00KlWqhEqVKiE0NPShr0dZs/T9M1i6dClUKhX69++vbANLydLru3nzJqKiouDr6wutVos6deo80p9RS69v1qxZqFu3LpycnODv74833ngDd+7csVFrzRcfH48+ffqgatWqUKlUxa7XV9jOnTvx1FNPQavVolatWoiNjVW8nday9PpWr16Nbt26wdPTE25ubggODsaWLVts01grWPP+GezevRt2dnZo1qyZYu0rLWuuLzc3F++99x5q1KgBrVaLgIAAfP/997K2i0GOzJYtW4YJEyZg6tSp2L9/P5o2bYoePXrg8uXLJvffs2cPhgwZgtGjR+PAgQPo378/+vfvj8OHD9u45eax9Pp27tyJIUOGYMeOHUhISIC/vz+6d++Oixcv2rjl5rH0+gzOnj2LiRMn4umnn7ZRS61j6fXdvXsX3bp1w9mzZ7Fy5UokJydj/vz58POTd3VhuVh6fUuWLMGkSZMwdepUHD16FN999x2WLVuGd99918Ytf7icnBw0bdoUs2fPNmv/M2fOoHfv3ujcuTOSkpIwfvx4jBkz5pENBCy9vvj4eHTr1g0bN27Evn370LlzZ/Tp0wcHDhxQuKXWsfT6DG7evImIiAh07dpVoZbJw5rrCwsLQ1xcHL777jskJyfj559/Rt26deVtmCBZtW7dWkRFRUn3dTqdqFq1qoiJiTG5f1hYmOjdu7fRtjZt2oiXX35Z0XZay9Lre1B+fr5wdXUVP/zwg1JNLBVrri8/P1+0a9dOLFiwQERGRop+/frZoKXWsfT65syZI2rWrCnu3r1rqyaWiqXXFxUVJbp06WK0bcKECaJ9+/aKtrO0AIg1a9aUuM/bb78tGjZsaLQtPDxc9OjRQ8GWycOc6zOlQYMGIjo6Wv4GycyS6wsPDxfvv/++mDp1qmjatKmi7ZKLOde3adMm4e7uLq5du6ZoW5jJkdHdu3exb98+hIaGStvUajVCQ0ORkJBg8jkJCQlG+wNAjx49it2/LFlzfQ+6desW8vLy4OHhoVQzrWbt9X344Yfw8vLC6NGjbdFMq1lzfevXr0dwcDCioqLg7e2NRo0a4ZNPPoFOp7NVs81mzfW1a9cO+/btk7q0Tp8+jY0bN+KZZ56xSZuV9Dh9t8hBr9cjKyvrkfxusdbChQtx+vRpTJ06taybIrv169ejZcuW+O9//ws/Pz/UqVMHEydOxO3bt2U9T5nPeFyeXL16FTqdTpqt2cDb2xvHjh0z+Zy0tDST+6elpSnWTmtZc30Peuedd1C1atUiX76PAmuu748//sB3332HpKQkG7SwdKy5vtOnT2P79u0YOnQoNm7ciJMnT2Ls2LHIy8t75L54rbm+F154AVevXkWHDh0ghEB+fj5eeeWVR7K7ylLFfbdkZmbi9u3bcHJyKqOWKePzzz9HdnY2wsLCyropsjhx4gQmTZqEXbt2wc6u/P2qPn36NP744w84OjpizZo1uHr1KsaOHYtr165h4cKFsp2HmRyymenTp2Pp0qVYs2YNHB0dy7o5pZaVlYXhw4dj/vz5qFKlSlk3RxF6vR5eXl6YN28eWrRogfDwcLz33nuYO3duWTdNFjt37sQnn3yCb775Bvv378fq1avx66+/4qOPPirrppEFlixZgujoaCxfvhxeXl5l3ZxS0+l0eOGFFxAdHY06deqUdXMUodfroVKp8NNPP6F169Z45pln8MUXX+CHH36QNZtT/sLDMlSlShVoNBqkp6cbbU9PT4ePj4/J5/j4+Fi0f1my5voMPv/8c0yfPh2//fYbmjRpomQzrWbp9Z06dQpnz55Fnz59pG16vR4AYGdnh+TkZAQFBSnbaAtY8/75+vrC3t4eGo1G2la/fn2kpaXh7t27cHBwULTNlrDm+v7zn/9g+PDhGDNmDACgcePGyMnJwUsvvYT33nvPaN28x01x3y1ubm7lKouzdOlSjBkzBitWrHgkM8TWyMrKQmJiIg4cOIBx48YBKPhuEULAzs4OW7duRZcuXcq4laXj6+sLPz8/uLu7S9vq168PIQQuXLiA2rVry3Kex/cn+BHk4OCAFi1aIC4uTtqm1+sRFxeH4OBgk88JDg422h8Atm3bVuz+Zcma6wOA//73v/joo4+wefNmtGzZ0hZNtYql11evXj0cOnQISUlJ0q1v377SaBZ/f39bNv+hrHn/2rdvj5MnT0rBGwAcP34cvr6+j1SAA1h3fbdu3SoSyBgCOvGYL+v3OH23WOvnn3/GyJEj8fPPP6N3795l3RzZuLm5FflueeWVV1C3bl0kJSWhTZs2Zd3EUmvfvj0uXbqE7Oxsadvx48ehVqtRrVo1+U6kaFnzE2jp0qVCq9WK2NhY8e+//4qXXnpJVKxYUaSlpQkhhBg+fLiYNGmStP/u3buFnZ2d+Pzzz8XRo0fF1KlThb29vTh06FBZXUKJLL2+6dOnCwcHB7Fy5UqRmpoq3bKyssrqEkpk6fU96FEfXWXp9aWkpAhXV1cxbtw4kZycLDZs2CC8vLzExx9/XFaXUCJLr2/q1KnC1dVV/Pzzz+L06dNi69atIigoSISFhZXVJRQrKytLHDhwQBw4cEAAEF988YU4cOCAOHfunBBCiEmTJonhw4dL+58+fVo4OzuLt956Sxw9elTMnj1baDQasXnz5rK6hBJZen0//fSTsLOzE7Nnzzb6brl582ZZXUKJLL2+Bz3qo6ssvb6srCxRrVo1MXDgQHHkyBHx+++/i9q1a4sxY8bI2i4GOQr46quvRPXq1YWDg4No3bq1+PPPP6XHQkJCRGRkpNH+y5cvF3Xq1BEODg6iYcOG4tdff7Vxiy1jyfXVqFFDAChymzp1qu0bbiZL37/CHvUgRwjLr2/Pnj2iTZs2QqvVipo1a4pp06aJ/Px8G7fafJZcX15envjggw9EUFCQcHR0FP7+/mLs2LHixo0btm/4Q+zYscPkz5LheiIjI0VISEiR5zRr1kw4ODiImjVrioULF9q83eay9PpCQkJK3P9RY837V9ijHuRYc31Hjx4VoaGhwsnJSVSrVk1MmDBB3Lp1S9Z2qYR4zHOyRERERCawJoeIiIjKJQY5REREVC4xyCEiIqJyiUEOERERlUsMcoiIiKhcYpBDRERE5RKDHCIiIiqXGOQQERGRLOLj49GnTx9UrVoVKpUKa9eutfgYQgh8/vnnqFOnDrRaLfz8/DBt2jSr2sMFOonooUaMGIGbN29a9YVFRE+OnJwcNG3aFKNGjcKAAQOsOsbrr7+OrVu34vPPP0fjxo1x/fp1XL9+3apjMZND9Jjq1KkTxo8fr/hzyHzXr1/Hq6++irp168LJyQnVq1fHa6+9hoyMDKP9XnvtNbRo0QJarRbNmjUz69irV69Gt27d4OnpCTc3NwQHB2PLli1G+8yZMwdNmjSBm5ubtM+mTZvkujyih+rVqxc+/vhjPPfccyYfz83NxcSJE+Hn5wcXFxe0adMGO3fulB4/evQo5syZg3Xr1qFv374IDAxEixYt0K1bN6vawyCHiBR19+7dsm6CzVy6dAmXLl3C559/jsOHDyM2NhabN2/G6NGji+w7atQohIeHm33s+Ph4dOvWDRs3bsS+ffvQuXNn9OnTBwcOHJD2qVatGqZPn459+/YhMTERXbp0Qb9+/XDkyBFZro+otMaNG4eEhAQsXboU//zzDwYNGoSePXvixIkTAIBffvkFNWvWxIYNGxAYGIiAgACMGTPG6kwOF+gkegxFRkYWWQjvzJkzYufOnaJVq1bCwcFB+Pj4iHfeeUfk5eWV+Jz8/HwxatQoERAQIBwdHUWdOnXErFmzipzP3IVHQ0JCRFRUlHj99ddF5cqVRadOnYQQQhw6dEj07NlTuLi4CC8vLzFs2DBx5coVIYQQ3377rfD19RU6nc7oWH379hUjR46U7q9du1Y0b95caLVaERgYKD744APp+oQQAoCYP3++6N+/v3BychK1atUS69atkx5fuHChcHd3NzrHmjVrxINfhQ87jyWWL18uHBwcTD6/tIsuNmjQQERHR5e4T6VKlcSCBQusPgeRtQCINWvWSPfPnTsnNBqNuHjxotF+Xbt2FZMnTxZCCPHyyy8LrVYr2rRpI+Lj46VFZjt37mxVG5jJIXoMffnllwgODsaLL76I1NRUpKamwt7eHs888wxatWqFgwcPYs6cOfjuu+/w8ccfF/scf39/6PV6VKtWDStWrMC///6LKVOm4N1338Xy5cutbt8PP/wABwcH7N69G3PnzsXNmzfRpUsXNG/eHImJidi8eTPS09MRFhYGABg0aBCuXbuGHTt2SMe4fv06Nm/ejKFDhwIAdu3ahYiICLz++uv4999/8e233yI2NrZIQWJ0dDTCwsLwzz//4JlnnsHQoUMt+ivQ3POYKyMjA25ubrCzk7cEUq/XIysrCx4eHiYf1+l0WLp0KXJychAcHCzruYmscejQIeh0OtSpUwcVKlSQbr///jtOnToFoOBznZubix9//BFPP/00OnXqhO+++w47duxAcnKy5Se1OkQjojIVEhIiXn/9den+u+++K+rWrSv0er20bfbs2aJChQpShuTB5xQnKipKPP/889J9SzM5zZs3N9r20Ucfie7duxttO3/+vAAgkpOThRBC9OvXT4waNUp6/NtvvxVVq1aV2t61a1fxySefGB1j0aJFwtfXV7oPQLz//vvS/ezsbAFAbNq0SQhhXibHnPOY68qVK6J69eri3XffNfl4aTI5n376qahUqZJIT0832v7PP/8IFxcXodFohLu7u/j111+tOj5RaeGBTM7SpUuFRqMRx44dEydOnDC6paamCiGEmDJlirCzszM6zq1btwQAsXXrVovbwNFVROXE0aNHERwcDJVKJW1r3749srOzceHCBVSvXr3Y586ePRvff/89UlJScPv2bdy9e9fsglhTWrRoYXT/4MGD2LFjBypUqFBk31OnTqFOnToYOnQoXnzxRXzzzTfQarX46aefMHjwYKjVaukYu3fvNsqo6HQ63LlzB7du3YKzszMAoEmTJtLjLi4ucHNzw+XLl81uu7nneZjMzEz07t0bDRo0wAcffGD2+QEYvU7Dhg3D3LlzjR5fsmQJoqOjsW7dOnh5eRk9VrduXSQlJSEjIwMrV65EZGQkfv/9dzRo0MCiNhDJrXnz5tDpdLh8+TKefvppk/u0b98e+fn5OHXqFIKCggAAx48fBwDUqFHD4nMyyCF6wi1duhQTJ07EjBkzEBwcDFdXV3z22WfYu3ev1cd0cXExup+dnY0+ffrg008/LbKvr68vAKBPnz4QQuDXX39Fq1atsGvXLsycOdPoGNHR0SaHpTo6Okr/t7e3N3pMpVJBr9cDANRqNQr+wLwvLy+vSFvNOU9JsrKy0LNnT7i6umLNmjVF2vQwSUlJ0v/d3NyMHlu6dCnGjBmDFStWIDQ0tMhzHRwcUKtWLQAFwebff/+NL7/8Et9++61FbSCyRnZ2Nk6ePCndP3PmDJKSkuDh4SH9MRMREYEZM2agefPmuHLlCuLi4tCkSRP07t0boaGheOqppzBq1CjMmjULer0eUVFR6NatG+rUqWNxexjkED2mHBwcoNPppPv169fHqlWrIISQsjm7d++Gq6srqlWrZvI5hn3atWuHsWPHStsM/eNyeeqpp7Bq1SoEBAQUW5vi6OiIAQMG4KeffsLJkydRt25dPPXUU0bHSE5Oln6BW8PT0xNZWVnIycmRArHCAYUc58nMzESPHj2g1Wqxfv16swOjwoo7988//4xRo0Zh6dKl6N27t1nHMtQ4ENlCYmIiOnfuLN2fMGECACAyMhKxsbFYuHAhPv74Y7z55pu4ePEiqlSpgrZt2+LZZ58FUPCHyC+//IJXX30VHTt2hIuLC3r16oUZM2ZY1R4GOUSPqYCAAOzduxdnz55FhQoVMHbsWMyaNQuvvvoqxo0bh+TkZEydOhUTJkyQunwefI6Hhwdq166NH3/8EVu2bEFgYCAWLVqEv//+G4GBgbK1NSoqCvPnz8eQIUPw9ttvw8PDAydPnsTSpUuxYMECaDQaAMDQoUPx7LPP4siRIxg2bJjRMaZMmYJnn30W1atXx8CBA6FWq3Hw4EEcPnxYKq5+mDZt2sDZ2RnvvvsuXnvtNezduxexsbGynSczMxPdu3fHrVu3sHjxYmRmZiIzMxNAQYBluM6TJ08iOzsbaWlpuH37thRoNWjQAA4ODiaPvWTJEkRGRuLLL79EmzZtkJaWBgBwcnKCu7s7AGDy5Mno1asXqlevjqysLCxZsgQ7d+4sMp8OkVI6depUJFtamL29PaKjoxEdHV3sPlWrVsWqVavkaZDVFUVEVKaSk5NF27ZthZOTk1lDyIt7zp07d8SIESOEu7u7qFixovi///s/MWnSJKOCWEsLj00VNx8/flw899xzomLFisLJyUnUq1dPjB8/3qhQWqfTCV9fXwFAnDp1qsgxNm/eLNq1ayecnJyEm5ubaN26tZg3b570OB4odBRCCHd3d7Fw4ULp/po1a0StWrWEk5OTePbZZ8W8efOKDCF/2HmKs2PHjiLD9FFouH7h1+hh+zyouOdERkZK+4waNUrUqFFDODg4CE9PT9G1a1erijWJyguVECWEXERERESPKc6TQ0REROUSgxwiMltKSorRJF4P3lJSUsq6iYr66aefir32hg0blnXziOgB7K4iIrPl5+fj7NmzxT5e0uip8iArKwvp6ekmH7O3t7dqHg8iUg6DHCIiIiqX2F1FRERE5RKDHCIiIiqXGOQQERFRucQgh4iIiMolBjlERERULjHIISIionKJQQ4RERGVS/8PKR2v/eIo/WkAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 167, "id": "8c80a902-bbed-4f7a-ab0b-b309b941053a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1480.000000\n", "mean 8071.721303\n", "std 48486.566006\n", "min 0.017842\n", "25% 111.446217\n", "50% 967.329496\n", "75% 5246.773851\n", "max 1544999.180024\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 167, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 168, "id": "cf367ba4-7439-44ab-92b4-4482cc965a43", "metadata": {}, "outputs": [], "source": [ "k0 = unscaled_tier3[unscaled_tier3['Kproto_clusters']=='1'].copy()" ] }, { "cell_type": "code", "execution_count": 169, "id": "793c24ac-23a9-47ac-b571-918dc5f347cf", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 170, "id": "f0de2970-ab9e-4697-ae23-ed8490ae44e0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k0)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 171, "id": "3ebeccca-8b64-48cc-9667-addcefa80160", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 171, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k0, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 172, "id": "8d18f4b4-46db-4e75-925a-fecb3d18c804", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1869.000000\n", "mean 12521.711821\n", "std 104852.953320\n", "min 0.012069\n", "25% 186.040565\n", "50% 1177.971632\n", "75% 6302.643811\n", "max 3732648.829715\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 172, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k0['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 173, "id": "7e44121b-c00f-4132-8ffc-dcbcb40a0e33", "metadata": {}, "outputs": [], "source": [ "k2 = unscaled_tier3[unscaled_tier3['Kproto_clusters']=='2'].copy()" ] }, { "cell_type": "code", "execution_count": 174, "id": "d39009da-ea94-4618-a69d-ef6a274a661b", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PRIMARY_GENRE', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 175, "id": "1d0d66e9-0941-420f-901d-9973562ad244", "metadata": {}, "outputs": [ { "data": { "image/png": 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bxqabbhp/+tOf8sr473//O/bff/9o165dtGjRIrbeeutKiWR//etfo1u3btGmTZvYb7/9YtGiRbXGcN11142OHTvGVlttFaecckrMmzcv/vWvf6XvT5kyJXbYYYdo1qxZdOnSJU466aT44osv0ve7desWF1xwQey///7RokWLWG+99eLKK69M36/qTnyfffZZFBUVpduuT58+EZHrPN16662x7777RqdOnaJ///7pdx555JH4/PPP46GHHkq3SWlpaVxzzTXpNunTp09svvnm0bhx45g0aVKMGzcujfU777xT7V0GnnzyyYiIWLJkSZx++umx3nrrRYsWLWLbbbdN3yvbjm3bto37778/NttssygtLY333nuvUkwfeuih+NGPfhRt27aN9u3bx2677RZvvvlmpZjcc889MXDgwGjevHn07t07pk2blrecN954Ix555JFo3rx5rL322nHttdfGV199Fe3atYuOHTtWustYIW3E7NmzY8cdd4xmzZpF+/bt4+ijj86rFwpp02qL07vvvhvDhg2LtdZaK1q0aBGbb755/POf/4yIylnetdXNNSmrD7t27RrHHntsDBo0KO6///7473//G4ccckistdZa0bx58xg6dGi8/vrr6feq2o6HH3543HjjjfH3v/89b7+oKit91qxZ6T5VZvz48dGlS5do3rx57LnnnvG73/0ur8148803Y/jw4dGhQ4do2bJlbLPNNit8EWT5dV9vvfViq622SgdAEyZMSO9aUFv9XFav1VRvDBgwIE488cQ45ZRTYq211ooOHTrE+PHj44svvojDDjssWrVqFRtttFFMmDAh/c6yZcviiCOOiO7du0ezZs2iR48eMW7cuLzyl+1nv/71r6Nz587Ro0ePKtfzmmuuibZt267Uu/MOGDAgTjrppDjzzDNX+NiqWM8VEoPVzaGHHlplvVnXdbnpppuiffv2sWTJkrzX99hjj2ov3shi8eLFcfvtt8exxx4bu+66a95dO8qO3wkTJkTfvn2jtLQ0pkyZEosWLYoDDzwwWrRoEZ06dYrf//73lfrChbYH1fWhRo8eXWWdUnFfKSvjxIkTY+utt47mzZvHdtttF3Pnzk1/q77rj6ocd9xxUVRUFM8++2zstddeVfZlIiL+85//xJ577hnNmzePjTfeOO6///5K8a7pLh61jXWqU0h/LyLivffei+HDh0fLli2jdevWse+++8ZHH32Uvl/VHUhOOeWUtL9f3XFQZubMmdVup+rceeedsdlmm8XZZ58dTz31VMybNy99r6ioKGbOnBljxoxJ+4XVjWWqGov84x//iG222SaaNm0aa6+9duy6665pnP7973/HXnvtFTvttFOMGzcubrvttliwYEHeHRQL7Y/URxtXW3+xkO1X1m5dc8010b1792jatGlE1NzeFbJv1/a7FS1fvjzGjBkT66+/fpSWlsaWW26Z9k/Lx/WOO+5I+9DbbLNNvPbaazFjxozYeuuto2XLljF06ND4+OOPKy3//PPPT9flmGOOyZskrlhX/fWvf42tt946WrVqFR07dowDDjig2rsYH3fccVFcXBzPPfdc7LvvvtGzZ8/YcMMNY/jw4fHggw/GsGHDao1nTduhqKgo/vznP8duu+0WzZs3j549e8a0adPijTfeiAEDBkSLFi1iu+22y+sTF7rv1DQ3seOOO+aNTyNyd18rKSmpc/+h0BiVjS933333aNGiRfz617+OiNrruELGzhWP6z333DN9r7a2aVUpdKxz2223xXbbbRdNmzaN73//+zFp0qT0M3XpL9Y0LqkPNfUlqqp7K9718MUXX4yBAwdGq1atonXr1tG3b9947rnn4sknn4zDDjssPv/880rj/7I68ZBDDonWrVundzmtbV6ioortWm3bpi4KqT/rY85pxowZsfPOO8faa68dbdq0if79+8fzzz+fV5ZCxrl1jV0WZWOxLl26xB577BGDBg1Ky1TVHRq33HLLdNsnSRKjR49O7w7ZuXPnOOmkk9LP/ulPf4qNN944fXLP3nvvnb6XpQ2oj/Xt2LFjbLnllnH22Wenc7AREfPmzYt999032rRpE5MnT47GjRtH9+7d0/5ar169olOnTuny5s2bFxtttFF6F/6NN944tt5663TdRo8eHSUlJbHffvul7UxRUVEsXrw4vv322zjhhBOidevWUVRUFIccckgkSZL2Qzt06BDrrbdeNGvWLHbccccYM2ZMdOvWLRo1apT+Vm0xqo/9etmyZXHqqaemx+KZZ56ZdwF3TUaOHJmX0PvVV1/FbbfdFiNHjqz02ULm1GtqQ8tu9tOnT5+8OfCImucoq+tDHnDAAXn1xoIFC+KYY46JX/7yl7Fo0aJ0Xy8bUzRr1ixatGgRJSUl0b1797jlllvSk5VlY4qioqJo3rx5/PCHP4xGjRpFixYtYsiQIXHxxRfH9773vSgpKYmuXbvG97///RrrkZWlY8eOaV+vffv28e2336bHy7333htJksRHH30UN998c2yzzTbxyCOPxEUXXZS2fyUlJek5mtNOOy2d10+SJC6//PIoKiqKtddeO84777yIiFhvvfXS+JTVn23bto3i4uJo3LhxtGrVKgYPHpxeEFZUVBQ77bRTlJaWRlFRUTRr1qzSflKIoqKi6NixY3Tu3DmGDh0aJ510Ujz22GPx1VdfVTtXWtPc3MKFC6NZs2Z5c0kREffee2+0atUqvvzyyxUaO0fUb1+quLg4zjzzzBg+fHhMmTIlBg0aFJMnT47+/ftH8+bN46677or1118/WrZsWWlst+WWW1Z598uy9nXx4sUxb968tH097bTT4qijjkrPX0REPPzww+n4u1u3bnn9q5KSkigqKooHH3wwInJ1U1k5Ntlkk2jZsmX06tUr2rRpk9ZXZfPL7dq1yztWajrev/nmmzjhhBOiU6dO0bRp0+jatWtcdNFFte4z5c9dtWnTJt2HOnbsGFdffXX86Ec/yvv85ZdfnneedEXnDV9++eUYOnRotGzZMjp06BAHH3xw/Oc//4mIVT9fVdGAAQOqPIdXU5mrUlv7X+ixcvHFF0eHDh2iVatWccQRR6yUp4ANGjQoOnbsWOM+U0hbVrHfvPfee+eNAU855ZQoKipKz2l988030aJFi3RsWVsfuboxZZMmTdbYuaiI3Phz5513jg8++CCmTJmStvuFnjuZN29eFBcXx2effRa/+MUv0jq07PqK8nXolClTol+/fml7VFxcHJtvvnnceuut8cc//jEvKaRsPHX11Venrw0aNCh+9atfVbkebdq0qXRO/Nprr41p06bFfffdF2uvvXb62drOsdZ1zFDIWKWoqCiuueaaSvOl5cv7zjvvxOLFi6N79+6x//77x8KFC/OWUdM2LnTepKa7xBd6/rum80RffPFFep1Gp06dVqg/EVH7HO/pp5+elwhe1h8qP++20UYbpeeFI2rf7s8++2z06dMnvZ7lhRdeqFSu2uriQs4hrUx33XVX9OrVKz2vO2jQoPQ8fXVtZiHjxbq2QSvb6jI/s6Ln+wpp92q65mLAgAHx7rvvxs9//vO0nOXVdj1PIWO4iuccKqqPudqImo+7snqgZcuWse+++8amm24aBx54YHTs2DGvfa1q/jXrneRX1nxkxT5pbfMKharuurC6Xte3MmKwYMGCGDZsWDRr1iy6d+9e5f5U35YvXx6XXnppbLTRRlFaWhobbLBBOi8f8X/zU23bto127drF8OHDq7w+sUx9Xc9zww03xAYbbJCeP2voZMOa9r/q6sNf/OIXse2221ZaVu/evWPMmDERsXLnoVeGGTNmxDrrrBOXXHJJRFR/XqvQ/aCucxMrej68JlnnASMKu863OkmSxIknnhhXXHFFPProozFkyJCIKPycadZz0VtttVV06dIl7rnnnvS1e+65JzbYYIP0esOIuu+btdWLTz31VDRp0iQ+/PDDvO+dcsopscMOO0TEqrs+Lqvqrq9b0eskK56viMjNsTTEU0wkZzSgjh07xj//+c9aL1B+4okn4ssvv4xBgwbFQQcdFLfddlulxxLX9v0333wznnjiibjxxhvjhhtuqPaRTjNmzIiIiOuvvz7mz5+f/j158uQ45JBD4uSTT45XX301/vznP8cNN9yQdiiWL18eP/3pT6OkpCSmT58eV199dZx11lkFl/Gss86KCy64IB544IG8SenqjB07Nu0sH3fccXHsscemDcrChQtj2LBh0atXr3j++efjggsuqFSWefPmxU9/+tMYNmxYzJo1K4488sj07vhlZs6cGfvuu2/st99+MXv27Bg9enSce+65lWL3+9//Prbffvt44YUXYv3114+ZM2fGIYccEgcddFBMnjw5li9fHk2aNIl27dql3zn77LPj5JNPjjlz5sTgwYPj66+/jr59+8aDDz4YL7/8chx99NFx8MEHx7PPPhsR//c4qrJ/L7zwQrRv3z5+/OMfFxzjhnTjjTdGSUlJTJ06NZ3UatSoUVxxxRXxyiuvxI033hiPP/54nHnmmXnf+/LLL+O3v/1t/PWvf42nnnoq3nvvvbw7F1111VVx/PHHx9FHHx2zZ8+O+++/PzbaaKP0/X322ScWLFgQEyZMiJkzZ8ZWW20VO+20U3z66aerZL1btmwZLVu2jPvuu6/SxHp55557buy1117x4osvxoEHHhj77bdfzJkzJ32/VatWccMNN8Srr74a48aNi/Hjx8fvf//7Gn/7iSeeiFdeeSWWLl0aBx98cHrhXHllnYURI0bk7V+33nprFBcXx/bbbx8RETfffHOcd9558etf/zrmzJkTv/nNb+Lcc89NH8m7ePHi6N+/f7z//vtx//33x4svvhhnnnlmXjbim2++Gffdd1888MAD8cADD8SkSZMqPT6zJp9//nn62LGSkpJ0mUOGDIm99torXnrppbj99ttjypQplSarL7vssujdu3f6FIyTTz65oOSxZs2axX333ZdedHbGGWfE2LFjY8aMGdGlS5eYPHlyemJg7ty5eYkUCxcujG+++SadxJ47d2689NJLcfTRR8ezzz4bvXr1ih/+8IdpzLt06VLpLjsnn3xyrLvuurHppptGRMQJJ5wQ06ZNi9tuuy1eeuml2GeffWLIkCF5k9NffvllXHLJJXHNNdfEK6+8UuVdrL/44os49dRT47nnnouJEydGo0aNYs8996yUPfrLX/4yTj/99Jg1a1Zssskmsf/++6ed8unTp8fUqVOje/fuMWvWrFhrrbViypQpUVRUFNOnT49LL700xowZk8a5kDbiiy++iMGDB8daa60VM2bMiDvvvDMee+yxStuztjattjgdf/zxsWTJknjqqadi9uzZcckll0TLli2r3Adqq5vrolmzZvHNN9/EoYceGs8991zcf//9MW3atEiSJHbZZZe8SYOK2/GKK66IfffdN+8uFNttt11Bvzt16tQ45phj4uSTT45Zs2bFzjvvnDcZEJE7hnfZZZeYOHFivPDCCzFkyJAYNmxYlck9K2rHHXeM3r17pwOSQurnQuqNG2+8MdZee+149tln48QTT4xjjz029tlnn9huu+3i+eefj5/85Cdx8MEHx5dffhkRuX1x/fXXjzvvvDNeffXVOO+88+IXv/hF3HHHHXnLnThxYsydOzceffTReOCBByqtz6WXXhpnn312PPLII7HTTjvVW5yqcuONN0aLFi1W+NiqqNAYrE7GjRsX/fr1i6OOOiqv3qzruuyzzz6xbNmyvIv2FyxYEA8++GCl5Oj6cMcdd8Smm24aPXr0iIMOOiiuu+66Shc+nX322XHxxRfHnDlzYosttohTTz01pk6dGvfff388+uijMXny5Eon1gptD6rrQ51++ul1qlN++ctfxtixY+O5556L4uLivFit7Prj008/jYceeiiOP/74aNGiRaX3y098nH/++bHvvvvGSy+9FLvssksceOCBBff5ahvr1KSQ/t7y5ctj+PDh8emnn8akSZPi0UcfjbfeeitGjBhRUPkiqj8OytS0napz7bXXxkEHHRRt2rSJoUOH5rWn8+fPTy/EqXj30IpjmYoefPDB2HPPPWOXXXaJF154ISZOnBj9+vVL4/Tll1/GBRdcEC+++GLcd999aZJqVWrqj9RnG1dTf7HQ7ffGG2/E3XffHffcc086WVhde/fmm2/Wum+vyH4zbty4GDt2bPz2t7+Nl156KQYPHhy77757Xv0Qkbt7zK9+9at4/vnno7i4OA444IA488wzY9y4cTF58uR444030gvtykycODHmzJkTTz75ZNx6661xzz33xPnnn19tWZYuXVrQdv7kk0/ikUceqTYWEZGe8Cuk/1DVdoiI9GTmrFmzYtNNN40DDjggfvazn8U555wTzz33XCRJktfvLHTfqWlu4sgjj4xbbrklr27429/+Fuutt17suOOO1cYuS4wicpP5e+65Z8yePTsOP/zwguq42mJb1XH9gx/8IP1+IW3TqlDoWOeMM86I0047LV544YXo169fDBs2LD05VWj/oi5zbSuqkL5ETQ488MBYf/31Y8aMGTFz5sw4++yzo0mTJrHddttVukNq+Xr+t7/9bVonnnvuuRGxYvMS5RW6bWpTaN+gPuacFi1aFCNHjowpU6bEM888ExtvvHHssssu6TxuoX3xrLFbUS+//HI8/fTT6RxKbe6+++70aRuvv/563HfffdGrV6+IiHjuuefipJNOijFjxsTcuXPjoYceqnFOstA2oD4tXrw4/va3v8VGG20U7du3j6VLl8bgwYOjVatW8eSTT0bz5s3jk08+iZ/85CfV3oHuhz/8YXzwwQdx5ZVXxj/+8Y+IiHj++efzLgr99ttv48UXX4x77rknvfA4IjduKy4uTi94uPPOO/MuzPrss89i7733jqeffjrmzZsXN910U6yzzjrxj3/8I373u9/FW2+9FcOHD69xHetjvx47dmzccMMNcd1118WUKVPi008/rfQ0jOocfPDBMXny5LQtvPvuu6Nbt26x1VZb5X2u0Dn1mtrQsnmXxx57LObPn5/OJdQ2R1mmfB+yW7duMW3atDj22GOjRYsWleYT77zzzpgyZUpE/N+YYquttormzZtHkyZN4rrrrou//OUvVd5l9quvvopFixbFPffcE/fee2+88sor8Ytf/CJOO+20ePnll2OXXXaJV199NcaOHVtlPbKq7LDDDnn7/W233RaDBw+O7bbbLoYNGxZDhgyJXXfdNa699tq4+uqr45VXXonWrVvHX//615g0aVIMGDAgli5dGs8++2xcccUVMWnSpCgpKYmSkpI477zz4v3338+7e/CiRYtiwIAB8eWXX8Y+++wTw4cPj9LS0th5553zzms9+eSTccopp8Q///nP6N69e5x++umZL5ho1qxZLF++PB0zVDVXWtPcXOvWrWO33XaLW265JW+5N998c+yxxx413v27pjFZffelFixYEJ988kl6fJfNO0bkLv5u3rx5bLTRRvHUU0/FxhtvHG3atEnHdptvvnml5X399ddp+1rVHRMvuuii9PxFRMTVV18d22+/fbz00ksxcODAiMgl8Zx22mkxfvz4iIjYf//90/5VWT365z//OZ566qn45JNPYvHixWl99bvf/S5KS0tj++23T4+VgQMHxrnnnlvt8X7FFVfE/fffH3fccUfMnTs3br755rwkipWprvOGn332Wey4447Rp0+feO655+Khhx6Kjz76KPbdd9+IWPXzVVWpeA6vtjJXpdD2v6Zj5Y477ojRo0fHb37zm3juueeiU6dOlS5mrg+NGzeO3/zmN/GHP/wh/v3vf1d6v9C2rGK/uX///nkXikyaNCnWXnvt9LUZM2bE0qVL03m42vrINY0p19S5qA8//DC98dmkSZOiY8eO6XuFnjuZPXt29OnTJ/7whz/ETTfdFIcddlhMmzYtrRPL6tCJEyfGkCFDYsiQIXHaaafFtddeG5tuumm0atUqDj744GjXrl28+uqraWJvxe21dOnSmDZtWl6SaE0eeOCBOO+88+L666+P3r17p68X0n+p65ihtrFKmZrmS+fNmxd//OMfo0mTJtVeK7Gy54ULWe/azhOdccYZMWnSpPj73/8ejzzySDz55JMrlAxb2xxv//79Y8qUKWlfpuL+8v7778ebb76Z7i+FnFvfbbfdYrPNNouZM2fG6NGjKz29qdC6uKZzSCvT/PnzY//994/DDz88nTP86U9/mjdvUVWbWVt7sSJt0Mq2Os3PlFfoHFZt7V5t11zcc889sf7668eYMWPScpapbQxa6BiutnMO9TFXW9tx17Jly2jSpEm89NJL8fe//z3mzJkTV111VV6yXZmK869ZrYz5yKrOZRcyr1CfatoeFdVXDA499NCYN29ePPHEE3HXXXfFn/70p5Vyw5DyzjnnnLj44ovj3HPPjVdffTVuueWW6NChQ0RE3vzU5MmTY+rUqWkiU3XzU/V1Pc8RRxwRJ5xwQsyaNSsGDhwYF1544UqNQ21q2v+qqw8PPPDAePbZZ/PmCl555ZV46aWX4oADDqjyd+prHnplePzxx9NzmeXnkas6r7Wi61FT/y3L+fDq1Mc8YCHX+Vbn22+/jYMOOijuuuuumDRpUt41D4WeM816Ljoi4vDDD4/rr78+/fu6667LuzF9RN23aW314o9//OPYcMMN469//Wv6naVLl8bNN9+cbveGuj4uq7J5rvq6TrJBJawU/fv3T04++eRKr19//fVJmzZtkiRJkkmTJiXrr79+0qRJk2TrrbdOTjnllGTKlCmVvnPAAQckp5xySvp37969kx49etS6/CRJkpEjRyZdu3ZNvv322/S1ffbZJxkxYkT6d9euXZPf//736d8Rkdx77715y91pp52S3/zmN3mv/fWvf006deqUJEmSPPzww0lxcXHy/vvvp+9PmDChymWVN3LkyKSkpCSJiGTixIlVfqZiLLt27ZocdNBB6d/Lly9P1l133eSqq65KkiRJrrrqqqR9+/bJV199lX5m/PjxSUQkL7zwQpIkSXLOOeckm222Wd7vnHXWWUlEJP/973+TJMnFfeedd877zBlnnJH3vYpl2XfffZOISJo0aZK0aNEiiYhk7bXXTiIimT9/fvL2228nEZFcfvnl1cakzK677pqcdtpplV7/6quvkm233TbZbbfdkmXLliVJUnm7jxo1Kundu3etv1GfRo4cmTRu3Dhp0aJF+m/vvfdO+vfvn/Tp06fW7995551J+/bt07+vv/76JCKSN954I33tyiuvTDp06JD+3blz5+SXv/xllcubPHly0rp16+Trr7/Oe/173/te8uc//7muq7fC7rrrrmSttdZKmjZtmmy33XbJOeeck7z44ovp+xGRHHPMMXnf2XbbbZNjjz222mVedtllSd++fdO/K27vsuP+6aefTiIiueeeeyod99V54403knbt2iWXXnpp+tr3vve95JZbbsn73AUXXJD069cvSZIk+fOf/5y0atUq+eSTT6pc5qhRo5LmzZsnCxcuTF8744wzkm233bbacjzxxBNJRKT7UkQkEZHsvvvu6WeOOOKI5Oijj8773uTJk5NGjRqlx3/Xrl2TIUOG5H1mxIgRydChQ5MkSdJjsqxuSJIk+e9//5tERDJ69OhkrbXWSuuo4cOHp9vurbfeSiIi+c1vfpMsX748adGiRVJaWpqu05577pk0adIkXWazZs2STTbZJP27ujaizN133500bdo0bRPefffdpHHjxnl1bJLk6uZzzjknSZL/O2ZmzZqV95mRI0cmw4cPr/a3Pv744yQiktmzZ+fF5Jprrkk/88orryQRkcyZMydJkiTZf//9k/XWWy9dbv/+/ZO11147rx7aZpttkrPOOitJksLaiL/85S/JWmutlSxevDj9zIMPPpg0atQo+fDDD9N1qalNKyROvXr1SkaPHl1lLMr2u7J2oCrV1c3llY/58uXLk0cffTQpLS1N9thjjyQikqlTp6af/c9//pM0a9YsueOOO5Ikqdt2rKq8L7zwQhIRydtvv50kSW5/33XXXfO+d+CBB+Ztq6psvvnmyR/+8If074p9hULWvaIRI0YkPXv2LKh+LqTe6N+/f/KjH/0o/fvbb79NWrRokRx88MHpa/Pnz08iIpk2bVq1ZT7++OOTvfbaK28dOnTokCxZsiTvc2UxOPPMM5NOnTolL7/8cg2RWHHlY1hxHZOk7sdWVfVcRRVjsLqoGIua6s0yVW3P8vvksccem7YBSZIkY8eOTTbccMNk+fLl9VXs1HbbbZf2+ZYuXZqsvfbayRNPPJEkyf8dv/fdd1/6+YULFyZNmjRJ7rzzzvS1zz77LGnevHm67nVpD2rqQ1V1rFbcV8rK+Nhjj6WfefDBB5OIyOtnV1Sx/shi+vTpaV+mJhGR/OpXv0r/Xrx4cRIRyYQJE5IkqVxfVuw71zbWqU1t/b1HHnkkady4cfLee++lr5W1rc8++2ySJFVvk5NPPjnp379/+ndVx8GKbqfXXnstadKkSfLxxx8nSZIk9957b9K9e/e8Y6F3797JqFGj0r+rG8tUjGe/fv2SAw88sNJvVhenGTNmpH29inVXTf2R+mzjauovFrL9Ro0alTRp0iRZsGBB+pma2ruzzz671n270N8tPw7o3Llz8utf/zpvOdtss01y3HHHJUlSdVxvvfXWSuPxiy66KOnRo0f698iRI5N27dolX3zxRfraVVddlbRs2TIdk9ZWT5dt50WLFuW9/swzz1QZi/bt26djgTPPPLPg/kPF7ZAkleuIadOmJRGRXHvttXlxaNq0abXlT5Kq952a5ia++uqrZK211kpuv/329DNbbLFFtX3R6hQao7J1LT9/lCS113GFxLa64zpJCmubVqaa+p/VjXUuvvji9DNLly5N1l9//eSSSy6p9jeq6l/UNtdWH2rqS1Sse5MkV5eXn+pt1apVcsMNN1S57Kq+nyS5/XqPPfaotWyFzEvUZRxaqEL7BhWtyJxTRcuWLUtatWqV/OMf/0iSZMXnQivGrr6Un5crLS1NIiJp1KhRctdddyVJUvWYrnxbP3bs2GSTTTZJvvnmm0rLvvvuu5PWrVvnjc/KW9E2IIuK85ARkXTq1CmZOXNmkiS5eq5Hjx5p36asHxIRyWabbZacc845ybBhw9L99OGHH04iIm/+67PPPkuKioqSHXfcMUmS3H4eEckFF1yQJMn/1Sl9+/ZNevbsmSxfvjydU9p///2Tnj17pn21Dh06pPG/6KKLkohI3nzzzfS3dt5557x5pEKsyH7dqVOnvDm/sjqwpuO1fF96jz32SM4///wkSZJk4MCBybhx4yrVPSsyp16xDa1uHFvbHGVNfZ0rrrgiSZLq5xMjIjn77LOTOXPmJBGRPPXUU+mY4vXXX0/7q2VjirK/y8e7e/fuSbNmzfKWvc8++yS77LJLkiSV65GVrawuvuKKK5KISN55553knXfeSZo2bZp8/PHHyfDhw5ORI0cmX3/9dVJUVJSceuqp6Xe7du2abLvttsn++++f/Pe//00aNWqUXHTRRUlpaWnStGnTpEmTJmm9/7e//S09B1IWn/333z/Zfvvtq1zvsvFa+fam7Ng54ogjCl6/im3Za6+9lmyyySbJ1ltvnb5fcY7ttddeq3Vu7t57701atmyZ9n0///zzpGnTpun4ckXGzvXZlxo5cmSy2WabJRGRfPrpp+m84+mnn56u80477ZT07NkzSZJcPVBcXJzW9xXb6P79+ycjRoxI29eqzheWP38REcl6662Xnr8oG6McdthhefHo3Llzcskll6RlKr9/HHTQQTXWV8uWLUuKioqS008/PW/dyx/vJ554YrLjjjtmms8p5Lza73//+6Rr167p3ysyb3jBBRckP/nJT/I+P2/evCQikrlz5yZJsmrnq8rWo/ycW8VzeIWUua7tf6HHStn4tcy2225br+c7y6/7D3/4w+Twww9PkiS/L11oW1ax3/zSSy8lRUVFyYIFC5JPP/00KSkpSS644IJ0nHDhhRcm2223XbVlq9hHrmlMuSbORUVEUlJSkmy66aZ58wtJUlj9XFaflO/D9enTJykqKkref//9vG240047Jb179672HOKQIUOSU089NWnfvn06F7vlllsmF110UdKxY8ckSZJkypQpSZMmTSqVtSpz5sxJWrduXeU569r6L1WpbbxVUVV9jNrmS88555ykc+fOefVg2bUS//jHP+plXriQa1BqW++azhMtWrQoKSkpSfeRJEmSTz75JGnWrFlB5xIqqum4KusPzZgxI1m+fHnSrl275KKLLkrL8re//S1Zb7310mUVcm694vUsV111VV4fo9C6uKZzSCtDWd0xc+bMtI9Z3eeqajMrqthe1EcbVN9Wl/mZFTnfV0i7V+g1FxXnFAoZgxY6hqvtnENV6jpXW8hx17dv36SkpKTa9jVJqp5/LeQag0LPtZdZkfnIup7LrjivUIiargury3V9K7o/1xSDuXPn5vV1kiRJx/h1iX0hyo6thQsXJqWlpcn48eOr/FzF+akkSZIlS5YkzZo1Sx5++OG8ZVVnRa/nKZuLKDNixIhaj6usaluX8qqa16qqfL17907GjBmT/n3OOefkXTOysuahC1HItcFl5bvnnnuSli1bJrfddlveZ6s7r1VRdftBXeYm6nI+vKpjvUWLFknTpk3z6rv6mAcs5DrfqvTv3z8pKSlJSkpK0n2/vBU5Z1rXc9Fl23fBggVJaWlptXNvValtm1alYr14ySWXpPM/SZKbx2/ZsmV63d2quD4uq+qurzv00ENX+DrJqo7NmrbFyuTJGQ3oxz/+cbz11lsxceLE2HvvveOVV16JHXbYIS644IL0M5999lncc889cdBBB6WvHXTQQZUeBVeTzTffPBo3bpz+3alTpzpnhr744osxZsyY9K4BLVu2TO+U8eWXX8acOXOiS5cu0blz5/Q7/fr1K2jZW2yxRXTr1i1GjRpV8CPTtthii/T/ZY8dLlunuXPnxhZbbJE+6iki8u5CFBExZ86cSo++qljeOXPmpE8OKLP99tvH66+/nneHp/JlKXus89ixY2PWrFnx7LPPpncAKX/Xzq233jpvucuWLYsLLrggevXqFe3atYuWLVvGww8/XOXdJQ4//PBYtGhR3HLLLdGo0ep1CA8cODBmzZqV/rviiisiIqJv376VPvvYY4/FTjvtFOutt156l5JPPvkkvbt5RETz5s3je9/7Xvp3+X13wYIF8cEHH1R7x/IXX3wxFi9eHO3bt8/bb99+++1V+siyvfbaKz744IO4//77Y8iQIfHkk0/GVlttlZclWnHf69evX96TM26//fbYfvvto2PHjtGyZcv41a9+VeudRzbffPO8/aOQ4/7zzz+P3XbbLXbdddc444wzIiKXufnmm2/GEUcckRfHCy+8MI3jrFmzok+fPnlPh6moW7du0apVqzqVJyKXuTtz5sy44YYbYpNNNsl7nPCLL76YPha97N/gwYNj+fLl8fbbb6efqy2+1enfv3988MEHadbrvHnz0m1X9tiwJ554ImbPnh3FxcVRUlISL7zwQixevDjefffd9C6eCxYsiK+++irWWWedWn8zIuKFF16Igw8+OP74xz+mddDs2bNj2bJl6aPfy/5NmjQpb38uKSnJq5Oq8vrrr8f+++8fG264YbRu3Tq9o1jFfar8cjp16pSuS0Sufqy4PmVP+Cj/nfKfr62NmDNnTvTu3Tvv7qfbb799LF++PO8OCjW1aYXE6aSTTooLL7wwtt9++xg1alS89NJL1caqLnVzRQ888EC0bNkymjZtGkOHDo0RI0bEoYceGsXFxXntT/v27aNHjx55+2Qh27FQc+fOrdQGVvx78eLFcfrpp0fPnj2jbdu20bJly5gzZ069PjkjIiJJkigqKiq4fi6k3igfp8aNG0f79u3Tu7tGRHpXivLfu/LKK6Nv376xzjrrRMuWLeMvf/lLpXXt1atXlXeYHTt2bIwfPz6mTJlS5Z0GV4aK+0Jdj62qFBKDNUVd1+Woo46KRx55JN5///2IyD3q8NBDD63yzpBZzJ07N5599tnYf//9IyKiuLg4RowYEddee23e58r3Cd96661YunRp3jHapk2b9HHfEYW3BzX1oeqqpvZgZdcfSR3uPlW+nC1atIjWrVsXvM61jXVqU1t/r+xYLX93wc022yzatm1bUJ+kEDVtp6pcd911MXjw4PSuT7vsskt8/vnn8fjjj9f6WxXHMhXNmjWryj56WZx++9vfxn/+858YO3Zs9O7du9KYq7ya1qs+27ia+ouFbr+uXbvm9Y9qau+qukNZRXXdbxYuXBgffPBBlWPYip8vH9eytrJi+1lx/+ndu3fenYL79esXixcvjnnz5lVZ/pkzZ8awYcNigw02iFatWqXj4kLrh2effTZmzZoVm2++eSxZsqTg/kPF7VCXdf76669j4cKFEVH4vlPT3ETTpk3j4IMPjuuuuy4icndff/nll+vt7vEVY1Sm4jFaWx1XSGyrO64jCm+bVoVCxzrlj/ni4uLYeuut846TQvoX9THXVpNC+xI1OfXUU+PII4+MQYMGxcUXX1zw9qiqnl+ReYnyCt02tSm0b5B1ziki4qOPPoqjjjoqveN469atY/HixWmZC+2LZ41dXZTNy02fPj1GjhwZhx12WOy1114FfXefffaJr776KjbccMM46qij4t57703vELbzzjtH165dY8MNN0yfzlpTHylrG1Co8vOQzz77bAwePDiGDh0a7777brz44ovxxhtvRKtWraJly5YxcuTItK7ccMMN48knn4wHHnggLdMTTzwREbk7VJfVY+utt14kSRKff/55+pvFxcVV3l3shz/8Yd6YYrPNNsubQy4/vuzQoUOUlpbGUUcdle6jTzzxRCxdurTGuGbdrz///POYP39+3pxEWR1YqMMPPzxuuOGGeOutt2LatGlx4IEHVvrMisypV2xDq1LIHGVVy27fvn1ERLodq5tPjIhYd911Y+7cuekThcvGFBtttFGV2720tDQv3gsWLMh70spHH30U8+bNi0ceeaTKemRVadWqVTRp0iRuuOGGuP7662Pw4MFx8cUXx8SJE+OWW26JtdZaK5IkiT/84Q9pTN57772YMWNGvPnmm9G2bdvo3bt3FBcXx8CBA+Prr7+Oiy66KObMmROLFy+OSZMm5d0h/KOPPooJEybEnDlzqlzvsu218847p99p27ZtFBcXx2uvvVandfv888+jZcuW0bx58+jRo0d06NAhbr755vT9inNsc+bMqXVubpdddokmTZqkTzG4++67o3Xr1jFo0KAay1LT2KW++1L/+te/IiKiY8eO6bzj6NGjIyJXD5SfX+3UqVNan6+oiu1b796903iVjRHK3/0+IqJPnz7pZ0pLS/PeK3vSVdnx89FHH8W9994bH330UbRp0yZatWoVSZLEuHHjqj3eDz300Jg1a1b06NEjTjrppHjkkUcyrWNd1HXe8MUXX4wnnngib13K5tLL1mdVzVdVp+I5vELKXFGh7X9t5x1qO3dbny655JK48cYbK42ZC23LKrah3//+96Ndu3YxadKkmDx5cvTp0yd22223mDRpUkRE+jSiMrX1kWsaU66Jc1EREbvttlu89tpr8ec//znv9ULq54hcvV7+XOSIESMiSZLYaKONYr/99ouISOvQ9957L23zS0tLo3HjxrHDDjvE8uXL49FHH4158+bFj3/843jyySfjs88+i1dffTWOO+64WLJkSfzrX/+KSZMmxTbbbFPjU5Micm3RHnvsEf3798+7xiOi8P5LXccMtY1VytQ0XzpnzpzYcMMN8z5f8Xhb2fPChax3TeeJ3nzzzfjmm2/y9pt27drlzafXRU3HVVl/6Mknn4zZs2dHSUlJHH300el54UmTJqX1XiHbvexJ2uWvZ6kY/0Lr4prOIa1MvXv3jp122il69eoV++yzT4wfP77S0+aqajNray9WpA1amVa3+ZmK6nKOrLp2r9BrLqpS0xi0LmO42ta1PuZqCznuLrjggmjUqFF07tw5ioqK4h//+Eela3sKKe+KqK/5yJrOZRcyr1CI6q4Lq6iu4/6sMSjrT5Tv22666abp+GNlmDNnTixZsqTG69bKz0+1bNky2rVrF19//XW1dUF9Xc+zKvvVhVjR/e/AAw9Mn26ZJEnceuutVc5Hlamveej6NH369Nhnn33ir3/9a5VPsqvqvNaKrkdN+0Vdz4dXPNZnzZqV96TgiPqZByzkOt/q/OhHP4qWLVvGueeemzf3saLnTFfkXHRExDrrrBO77rprOve26667Vnry0ops09rqxUMPPTTeeOONeOaZZyIiN5ew7777pvNCq+r6uKyqur5u7733rrfrJBtScUMX4LuqdevWeSduynz22WfRpk2b9O8mTZrEDjvsEDvssEOcddZZceGFF8aYMWPirLPOipKSkrjlllvi66+/zms0kySJ5cuXV3kRRMXll/1GeUVFRXV+XNPixYvj/PPPj5/+9KeV3itfOa6I9dZbL+66664YOHBgDBkyJCZMmJA3yK5KfaxTfalYloiILl26xEYbbRQRuUHO3XffHXfffXf88pe/jIjImxyPiLjsssti3Lhxcfnll0evXr2iRYsWccopp1R6jNmFF14YDz/8cDz77LO1xqghtGjRIl3viq+X984778Ruu+0Wxx57bPz617+Odu3axZQpU+KII45IH7sdUfV2LjsRX5YIU53FixdHp06d8h4hXGZldr6r0rRp09h5551j5513jnPPPTeOPPLIGDVqVEEX5ZSd6Dz//PNj8ODB0aZNm7jtttti7NixNX6vSZMmsfHGG0dRUVH861//qvUYWbZsWYwYMSJat24df/nLX9LXyxKmxo8fX6nzXjboqW1blJWnvEKP2e7du0fbtm2jR48esWDBghgxYkQ89dRTadl+9rOfxUknnVTpextssEGty46INIGl/AUe5R+R3LRp03Rwfe+998aYMWPSbdeyZct45513YtKkSdGjR4+YO3du9OzZM6ZMmRLvvvtuetK2kPiU+fDDD2P33XePI488Mo444oj09cWLF0fjxo1j5syZeYPNiMg7OdysWbNaT9gMGzYsunbtGuPHj4/OnTvH8uXL4/vf/36l+qb8NitbZk3brGKy2Mqql2valwqJ05FHHhmDBw+OBx98MB555JG46KKLYuzYsXHiiSdW+q1C6+aqDBw4MK666qooKSmJzp07R3Fxcd6j6WtSyHaMqH3/LdTpp58ejz76aPz2t7+NjTbaKJo1axZ77713QetZF3PmzInu3bsXXD8XUm9U9Zma9t3bbrstTj/99Bg7dmz069cvWrVqFZdddllMnz49bzkV260yO+ywQzz44INxxx13VHrE98pS332eQmOwJliRdenTp0/07t07brrppvjJT34Sr7zySjz44IP1XrZrr702vv3227yL9ZIkidLS0vjjH/+YvlbdvladQtuDmvpQdVXTMbWy64/yfZm6lLOsrIUeK/Ux1snS34vI1ekVt1Fd6vS6tNvLli2LG2+8MT788MMoLi7Oe/26666rdhK5TG37bU19n2XLlsWoUaNi8ODBcc0118S4ceNi8uTJ1U7I17U/UtGqauMiKselpvYuSZK4+eabC9q3V4aq4lrxtSxtzRdffBGDBw+OwYMHx8033xzrrLNOvPfeezF48OBKsd9oo42iqKio0uPMyy4QKNufCu0/VLd/FrLOEXWv32qre4488sjYcsst49///ndcf/31seOOO0bXrl2rLGN1Co1Rmar2xZrquEJiW9NxXWjbtCoUOtapSaH9i5U9L1VbX6KQdmP06NFxwAEHxIMPPhgTJkyIUaNGxW233RZ77rlnjb9dcR9a0XmJ8upj20QU1jeojzmniIiRI0fGJ598EuPGjYuuXbtGaWlp9OvXr05lro/Y1UX5ebnrrrsuevfuHddee20cccQRte4zXbp0iblz58Zjjz0Wjz76aBx33HFx2WWXxaRJk6JVq1bx/PPPx5NPPhmPPPJInHfeeTF69OiYMWNGpTm2urQB9bm+ERHXXHNNtGnTJsaPHx+LFy+Ovn375l2kXWadddaJNm3axCabbJLuS1999VVEREyYMCHvuBs+fHjeSf3yY/WqbppTSP/tk08+iSVLlsQWW2yR7qNnnHFG3H///Xn7aHn1tV9nNXTo0Dj66KPjiCOOiGHDhqWJDyuirvVoIXOUVS27bB9599130+VUNZ+48cYbx/rrr1+nMlX83YioVI+8//770b59+5g4ceIK1SP1paSkJL2gqGfPnnHvvfdGz549o1OnTnHwwQfHPvvsE7vvvntcfPHFERExYMCAGDlyZBxzzDHp3xMnToyZM2dGUVFRfPDBB+k86KRJk2K33XaLiRMnpuv9zTffxPDhw+OXv/xltetdfixSpq77a1n91KhRo+jUqVOlPkuhc2zllZSUxN577x233HJL7LfffnHLLbfEiBEjqixveTX1Leu7L/X9738/Xnrppbj11ltj9913zytbkyZNYs6cObHZZpvllaUmbdu2LXjsHVH7vl9RcXFxXjJxxTKNHDkyvfDv6aefjkWLFkW/fv1ixIgRMWrUqCp/e6uttoq33347JkyYEI899ljsu+++MWjQoLjrrrsKWoeqFDour+u84eLFi2PYsGFxySWXVPpO2YUfq2q+qjpVjSFqK3N5dWn/s47z69OPf/zjGDx4cJxzzjkrlERfMW5FRUXpxf6lpaUxYMCA2GKLLWLJkiXx8ssvx9NPPx2nn356+vlC+sg1jSnXpLmoMgcffHDsvvvucfjhh0eSJHHqqacW/HsRlevTsguatttuu9hrr73iuOOOS2+WOHTo0DjooIOipKQkrr322vjVr34Vm2yySTRv3jzGjh0b33zzTey4447xl7/8JU2mad26dboNy19sX53ly5fHAQccEI0aNYqbb765Uv1WSP9lRcYMhY5Vso5bV+a8cKHrvaqvCanpuBowYEB6fPfv3z/atWuX1x867bTTIqJu/daaFFoXN9R1M40bN45HH300nn766XjkkUfiD3/4Q/zyl7+M6dOnR/fu3SOicj1ZSHtR1zZoZVud5mcqqus5suravSzXXNQ0Bq3LsVDbutbXXG1thg4dGu+9917885//jEcffTTuvvvu6NmzZ6X2ta7n9mpTn/OR1fVJC51XKER114VVVJftsbrMydZVIdet1TQ/VZWVdT1PQ8qy/+2///5x1llnxfPPPx9fffVVzJs3r8oEhzL1NQ9diEKvDf7e974X7du3j+uuuy523XXXSvtxVXXKiq5HTftFXc+HV3WsF3LzudrKVVa2+thfe/XqFWPHjo1BgwbFiBEj4vbbb691/qamsmU5lg4//PA44YQTIiKXVFFRXbdpIfXiuuuuG8OGDYvrr78+unfvHhMmTMg717eqro/Lqqrr626//fYVvk4y61i3PknOWEl69OhR5Z1ann/++dhkk02q/d5mm20W3377bXz99dfpZMFpp51WaSJlyJAhMXny5DovvxBNmjTJy16LyE10zp07t9oOVs+ePWPevHkxf/78dFBUlpVViK5du8akSZPSBI2HHnpohZMPevToEX/7299iyZIl6R15ZsyYUam8FS+SrVjenj17xtSpU/Nemzp1amyyySZ1GjiXVQDl75pV0dSpU2P48OHpE1KWL18er732WjqBHpG7Q9OYMWNiwoQJednna6KZM2fG8uXLY+zYsemJzDvuuKNOy2jVqlV069YtJk6cGAMHDqz0/lZbbZVecFY2Obe62GyzzeK+++5L/37mmWfikEMOyfu7T58+EZE7GdG1a9c0sSfi/04m1qZdu3YxePDguPLKK2P48OGV3v/ss8/Sk+g///nPY/bs2fHcc8/ldbo6dOgQnTt3jrfeeqva7OMtttgirrnmmvj0009rfHpGVscff3xcdNFFce+998aee+4ZW221Vbz66qu1DvwqHtvPPPNM9OzZMyL+b8Azf/78NObln3JT8Xtl2+6///1vfP755/HFF1/ExIkTY9NNN425c+fGgAED4tZbb41PPvkkvYtHq1atokWLFvHxxx+nyyopKalUz3799dcxfPjw2HTTTeN3v/td3nt9+vSJZcuWxYIFC2KHHXaoJVLV++STT2Lu3Lkxfvz4dDlTpkyp83J69uwZTz31VN6FZR9++GGNn6+tjejZs2fccMMN8cUXX6SDj6lTp0ajRo0KvstNoXHq0qVLHHPMMXHMMcfEOeecE+PHj6+y81lI3VydqgYqPXv2jG+//TamT58e2223XUT83zapbZlV7TPl99+11lorIirvvz169KjUBlb8e+rUqXHooYemk4CLFy+Od955p9Z1rIvHH388Zs+eHT//+c9j/fXXb7D6eerUqbHddtvFcccdl75Wlzvt/OAHP4gTTjghhgwZEsXFxXkn0xrCivS/ssagoVR1DKzouhx55JFx+eWXx/vvvx+DBg3Ku4Ncffj222/jpptuirFjx8ZPfvKTvPf22GOPuPXWWys9bSgid5FtkyZNYsaMGemE9+effx6vvfZa/PjHP46I+msPqorniljZ9Uf5vsxJJ51UaXKqfF8mi9rGOiuifH+v7FidN29eur+9+uqr8dlnn6X1/zrrrBMvv/xy3jJmzZqVNyFUX9vtn//8ZyxatCheeOGFvHHNyy+/HIcddljmuG6xxRYxceLEOOywwyq9969//Ss++eSTuPjii6NLly4xY8aMePjhh1fod+qzjaupv1jI9qtKbeOR2vbtuv5u69ato3PnzjF16tS8iwemTp1a8B1mavLiiy/GV199lZ5seOaZZ6Jly5ZV1qEVt3NExHPPPVflctu3bx8777xz/PGPf4wTTzyx2hNbq3p8V1/1W69evWLrrbeO8ePHxy233JKXoFeoQmNUndrquEJiW9NxXV9tU1Z1Ges888wzadv67bffxsyZM9NJ89Whr1RIX6Jr166xaNGivPFTVWPZTTbZJDbZZJP4+c9/Hvvvv39cf/31seeee9apTckyLxFRf+PQiML6BvUx5xSR2xf+9Kc/xS677BIRuadp/uc//0nfL6QvnjV2WTRq1Ch+8YtfxKmnnhoHHHBArLPOOnlPYl64cGGlO2A2a9Yshg0bFsOGDYvjjz8+Nt1005g9e3ZstdVWUVxcHIMGDYpBgwbFqFGjom3btvH4449XOplXlzagvhUVFUWjRo3iq6++iq222ipuv/32WHfddaN169ZVfr5Nmzbp9hg4cGCMGzcuXnnllbR++Pzzz+Pdd9/Nu7t/eWVj8m+++SY9KVZ2HM6ZMyc23njjKueQy9qT8vvookWLaly3+tiv27RpE506dYrp06dXqgO32mqrgpZRXFwchxxySFx66aUxYcKEKj9TH3PqZXfXLV9PFTJHWZWy+ZL77rsvLr/88krzieX7vk2aNIkePXrEt99+Gy+88EK6jDfeeKOgJ36vv/76ecmUU6dOjc022yzWWWed2HzzzSvVI6tScXFxfPPNN1FUVBTz5s2LQw89NGbOnBlt27ZN7yK4aNGiNC7FxcWxzjrrpMdx//7948orr4ySkpI48cQT44orrojdd989br311njttddiyy23TH9r6tSp0bdv33jvvfeqXO+ycxvlEwGWLl0ay5Yty7vorRCNGjWq0ziu0Lm5Aw88MHbeeed45ZVX4vHHH4//196dh1VV7f8DfzMdOEyiIGKGogKOCdcBh1KB9KumNyivOKBiIg5XDMocvmXgrKmVmjZogKLigEp6zaGvAs7XIUNFmVLRHMghRC0VkM/vD5+zfxzOAQ6DYfZ+Pc95Hjl7u89ae6+95rX37NmzKxSukqq7LtWwYUNcvXoV69at08mHCwsLkZWVpfP09rJYWFgo5au++3T//v1a4xcZGRk6i/pL1pdSUlL0TvDT5/DhwwgODsaSJUuUNAM8vTZlXV9bW1sMHDhQeaJi7969qzRGUbduXeTk5Chv/9XEw1Cl9Ru2bdsWW7ZsgYuLS5mTRJ51f1VFGBpmjeoq/1u0aIFjx47pjJc9S/Pnz4enp6fWGERVyrLu3btj5cqVMDc3x5w5c2BsbIxu3bph4cKFePz4sZLnGlpHrkib8nnuiyouKCgIxsbGeOedd1BUVKQ8Cb0yYyeacb2kpCRlQa0m3/Dy8sL58+ehVqvx9ttvKxPni4qKMG7cOLRs2RLdu3dHeHg44uPjlbeaeHt7Y+/evTh8+LDyf0ozbdo0HDlypNSHKhpSf6lMm6G8toohWrRogdWrV2t9V5H7rar9JtXRVmratCnMzMxw7NgxpT89NzcXmZmZ5S6sMVTx+6p79+6Ijo6GqakpevfuDQDKuHBmZqaShgy57i1atMCaNWvw6NEjZVy+5PmvaF5cE4yMjPDqq6/i1VdfRUREBBo1aoSEhIRSF14ZUl48T/F+3vpnSqpMH5a+cs+QOReVCWdl23D6VEdfrSH3HfC0fAwKCkJQUBC6du2KsLCwZ/4AmursjyytTlpd/WXPSnWcg+bNmyv9HB06dADwtO1y9+7d6gyqFjc3N6jVauzbtw+jRo3S2W5I/1Rx1Tmfp+TClmddry6LIemvtHzm5ZdfRvfu3bFu3To8fPgQPXv2hKOjo97fqc5+aEMYOjfYwcEBW7duhbe3NwICArBp0ya9DwLXeFbxeBbj4dXRD2jIPN+yeHp6Yt++fejRowcCAgKwcePGahszNWQsWqN3795K35vmLb0albmmhuaLo0aNwuDBg/Hyyy+jadOmOm8L+TPmx1WVvvl1VRl7LDkW8uTJE6SmpuqdX/ys6T7eiarFuHHjkJmZiXfffRdnzpxBRkYGPvvsM6xfv15pyHt7e+Obb77Bjz/+iOzsbOzcuRMffvghfHx8YGtri5SUFJw6dQqjRo1C69attT5jxozBrVu3EBoaWurxK0sz4T0nJ0d59WBERARiY2MxY8YMnDt3DmlpadiwYQOmTZsGAOjRowfc3d0RFBSE06dP4+DBg1qNaUM4OzsjOTkZN2/eRK9evXDv3r1KhX/IkCEoKirC6NGjkZaWhj179mDRokUA/v9CibFjxyIrKwuTJk1CRkYG4uLidF5FN3HiROzbtw+zZs1CZmYmVq9ejWXLlhk0ETM3Nxc5OTlIS0tTnuxTVieAm5ub8mSBtLQ0jBkzBr/++quyPTU1FcOHD8eUKVPQqlUr5OTkICcnB7/99ltFT89zwdXVFQUFBfjiiy9w8eJFrFmzBl9//XWFjzN9+nR8+umnWLp0KbKysnDq1Cl88cUXAJ6myc6dO8Pf3x8//PADsrOzceTIEXz00Ud/2qDwnTt34Ovri7Vr1+LMmTO4dOkS4uPjsWDBAq3FEvHx8YiOjkZmZiYiIyNx/PhxZWKIm5sbrly5gg0bNuDChQtYunQpEhISDA7D8uXL8eTJE2zYsAG3bt1CVlYW0tLSsHTpUuW1dTExMfjyyy/x9ddfw8jISElfmkHHGTNmYN68eVi6dCkyMzNx9uxZxMTEKAsIBg8eDCcnJ/j7++Pw4cO4ePEitmzZgqNHj1bXqQTw9LWYISEhiIyMhIhgypQpOHLkCEJDQ5GSkoKsrCxs27ZNOXcahw8fxoIFC5CZmYnly5cjPj4eYWFhAJ5OPOjUqRPmz5+PtLQ07N+/X8nX3n//faxdu1ap3EycOBGzZ89Gt27dMGLECDg6OuLRo0fYsWOHMsnW29sb69atU16TrOHp6Ymff/5ZSavW1tbYvn07srOzcfv2bRQVFWHMmDH45ZdfsHTpUty6dUu5Dvn5+XB3d0dgYCCGDx+OrVu34tKlSzh+/DjmzZtXoSdo1a5dG/b29lixYgV+/vlnJCYmVvjJRMDTV59du3YNP//8M7KysnDt2rUyO0AMKSMCAwNhYWGBoKAgpKamIikpCRMmTMCwYcNQr149g8JlyHkKDw/Hnj17cOnSJZw6dQpJSUnK5MuSysubK8rNzQ1+fn4ICQnBoUOHcPr0aQwdOhQNGjTQu4CqOBcXF6W8v337NgoKCuDq6gpnZ2dMnz4dWVlZ+P7773WeKjRhwgTs3LkTn332GbKysvDNN99g165dWiuH3dzcsHXrVqSkpOD06dNKOVpZjx8/Rk5ODq5du4ZTp05h7ty58PPzQ79+/TB8+PAazZ/d3Nxw8uRJ7NmzB5mZmfj4448r1LADnj6Fa+fOnZgxYwYWL178bAJqoMrUv6rjHNQEFxcXHDt2TCvfrGxchgwZgqtXr2LlypUYOXJktYd1x44dyM3NRXBwsE4dvn///qW+7trGxgZBQUGYNGkSkpKScO7cOeUpx5p7trrKA315SmVUd/6hj6Yu4+XlhS1btuity1RVeW2dshhS3+vRowdeeeUVBAYG4tSpUzh+/DiGDx+O7t27K2/o8vX1xcmTJxEbG4usrCxERkbqDJDruw8qIyoqCn379oWHh4dW+gwICICdnZ3eJ/hURGRkJNavX4/IyEikpaXh7NmziIiIgK+vL44dOwZTU1PMmjULy5YtU14TXhnVWcaVVV805PrpU155V17arszvTpo0CZ988gk2btyIjIwMTJ06FSkpKUpcqiI/Px/BwcE4f/48du7cicjISISGhuq9fg0bNoRKpVLae9u3by9zctiXX36JwsJCtG/fHhs3bkRaWhoyMjKwdu1apKenw8TE5E+vP1Rn/jZq1CjMnz8fIlLuE/FKY8g5Ko0h/TnlnVt997XmCYbVVTZVVUXaOsuXL0dCQgLS09Mxfvx45ObmKnWC56GuZEhdomPHjrC0tMSHH36ICxcu6PRrPXz4EKGhoUhOTsbly5dx+PBhnDhxQmn7uLi44MGDB9i3bx9u375d5uvjq9ovUV3tUI3y8s/q6nNyc3PDmjVrkJaWhmPHjiEwMFDraXiG1MWreu6qasCAATAxMcHy5cvh6+uLNWvW4ODBgzh79iyCgoK08o5Vq1YhKioKqampuHjxItauXQu1Wo1GjRphx44dWLp0KVJSUnD58mXExsaiqKhI74MUKloGVIWm7anpg50wYYLylNXAwEA4ODjAz88PO3bsQJcuXfDRRx9hyJAhOHLkCOLj45GamgonJycAwJtvvol69eohPDwcCxYswA8//AB/f38UFBSU+oYvTZ/SlStXkJ2djYCAAKVffuvWraWWv5oB5OJptLyyrLrSdVhYGObPn4/vvvsO6enp+Pe//13hSQqzZs3CrVu3dAYZNarSp67h6OgItVqN3bt349dff1WeQlheH2VZioqK4OXlhXbt2uHQoUMYMmQIJk+ejHbt2mHbtm3Kfs2bN0ePHj0wevRoPHnyBJcvX8bo0aOVBSNl0ZTzX331FbKyslCrVi0cP34cAwYM0JuP/NnS0tJw/vx5pZ6Tl5eH3377DWPGjIFKpcKBAwewevVqXLhwAfn5+crfwNOHyuTn5+Phw4cYN24cJk2ahP3792PdunWoX7++1iRyNzc3FBUV4fjx4+jfvz/8/f1hYWGBw4cP4/bt28qktVWrVmH37t04f/48QkJCAEBZOPSsGNo3161bNzg5OSEwMBCNGzfWedJvRVV3XcrExATffPMNtm3bhtGjR+PMmTPIzs7GgQMH8Mcff+Bf//oXAgICKhRGTfl648YNnD59WilfAWD16tXK+AXwdMFSyT74xMREJCQk4MqVKwCeLnAztM/Fzc1NebKj5l4xMzPD3r17S73fNeOh6enpyMzMRHx8PJycnKr0oAFvb2/cunULCxYswIULF7B8+fJSF6KVRl+/4fjx4/Hbb79h8ODBOHHiBC5cuIA9e/bgnXfe0Zp89Kz7qyrC0DBrVFf5HxYWhujoaMTExCjjZefOnauOKJVK0+5eunSp8l1VyjJvb2+cP38e586dw2uvvaZ8t27dOrRv317JAytSRy7Zpvwr9kWVNGzYMKxevRpTp07FwoULKz12oslD1Wq1cs9p8tDOnTvjyJEj+OWXX/D9999j48aNWLZsGV555RVlnKdNmzaoXbs24uLitBZnfPfdd1qLafTZtGkT5s+fj8WLF8PGxkapl1Z0jLUybYby2iqGGDt2LH799Vc8evSo1LkS5YWhKv0m1dFWsra2RnBwMCZNmoTExESkpqZixIgRleprNOS+6tatG+7fv48dO3ZopRdNfaj4JMzyrvuQIUNgZGSEkJAQpa9NM59Fo6J58Z/t2LFjmDt3Lk6ePIkrV65g69atuHXrVqljroBh5cXzFO/nrX+mpMr0Yekr9wyZc+Hi4oIDBw7g2rVrFVoMVpU2XMm4VrWvtrz77s6dO2jcuDHee+897NixA3v27MGKFStQVFRU7ji+oa5du4aUlBStT25ubrX3R+qrk1ZXv8KzUh3noFmzZujduzfGjBmDY8eO4ccff8SoUaOeaTvcwsICU6ZMweTJkxEbG4sLFy7gv//9rzIWXLx/6uDBg7h06RKSk5Px7rvv6n0DQXXO59m9ezcWLVqErKwsLFu2DLt3765yfA2Rl5enk84dHBzKTX9l5YeBgYHYsGED4uPjy1zsVd390OUxZG6whqOjIxITE5Geno7BgwejsLDwT49HVcbDS1Md/YCGzPMtj4eHBxITE3Ho0CEEBASgoKCgWsZMDRmL1jAxMVH63kqO2VXmmhqaL/bq1Qu2traYPXu2zkNBanJ+XFVVZezR19cX33//Pb7//nukp6dj3Lhxz3ShXpmEnpnjx49Lz549pW7dulKrVi3p2LGjJCQkKNvnzp0rnTt3ljp16oiFhYU0adJE3n33Xbl9+7aIiISGhkrLli31HvvGjRtiZGQknp6epR5fRCQoKEj8/Py0vgsLC5Pu3bsrfzdq1Eg+//xz5e/t27eLq6urmJqaSqNGjZTvd+/eLV26dBG1Wi22trbi5eUlK1asULZnZGTIa6+9JiqVStzd3WX37t0CQCdM5YXv6tWr4ubmJp06dZK8vDzp3r27hIWFlRpeEREPDw+JjIxU/j58+LC0adNGVCqVtGvXTuLi4gSApKenK/v85z//EVdXVzE3N5euXbtKdHS0AJDc3Fxln82bN0vLli3FzMxMGjZsKAsXLtT63ZJhCQoKEgDKx8bGRtq0aSMA5KeffpJLly4p/y7uzp074ufnJ9bW1uLo6CjTpk2T4cOHK+cmJiZG67iaj+Y6xsTESK1atZTjRUZGioeHR6nn/VnQdy1FROf6aXz22WdSv359UavV0qtXL4mNjdU6/yXjJCKSkJAgJbOtr7/+Wpo1ayZmZmZSv359mTBhgrLt3r17MmHCBHnppZfEzMxMnJ2dJTAwUK5cuVLV6Brk0aNHMnXqVGnbtq3UqlVLLC0tpVmzZjJt2jT5448/REQEgCxfvlx69uwp5ubm4uLiIhs3btQ6zqRJk8Te3l6sra1l4MCB8vnnn5d5vUtei+vXr0ubNm3E3NxcVCqVNGjQQN58801JSkpS9teXvorfU+vWrRNPT09RqVRSu3Zt6datm2zdulXZnp2dLf379xdbW1uxtLSU9u3by7Fjx/SGT0Tk888/18pfSkpKStK5H0VErly5Iqampso50uSz1tbWYmVlJW3atJE5c+Yo+zdq1EhmzJghAwYMEEtLS3FycpIlS5ZoHfP8+fPSuXNnUavV4unpKT/88IMAkCFDhkjbtm3FyspKAEiDBg3EwcFBzMzMxMvLS06fPi0eHh7i5OSkpNc7d+6IkZGRtG7dWueaeHh4KGm1bt264uTkJGq1WgDIpUuXpFGjRnqvg+Y65efnS0REhLi4uCjp/a233pIzZ86IiP57RvPbxdPD//3f/0mLFi3E3Nxc2rRpI8nJyVp5tb58Kjc3VyssIiJdunQRCwsLUavVYm9vL127dtX6fT8/PwkKClL+NqSMOHPmjPj4+IiFhYXUqVNHQkJC5P79+6XGRUS3TCvvPIWGhkrTpk3F3Nxc6tatK8OGDVPK3ZLprry8uTSl5YciIr/99psMGzZMatWqpeR/mZmZyvbSruPNmzeVtF78Whw6dEheeeUVsbCwkK5du0p8fLySpjRWrFghDRo0ELVaLf7+/jJ79mxxcnJStl+6dEl8fHxErVaLs7OzLFu2zKCyt7S4a9Kuqamp1K1bV3r06CHR0dHy5MkTZb/y8mdD8g195Yu+cBZPZ48ePZIRI0ZIrVq1xM7OTsaNGydTp04tMw8t7dj79+8XKysrWbp0abnnpSKK/76+OFb03ip5TxtyDp4Xxc9FRkaGdOrUSSvfrMr1HDZsmNSpU0cePXpU7eHu16+fvPHGG3q3HTt2TADIkiVL9JZz9+7dkyFDhihl1meffSZeXl4ydepUZZ/KlAcl61D68pSSaUVfWfzTTz9p5TGG5B/V4fr16zJ+/Hhp1KiR3rqMvjZHrVq1JCYmRm9c9J2j8to6pTGkvicicvnyZXnzzTfFyspKbGxsZMCAAZKTk6N1rIiICKlXr57UqlVL3nvvPQkNDdUq4/TdB4Zcp+JycnLE1NRUNm3apDc+48aNk3/84x8iotvGKq0to+98btmyRak7Ojg4iJ+fn3KeLC0txcjISIyMjKRBgwZK2VWZ+kh1lXHl1RfLu36ltb/KK+/KS9sV/d0nT57I9OnTpUGDBmJmZiYeHh6ya9euMq+hvjRU8ppq8tKIiAilXRISEqKVh5Y8r3FxceLi4iLm5ubSuXNn2b59u970o3H9+nUJDQ2Vxo0bi5mZmVhbW4uXl5csXLhQfv/9d4POZ2nXoWQeYch5qGz9qOR9IyJy//59sbS0lH//+996424oQ85RaX0w5eVxhrSdS97Xb7/9trKtvLLpWRo2bJj0799fRAxv68TFxYmXl5eoVCpp2bKlJCYmKserbP2iZLukKgypS5w+fVoSEhLE1dVV1Gq19OvXT1asWKGU948fP5ZBgwaJs7OzqFQqeemllyQ0NFQePnyoHGvs2LFib2+v1f4vrd5f1X6J8q5NRZWXf1ZHn9OpU6ekffv2YmFhIW5ubhIfH69zfgxp55Z37qpLafXeefPmSd26deXu3bsycOBAsbW1FWdnZ1m1apVWnpWQkCAdO3YUW1tbsbKykk6dOsnevXtFROTgwYPSvXt3qV27tqjVamnTpo1W31VVy4DKxrdkH2yHDh1k8+bNyj43btyQ4cOHi729vZiYmIhKpRKVSqXU19q0aSP9+vVT9r927Zq4u7uLkZGRABA7Ozuxt7dX8u/IyEgxMzPTSgPnz58XW1tbMTExEXt7e7G0tBQAEhgYKEVFRUr54uzsrPy/mJgYsbCw0Eqj/v7+etsHxVVHui4oKJCwsDCxtbUVOzs7ef/998vt5yitj6603xCpeJ+6iG4ZunLlSnF2dhZjY2Ot/LWsPsqy6pCbN29W8g0zMzMxNzcXExMTsbCwUPrvNffu9evXpU+fPgJA7O3tJS4uTuzs7LTOAwCxtLTUey6aNGmixL1x48Zl5iPPkiZfKJk2NPUcExMTsbKyUuo53bp1U/oujY2NpVmzZrJ//365efOm1KtXT+rXr6/UtfPz88XDw0MAyKBBg7TSiSb/VKlUYmFhIaampmJkZCTNmjXTOn9vvPGGODg4iLm5ubz66qtibW2ttOFEnqaTkvWq4krrQytve3l9cxqTJ08WABIREaH1fWXaziLVV5cqnt8fOHBAevXqJba2tkp5b2FhIYWFhcr+mnSpOZcly4viefj169fFxsZGateurZSvACQsLEwZvwAgH3zwgc75GDNmjHh5eYmZmZkAkO3btyvXQdO/rjlHEyZM0ClzmzZtKgC07pWhQ4eWer+vWLFCPD09xcrKSmxtbeX111+XU6dO6ZyvsuhLI1999ZU4OzuLlZWVDB8+XObMmaPVH1nZfsPMzEx56623xM7OTtRqtTRv3lzCw8OlqKhI6zjPsr+quPL6Hw0Jc0XLf0PvlTlz5oiDg4NYW1tLUFCQTJ48uVr7LfVdw0uXLolKpdJKl5Upy0Setstr164tHTt2VL7TxLN4/56I4XXkkm3Kv1pflIa+uMXFxYmJiYnMnz/f4LGTktcwPz9f3n33XaVeWDwPPX78uHh7e4uJiYkyZuHt7a1V//Hz8xNTU1NlLEpzDTt16lRqXEREvL299Y7pVWaMtaLtLUPaKuX1l4o8bccaGxvrzJX4z3/+Uy39wuWFqaLxFtEdJ7p//74MHTpULC0tpV69erJgwYJK9U8bel9pxoU1NOPCgwYN0jlmedf96NGj4uHhISqVSjw9PWXLli06ddmK5sUiumNI1U1zD54/f1569eoldevWFXNzc3F3d5cvvvhCZ7+SDGkvVibez8Lz1j9TmfE+Q8u98uZcHD16VJlvovl/hs7nqWgbTt+xq6uvtqz77tGjR9K1a1exsLBQ8nJra2sJDQ3Vygf05a/ltZs14dNXXqxZs6ba+iPLq5OW169gCEPnhZV3PaorPZc8Bzdu3JC+ffuKubm5NGzYUGJjY59JO7x4WJ48eSKzZ89W+hsaNmwoc+fO1QrT8OHDlfZvkyZNJCQkRPLy8vTGq7rm80RFRcnLL78sarVa/vnPf8qiRYueSZ9kcaXNPQsODjYo/enLDzXxMzc3F0tLS635Q5rffJb90OUpb26wvvl77u7uEhAQIIWFhaWOa1U0HRhaRzd0PLy0e13f71RHP6Ah83xL0lcfOHv2rDg6Ooqfn588fvy4wmOmFR2LLmtumIh2vayi17Qi83o+/vhjMTExkevXr2t9/2fMj6uqss5hZedJ5ufny7hx46ROnTri6Ogo8+bNe+Z15NIYiYiA6AW3bt06vPPOO8jLy6vRp1MRlWRkZISEhAT4+/vXdFBeSC4uLggPD0d4eHhNB4XouRESEoL09HQcPHiwpoNCVGNef/11tGrVSuvpQM+j33//HQ0aNMCnn36K4ODgmg4O0XOvMmUc64v0rGVnZ6Np06Y4ceIE2rZtW9PBeeH07t0brq6uWLZsWbn7Zmdno3Hjxvjpp5/g6en57ANHRH9prIuTxtWrV+Hs7Iy9e/fi9ddfr+ng/C388ccfsLe3x65du5QnU1PNKG/8gvWr6vVX6a+iPxfblERERERE9HfyPM/zfR7nWwUHB+PWrVvYvn17TQeFSjCt6QAQPQuxsbFo0qQJGjRogNOnT2PKlCkICAh47jJsIiKiZ23RokXo2bMnrKyssGvXLqxevRpffvllTQeLqEbk5uYiOTkZycnJz+V98NNPPyE9PR1eXl7Iy8vDzJkzAaDaXplM9KJhGUfPs4KCAty5cwfTpk1Dp06dOImmmuXm5uLw4cNITk7G2LFjazo4RPQCYF2cNBITE/HgwQO88soruHHjBiZPngwXFxd069atpoP2t5GUlARfX18uzKC/jee9v4pqBtuURERERET0d/A8z/N9nsei8/LycPbsWcTFxXFhxnOKizPohZSTk4OIiAjk5OSgfv36GDBgAObMmVPTwSIiIvrTHT9+HAsWLMD9+/fRpEkTLF26FKNGjarpYBHViH/84x/Izc3FJ598gmbNmtV0cPRatGgRMjIyoFKp0K5dOxw8eBAODg41HSyi5xLLOHqeHT58GD4+PnB3d8fmzZtrOjgvnJEjR+LEiROYOHEiJ04TUbVhXZyAp5NhP/zwQ1y8eBE2Njbo0qUL1q1bBzMzs5oO2t9G37590bdv35oOBtGf5q/QX0V/PrYpiYiIiIjo7+B5nuf7PI9F+/n54fjx4xg7dix69uxZ08EhPYxERGo6EERERERERERERERERERERERERERERERERH9VxjUdACIiIiIiIiIiIiIiIiIiIiIiIiIiIiIior8yLs4gIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKqAi7OICIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiqgIuziAiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIqoCLs4gIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKqAi7OICIiIiIiIiIiIiJ6QYwYMQJGRkYwMjKCSqWCq6srZs6cicLCQiQnJyvbjIyMULduXbzxxhs4e/Zsqcco/undu7eyj4uLi/K9Wq2Gi4sLAgICkJiYqDdcq1evRocOHWBpaQkbGxt0794dO3bs0NpHE77atWvj0aNHWttOnDih/F7J/e/evav1d6tWrfDkyROt/29nZ4dVq1bphGvevHkwMTHBwoULdbatWrVKJ94AcPfuXRgZGSE5OVnZp6xPdna23nOiMX36dL2/AwALFy6EkZERvL29dbZdvXoVKpUKrVu31nvc4mGwtbVFhw4dsG3bNp042tnZaX2XlpYGZ2dnDBgwAPn5+aXG0cLCQud39H2mT59eZvyJiIiIiIiIiIiIiF4UXJxBRERERERERERERPQC6d27N27cuIGsrCxMnDgR06dP11p8kJGRgRs3bmDPnj14/Pgx+vbti/z8fL3HKP5Zv3691j4zZ87EjRs3kJGRgdjYWNjZ2aFHjx6YM2eO1n4ffPABxowZg4EDB+LMmTM4fvw4XnvtNfj5+WHZsmU64bexsUFCQoLWd1FRUWjYsKFB8b948SJiY2MN2jc6OhqTJ09GdHS03u2mpqbYu3cvkpKS9G4fOHCg1jnq3LkzQkJCtL5zdnYuNxz169dHUlISrl69qhO+0uK9atUqBAQE4N69ezh27JjefWJiYnDjxg2cPHkSr776Kv71r3/pLMYp7sSJE+jatSt69+6NjRs3QqVSAQBsbW110sPly5cBQOu7xYsX6+z7wQcflBt/IiIiIiIiIiIiIqIXARdnEBERERERERERERG9QMzNzeHk5IRGjRph3Lhx6NGjB7Zv365sd3R0hJOTE9q2bYvw8HD88ssvSE9P13uM4p/atWtr7WNjYwMnJyc0bNgQ3bp1w4oVK/Dxxx8jIiICGRkZAID//ve/+PTTT7Fw4UJ88MEHcHV1RYsWLTBnzhyEh4fj/fffxy+//KJ13KCgIK3FEg8fPsSGDRsQFBRkUPwnTJiAyMhIPH78uMz99u/fj4cPH2LmzJm4d+8ejhw5orOPlZUVRo4cialTp+o9hlqt1jpHKpUKlpaWWt+ZmJiUG2ZHR0f8z//8D1avXq18d+TIEdy+fRt9+/bV2V9EEBMTg2HDhmHIkCGIiorSe1w7Ozs4OTnB3d0ds2bNQmFhYakLTRITE+Hr64vg4GCsXLkSxsb/fwjJyMhIJz3Uq1cPALS+q1Wrls6+1tbW5cafiIiIiIiIiIiIiOhFwMUZREREREREREREREQvMLVarfNmDADIy8vDhg0bAEB5Q0JVhYWFQUSwbds2AMD69ethbW2NMWPG6Ow7ceJEFBQUYMuWLVrfDxs2DAcPHsSVK1cAAFu2bIGLiwvatm1rUBjCw8NRWFiIL774osz9oqKiMHjwYJiZmWHw4MGlLnCYPn06zp49i82bNxv0+5U1cuRIrFq1Svk7OjoagYGBeq9NUlIS/vjjD/To0QNDhw7Fhg0b8Pvvv5d67MLCQiV++o6XkJCAvn37Ytq0afjkk0+qHhkiIiIiIiIiIiIior8hLs4gIiIiIiIiIiIiInoBiQj27t2LPXv2wNfXV/n+5ZdfhrW1Nezs7BAXF4c333wTzZs31/q/O3bsgLW1tdZn7ty55f5mnTp14OjoiOzsbABAZmYmmjZtqndBwEsvvQRbW1tkZmZqfe/o6Ig+ffooCxWio6MxcuRIg+NtaWmJyMhIzJs3D3l5eXr3uXfvHjZv3oyhQ4cCAIYOHYpNmzbhwYMHesMZFhaGjz76CIWFhQaHo6L69euHe/fu4cCBA/j999+xadOmUuMdFRWFQYMGwcTEBK1bt0aTJk0QHx+vs9/gwYNhbW0Nc3NzvPfee3BxcUFAQIDWPg8ePMCAAQMwadIkTJkyRe/v5eXl6aSHPn36VD3SREREREREREREREQvEC7OICIiIiIiIiIiIiJ6gWgWVlhYWKBPnz4YOHAgpk+frmw/ePAgfvzxR6xatQru7u74+uuvdY7h4+ODlJQUrc/YsWMN+n0RgZGRkdbfFaV5i8TFixdx9OhRBAYGVuj/BwcHw97evtS3QKxfvx5NmzaFh4cHAMDT0xONGjXCxo0b9e4/ZcoU3Lp1C9HR0RWLSAWYmZlh6NChiImJQXx8PNzd3dGmTRud/e7evYutW7cqC0uAp4tL9L354/PPP0dKSgp27dqFli1b4ttvv0WdOnW09lGr1ejZsydWrlyJtLQ0vWGzsbHRSQ/ffvttFWNMRERERERERERERPRiMa3pABARERERERERERERUfXx8fHBV199BZVKhZdeegmmptpDAY0bN4adnR2aNWuGmzdvYuDAgThw4IDWPlZWVnB1da3wb9+5cwe3bt1C48aNAQDu7u44dOgQ8vPzdd6ecf36ddy7dw/u7u46x+nTpw9Gjx6N4OBg/POf/4S9vX2FwmFqaoo5c+ZgxIgRCA0N1dkeFRWFc+fOaZ2boqIiREdHIzg4WGd/Ozs7/O///i9mzJiBfv36VSgsFTFy5Eh07NgRqamppb41Iy4uDo8ePULHjh2V70QERUVFyMzM1DqfTk5OcHV1haurK2JiYvDGG2/g/PnzcHR0VPYxMTHBd999h7fffhs+Pj5ISkpCixYttH7T2Ni4UumBiIiIiIiIiIiIiOjvhG/OICIiIiIiIiIiIiJ6gWgWVjRs2FBnYUZJ48ePR2pqKhISEqrlt5csWQJjY2P4+/sDAAYNGoQHDx7gm2++0dl30aJFMDMzQ//+/XW2mZqaYvjw4UhOTi51kUJ5BgwYgFatWmHGjBla3589exYnT55EcnKy1psgkpOTcfToUaSnp+s93oQJE2BsbIwlS5ZUKjyGaNWqFVq1aoXU1FQMGTJE7z5RUVGYOHGiVthPnz6Nrl27lvlmDy8vL7Rr1w5z5szR2WZubo6tW7eiQ4cO8PHxwfnz56stTkREREREREREREREfxd8cwYRERERERERERER0d+UpaUlQkJCEBkZCX9/fxgZGQEAHj9+jJycHK19TU1N4eDgoPx9//595OTkoKCgAJcuXcLatWvx7bffYt68ecpbFjp37oywsDBMmjQJ+fn58Pf3R0FBAdauXYslS5Zg8eLFcHZ21hu2WbNmYdKkSRV+a0Zx8+fPR69evbS+i4qKgpeXF7p166azf4cOHRAVFYWFCxfqbLOwsMCMGTMwfvz4SofHEImJiSgoKICdnZ3OtpSUFJw6dQrr1q1D8+bNtbYNHjwYM2fOxOzZs0tdlBMeHo633noLkydPRoMGDbS2mZubY8uWLRgwYAB8fHyQmJiIVq1aAXj6Zo6S6QEAHB0dYWzM54AREREREREREREREQF8cwYRERERERERERER0d9aaGgo0tLSEB8fr3y3e/du1K9fX+vz2muvaf2/iIgI1K9fH66urhg2bBjy8vKwb98+TJkyRWu/xYsX48svv8T69evRunVrtG/fHgcOHMB3332HCRMmlBoulUoFBwcHZcFIZfj6+sLX1xeFhYUAgPz8fKxdu1bv2zoAoH///oiNjUVBQYHe7UFBQWjSpEmlw2MIKysrvQszgKcLS1q2bKmzMAMA3nrrLdy8eRM7d+4s9di9e/dG48aN9b49A3h6zjdv3owuXbrAx8cHqampAIB79+7ppIf69evj5s2bFY8gEREREREREREREdELykhEpKYDQURERERERERERERERERERERERERERERE9FfFN2cQERERERERERERERERERERERERERERERFVARdnEBERERERERERERERPSPW1talfg4ePFjTwSMiIiIiIiIiIiIiompiJCJS04EgIiIiIiIiIiIiIiJ6Ef3888+lbmvQoAHUavWfGBoiIiIiIiIiIiIiInpWuDiDiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIioCoxrOgBERERERERERERERERERERERERERERERER/ZVycQUREREREREREREREREREREREREREREREVAVcnEFERERERERERERERERERERERERERERERFQFXJxBRERERERERERERERERERERERERERERERUBVycQUREREREREREREREREREREREREREREREVAVcnEFERERERERERERERERERERERERERERERFQFXJxBRERERERERERERERERERERERERERERERUBVycQUREREREREREREREREREREREREREREREVAX/D9nyFmYrup8sAAAAAElFTkSuQmCC", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(40,20))\n", "\n", "sns.countplot(x='PREDOMINANT_MARKET', data=k2)\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 176, "id": "b1939089-f0e2-45d2-aa4b-ddc927ec2af5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, "execution_count": 176, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.kdeplot(data=k2, x='total_revenue_21-23')\n", "plt.title ('Revenue Distribution for Tier 1 - Cluster 1 across 2021-2023')" ] }, { "cell_type": "code", "execution_count": 177, "id": "41d2d142-743a-40f0-b06f-521ef27e9165", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1279.000000\n", "mean 7643.278702\n", "std 31658.411496\n", "min -22.432231\n", "25% 111.302172\n", "50% 881.290621\n", "75% 4852.747310\n", "max 663984.796805\n", "Name: total_revenue_21-23, dtype: float64" ] }, "execution_count": 177, "metadata": {}, "output_type": "execute_result" } ], "source": [ "k2['total_revenue_21-23'].describe()" ] }, { "cell_type": "code", "execution_count": 178, "id": "dd786cf0-a7de-44ab-adfc-ff36944e68fe", "metadata": {}, "outputs": [], "source": [ "frames = [unscaled_tier1, unscaled_tier2, unscaled_tier3]" ] }, { "cell_type": "code", "execution_count": 179, "id": "42326a2b-2d91-4abc-b06a-3feadc52b8f7", "metadata": {}, "outputs": [], "source": [ "res = pd.concat(frames)" ] }, { "cell_type": "code", "execution_count": 180, "id": "258b7f63-5011-4f64-8a7d-f70593430272", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array(['Tier_1', 'Tier_2', 'Tier_3'], dtype=object)" ] }, "execution_count": 180, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res['SERVICE_TIER_NAME'].unique()" ] }, { "cell_type": "code", "execution_count": 181, "id": "d00fb41e-ce7c-425e-a22b-b2c98c68a9a5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SERVICE_TIER_NAME\n", "Tier_3 5329\n", "Tier_2 728\n", "Tier_1 179\n", "Name: count, dtype: int64" ] }, "execution_count": 181, "metadata": {}, "output_type": "execute_result" } ], "source": [ "res['SERVICE_TIER_NAME'].value_counts()" ] }, { "cell_type": "code", "execution_count": null, "id": "0e450546-591f-4b82-8628-87f5e862df9f", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }