From dcee122cb985518bf9cb9f4d60526ad3be824054 Mon Sep 17 00:00:00 2001 From: criszam99 <61209933+criszam99@users.noreply.github.com> Date: Wed, 14 Sep 2022 04:55:09 -0300 Subject: [PATCH 1/2] Actualizacion --- Data.ipynb | 3792 ++++++++++++++++++++++++++++++++++ criszam99.csv | 5381 +++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 9173 insertions(+) create mode 100644 Data.ipynb create mode 100644 criszam99.csv diff --git a/Data.ipynb b/Data.ipynb new file mode 100644 index 0000000..6815775 --- /dev/null +++ b/Data.ipynb @@ -0,0 +1,3792 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "\n", + "\n", + "# Bicycle Share Scheme\n", + "## Datathon Individual de Henry\n", + "### Autora: Cristina del Valle Zamorano \n", + "#### https://www.linkedin.com/in/cristina-zamorano-36623a86\n", + "\n", + "![separator2](https://i.imgur.com/4gX5WFr.png)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Se importan e instalan las librerias necesarias" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import missingno as msno\n", + "import seaborn as sns\n", + "import sklearn as sk\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "\n", + "### Preparación y limpieza de datos:\n", + "Se cargará el conjunto de datos los dataframe, se veran las columnas y filas de los datos, se realizará estadísticas descriptivas para conocer mejor las características dentro del conjunto de datos, se escribirá las observaciones, se encontrará (en caso de ser necesario) los valores faltantes.\n", + "\n", + "### Se crean los Dataframe utilizando Pandas\n", + "\n", + "* bike_train\n", + "* bike_test" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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instantdtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcasualregisteredcnt
012011-01-01101006010.240.28790.810.031316
122011-01-01101106010.220.27270.800.083240
232011-01-01101206010.220.27270.800.052732
342011-01-01101306010.240.28790.750.031013
452011-01-01101406010.240.28790.750.0011
\n", + "
" + ], + "text/plain": [ + " instant dteday season yr mnth hr holiday weekday workingday \\\n", + "0 1 2011-01-01 1 0 1 0 0 6 0 \n", + "1 2 2011-01-01 1 0 1 1 0 6 0 \n", + "2 3 2011-01-01 1 0 1 2 0 6 0 \n", + "3 4 2011-01-01 1 0 1 3 0 6 0 \n", + "4 5 2011-01-01 1 0 1 4 0 6 0 \n", + "\n", + " weathersit temp atemp hum windspeed casual registered cnt \n", + "0 1 0.24 0.2879 0.81 0.0 3 13 16 \n", + "1 1 0.22 0.2727 0.80 0.0 8 32 40 \n", + "2 1 0.22 0.2727 0.80 0.0 5 27 32 \n", + "3 1 0.24 0.2879 0.75 0.0 3 10 13 \n", + "4 1 0.24 0.2879 0.75 0.0 0 1 1 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#se importan los datos bike_train.xlsx\n", + "bike_train = pd.read_excel('bike_train.xlsx')\n", + "bike_train.head() " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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instantdtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
0120002012-05-20215400010.520.50000.680.0896
1120012012-05-20215500010.500.48480.720.1045
2120022012-05-20215600010.500.48480.630.1343
3120032012-05-20215700010.520.50000.680.1940
4120042012-05-20215800010.560.53030.560.1642
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" + ], + "text/plain": [ + " instant dteday season yr mnth hr holiday weekday workingday \\\n", + "0 12000 2012-05-20 2 1 5 4 0 0 0 \n", + "1 12001 2012-05-20 2 1 5 5 0 0 0 \n", + "2 12002 2012-05-20 2 1 5 6 0 0 0 \n", + "3 12003 2012-05-20 2 1 5 7 0 0 0 \n", + "4 12004 2012-05-20 2 1 5 8 0 0 0 \n", + "\n", + " weathersit temp atemp hum windspeed \n", + "0 1 0.52 0.5000 0.68 0.0896 \n", + "1 1 0.50 0.4848 0.72 0.1045 \n", + "2 1 0.50 0.4848 0.63 0.1343 \n", + "3 1 0.52 0.5000 0.68 0.1940 \n", + "4 1 0.56 0.5303 0.56 0.1642 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#se importan los datos bike_test.xlsx\n", + "bike_test = pd.read_excel('bike_test.xlsx')\n", + "bike_test.head() " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Tamaño del Data Frame (numero de filas y columnas) y Nombre de las columnas" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cantidad de Filas y columnas: (11999, 17)\n", + "Nombre columnas: Index(['instant', 'dteday', 'season', 'yr', 'mnth', 'hr', 'holiday', 'weekday',\n", + " 'workingday', 'weathersit', 'temp', 'atemp', 'hum', 'windspeed',\n", + " 'casual', 'registered', 'cnt'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print('Cantidad de Filas y columnas:',bike_train.shape)\n", + "print('Nombre columnas:',bike_train.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cantidad de Filas y columnas: (5380, 14)\n", + "Nombre columnas: Index(['instant', 'dteday', 'season', 'yr', 'mnth', 'hr', 'holiday', 'weekday',\n", + " 'workingday', 'weathersit', 'temp', 'atemp', 'hum', 'windspeed'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "print('Cantidad de Filas y columnas:',bike_test.shape)\n", + "print('Nombre columnas:',bike_test.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Columnas, nulos y tipo de datos" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 11999 entries, 0 to 11998\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 instant 11999 non-null int64 \n", + " 1 dteday 11999 non-null datetime64[ns]\n", + " 2 season 11999 non-null int64 \n", + " 3 yr 11999 non-null int64 \n", + " 4 mnth 11999 non-null int64 \n", + " 5 hr 11999 non-null int64 \n", + " 6 holiday 11999 non-null int64 \n", + " 7 weekday 11999 non-null int64 \n", + " 8 workingday 11999 non-null int64 \n", + " 9 weathersit 11999 non-null int64 \n", + " 10 temp 11999 non-null float64 \n", + " 11 atemp 11999 non-null float64 \n", + " 12 hum 11999 non-null float64 \n", + " 13 windspeed 11999 non-null float64 \n", + " 14 casual 11999 non-null int64 \n", + " 15 registered 11999 non-null int64 \n", + " 16 cnt 11999 non-null int64 \n", + "dtypes: datetime64[ns](1), float64(4), int64(12)\n", + "memory usage: 1.6 MB\n" + ] + } + ], + "source": [ + "bike_train.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 5380 entries, 0 to 5379\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 instant 5380 non-null int64 \n", + " 1 dteday 5380 non-null datetime64[ns]\n", + " 2 season 5380 non-null int64 \n", + " 3 yr 5380 non-null int64 \n", + " 4 mnth 5380 non-null int64 \n", + " 5 hr 5380 non-null int64 \n", + " 6 holiday 5380 non-null int64 \n", + " 7 weekday 5380 non-null int64 \n", + " 8 workingday 5380 non-null int64 \n", + " 9 weathersit 5380 non-null int64 \n", + " 10 temp 5380 non-null float64 \n", + " 11 atemp 5380 non-null float64 \n", + " 12 hum 5380 non-null float64 \n", + " 13 windspeed 5380 non-null float64 \n", + "dtypes: datetime64[ns](1), float64(4), int64(9)\n", + "memory usage: 588.6 KB\n" + ] + } + ], + "source": [ + "bike_test.info()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### bike_train \n", + "* Cantidad de Filas: 11999- Cada registro muestra la **cantidad de bicicletas alquiladas.** La suma total de alquileres es **1.902.981** y la cantidad máxima por registro es de **957** alquileres.\n", + "* Cantidad de Columnas: 17\n", + "* Sin datos nulos\n", + "\n", + "### bike_test\n", + "* Cantidad de Filas: 5380 - Cada registro muestra un **alquiler individual.** La suma total de alquileres es de **5380**\n", + "* Cantidad de Columnas: 14\n", + "* Sin datos nulos" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1902981" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Numero total de cnt\n", + "bike_train['cnt'].sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "957" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# valor máximo de cnt \n", + "bike_train['cnt'].max()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se van a eliminar las columnas del Data Frame **bike_train** que no se encuentren en **bike_test**, excepto **cnt**." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
02011-01-01101006010.240.28790.810.016
12011-01-01101106010.220.27270.800.040
22011-01-01101206010.220.27270.800.032
32011-01-01101306010.240.28790.750.013
42011-01-01101406010.240.28790.750.01
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" + ], + "text/plain": [ + " dteday season yr mnth hr holiday weekday workingday weathersit \\\n", + "0 2011-01-01 1 0 1 0 0 6 0 1 \n", + "1 2011-01-01 1 0 1 1 0 6 0 1 \n", + "2 2011-01-01 1 0 1 2 0 6 0 1 \n", + "3 2011-01-01 1 0 1 3 0 6 0 1 \n", + "4 2011-01-01 1 0 1 4 0 6 0 1 \n", + "\n", + " temp atemp hum windspeed cnt \n", + "0 0.24 0.2879 0.81 0.0 16 \n", + "1 0.22 0.2727 0.80 0.0 40 \n", + "2 0.22 0.2727 0.80 0.0 32 \n", + "3 0.24 0.2879 0.75 0.0 13 \n", + "4 0.24 0.2879 0.75 0.0 1 " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Se van a eliminar las columnas del Data Frame **bike_train** que no se encuentren en **bike_test**, excepto cnt\n", + "bike_train = bike_train.drop(['instant','casual','registered'], axis=1)\n", + "bike_train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
02012-05-20215400010.520.50000.680.0896
12012-05-20215500010.500.48480.720.1045
22012-05-20215600010.500.48480.630.1343
32012-05-20215700010.520.50000.680.1940
42012-05-20215800010.560.53030.560.1642
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" + ], + "text/plain": [ + " dteday season yr mnth hr holiday weekday workingday weathersit \\\n", + "0 2012-05-20 2 1 5 4 0 0 0 1 \n", + "1 2012-05-20 2 1 5 5 0 0 0 1 \n", + "2 2012-05-20 2 1 5 6 0 0 0 1 \n", + "3 2012-05-20 2 1 5 7 0 0 0 1 \n", + "4 2012-05-20 2 1 5 8 0 0 0 1 \n", + "\n", + " temp atemp hum windspeed \n", + "0 0.52 0.5000 0.68 0.0896 \n", + "1 0.50 0.4848 0.72 0.1045 \n", + "2 0.50 0.4848 0.63 0.1343 \n", + "3 0.52 0.5000 0.68 0.1940 \n", + "4 0.56 0.5303 0.56 0.1642 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#borrar la columna instant de la base de datos bike_test\n", + "bike_test = bike_test.drop(['instant'], axis=1)\n", + "bike_test.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
53752012-12-3111121901120.260.25760.600.1642
53762012-12-3111122001120.260.25760.600.1642
53772012-12-3111122101110.260.25760.600.1642
53782012-12-3111122201110.260.27270.560.1343
53792012-12-3111122301110.260.27270.650.1343
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" + ], + "text/plain": [ + " dteday season yr mnth hr holiday weekday workingday \\\n", + "5375 2012-12-31 1 1 12 19 0 1 1 \n", + "5376 2012-12-31 1 1 12 20 0 1 1 \n", + "5377 2012-12-31 1 1 12 21 0 1 1 \n", + "5378 2012-12-31 1 1 12 22 0 1 1 \n", + "5379 2012-12-31 1 1 12 23 0 1 1 \n", + "\n", + " weathersit temp atemp hum windspeed \n", + "5375 2 0.26 0.2576 0.60 0.1642 \n", + "5376 2 0.26 0.2576 0.60 0.1642 \n", + "5377 1 0.26 0.2576 0.60 0.1642 \n", + "5378 1 0.26 0.2727 0.56 0.1343 \n", + "5379 1 0.26 0.2727 0.65 0.1343 " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bike_test.tail()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### * Los datos de bike_train abarca desde el 01/01/2011 al 20/05/2012 \n", + "\n", + "#### * Los datos de bike_test abarca desde el 20/05/2012 al 31/12/12" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Estadisticas descriptivas: " + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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seasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
count11999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.000000
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25%1.0000000.0000003.0000006.0000000.0000001.0000000.0000001.0000000.3200000.3030000.4700000.10450034.000000
50%2.0000000.0000005.00000012.0000000.0000003.0000001.0000001.0000000.4600000.4545000.6200000.194000118.000000
75%3.0000001.0000008.00000018.0000000.0000005.0000001.0000002.0000000.6200000.5909000.7900000.283600232.000000
max4.0000001.00000012.00000023.0000001.0000006.0000001.0000004.0000000.9600001.0000001.0000000.850700957.000000
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" + ], + "text/plain": [ + " season yr mnth hr holiday \\\n", + "count 11999.000000 11999.000000 11999.000000 11999.000000 11999.000000 \n", + "mean 2.210684 0.279523 5.530294 11.556630 0.027752 \n", + "std 1.088798 0.448784 3.433005 6.911891 0.164269 \n", + "min 1.000000 0.000000 1.000000 0.000000 0.000000 \n", + "25% 1.000000 0.000000 3.000000 6.000000 0.000000 \n", + "50% 2.000000 0.000000 5.000000 12.000000 0.000000 \n", + "75% 3.000000 1.000000 8.000000 18.000000 0.000000 \n", + "max 4.000000 1.000000 12.000000 23.000000 1.000000 \n", + "\n", + " weekday workingday weathersit temp atemp \\\n", + "count 11999.000000 11999.000000 11999.000000 11999.000000 11999.000000 \n", + "mean 3.009334 0.684057 1.435036 0.465704 0.448888 \n", + "std 2.005264 0.464910 0.650894 0.188576 0.169633 \n", + "min 0.000000 0.000000 1.000000 0.020000 0.000000 \n", + "25% 1.000000 0.000000 1.000000 0.320000 0.303000 \n", + "50% 3.000000 1.000000 1.000000 0.460000 0.454500 \n", + "75% 5.000000 1.000000 2.000000 0.620000 0.590900 \n", + "max 6.000000 1.000000 4.000000 0.960000 1.000000 \n", + "\n", + " hum windspeed cnt \n", + "count 11999.000000 11999.000000 11999.000000 \n", + "mean 0.625770 0.196433 158.594966 \n", + "std 0.200637 0.125394 151.392952 \n", + "min 0.000000 0.000000 1.000000 \n", + "25% 0.470000 0.104500 34.000000 \n", + "50% 0.620000 0.194000 118.000000 \n", + "75% 0.790000 0.283600 232.000000 \n", + "max 1.000000 0.850700 957.000000 " + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bike_train.describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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seasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
count5380.0000005380.05380.0000005380.0000005380.0000005380.0000005380.000005380.0000005380.0000005380.0000005380.0000005380.000000
mean3.1505581.08.78475811.5247210.0310412.9910780.679741.4035320.5667580.5357410.6304830.175968
std0.8391840.02.1451666.9206010.1734442.0070320.466620.6123430.1828000.1613000.1744930.113988
min1.0000001.05.0000000.0000000.0000000.0000000.000001.0000000.1400000.1515000.1600000.000000
25%3.0000001.07.0000006.0000000.0000001.0000000.000001.0000000.4000000.4091000.4900000.104500
50%3.0000001.09.00000012.0000000.0000003.0000001.000001.0000000.6000000.5758000.6400000.164200
75%4.0000001.011.00000018.0000000.0000005.0000001.000002.0000000.7000000.6667000.7800000.253700
max4.0000001.012.00000023.0000001.0000006.0000001.000003.0000001.0000000.9242001.0000000.656700
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" + ], + "text/plain": [ + " season yr mnth hr holiday \\\n", + "count 5380.000000 5380.0 5380.000000 5380.000000 5380.000000 \n", + "mean 3.150558 1.0 8.784758 11.524721 0.031041 \n", + "std 0.839184 0.0 2.145166 6.920601 0.173444 \n", + "min 1.000000 1.0 5.000000 0.000000 0.000000 \n", + "25% 3.000000 1.0 7.000000 6.000000 0.000000 \n", + "50% 3.000000 1.0 9.000000 12.000000 0.000000 \n", + "75% 4.000000 1.0 11.000000 18.000000 0.000000 \n", + "max 4.000000 1.0 12.000000 23.000000 1.000000 \n", + "\n", + " weekday workingday weathersit temp atemp \\\n", + "count 5380.000000 5380.00000 5380.000000 5380.000000 5380.000000 \n", + "mean 2.991078 0.67974 1.403532 0.566758 0.535741 \n", + "std 2.007032 0.46662 0.612343 0.182800 0.161300 \n", + "min 0.000000 0.00000 1.000000 0.140000 0.151500 \n", + "25% 1.000000 0.00000 1.000000 0.400000 0.409100 \n", + "50% 3.000000 1.00000 1.000000 0.600000 0.575800 \n", + "75% 5.000000 1.00000 2.000000 0.700000 0.666700 \n", + "max 6.000000 1.00000 3.000000 1.000000 0.924200 \n", + "\n", + " hum windspeed \n", + "count 5380.000000 5380.000000 \n", + "mean 0.630483 0.175968 \n", + "std 0.174493 0.113988 \n", + "min 0.160000 0.000000 \n", + "25% 0.490000 0.104500 \n", + "50% 0.640000 0.164200 \n", + "75% 0.780000 0.253700 \n", + "max 1.000000 0.656700 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bike_test.describe()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Correlación de los datos" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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seasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
season1.000000-0.4466650.865268-0.007610-0.008928-0.0036880.012630-0.0090290.4107900.4131960.198937-0.1429240.111369
yr-0.4466651.000000-0.488103-0.0039480.001039-0.0027140.001068-0.006309-0.198929-0.190360-0.1413190.0673560.156960
mnth0.865268-0.4881031.000000-0.0070600.0093720.0145000.006441-0.0122390.3533300.3585410.201669-0.1470420.073431
hr-0.007610-0.003948-0.0070601.0000000.000414-0.0040370.003454-0.0240030.1392510.134633-0.2572020.1304410.396698
holiday-0.0089280.0010390.0093720.0004141.000000-0.102503-0.248601-0.014707-0.028519-0.038005-0.0366720.022681-0.030304
weekday-0.003688-0.0027140.014500-0.004037-0.1025031.0000000.0310570.017259-0.010002-0.009841-0.0259320.0084470.022618
workingday0.0126300.0010680.0064410.003454-0.2486010.0310571.0000000.0422020.0622730.0663050.022805-0.0024930.025132
weathersit-0.009029-0.006309-0.012239-0.024003-0.0147070.0172590.0422021.000000-0.080149-0.0813860.4303780.009195-0.149848
temp0.410790-0.1989290.3533300.139251-0.028519-0.0100020.062273-0.0801491.0000000.991785-0.019289-0.0139840.395743
atemp0.413196-0.1903600.3585410.134633-0.038005-0.0098410.066305-0.0813860.9917851.000000-0.003669-0.0576190.395234
hum0.198937-0.1413190.201669-0.257202-0.036672-0.0259320.0228050.430378-0.019289-0.0036691.000000-0.295765-0.303672
windspeed-0.1429240.067356-0.1470420.1304410.0226810.008447-0.0024930.009195-0.013984-0.057619-0.2957651.0000000.094791
cnt0.1113690.1569600.0734310.396698-0.0303040.0226180.025132-0.1498480.3957430.395234-0.3036720.0947911.000000
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0.035967\n", + "holiday temp 0.034763\n", + "mnth workingday 0.031176\n", + "weathersit weekday 0.030047\n", + "season holiday 0.029560\n", + "workingday season 0.029156\n", + "hum season 0.026825\n", + "holiday atemp 0.025364\n", + "weathersit holiday 0.021687\n", + "weekday temp 0.020362\n", + "temp windspeed 0.019468\n", + "windspeed weekday 0.018021\n", + " atemp 0.014842\n", + "mnth windspeed 0.012960\n", + " weekday 0.011644\n", + "hr weathersit 0.011413\n", + "weekday season 0.007752\n", + "atemp weekday 0.003897\n", + "weathersit season 0.002945\n", + "weekday hr 0.002326\n", + "workingday hum 0.002209\n", + "hr holiday 0.000677\n", + " season 0.000481\n", + " workingday 0.000340\n", + "mnth hr 0.000133\n", + "season yr NaN\n", + "dtype: float64" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#ordenar de mayor a menor correlacion en la tabla bike_test\n", + "bike_test.corr().abs().unstack().sort_values(ascending=False).drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#mapa de calor\n", + "plt.figure(figsize=(8,8))\n", + "sns.heatmap(bike_train.corr(),annot=True,fmt='.1f')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#mapa de calor de bike_test\n", + "plt.figure(figsize=(8,8))\n", + "sns.heatmap(bike_test.corr(),annot=True,fmt='.1f')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Graficas de cnt por las features que mas se correlacionan." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#graficar cnt por hr\n", + "plt.figure(figsize=(5,5))\n", + "sns.barplot(x='hr',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones:\n", + "* Durante la noche entre las 23 y 6 de la mañana hay muy pocos alquileres.\n", + "* Los mayores picos se encuentran a la mañana, 8 hs. (ingreso laboral) y por la tarde: 17/18 hs. (fin del horario laboral)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#graficar cnt por temp \n", + "plt.figure(figsize=(20,5))\n", + "sns.barplot(x='temp',y='cnt',data=bike_train)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Observaciones:\n", + "* a medida que aumenta la temperatura, aumenta el alquiler de bicicletas.\n", + "* con bajas temperaturas hay menor alquiler, al igual que cuando la temperatura es muy alta, empieza a descender los alquileres.\n", + "* el máximo contemplado en los datos son 40 grados = 1." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# se va a redondear la columna atemp a 2 decimales para poder graficar con mas claridad\n", + "bike_train['atemp'] = bike_train['atemp'].round(2)\n", + "bike_test['atemp'] = bike_test['atemp'].round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#graficar cnt por atemp\n", + "plt.figure(figsize=(20,5))\n", + "sns.barplot(x='atemp',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones: \n", + "* La sensación térmica, es la percepción subjetiva de cada persona tiene de la temperatura. Este índice varía según una serie de factores que involucran a la humedad y el viento, entre otras. \n", + "* En los datos la sensación térmica se encuentra normalizada, y la temperatura máxima considerada en 50°C = 1\n", + "* En lineas generales sigue el mismo patrón que el gráfico de temperatura." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# graficar cnt por hum\n", + "plt.figure(figsize=(20,5))\n", + "sns.barplot(x='hum',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Observaciones: \n", + "\n", + "* El nivel de humedad se encuentra normalizada, un 100% de humedad (dia de lluvia) = 1\n", + "* Se alquila mas bicicletas en los días de baja humedad.\n", + "* A medida que aumenta la humedad desciende el número de alquileres." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "# redondear la columna wihdspeed a 2 decimales para poder graficar con mas claridad\n", + "bike_train['windspeed'] = bike_train['windspeed'].round(2)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Wr14dV111VQwbNiwefvjhOOGEE+LEE0+MWbNm5SxLrvLk8/gmTZ6nnnoqbrnllm3+g09j7adzlSUf++iI3OQptG1na3nyte2kybLXXnvFL37xi7j33nvj17/+dWzcuDEOPfTQeOutt+pdv6kf32xLnkLadrYlTz6OcdJk+etf/xp33nln1NbWxgMPPBCXXnpp/OhHP4rvfe97OatzW+Uqz/Tp0+PFF1+MyZMn57T+j8tVnkI5D91alkI+D50zZ068+uqr8fWvf32z6zT1/fSmNpenEM9DN5clX+ehafKccsopMWnSpDjssMOiVatWsdtuu8XgwYPjO9/5Tk5r3Ra5ypOP/XSusgwcODBuu+22ePDBB+PGG2+MJUuWxOGHHx6rVq3KSY6WORmV7V6rVq3irrvuirPOOis6d+4cxcXFMWTIkDjmmGMiSZJ8l0f8+wRl3rx5sWLFirjzzjtj5MiRMWvWrJw3WnJh48aNceCBB8aVV14ZEREHHHBAvPrqq3HTTTfFyJEj81xdw/zqV7+Kr33ta/GZz3wmiouL47Of/Wx85Stfiblz5+a7tC266qqrYvr06TFz5sxP/B9QEf9++OCXv/zlSJIkbrzxxjxU2DCby3PyySdnpvv16xf9+/eP3XbbLWbOnBlHHXVUPkrdqs1luf766+PZZ5+N++67L3r37h1PPvlkjBo1aouNsqakQ4cOMW/evFi9enU89thjMXbs2Nh1111j8ODB+S5tm2xL/f/xH/8R8+bNi3/+859x8803x5e//OV47rnnolu3bvkrvB5byrJx48aIiDj++OPjggsuiIiI/fffP5555pm46aabYtCgQfksvV5bylNIxzerVq2K0047LW6++eZtas415f30tmYplH30tuQppG1nW/IU0rZTWVlZ5+ruQw89NPbee+/46U9/GldccUWddZvydvORbclTKNtOxLblKZRjnI0bN0a3bt3iZz/7WRQXF8eAAQPiH//4R/zwhz+Myy+/PN/lNdjW8rz55psxZsyYeOSRR+o9X2hqtuXnUyjnoduSpVDPQ2+55Zbo169fHHzwwfUuL4T99KY2l6eQ9tMf2VyWQtlHR/z76qErr7wybrjhhhg4cGAsWrQoxowZE1dccUVceuml+S6vwbaWp5D209vysznmmGMy6/fv3z8GDhwYvXv3jt/97nfbfJV/Q2iyZEGXLl2iuLg4qqur68yvrq6OioqKej9TUVHRoPVzKVf1DxgwIPNH/HXr1kXXrl1j4MCBceCBB2Y/xBakyddU5LL2kpKS2H333SPi3z+r559/PqZMmRI//elPP9W4W5KrPN27d/9Ec2jvvfeO//3f/0095tbkKstuu+0Ws2bNijVr1sTKlSuje/fucdJJJ8Wuu+76aUveok+T55prromrrroqHn300ejfv/8nln90YPv3v/89Hn/88Zz/30MRuc2zqV133TW6dOkSixYtytnBbS6yfPDBB/Gd73wn7r777hg+fHhE/PugY968eXHNNdc06sFt2nwtWrTI7MP233//eP3112Py5MmN3mTJZf3t2rWL3XffPXbfffc45JBDYo899ohbbrklxo8fXzBZunTpEi1btqx3H53r20/k6meTr+ObhuZZvHhx/O1vf4vjjjsuM++jP9y3bNkyFixYELvttltENP5+OpdZNtUY++iI3OTp1atXwWw72/rzyce2k43jtVatWsUBBxwQixYtqjO/0I5vPrK5PJtqqttOfT6eJ1/HOGmydO/ePVq1ahXFxcWZeXvvvXdUVVXFunXroqSkJCe1botc5Jk7d24sW7YsPvvZz2aW19bWxpNPPhn/7//9v6ipqanz2aaep6SkpGDOQ7clSyGeh65ZsyamT58ekyZNqnd5oe2nt5ZnU039PHRzWfJ5Hpomz6WXXhqnnXZa5mqcfv36xZo1a+Kcc86J7373u9GiRf5uEJWLPPnaTzfWz6ZTp06x5557bvEY6NNwu7AsKCkpiQEDBsRjjz2Wmbdx48Z47LHHNvuMi8rKyjrrR0Q88sgjOX8mRn1yXX/Hjh2ja9eusXDhwnjhhRfi+OOPz26ArUiTr6lozNo3btyYuV92ruQqz+c+97lYsGBBnXlvvPFG9O7dO/WYW5Prn027du2ie/fu8a9//SseeuihnG83afNcffXVccUVV8SDDz5Y7x9JPjqwXbhwYTz66KOx44475qT+j8tVno9766234t13343u3btnpe765CLL+vXrY/369Z848CguLs78YayxZGtbaox9WH0as/5cZ8xFlpKSkjjooIMafR/90Xfn8mfT2Mc3Dc3Tp0+feOWVV2LevHmZ1xe+8IXMFVK9evWKiPzsp3OV5eMaYx8dkZs8hbTtNPTn05jbTjb2A7W1tfHKK6/U+T0qtOObTdWX5+Oa6rZTn4/nydcxTposn/vc52LRokV16nrjjTeie/fueW2wROQmz1FHHfWJfcWBBx4Yp556asybNy9nDZZc5flonUI4D23I71qhnIdGRPz+97+Pmpqa+OpXv/qJZYW4n95Sno9ryuehEZvPks/z0DR51q5dW2+tEZH3K3FzkSdf++nG+tmsXr06Fi9enLvtJiErpk+fnpSWlia33XZbMn/+/OScc85JOnXqlFRVVSVJkiSnnXZa8u1vfzuz/tNPP520bNkyueaaa5LXX389ufzyy5NWrVolr7zySrOp/3e/+13yxBNPJIsXL07uueeepHfv3smJJ57Y6NmSpOH5ampqkpdeeil56aWXku7duycXXXRR8tJLLyULFy5sFrV/+9vfTmbNmpUsWbIkefnll5Nvf/vbSVFRUfLwww8XZJ45c+YkLVu2TL7//e8nCxcuTO64446kbdu2ya9//euCy/Lggw8mf/zjH5O//vWvycMPP5zst99+ycCBA5N169blNEuaPFdddVVSUlKS3Hnnnck777yTea1atSpJkiRZt25d8oUvfCHp2bNnMm/evDrr1NTUFFyeVatWJRdddFEye/bsZMmSJcmjjz6afPazn0322GOP5MMPPyyoLEmSJIMGDUr22Wef5Iknnkj++te/JrfeemvSunXr5IYbbshplmzku/LKK5OHH344Wbx4cTJ//vzkmmuuSVq2bJncfPPNjV57LupfvXp1Mn78+GT27NnJ3/72t+SFF15IzjzzzKS0tDR59dVXCypLkiTJXXfdlbRq1Sr52c9+lixcuDC5/vrrk+Li4uRPf/pTTrPkKk8+j28amufjRo4cmRx//PGZ9/ncT2c7Sz730UmS/TxJUljbzsfVlydf205Ds0ycODF56KGHksWLFydz585NTj755KR169bJa6+9liRJ4R3fbC1PoW07W8uTJPk7xmlolqVLlyYdOnRIRo8enSxYsCCZMWNG0q1bt+R73/teZp1Vq1Zlzh8iIvnxj3+cvPTSS8nf//73nGbJVZ6PGzRoUDJmzJhcR0mSJDd5CuU8dFuyFNJ56EcOO+yw5KSTTvrE/ELbT28tTyGdh24tS5Lk9zy0oXkuv/zypEOHDslvfvObzLax2267JV/+8pcz6xTSfnpb8nxcY+2nc5HlwgsvTGbOnJksWbIkefrpp5MhQ4YkXbp0SZYtW5aTDJosWXT99dcnO+20U1JSUpIcfPDBybPPPptZNmjQoGTkyJF11v/d736X7LnnnklJSUmyzz77JPfff38jV1xXtuufMmVK0rNnz6RVq1bJTjvtlFxyySWN8g/a5jQk35IlS5KI+MRr0KBBjV94kv3av/a1ryW9e/dOSkpKkq5duyZHHXVUozRYcpUnSZLkD3/4Q7LvvvsmpaWlSZ8+fZKf/exnBZnlt7/9bbLrrrsmJSUlSUVFRTJq1Kjk/fffb5QsDc3Tu3fvevNcfvnlSZJsPm9EJE888UTB5Vm7dm1y9NFHJ127dk1atWqV9O7dOzn77LMz/+gXUpYkSZJ33nknOeOMM5IePXokrVu3Tvbaa6/kRz/6UbJx48ZGyfNxDcn33e9+N9l9992T1q1bJzvssENSWVmZTJ8+PQ9V/59s1v/BBx8kJ5xwQtKjR4+kpKQk6d69e/KFL3whmTNnTsFl+cgtt9ySWW+//fZL7rnnnsaIkiRJ9vPk+/imocdrm/r4H77zvZ/OZpZ876OTJLt5PlIo287H1Zcnn9tOQ7Kcf/75mXXLy8uTY489NnnxxRczy/O93WQ7T6FtO1vLkyT5PcZp6HbzzDPPJAMHDkxKS0uTXXfdNfn+97+fbNiwIbP8iSeeqPd3bUvbX1PO83GN2WRJktzkKYTz0CTZepZCOg9NkiT5y1/+kkREvX/HKLT9dJJsOU++99PZzJIk+T8PbUie9evXJxMmTEh22223pHXr1kmvXr2S//mf/0n+9a9/ZdYppP30tuT5uMbcT2c7y0knnZR07949KSkpST7zmc8kJ510UrJo0aKc1V+UJE3sSYMAAAAAAAAFwDNZAAAAAAAAUtBkAQAAAAAASEGTBQAAAAAAIAVNFgAAAAAAgBQ0WQAAAAAAAFLQZAEAAAAAAEhBkwUAAAAAACAFTRYAAKAg3HbbbdGpU6dPPc7gwYPj/PPP/9Tj5NrOO+8c1113Xb7LAAAAtkCTBQAAKAgnnXRSvPHGG/kuAwAAIKNlvgsAAADYFm3atIk2bdrkuwwAAIAMV7IAAAB5M2PGjOjUqVPU1tZGRMS8efOiqKgovv3tb2fW+frXvx5f/epXP3G7sAkTJsT+++8fv/rVr2LnnXeOjh07xsknnxyrVq3KrLNmzZo4/fTTo3379tG9e/f40Y9+9Ikabrjhhthjjz2idevWUV5eHv/1X/+VWTZ48OAYPXp0jB49Ojp27BhdunSJSy+9NJIkyaxTU1MTF110UXzmM5+Jdu3axcCBA2PmzJl1vuOpp56Kww8/PNq0aRO9evWKb37zm7FmzZrM8mXLlsVxxx0Xbdq0iV122SXuuOOO1P9NAQCAxqPJAgAA5M3hhx8eq1atipdeeikiImbNmhV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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#graficar cnt por windspeed\n", + "plt.figure(figsize=(20,5))\n", + "sns.barplot(x='windspeed',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones:\n", + "* La velocidad del viento se encuentra normalizada, 1 corresponde a 67 km/h\n", + "* hay un pico en 0.85, lo que corresponde a 57 km/h aproximadamente, si los vientos muy fuertes oscilan entre 50 y 61 km/h con dificultad en la marcha personal contra el viento, resulta dificil que en esas condicones climáticas haya habido tanto alquiler de rodados." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#detecccion de outliers de windspeed\n", + "plt.figure(figsize=(5,5))\n", + "sns.boxplot(x='windspeed',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(53, 14)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#cantidad de registros con un windspeed mayor a 0.6\n", + "bike_train[bike_train['windspeed']>0.6].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.004417034752896075" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#porcentaje de registros con un windspeed mayor a 0.6\n", + "#percent\n", + "bike_train[bike_train['windspeed']>0.6].shape[0]/bike_train.shape[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# graficar cnt por weathersit\n", + "plt.figure(figsize=(5,5))\n", + "sns.barplot(x='weathersit',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones:\n", + " * en buenas condiciones meteorologicas: despejado con algunas nubes o parcialmente nublado, se da el mayor número de alquileres.\n", + " * Con neblina el número desciende.\n", + " * En malas condiciones climáticas ( 3 y 4) los alquileres bajan aún mas." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#cnt con season\n", + "plt.figure(figsize=(5,5))\n", + "sns.barplot(x='season',y='cnt',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#cnt por mnth y yr\n", + "plt.figure(figsize=(20,5))\n", + "sns.barplot(x='mnth',y='cnt',hue='yr',data=bike_train)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones:\n", + "* A partir de marzo (inicio de la primaver en el hemisferio norte), empiezan a subir los alquileres de bicicleta.\n", + "* Desde Septiembre (inicio del otoño, inician a descender), los valores mas baos están en enero/febrero (plena temporada invernal)." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# season bike_train\n", + "plt.figure(figsize=(5,5))\n", + "sns.countplot(x='season',data=bike_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Observaciones:\n", + "* En **bike_test** se observa un patrón estacional similar, con subas en los meses cálidos (sobre todo primavera) y descenso en los meses fríos." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "season\n", + "1 3980\n", + "2 3645\n", + "3 2240\n", + "4 2134\n", + "dtype: int64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# bike_train agrupar por season\n", + "bike_train.groupby('season').size()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "season\n", + "1 262\n", + "2 764\n", + "3 2256\n", + "4 2098\n", + "dtype: int64" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "bike_test.groupby('season').size()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "\n", + "## Modelo de Machine Learning\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Pasar fechas a números\n", + "\n", + "En lugar de trabajar con fechas, se va a pasar a un número representativo, mediante la funcion **tordinal**." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
0734138101006010.240.290.810.016
1734138101106010.220.270.800.040
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" + ], + "text/plain": [ + " dteday season yr mnth hr holiday weekday workingday weathersit \\\n", + "0 734138 1 0 1 0 0 6 0 1 \n", + "1 734138 1 0 1 1 0 6 0 1 \n", + "2 734138 1 0 1 2 0 6 0 1 \n", + "3 734138 1 0 1 3 0 6 0 1 \n", + "4 734138 1 0 1 4 0 6 0 1 \n", + "\n", + " temp atemp hum windspeed cnt \n", + "0 0.24 0.29 0.81 0.0 16 \n", + "1 0.22 0.27 0.80 0.0 40 \n", + "2 0.22 0.27 0.80 0.0 32 \n", + "3 0.24 0.29 0.75 0.0 13 \n", + "4 0.24 0.29 0.75 0.0 1 " + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import datetime as dt\n", + "bike_train['dteday']=bike_train['dteday'].map(dt.datetime.toordinal)\n", + "bike_train.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " dteday season yr mnth hr holiday weekday workingday weathersit \\\n", + "0 734643 2 1 5 4 0 0 0 1 \n", + "1 734643 2 1 5 5 0 0 0 1 \n", + "2 734643 2 1 5 6 0 0 0 1 \n", + "3 734643 2 1 5 7 0 0 0 1 \n", + "4 734643 2 1 5 8 0 0 0 1 \n", + "\n", + " temp atemp hum windspeed \n", + "0 0.52 0.50 0.68 0.0896 \n", + "1 0.50 0.48 0.72 0.1045 \n", + "2 0.50 0.48 0.63 0.1343 \n", + "3 0.52 0.50 0.68 0.1940 \n", + "4 0.56 0.53 0.56 0.1642 " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#cambiar tambien de dteday a ordinal en bike_test\n", + "bike_test['dteday']=bike_test['dteday'].map(dt.datetime.toordinal)\n", + "bike_test.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "### Modelo Random Forest Classifier\n", + "\n", + "Un modelo Random Forest está formado por un conjunto (ensemble) de árboles de decisión individuales, cada uno entrenado con una muestra aleatoria extraída de los datos de entrenamiento originales mediante bootstrapping). Esto implica que cada árbol se entrena con unos datos ligeramente distintos." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [], + "source": [ + "# se importan los modelos a utilizar de la libreria sklearn\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.ensemble import RandomForestRegressor\n", + "from sklearn.linear_model import Lasso" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se crea el Data Frame con las características que se van a usar y el del target" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [], + "source": [ + "bike_features = bike_train[['dteday', 'season', 'yr', 'mnth', 'hr', 'holiday', 'weekday',\n", + " 'workingday', 'weathersit', 'temp', 'atemp', 'hum', 'windspeed']]\n", + "\n", + "bike_target = bike_train['cnt']" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se crea el dataframe de features que se va a utilizar y el de target." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "X = bike_features\n", + "y = bike_target" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se importa train_test_split y accuracy_score (sklearn) y se crea el grupo de entrenamiento y de prueba." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import accuracy_score\n", + "from sklearn.metrics import mean_squared_log_error\n", + "from sklearn.metrics import mean_absolute_error\n", + "from sklearn.metrics import mean_squared_error" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se instancia el modelo y se entrena." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestClassifier(n_estimators=200, n_jobs=-1, oob_score=True,\n",
+       "                       random_state=42)
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestClassifier(n_estimators=200, n_jobs=-1, oob_score=True,\n", + " random_state=42)" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clf = RandomForestClassifier(n_estimators=200, max_features='sqrt', n_jobs=-1, oob_score = True, random_state = 42)\n", + "clf.fit(X_train,y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se evalúa el desempeño del conjunto de prueba" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Accuracy score del grupo train 1.0\n", + "Accuracy score del grupo test 0.0225\n" + ] + } + ], + "source": [ + "y_train_pred = clf.predict(X_train)\n", + "y_test_pred = clf.predict(X_test)\n", + "print(\"Accuracy score del grupo train\", accuracy_score(y_train, y_train_pred))\n", + "print(\"Accuracy score del grupo test\", accuracy_score(y_test, y_test_pred))" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.0" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "clf.score(X_train,y_train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Error cuadrático medio logarítmico" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error cuadratico medio logaritmico: 0.6305929254718785\n" + ] + } + ], + "source": [ + "RMSLE = mean_squared_log_error(y_test, y_test_pred,squared=False)\n", + "print('Error cuadratico medio logaritmico: ', RMSLE) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Raíz del Error Cuadrático Medio (RMSE)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error cuadratico medio: 94.15338106869379\n" + ] + } + ], + "source": [ + "#calculo de la raiz cuadrada del error cuadratico medio\n", + "RMSE = mean_squared_error(y_test, y_test_pred,squared=False)\n", + "print('Error cuadratico medio: ', RMSE)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Valor del error medio" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "56.99472222222222" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mean_absolute_error(y_test, y_test_pred)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "### Modelo Random Forest Regressor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se crea el dataframe de features que se va a utilizar y el de target." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [], + "source": [ + "X = bike_features\n", + "y = bike_target" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se define el grupo de entrenamiento y de prueba." + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se instancia el modelo RandomForestRegressor y se entrena." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
RandomForestRegressor(random_state=42)
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On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "RandomForestRegressor(random_state=42)" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_RFR = RandomForestRegressor(n_estimators=100, random_state=42)\n", + "model_RFR.fit(X_train, y_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([148.03, 5.3 , 236.72, ..., 344.87, 184.06, 273.08])" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_RFR.predict(X_test) # Predictions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Rendimiento del modelo" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rendimiento del modelo: 0.9378316370836464\n" + ] + } + ], + "source": [ + "print('Rendimiento del modelo: ', model_RFR.score(X_test, y_test))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se predice los valores del entrenamiento con el conjunto de testeo y se guarda en una variable." + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "y_pred = model_RFR.predict(X_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se calcula el valor del error medio" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "22.257629166666664" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mean_absolute_error(y_test, y_pred)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se calcula el RMSE" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Raíz del Error Cuadrático Medio: 37.045433016432675\n" + ] + } + ], + "source": [ + "RMSE=mean_squared_error(y_test, y_pred, squared=False)\n", + "print('Raíz del Error Cuadrático Medio: ', RMSE) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se grafica el desempeño del modelo RandomForestRegressor " + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_180060\\2589949182.py:2: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", + " plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(y_test, y_pred, color='gray')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n", + "plt.legend(['Valores reales', 'Prediccion'])\n", + "plt.title('Desempeño del modelo Random Forest Regressor')\n", + "plt.xlabel('y_test')\n", + "plt.ylabel('y_test_pred')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "### Modelo Lasso Regressor" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se crea el Data Frame de Features que se utilizará y el target." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [], + "source": [ + "X = bike_features\n", + "y = bike_target" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se define el grupo de entrenamiento y de prueba.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "metadata": {}, + "outputs": [], + "source": [ + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se instancia el modelo." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], + "source": [ + "lasso = Lasso()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se entrena el modelo" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Lasso()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "Lasso()" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lasso.fit(X_train, y_train)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se predice los valores." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "predict = lasso.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.3575903560995196" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lasso.score(X_test, y_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Se predice los valores con el conjunto de testeo y se guarda en una variable. " + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [], + "source": [ + "y_pred = lasso.predict(X_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Raíz del Error Cuadrático Medio: 119.0847052071349\n" + ] + } + ], + "source": [ + "# calcular el RMSE\n", + "RMSE=mean_squared_error(y_test, y_pred, squared=False)\n", + "print('Raíz del Error Cuadrático Medio: ', RMSE)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "89.43205453316729" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#vamos a calcular el valor del error medio\n", + "mean_absolute_error(y_test, y_pred)" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_180060\\458809994.py:3: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", + " plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#graficamos el desempeño del modelo de regresion Lasso \n", + "plt.scatter(y_test, y_pred, color='grey')\n", + "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n", + "plt.legend(['Valores reales', 'Prediccion'])\n", + "plt.title('Desempeño del modelo Lasso')\n", + "plt.xlabel('y_test')\n", + "plt.ylabel('y_test_pred')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "![separator2](https://i.imgur.com/4gX5WFr.png)\n", + "\n", + "### Se prueba el mejor modelo Random Forest Regressor con el Dataset de Testeo: bike_test." + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [], + "source": [ + "df_resultado = model_RFR.predict(bike_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [], + "source": [ + "criszam99 = pd.DataFrame(df_resultado)" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [], + "source": [ + "criszam99.to_csv('./criszam99.csv',index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "#agregar nombre de columna al archivo criszam99\n", + "criszam99.columns = ['pred']\n", + "criszam99.to_csv('./criszam99.csv',index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.10.6 64-bit", + "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": "3.10.6" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "d46546ac027097ea23ecdc50871ac50fa2b04e00bab4da596875593c6ed971e7" + } + } + }, + "nbformat": 4, + 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criszam99.csv | 10644 ++++++++++++++++++++++++------------------------ 2 files changed, 5343 insertions(+), 5336 deletions(-) diff --git a/Data.ipynb b/Data.ipynb index 6815775..7280baf 100644 --- a/Data.ipynb +++ b/Data.ipynb @@ -2274,7 +2274,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2306,7 +2306,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -2350,7 +2350,7 @@ "outputs": [ { "data": { - "image/png": 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" ] @@ -2383,7 +2383,7 @@ "outputs": [ { "data": { - "image/png": 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FUVNTE0OHDm237OjRo2PBggX5Zdo2Wlpfb32tkKVLl8bSpUvz/79o0aLeGgZAtx2xX3W5U2AdNeXgfvM1AAAAAGCN1m/OssyePTt+97vfxa9+9as+/10XXnhhnHvuuX3+ewBgVXUDC08DAACd8zwxAPq7ftFsOfnkk+POO++MX/ziFzF+/Pj8/DFjxsSyZcvirbfeand1S2NjY4wZMya/zJNPPtkuXuv9pVuXWdWZZ54Zp556av7/Fy1aFBMmTOit4QDQjwysLzxdLnse1C8+eumHDrjjiA7zljX/PT/d2NxUcJmIiJ9Nv7nP8gIA6A88TwyA/q6sZ3xSSvGZz3wmbr/99nj44Ydjo402avf6zjvvHNXV1fHggw/GzJkzIyLipZdeitdeey2mTp0aERFTp06Nr33ta7Fw4cIYNWpURETcf//90dDQEJMmTSr4e2tra6O2trYPR8a6bOiAXMFpoDw+dEBluVMAIKODbr22w7wlzYvz0wubFxdc5s6Zx/VpXtBT/hIfAGDdUdZmy+zZs+OGG26IO+64IwYPHpx/xsqQIUNiwIABMWTIkDj++OPj1FNPjeHDh0dDQ0N85jOfialTp8Zuu+0WERH77bdfTJo0KY4++ui4+OKLY8GCBXHWWWfF7NmzNVQoizM+4L5AnWlo8/D3Bg+Ch7VCbX3haVhbTbvt3zvMW9L8f8//a2xeVHCZu2Z8vk/zYu130I9v6TBvSfO7+emFze8WXObOww7v07zomr/EBwBYd5S12XLllVdGRMQHP/jBdvOvvfbaOPbYYyMi4pJLLomKioqYOXNmLF26NPbff/+44oor8stWVlbGnXfeGSeddFJMnTo16uvrY9asWXHeeeetrmEAGX1qHw1QWNvsNL1/3Ratuj4XEanNNHQtN6jufyvmn9MAAADQE2W/jVgxdXV1cfnll8fll1/e6TITJ06Mu+++uzdTAwDWQJvN6D/Nn9ygXFT872n83KDyNn76021scoNq2jQ3anocp7fGVDNzlx7nAAAAAK36zxkJAIC1SMPh/edrVn+6jU3NYdv0Spz+NKbe0p+aYgCwNvJZC0Bf6j9nAQAAYB2mgQQAfWtt/KwFoP/QbAGg19UPLDwNQO+ZdlvH2+wuaX4nP93Y/E7BZe6aMbtP82rLSS0AAGBdodkCQK876MM+XvpSXX3haXpH1aBcxP8+VaSqzM9aAQD6py/c/tcO8/7R3NJuutAy3zh0fJ/mBQCUj7NhALCG2eMgH999af2Ztm9neuvh9rAuOejHN3WYt6T53fz0wuZ3Cy5z52FH9mle/VWuflDB6XXJjFt/1WHeoual+emFzUsLLnPbzPf1aV7QU24pCcC6wtkEAAAyqTlss3KnAPRTvXUydcCh62aTaXVx0rsw26VvuaUkAOsKzRYAAFiHTbv1Ox3mdXj2S4Fl7pr5L32aF2sWJ1PXDL3xPq2NjQn1CwD0Bs0WAKDsats8J6XWc1KAfuCgH/+ww7yOt//quExExJ2HHdVnebH6rI1Nhd6gMQEAUJhmCwBQdlsf4isJ0LecOKe7NBUAAOgOZzZgLTd0QK7gNADAusSJcwAAoC9ptsBa7jN7DSh3CgD0UG5Qxf/eXO2f0wAA0JYrNwH6D80WAIB+qvrwoeVOgQxyg+raNMXqypoL65Zc/aCC07AmcIIYeocrNwH6D80WAAAoQe2MqeVOgXVU7aGHlDsF6DEniKF/0QAFKJ1mC2sFXwoAANZOufqBBaehvzn01oc7zHuneUl+emHzkoLL3D7zg32XFKyhfnTr3zrMe7d5ZbvpQst8dOZ6fZrX2qw3GqDOzQDrOs0W1gr+KgoAYO1UO2P/cqcAAGTg3AywrtNsAQAAYK3hL6sBACgHzRYAgLXIAXec2GHesuY389ONzW8WXOZn06/q07wAVhd/WQ1ERNxxS8fbjDW/u7LddKFlph/uVmQA9IxmCwAA/dqBt5/XYd7S5rfy043NbxVc5u5Dv9KXaQFQZmvjVUxr45gAYF2h2QIAAKvZtNs6njxb0rwoP93YvKjgMnfNmNNl3NygAZHaTANrh4r6hljZZpp/WhuvYlobxwQA6wrNFgAAWEvUztiz3CkAfWDQjOPLnQIAAEVotgAAAO3k6gf+3xUy9QMzrTPt1u91mLekeXF+urF5ccFl7pr5/3qUIwAAQH+i2QIAALRTO2PvcqewVsvV1xecBgBgzdE499EO81oWLW03XWiZ0XP26NO8KB/NFgAAgNWo9tCDy51Cnodxw9rJv20AWP00WwAAANZRPXkY98E/vqPDvObm5vz0wubmgsv812HTu58g0CM9+bfdG/7ztqYO8xY3t7SbLrTMMTNG9mleUG4aoLBu0GwBAADWKgf9+D87zGv7/JiFzYsLLnPnYcf0aV7A2q160LCC09BbfvH9jo2qJYtb2k0XWuYDR2tmlVu5GqDA6qXZAgAAkEGufmDBaWDNMeu2v3SY97fmFe2mCy1z/YyJRWNvPvOs0pIDANZomi0AAAAZ1B56ULlTgMxm3vpEh3lvN//fQ3sXNi8tuMytM6f0ei6H3/q7DvPeal6en25qXl5wmVtmbtPruQARj1/f8eqXpW2ukFm6uKXgMrvNcoUMQFc0WwAAAFinHfLjBzrMW9y8JD+9sHlJwWV+cti+fZoXAABrDs0WAAAA6AMV9Q2xss30muawW5/pMO/t5mX56abmZQWX+fHMnfo0LwCA/kizBQAAAPpA/Yxjy50CrDUG1Q8vOA0A/YVmCwAAAAD92vQZ55U7Bdp4+uqFHeYta/Pcl2WLWwous/Pxo/o0L4By0mwBAABgjTT9x/d0mPdu83v56YXN7xVc5o7DPtyneQH906BBwwtOA0Bv0GwBAFjL5QZVRWozDQBrmiNu/VOHeX9vXp6fbmpeXnCZm2du1qd5sWY5/BBXxwDQdxxtAwCs5aoPn1DuFMggN2hAm6bYgLLmAgAREXPmzImmpqaIiBg5cmTMnTu3zBkBQP+l2QIAwBonN6i2TWOitqy59JbaGe8rdwoArEbn3/5Gh3lvNbe0my60zJcPHdenebXV1NQUjY2Nq+33wdrgr/++oMO8lkUt7aYLLTP+82P6NC+g72m2AACwxqmZuWO5UwAAAIA8zRYAAKBP5Orb3Bqt3q3RAIA1i1vpAd2h2QIAAPSJ2hkfKncKebn6+oLT65KP/Pi2DvPea27OTy9sbi64zE8Pm9GneQGlueT2jrcjWtTmdmSLmlsKLvO5Q92yCIpxKz2gOzRbAACAtV7toQeUOwUA6HUN9SMKTgOw+mm2AAAAAMAa6JMHntsrcYYMHFFwGoDsNFsAAAAoSa5+UMFpANYMJxzQO00bgHWZZgsAAAAlGXDo4eVOgTVMRf2QgtMAFDZnzpxoamqKiIiRI0fG3Llzy5zR2sc2plSaLQAAAMBq1TDjlHKnwGpSP2hEwWmge5qamqKxsbHcaazVbGNKpdkCbQwfUFFwGgAAAOi+A2a4PRUA6wbNFmjjSx9Yr9wpAAAAAACwhtFsAQAAgFVU1A+OlW2m6X8q6ocVnO6uykHDCk4D9JZhdcMLTgNrF80WAAAA1hq5No2RXAlNkoGHHt0b6fQrFfVD2jSQ1vyH0g+dcVqvxBk14197JQ5019r2MO4hA0cUnCbirKlnlzuFvLWt7uifFl5+Z4d5Le+812660DKjZh/Up3n1Nc0WAAAA1hoDD/14uVPotwbP+JeSY+Tqh0RFm2mg59a2h3F/+kPnlDsFMljb6g76E80WAAAAIJOGGbPLnQJ94Du3LSw4/53mlnbThZb7lxmj+iwvAFiTaLYAAACso3L1gwpOA+VRO2h4wWmg+9wua93hvaa/0GwBAABYR9UdOqPcKQBt7DTzy70Sp65No6ZO04Z1lNtlrTu81/QXmi0AAAAAa5E9Zvafh3HDmuKVby3oMG/FopZ204WW2fizY/o0L2DNUVF8EQAAAAAAADqj2QIAAAAAAFACzRYAAAAAAIASaLYAAAAAAACUQLMFAAAAAACgBJotAAAAAAAAJdBsAQAAAAAAKEFVuROgc01XfadH64088V96ORMAAAAAgPJqvPSZDvNaFi1rN11omdGn7NSneUFEma9s+cUvfhEf+chHYty4cZHL5eInP/lJu9dTSvGVr3wlxo4dGwMGDIh99903/vSnP7Vb5u9//3scddRR0dDQEEOHDo3jjz8+Fi9evBpHAQAAAACde/CGpg4/S95tyb++5N2WgssAsOYo65Ut7777bmy//fbxyU9+MmbMmNHh9Ysvvji+9a1vxfXXXx8bbbRRfPnLX479998/Xnzxxairq4uIiKOOOirmz58f999/fyxfvjyOO+64OOGEE+KGG25Y3cMBAAAAWGsMHDSi4DTQt+Zf/NcO81rebmk3XWiZiIixp4/vs7yArpW12XLAAQfEAQccUPC1lFJceumlcdZZZ8X06dMjIuI///M/Y/To0fGTn/wkjjzyyPj9738f99xzTzz11FMxefLkiIi47LLL4sADD4xvfOMbMW7cuNU2FgAAAIC1yd4zzil3CpDJH65o7DBv+Tst7aYLLbPlp0f3aV70X42XPtlhXsuipe2mCy0z+pRd+zQv1mz99pktr776aixYsCD23Xff/LwhQ4bElClTYt68eXHkkUfGvHnzYujQoflGS0TEvvvuGxUVFfHEE0/EoYceWjD20qVLY+nS//vHs2jRor4bCAAAAAAArIHmzJkTTU3/vK3hyJEjY+7cuWXOqP/qt82WBQsWRETE6NHtO8yjR4/Ov7ZgwYIYNWpUu9erqqpi+PDh+WUKufDCC+Pcc8/t5YwBAAAAgLXFsAHDC07DuqSpqSkaGzteGUZH/bbZ0pfOPPPMOPXUU/P/v2jRopgwYUIZMwIAAAAA+pMz3n92uVMA1iAV5U6gM2PGjImI6NA1a2xszL82ZsyYWLhwYbvXV6xYEX//+9/zyxRSW1sbDQ0N7X4AAAAAAAB6ot82WzbaaKMYM2ZMPPjgg/l5ixYtiieeeCKmTp0aERFTp06Nt956K55++un8Mj//+c9j5cqVMWXKlNWeMwAAAAAAq8/wuiGx3oBhsd6AYTG8bki502EdVtbbiC1evDhefvnl/P+/+uqr8dxzz8Xw4cNjgw02iFNOOSW++tWvxmabbRYbbbRRfPnLX45x48bFIYccEhERW221VXz4wx+OT33qU3HVVVfF8uXL4+STT44jjzwyxo0bV6ZRAQAAALC28rBo6F/Oed/scqcAEVHmZsuvf/3r2GuvvfL/3/oclVmzZsV1110Xp59+erz77rtxwgknxFtvvRXve9/74p577om6urr8Oj/84Q/j5JNPjn322ScqKipi5syZ8a1vfWu1jwUAAACAtZ+HRQN9TVN3zVTWZssHP/jBSCl1+noul4vzzjsvzjvvvE6XGT58eNxwww19kR4AAAAAAKxWmrprprI2WwAAAABgXTS4fkTBaVhXuHqDtY1mCwAAAACsZsccdG65U4CycvVG/7Pw2/d0mNfyznvtpgstM+rkD/dpXmuKinInAAAAAAAAsCZzZQsAAAAAsFYZOmB4wWl6h1uAQUeaLQAAAADAWuXzHzyn3Cms1dwCDDpyGzEAAAAAAIASaLYAAAAAAACUwG3EAAAAAABYpw2vG1JwGrLSbAEAAAAA6MeG1w0rOE3vOed9J5Y7BVaTOXPmRFNTU0REjBw5MubOndsrcTVb+kDTldf2aL2RJx3Xy5kAAAAAAGu6r0w5q9wplGTBN5/vMK9l0bJ204WWGXPqtn2aF8WNqBtccHpN1tTUFI2Njb0eV7MFAAAAAAr42c1/6zDvvXdXtpsutMwBR6zXp3kBa4/Gbz3SYV7LoiXtpgstM/qze/ZpXq3O2fPjq+X3rA00WwAAAACAfqGvbu8D6xr/llY/zRbWOG9cfkqHeS3v/L3ddKFlxs2+tO+SAgAAAKBkfXV7H1jX+Le0+lWUOwEAAAAAAIA1mStbAAAAAACgRMMHNBScZt2g2QIAAAAAACU6533/r9wpUEaaLQAAAAAArFbD64YWnIY1lWYLAAAAAACr1dm7zyl3CtCrNFsAAAAAAIC1zsIrftRhXss777abLrTMqE9/tNu/S7MFAAAAAICCFvz7HzrMa1m0vN10oWXGfH7LPs2LtdvCy2/v0XqjZh/ay5lkV1G23wwAAAAAALAWcGULAAAAAAD0E8MHNBSc7szCyx7oMK9l0ZJ204WWGfWZfXuYIYVotgAAAABARoPrhxechv5mwTde6TCvZdGKdtOFlhnzhY37NC+KO+f9x5U7BXpAswUAAAAAMvrY9PPKncJa47f/sbDDvGXvtLSbLrTMdieM6tO8AHrCM1sAAAAAAABKoNkCAAAAAABQArcRAwAAAAAA1gkjBgwqOF0qzRYAAAAAAGCdcM4Hp/dJXLcRAwAAAAAAKIErWwAAAAAAYC0yYsDggtP0Hc0WAAAAAABYi5zzgaPLncI6x23EAAAAAAAASqDZAgAAAAAAUAK3EQMAAAAA+oWhA0cUnAbo7zRbipgzZ040NTVFRMTIkSNj7ty5Zc4IAAAAANZOn93nnHKnQAbD64YWnIZ1mWZLEU1NTdHY2FjuNAAAAAAA+oWzp36+3ClAv+OZLQAAAAAAACXQbAEAAAAAACiBZgsAAAAAAEAJNFsAAAAAAABKUFXuBGDOnDnR1NQUEREjR46MuXPnljkjAAAAAADITrOFsmtqaorGxsZypwEAAAAAAD3iNmIAAAAAAAAlcGXLWm7hVT27JdeoE+f0ciYAAAAAALB20mxp42/fuzmWDhjQbl7LO++2m2668gcF1x150if6NDcAAAAAAKB/0mwBAAAAAAD6zIgBgwpOr000WwAAAAAAgD5zzp5HlDuFPldR7gQAAAAAAADWZJotAAAAAAAAJdBsAQAAAAAAKIFntrDazL/iywXnt7zzVrvpQsuN/fT5fZUWAAAAAACUxJUtAAAAAAAAJXBlSxEjBgwsOL2uabzyoh6tN/qkL/ZyJgAAAAAA0L9othRx7l7Typ0CAAAAAADQj7mNGAAAAAAAQAk0WwAAAAAAAEqg2QIAAAAAAFACzRYAAAAAAIASaLYAAAAAAACUYK1ptlx++eWx4YYbRl1dXUyZMiWefPLJcqcEAAAAAACsA9aKZsvNN98cp556apx99tnxzDPPxPbbbx/7779/LFy4sNypkcHwATWx3sDaWG9gbQwfUFPudAAAAAAAoFuqyp1Ab/jmN78Zn/rUp+K4446LiIirrroq7rrrrrjmmmvii1/8Ypmzo5ivfHDbcqcAAAAAAGu94XXDCk4DpVvjmy3Lli2Lp59+Os4888z8vIqKith3331j3rx5ZcwMAAAAAKD/OHu3M8qdAqy11vhmy9/+9rdoaWmJ0aNHt5s/evTo+MMf/lBwnaVLl8bSpUvz///2229HRMQ7S97rcR61ixblp995r2dx2sborTjvvLekRzHqOuTSszgD2uWytIslu1ZfJM6gqojl1bn8dKFlFnUY0/Ie5bKoXS6lx4iIWNyP4vRWLu/2QpzeiNHf4jS/t6JXcumNOD2N0VtxVh3Te70Qpzdi9Gqc5tLjLOmFGL0Vp7dyWdqP4izrpVyW90KcFc0928d0jLOs5BgREcube/a53TZOb8T4Z5yefQ/pizj9K5eefVfsmEv/idO/cmnuUYzeitNxTKXHWRty6Rjn3ZJj9Fac/pRLb8VZ3ry4l3IpPU5v5bKs+Z1eibO0F+Is6aVceh5nYH76vR7G+GecupLjLFpU2+7/m3sc5/9uTd4bMXozzru9sG3efa93tm9vxFnc4xh17f6//HEG5KffWVL6v6XeitPTGBGrnEPrYZyBq55DW9KzffDAdrmUHqOUOAP6IM47S3r2Wdsxl9LjvPNez2J0PAfcW3F69l2vrt2YSo9RapzWz9yUUqZ1cinrkv3UG2+8Eeuvv3489thjMXXq1Pz8008/PR555JF44oknOqxzzjnnxLnnnrs60wQAAAAAANYwr7/+eowfP77ocmv8lS3rrbdeVFZWRmNjY7v5jY2NMWbMmILrnHnmmXHqqafm/3/lypXx97//PUaMGBG5XK7D8osWLYoJEybE66+/Hg0NDT3OtT/F6U+59FYcufRtHLn0bZz+lEtvxZFL38aRS9/GkUvfxulPufRWHLn0bRy59G2c/pRLb8WRS9/GkUvfxulPufRWHLn0bRy59G0cufRtnP6US2/FkUvfxlmduaSU4p133olx48ZlirnGN1tqampi5513jgcffDAOOeSQiPhn8+TBBx+Mk08+ueA6tbW1UVvb/hLKoUOHFv1dDQ0NJb2B/TFOf8qlt+LIpW/jyKVv4/SnXHorjlz6No5c+jaOXPo2Tn/KpbfiyKVv48ilb+P0p1x6K45c+jaOXPo2Tn/KpbfiyKVv48ilb+PIpW/j9KdceiuOXPo2zurKZciQIZljrfHNloiIU089NWbNmhWTJ0+OXXfdNS699NJ4991347jjjit3agAAAAAAwFpurWi2HHHEEdHU1BRf+cpXYsGCBbHDDjvEPffcE6NHjy53agAAAAAAwFpurWi2REScfPLJnd42rFS1tbVx9tlnd7j12Jocpz/l0ltx5NK3ceTSt3H6Uy69FUcufRtHLn0bRy59G6c/5dJbceTSt3Hk0rdx+lMuvRVHLn0bRy59G6c/5dJbceTSt3Hk0rdx5NK3cfpTLr0VRy59G6c/5bKqXEop9Vo0AAAAAACAdUxFuRMAAAAAAABYk2m2AAAAAAAAlECzBQAAAAAAoASaLQAAAAAAACXQbPlfl19+eWy44YZRV1cXU6ZMiSeffLLL5W+55ZbYcssto7q6OmpqaqKmpqZb69XV1cW2224bd999d7vXFy9eHCeffHIMHTo0crlcVFRUxEYbbdRl3BdeeCFmzpwZI0aMiFwuF9XV1UVzaV1nww03jFwuF5deemmH7TBhwoTYaqutYvDgwTFq1Kg45JBD4qWXXioao22c6urqGDhwYNTX10dDQ0NMnTo1fvazn2XKZdV8Wsd00UUXRS6Xi1NOOaXbYxo/fnzkcrl2P1tuuWW3c9lxxx3jwx/+cIwYMSIGDBgQ2267bfz617/uVi61tbUdcsnlcjF79uxu5bL++uvHuHHjYsCAAbHJJpvE+eefHymlTGNq9c4778Qpp5wSw4cPz9fdNtts02UNffe73433v//9MXDgwKioqIjKysrM6wwbNiyGDRsW++67b3751jHV1NTEkCFDYsiQIZHL5eK5557rUZyqqqoYOHBg1NXVxbhx4+KYY46JN954I1OcVWtm4sSJUV9fn1/miSee6FYubev3xBNPLPg+ZMll5MiRHerlwx/+cLdz2W677eL9739/DBkyJOrr62OXXXaJ1157rVtxCtVuLpeLf/u3f+vWmHbZZZc4/PDDY/z48TFgwICYNGlSXHXVVZlyadXY2BjHHntsDBkyJF+L22+/fZe1eNttt8XkyZNjwIABUVFRERUVFbHJJptkWmfo0KFRX18fO+ywQ3z/+99vt12y1G+WOFnqt7M43anfLLlkqd8scSorK7us36xjmjJlStx8881x8MEHF6zhLLlkqd8suRSr365yadWT+m3rk5/8ZORyuaisrMz0PaTVTTfdFLlcLg455JB2Y9p8881jypQp+e8UhWq4UIy22zdL/WbJpVj9ZsklS/1miZOlfrOMqVj9ZsklS/1m3TajR4+OUaNGFazfYnFa9aSGr7vuug75V1RUdHudurq6btVvZzHabpcs9Zs1zoABA6Kurq7T+s0yprb/rgvVcJZcstRv1ly6qt8suWSp3yxxstRvV3Fa9XQf/NZbb8UHPvCB/Latq6uLSy65pOg6s2fPjrFjx0ZtbW1svvnm8elPfzo/nkmTJsX73ve+GDduXORyufjJT36SKcbdd9/d7thr0KBBMXDgwILHb92JU+wYLsuY2tZvZ8dwxXKpqqrq8vgta5wsx3BZxlTsGC5rLsWO4bqK06onx3Af/OAHC+a/xx57dHudadOmdes7cGdxtt566/x2GTduXGyyySZRX19fcB+cJZcs+98scbJ8h8gypmLHcFlzKXYMlyWXYvvgrLkU2/92FadVT/e/l156aYwePTofc8yYMfHLX/6y6DpbbLFFDBgwICZMmBCf+9znYsmSJfkx1dbWxrBhw2K99dbrdP/bWZxLL7008zm0LLlk3f8Wi5PlHFqWMRU7h5Y1lyz732K5ZNn/Zskly/63sziterL/Xb58eZx33nn5OquoqIgtt9wy0zqbbLJJ1NXVxfbbbx/33HNPRES3PvuzxilWe53F6ey7a6Hay5JLlprpKk6rMWPGFK2ZVT388MOx0047RW1tbWy66aZx3XXXdbpspxLppptuSjU1Nemaa65JL7zwQvrUpz6Vhg4dmhobGwsu/+ijj6bKysr08Y9/PFVXV6eDDjooVVVVpZkzZ2Za7+KLL04vvvhiOuuss1J1dXV6/vnn88t86lOfSqNHj07V1dXp4osvTmeffXbK5XKpvr6+07hPPvlkPoeGhoZ0xhlnFB3Dk08+mb7whS+kG2+8MY0ZMyZdcsklHbbD+PHj08CBA9MjjzySnnvuuXTggQemDTbYIC1evLjTGKtuz29/+9tp//33Tw0NDemxxx5L//qv/5qqq6vT7373uy5z6ex9GTx4cJowYULabrvt0pw5c7o9pp122ilVVFSk559/Ps2fPz/Nnz8/NTU1dSuXxx57LA0aNCjV1NSkn/3sZ+mVV15J9957b3r55Ze7lcvRRx+dhgwZks/l/vvvTxGRHnroocy5zJkzJ9XW1qb6+vr01FNPpVtuuSUNGjQozZ07t+iY2vroRz+a1l9//VRdXZ0uvPDC9OlPfzpVV1enIUOGdFpDH//4x9MnP/nJVF1dnb72ta+lQw45JNM6l19+eXr22WfT73//+3TsscemIUOGpCuuuCI/pgsvvDDtvPPOaeDAgSki0rPPPtvtON/+9rfTbrvtlvbZZ5/U0NCQ7rrrrrTrrrumnXfeuWicAQMGtHuf9tprrzRo0KD0xBNPpN/97nfp+OOPTw0NDWnhwoWZx9Rav/X19WnSpElp3LhxHd6HLLlsttlmqaqqql39/v3vf+/W9v3Zz36WamtrU21tbXrggQfSyy+/nO64445271mWOA8//HA66qij8jV8zTXXpFwul/785z93a0xbbrllqqioSLfddlt69dVX03e+851UWVmZ7rjjji5z+etf/5pSSmnlypVpt912S1tuuWW+Fg8//PBUX1/f5T7woYceSqeeemqqrq5OF110UfriF7+YcrlcGjRoUJfr3HbbbenFF19ML7/8crr00ktTZWVlOvPMM7tVv8XiZK3fQnFyuVyqrq7OXL9ZxpSlfrPEmT59eho/fny7/V7b+s06piOOOCLlcrn06U9/Oj3zzDMdajhLLlnqN0suxeq3s1zuueeekuq31WWXXZYiIm222WZpr732KvrZ3+rVV19N66+/fnr/+9+fJk+e3O69/uAHP5jq6urSv//7v3daw6vGmD59ev6zKWv9ZsmlWP0WyyVr/WaJk6V+s4ypWP1mySVL/WaJc9hhh6XBgwenQYMGpaeeeqpD/XYVp1VPa/jaa6/Nfx5ccskl6eGHH06f+MQniq7T0NCQ//ybP39+uuqqq7pVv4ViLFiwoNv1WyzONddck77+9a+nAw88MDU0NKRHHnmkYP1mGVPrv+trrrkmbb/99h1qOEsuWeo3Sy7F6jdLLlnqN0ucLPXbWZxS63fp0qVp4403ThUVFenMM89M9913XzrooIPS4MGDu1xn8uTJ6cADD0y/+tWv0quvvpq+8pWvtPtM+fCHP5zq6urSNddckyIi3X777UVjPPzww+nrX/96frvsscceac8990wNDQ3p5z//eYfjt6xxshzDZRlTa/3ec889acMNN+xwDJcll09/+tNp2LBh7eq37fFb1jhZjuGyjKnYMVyWXLIcw3UW57nnnssv05NjuDfffDP/b/uSSy5Jd9xxR8rlcmngwIFdrtP239Hvfve7VFlZmU488cRufQcuFCeXy6Wqqqp0zTXXpMcffzytv/76qb6+Pj366KNp3rx5HfbBWXLJsv/NEifLd4hiY8pyDJcllyzHcFlyabv/nT9/fod9cJZcsux/O4tz7bXXppR6vv/94Q9/mKqqqlJVVVW6+OKL03/8x3+kAQMGpNra2i7Xqa2tTT/84Q/Tq6++mu699940duzYdOCBB+bHdNVVV6Uddtgh1dfXF9z/dhZn6NChqbKyMvM5tCy5ZNn/ZomT5RxaljEVO4eWJZcs+98suRTb/2bJJcv+t7M4n/vc5/LL9GT/e/rpp6dhw4alqqqq9PWvfz19+ctfTpWVlV1+fzj99NPTuHHj0l133ZX+/Oc/pyuuuCLV1dWlCy+8sFuf/VniZKm9QnGqq6u79dmfJZcsNdNZnGeeeSa/zI033pjmzJmTrr766hQR6ZxzzmlXM6t65ZVX0sCBA9Opp56aXnzxxXTZZZe1O37PSrMlpbTrrrum2bNn5/+/paUljRs3Ll144YUFl//oRz+apk2b1m69KVOmpBNOOCHTem1NmTIl/cu//Ev+/7feeuu0/vrrt8tnxx13TIMGDeo0btsxTJw4MV1yySVFx9BW6zrFtsPChQtTRKRHHnmk0xhtc+kszrBhw9L3vve9LnMpFOftt99OlZWV6fjjj0977rlnhw+KLGP6yle+kqqqqrq1XVbN5Ywzzkh77LFHr2/fOXPmpE022SStXLkycy7Tpk1Lxx13XLs4M2bMSEcddVTRMbVqbm5OlZWVafPNN+9x3aWU0ooVK9KgQYPS0KFDM22X1nUGDx6cNt544w7bZvTo0V2e6Msap3XbPPnkkyki0l/+8pcu41RUVKR99tmnYIyU/lmHEZEeeOCBbuXy2muvpYqKinTKKacUfB+y5HLMMcfkP4SyKJTLEUcckY466qjM9dvVmNpum+nTp6e9996722OaNGlSGjx4cLtcdtppp/SlL32py1yuv/76lFJKL730UoqItO222+Zza2lpSeutt17RWlz13+QOO+zQIZdidtxxxzRu3LiS6rerON2p35RSGjhwYJo8eXLBGCkVr9/Oculu/RaKM2vWrHTwwQd3q/YKjemjH/1oGjBgQK+8T92p30K5dLd+W3M566yzUkql1W/rPnevvfZKs2bNStOnT8/02b9ixYq0++67p+9973tp1qxZaejQoQW3y+mnn95pDa8aY/r06V1+xnVWv1lz6ap+s+SSpX6Lxclav8XGlKV+u7t9O6vfYnG23nrrdM4557QbU6H6LRSnVU9r+Nprr02VlZXd+v597bXXpiFDhrSb19l26ax+C8XoKk5n9duTOIXqN+uYRo8enRoaGtLvfve7DjWcJZcs9Zsll2L125PtUqh+s8TJUr+dxWnV0/q98sorU21tbTrppJMKjqmzdTbeeOO0bNmyTNul0Mm+QjGKxSl0/NaTOCl1PIbLOqaxY8emESNGpPvvv7/DMVyWXM4+++y03XbbdXv7rhonyzFcd9+nlDoew2XJJcsxXGdxWvXWMdwll1ySBg0alMaOHZv5u9Ull1ySBg8enCZPnlzSd+BLLrkkVVRUpBNOOKFdjLbbpdh34K5y6Wr/mzVOd78DFxpTd4/hCuXSk2O4LNu32HfgQrlk/f5QKE7ryd+e7n9nz56dGhoa2r1Hn/vc51JNTU2X66w6xlNPPTUNGjSoYM101mwpFGfMmDFpzJgxHWJ0dg6tu7l0tv/NGqfYObQsYyp2Di1LLln2vz3Zvqvuf7PkkmX/21mcPfbYI6XU8/3v2LFj08SJE9utc+ihh3b53Wrs2LHp29/+drt5M2bMSCNGjOjWZ39P4qTUsfYKxRk2bFjafPPN28Xo6rM/Sy5ZaqazOJ2dD42IdNBBB3V63jWlfzZwtt5663bzjjjiiLT//vsXXL4z6/xtxJYtWxZPP/107Lvvvvl5FRUVse+++8a8efMKrjNv3rz44Ac/2G69/fffPx5//PGi67X9Pa3rtV1+ypQp8T//8z+x4447RkopHnroofjTn/4Ue+yxR6dxezKGVa1YsaJojLfffjsiIoYPH95pnK5yeeyxx+Kmm26Kd999N6ZOndplPoXifOYzn4nNN988mpqaejymXC4XKaU455xzYuONN46jjjqq4K07usrlv/7rv2KXXXaJ6urqOPvss2PHHXeM7373u93Ope32XbZsWfzgBz/I3w4may677757/PznP49dd9015s2bF7/5zW/iV7/6VRxwwAFFt0/b3FpaWuLll19ul1/r5YNZ6665uTlWrFgRO+20U+a6a25ujmXLlsV///d/d9g2XV3K3p04rdv47bffjlwuF0OHDu00zltvvRUrV66MKVOmFIyxbNmy+I//+I8YMmRIbL/99plzWblyZcyaNSt23nnneOWVVzKNqVAuuVwuWlpa4uyzz44tttgiTjrppHjzzTczb5eVK1fGXXfdFVtssUWklOLss8+OKVOmdHqZdFdjarttHn744bjrrrvi+OOP7/aY9thjj6ipqYmHHnoov8/74x//GPvtt1+nuSxfvjy/H1q6dGlERLz44ov53CoqKqKuri5GjBiRqX5TSvHggw/GH//4x5gyZUqm+m1d5w9/+EMsWLCgx/VbLE7W+k0pxT333BPNzc3tLs/vTv12lkt367erMT3yyCPx5ptvxle/+tWi9VtoTCtXroy77747tthii/jmN78Zo0aN6rKGs2zfLPXb2fbtTv225vLSSy/FBz7wgYjoef1GRJx99tnx7rvvxmc/+9kOY+pqvfPOOy9GjRoVxx9/fLS0tMTbb79dcLs888wzmWJE/PN96eozrrP6zZpLV/VbLJes9ZtlTFnqt6sxZa3f7mzfruq3WJzdd9897rzzzth9991j3rx5ndbvqnHa6mkNt373uPnmm2PChAkxffr0+P3vf1+0fhcvXhwTJ06MCRMmxEc+8pFOt0tX9ds2xvTp0+O5557rUf12J86jjz7a6f632Jgi/vn5v8EGG8TWW2/d4zFlqd+ucslav93ZLl3Vb7E4Wet31TgvvPBC/rWe1u9PfvKTWLZsWbz88ssxevTo2GabbeKiiy6KffbZp9N1/uu//iumTp0as2fPjtGjR8ekSZPi17/+dey9994dtkvWGNtss02cd955Res3ov3xW3fjdHYMl3VMAwYMiCFDhnSo6+7k8vLLL8c//vGPOP/88wsev2WJk+UYrrvvU6FjuCy5ZDmGKxTnggsuiJaWlojovWO4q6++Oj72sY/Fhz70oczHcFdffXUcfvjh8eyzz5Z0DPfd7343Ukrtxl3oHERX34G7yqXY/rdYnJ4cwxUaU3eP4VbNpafHcMW2b2NjY9HvwIW2S9b976pxjjzyyKivr4+Inu9/d91111i0aFFMnDgxIiJeeeWV+NnPfhZbb711p+vsvvvu8fTTT+dva/TKK6/EXXfdFc3NzQVrpjOrxmk9vthnn306xOjsHFp3c+ls/5s1TrFzaFnGVOwcWpZcsux/u7t9C+1/s+SSZf9bKM7dd98dBx54YET0fP+7ZMmSeP311zusU1FR0ek6S5cu7XAL1JqamnjzzTe79dnf3Tid1d6qcZYtWxZvvfVW/OMf/2gXo6vP/iy5ZKmZQnEGDBgQv/rVrzr8zlaPPPJIl+dds5y3z6RbrZm10P/8z/+kiEiPPfZYu/mnnXZa2nXXXQuuU11dnS6//PJ2611++eVp1KhRRde74YYb2s1rXa/VK6+8kiIiRUSqqqpKNTU16frrr+8ybtsxtP1ri67WaWvixIn5S6k62w4tLS1p2rRp+U5uoRiXXHJJwe3529/+NlVXV6eISEOGDEl33XVXl7kUinPjjTembbbZJn3uc59Lu+66a6YrWwqN6e67704HH3xw2mabbdI999yTpk6dmjbYYIO0aNGizLm0Xr47ZcqUtM0226TvfOc7qa6uLl133XXdyiWl/9u+N998c6qsrEz/8z//063t0tLSks4444x8zeRyuXTBBRcU3b6r2nnnnVNEpDvuuCOtWLEiff/7308VFRVp2LBhmeoupZROOumktPHGG+ffoyxOOumktMEGGxTcNieccELmv4rqKs5pp52WJk+enHbaaaf08Y9/vMs4xxxzTMFLCmfMmJEqKipSLpdL48aNS08++WS3crngggvShz70ofSFL3wh7brrrpn+KqpQLjfeeGM69NBD0zbbbJNuv/32tNVWW6VddtklrVixIlMu8+fPTxGRBg4cmPbaa6+0zTbbpAsvvDDlcrn08MMPd2tMrU477bQ0YcKENGzYsPTee+91e0xLlixJW2+9dYd9Xle5bLzxxvnftWzZsvxfIN1zzz1p6dKl6aKLLkoRkTbccMOi9VtXV5eqqqpSbW1tuvrqq4vuN996661UX1+fX+cb3/hGj+o3a5xi9ds2Tk1NTcEYxeq3WC5Z67dYnBtvvDHdcccd6dhjj02bbbZZp/Xb1Zhaa7iqqiptsMEG6dlnny1Yw93Zvl3Vb7Htm6V+V83l6quvzr/W0/r95S9/mcaMGZPPp+3VBl3V8C9/+cu0/vrr5y/9P/zwwzvdLttvv33BGl41xqxZs9J+++3X7frNmktX9Zsllyz1myVOlvotNqYs9dvd7dtZ/WaJs2TJkvx+OSIK1m+hOG2vbOlpDd9xxx0pItJ1112XHn744XTQQQelhoaGdOKJJ3a6zmOPPZauv/769Oyzz6aHH3447bvvviki0k9+8pMO26Wz+l01xkEHHZQGDRrU7frNGuenP/1p/jtwof1vljFdcMEFaeLEifntsmoNZ8klS/0WyyVL/XZ3+3ZWv1niZKnfQnEaGhrS66+/nlLqef1usskm+b+O/PWvf51uuummNHz48LT77rt3us4WW2yRamtr0yc/+cn061//Ol1xxRUpItLxxx/fYbvsuuuuBf+yetUYN910Uxo6dGiXxxiFjt+yxil2DJdlTDfeeGNab7318leFrnoMlyWXu+++O/3oRz9Kxx57bNpiiy0KHr9liZPlGK6771OhY7gsuWQ5hisUZ/jw4emcc87JL1PqMdwTTzyRIiI98cQTmc8dtK5z5513lnQM1xqnq/p97733ujyG6yqXYvvfLHG6ewzX2Zi6cwxXKJeeHMNl2b5f//rXuzyG62y7ZNn/ForzxBNP5OeVegxXWVmZqqqqUkSkE088sWj9zp07N1VXV+fXOfroozvdNoX2v53F6ck5tCy5ZDmHVixO1nNoxcaU5RxasVyynkPrzvbt7BxasVyynkNbNc6JJ57Y7vWe7H+nT5+eIiLdfPPNqaWlJd13331pwIABqaKiotN1Pvaxj6VJkyalP/7xj/l16urquv3ZnzVOsdpbNc6NN96Y/37Yqthnf5ZcstRMoTittykuJCJSRUVFp+ddU0pps80261APd911V4qI1Nzc3Ol6q1rnr2zpb6655pqIiLj44ovj6aefjn//93+P2bNnx1/+8pey5jV79uz43e9+FzfddFO3191iiy1i1qxZsfXWW8dJJ50Us2bNihdffDHz+q+//nrMmTMnfvjDH0ZVVVW3f39bBxxwQGyxxRYxcODA2H///ePuu++Ot956K370ox9ljrFy5crYaaed4gMf+EAMHDgwTjjhhPjUpz7V5UNli7n66qvjgAMOiHHjxnVrvR/96Efxwx/+MA466KDYZptt4vrrr49vfOMbcf3113crzre+9a2IiJg+fXrU1tbGt771rfjYxz7W5VU2bV100UVx0003xe233575PWpd5+qrr+5Wrt2N0/oXBymluPLKK7uMc8cdd0RERG1tbbvXNthgg9hmm23iscceiw9/+MPx0Y9+NBYuXJgpl6effjrmzp2bf0hr1jEVyuXII4+MTTfdNAYOHBiHHHJI3HnnnfHUU0/Fww8/nCmXlStXRsQ/3+fJkyfHwIED44tf/GIcdNBBndZvlvepqakpjjrqqA5/VZBlTJdddlm88cYbsfnmm7fb5z3wwAOd5nL77bfnf1d1dXU+tw9/+MMxcODAeOihh+KAAw7ItL3/8z//M5566qn42te+FqeeemrRK90GDx4czz33XH6dc889t+jvKCVOsfptG+eMM86IiOjwF93F6rerXLpTv8XGdOSRR8bBBx8cI0eOjGHDhnVav12NqbWGN9100xgzZkzssMMOBWu4O+9TV/VbbPtmqd9Vczn11FPzY+5J/b7zzjtx9NFHd/ow9M60rvfd73431ltvvW6t29MYndVvd+J0Vr9ZYmSp36y5FKvfLHGK1W9P3qNC9Zs1zmWXXRaPP/54HHroobHNNtt0qN8scXq6D548eXJERGy++eax5557xm233RYjR46M3/zmN52uM3Xq1DjmmGNihx12iD333DO+973vRUQU/cvermLcdtttMWLEiILLdrX/zRpnr732ilmzZsWkSZMK7n+Ljam1hlv/krKnY8qy/y2WS5b9b3e2b0Tn+98scYrVb2dxRo4cGd/5znciouf127otzjjjjNh5553jiCOOiC996Utd1u/KlStj1KhR8R//8R+x8847x/Tp0yMi4vbbb+90nWIxjjjiiHZXN67qv//7vwsev2WNU+wYrtiYWo/hDjrooKioKHzaIUsuBxxwQBx++OExcuTIGDJkSMHjtyxxshzDdfd9KnQMlyWXLMdwheJ86UtfapdvqcdwV199dWy77bax6667Zlq+7To77rhj5nU6i7PqQ7bbSinFRz/60S6P4brKpdj+t1icnhzDdTam7hzDFcqlJ8dwxbZvxD/PPXV1DNfZ9s2y/y0Up22d9XT/+9hjj0VExGmnnRbPPPNM3HbbbXHXXXfl5xfy8MMPxwUXXBBXXHFFfp0HH3yw0+Wzxmn9nGw9h7eqQufQsuZSbP9bLE7Wc2hZxlTsHFqWMWXZ/3Z3+xba/2bJJcv+t1Ccu+66K84///z8Mj3Z/7auf+SRR0ZNTU2cfPLJcdxxx3W5zty5c2OzzTaLLbfcMr/OEUcc0enynX32Z41TrPZWjfOlL30pIiL/OZ/lsz9LLllqplCc4447rtPfGxGx0047dfu8a49kbsuspZYuXZoqKys7dK6POeaYdPDBBxdcZ8KECenf/u3f2q33la98JW233XZF11v1LyFa10vpn/f9q6qqShUVFe3yOf7449O4ceM6jdt2DG3/2qKrXNqaOHFih/G0OuaYY9KGG26Yxo8fn1555ZUuY1xyySWZtuc+++zT7r6hxeLcfvvt+b9eyOVy7TrQlZWVBf8ipNiY2m6XyZMnpy9+8YuZx7TBBhuk448/vl2cK664Io0bN67TMXWVy7777psqKio6/GVmllzGjx+fvv3tb7fL5fzzz09bbLFFl3FW1Rr3xhtvTG+88UZK6f8e+FWs7mbNmpWGDBmSnnrqqfyYitXdv/3bv+XX6axmZsyYUfSvoorFWbZsWZowYUJqaGhIf/vb34rGeeyxxzLVzKabbtqh291ZLpdcckm+VtvWb0VFRZo4cWLJuay33nrpqquuypTL0qVLU1VVVTr//PPbxTn99NPT7rvv3u3tm1JK+++/f4qIdg/rzDqm5ubmVF1dnfbee+92Yzr++OM73BOzbS6ras3tBz/4Qf7Bl7vuumvaYostMu032/7esWPHZtpvtjr22GNTLpfrUf0Wi5O1flstXbo05XK5tMMOO7Sbn6V+O8ulu/VbbEyr5lOofrsaU2sN77DDDu3G1FkNF8slS/12lkt36ret448/Pu23337t4nanfp999tn8e9D631wul3+fDj300C7Xq6yszP+0fT/bPmyw9bNp1RouFKNtXVx55ZX5Zbuq3+7mUqh+s+SSpX67M6ZV82lbv1nGVKx+u5tLZ/WbJU5r/d55553txtS2fjuL07pNW9+n3toHH3bYYWnDDTfMvA9u/Tf5vve9r8N7VKh+OzNjxoyS97+dxWnNp3VMxfa/q46ptYZb37/Wuiq2D86SS9b9b2suPd3/dpZLd/a/q8bJUr+dOeyww9KRRx7Zbpzdrd/3ve99HcZ099135692KeQDH/hAu2fWLV26NL8fX7p0aX5+63iiwF9Wrxojpf+7SuxHP/pRu/lbbLFFqqurK3j81p04XR3DFRtT6zHcqvXb9hiup7msevyWJU6WY7juvE+dHcNlySXLMVyhOK111ppLKcdwN954Y2poaEiXXnpph+3bmcWLF+fXKeUYrjXON77xjYIxPvGJT6QxY8ak7bbbrtN9cJZcsux/O4vT3e/AxcaU5Rius1y6ewyXJZc99tijy31wZ7l0d//bNs6qerL/3X333Tvsf7///e+nysrK9JGPfKTgOu973/vSF77whXbzrr322hQR6dZbb+2wbQrtfwvFad0/1NTUpJaWlnYxOjuH1t1cOtv/FouT9Rxad8bU2Tm0LGPKsv/tTi6d7X+z5JJl/1sozve///00YMCAfC6l7H9vvvnm9Ne//jWtXLkynX766WnIkCFF97/vvfdefp3Pf/7zBeu0q8/+7sTJcv62Nc6SJUtSLpdL48ePTymlTJ/9WXLpznnXtnFOP/30NGnSpA7L/Pd//3eKiILnftt6//vf3+EKsGuuuSY1NDR0ud6q1vkrW2pqamLnnXdu1+1cuXJlPPjgg50+V2Tq1KnxyCOPtFvv/vvvj912263oeqt2Ve+///788suXL48VK1bEpptu2m65ioqKePPNNzuN25MxrKqqqqpDjJaWlrj11lvjzTffjJ///Oex0UYbFY2TJZeVK1fm79GZJc4+++wTzz//fDzzzDMxcuTImDNnTkyePDmOOuqoeO6556KysjLzmFbNZfHixfHnP/85xo4dm3lMe+yxR/zhD39oF+ePf/xj/r6h3c0lpRSjRo1q9xyArLk0NzdHRLTLpbKyMv/XL1m1xn300Udj7Nix8Y9//CPuueeeLp+vU1NTE+PGjYsbbrgh7rnnnpg8eXKmurv44ovj/PPPz6/TWc109dcpWeIsX748Dj/88Jg/f3589rOf7fQvK9vGmTp1aqZ/S6vWcFe5HH300fHb3/62Xf2OGzcuTjvttLj33ntLyuWvf/1rvPnmm+3qt6tcampqYpdddslUv1nfp1/+8pex/vrrd3oP5K7GtHz58li+fHn85je/abd9V63hVXNZVWtujz/+eIwcOTL+9Kc/xVNPPdXt/WZLS0uX6xSSy+Vi0KBB3a7fYnGy1m9bNTU1MWLEiHZ/tZelfrvKpTv1W2xMq+ZTqH6LjammpiYmT54cf/zjH9uNqdg+uLNcitVvV7lkrd9Vrbr9u1u/W265ZTz//PPxm9/8Jrbddts44ogj4uCDD4699tornnnmmXjyySe7XO+5557L/0yfPj0aGhriiCOOiAkTJuTze/DBB2OnnXbKFOPggw+OvffeO7bddtv47W9/m982XdVvd3MpVL9ZcslSv1nHtGo+q9ZvljEVq9/u5tJZ/WaJ01q/EZ1/h+gszl577RXPPfdc/n3qjX1wS0tL/Pa3v42//e1vmffBlZWVUVtbG4sXL+7wHhWq30JaWlrihRdeiNGjR5e0/y0Up20+Wb8Drzqmo48+Op577rl8/T733HNF98FZcsmy/101l57sf7vKpTv731XjZKnfzuI8//zz7cbdk/p9//vfH9XV1e3+ivsPf/hDl8+r2GOPPeLll1/O51dTUxPjx4+PgQMHRk1NTX67dPU9etUYERGvvvpqVFdXxy9+8YuI+OfVALNnz44//elPMXv27ILHb1niFMpn1fotNqZ99tknfvOb37Sr31WP4XqSS6HjtyxxshzDded96uwYLksuWY7hCsX54x//GGPHjs3n0tNjuJ133jm+973vxdKlS+MTn/hE5nMHt9xyS36dnh7DtY1z7LHHdoixdOnS+PGPfxwrV66MBx54oNN9cJZcsux/O4vT3e/AXY0pyzFcV7l05xguay7vvfde7Lzzzp3ugzvLpbv737ZxVtWT/e+SJUtizJgx7cbU+kyc3XbbreA6zc3NHf7Svba2NnK5XPz85z/vsG06s2qcmpqa2GijjaKlpSVSShFR/Bxad3PprH6Lxcl6Di3LmIqdQ8sypiz73+7k0tn+N0suWfa/heK0brPWXErZ/7Z+B1qxYkV+f1ds/1tXV5df5yc/+UmMHTs2X69ZPvuzxInIvu9sjVNRURE1NTUxevToiIhMn/1ZcunOede2cW699db8ValtXXvttRERBc8ntVXsvH1m3WrNrKVuuummVFtbm6677rr04osvphNOOCENHTo0LViwIKWU0tFHH92u+/Xoo4+mqqqq9IlPfCLV1NSk6dOnp6qqqnTYYYdlWu8b3/hG+v3vf5/OPvvsVF1dnZ5//vn8MnvuuWcaP358qq6uTv/2b/+Wvva1r6XKyso0YMCATuO23t+ypqYmDRkyJB133HFp5syZqaGhoct1nn322fTss8+msWPHpi984Qv5GK3bYdKkSSki0m233Zbmz5+fDjvssHTyySfn71NXKMazzz6bLr300vz2/H//7/+lj3zkI6mhoSE99NBD6Ytf/GKKiHTEEUd0mcuqcVZ9X/bcc8+05ZZbdntM2223XRo0aFB68skn06OPPprGjBmTBgwYkP9Liiy53HzzzSmXy6W6uro0b9689MMf/rDDX1JkyaV1POuvv34644wzMr1Hq+Yyffr0NHDgwFRfX5+efPLJdNttt+Xva1gszp/+9Kf8Mvfcc0/64he/mGpqatIXvvCFtMUWW6RRo0Z1Wc8XXXRRqqysTNXV1Wnu3LnpkUceSZ/4xCeKrlNTU5N+/OMfp/nz5+d/rrvuuvyYHnvssTRz5sxUX1+fIiLddNNNadq0aenkk0/OHOd73/te2muvvVJ9fX0aPHhw+u1vf5uv4dNOO63LOFdddVU+l1//+tdphx12SIMHD05PPfVU+vWvf5022WSTVFlZmX73u99lHtOq9Ttx4sQOf5FXLJennnoqbbfddmnw4MHpySefTA888EAaPnx4GjZsWFqyZEnmXL71rW+lioqKNHDgwDRv3rx02WWXpVwul4466qhuvU8vvvhiOvbYY1NEpK9//euZ3++2Y3rxxRfT2LFjU0VFRbr11lvTK6+8knbfffdUWVmZrrjiii5zeeedd/K/50c/+lH68pe/nGpqatJnP/vZNG7cuLThhht2WYsXXHBB+td//ddUU1OTLrjggnTaaaelXC6XBg4c2OU69913X/rzn/+cXnzxxfSNb3wjVVVVpRNOOKFb9VssTtb6LRSnoqIiVVVVZa7fLGPKUr/F4lx11VXpuOOOS9OnT08NDQ3plltuSTvttFMaPHhwu78aKjamF198MX3oQx9KEZG+8Y1vpD/96U9pl112SblcLv3yl7/s1piK1W+WXIrVb2e5fPe73y2pflu1fn/ZY4890t577130+8uqZs2alSZPntxuu8yaNSsNHjw4/eAHP0gRkd7//ven4447Ls2fP7/TGNOnT8/nkrV+i+WSpX6L5ZK1fovFyVq/WbZvsfrNOqZi9ZslzuTJk9OwYcPSoEGD0hNPPJGuvfbaVFFR0e7Kq87itNWTGj733HPTmWeemWpqatI555yTDjjggFRZWdnld9dzzz033XvvvenPf/5zevrpp9ORRx6Zqqur2323Kla/hWLU1dWlb3zjG92q32JxvvOd76RPfepT+Zq5995703HHHZcqKiraPfshy5hW/XddX1/f7q/di+WStX6z5FKsfovlkrV+s8TJUr+dxXnhhRdKqt/XXnst1dXVpcrKynTRRRelK6+8MtXV1aW6urou1xk8eHA6+eST00svvZTuvPPO1NDQ0O4z5bjjjkuDBw9ODzzwQIqINHny5HTcccelv/zlL53GGDVqVDriiCPy2+XII49MNTU1adCgQe3qt+17nSVOlmO4LGNatX5Hjx6dv4d71lyOPfbYfC4//elP07777ptqa2vTZz/72W7FyXIM150xdXYMlyWXLMdwncX56le/ml+mJ8dwKf3z+0Mul0u77rprpvMfrd73vve1q4G2nylZvgMXitM2xm9+85s0ceLElMvl0oMPPtjuHETbK4u6yiXr/jfLmLrzHaKzMWU5hsuSS5ZjuGK5tI5nyJAhacCAAenKK6/s0Xvdne8Pq8Zpqyf737PPPjvV1dXlz5d973vfSw0NDam6urrLdQYPHpxuvPHG9Morr6T77rsvbbLJJmm33XZr9z7NnDkzDR48OEVE+uY3v5mmTZuWPv3pT3cZZ/To0amioiLzObQsuWTZ/2aJk+UcWpYxFTuHliWXLPvfLLkU2/9mySXL/rezOB/96Efzy/Rk//v444+nU089NdXU1KQzzzwzTZkyJQ0ePDgNGTKky3VuvfXW9Oc//zn94he/SHvvvXfaaKON0tVXX92tz/4scbLUXqE4I0eO7PKc+qqf/VlyyVIzncX5xz/+kV/mnXfeSU8//XT+eaff/OY307PPPpv/bvXFL34xHX300fnlX3nllTRw4MB02mmnpd///vfp8ssvT5WVlemee+5J3aHZ8r8uu+yytMEGG6Sampq06667pscffzz/2p577plmzZrVbvkf/ehHafPNN8+fbK6qqurWejU1NWnrrbfu8LCh+fPnp2OPPTYNGTIkf6nVBhtskObNm9dp3FdffTV/WWDbnx133LHb62y66ab57VDo9YhI1157bZcx9txzz/z2bL3sr6qqKo0cOTLts88+abvttsuUS9s4q74ve+65Z1p//fW7Pabhw4enESNGpJqamrT++uunkSNHphkzZnQ7l8033zxtvPHGqba2Nm255ZZp880373Yuu+66a5o7d26KiPTSSy9lfo9WzWX06NFp9OjRqa6uLm288cZpgw02aLez6CpOq5tvvjltvPHGqbKyMlVUVKSKioq08847d1nPEydOLBi37ZfYrOucffbZ+TG1fRha25/tt98+c5zWh+0V+ml7eXNncQ444ID89h02bFhab731Uk1NTRo7dmwaMWJEmjZtWrfGtGr9Tpw4MW2yySaZtk3bXBoaGtLQoUNTdXV1mjhxYho7dmy7D/ysuWy00UZp/Pjxqa6uLm2//fZp66237vb7VFNTkzbccMNUW1ub3nrrrW69323HtOOOO6Zp06alcePGpbq6ujRgwIA0efLktHLlyqK5tJo7d24aP358qqioyN/qZpdddumyfr/0pS+lTTfdNH/rxlwulzbZZJNM69TV1aVhw4alqVOnpptuuimllLpVv8XiZK3fzuK0fY+K1W+WMWWp32JxJkyYkHK5XKqqqkqVlZVp4sSJ6VOf+lSaOnVqpjir5tJ2ufr6+rTXXnt1e0zF6jdLLsXqt6tcSqnfti677LJUX1+ff7Bi1vVS+r8T523HtPHGGxf9N1coRmsuWes3Sy7F6rdYLlnrt1icrPWbZUzF6jfrmIrVb9Y46623XlpvvfVSXV1d2mKLLbq1bVr1pIZPOeWUtMEGG7T73rHNNttkWqf1u8+BBx6YnnnmmW7Vb2cxWrdL1votFmfChAmpoqIif4zQeovKnXbaqdtjWvXfdW1tbdpll126lUuW+s2aS1f1WyyXrPWbNU6x+u0qTin1m1JKjz32WLvvKOPHj0+PPvpo0XWmTJmSamtr08Ybb5y+9rWvpblz5+Zz3HLLLQvWXts4hWKsWLEiv106q99VH5RbLE6WY7gsY1q1focMGZK22mqrbufS+m9p/fXXT0cccUTaddddM+XSNk6WY7isY+rqGC5rLsWO4bqK06onx3AppfSHP/whRUQaNWpU5vMfrevcd9997eZ35ztwZ3HabpfOavihhx7KlEvW/W+WMWX9DlFsTMWO4bLmUuwYLksuu+66a/riF7+YBgwYkN56660evddZvz90FqdVT/a/y5cvT+ecc05ab7318rUxatSodP/99xddZ5NNNkl1dXVpwoQJ6dOf/nT6xz/+kR9T6wPBV/3ZZJNNisb5+te/nvkcWpZcsux/s8TJcg4ty5iKnUPLmkux/W+WXIrtf7PmUmz/21WcVj3Z/z788MNpq622yp+DqKioSDvuuGOmdWpra9OIESPS0UcfnX/Ae3c++7PEyVJ7ncXp6rvrqp/9WXLJUjNdxWn10EMPdfndatasWe3Ojbaus8MOO+SPLVr//XZHLqX/vQYKAAAAAACAblvnn9kCAAAAAABQCs0WAAAAAACAEmi2AAAAAAAAlECzBQAAAAAAoASaLQAAAAAAACXQbAEAAAAAACiBZgsAAAAAAEAJNFsAAIC1zgc/+ME45ZRTyp0GAACwjtBsAQAAAAAAKIFmCwAAAAAAQAk0WwAAgLXSypUr4/TTT4/hw4fHmDFj4pxzzomIiP/+7/+OXC4Xzz33XH7Zt956K3K5XDz88MMREfHwww9HLpeLe++9N3bccccYMGBA7L333rFw4cL42c9+FltttVU0NDTExz/+8Whubl79gwMAAPoVzRYAAGCtdP3110d9fX088cQTcfHFF8d5550X999/f7dinHPOOfHtb387HnvssXj99dfjox/9aFx66aVxww03xF133RX33XdfXHbZZX00AgAAYE1RVe4EAAAA+sJ2220XZ599dkREbLbZZvHtb387Hnzwwdhss80yx/jqV78ae+yxR0REHH/88XHmmWfGn//859h4440jIuKwww6Lhx56KM4444zeHwAAALDGcGULAACwVtpuu+3a/f/YsWNj4cKFPY4xevToGDhwYL7R0jqvuzEBAIC1j2YLAACwVqqurm73/7lcLlauXBkVFf88DEop5V9bvnx50Ri5XK7TmAAAwLpNswUAAFinjBw5MiIi5s+fn5/33HPPlSkbAABgbeCZLQAAwDplwIABsdtuu8VFF10UG220USxcuDDOOuuscqcFAACswVzZAgAArHOuueaaWLFiRey8885xyimnxFe/+tVypwQAAKzBcqntjYoBAAAAAADoFle2AAAAAAAAlECzBQAAAAAAoASaLQAAAAAAACXQbAEAAAAAACiBZgsAAAAAAEAJNFsAAAAAAABKoNkCAAAAAABQAs0WAAAAAACAEmi2AAAAAAAAlECzBQAAAAAAoASaLQAAAAAAACXQbAEAAAAAACjB/wevkaED56VwHgAAAABJRU5ErkJggg==", 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" ] @@ -2427,7 +2427,7 @@ "outputs": [ { "data": { - "image/png": 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o27ZtXHvttfHQQw9Ft27dcpIjIjdZVqxYEWvXro2rrroqhg8fHg8++GCceOKJcdJJJ8WcOXNyliVXefJ5fJMmz+OPPx4333zzDv/Bp6n207nKko99dERu8hTatrO9PPnadtJk2W+//eLnP/953HPPPfGrX/0qNm/eHIcffni89tprDa7f3I9vdiRPIW07O5InH8c4abL87W9/izvuuCPq6urivvvui8suuyx++MMfxne/+92c1bmjcpVn5syZ8eyzz8aUKVNyWv8H5SpPoZyHbi9LIZ+Hzps3L1588cX46le/utV1mvt+ektby1OI56Fby5Kv89A0eU499dSYPHlyfPrTn442bdrEXnvtFUOGDIlvfetbOa11R+QqTz7207nKMmjQoLj11lvj/vvvj+nTp8eyZcviiCOOiDVr1uQkR+ucjMpOr02bNnHnnXfG2WefHV27do3i4uIYOnRoHHvssZEkSb7LI947QVmwYEGsWrUq7rjjjhg1alTMmTMn542WXNi8eXMcfPDBceWVV0ZExCc+8Yl48cUX48Ybb4xRo0blubrG+eUvfxlf+cpX4mMf+1gUFxfHJz/5yfjSl74U8+fPz3dp23TVVVfFzJkzY/bs2R/6P6Ai3nv44Be/+MVIkiSmT5+ehwobZ2t5TjnllMx0//79Y8CAAbHXXnvF7Nmz4+ijj85Hqdu1tSzXX399PPXUU/H73/8++vTpE4899liMHj16m42y5qRTp06xYMGCWLt2bTzyyCMxbty42HPPPWPIkCH5Lm2H7Ej9n/nMZ2LBggXxr3/9K2666ab44he/GE8//XT06NEjf4U3YFtZNm/eHBERJ5xwQlx44YUREXHQQQfFk08+GTfeeGMMHjw4n6U3aFt5Cun4Zs2aNXH66afHTTfdtEPNuea8n97RLIWyj96RPIW07exInkLadqqqqupd3X344YfH/vvvHz/5yU/iiiuuqLduc95u3rcjeQpl24nYsTyFcoyzefPm6NGjR/z0pz+N4uLiGDhwYPzzn/+MH/zgB3H55Zfnu7xG216eV199NcaOHRsPPfRQg+cLzc2O/HwK5Tx0R7IU6nnozTffHP37949DDz20weWFsJ/e0tbyFNJ++n1by1Io++iI964euvLKK+OGG26IQYMGxZIlS2Ls2LFxxRVXxGWXXZbv8hpte3kKaT+9Iz+bY489NrP+gAEDYtCgQdGnT5/47W9/u8NX+TeGJksWdOvWLYqLi6Ompqbe/JqamqioqGjwMxUVFY1aP5dyVf/AgQMzf8TfsGFDdO/ePQYNGhQHH3xw9kNsQ5p8zUUuay8pKYm99947It77Wf35z3+OqVOnxk9+8pOPNO625CpPz549P9Qc2n///eN//ud/Uo+5PbnKstdee8WcOXNi3bp1sXr16ujZs2ecfPLJseeee37Ukrfpo+S55ppr4qqrroqHH344BgwY8KHl7x/Y/uMf/4g//elPOf+/hyJym2dLe+65Z3Tr1i2WLFmSs4PbXGR555134lvf+lbcddddMWLEiIh476BjwYIFcc011zTpwW3afK1atcrsww466KB4+eWXY8qUKU3eZMll/R06dIi999479t577zjssMNin332iZtvvjkmTJhQMFm6desWrVu3bnAfnevbT+TqZ5Ov45vG5lm6dGn8/e9/j+OPPz4z7/0/3Ldu3ToWLVoUe+21V0Q0/X46l1m21BT76Ijc5Ondu3fBbDs7+vPJx7aTjeO1Nm3axCc+8YlYsmRJvfmFdnzzvq3l2VJz3XYa8sE8+TrGSZOlZ8+e0aZNmyguLs7M23///aO6ujo2bNgQJSUlOal1R+Qiz/z582PFihXxyU9+MrO8rq4uHnvssfh//+//RW1tbb3PNvc8JSUlBXMeuiNZCvE8dN26dTFz5syYPHlyg8sLbT+9vTxbau7noVvLks/z0DR5Lrvssjj99NMzV+P0798/1q1bF+eee258+9vfjlat8neDqFzkydd+uql+Nl26dIl99913m8dAH4XbhWVBSUlJDBw4MB555JHMvM2bN8cjjzyy1WdcVFVV1Vs/IuKhhx7K+TMxGpLr+jt37hzdu3ePxYsXxzPPPBMnnHBCdgNsR5p8zUVT1r558+bM/bJzJVd5PvWpT8WiRYvqzXvllVeiT58+qcfcnlz/bDp06BA9e/aMf//73/HAAw/kfLtJm+fqq6+OK664Iu6///4G/0jy/oHt4sWL4+GHH45dd901J/V/UK7yfNBrr70Wb775ZvTs2TMrdTckF1k2btwYGzdu/NCBR3FxceYPY00lW9tSU+zDGtKU9ec6Yy6ylJSUxCGHHNLk++j3vzuXP5umPr5pbJ6+ffvGCy+8EAsWLMi8Pve5z2WukOrdu3dE5Gc/nassH9QU++iI3OQppG2nsT+fptx2srEfqKurixdeeKHe71GhHd9sqaE8H9Rct52GfDBPvo5x0mT51Kc+FUuWLKlX1yuvvBI9e/bMa4MlIjd5jj766A/tKw4++OA47bTTYsGCBTlrsOQqz/vrFMJ5aGN+1wrlPDQi4ne/+13U1tbGl7/85Q8tK8T99LbyfFBzPg+N2HqWfJ6Hpsmzfv36BmuNiLxfiZuLPPnaTzfVz2bt2rWxdOnS3G03CVkxc+bMpLS0NLn11luThQsXJueee27SpUuXpLq6OkmSJDn99NOTb37zm5n1n3jiiaR169bJNddck7z88svJ5ZdfnrRp0yZ54YUXWkz9v/3tb5NHH300Wbp0aXL33Xcnffr0SU466aQmz5Ykjc9XW1ubPPfcc8lzzz2X9OzZM7n44ouT5557Llm8eHGLqP2b3/xmMmfOnGTZsmXJ888/n3zzm99MioqKkgcffLAg88ybNy9p3bp18r3vfS9ZvHhxcvvttyft27dPfvWrXxVclvvvvz/54x//mPztb39LHnzwweTAAw9MBg0alGzYsCGnWdLkueqqq5KSkpLkjjvuSN54443Ma82aNUmSJMmGDRuSz33uc0mvXr2SBQsW1Funtra24PKsWbMmufjii5O5c+cmy5YtSx5++OHkk5/8ZLLPPvsk7777bkFlSZIkGTx4cHLAAQckjz76aPK3v/0tueWWW5K2bdsmN9xwQ06zZCPflVdemTz44IPJ0qVLk4ULFybXXHNN0rp16+Smm25q8tpzUf/atWuTCRMmJHPnzk3+/ve/J88880xy1llnJaWlpcmLL75YUFmSJEnuvPPOpE2bNslPf/rTZPHixcn111+fFBcXJ//7v/+b0yy5ypPP45vG5vmgUaNGJSeccELmfT7309nOks99dJJkP0+SFNa280EN5cnXttPYLJMmTUoeeOCBZOnSpcn8+fOTU045JWnbtm3y0ksvJUlSeMc328tTaNvO9vIkSf6OcRqbZfny5UmnTp2SMWPGJIsWLUpmzZqV9OjRI/nud7+bWWfNmjWZ84eISH70ox8lzz33XPKPf/wjp1lyleeDBg8enIwdOzbXUZIkyU2eQjkP3ZEshXQe+r5Pf/rTycknn/yh+YW2n95enkI6D91eliTJ73loY/NcfvnlSadOnZJf//rXmW1jr732Sr74xS9m1imk/fSO5PmgptpP5yLLRRddlMyePTtZtmxZ8sQTTyRDhw5NunXrlqxYsSInGTRZsuj6669Pdtttt6SkpCQ59NBDk6eeeiqzbPDgwcmoUaPqrf/b3/422XfffZOSkpLkgAMOSO69994mrri+bNc/derUpFevXkmbNm2S3XbbLbn00kub5B+0rWlMvmXLliUR8aHX4MGDm77wJPu1f+UrX0n69OmTlJSUJN27d0+OPvroJmmw5CpPkiTJH/7wh+TjH/94UlpamvTt2zf56U9/WpBZfvOb3yR77rlnUlJSklRUVCSjR49O3n777SbJ0tg8ffr0aTDP5ZdfniTJ1vNGRPLoo48WXJ7169cnxxxzTNK9e/ekTZs2SZ8+fZJzzjkn849+IWVJkiR54403kjPPPDOprKxM2rZtm+y3337JD3/4w2Tz5s1NkueDGpPv29/+drL33nsnbdu2TXbZZZekqqoqmTlzZh6q/j/ZrP+dd95JTjzxxKSysjIpKSlJevbsmXzuc59L5s2bV3BZ3nfzzTdn1jvwwAOTu+++uymiJEmS/Tz5Pr5p7PHalj74h+9876ezmSXf++gkyW6e9xXKtvNBDeXJ57bTmCwXXHBBZt3y8vLkuOOOS5599tnM8nxvN9nOU2jbzvbyJEl+j3Eau908+eSTyaBBg5LS0tJkzz33TL73ve8lmzZtyix/9NFHG/xd29b215zzfFBTNlmSJDd5CuE8NEm2n6WQzkOTJEn++te/JhHR4N8xCm0/nSTbzpPv/XQ2syRJ/s9DG5Nn48aNycSJE5O99toradu2bdK7d+/kv//7v5N///vfmXUKaT+9I3k+qCn309nOcvLJJyc9e/ZMSkpKko997GPJySefnCxZsiRn9RclSTN70iAAAAAAAEAB8EwWAAAAAACAFDRZAAAAAAAAUtBkAQAAAAAASEGTBQAAAAAAIAVNFgAAAAAAgBQ0WQAAAAAAAFLQZAEAAAAAAEhBkwUAACgIt956a3Tp0uUjjzNkyJC44IILPvI4ubb77rvHddddl+8yAACAbdBkAQAACsLJJ58cr7zySr7LAAAAyGid7wIAAAB2RLt27aJdu3b5LgMAACDDlSwAAEDezJo1K7p06RJ1dXUREbFgwYIoKiqKb37zm5l1vvrVr8aXv/zlD90ubOLEiXHQQQfFL3/5y9h9992jc+fOccopp8SaNWsy66xbty7OOOOM6NixY/Ts2TN++MMffqiGG264IfbZZ59o27ZtlJeXx3/+539mlg0ZMiTGjBkTY8aMic6dO0e3bt3isssuiyRJMuvU1tbGxRdfHB/72MeiQ4cOMWjQoJg9e3a973j88cfjiCOOiHbt2kXv3r3j61//eqxbty6zfMWKFXH88cdHu3btYo899ojbb7899X9TAAC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" ] @@ -2449,7 +2449,7 @@ "source": [ "#### Observaciones:\n", "* La velocidad del viento se encuentra normalizada, 1 corresponde a 67 km/h\n", - "* hay un pico en 0.85, lo que corresponde a 57 km/h aproximadamente, si los vientos muy fuertes oscilan entre 50 y 61 km/h con dificultad en la marcha personal contra el viento, resulta dificil que en esas condicones climáticas haya habido tanto alquiler de rodados." + "* hay un pico en 0.85, lo que corresponde a 57 km/h aproximadamente, si los vientos muy fuertes oscilan entre 50 y 61 km/h con dificultad en la marcha personal contra el viento, resulta dificil que en esas condiciones climáticas haya habido tanto alquiler de rodados." ] }, { @@ -2525,7 +2525,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2558,7 +2558,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -2581,7 +2581,7 @@ "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -3475,7 +3475,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_180060\\2589949182.py:2: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", + "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_187204\\2589949182.py:2: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", " plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n" ] }, @@ -3688,7 +3688,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_180060\\458809994.py:3: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", + "C:\\Users\\crisz\\AppData\\Local\\Temp\\ipykernel_187204\\458809994.py:3: UserWarning: color is redundantly defined by the 'color' keyword argument and the fmt string \"k--\" (-> color='k'). The keyword argument will take precedence.\n", " plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], 'k--', lw=3,color='red')\n" ] }, @@ -3734,7 +3734,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ @@ -3743,7 +3743,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 73, "metadata": {}, "outputs": [], "source": [ @@ -3752,7 +3752,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 74, "metadata": {}, "outputs": [], "source": [ @@ -3760,6 +3760,13 @@ "criszam99.columns = ['pred']\n", "criszam99.to_csv('./criszam99.csv',index=False)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/criszam99.csv b/criszam99.csv index 504f144..93c976c 100644 --- a/criszam99.csv +++ b/criszam99.csv @@ -1,5381 +1,5381 @@ pred -12.16 -12.24 -33.39 -76.28 -161.99 -243.06 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