diff --git a/Data.ipynb b/Data.ipynb new file mode 100644 index 0000000..7280baf --- /dev/null +++ b/Data.ipynb @@ -0,0 +1,3799 @@ +{ + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
seasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
count11999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.00000011999.000000
mean2.2106840.2795235.53029411.5566300.0277523.0093340.6840571.4350360.4657040.4488880.6257700.196433158.594966
std1.0887980.4487843.4330056.9118910.1642692.0052640.4649100.6508940.1885760.1696330.2006370.125394151.392952
min1.0000000.0000001.0000000.0000000.0000000.0000000.0000001.0000000.0200000.0000000.0000000.0000001.000000
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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
\n", + "
" + ], + "text/plain": [ + " season yr mnth hr holiday weekday \\\n", + "season 1.000000 -0.446665 0.865268 -0.007610 -0.008928 -0.003688 \n", + "yr -0.446665 1.000000 -0.488103 -0.003948 0.001039 -0.002714 \n", + "mnth 0.865268 -0.488103 1.000000 -0.007060 0.009372 0.014500 \n", + "hr -0.007610 -0.003948 -0.007060 1.000000 0.000414 -0.004037 \n", + "holiday -0.008928 0.001039 0.009372 0.000414 1.000000 -0.102503 \n", + "weekday -0.003688 -0.002714 0.014500 -0.004037 -0.102503 1.000000 \n", + "workingday 0.012630 0.001068 0.006441 0.003454 -0.248601 0.031057 \n", + "weathersit -0.009029 -0.006309 -0.012239 -0.024003 -0.014707 0.017259 \n", + "temp 0.410790 -0.198929 0.353330 0.139251 -0.028519 -0.010002 \n", + "atemp 0.413196 -0.190360 0.358541 0.134633 -0.038005 -0.009841 \n", + "hum 0.198937 -0.141319 0.201669 -0.257202 -0.036672 -0.025932 \n", + "windspeed -0.142924 0.067356 -0.147042 0.130441 0.022681 0.008447 \n", + "cnt 0.111369 0.156960 0.073431 0.396698 -0.030304 0.022618 \n", + "\n", + " workingday weathersit temp atemp hum windspeed \\\n", + "season 0.012630 -0.009029 0.410790 0.413196 0.198937 -0.142924 \n", + "yr 0.001068 -0.006309 -0.198929 -0.190360 -0.141319 0.067356 \n", + "mnth 0.006441 -0.012239 0.353330 0.358541 0.201669 -0.147042 \n", + "hr 0.003454 -0.024003 0.139251 0.134633 -0.257202 0.130441 \n", + "holiday -0.248601 -0.014707 -0.028519 -0.038005 -0.036672 0.022681 \n", + "weekday 0.031057 0.017259 -0.010002 -0.009841 -0.025932 0.008447 \n", + "workingday 1.000000 0.042202 0.062273 0.066305 0.022805 -0.002493 \n", + "weathersit 0.042202 1.000000 -0.080149 -0.081386 0.430378 0.009195 \n", + "temp 0.062273 -0.080149 1.000000 0.991785 -0.019289 -0.013984 \n", + "atemp 0.066305 -0.081386 0.991785 1.000000 -0.003669 -0.057619 \n", + "hum 0.022805 0.430378 -0.019289 -0.003669 1.000000 -0.295765 \n", + "windspeed -0.002493 0.009195 -0.013984 -0.057619 -0.295765 1.000000 \n", + "cnt 0.025132 -0.149848 0.395743 0.395234 -0.303672 0.094791 \n", + "\n", + " cnt \n", + "season 0.111369 \n", + "yr 0.156960 \n", + "mnth 0.073431 \n", + "hr 0.396698 \n", + "holiday -0.030304 \n", + "weekday 0.022618 \n", + "workingday 0.025132 \n", + "weathersit -0.149848 \n", + "temp 0.395743 \n", + "atemp 0.395234 \n", + "hum -0.303672 \n", + "windspeed 0.094791 \n", + "cnt 1.000000 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calcular la correlacion entre las variables de bike_train\n", + "bike_train.corr()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "season season 1.000000\n", + "temp atemp 0.991785\n", + "mnth season 0.865268\n", + "yr mnth 0.488103\n", + " season 0.446665\n", + " ... \n", + " weekday 0.002714\n", + "workingday windspeed 0.002493\n", + " yr 0.001068\n", + "holiday yr 0.001039\n", + "hr holiday 0.000414\n", + "Length: 79, dtype: float64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#ordenar de mayor a menor correlacion\n", + "bike_train.corr().abs().unstack().sort_values(ascending=False).drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "cnt 1.000000\n", + "hr 0.396698\n", + "temp 0.395743\n", + "atemp 0.395234\n", + "hum 0.303672\n", + "yr 0.156960\n", + "weathersit 0.149848\n", + "season 0.111369\n", + "windspeed 0.094791\n", + "mnth 0.073431\n", + "holiday 0.030304\n", + "workingday 0.025132\n", + "weekday 0.022618\n", + "Name: cnt, dtype: float64" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#ordenar las correlaciones de cn de mayor a menor\n", + "bike_train.corr().abs()['cnt'].sort_values(ascending=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
seasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
season1.000000NaN0.491815-0.000481-0.0295600.0077520.0291560.002945-0.253303-0.2239720.026825-0.091152
yrNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
mnth0.491815NaN1.0000000.0001330.0404450.011644-0.0311760.129539-0.779969-0.7618770.0854060.012960
hr-0.000481NaN0.0001331.0000000.000677-0.002326-0.000340-0.0114130.1496100.146253-0.3278780.155250
holiday-0.029560NaN0.0404450.0006771.000000-0.101208-0.260756-0.021687-0.034763-0.0253640.052270-0.037032
weekday0.007752NaN0.011644-0.002326-0.1012081.0000000.046774-0.0300470.020362-0.003897-0.0660300.018021
workingday0.029156NaN-0.031176-0.000340-0.2607560.0467741.0000000.0502850.0487870.036161-0.002209-0.035967
weathersit0.002945NaN0.129539-0.011413-0.021687-0.0300470.0502851.000000-0.149031-0.1573190.3871480.064587
temp-0.253303NaN-0.7799690.149610-0.0347630.0203620.048787-0.1490311.0000000.975469-0.2222220.019468
atemp-0.223972NaN-0.7618770.146253-0.025364-0.0038970.036161-0.1573190.9754691.000000-0.197731-0.014842
hum0.026825NaN0.085406-0.3278780.052270-0.066030-0.0022090.387148-0.222222-0.1977311.000000-0.274399
windspeed-0.091152NaN0.0129600.155250-0.0370320.018021-0.0359670.0645870.019468-0.014842-0.2743991.000000
\n", + "
" + ], + "text/plain": [ + " season yr mnth hr holiday weekday workingday \\\n", + "season 1.000000 NaN 0.491815 -0.000481 -0.029560 0.007752 0.029156 \n", + "yr NaN NaN NaN NaN NaN NaN NaN \n", + "mnth 0.491815 NaN 1.000000 0.000133 0.040445 0.011644 -0.031176 \n", + "hr -0.000481 NaN 0.000133 1.000000 0.000677 -0.002326 -0.000340 \n", + "holiday -0.029560 NaN 0.040445 0.000677 1.000000 -0.101208 -0.260756 \n", + "weekday 0.007752 NaN 0.011644 -0.002326 -0.101208 1.000000 0.046774 \n", + "workingday 0.029156 NaN -0.031176 -0.000340 -0.260756 0.046774 1.000000 \n", + "weathersit 0.002945 NaN 0.129539 -0.011413 -0.021687 -0.030047 0.050285 \n", + "temp -0.253303 NaN -0.779969 0.149610 -0.034763 0.020362 0.048787 \n", + "atemp -0.223972 NaN -0.761877 0.146253 -0.025364 -0.003897 0.036161 \n", + "hum 0.026825 NaN 0.085406 -0.327878 0.052270 -0.066030 -0.002209 \n", + "windspeed -0.091152 NaN 0.012960 0.155250 -0.037032 0.018021 -0.035967 \n", + "\n", + " weathersit temp atemp hum windspeed \n", + "season 0.002945 -0.253303 -0.223972 0.026825 -0.091152 \n", + "yr NaN NaN NaN NaN NaN \n", + "mnth 0.129539 -0.779969 -0.761877 0.085406 0.012960 \n", + "hr -0.011413 0.149610 0.146253 -0.327878 0.155250 \n", + "holiday -0.021687 -0.034763 -0.025364 0.052270 -0.037032 \n", + "weekday -0.030047 0.020362 -0.003897 -0.066030 0.018021 \n", + "workingday 0.050285 0.048787 0.036161 -0.002209 -0.035967 \n", + "weathersit 1.000000 -0.149031 -0.157319 0.387148 0.064587 \n", + "temp -0.149031 1.000000 0.975469 -0.222222 0.019468 \n", + "atemp -0.157319 0.975469 1.000000 -0.197731 -0.014842 \n", + "hum 0.387148 -0.222222 -0.197731 1.000000 -0.274399 \n", + "windspeed 0.064587 0.019468 -0.014842 -0.274399 1.000000 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#calcular la correlacion entre las variables de bike_test\n", + "bike_test.corr()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "season season 1.000000\n", + "temp atemp 0.975469\n", + "mnth temp 0.779969\n", + "atemp mnth 0.761877\n", + "mnth season 0.491815\n", + "hum weathersit 0.387148\n", + "hr hum 0.327878\n", + "hum windspeed 0.274399\n", + "holiday workingday 0.260756\n", + "season temp 0.253303\n", + "atemp season 0.223972\n", + "hum temp 0.222222\n", + " atemp 0.197731\n", + "atemp weathersit 0.157319\n", + "hr windspeed 0.155250\n", + " temp 0.149610\n", + "weathersit temp 0.149031\n", + "hr atemp 0.146253\n", + "weathersit mnth 0.129539\n", + "holiday weekday 0.101208\n", + "windspeed season 0.091152\n", + "hum mnth 0.085406\n", + " weekday 0.066030\n", + "windspeed weathersit 0.064587\n", + "holiday hum 0.052270\n", + "workingday weathersit 0.050285\n", + " temp 0.048787\n", + "weekday workingday 0.046774\n", + "mnth holiday 0.040445\n", + "holiday windspeed 0.037032\n", + "workingday atemp 0.036161\n", + "windspeed workingday 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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", + "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 condiciones 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": "iVBORw0KGgoAAAANSUhEUgAAAc8AAAHACAYAAADELuP+AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAlaElEQVR4nO3df1iVdZ7/8deNytGMHx4E4WygZpk6iWk2LGspJpPiXE5uTLuaXWE6WrtgKs3k8J0ycWYXJptGx3W03S2ddmVtaxRnnc2GnIBMZBUXrbY1cTHtEpDRFMFEhPv7R9vZzgDqR4H7wHk+ruu+Lu4f5+aNp+t6dp/7cLBs27YFAACuWZDTAwAA0N0QTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADPV2egB/0NLSopMnTyokJESWZTk9DgDAAbZt6/z58/J4PAoKuvK1JfGUdPLkScXGxjo9BgDAD5w4cUK33HLLFY8hnpJCQkIkffkPFhoa6vA0AAAn1NXVKTY21tuEKyGekvel2tDQUOIJAAHuWm7f8YYhAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADDkaz+LiYs2YMUMej0eWZSk/P99nv2VZbS6rVq3yHjNkyJBW+3Nzc7v4JwEABBJH/6pKQ0ODxowZo3nz5umhhx5qtb+qqspn/a233tL8+fOVmprqs33lypVasGCBd/1a/pxMT7F48WLV1tZKkiIjI7VmzRqHJwKAns/ReKakpCglJaXd/dHR0T7r27dv1+TJk3Xrrbf6bA8JCWl1bKCora1VTU2N02MAQEDpNvc8a2pq9Nvf/lbz589vtS83N1cREREaO3asVq1apcuXL1/xXI2Njaqrq/NZAAC4Vt3mj2H/6le/UkhISKuXd5966imNGzdObrdbe/bsUVZWlqqqqvTSSy+1e66cnBxlZ2d39sgAgB6q28Tz1Vdf1Zw5c9S3b1+f7ZmZmd6v4+PjFRwcrCeeeEI5OTlyuVxtnisrK8vncXV1dYqNje2cwQEAPU63iOd7772nw4cP6/XXX7/qsQkJCbp8+bKOHTumO+64o81jXC5Xu2EFAOBqusU9z1deeUV33323xowZc9Vjy8vLFRQUpKioqC6YDAAQiBy98qyvr1dFRYV3vbKyUuXl5XK73YqLi5P05Uuqb7zxhn72s5+1enxJSYlKS0s1efJkhYSEqKSkREuXLtWjjz6qAQMGdNnPAQAILI7Gc//+/Zo8ebJ3/av7kGlpadq0aZMkacuWLbJtW7Nnz271eJfLpS1btmjFihVqbGzU0KFDtXTpUp/7mQAAdDTLtm3b6SGcVldXp7CwMJ07d06hoaHtHnf3D17rwqmuTeiHbyroUoMkqSW4v+ru/K7DE7VWtuoxp0cAgKu61hZI3eSeJwAA/oR4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgqFt8MDza19Knf5tfAwA6D/Hs5urvSHF6BAAIOLxsCwCAIeIJAIAh4gkAgCHiCQCAId4wBAC4YYsXL1Ztba0kKTIyUmvWrHF4os5FPAEAN6y2tlY1NTVOj9FleNkWAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ8QTAABDxBMAAEPEEwAAQ72dHgDo7hYvXqza2lpJUmRkpNasWePwRAA6m6NXnsXFxZoxY4Y8Ho8sy1J+fr7P/rlz58qyLJ9l2rRpPsecOXNGc+bMUWhoqMLDwzV//nzV19d34U+BQFdbW6uamhrV1NR4IwqgZ3M0ng0NDRozZozWrVvX7jHTpk1TVVWVd/mXf/kXn/1z5szRRx99pIKCAu3YsUPFxcVauHBhZ48OAAhgjr5sm5KSopSUlCse43K5FB0d3ea+jz/+WDt37tS+ffs0fvx4SdLatWs1ffp0vfjii/J4PB0+MwAAfv+GocLCQkVFRemOO+7QX/3VX+n06dPefSUlJQoPD/eGU5KSk5MVFBSk0tLSds/Z2Niouro6nwUAgGvl1/GcNm2aXnvtNe3atUs//elPVVRUpJSUFDU3N0uSqqurFRUV5fOY3r17y+12q7q6ut3z5uTkKCwszLvExsZ26s8BAOhZ/PrdtrNmzfJ+PXr0aMXHx2vYsGEqLCzUlClTrvu8WVlZyszM9K7X1dURUADANfPrK88/duutt2rgwIGqqKiQJEVHR+vUqVM+x1y+fFlnzpxp9z6p9OV91NDQUJ8FAIBr1a3i+dlnn+n06dOKiYmRJCUmJurs2bMqKyvzHvP73/9eLS0tSkhIcGpMAEAP5+jLtvX19d6rSEmqrKxUeXm53G633G63srOzlZqaqujoaB09elTPPPOMbrvtNk2dOlWSNHLkSE2bNk0LFizQhg0b1NTUpIyMDM2aNYt32gIAOo2jV5779+/X2LFjNXbsWElSZmamxo4dq+XLl6tXr146dOiQvvOd72j48OGaP3++7r77br333ntyuVzec2zevFkjRozQlClTNH36dN177736+7//e6d+JABAAHD0yjMpKUm2bbe7/+23377qOdxut/Ly8jpyLAAArsiv320L/LHjK0c7PUIrl89GSOr1v1+f9MsZ45Z/4PQIQI/Srd4wBACAPyCeAAAYIp4AABgingAAGCKeAAAYIp4AABgingAAGCKeAAAYIp4AABgingAAGOLj+YAb5HY1t/k1gJ6LeAI36P+NPev0CAC6GC/bAgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgyNF4FhcXa8aMGfJ4PLIsS/n5+d59TU1NWrZsmUaPHq3+/fvL4/Hoscce08mTJ33OMWTIEFmW5bPk5uZ28U8CAAgkjsazoaFBY8aM0bp161rtu3Dhgg4cOKDnnntOBw4c0NatW3X48GF95zvfaXXsypUrVVVV5V0WLVrUFeMDAAJUbye/eUpKilJSUtrcFxYWpoKCAp9tf/d3f6dvfvObOn78uOLi4rzbQ0JCFB0d3amzAgDwlW51z/PcuXOyLEvh4eE+23NzcxUREaGxY8dq1apVunz5sjMDAgACgqNXniYuXryoZcuWafbs2QoNDfVuf+qppzRu3Di53W7t2bNHWVlZqqqq0ksvvdTuuRobG9XY2Ohdr6ur69TZAQA9S7eIZ1NTk/7iL/5Ctm1r/fr1PvsyMzO9X8fHxys4OFhPPPGEcnJy5HK52jxfTk6OsrOzO3VmAEDP5fcv234Vzk8//VQFBQU+V51tSUhI0OXLl3Xs2LF2j8nKytK5c+e8y4kTJzp4agBAT+bXV55fhfPIkSN69913FRERcdXHlJeXKygoSFFRUe0e43K52r0qBQDgahyNZ319vSoqKrzrlZWVKi8vl9vtVkxMjL773e/qwIED2rFjh5qbm1VdXS1JcrvdCg4OVklJiUpLSzV58mSFhISopKRES5cu1aOPPqoBAwY49WMBAHo4R+O5f/9+TZ482bv+1f3LtLQ0rVixQr/5zW8kSXfddZfP4959910lJSXJ5XJpy5YtWrFihRobGzV06FAtXbrU5z4oAAAdzdF4JiUlybbtdvdfaZ8kjRs3Tnv37u3osQAAuCK/f8MQAAD+hngCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYMjReBYXF2vGjBnyeDyyLEv5+fk++23b1vLlyxUTE6N+/fopOTlZR44c8TnmzJkzmjNnjkJDQxUeHq758+ervr6+C38KAECgcTSeDQ0NGjNmjNatW9fm/hdeeEG/+MUvtGHDBpWWlqp///6aOnWqLl686D1mzpw5+uijj1RQUKAdO3aouLhYCxcu7KofAQAQgHo7+c1TUlKUkpLS5j7btrV69Wo9++yzevDBByVJr732mgYNGqT8/HzNmjVLH3/8sXbu3Kl9+/Zp/PjxkqS1a9dq+vTpevHFF+XxeLrsZwEABA6/vedZWVmp6upqJScne7eFhYUpISFBJSUlkqSSkhKFh4d7wylJycnJCgoKUmlpabvnbmxsVF1dnc8CAMC1cvTK80qqq6slSYMGDfLZPmjQIO++6upqRUVF+ezv3bu33G6395i25OTkKDs7u4MnBuCUxYsXq7a2VpIUGRmpNWvWODwRejq/vfLsTFlZWTp37px3OXHihNMjAbgBtbW1qqmpUU1NjTeiQGfy23hGR0dLkmpqany219TUePdFR0fr1KlTPvsvX76sM2fOeI9pi8vlUmhoqM8CAMC18tt4Dh06VNHR0dq1a5d3W11dnUpLS5WYmChJSkxM1NmzZ1VWVuY95ve//71aWlqUkJDQ5TMDAAKDo/c86+vrVVFR4V2vrKxUeXm53G634uLitGTJEv3kJz/R7bffrqFDh+q5556Tx+PRzJkzJUkjR47UtGnTtGDBAm3YsEFNTU3KyMjQrFmzeKctAKDTOBrP/fv3a/Lkyd71zMxMSVJaWpo2bdqkZ555Rg0NDVq4cKHOnj2re++9Vzt37lTfvn29j9m8ebMyMjI0ZcoUBQUFKTU1Vb/4xS+6/GcBAAQOR+OZlJQk27bb3W9ZllauXKmVK1e2e4zb7VZeXl5njAcAQJuu657nypUrdeHChVbbv/jiiyuGDgCAnuC64pmdnd3m58deuHCB358EAPR41xVP27ZlWVar7QcPHpTb7b7hoQAA8GdG9zwHDBggy7JkWZaGDx/uE9Dm5mbV19frySef7PAhAQDwJ0bxXL16tWzb1rx585Sdna2wsDDvvuDgYA0ZMsT7O5gAAPRURvFMS0uT9OUHGPzZn/2Z+vTp0ylDAQDgz67rV1UmTZqklpYWffLJJzp16pRaWlp89k+cOLFDhgMAwB9dVzz37t2rRx55RJ9++mmr39O0LEvNzc0dMhwAAP7ouuL55JNPavz48frtb3+rmJiYNt95CwBAT3Vd8Txy5IjefPNN3XbbbR09DwA/N2HtBKdHaMVV55KlL/8nvrqu2i9nfH/R+06PgA50Xb/nmZCQ4POB7gAABJLruvJctGiRnn76aVVXV2v06NGt3nUbHx/fIcMBAOCPriueqampkqR58+Z5t1mW5f3kId4wBADoya4rnpWVlR09BwAA3cZ13fPMy8vTrl27NHjwYJ9l165d2rJlS0fPCACAX7mueL788ssaMWJEq+3f+MY3tGHDhhseCgAAf3Zd8ayurlZMTEyr7ZGRkaqqqrrhoQAA8GfXFc/Y2Fi9/37r31l6//335fF4bngoAAD82XW9YWjBggVasmSJmpqadP/990uSdu3apWeeeUZPP/10hw4IAIC/ua54/uAHP9Dp06f113/917p06ZIkqW/fvlq2bJmysrI6dEAAAPzNdcXTsiz99Kc/1XPPPaePP/5Y/fr10+233y6Xy9XR8wEA4HeuK55fufnmm3XPPfd01CwAAHQL1/WGIQAAAtkNXXkCgD+w+9ltfg10FuIJoNu7NPGS0yMgwPCyLQAAhognAACGiCcAAIaIJwAAhognAACGiCcAAIaIJwAAhognAACGiCcAAIaIJwAAhognAACGiCcAAIaIJwAAhognAACGiCcAAIaIJwAAhvw+nkOGDJFlWa2W9PR0SVJSUlKrfU8++aTDUwMAerLeTg9wNfv27VNzc7N3/cMPP9S3vvUtPfzww95tCxYs0MqVK73rN910U5fOCAAILH4fz8jISJ/13NxcDRs2TJMmTfJuu+mmmxQdHd3VowEAApTfv2z7dZcuXdI///M/a968ebIsy7t98+bNGjhwoO68805lZWXpwoULVzxPY2Oj6urqfBYAAK6V3195fl1+fr7Onj2ruXPnerc98sgjGjx4sDwejw4dOqRly5bp8OHD2rp1a7vnycnJUXZ2dhdMDADoibpVPF955RWlpKTI4/F4ty1cuND79ejRoxUTE6MpU6bo6NGjGjZsWJvnycrKUmZmpne9rq5OsbGxnTc4AHSgoomTrn5QF7vYu5f0v68IXqyu9rsZJxUXdej5uk08P/30U73zzjtXvKKUpISEBElSRUVFu/F0uVxyuVwdPiMAIDB0m3ueGzduVFRUlL797W9f8bjy8nJJUkxMTBdMBQAIRN3iyrOlpUUbN25UWlqaevf+v5GPHj2qvLw8TZ8+XRERETp06JCWLl2qiRMnKj4+3sGJAQA9WbeI5zvvvKPjx49r3rx5PtuDg4P1zjvvaPXq1WpoaFBsbKxSU1P17LPPOjQpACAQdIt4PvDAA7Jtu9X22NhYFRV17E1gAACuptvc8wQAwF8QTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADBFPAAAMEU8AAAwRTwAADPl1PFesWCHLsnyWESNGePdfvHhR6enpioiI0M0336zU1FTV1NQ4ODEAIBD4dTwl6Rvf+Iaqqqq8y+7du737li5dqn/7t3/TG2+8oaKiIp08eVIPPfSQg9MCAAJBb6cHuJrevXsrOjq61fZz587plVdeUV5enu6//35J0saNGzVy5Ejt3btXf/qnf9rVowIAAoTfX3keOXJEHo9Ht956q+bMmaPjx49LksrKytTU1KTk5GTvsSNGjFBcXJxKSkqueM7GxkbV1dX5LAAAXCu/jmdCQoI2bdqknTt3av369aqsrNR9992n8+fPq7q6WsHBwQoPD/d5zKBBg1RdXX3F8+bk5CgsLMy7xMbGduJPAQDoafz6ZduUlBTv1/Hx8UpISNDgwYP1r//6r+rXr991nzcrK0uZmZne9bq6OgIKALhmfn3l+cfCw8M1fPhwVVRUKDo6WpcuXdLZs2d9jqmpqWnzHunXuVwuhYaG+iwAAFyrbhXP+vp6HT16VDExMbr77rvVp08f7dq1y7v/8OHDOn78uBITEx2cEgDQ0/n1y7bf//73NWPGDA0ePFgnT57U888/r169emn27NkKCwvT/PnzlZmZKbfbrdDQUC1atEiJiYm80xYA0Kn8Op6fffaZZs+erdOnTysyMlL33nuv9u7dq8jISEnSz3/+cwUFBSk1NVWNjY2aOnWqfvnLXzo8NQCgp/PreG7ZsuWK+/v27at169Zp3bp1XTQRAADd7J4nAAD+gHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGCIeAIAYIh4AgBgiHgCAGDIr+OZk5Oje+65RyEhIYqKitLMmTN1+PBhn2OSkpJkWZbP8uSTTzo0MQAgEPh1PIuKipSenq69e/eqoKBATU1NeuCBB9TQ0OBz3IIFC1RVVeVdXnjhBYcmBgAEgt5OD3AlO3fu9FnftGmToqKiVFZWpokTJ3q333TTTYqOju7q8QAAAcqvrzz/2Llz5yRJbrfbZ/vmzZs1cOBA3XnnncrKytKFCxecGA8AECD8+srz61paWrRkyRJNmDBBd955p3f7I488osGDB8vj8ejQoUNatmyZDh8+rK1bt7Z7rsbGRjU2NnrX6+rqOnV2AEDP0m3imZ6erg8//FC7d+/22b5w4ULv16NHj1ZMTIymTJmio0ePatiwYW2eKycnR9nZ2Z06LwCg5+oWL9tmZGRox44devfdd3XLLbdc8diEhARJUkVFRbvHZGVl6dy5c97lxIkTHTovAKBn8+srT9u2tWjRIm3btk2FhYUaOnToVR9TXl4uSYqJiWn3GJfLJZfL1VFjAgACjF/HMz09XXl5edq+fbtCQkJUXV0tSQoLC1O/fv109OhR5eXlafr06YqIiNChQ4e0dOlSTZw4UfHx8Q5PDwDoqfw6nuvXr5f05QchfN3GjRs1d+5cBQcH65133tHq1avV0NCg2NhYpaam6tlnn3VgWgBAoPDreNq2fcX9sbGxKioq6qJpAADtCbUlyf7a1z2bX8cTANA9PN7c7PQIXapbvNsWAAB/QjwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAw1GPiuW7dOg0ZMkR9+/ZVQkKC/uM//sPpkQAAPVSPiOfrr7+uzMxMPf/88zpw4IDGjBmjqVOn6tSpU06PBgDogXpEPF966SUtWLBAjz/+uEaNGqUNGzbopptu0quvvur0aACAHqjbx/PSpUsqKytTcnKyd1tQUJCSk5NVUlLi4GQAgJ6qt9MD3Kg//OEPam5u1qBBg3y2Dxo0SP/93//d5mMaGxvV2NjoXT937pwkqa6u7orfq7nxixucNjBd7d/VxPmLzR12rkDSkc/B5S8ud9i5AklHPgcNl3kOTF3Lv/9Xx9i2fdVju308r0dOTo6ys7NbbY+NjXVgmp4vbO2TTo+AnDCnJwh4Yct4DhwVdu3//ufPn1fYVY7v9vEcOHCgevXqpZqaGp/tNTU1io6ObvMxWVlZyszM9K63tLTozJkzioiIkGVZnTpvZ6irq1NsbKxOnDih0NBQp8cJSDwHzuM5cF53fw5s29b58+fl8Xiuemy3j2dwcLDuvvtu7dq1SzNnzpT0ZQx37dqljIyMNh/jcrnkcrl8toWHh3fypJ0vNDS0W/4H25PwHDiP58B53fk5uNoV51e6fTwlKTMzU2lpaRo/fry++c1vavXq1WpoaNDjjz/u9GgAgB6oR8TzL//yL1VbW6vly5erurpad911l3bu3NnqTUQAAHSEHhFPScrIyGj3ZdqezuVy6fnnn2/1UjS6Ds+B83gOnBdIz4FlX8t7cgEAgFe3/5AEAAC6GvEEAMAQ8QQAwBDxBADAEPHsxoqLizVjxgx5PB5ZlqX8/HynRwo4OTk5uueeexQSEqKoqCjNnDlThw8fdnqsgLJ+/XrFx8d7fzE/MTFRb731ltNjBazc3FxZlqUlS5Y4PUqnIp7dWENDg8aMGaN169Y5PUrAKioqUnp6uvbu3auCggI1NTXpgQceUENDg9OjBYxbbrlFubm5Kisr0/79+3X//ffrwQcf1EcffeT0aAFn3759evnllxUfH+/0KJ2OX1XpISzL0rZt27wfUQhn1NbWKioqSkVFRZo4caLT4wQst9utVatWaf78+U6PEjDq6+s1btw4/fKXv9RPfvIT3XXXXVq9erXTY3UarjyBDvTVn7dzu90OTxKYmpubtWXLFjU0NCgxMdHpcQJKenq6vv3tb/v8beWerMd8whDgtJaWFi1ZskQTJkzQnXfe6fQ4AeWDDz5QYmKiLl68qJtvvlnbtm3TqFGjnB4rYGzZskUHDhzQvn37nB6lyxBPoIOkp6frww8/1O7du50eJeDccccdKi8v17lz5/Tmm28qLS1NRUVFBLQLnDhxQosXL1ZBQYH69u3r9DhdhnuePQT3PJ2VkZGh7du3q7i4WEOHDnV6nICXnJysYcOG6eWXX3Z6lB4vPz9ff/7nf65evXp5tzU3N8uyLAUFBamxsdFnX0/BlSdwA2zb1qJFi7Rt2zYVFhYSTj/R0tKixsZGp8cICFOmTNEHH3zgs+3xxx/XiBEjtGzZsh4ZTol4dmv19fWqqKjwrldWVqq8vFxut1txcXEOThY40tPTlZeXp+3btyskJETV1dWSvvyDuv369XN4usCQlZWllJQUxcXF6fz588rLy1NhYaHefvttp0cLCCEhIa3u8ffv318RERE9+t4/8ezG9u/fr8mTJ3vXMzMzJUlpaWnatGmTQ1MFlvXr10uSkpKSfLZv3LhRc+fO7fqBAtCpU6f02GOPqaqqSmFhYYqPj9fbb7+tb33rW06Phh6Me54AABji9zwBADBEPAEAMEQ8AQAwRDwBADBEPAEAMEQ8AQAwRDwBADBEPIEAl5SUpCVLlnT59507dy6fxYxui3gCAaKwsFCWZens2bNOjyJJWrNmjc8nYTkVceB68PF8ADrcpUuXFBwcfMVjwsLCumgaoONx5Qk4ZMeOHQoPD1dzc7Mkqby8XJZl6Yc//KH3mO9973t69NFHJUm7d+/Wfffdp379+ik2NlZPPfWUGhoavMf+0z/9k8aPH6+QkBBFR0frkUce0alTpyRJx44d834O8oABA2RZls9n77a0tOiZZ56R2+1WdHS0VqxY4TPr2bNn9b3vfU+RkZEKDQ3V/fffr4MHD3r3r1ixQnfddZf+8R//UUOHDvX+Xcc333xTo0ePVr9+/RQREaHk5GTvzF9/2Xbu3LkqKirSmjVrZFmWLMvSsWPHbvwfGegkxBNwyH333afz58/rP//zPyVJRUVFGjhwoAoLC73HFBUVKSkpSUePHtW0adOUmpqqQ4cO6fXXX9fu3buVkZHhPbapqUk//vGPdfDgQeXn5+vYsWPeQMbGxurXv/61JOnw4cOqqqrSmjVrvI/91a9+pf79+6u0tFQvvPCCVq5cqYKCAu/+hx9+WKdOndJbb72lsrIyjRs3TlOmTNGZM2e8x1RUVOjXv/61tm7dqvLyclVVVWn27NmaN2+ePv74YxUWFuqhhx5SWx+nvWbNGiUmJmrBggWqqqpSVVWVYmNjO+TfGegUNgDHjBs3zl61apVt27Y9c+ZM+2/+5m/s4OBg+/z58/Znn31mS7I/+eQTe/78+fbChQt9Hvvee+/ZQUFB9hdffNHmufft22dLss+fP2/btm2/++67tiT7888/9zlu0qRJ9r333uuz7Z577rGXLVvm/T6hoaH2xYsXfY4ZNmyY/fLLL9u2bdvPP/+83adPH/vUqVPe/WVlZbYk+9ixY23Ol5aWZj/44IM+cyxevLjNYwF/w5Un4KBJkyapsLBQtm3rvffe00MPPaSRI0dq9+7dKioqksfj0e23366DBw9q06ZNuvnmm73L1KlT1dLSosrKSklSWVmZZsyYobi4OIWEhGjSpEmSpOPHj191jvj4eJ/1mJgY70u+Bw8eVH19vSIiIny+f2VlpY4ePep9zODBgxUZGeldHzNmjKZMmaLRo0fr4Ycf1j/8wz/o888/v+F/M8Af8IYhwEFJSUl69dVXdfDgQfXp00cjRoxQUlKSCgsL9fnnn3sDWF9fryeeeEJPPfVUq3PExcWpoaFBU6dO1dSpU7V582ZFRkbq+PHjmjp1qi5dunTVOfr06eOzblmWWlpavN87JibG5+Xkr4SHh3u/7t+/v8++Xr16qaCgQHv27NHvfvc7rV27Vj/60Y9UWlqqoUOHXnUmwJ8RT8BBX933/PnPf+4NZVJSknJzc/X555/r6aefliSNGzdO//Vf/6XbbrutzfN88MEHOn36tHJzc733Cvfv3+9zzFfvfv3qDUrXaty4caqurlbv3r01ZMgQo8dalqUJEyZowoQJWr58uQYPHqxt27Z5/3D7H89nOhvgFF62BRw0YMAAxcfHa/PmzUpKSpIkTZw4UQcOHNAnn3ziDeqyZcu0Z88eZWRkqLy8XEeOHNH27du9bxiKi4tTcHCw1q5dq//5n//Rb37zG/34xz/2+V6DBw+WZVnasWOHamtrVV9ff00zJicnKzExUTNnztTvfvc7HTt2THv27NGPfvSjVoH+utLSUv3t3/6t9u/fr+PHj2vr1q2qra3VyJEj2zx+yJAhKi0t1bFjx/SHP/zBe+UL+CPiCThs0qRJam5u9sbT7XZr1KhRio6O1h133CHpy3uSRUVF+uSTT3Tfffdp7NixWr58uTwejyQpMjJSmzZt0htvvKFRo0YpNzdXL774os/3+ZM/+RNlZ2frhz/8oQYNGuTzTt0rsSxL//7v/66JEyfq8ccf1/DhwzVr1ix9+umnGjRoULuPCw0NVXFxsaZPn67hw4fr2Wef1c9+9jOlpKS0efz3v/999erVS6NGjfK+7Az4K8u223jfOAAAaBdXngAAGCKeAAAYIp4AABgingAAGCKeAAAYIp4AABgingAAGCKeAAAYIp4AABgingAAGCKeAAAYIp4AABj6/9wjrcaxLwyhAAAAAElFTkSuQmCC", + "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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", + "text/plain": [ + "
" + ] + }, + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeedcnt
0734138101006010.240.290.810.016
1734138101106010.220.270.800.040
2734138101206010.220.270.800.032
3734138101306010.240.290.750.013
4734138101406010.240.290.750.01
\n", + "
" + ], + "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": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
dtedayseasonyrmnthhrholidayweekdayworkingdayweathersittempatemphumwindspeed
0734643215400010.520.500.680.0896
1734643215500010.500.480.720.1045
2734643215600010.500.480.630.1343
3734643215700010.520.500.680.1940
4734643215800010.560.530.560.1642
\n", + "
" + ], + "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)
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": [ + "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_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" + ] + }, + { + "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_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" + ] + }, + { + "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": 72, + "metadata": {}, + "outputs": [], + "source": [ + "criszam99 = pd.DataFrame(df_resultado)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "metadata": {}, + "outputs": [], + "source": [ + "criszam99.to_csv('./criszam99.csv',index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "metadata": {}, + "outputs": [], + "source": [ + "#agregar nombre de columna al archivo criszam99\n", + "criszam99.columns = ['pred']\n", + "criszam99.to_csv('./criszam99.csv',index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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, + "nbformat_minor": 2 +} diff --git a/criszam99.csv b/criszam99.csv new file mode 100644 index 0000000..93c976c --- /dev/null +++ b/criszam99.csv @@ -0,0 +1,5381 @@ +pred +11.87 +10.84 +33.68 +72.64 +161.59 +245.76 +392.06 +537.33 +621.99 +625.56 +606.64 +596.4 +574.82 +619.65 +517.36 +376.53 +302.02 +228.06 +171.3 +74.38 +39.2 +15.59 +9.97 +4.29 +4.61 +19.69 +83.36 +161.72 +311.91 +160.93 +105.8 +158.46 +274.11 +144.81 +134.12 +238.9 +399.37 +755.62 +766.45 +522.5 +366.22 +257.65 +164.51 +97.78 +42.57 +17.18 +12.31 +4.15 +4.72 +19.33 +83.79 +164.68 +548.56 +341.51 +175.78 +217.78 +268.92 +270.83 +234.05 +287.94 +393.31 +805.58 +784.45 +528.26 +379.87 +313.82 +182.24 +100.02 +53.69 +20.14 +13.42 +4.44 +4.2 +21.11 +159.38 +427.1 +593.67 +343.04 +182.0 +239.13 +312.79 +283.05 +282.42 +283.49 +332.68 +603.08 +605.35 +412.56 +248.34 +225.72 +183.55 +101.69 +58.23 +24.95 +14.53 +4.72 +4.57 +31.41 +156.38 +425.57 +592.31 +341.72 +189.32 +254.2 +329.25 +325.8 +281.64 +285.58 +400.99 +807.41 +802.17 +545.88 +373.07 +174.05 +262.36 +138.65 +69.94 +47.03 +16.2 +10.63 +8.24 +31.36 +157.7 +417.54 +566.75 +316.83 +252.36 +269.91 +344.18 +362.45 +365.35 +368.61 +506.07 +759.91 +750.44 +527.36 +382.03 +277.8 +287.23 +223.56 +151.48 +111.13 +72.0 +48.66 +11.33 +15.83 +46.74 +127.81 +202.3 +281.8 +424.27 +537.35 +571.23 +575.51 +572.16 +565.34 +551.12 +616.77 +579.3 +441.19 +323.87 +243.11 +292.13 +220.02 +146.56 +111.27 +71.59 +54.85 +12.76 +17.28 +38.22 +81.65 +166.22 +238.81 +382.21 +486.0 +543.22 +548.05 +540.58 +540.25 +543.45 +647.78 +593.89 +390.65 +314.17 +173.57 +155.91 +71.02 +123.73 +94.59 +43.95 +38.4 +14.61 +27.3 +77.74 +330.34 +371.79 +341.14 +271.54 +270.48 +292.02 +286.64 +283.83 +289.22 +400.03 +683.95 +652.43 +475.2 +339.06 +263.11 +215.71 +101.15 +47.62 +17.9 +13.72 +4.45 +4.86 +30.5 +161.04 +398.8 +586.18 +355.15 +187.82 +253.65 +326.73 +326.66 +279.44 +283.9 +388.97 +815.61 +806.04 +532.95 +315.19 +144.79 +150.41 +65.16 +40.25 +15.94 +9.92 +4.54 +4.87 +30.82 +157.49 +221.13 +594.12 +351.47 +176.01 +232.59 +330.85 +330.24 +280.62 +283.67 +390.88 +821.54 +810.5 +550.42 +343.55 +273.9 +219.09 +112.41 +64.2 +26.9 +14.19 +4.74 +4.93 +33.04 +160.25 +438.76 +598.67 +360.44 +215.87 +267.33 +322.75 +322.87 +289.35 +295.07 +406.07 +821.85 +805.59 +542.85 +397.85 +270.28 +290.56 +145.45 +73.69 +46.47 +17.33 +10.28 +8.47 +30.54 +102.63 +413.24 +566.75 +302.95 +241.67 +270.15 +312.2 +328.88 +283.59 +290.22 +425.94 +596.86 +344.1 +287.19 +200.57 +180.03 +183.46 +206.97 +134.3 +113.49 +70.7 +48.23 +10.99 +10.87 +47.58 +95.49 +198.49 +300.78 +432.76 +543.91 +647.17 +655.8 +659.24 +647.49 +592.64 +575.27 +514.1 +462.3 +313.44 +270.37 +270.37 +189.17 +129.9 +113.93 +71.05 +51.01 +11.75 +10.31 +34.2 +66.26 +160.58 +245.76 +402.16 +515.49 +620.03 +626.65 +618.7 +607.85 +576.07 +582.51 +512.52 +381.19 +311.15 +221.86 +182.71 +94.79 +46.82 +15.36 +14.13 +4.04 +4.71 +31.14 +157.34 +409.52 +554.98 +356.59 +201.13 +231.53 +326.25 +326.14 +284.67 +286.68 +395.82 +758.69 +750.63 +504.87 +377.8 +255.04 +176.52 +94.19 +48.22 +15.35 +10.6 +4.48 +4.96 +19.91 +167.91 +413.91 +578.23 +340.71 +185.2 +227.87 +311.46 +328.95 +274.16 +276.81 +395.9 +760.94 +755.39 +538.05 +381.57 +263.14 +186.28 +98.75 +50.25 +19.41 +13.56 +4.54 +4.5 +32.5 +167.75 +428.92 +592.0 +340.96 +203.94 +259.72 +326.26 +330.0 +280.97 +286.06 +397.6 +763.35 +592.9 +517.76 +376.66 +268.41 +183.39 +100.87 +64.66 +24.22 +12.67 +4.99 +4.95 +31.96 +164.92 +421.28 +592.02 +334.45 +196.15 +267.76 +332.6 +324.15 +288.03 +296.44 +407.91 +818.81 +799.23 +543.0 +413.3 +270.5 +281.34 +134.5 +71.81 +47.15 +18.08 +11.19 +9.28 +32.19 +160.31 +425.31 +580.69 +311.65 +265.4 +283.51 +368.55 +381.87 +360.28 +374.34 +509.61 +795.95 +782.1 +519.33 +383.73 +274.38 +292.59 +224.58 +148.78 +112.06 +67.81 +51.0 +12.35 +16.76 +45.75 +114.68 +207.18 +300.76 +443.67 +600.25 +631.08 +619.48 +617.09 +599.47 +557.81 +645.27 +622.98 +483.46 +332.04 +271.45 +297.93 +220.69 +147.14 +113.34 +74.55 +54.85 +12.91 +16.34 +37.62 +80.63 +165.86 +241.09 +407.06 +499.92 +585.77 +575.9 +585.38 +568.37 +551.44 +647.78 +611.0 +398.78 +315.3 +237.35 +192.83 +98.46 +49.36 +22.57 +12.69 +4.39 +4.7 +30.42 +156.85 +401.68 +549.71 +348.58 +189.78 +216.5 +320.31 +314.19 +281.65 +281.67 +391.36 +779.4 +769.26 +471.42 +341.95 +233.38 +192.71 +100.44 +49.2 +17.73 +12.98 +4.1 +4.59 +19.2 +156.41 +169.88 +554.93 +343.85 +164.72 +182.59 +190.25 +189.58 +179.12 +184.2 +359.07 +448.53 +524.81 +470.66 +272.93 +272.52 +177.39 +82.02 +40.91 +19.1 +13.64 +4.67 +4.56 +33.09 +159.84 +427.53 +594.12 +351.47 +180.15 +240.27 +325.45 +324.87 +283.39 +294.59 +395.93 +817.09 +803.92 +542.56 +402.69 +270.4 +214.32 +114.57 +63.25 +28.24 +12.28 +4.85 +4.98 +29.63 +157.74 +439.71 +598.32 +362.86 +189.32 +258.71 +319.71 +329.28 +286.01 +285.39 +401.45 +823.42 +802.33 +541.09 +416.55 +281.04 +278.38 +142.37 +80.93 +47.03 +17.67 +11.23 +8.6 +33.7 +164.66 +427.01 +579.14 +297.08 +259.28 +288.06 +369.31 +381.94 +379.19 +385.95 +539.43 +757.98 +744.71 +511.14 +371.71 +269.15 +293.72 +222.89 +151.69 +112.82 +70.14 +49.33 +10.99 +12.56 +45.95 +113.81 +199.48 +300.3 +442.07 +582.21 +655.65 +698.73 +688.51 +656.06 +580.74 +587.78 +572.16 +428.7 +319.33 +242.63 +286.44 +219.0 +131.28 +116.64 +73.8 +51.2 +10.56 +13.43 +36.22 +72.36 +161.8 +242.06 +385.51 +463.1 +543.78 +587.25 +578.15 +581.73 +561.05 +537.81 +434.06 +369.27 +295.26 +227.72 +179.44 +93.53 +49.52 +17.38 +12.48 +4.44 +4.67 +20.14 +87.29 +116.0 +532.56 +328.36 +105.42 +149.62 +134.09 +262.4 +264.19 +266.83 +398.7 +724.0 +729.65 +468.1 +320.76 +242.36 +164.5 +73.16 +48.82 +16.07 +11.55 +4.21 +4.8 +28.47 +157.8 +385.65 +581.46 +352.39 +187.39 +246.3 +328.15 +326.86 +279.44 +284.0 +388.87 +803.93 +798.64 +538.0 +386.6 +273.34 +188.64 +98.25 +50.93 +19.63 +14.29 +4.69 +4.78 +32.57 +156.26 +407.38 +594.79 +350.3 +198.25 +260.1 +330.44 +331.11 +275.75 +293.33 +392.45 +811.81 +799.6 +534.63 +404.7 +270.79 +222.7 +109.53 +64.46 +25.59 +12.21 +4.9 +5.71 +31.87 +157.04 +415.49 +598.64 +363.72 +205.01 +267.5 +320.41 +320.53 +286.38 +295.07 +405.97 +811.78 +802.33 +535.31 +398.47 +269.64 +293.87 +142.86 +74.0 +46.88 +19.35 +10.69 +9.6 +29.47 +155.84 +439.14 +583.87 +309.41 +265.25 +285.83 +370.25 +381.83 +377.95 +373.74 +514.48 +741.85 +725.09 +471.59 +350.01 +174.48 +290.51 +223.51 +150.92 +111.45 +71.43 +49.35 +11.84 +15.47 +47.62 +109.25 +208.14 +302.32 +440.98 +563.12 +605.51 +631.06 +635.53 +615.51 +559.83 +647.39 +632.56 +483.46 +325.57 +271.92 +301.33 +222.16 +148.11 +113.81 +74.76 +52.88 +11.87 +16.32 +36.76 +81.72 +163.71 +245.63 +407.06 +521.26 +600.98 +605.29 +585.38 +553.63 +538.12 +644.28 +615.55 +396.03 +315.3 +232.94 +194.88 +97.58 +48.6 +21.91 +13.29 +5.01 +5.62 +30.35 +157.39 +410.72 +554.81 +348.58 +192.34 +232.36 +320.27 +325.21 +279.07 +281.35 +392.43 +812.34 +799.94 +530.17 +384.44 +256.62 +195.72 +99.81 +47.45 +17.17 +14.16 +4.06 +4.78 +30.61 +160.16 +388.19 +582.25 +341.51 +212.67 +257.58 +324.94 +325.81 +292.9 +294.78 +397.61 +815.72 +803.12 +538.81 +398.13 +274.03 +205.67 +100.0 +50.22 +18.87 +13.93 +3.98 +5.27 +32.89 +157.52 +439.59 +600.86 +379.55 +212.33 +256.39 +321.41 +321.11 +289.67 +294.43 +395.24 +819.98 +806.75 +545.49 +404.08 +276.4 +219.75 +118.58 +63.48 +28.52 +12.57 +5.04 +5.9 +32.1 +157.77 +439.38 +598.87 +363.06 +205.13 +264.3 +320.37 +320.29 +291.25 +296.93 +409.24 +819.55 +807.77 +544.66 +407.21 +271.24 +290.53 +144.68 +72.53 +46.31 +17.74 +10.26 +8.75 +31.77 +155.76 +437.54 +583.2 +313.5 +259.85 +284.38 +365.21 +381.46 +376.21 +382.27 +518.32 +794.6 +781.06 +515.89 +374.9 +244.17 +254.5 +218.65 +152.16 +108.43 +71.08 +49.46 +9.73 +13.56 +47.39 +115.64 +206.73 +287.6 +437.68 +590.04 +631.37 +637.39 +637.64 +615.51 +561.75 +659.24 +644.47 +474.12 +327.59 +262.11 +299.14 +220.23 +148.07 +111.39 +72.1 +53.32 +11.37 +17.58 +40.67 +81.42 +164.7 +241.75 +407.44 +519.87 +596.01 +605.29 +599.35 +576.01 +551.18 +630.35 +610.87 +396.23 +321.27 +226.53 +191.27 +88.08 +49.98 +15.8 +12.96 +4.75 +5.78 +28.28 +154.58 +409.97 +555.36 +353.36 +198.75 +232.82 +320.5 +320.62 +287.39 +293.7 +390.52 +811.95 +799.68 +523.66 +379.14 +253.19 +203.36 +99.5 +49.42 +16.93 +13.5 +4.71 +6.14 +30.22 +157.84 +409.25 +591.6 +362.11 +205.48 +258.39 +321.22 +321.25 +289.57 +289.31 +398.02 +791.85 +778.92 +476.18 +317.7 +241.38 +187.2 +104.64 +122.55 +98.95 +47.49 +36.8 +11.64 +21.24 +77.03 +318.46 +371.86 +343.36 +282.29 +281.29 +294.82 +292.01 +289.23 +287.31 +393.12 +689.88 +657.91 +476.95 +352.32 +293.03 +237.6 +115.34 +63.1 +26.6 +12.53 +5.18 +5.64 +31.82 +157.77 +439.19 +598.43 +360.73 +206.61 +266.89 +320.41 +320.53 +289.35 +295.07 +406.09 +821.85 +770.81 +476.88 +363.82 +268.5 +290.44 +143.66 +73.31 +46.79 +18.04 +10.24 +9.52 +31.66 +158.0 +439.92 +579.49 +309.5 +258.62 +277.21 +359.17 +366.67 +360.28 +374.34 +509.61 +795.95 +781.21 +518.04 +383.88 +267.32 +293.32 +222.19 +148.07 +108.65 +68.15 +50.48 +11.96 +17.44 +46.6 +120.72 +206.49 +302.4 +447.61 +575.06 +631.37 +622.85 +624.11 +611.12 +553.32 +647.39 +632.56 +482.86 +339.42 +267.07 +298.39 +220.51 +149.01 +114.33 +71.35 +54.15 +10.19 +14.93 +37.87 +80.78 +168.98 +247.03 +403.46 +515.08 +588.37 +596.91 +595.12 +536.36 +535.7 +646.09 +604.0 +393.88 +315.25 +234.14 +174.13 +81.32 +38.91 +15.68 +9.31 +4.18 +4.91 +28.94 +83.93 +173.42 +541.0 +343.71 +147.87 +210.16 +316.98 +316.47 +274.76 +279.23 +388.34 +803.67 +801.41 +532.87 +340.23 +234.27 +195.04 +98.89 +50.79 +17.79 +12.98 +5.07 +5.79 +30.3 +157.8 +395.73 +586.18 +355.3 +197.89 +259.63 +323.99 +320.68 +275.65 +281.2 +388.57 +816.1 +615.37 +359.74 +190.73 +130.61 +171.53 +107.85 +43.8 +18.83 +13.29 +5.24 +5.6 +33.14 +159.42 +418.01 +594.79 +350.3 +188.78 +238.19 +321.47 +319.98 +277.77 +281.3 +391.11 +820.25 +799.6 +541.92 +392.54 +274.22 +221.29 +111.2 +64.77 +24.54 +12.12 +5.41 +5.89 +32.35 +160.25 +439.32 +598.32 +364.24 +205.13 +268.59 +320.41 +320.53 +289.35 +295.07 +404.35 +814.85 +809.66 +541.58 +398.47 +270.45 +290.56 +144.59 +72.87 +45.05 +17.98 +9.75 +8.34 +29.43 +155.76 +427.19 +581.5 +317.62 +263.72 +284.72 +365.21 +378.43 +374.35 +378.6 +519.43 +746.11 +762.94 +517.08 +372.31 +270.61 +293.95 +225.58 +146.64 +108.84 +67.28 +50.18 +10.57 +17.01 +50.63 +112.47 +202.3 +298.95 +437.27 +542.5 +557.62 +554.83 +585.93 +572.65 +494.24 +375.83 +554.1 +429.58 +241.68 +235.83 +286.2 +216.05 +150.99 +111.72 +70.25 +49.5 +9.61 +13.91 +39.25 +80.8 +193.15 +255.72 +389.89 +488.79 +546.97 +591.53 +592.57 +531.82 +552.89 +646.09 +406.47 +363.56 +305.3 +235.82 +174.74 +94.7 +47.22 +18.06 +12.65 +5.01 +5.73 +30.75 +157.47 +410.16 +555.13 +353.93 +190.24 +227.89 +325.11 +325.21 +278.54 +283.61 +336.22 +624.37 +791.45 +531.62 +372.69 +259.65 +198.73 +98.47 +43.0 +16.96 +13.67 +4.46 +5.56 +29.96 +157.84 +395.17 +589.48 +359.66 +196.53 +245.73 +312.62 +321.56 +287.71 +293.23 +392.47 +817.81 +804.12 +537.66 +398.61 +268.84 +208.95 +100.96 +53.85 +17.24 +13.36 +4.84 +5.35 +32.35 +157.59 +438.5 +601.04 +364.34 +210.31 +258.34 +321.41 +321.53 +275.75 +203.63 +394.34 +809.07 +777.39 +479.84 +392.96 +275.92 +220.78 +110.55 +64.32 +25.75 +12.54 +4.99 +5.58 +29.92 +157.89 +439.19 +598.67 +361.61 +197.79 +259.32 +325.02 +329.54 +281.58 +285.39 +400.83 +812.53 +802.33 +540.1 +395.59 +133.16 +180.9 +98.74 +50.89 +46.68 +18.05 +9.83 +8.26 +30.81 +157.7 +413.24 +574.57 +313.49 +253.37 +238.22 +237.92 +246.49 +247.82 +320.07 +455.98 +447.49 +602.56 +416.25 +195.11 +165.6 +244.57 +215.56 +152.05 +109.86 +75.41 +51.98 +9.32 +10.54 +45.05 +127.78 +219.65 +301.57 +357.85 +485.63 +462.48 +465.53 +430.11 +388.52 +308.43 +282.09 +345.03 +388.18 +182.51 +204.41 +227.53 +208.41 +154.33 +117.85 +73.26 +48.69 +11.07 +13.71 +37.9 +100.6 +188.83 +259.67 +388.07 +477.63 +542.1 +558.57 +542.67 +538.64 +544.91 +633.42 +590.66 +386.53 +312.67 +232.17 +177.04 +97.08 +42.61 +17.97 +11.2 +4.75 +5.57 +28.94 +152.67 +396.02 +549.11 +346.31 +182.0 +213.2 +316.58 +315.82 +274.76 +283.26 +388.7 +819.63 +801.16 +527.2 +372.58 +257.76 +203.49 +97.82 +51.09 +17.94 +13.16 +4.99 +5.57 +30.3 +160.4 +410.0 +591.6 +364.38 +199.38 +243.27 +317.92 +317.14 +275.48 +283.9 +388.87 +824.59 +799.51 +538.75 +397.23 +275.12 +206.17 +98.86 +50.9 +18.75 +13.64 +4.98 +5.83 +32.48 +157.59 +439.26 +600.86 +381.75 +212.33 +258.14 +321.41 +321.53 +287.81 +293.33 +393.41 +820.25 +806.75 +543.5 +403.68 +270.2 +221.29 +111.92 +64.27 +27.13 +12.61 +5.0 +5.59 +32.01 +160.98 +439.32 +593.0 +353.1 +186.67 +254.49 +325.73 +325.8 +281.61 +284.33 +403.59 +820.55 +802.33 +542.02 +395.59 +270.21 +290.07 +145.57 +74.5 +47.35 +19.62 +10.21 +8.94 +32.0 +161.87 +437.77 +582.86 +315.51 +264.63 +284.87 +370.25 +384.24 +380.93 +384.56 +502.45 +766.67 +762.94 +516.12 +369.75 +268.64 +293.23 +222.27 +149.6 +108.65 +70.63 +50.22 +11.26 +17.3 +46.32 +120.08 +207.9 +302.4 +441.48 +575.06 +605.12 +610.41 +614.55 +614.94 +561.25 +662.16 +635.89 +423.71 +244.83 +310.72 +286.54 +217.18 +150.52 +115.41 +73.17 +53.83 +11.31 +18.2 +37.79 +81.72 +164.93 +241.68 +391.91 +492.06 +554.65 +553.1 +539.26 +563.77 +552.89 +647.78 +609.12 +390.4 +314.54 +236.83 +177.92 +97.38 +51.99 +20.66 +12.72 +4.87 +5.43 +30.61 +156.71 +401.68 +547.17 +346.12 +171.91 +211.99 +316.98 +325.21 +278.33 +283.16 +388.68 +798.37 +792.79 +527.2 +381.67 +262.8 +177.34 +97.66 +48.28 +17.82 +13.16 +4.99 +5.57 +30.3 +159.82 +393.7 +585.58 +355.15 +190.07 +253.65 +330.47 +326.83 +279.44 +283.25 +388.81 +824.59 +798.64 +364.43 +318.45 +292.34 +193.17 +103.12 +49.77 +18.97 +13.37 +5.21 +5.8 +30.7 +160.66 +418.01 +594.79 +350.3 +188.04 +252.07 +326.02 +326.63 +280.26 +284.45 +389.85 +821.58 +630.37 +545.63 +406.53 +280.41 +213.28 +104.68 +66.36 +22.88 +12.88 +5.23 +5.75 +32.81 +160.34 +430.63 +593.56 +355.19 +197.92 +263.33 +329.85 +330.03 +280.23 +284.83 +400.83 +830.3 +800.58 +545.51 +408.37 +275.08 +283.52 +142.74 +73.6 +47.02 +20.37 +9.96 +8.55 +32.45 +161.1 +437.48 +583.18 +310.12 +264.38 +285.97 +364.09 +380.78 +375.86 +384.92 +520.21 +732.85 +725.11 +474.31 +359.21 +246.63 +286.91 +222.59 +149.17 +106.48 +72.71 +50.91 +11.27 +14.04 +45.26 +119.82 +208.4 +299.59 +440.16 +556.93 +606.3 +611.72 +610.33 +593.66 +561.25 +664.82 +638.58 +477.18 +327.59 +258.89 +297.52 +218.52 +145.24 +109.86 +73.56 +55.14 +12.08 +17.22 +39.97 +80.71 +164.93 +241.09 +393.05 +487.37 +546.97 +589.93 +584.7 +576.01 +541.89 +647.78 +428.14 +363.56 +227.35 +235.88 +171.68 +93.13 +46.15 +18.39 +11.09 +3.96 +5.76 +30.25 +154.23 +182.33 +546.57 +208.96 +179.26 +217.09 +316.95 +325.21 +279.17 +283.61 +388.34 +803.67 +793.53 +532.33 +381.51 +259.74 +181.23 +96.6 +41.73 +17.95 +12.44 +5.09 +5.83 +29.94 +157.8 +395.73 +589.09 +352.45 +180.08 +235.09 +317.89 +316.76 +276.12 +284.0 +338.91 +780.06 +773.22 +477.46 +358.13 +257.29 +193.35 +94.5 +43.24 +18.48 +13.17 +5.2 +5.73 +30.99 +156.74 +417.45 +595.37 +353.1 +189.87 +241.76 +317.74 +316.92 +275.7 +280.32 +392.7 +782.53 +776.19 +545.63 +406.53 +276.41 +210.27 +106.11 +66.01 +22.75 +12.09 +5.28 +5.68 +30.81 +160.34 +415.49 +593.56 +355.19 +197.92 +267.84 +329.85 +323.08 +289.35 +295.07 +403.17 +815.68 +779.23 +549.75 +395.62 +240.48 +274.83 +142.18 +72.78 +47.38 +19.31 +9.89 +7.43 +21.99 +101.77 +223.83 +403.03 +316.83 +251.7 +238.9 +341.33 +365.45 +365.35 +381.08 +505.79 +782.83 +750.44 +527.36 +382.86 +274.4 +285.57 +222.59 +144.67 +105.6 +74.12 +53.01 +11.37 +14.25 +44.6 +109.2 +204.77 +296.56 +444.6 +553.98 +586.33 +595.31 +594.31 +578.56 +554.53 +491.46 +499.49 +393.0 +184.86 +204.34 +237.6 +214.73 +145.69 +112.59 +76.35 +55.77 +11.33 +16.7 +36.55 +81.08 +169.25 +245.75 +402.78 +523.65 +596.94 +592.97 +591.91 +575.24 +561.53 +648.96 +614.25 +382.98 +314.89 +230.98 +193.77 +96.79 +46.49 +20.31 +13.58 +4.92 +5.38 +30.88 +157.03 +410.16 +553.34 +354.11 +193.38 +232.67 +322.75 +322.87 +287.39 +293.7 +390.52 +805.57 +809.53 +532.0 +372.58 +261.23 +204.43 +96.89 +48.47 +18.2 +11.56 +4.93 +5.91 +28.6 +85.51 +381.27 +552.51 +352.45 +186.52 +253.65 +326.05 +330.65 +277.67 +284.35 +388.57 +629.1 +799.51 +537.06 +396.35 +271.51 +208.02 +94.9 +50.02 +20.42 +13.3 +4.75 +5.65 +32.53 +160.66 +426.62 +599.99 +359.24 +188.78 +238.19 +326.7 +316.66 +275.7 +284.18 +389.93 +807.19 +818.64 +546.48 +392.96 +270.87 +220.18 +107.81 +64.59 +24.63 +12.67 +5.36 +5.91 +32.89 +160.98 +438.76 +598.44 +363.06 +205.13 +267.33 +320.41 +320.53 +289.35 +295.07 +406.65 +821.85 +804.15 +535.2 +407.1 +269.26 +289.7 +144.15 +52.54 +41.76 +11.78 +9.09 +7.68 +27.88 +137.51 +384.19 +570.41 +299.46 +211.08 +228.78 +275.29 +290.07 +283.94 +298.12 +390.09 +589.97 +565.22 +376.18 +266.62 +200.25 +116.04 +140.32 +152.1 +108.8 +75.22 +49.41 +11.58 +16.71 +45.61 +109.2 +207.32 +299.59 +441.19 +568.89 +632.72 +657.15 +637.99 +621.76 +573.67 +632.77 +612.33 +464.15 +325.66 +260.98 +297.53 +219.37 +147.08 +111.22 +75.82 +55.56 +11.38 +18.28 +38.86 +97.86 +189.28 +256.7 +388.27 +428.51 +504.78 +476.43 +499.3 +557.46 +544.76 +442.98 +389.06 +370.11 +294.7 +170.47 +164.48 +97.96 +40.32 +18.09 +11.61 +4.7 +5.35 +28.98 +154.15 +388.53 +545.92 +344.64 +168.37 +217.67 +319.69 +330.04 +278.17 +283.26 +389.26 +790.67 +597.55 +439.05 +219.42 +249.07 +158.39 +89.42 +41.09 +17.29 +11.2 +4.52 +4.96 +30.46 +160.36 +398.8 +584.33 +353.67 +197.89 +256.34 +333.75 +326.6 +284.74 +290.26 +390.99 +824.36 +800.29 +348.67 +379.87 +309.45 +185.94 +96.15 +44.54 +18.33 +13.17 +5.21 +5.02 +32.99 +159.93 +432.59 +596.58 +355.86 +196.04 +252.07 +326.02 +330.71 +280.16 +284.45 +329.51 +630.63 +622.64 +469.94 +390.23 +314.15 +210.41 +107.37 +68.31 +23.41 +12.94 +5.39 +5.66 +32.59 +156.38 +416.05 +593.0 +353.1 +197.79 +268.11 +319.53 +319.65 +281.61 +285.39 +401.21 +820.55 +810.75 +541.74 +395.15 +269.12 +278.44 +141.58 +73.29 +44.91 +19.06 +10.0 +8.36 +32.3 +158.26 +420.58 +576.03 +311.56 +263.72 +284.97 +366.57 +377.88 +378.75 +382.82 +504.52 +758.79 +728.93 +473.32 +359.21 +242.6 +283.85 +222.34 +145.51 +106.01 +68.41 +49.15 +10.77 +17.1 +48.95 +124.62 +229.54 +313.84 +442.59 +556.29 +527.52 +602.54 +523.5 +572.32 +560.02 +512.53 +442.8 +407.45 +176.02 +272.09 +252.86 +211.77 +150.51 +110.48 +70.31 +49.23 +9.71 +13.93 +36.42 +81.53 +165.65 +238.85 +389.89 +485.72 +499.51 +503.68 +437.33 +399.16 +339.48 +401.55 +342.57 +349.95 +219.69 +224.17 +153.24 +100.04 +41.33 +18.44 +11.82 +4.95 +5.44 +31.47 +155.9 +396.58 +543.15 +344.4 +178.15 +217.09 +325.82 +325.92 +278.33 +283.26 +388.54 +811.25 +809.53 +528.36 +381.67 +284.01 +167.77 +95.55 +41.73 +18.14 +12.58 +5.21 +5.61 +28.27 +156.59 +381.27 +574.03 +355.75 +197.89 +253.97 +326.05 +331.14 +275.65 +293.23 +391.36 +816.39 +797.96 +533.2 +390.12 +268.14 +209.35 +98.11 +49.28 +19.59 +12.76 +4.84 +5.43 +32.61 +159.93 +438.5 +601.08 +362.56 +203.25 +259.84 +323.66 +329.69 +277.77 +281.3 +392.01 +820.25 +802.33 +549.82 +392.67 +270.8 +220.57 +110.5 +64.05 +25.88 +11.91 +5.36 +5.91 +32.35 +160.16 +439.32 +598.32 +364.24 +197.92 +267.5 +329.85 +329.63 +281.61 +285.39 +400.83 +821.85 +799.46 +541.58 +395.26 +274.9 +283.52 +140.13 +65.12 +46.6 +19.19 +10.4 +8.76 +33.03 +157.7 +413.24 +576.48 +307.03 +254.96 +277.98 +372.66 +366.67 +375.83 +375.1 +511.67 +794.6 +757.3 +519.99 +369.43 +268.74 +291.94 +223.53 +147.12 +105.54 +66.62 +49.03 +10.81 +18.06 +46.56 +135.43 +230.3 +316.73 +445.52 +554.11 +567.37 +581.05 +591.65 +576.77 +538.19 +616.77 +590.95 +327.8 +289.23 +137.86 +240.35 +215.03 +153.62 +109.92 +70.13 +51.57 +10.52 +15.94 +37.35 +81.39 +164.57 +256.47 +385.95 +477.95 +498.61 +502.71 +482.08 +492.6 +543.54 +635.52 +592.16 +354.41 +223.97 +233.97 +167.43 +80.9 +114.38 +96.8 +46.63 +38.28 +12.08 +20.18 +79.11 +331.74 +473.94 +433.01 +284.15 +269.57 +287.41 +284.37 +286.03 +286.06 +407.29 +669.4 +638.42 +465.35 +342.61 +295.75 +165.14 +98.86 +40.46 +17.41 +12.14 +5.0 +5.73 +28.74 +156.59 +359.02 +579.6 +355.75 +181.73 +232.44 +320.15 +326.83 +279.44 +284.0 +394.87 +805.21 +799.04 +534.2 +396.61 +306.88 +197.72 +96.35 +49.99 +17.47 +12.62 +5.26 +5.86 +30.81 +160.66 +422.39 +596.58 +354.84 +177.42 +238.19 +320.14 +326.83 +279.62 +274.24 +394.64 +809.07 +802.29 +540.71 +268.56 +293.74 +204.47 +101.29 +55.51 +20.12 +11.35 +5.48 +5.6 +30.48 +157.04 +415.49 +425.16 +216.29 +182.52 +208.68 +282.34 +281.28 +254.94 +280.67 +400.91 +811.68 +806.32 +535.39 +397.71 +253.78 +243.41 +127.47 +62.12 +46.58 +20.01 +9.9 +8.42 +33.61 +160.53 +424.27 +576.18 +310.72 +247.67 +277.18 +354.86 +365.68 +362.75 +376.35 +505.79 +754.34 +750.44 +527.36 +382.86 +309.85 +284.69 +218.46 +149.92 +105.28 +68.42 +50.21 +10.56 +14.36 +45.16 +115.59 +208.94 +298.95 +430.97 +558.63 +583.52 +597.13 +597.38 +382.97 +306.93 +296.75 +305.54 +282.53 +233.38 +229.04 +245.67 +194.49 +129.02 +113.12 +74.55 +52.52 +11.32 +13.25 +37.63 +83.57 +161.63 +238.17 +387.17 +506.39 +581.25 +621.47 +608.34 +598.56 +568.3 +583.13 +474.72 +377.6 +301.32 +222.94 +172.74 +94.32 +45.46 +16.09 +13.76 +4.11 +4.8 +30.06 +157.88 +388.24 +545.08 +356.13 +196.36 +233.18 +333.08 +322.4 +292.76 +298.86 +397.59 +797.12 +764.8 +504.87 +377.8 +253.49 +170.61 +98.19 +45.63 +17.84 +11.94 +4.65 +5.52 +30.68 +166.25 +396.76 +581.91 +362.11 +213.38 +258.02 +324.83 +325.03 +292.88 +298.27 +399.3 +807.97 +762.95 +510.63 +378.11 +274.36 +189.93 +97.32 +51.72 +19.03 +12.99 +5.03 +5.5 +32.28 +160.6 +420.43 +592.46 +353.15 +195.47 +258.81 +325.69 +325.78 +289.98 +291.62 +394.57 +795.73 +784.05 +524.35 +384.76 +270.05 +206.29 +99.42 +64.07 +22.02 +11.81 +5.3 +5.6 +32.67 +163.81 +440.93 +584.53 +353.35 +196.6 +267.19 +334.02 +332.75 +279.82 +286.0 +404.99 +808.06 +784.27 +536.47 +398.89 +276.44 +267.97 +130.8 +75.86 +46.86 +19.6 +10.11 +8.99 +33.34 +164.01 +416.16 +573.29 +295.5 +248.15 +273.14 +357.63 +369.66 +376.21 +382.82 +516.39 +782.45 +754.51 +520.57 +379.55 +312.37 +250.15 +219.09 +150.7 +104.77 +69.5 +51.91 +11.36 +14.5 +43.8 +119.84 +205.36 +307.45 +446.93 +582.73 +654.45 +675.88 +676.08 +641.0 +574.59 +549.68 +488.4 +452.93 +315.67 +267.5 +265.45 +189.58 +126.67 +108.88 +71.02 +50.78 +9.95 +9.79 +33.99 +65.61 +162.31 +239.0 +397.33 +495.03 +615.77 +609.72 +617.43 +595.59 +561.46 +548.14 +431.67 +370.03 +296.03 +225.06 +164.5 +94.88 +46.41 +21.9 +12.98 +4.9 +5.71 +30.83 +164.4 +387.48 +539.1 +326.92 +170.93 +195.85 +303.75 +318.29 +267.94 +270.64 +399.35 +741.61 +724.83 +468.1 +320.76 +160.21 +158.38 +62.1 +32.19 +12.45 +9.27 +4.92 +5.32 +28.77 +156.59 +359.02 +577.12 +352.9 +180.46 +223.28 +197.67 +280.94 +136.21 +145.26 +284.12 +311.19 +436.7 +419.33 +242.27 +199.41 +148.18 +88.48 +47.71 +17.02 +13.12 +4.27 +4.85 +30.3 +159.97 +421.05 +597.97 +347.21 +195.48 +260.51 +340.67 +333.57 +282.8 +299.41 +400.79 +759.44 +734.78 +530.3 +364.62 +231.85 +186.34 +91.17 +60.33 +28.21 +12.5 +5.73 +5.73 +32.17 +165.82 +442.42 +596.02 +340.88 +196.94 +269.01 +335.26 +332.23 +286.54 +290.57 +408.54 +779.56 +753.99 +540.02 +388.8 +281.48 +234.77 +130.86 +72.04 +45.62 +19.52 +10.41 +9.67 +32.33 +165.41 +424.55 +565.76 +295.32 +240.22 +283.25 +361.72 +374.0 +370.44 +376.42 +533.48 +732.98 +735.66 +522.44 +366.81 +306.51 +266.22 +219.35 +145.64 +108.96 +68.4 +49.5 +11.23 +14.23 +45.63 +112.93 +202.21 +297.73 +434.96 +571.36 +614.24 +604.74 +601.86 +590.4 +579.26 +630.82 +601.19 +473.53 +326.84 +262.07 +284.31 +218.34 +147.12 +112.96 +72.68 +46.72 +10.87 +9.96 +32.11 +71.87 +141.47 +214.97 +381.12 +458.26 +586.51 +604.77 +600.67 +599.95 +557.72 +526.05 +483.27 +364.52 +272.16 +178.06 +163.13 +89.63 +49.73 +18.56 +14.41 +4.54 +5.22 +30.19 +158.57 +424.92 +566.0 +338.01 +194.34 +225.72 +316.41 +329.19 +289.77 +302.09 +392.81 +744.63 +665.38 +449.89 +346.57 +215.16 +157.01 +86.57 +51.39 +23.12 +10.04 +4.6 +5.05 +29.91 +166.21 +417.19 +588.12 +348.18 +195.82 +261.05 +336.83 +333.37 +281.26 +298.39 +397.78 +782.14 +758.74 +515.69 +381.71 +267.69 +198.97 +96.22 +49.17 +18.26 +13.4 +3.79 +5.27 +32.7 +163.62 +440.67 +588.23 +353.15 +183.55 +251.52 +330.84 +330.95 +280.26 +284.45 +389.69 +821.54 +810.5 +549.82 +417.04 +278.04 +183.63 +96.83 +67.9 +22.16 +11.75 +5.75 +5.22 +32.86 +159.7 +430.63 +598.64 +356.06 +189.7 +247.54 +320.66 +320.08 +278.22 +281.63 +402.84 +759.7 +756.58 +540.23 +347.73 +162.04 +200.43 +86.07 +54.54 +44.64 +19.11 +9.8 +8.34 +33.15 +159.05 +376.74 +573.11 +301.26 +230.09 +271.81 +357.63 +375.28 +365.97 +373.2 +529.77 +716.17 +710.88 +336.0 +301.91 +174.78 +251.05 +191.07 +129.11 +105.0 +66.23 +49.49 +12.04 +10.03 +41.2 +90.59 +174.14 +283.22 +411.69 +541.0 +645.82 +655.8 +649.51 +639.01 +597.84 +559.14 +479.41 +404.08 +284.0 +233.45 +220.97 +190.55 +123.27 +110.15 +65.65 +45.22 +10.24 +9.8 +32.71 +76.39 +138.28 +217.59 +398.77 +490.02 +592.56 +599.11 +593.6 +605.9 +558.01 +519.81 +452.22 +227.35 +196.8 +167.76 +136.56 +85.08 +53.4 +18.24 +13.02 +4.9 +5.03 +31.08 +141.46 +418.7 +569.7 +334.93 +188.9 +225.57 +329.27 +328.47 +283.97 +284.85 +397.81 +550.53 +561.15 +463.87 +276.94 +233.41 +140.43 +73.44 +45.82 +15.61 +10.89 +3.93 +5.12 +28.56 +67.99 +168.09 +357.12 +168.5 +119.37 +136.42 +276.74 +274.71 +136.94 +148.31 +284.56 +311.19 +335.26 +298.51 +199.75 +122.72 +148.53 +89.14 +34.65 +16.07 +11.73 +5.15 +5.06 +30.65 +133.79 +369.52 +571.43 +340.07 +184.79 +235.91 +313.25 +280.91 +264.36 +279.53 +392.96 +799.76 +794.62 +545.74 +405.7 +262.89 +210.98 +99.47 +43.11 +18.65 +12.13 +5.3 +5.51 +20.82 +76.32 +405.16 +569.18 +338.66 +170.52 +235.72 +317.6 +316.92 +285.34 +285.58 +402.81 +816.81 +780.75 +540.07 +393.84 +275.24 +291.57 +139.34 +75.96 +47.78 +19.56 +10.13 +9.09 +32.67 +139.79 +416.54 +579.93 +299.53 +261.88 +284.43 +368.79 +385.05 +377.45 +385.95 +539.43 +746.22 +711.07 +516.98 +363.29 +274.86 +266.28 +196.15 +133.39 +106.01 +67.11 +48.97 +11.58 +13.72 +45.09 +106.68 +197.35 +293.63 +430.44 +560.03 +648.06 +616.73 +613.29 +631.76 +598.6 +548.78 +469.97 +392.36 +269.82 +196.2 +196.76 +168.58 +100.77 +85.8 +58.01 +43.91 +10.72 +10.11 +33.84 +119.13 +174.75 +167.81 +350.3 +366.22 +396.47 +473.31 +472.43 +297.41 +142.52 +153.13 +151.13 +205.03 +160.86 +77.67 +85.66 +44.47 +52.71 +30.54 +22.14 +26.44 +7.92 +8.49 +68.25 +55.2 +121.49 +161.78 +247.12 +262.55 +317.12 +321.61 +321.93 +242.38 +267.24 +361.43 +338.94 +193.08 +149.76 +119.74 +66.5 +51.12 +17.58 +11.25 +5.4 +4.32 +4.66 +28.18 +111.42 +368.43 +594.92 +321.8 +198.15 +209.7 +298.76 +300.44 +272.54 +275.41 +391.41 +636.73 +603.26 +425.18 +308.88 +212.66 +159.49 +84.19 +40.2 +17.51 +11.46 +4.63 +5.07 +30.46 +139.66 +443.18 +592.82 +347.21 +195.48 +246.23 +322.16 +322.11 +287.65 +290.92 +396.42 +739.42 +728.27 +476.43 +364.62 +227.99 +178.45 +87.69 +60.2 +22.76 +10.39 +5.21 +4.99 +27.84 +116.24 +351.28 +608.53 +303.38 +215.02 +226.06 +309.77 +314.79 +289.59 +291.73 +396.06 +649.47 +596.85 +408.62 +277.63 +209.98 +137.03 +125.16 +63.41 +41.77 +14.29 +9.4 +8.29 +29.88 +111.64 +361.6 +593.18 +296.7 +232.04 +253.05 +340.27 +348.73 +345.45 +346.89 +432.35 +577.51 +554.52 +375.37 +261.05 +187.83 +137.41 +76.79 +76.08 +52.93 +41.41 +31.52 +7.88 +6.13 +33.52 +49.94 +140.42 +198.31 +330.01 +399.26 +481.11 +541.14 +621.94 +614.38 +546.48 +434.62 +401.45 +361.91 +159.47 +136.06 +136.74 +159.62 +93.94 +85.22 +56.19 +40.9 +10.54 +10.34 +30.67 +63.97 +151.91 +210.9 +376.55 +449.83 +556.16 +609.72 +617.43 +606.82 +562.11 +533.98 +448.35 +373.69 +281.02 +235.52 +163.61 +88.37 +46.14 +15.83 +13.77 +4.08 +4.66 +28.34 +132.59 +394.65 +553.11 +179.95 +166.4 +189.05 +147.33 +268.59 +233.84 +251.56 +384.66 +746.24 +411.66 +222.17 +309.46 +237.51 +155.93 +84.73 +49.68 +17.81 +11.74 +4.65 +5.05 +29.58 +138.19 +379.47 +600.55 +345.97 +195.31 +244.11 +315.36 +327.54 +279.98 +282.84 +388.88 +676.93 +647.63 +449.21 +317.53 +227.23 +126.61 +73.75 +22.93 +12.8 +9.62 +5.23 +4.91 +29.11 +112.66 +368.11 +596.79 +321.17 +185.82 +224.16 +314.67 +312.04 +275.21 +276.7 +387.96 +674.76 +662.59 +443.2 +330.01 +205.36 +152.95 +84.22 +52.01 +20.94 +12.14 +5.63 +5.47 +31.84 +141.62 +432.24 +594.58 +332.8 +176.13 +231.51 +325.72 +330.93 +282.99 +282.26 +403.58 +709.67 +721.78 +472.0 +349.4 +245.51 +219.74 +114.46 +63.99 +44.98 +18.92 +9.78 +8.35 +31.31 +76.62 +197.29 +551.74 +324.68 +244.04 +255.96 +314.76 +292.15 +360.39 +354.92 +400.45 +566.32 +490.01 +434.61 +344.78 +218.62 +213.66 +154.31 +128.21 +91.25 +59.26 +37.14 +11.1 +9.98 +38.4 +56.12 +195.75 +283.22 +407.5 +541.0 +626.2 +639.35 +634.41 +626.67 +581.56 +549.8 +500.06 +405.91 +270.87 +197.31 +194.36 +159.62 +101.27 +85.66 +54.36 +40.26 +9.39 +9.29 +30.76 +61.63 +136.91 +205.4 +368.85 +472.22 +595.42 +600.83 +606.0 +598.16 +555.18 +519.74 +476.35 +363.88 +270.6 +149.29 +129.17 +80.6 +41.87 +25.85 +10.54 +4.82 +5.28 +29.78 +115.95 +347.6 +594.25 +310.22 +183.32 +225.72 +315.61 +325.21 +287.01 +299.39 +399.31 +771.62 +658.68 +440.95 +318.04 +212.3 +133.07 +79.43 +40.62 +17.04 +10.48 +4.62 +5.17 +30.77 +130.83 +409.9 +581.37 +340.69 +195.19 +257.86 +326.34 +323.4 +284.64 +287.5 +394.12 +786.63 +751.77 +516.08 +378.8 +279.06 +181.29 +94.09 +50.27 +17.83 +12.92 +4.89 +5.74 +32.56 +142.98 +410.69 +587.66 +336.79 +174.67 +243.78 +324.22 +330.09 +289.8 +285.69 +394.23 +791.74 +784.05 +462.58 +341.73 +242.53 +202.5 +93.79 +63.21 +24.35 +11.63 +5.0 +5.31 +30.91 +135.87 +395.68 +586.71 +332.57 +165.46 +198.81 +266.86 +264.81 +245.36 +280.68 +403.01 +770.08 +507.06 +441.38 +235.68 +204.16 +219.74 +114.46 +72.53 +43.51 +18.71 +9.99 +8.52 +31.0 +137.16 +408.91 +561.37 +316.84 +243.43 +247.72 +282.83 +300.96 +335.52 +351.12 +485.6 +591.08 +577.61 +401.61 +256.42 +242.1 +214.86 +183.38 +128.24 +102.57 +62.44 +46.39 +11.46 +10.87 +42.11 +85.82 +175.49 +285.66 +411.31 +548.54 +641.05 +655.96 +641.64 +602.44 +550.16 +524.68 +454.22 +390.52 +282.98 +226.78 +228.69 +189.15 +126.45 +105.57 +67.92 +50.55 +11.22 +10.54 +35.18 +64.2 +133.59 +213.2 +362.55 +448.02 +542.76 +552.23 +546.72 +542.05 +423.76 +309.83 +229.81 +196.19 +135.12 +123.94 +104.02 +46.88 +36.28 +115.71 +116.35 +108.49 +130.12 +227.59 +232.36 +427.77 +179.33 +142.39 +110.54 +59.87 +22.85 +9.03 +4.65 +3.48 +4.02 +27.43 +111.98 +317.56 +600.11 +284.3 +147.53 +155.42 +170.32 +268.26 +240.72 +246.02 +284.04 +450.85 +448.21 +350.42 +214.82 +181.2 +121.47 +63.87 +29.7 +10.7 +5.52 +5.12 +5.3 +27.9 +111.91 +340.07 +586.49 +261.43 +170.95 +175.6 +177.62 +174.89 +171.78 +169.86 +252.6 +384.75 +439.53 +324.41 +204.25 +175.35 +120.87 +79.68 +41.5 +21.51 +10.53 +7.25 +6.85 +24.84 +98.23 +335.38 +574.78 +303.11 +219.96 +258.29 +295.99 +248.47 +251.23 +252.39 +282.76 +457.43 +432.75 +315.55 +170.09 +150.69 +122.24 +87.23 +74.02 +50.68 +40.2 +32.22 +7.34 +5.72 +36.04 +61.17 +145.8 +176.92 +299.95 +300.9 +309.27 +316.44 +313.9 +313.92 +313.05 +276.91 +236.04 +222.88 +103.0 +99.35 +115.52 +76.61 +72.78 +67.0 +46.59 +38.69 +10.64 +8.52 +28.99 +36.51 +112.75 +156.07 +286.73 +312.92 +325.11 +343.52 +354.97 +351.82 +348.08 +286.52 +252.05 +220.86 +88.71 +70.07 +85.42 +34.78 +18.04 +8.12 +4.82 +3.34 +3.59 +23.08 +105.56 +316.64 +558.88 +278.49 +141.19 +146.77 +168.08 +170.66 +174.79 +175.08 +241.92 +451.81 +453.29 +301.09 +189.28 +145.7 +102.09 +53.12 +17.31 +7.93 +4.23 +3.14 +3.23 +22.48 +101.04 +332.24 +539.52 +277.45 +142.14 +154.65 +174.22 +175.74 +174.83 +165.65 +244.89 +420.45 +420.82 +287.07 +180.15 +142.2 +109.1 +60.45 +22.08 +7.66 +4.9 +3.53 +3.11 +23.88 +97.42 +320.07 +535.88 +276.8 +133.04 +144.68 +146.43 +146.32 +140.57 +145.73 +213.35 +407.11 +410.99 +272.73 +185.76 +151.48 +61.43 +40.21 +15.06 +9.41 +5.14 +3.94 +27.11 +108.95 +319.5 +581.5 +315.23 +170.36 +185.8 +201.06 +334.18 +313.24 +314.94 +328.05 +486.27 +478.5 +330.85 +213.51 +160.99 +115.89 +87.36 +39.92 +21.57 +10.09 +6.65 +6.24 +25.05 +86.4 +310.28 +574.1 +308.94 +209.65 +237.37 +308.92 +319.9 +315.39 +310.77 +433.12 +532.89 +515.69 +272.95 +178.25 +167.41 +112.35 +70.66 +65.54 +51.96 +44.47 +31.54 +8.69 +6.05 +31.24 +35.97 +134.55 +190.2 +297.06 +302.53 +600.03 +631.45 +644.32 +613.38 +573.17 +491.64 +395.38 +367.38 +250.02 +135.51 +113.51 +67.02 +72.44 +59.27 +46.66 +39.19 +8.13 +6.07 +26.65 +38.59 +113.34 +162.37 +288.65 +416.18 +555.05 +572.59 +608.62 +592.81 +556.88 +526.52 +441.79 +353.1 +251.99 +155.01 +118.99 +70.21 +65.62 +56.95 +32.81 +26.85 +11.95 +13.17 +67.43 +54.63 +279.53 +322.89 +266.82 +256.12 +282.87 +288.31 +283.68 +280.86 +404.56 +547.86 +461.59 +436.64 +276.02 +184.29 +165.71 +89.14 +38.88 +16.13 +5.31 +4.29 +4.38 +26.34 +77.88 +250.32 +440.63 +230.44 +114.41 +120.41 +156.62 +165.18 +174.52 +175.68 +254.9 +439.51 +445.51 +293.92 +182.27 +144.28 +105.46 +56.71 +21.38 +8.61 +4.39 +3.49 +3.16 +23.37 +99.74 +317.93 +549.63 +281.29 +148.1 +150.86 +172.36 +175.59 +173.67 +168.62 +246.57 +433.68 +428.63 +289.21 +194.36 +167.16 +119.71 +60.91 +24.22 +9.71 +5.5 +3.96 +3.86 +24.44 +106.71 +314.02 +563.24 +282.43 +126.21 +145.94 +165.86 +171.83 +166.01 +161.35 +242.72 +416.49 +411.36 +282.39 +202.42 +158.16 +109.09 +76.73 +40.19 +21.57 +10.91 +7.14 +6.8 +24.66 +102.38 +309.14 +551.48 +303.11 +193.83 +238.06 +248.42 +307.94 +307.78 +301.35 +380.13 +446.35 +415.2 +298.26 +182.63 +162.56 +120.94 +87.22 +72.44 +52.7 +46.09 +36.88 +9.45 +7.74 +31.53 +36.85 +119.95 +185.94 +299.95 +329.57 +353.93 +423.91 +426.51 +421.55 +363.13 +328.95 +249.7 +206.45 +110.88 +92.64 +109.21 +72.91 +64.29 +58.87 +48.69 +33.65 +7.5 +6.73 +27.72 +41.58 +108.35 +143.95 +262.99 +282.97 +307.56 +311.46 +313.0 +409.26 +299.81 +260.36 +234.5 +215.86 +102.88 +73.41 +91.8 +39.72 +18.74 +11.99 +6.47 +4.37 +4.66 +26.83 +112.81 +339.95 +580.01 +267.46 +136.79 +161.54 +178.0 +301.23 +266.87 +270.51 +280.58 +542.63 +434.53 +321.08 +206.42 +172.48 +103.9 +58.23 +17.86 +9.1 +4.86 +4.24 +4.44 +25.92 +114.32 +367.91 +602.83 +272.9 +167.03 +216.68 +259.29 +295.77 +267.01 +275.17 +286.59 +434.75 +442.26 +317.36 +209.08 +179.8 +111.98 +61.32 +23.45 +9.49 +4.23 +3.43 +3.85 +26.9 +111.71 +329.08 +560.02 +283.51 +157.87 +169.09 +302.16 +307.9 +281.65 +284.77 +333.98 +489.43 +549.88 +334.82 +201.69 +175.36 +117.18 +62.45 +39.09 +27.93 +26.12 +26.53 +9.71 +9.17 +62.48 +45.75 +121.81 +168.15 +245.21 +307.8 +329.58 +341.03 +316.96 +317.74 +384.0 +445.93 +237.17 +198.67 +80.49 +69.5 +101.95 +63.3 +41.24 +20.83 +12.05 +5.85 +4.47 +24.17 +96.12 +324.32 +533.1 +291.45 +186.9 +231.69 +306.9 +319.9 +340.92 +339.01 +466.39 +592.59 +542.11 +395.22 +312.72 +213.34 +195.53 +158.78 +94.37 +52.84 +43.58 +36.16 +8.9 +7.36 +32.63 +49.96 +139.11 +164.52 +215.04 +239.13 +264.46 +306.94 +284.55 +251.82 +232.22 +202.84 +183.89 +173.47 +89.1 +76.88 +90.36 +84.49 +62.84 +50.44 +38.98 +36.9 +10.27 +7.8 +30.29 +42.65 +107.77 +130.7 +210.03 +234.24 +255.14 +256.63 +273.89 +274.27 +265.92 +213.63 +189.56 +177.89 +91.17 +69.29 +88.96 +38.42 +17.07 +7.57 +3.45 +2.99 +3.26 +22.65 +98.57 +314.05 +578.67 +288.95 +154.7 +180.44 +273.01 +274.18 +255.3 +259.33 +329.75 +575.96 +451.78 +307.17 +204.53 +164.88 +106.5 +57.97 +16.82 +8.63 +5.1 +3.29 +3.89 +25.36 +109.45 +251.52 +444.48 +274.48 +116.54 +95.71 +103.23 +101.99 +103.86 +134.24 +195.81 +364.09 +336.26 +266.71 +178.55 +135.23 +89.13 +59.95 +20.59 +7.89 +4.79 +3.46 +3.44 +25.18 +94.88 +319.31 +545.17 +280.32 +150.12 +156.81 +166.41 +179.81 +172.78 +179.11 +260.44 +459.93 +443.51 +301.77 +198.65 +156.32 +111.61 +60.48 +22.28 +9.7 +3.81 +3.18 +22.62 +100.28 +307.9 +536.34 +284.9 +126.19 +188.53 +186.55 +199.67 +180.38 +173.99 +260.52 +459.66 +431.38 +283.0 +190.53 +144.32 +105.43 +76.84 +36.63 +19.79 +11.97 +5.64 +3.97 +23.44 +87.65 +316.48 +508.34 +284.27 +170.95 +196.82 +244.22 +252.21 +251.23 +298.0 +283.84 +433.63 +399.2 +281.94 +176.65 +155.42 +113.72 +72.38 +71.24 +58.27 +48.22 +34.8 +8.17 +7.68 +30.73 +33.53 +119.44 +130.04 +199.9 +257.68 +258.88 +270.16 +272.67 +289.99 +280.07 +221.6 +200.49 +176.16 +102.44 +72.37 +97.64 +62.18 +58.84 +54.33 +47.32 +31.11 +7.47 +6.89 +25.37 +28.72 +107.52 +113.45 +245.08 +245.48 +263.05 +294.23 +468.44 +465.96 +453.58 +157.33 +388.63 +200.19 +166.01 +147.23 +131.96 +64.6 +40.18 +17.17 +10.03 +5.3 +4.82 +24.73 +102.67 +334.41 +608.92 +284.57 +191.9 +182.78 +312.62 +320.23 +287.5 +292.26 +394.92 +667.84 +642.76 +439.63 +286.99 +187.99 +121.3 +72.83 +37.55 +17.92 +10.3 +4.42 +5.01 +26.08 +104.17 +383.03 +567.53 +320.06 +179.98 +211.01 +314.04 +311.77 +273.36 +288.2 +392.32 +669.03 +642.06 +447.97 +311.28 +225.63 +173.5 +81.12 +46.83 +16.58 +13.48 +4.9 +5.4 +28.55 +79.95 +277.61 +599.69 +317.34 +191.41 +210.6 +302.16 +310.24 +281.63 +285.87 +345.66 +599.11 +554.52 +326.83 +183.31 +153.46 +107.97 +62.95 +25.93 +10.47 +4.94 +3.52 +2.91 +20.61 +93.27 +300.89 +537.79 +281.22 +121.0 +143.28 +178.29 +189.24 +176.05 +177.13 +238.87 +437.54 +416.38 +257.45 +169.55 +131.96 +93.26 +71.78 +36.73 +19.64 +11.91 +4.91 +4.22 +23.11 +88.81 +246.78 +546.1 +292.55 +145.33 +154.0 +194.36 +217.24 +211.79 +212.97 +265.76 +405.72 +380.15 +278.0 +147.7 +132.98 +101.27 +57.13 +53.91 +46.79 +45.61 +31.75 +7.99 +6.81 +38.04 +61.27 +142.38 +161.43 +246.23 +253.28 +258.61 +259.32 +260.74 +359.92 +355.51 +241.03 +219.47 +203.2 +95.81 +81.52 +101.55 +82.65 +66.51 +72.8 +49.06 +32.37 +8.99 +8.63 +29.58 +103.06 +166.32 +161.48 +256.78 +260.66 +276.96 +255.78 +257.13 +120.6 +119.67 +121.4 +127.08 +126.57 +75.38 +64.78 +45.2 +31.07 +12.96 +10.93 +8.76 +5.5 +5.17 +25.57 +102.23 +338.97 +539.11 +300.73 +155.34 +137.55 +150.44 +147.35 +232.57 +237.76 +340.47 +394.98 +386.43 +410.63 +238.77 +177.4 +140.3 +76.66 +49.37 +22.53 +11.0 +4.1 +4.42 +17.72 +101.97 +315.09 +571.52 +290.21 +157.38 +154.3 +158.65 +176.52 +169.93 +170.18 +250.99 +418.0 +424.71 +281.99 +183.72 +154.62 +109.38 +61.44 +31.11 +8.25 +4.78 +3.57 +3.54 +22.06 +93.51 +312.42 +533.48 +279.85 +138.91 +149.31 +171.78 +172.2 +161.1 +160.32 +240.53 +405.12 +416.81 +269.24 +176.31 +139.12 +106.36 +61.75 +25.7 +9.86 +5.52 +4.1 +3.25 +21.91 +94.01 +308.76 +542.39 +282.72 +151.77 +163.35 +183.81 +202.58 +195.65 +194.29 +254.13 +446.07 +445.84 +289.46 +193.89 +152.57 +107.55 +74.91 +36.03 +19.54 +7.63 +4.66 +3.89 +20.88 +90.58 +320.82 +520.19 +285.17 +129.24 +156.71 +228.59 +229.95 +249.97 +248.62 +267.12 +416.48 +428.6 +270.16 +174.89 +147.28 +107.37 +75.87 +69.9 +48.83 +49.06 +32.33 +7.76 +6.63 +33.49 +38.49 +125.65 +164.98 +261.89 +278.23 +321.26 +318.72 +334.01 +396.96 +326.68 +287.31 +239.81 +215.65 +108.38 +99.55 +114.78 +69.43 +63.85 +41.32 +47.79 +27.62 +7.74 +6.89 +30.53 +41.48 +116.98 +143.31 +232.9 +237.19 +256.32 +269.31 +271.05 +250.98 +248.14 +238.6 +135.93 +206.21 +107.23 +67.68 +94.63 +43.45 +19.27 +12.02 +8.76 +4.98 +4.89 +26.36 +104.91 +333.19 +601.15 +280.55 +151.7 +162.13 +168.15 +170.26 +161.23 +228.19 +174.48 +277.82 +278.49 +314.19 +213.32 +175.43 +115.43 +44.32 +36.94 +15.87 +10.03 +4.44 +4.89 +26.63 +107.3 +352.72 +618.07 +287.57 +195.89 +224.43 +160.14 +323.3 +274.71 +277.34 +324.55 +475.16 +461.29 +329.12 +199.32 +162.62 +113.94 +65.22 +31.25 +10.02 +4.58 +3.53 +3.28 +23.4 +99.08 +332.03 +542.35 +281.29 +132.44 +169.13 +173.66 +268.26 +243.21 +247.7 +287.18 +464.93 +449.4 +313.33 +202.19 +160.8 +117.91 +59.56 +35.78 +10.92 +5.56 +3.72 +4.48 +23.62 +102.96 +356.5 +564.6 +280.68 +126.31 +147.59 +170.12 +167.77 +161.74 +154.9 +230.16 +412.83 +395.5 +257.58 +159.72 +125.57 +53.79 +56.3 +48.56 +42.39 +15.13 +9.53 +6.78 +22.49 +92.52 +306.72 +548.76 +285.72 +161.03 +167.18 +177.25 +177.25 +174.19 +173.97 +229.3 +359.42 +357.4 +249.11 +156.91 +128.34 +103.9 +83.28 +63.86 +52.27 +44.85 +35.32 +9.68 +8.13 +26.68 +44.23 +121.66 +151.96 +212.38 +232.8 +257.91 +270.05 +269.93 +243.11 +228.39 +203.94 +181.7 +160.67 +82.04 +64.44 +76.46 +77.56 +62.13 +49.63 +37.54 +37.35 +10.82 +9.5 +22.07 +33.72 +90.59 +134.09 +190.06 +222.25 +266.4 +277.31 +316.56 +328.48 +309.88 +234.26 +190.5 +172.95 +76.6 +61.83 +86.32 +33.39 +17.26 +8.12 +3.36 +2.78 +20.9 +93.65 +316.8 +535.8 +265.6 +111.46 +119.71 +141.8 +97.23 +91.42 +95.68 +117.15 +192.41 +196.13 +186.97 +136.29 +108.47 +78.35 +30.08 +32.56 +29.86 +28.72 +11.0 +10.15 +51.52 +39.04 +108.25 +118.64 +247.17 +255.39 +262.96 +250.16 +252.49 +251.02 +238.4 +220.95 +163.85 +136.34 +74.52 +67.81 +84.23 +44.03 +21.66 +7.98 +5.04 +3.1 +2.65 +21.1 +93.46 +251.99 +404.39 +229.27 +84.49 +85.68 +90.73 +89.92 +95.98 +93.16 +114.54 +185.79 +189.72 +175.87 +131.23 +128.13 +45.94 +32.02 +15.22 +10.16 +4.93 +3.33 +2.93 +20.83 +92.32 +327.5 +542.59 +278.17 +131.29 +136.51 +154.44 +155.23 +139.67 +142.77 +207.39 +370.22 +363.29 +243.44 +170.13 +128.81 +87.05 +72.54 +35.53 +20.54 +11.07 +4.36 +3.68 +19.52 +85.6 +298.19 +516.53 +280.84 +134.24 +150.05 +176.15 +175.98 +174.37 +192.67 +226.79 +366.41 +362.5 +233.7 +141.77 +128.58 +92.66 +71.8 +52.54 +46.79 +45.38 +35.68 +9.93 +8.69 +28.25 +40.68 +121.52 +160.99 +154.96 +133.96 +136.11 +135.88 +215.98 +199.07 +211.1 +168.35 +155.66 +152.43 +80.42 +65.0 +95.76 +71.26 +58.39 +51.78 +45.85 +37.31 +11.4 +8.69 +23.1 +34.58 +93.29 +128.26 +212.03 +231.71 +249.82 +258.41 +260.41 +245.48 +229.75 +199.52 +173.63 +172.89 +73.53 +58.36 +72.19 +33.09 +14.81 +8.54 +3.62 +2.79 +2.71 +19.89 +88.78 +302.3 +525.96 +259.54 +100.24 +104.39 +119.62 +139.7 +139.85 +144.94 +202.32 +380.85 +376.99 +239.39 +170.95 +136.73 +96.37 +51.96