{ "cells": [ { "cell_type": "markdown", "id": "d9e67c9f", "metadata": {}, "source": [ "." ] }, { "cell_type": "markdown", "id": "b63fc669", "metadata": {}, "source": [ "
\n", " \"JPierre-DATA\n", "\t

Conversion Rate Optimization For E-COMMERCE

\n", "\t
\n", "
" ] }, { "cell_type": "markdown", "id": "8d606240", "metadata": {}, "source": [ "\"JPierre-DATA" ] }, { "cell_type": "markdown", "id": "7d8b8cf5", "metadata": { "toc": true }, "source": [ "

Table of Contents

\n", "
" ] }, { "cell_type": "markdown", "id": "f9848870", "metadata": {}, "source": [ "\"JPierre-DATA" ] }, { "cell_type": "markdown", "id": "fbaa0841", "metadata": {}, "source": [ "

Introducción

" ] }, { "cell_type": "markdown", "id": "610048f8", "metadata": {}, "source": [ "\n", "En este proyecto se aborda el caso de un comercio tipo ecommerce que presenta estancamiento en sus ventas. Se aplicaran técnicas analíticas a los registros transaccionales con el fin de obtener lineas de accion para el diseño de una estrategia basada en datos. Al final del preoyecto, se entregan resultados de diagnóstico en las áreas analizadas, seguido de las acciones estratégicas de resolución para incrementar el CRO.\n", "\n", "" ] }, { "cell_type": "markdown", "id": "02228b30", "metadata": {}, "source": [ "# **Objetivos del Proyecto**" ] }, { "cell_type": "markdown", "id": "e9322701", "metadata": {}, "source": [ "\n", " \n", "Impulsar el crecimieno en ventas del E-Commerce por medio de: \n", " \n", " * Analizar situación actual en base a tres áreas de enfoque: Ventas, Clientes y Productos.(Establecer el baseline).\n", "\n", " * Determinar las mejores estrategias de CRO (Conversion Rate Optimization) adecuadas en base a los datos obtenidos.\n", " \n", "" ] }, { "cell_type": "markdown", "id": "b93ee5b9", "metadata": {}, "source": [ "# Procesos ETL." ] }, { "cell_type": "markdown", "id": "29192a3b", "metadata": {}, "source": [ "\n", " \n", "**Herramientas:** \n", "

El proyecto se aborda implementando Python por medio de Jupyter notebook, con los siguientes paquetes: Pandas, Numpy, Matplotlib, Scipy, Plotly, Seaborn y SqlAlchemy.

\n", "\n", "**Data Set:**\n", "

La empresa cuenta con una base de datos SQL Server desde donde administra toda su información transaccional.

\n", "\n", "" ] }, { "cell_type": "markdown", "id": "1b5de814", "metadata": {}, "source": [ "## Importación de librerias." ] }, { "cell_type": "code", "execution_count": 1, "id": "844ddee9", "metadata": {}, "outputs": [], "source": [ "# Se importan los pquetes requeridos\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import seaborn as sns\n", "import sqlalchemy as sa\n", "\n", "#Automcompletar rápido\n", "%config IPCompleter.greedy=True\n", "\n", "#Formato de display\n", "pd.options.display.float_format = '{:15.2f}'.format\n", "\n", "#Estilo de sns\n", "sns.set_theme(style=\"whitegrid\")" ] }, { "cell_type": "markdown", "id": "a6c4ac69", "metadata": {}, "source": [ "## Conexión a base de datos." ] }, { "cell_type": "code", "execution_count": 2, "id": "8906e429", "metadata": {}, "outputs": [], "source": [ "# Conexión a la base de datos y carga de los datos iniciales.\n", "\n", "con = sa.create_engine('sqlite:///../Datos/ecommerce.db')" ] }, { "cell_type": "code", "execution_count": 3, "id": "b75193b8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['2019-Dec', '2019-Nov', '2019-Oct', '2020-Feb', '2020-Jan']" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Inspeccion de tablas existentes.\n", "\n", "from sqlalchemy import inspect\n", "insp = inspect(con)\n", "tablas = insp.get_table_names()\n", "tablas" ] }, { "cell_type": "code", "execution_count": 4, "id": "5aa381a5", "metadata": {}, "outputs": [], "source": [ "# Creando df a partir de las tablas.\n", "\n", "oct = pd.read_sql('2019-Oct', con)\n", "nov = pd.read_sql('2019-Nov', con)\n", "dic = pd.read_sql('2019-Dec', con)\n", "ene = pd.read_sql('2020-Jan', con)\n", "feb = pd.read_sql('2020-Feb', con)" ] }, { "cell_type": "code", "execution_count": 5, "id": "5f056356", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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2095076 rows × 10 columns

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" ], "text/plain": [ " index event_time event_type product_id \\\n", "0 68 2019-10-01 00:01:46 UTC view 5843665 \n", "1 72 2019-10-01 00:01:55 UTC cart 5868461 \n", "2 95 2019-10-01 00:02:50 UTC view 5877456 \n", "3 122 2019-10-01 00:03:41 UTC view 5649270 \n", "4 124 2019-10-01 00:03:44 UTC view 18082 \n", "... ... ... ... ... \n", "429785 4156660 2020-02-29 23:58:49 UTC cart 5815662 \n", "429786 4156663 2020-02-29 23:58:57 UTC view 5815665 \n", "429787 4156668 2020-02-29 23:59:05 UTC cart 5815665 \n", "429788 4156675 2020-02-29 23:59:28 UTC view 5817692 \n", "429789 4156680 2020-02-29 23:59:54 UTC view 5716351 \n", "\n", " category_id category_code brand price \\\n", "0 1487580005092295511 None f.o.x 9.44 \n", "1 1487580013069861041 None italwax 3.57 \n", "2 1487580006300255120 None jessnail 122.22 \n", "3 1487580013749338323 None concept 6.19 \n", "4 1487580005411062629 None cnd 16.03 \n", "... ... ... ... ... \n", "429785 1487580006317032337 None None 0.92 \n", "429786 1487580006317032337 None None 0.59 \n", "429787 1487580006317032337 None None 0.59 \n", "429788 1487580010872045658 None None 0.79 \n", "429789 1487580010872045658 None irisk 0.79 \n", "\n", " user_id user_session \n", "0 462033176 a18e0999-61a1-4218-8f8f-61ec1d375361 \n", "1 514753614 e2fecb2d-22d0-df2c-c661-15da44b3ccf1 \n", "2 527418424 86e77869-afbc-4dff-9aa2-6b7dd8c90770 \n", "3 555448072 b5f72ceb-0730-44de-a932-d16db62390df \n", "4 552006247 2d8f304b-de45-4e59-8f40-50c603843fe5 \n", "... ... ... \n", "429785 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429786 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429787 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429788 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "429789 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "\n", "[2095076 rows x 10 columns]" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# integración de tablas y datos en un único DataFrame\n", "\n", "df = pd.concat([oct,nov,dic,ene,feb], axis = 0)\n", "df" ] }, { "cell_type": "markdown", "id": "4a9f9e88", "metadata": {}, "source": [ "## Calidad de Datos:" ] }, { "cell_type": "code", "execution_count": 6, "id": "d0c07462", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 2095076 entries, 0 to 429789\n", "Data columns (total 10 columns):\n", " # Column Dtype \n", "--- ------ ----- \n", " 0 index int64 \n", " 1 event_time object \n", " 2 event_type object \n", " 3 product_id int64 \n", " 4 category_id int64 \n", " 5 category_code object \n", " 6 brand object \n", " 7 price float64\n", " 8 user_id int64 \n", " 9 user_session object \n", "dtypes: float64(1), int64(4), object(5)\n", "memory usage: 175.8+ MB\n" ] } ], "source": [ "# Tipos de Variables\n", "\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 7, "id": "d290bbbf", "metadata": {}, "outputs": [], "source": [ "# Eliminar la columna Index\n", "\n", "df.drop(columns = 'index', inplace = True)" ] }, { "cell_type": "code", "execution_count": 8, "id": "7fe82cc4", "metadata": {}, "outputs": [], "source": [ "# Corregir tipo de datos. pasar event_time a datetime\n", "\n", "def datetime_rapido(dt,formato):\n", "\n", " def divide_fecha(fecha):\n", " division = fecha.split()\n", " date = division[0]\n", " time = division[1]\n", " cadena = date + ' ' + time\n", " return cadena\n", "\n", " resultado = pd.to_datetime(dt.apply(lambda x: divide_fecha(x)), format = formato)\n", "\n", " return resultado" ] }, { "cell_type": "code", "execution_count": 9, "id": "90c23325", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Int64Index: 2095076 entries, 0 to 429789\n", "Data columns (total 9 columns):\n", " # Column Dtype \n", "--- ------ ----- \n", " 0 event_time datetime64[ns]\n", " 1 event_type object \n", " 2 product_id int64 \n", " 3 category_id int64 \n", " 4 category_code object \n", " 5 brand object \n", " 6 price float64 \n", " 7 user_id int64 \n", " 8 user_session object \n", "dtypes: datetime64[ns](1), float64(1), int64(3), object(4)\n", "memory usage: 159.8+ MB\n" ] } ], "source": [ "# llamando a la función y mostando cambios\n", "\n", "formato = '%Y-%m-%d %H:%M:%S'\n", "\n", "df.event_time = datetime_rapido(df.event_time,formato)\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 10, "id": "04e7d235", "metadata": {}, "outputs": [], "source": [ "# Renombramos las variables a español\n", "\n", "df.columns = ['fecha',\n", " 'evento',\n", " 'producto',\n", " 'categoria',\n", " 'categoria_cod',\n", " 'marca',\n", " 'precio',\n", " 'usuario',\n", " 'sesion']" ] }, { "cell_type": "code", "execution_count": 11, "id": "649d34ec", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "categoria_cod 2060411\n", "marca 891646\n", "sesion 506\n", "fecha 0\n", "evento 0\n", "producto 0\n", "categoria 0\n", "precio 0\n", "usuario 0\n", "dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Análisis de nulos\n", "\n", "df.isna().sum().sort_values(ascending = False)" ] }, { "cell_type": "markdown", "id": "f71133f5", "metadata": {}, "source": [ "\n", " \n", "**Summary:**\n", "\n", "* categoria_cod tiene casi todos los registros a nulo\n", "* marca tiene casi la mitad de los registros a nulo\n", "* hay 500 nulos en sesión\n", "\n", "Acciones:\n", "\n", "* eliminar las variables categoria_cod y marca\n", "* eliminar los nulos de sesión ya que es una variable relevante\n", " \n", "" ] }, { "cell_type": "code", "execution_count": 12, "id": "9d3fb687", "metadata": {}, "outputs": [], "source": [ "df = df.drop(columns = ['categoria_cod','marca']).dropna()" ] }, { "cell_type": "code", "execution_count": 13, "id": "6e69af15", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " fecha evento producto categoria \\\n", "0 2019-10-01 00:01:46 view 5843665 1487580005092295511 \n", "1 2019-10-01 00:01:55 cart 5868461 1487580013069861041 \n", "2 2019-10-01 00:02:50 view 5877456 1487580006300255120 \n", "3 2019-10-01 00:03:41 view 5649270 1487580013749338323 \n", "4 2019-10-01 00:03:44 view 18082 1487580005411062629 \n", "... ... ... ... ... \n", "429785 2020-02-29 23:58:49 cart 5815662 1487580006317032337 \n", "429786 2020-02-29 23:58:57 view 5815665 1487580006317032337 \n", "429787 2020-02-29 23:59:05 cart 5815665 1487580006317032337 \n", "429788 2020-02-29 23:59:28 view 5817692 1487580010872045658 \n", "429789 2020-02-29 23:59:54 view 5716351 1487580010872045658 \n", "\n", " precio usuario sesion \n", "0 9.44 462033176 a18e0999-61a1-4218-8f8f-61ec1d375361 \n", "1 3.57 514753614 e2fecb2d-22d0-df2c-c661-15da44b3ccf1 \n", "2 122.22 527418424 86e77869-afbc-4dff-9aa2-6b7dd8c90770 \n", "3 6.19 555448072 b5f72ceb-0730-44de-a932-d16db62390df \n", "4 16.03 552006247 2d8f304b-de45-4e59-8f40-50c603843fe5 \n", "... ... ... ... \n", "429785 0.92 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429786 0.59 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429787 0.59 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "429788 0.79 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "429789 0.79 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "\n", "[2074026 rows x 7 columns]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Seleccion de variables con precio positivo\n", "\n", "df = df[df.precio > 0]\n", "df" ] }, { "cell_type": "code", "execution_count": 14, "id": "03fc94d4", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "4" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Cantidad de eventos\n", "\n", "df.evento.nunique()" ] }, { "cell_type": "code", "execution_count": 15, "id": "edf17656", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "view 961558\n", "cart 574547\n", "remove_from_cart 410357\n", "purchase 127564\n", "Name: evento, dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Frcuencia de eventos\n", "\n", "df.evento.value_counts()" ] }, { "cell_type": "code", "execution_count": 16, "id": "b2c8094e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "45327" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Cantidad de prodctos distintos.\n", "\n", "df.producto.nunique()" ] }, { "cell_type": "code", "execution_count": 17, "id": "a463b040", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "508" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Cantidad de categorias de producto.\n", "\n", "df.categoria.nunique()" ] }, { "cell_type": "code", "execution_count": 18, "id": "84a04ea6", "metadata": {}, "outputs": [], "source": [ "#Asignando la fecha como indice\n", "\n", "df.set_index('fecha', inplace = True)" ] }, { "cell_type": "markdown", "id": "5dbabce7", "metadata": {}, "source": [ "* **TRANSFORMACION DE DATOS**\n", "* Creando 3 nuevas variables a partir de la fecha" ] }, { "cell_type": "code", "execution_count": 19, "id": "24b7a4c6", "metadata": {}, "outputs": [], "source": [ "# Funcion para segmentar dateTime\n", "\n", "def componentes_fecha(dataframe):\n", " date = dataframe.index.date\n", " año = dataframe.index.year\n", " mes = dataframe.index.month\n", " dia = dataframe.index.day\n", " hora = dataframe.index.hour\n", " minuto = dataframe.index.minute\n", " segundo = dataframe.index.second\n", " \n", " \n", " return(pd.DataFrame({'date':date, 'año':año,'mes':mes, 'dia':dia, 'hora':hora, 'minuto':minuto, 'segundo':segundo}))" ] }, { "cell_type": "code", "execution_count": 20, "id": "b929f3d6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " evento producto categoria precio \\\n", "fecha \n", "2019-10-01 00:01:46 view 5843665 1487580005092295511 9.44 \n", "2019-10-01 00:01:55 cart 5868461 1487580013069861041 3.57 \n", "2019-10-01 00:02:50 view 5877456 1487580006300255120 122.22 \n", "2019-10-01 00:03:41 view 5649270 1487580013749338323 6.19 \n", "2019-10-01 00:03:44 view 18082 1487580005411062629 16.03 \n", "... ... ... ... ... \n", "2020-02-29 23:58:49 cart 5815662 1487580006317032337 0.92 \n", "2020-02-29 23:58:57 view 5815665 1487580006317032337 0.59 \n", "2020-02-29 23:59:05 cart 5815665 1487580006317032337 0.59 \n", "2020-02-29 23:59:28 view 5817692 1487580010872045658 0.79 \n", "2020-02-29 23:59:54 view 5716351 1487580010872045658 0.79 \n", "\n", " usuario sesion \\\n", "fecha \n", "2019-10-01 00:01:46 462033176 a18e0999-61a1-4218-8f8f-61ec1d375361 \n", "2019-10-01 00:01:55 514753614 e2fecb2d-22d0-df2c-c661-15da44b3ccf1 \n", "2019-10-01 00:02:50 527418424 86e77869-afbc-4dff-9aa2-6b7dd8c90770 \n", "2019-10-01 00:03:41 555448072 b5f72ceb-0730-44de-a932-d16db62390df \n", "2019-10-01 00:03:44 552006247 2d8f304b-de45-4e59-8f40-50c603843fe5 \n", "... ... ... \n", "2020-02-29 23:58:49 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "2020-02-29 23:58:57 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "2020-02-29 23:59:05 147995998 5ff96629-3627-493e-a25b-5a871ec78c90 \n", "2020-02-29 23:59:28 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "2020-02-29 23:59:54 619841242 18af673b-7fb9-4202-a66d-5c855bc0fd2d \n", "\n", " date año mes dia hora minuto segundo \n", "fecha \n", "2019-10-01 00:01:46 2019-10-01 2019 10 1 0 1 46 \n", "2019-10-01 00:01:55 2019-10-01 2019 10 1 0 1 55 \n", "2019-10-01 00:02:50 2019-10-01 2019 10 1 0 2 50 \n", "2019-10-01 00:03:41 2019-10-01 2019 10 1 0 3 41 \n", "2019-10-01 00:03:44 2019-10-01 2019 10 1 0 3 44 \n", "... ... ... ... ... ... ... ... \n", "2020-02-29 23:58:49 2020-02-29 2020 2 29 23 58 49 \n", "2020-02-29 23:58:57 2020-02-29 2020 2 29 23 58 57 \n", "2020-02-29 23:59:05 2020-02-29 2020 2 29 23 59 5 \n", "2020-02-29 23:59:28 2020-02-29 2020 2 29 23 59 28 \n", "2020-02-29 23:59:54 2020-02-29 2020 2 29 23 59 54 \n", "\n", "[2074026 rows x 13 columns]" ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# LLamando a la funcion y creando nuevo df\n", "\n", "df = pd.concat([df.reset_index(),componentes_fecha(df)], axis = 1).set_index('fecha')\n", "df" ] }, { "cell_type": "code", "execution_count": 21, "id": "ab15794a", "metadata": {}, "outputs": [], "source": [ "# Indicadores exógenos de feriados importantes.\n", "\n", "df['black_friday'] = 0\n", "df.loc['2019-11-29','black_friday'] = 1\n", "\n", "df['san_valentin'] = 0\n", "df.loc['2020-02-14','san_valentin'] = 1" ] }, { "cell_type": "code", "execution_count": 22, "id": "edf89e14", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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fecha
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" ], "text/plain": [ " evento producto categoria precio \\\n", "fecha \n", "2019-10-01 00:01:46 view 5843665 1487580005092295511 9.44 \n", "2019-10-01 00:01:55 cart 5868461 1487580013069861041 3.57 \n", "2019-10-01 00:02:50 view 5877456 1487580006300255120 122.22 \n", "2019-10-01 00:03:41 view 5649270 1487580013749338323 6.19 \n", "2019-10-01 00:03:44 view 18082 1487580005411062629 16.03 \n", "\n", " usuario sesion \\\n", "fecha \n", "2019-10-01 00:01:46 462033176 a18e0999-61a1-4218-8f8f-61ec1d375361 \n", "2019-10-01 00:01:55 514753614 e2fecb2d-22d0-df2c-c661-15da44b3ccf1 \n", "2019-10-01 00:02:50 527418424 86e77869-afbc-4dff-9aa2-6b7dd8c90770 \n", "2019-10-01 00:03:41 555448072 b5f72ceb-0730-44de-a932-d16db62390df \n", "2019-10-01 00:03:44 552006247 2d8f304b-de45-4e59-8f40-50c603843fe5 \n", "\n", " date año mes dia hora minuto segundo \\\n", "fecha \n", "2019-10-01 00:01:46 2019-10-01 2019 10 1 0 1 46 \n", "2019-10-01 00:01:55 2019-10-01 2019 10 1 0 1 55 \n", "2019-10-01 00:02:50 2019-10-01 2019 10 1 0 2 50 \n", "2019-10-01 00:03:41 2019-10-01 2019 10 1 0 3 41 \n", "2019-10-01 00:03:44 2019-10-01 2019 10 1 0 3 44 \n", "\n", " black_friday san_valentin \n", "fecha \n", "2019-10-01 00:01:46 0 0 \n", "2019-10-01 00:01:55 0 0 \n", "2019-10-01 00:02:50 0 0 \n", "2019-10-01 00:03:41 0 0 \n", "2019-10-01 00:03:44 0 0 " ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Tablón Analitico final\n", "\n", "df.head()" ] }, { "cell_type": "markdown", "id": "52ce523d", "metadata": {}, "source": [ "\"JPierre-DATA" ] }, { "cell_type": "markdown", "id": "faffe031", "metadata": {}, "source": [ "# Procesos EDA" ] }, { "cell_type": "markdown", "id": "2c7239fe", "metadata": {}, "source": [ "## Analizando las ventas:" ] }, { "cell_type": "code", "execution_count": 23, "id": "3c36c88c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "view 961558\n", "cart 574547\n", "remove_from_cart 410357\n", "purchase 127564\n", "Name: evento, dtype: int64" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Frecuencia de eventos\n", "\n", "eventos = df.evento.value_counts()\n", "eventos" ] }, { "cell_type": "code", "execution_count": 24, "id": "b58baf4f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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kpivalor
0visitas100.00
1carrito59.75
2compra22.20
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" ], "text/plain": [ " kpi valor\n", "0 visitas 100.00\n", "1 carrito 59.75\n", "2 compra 22.20" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Generación de kpi Customer Journey\n", "\n", "kpi_visualizaciones_p = 100\n", "kpi_carrito_p = eventos.loc['cart'] / eventos.loc['view'] * 100\n", "kpi_abandono_p = eventos.loc['remove_from_cart'] / eventos.loc['cart'] * 100\n", "kpi_compra_p = eventos.loc['purchase'] / eventos.loc['cart'] * 100\n", "\n", "kpis = pd.DataFrame({'kpi':['visitas','carrito','compra'],\n", " 'valor':[kpi_visualizaciones_p,kpi_carrito_p,kpi_compra_p]})\n", "\n", "kpis" ] }, { "cell_type": "code", "execution_count": 25, "id": "a53ba042", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "marker": { "color": [ "red", "blue", "green" ] }, 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"automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Funnel Conversión Inicial" } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Visualizando el embudo de Ventas\n", "\n", "from plotly import graph_objects as go\n", "\n", "fig = go.Figure(go.Funnel(\n", " y = kpis.kpi,\n", " x = kpis.valor.round(2),\n", " marker = {'color': ['red','blue','green']},\n", " opacity = 0.3\n", " ))\n", "\n", "fig.update_layout(\n", " title = 'Funnel Conversión Inicial')\n", " \n", "fig.show()" ] }, { "cell_type": "markdown", "id": "569c657b", "metadata": {}, "source": [ " \n", "Conclusiones:\n", "\n", "* Las tasas de partida son un 60% de carrito sobre visualiazaciones y un 22% de compra sobre carrito\n", "* Por tanto, existe un **40% de visitas** sobre las que hay que trabajar para conseguir más carritos, y un **78% de carritos** sobre los que trabajar para conseguir más compras" ] }, { "cell_type": "code", "execution_count": 26, "id": "31fed473", "metadata": {}, "outputs": [], "source": [ "# generando dataframe agregado para analizar sesiones.\n", "\n", "sesion_prod = df.groupby(['sesion','evento']).producto.count()\n", "sesion_prod = sesion_prod.unstack().fillna(0)\n", "sesion_prod = sesion_prod[['view','cart','remove_from_cart','purchase']]" ] }, { "cell_type": "code", "execution_count": 27, "id": "7baad220", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "evento\n", "view 2.16\n", "cart 1.29\n", "remove_from_cart 0.92\n", "purchase 0.29\n", "dtype: float64" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# media de cada evento por sesión\n", "\n", "media_eventos_sesion = sesion_prod.mean()\n", "media_eventos_sesion" ] }, { "cell_type": "markdown", "id": "8b533675", "metadata": {}, "source": [ " \n", "Conclusión:\n", "\n", "En cada sesión, de media:\n", "\n", "* Se ven 2.2 productos\n", "* Se añaden 1.3 productos al carrito\n", "* Se eliminan 0.9 productos del carrito\n", "* Se compran 0.3 productos\n", "\n", "**Estos números representan el objetivo de las acciones de CRO para lograr los incrementos.**" ] }, { "cell_type": "code", "execution_count": 28, "id": "c828e843", "metadata": {}, "outputs": [], "source": [ "# generando dataframe agregado para analizar sesiones.\n", "\n", "eventos_hora = df.groupby(['evento','hora']).producto.count()\n", "eventos_hora = eventos_hora.unstack(level = 0)" ] }, { "cell_type": "code", "execution_count": 29, "id": "446ba0cf", "metadata": {}, "outputs": [], "source": [ "# crear una nueva variable que sea el ratio de compras por visita en cada hora.\n", "\n", "eventos_hora['compras_visitas'] = eventos_hora.purchase / eventos_hora.view * 100\n", "eventos_hora = eventos_hora[['view','cart','remove_from_cart','purchase','compras_visitas']]" ] }, { "cell_type": "code", "execution_count": 30, "id": "c53ad51f", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Analizamos los horarios de compra.\n", "\n", "plt.figure(figsize = (10,4))\n", "sns.lineplot(data = eventos_hora, x = eventos_hora.index, y = 'compras_visitas')\n", "plt.xticks(eventos_hora.index);" ] }, { "cell_type": "code", "execution_count": 31, "id": "1467e83e", "metadata": {}, "outputs": [], "source": [ "# titpificar variables para unificar escalas y generar mapa de calor por hora\n", "\n", "def tipificar(variable):\n", " media = variable.mean()\n", " dt = variable.std()\n", " return(variable.apply(lambda x: (x - media) / dt))" ] }, { "cell_type": "code", "execution_count": 32, "id": "4f80bd8e", "metadata": {}, "outputs": [], "source": [ "# llamando a la función\n", "\n", "eventos_hora_tip = eventos_hora.apply(tipificar)" ] }, { "cell_type": "code", "execution_count": 33, "id": "2b74369b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Mapa de calor agregado por eventos en cada horario\n", "\n", "plt.figure(figsize = (12,12))\n", "sns.heatmap(data = eventos_hora_tip);" ] }, { "cell_type": "markdown", "id": "238dbaec", "metadata": {}, "source": [ " \n", "\n", "**INSIGHT #1**: Todas las métricas se maximizan en las franjas entre las 9:00 y las 13:00 y entre las 18:00 y las 20:00\n", "* Esta info es muy relevante, por ejemplo, de cara a paid ads, tanto de generación de tráfico como de retargeting.\n", "* Además, parece haber algún segmento de clientes que compra a la 01:00 am, que aunque no sea muy frecuente, compra mucho.\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 34, "id": "ca6c8749", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "124309.92" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Media de facturacion mensual\n", "\n", "df.loc[df.evento == 'purchase'].groupby('mes').precio.sum().mean()" ] }, { "cell_type": "markdown", "id": "1c34d9e1", "metadata": {}, "source": [ "**Esta variable es importante porque representa el ticket medio por mes (125000 $), el cual será nuestro barómetro de crecimiento.**\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 35, "id": "336985b1", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Analizando la tendencia de facturacion mensual\n", "\n", "tendencia = df.groupby('evento').resample('W').evento.count().unstack(level = 0)\n", "tendencia = tendencia[['view','cart','remove_from_cart','purchase']]\n", "tendencia.plot(subplots = True, figsize = (12,6), sharex = True, xticks = tendencia.index, x_compat=True, rot = 90);" ] }, { "cell_type": "markdown", "id": "f19a46f6", "metadata": {}, "source": [ "\n", "\n", "**INSIGHT #2:** La gran conclusión es que todo el pastel de las compras navideñas se reparte en la semana del black friday\n", "* La tendencia es plana en todas las métricas, lo que confirma la necesidad de las acciones de CRO.\n", "* hay un pico muy pronunciado el 27 de Enero, seguramente algún evento local\n", "\n", "" ] }, { "cell_type": "markdown", "id": "eb945249", "metadata": {}, "source": [ "## Analizando a los Clientes:" ] }, { "cell_type": "code", "execution_count": 36, "id": "0bb9e781", "metadata": {}, "outputs": [], "source": [ "# Creando un df agregado por clientes y 3 variables importantes.\n", "\n", "clientes = df.loc[df.evento == 'purchase'].groupby(['usuario']).agg({'producto':'count',\n", " 'sesion':'nunique', \n", " 'precio': 'mean',\n", " 'date': 'max'})\n", "clientes.columns = ['productos_tot_num','compras_tot_num','precio_medio_prod','ult_compra']" ] }, { "cell_type": "code", "execution_count": 37, "id": "ffc75c6b", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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productos_tot_numcompras_tot_numprecio_medio_prodult_compragasto_totproductos_por_compra
usuario
25392526317.382019-12-1822.143.00
277567571120.632020-01-2720.631.00
50748978911.112019-12-1410.019.00
52747911317.672019-10-1023.023.00
65241811518.362019-11-1141.795.00
.....................
621995551512.092020-02-2910.465.00
6220216871113.332020-02-2913.331.00
622041514310.632020-02-291.903.00
6220426983128.042020-02-2984.133.00
622065819415.122020-02-2920.484.00
\n", "

11040 rows × 6 columns

\n", "
" ], "text/plain": [ " productos_tot_num compras_tot_num precio_medio_prod ult_compra \\\n", "usuario \n", "25392526 3 1 7.38 2019-12-18 \n", "27756757 1 1 20.63 2020-01-27 \n", "50748978 9 1 1.11 2019-12-14 \n", "52747911 3 1 7.67 2019-10-10 \n", "65241811 5 1 8.36 2019-11-11 \n", "... ... ... ... ... \n", "621995551 5 1 2.09 2020-02-29 \n", "622021687 1 1 13.33 2020-02-29 \n", "622041514 3 1 0.63 2020-02-29 \n", "622042698 3 1 28.04 2020-02-29 \n", "622065819 4 1 5.12 2020-02-29 \n", "\n", " gasto_tot productos_por_compra \n", "usuario \n", "25392526 22.14 3.00 \n", "27756757 20.63 1.00 \n", "50748978 10.01 9.00 \n", "52747911 23.02 3.00 \n", "65241811 41.79 5.00 \n", "... ... ... \n", "621995551 10.46 5.00 \n", "622021687 13.33 1.00 \n", "622041514 1.90 3.00 \n", "622042698 84.13 3.00 \n", "622065819 20.48 4.00 \n", "\n", "[11040 rows x 6 columns]" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Generando 2 nuevas variables\n", "\n", "clientes['gasto_tot'] = clientes.productos_tot_num * clientes.precio_medio_prod\n", "clientes['productos_por_compra'] = clientes.productos_tot_num / clientes.compras_tot_num\n", "clientes" ] }, { "cell_type": "code", "execution_count": 38, "id": "9555b387", "metadata": {}, "outputs": [ { "data": { "image/png": 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tXbpUH330kUpKSuTxeHzWOxwOffDBBzXWad68uebOnev9/ujRo0pLS1NUVJQ6d+6sRYsWyeVyKSTk52nGx8frlVdeUUFBgQ4ePKjTp08rPj7euz4iIkKxsbHKzMzU4MGDtWPHjnPWiIyMrE0LJEmeSk/NgxqRSk9lve6vqn9299GypOLiYltrNnQlJSU+f6P26KU96KN96KV9LMuSw+Gok9q1ClTTp0/Xhg0bdMMNN6hr164KCjJ/ndUzzzzjvZq0ZMkShYeHKy8vT9HR0T7jWrduLUk6dOiQ8vLyJElt27Y9a0zVA/Q11TAJVKWlpbXetiEqPh2YEGJ3Hys9lcrOyrK1ZmORk5MT6ClcMOilPeijfeilPZxOZ53UrVWgev/99zV+/Hg9/PDDtk3kgQce0JAhQ/Tmm29q9OjReuONN1RaWnrWgTdp0kSSVFZW5k3r1Y0pLCyUpBprmAgNDVVQ8IXzbtTwS8PrdX+eSo9KS0tt72NwULC6du1qW73GoKSkRDk5OerQoYPCwsICPZ1GjV7agz7ah17aZ+/evXVWu1aBqqKiQj169LB1Ip07d5YkPf/889q1a5dWr16t0NBQud1un3FVISg8PFyhoaGSJLfb7f26akzVSVdTDRNBwUG2PvsTaIE6Frv76HCY/2wbq7CwsIv22O1GL+1BH+1DL83V1e0+qZYv9uzTp48++eQT450XFBRo8+bNqqz8+dmdoKAgderUSfn5+YqKilJ+fr7PNlXft2nTxnurr7oxUVFRklRjDQAAAFO1ukI1aNAgPffcczp27Jji4uKqvQR511131VgnPz9fEyZMUGRkpG666SZJUnl5uXbv3q0BAwaoZcuWWrt2rSorKxUcfOYKxrZt29SxY0dFRkaqWbNmatq0qTIyMtS+fXtJZz76Zvfu3UpOTpYkuVyuc9YAAAAwVatANW7cOEnSO++8o3feeees9Q6Hw69AFRMToz59+mjq1KmaNm2aIiIitHTpUhUVFWnYsGFq0qSJli9frsmTJ+uhhx7SV199pVWrVmnq1KmSzjw7lZycrNmzZ6tFixZq166dZs2apaioKA0cOFCSlJSUdM4aAAAApmoVqLZu3WrLzh0Oh+bPn685c+Zo3LhxOnnypHr37q01a9boiiuukCQtX75c06dPV2Jiolq1aqWJEycqMTHRW2Ps2LGqqKjQlClTVFpaKpfLpbS0NO+D6JGRkTXWAAAAMFGrQNWuXTvbJtCsWTOlpqYqNTW12vU9evRQenr6r24fHByslJQUpaSk/OqYmmoAAACYqFWg+stf/lLjmMcff7w2pQEAABod2wNV06ZN1bp1awIVAAC4aNQqUGVnZ5+1rLi4WDt37lRqaqqeeeYZ44kBAAA0Fra9njo8PFwJCQkaPXq0XnrpJbvKAgAANHi2f25K27ZttX//frvLAgAANFi1uuVXHcuydPjwYS1btszW3wIEAABo6GoVqGJiYn7183Asy+KWHwAAuKjUKlCNHj262kDVtGlT9e/fXx06dDCdFwAAQKNRq0A1ZswYu+cBAADQaNX6GSq3262NGzcqIyNDRUVFat68uXr37q3ExEQ1adLEzjkCAAA0aLUKVEVFRfrjH/+o7OxsXXHFFWrVqpUOHDigzZs3a82aNXrjjTfUrFkzu+cKAADQINXqtQlz5sxRXl6eVq9erQ8//FDp6en68MMPtXr1ahUUFGjBggV2zxMAAKDBqlWg2rp1q8aNG6fevXv7LO/du7fGjh2r999/35bJAQAANAa1ClSnT5/WVVddVe26q666SidOnDCZEwAAQKNSq0D1L//yL/roo4+qXbd161ZdffXVRpMCAABoTGr1UPqDDz6oJ554Qm63W3fccYdatmypo0eP6t1339X69euVmppq8zQBAAAarloFqkGDBiknJ0dLly7V+vXrvcsvueQSjR49WkOGDLFtggAAAA1drQJVcXGxHnvsMSUnJ2vXrl0qLCzU4cOHNWTIEF122WV2zxEAAKBBO69nqLKysnTXXXfptddekyRFRESob9++6tu3r+bPn6/77rtP+/fvr4t5AgAANFh+B6off/xRw4YNU2FhoTp37uyzzul06umnn9bp06d13333KS8vz/aJAgAANFR+B6pXX31VzZs319tvv61bb73VZ11YWJiSk5O1YcMGhYeHa+nSpbZPFAAAoKHyO1Bt27ZNDz30kC6//PJfHRMZGanhw4dr27ZtdswNAACgUfA7UB05csSv90tFR0dzyw8AAFxU/A5ULVq0UH5+fo3jjh07ds6rWAAAABcavwOVy+XSxo0baxz3zjvvqGvXrkaTAgAAaEz8DlT333+/MjIy9MILL6isrOys9W63Wy+++KL++7//W0OHDrV1kgAAAA2Z3y/27N69u5566inNmDFDf/3rX3XTTTfpyiuvVGVlpQ4dOqSMjAwdP35cf/rTn5SQkFCXcwYAAGhQzutN6UOHDlVMTIzS0tK0detW75WqSy+9VH369NGIESMUFxdXJxMFAABoqM77o2euv/56XX/99ZKk48ePKygoiI+bAQAAF7VafZZflebNm9s1DwAAgEbrvD7LDwAAAGcjUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgKeKA6ceKEnn32WfXt21fXXXed7r33Xu3YscO7PisrS8nJyerZs6f69++vtLQ0n+09Ho8WLlyohIQExcXFacSIEcrNzfUZU1MNAAAAEwEPVE888YS+/PJLzZ07V2+99ZauvfZaPfjgg9q/f7+OHz+u4cOHq0OHDtqwYYPGjBmjBQsWaMOGDd7tFy9erLVr12ratGlKT0+Xw+HQyJEj5Xa7JcmvGgAAACZCArnz3NxcffbZZ3rzzTd13XXXSZImT56sTz75RJs3b1ZoaKicTqdSU1MVEhKiTp06KTc3V8uWLVNSUpLcbrdWrFihlJQU9evXT5I0b948JSQkaMuWLRo8eLDWrVt3zhoAAACmAnqFqnnz5nr11VfVrVs37zKHwyHLslRYWKgdO3bI5XIpJOTn3BcfH68DBw6ooKBA2dnZOn36tOLj473rIyIiFBsbq8zMTEmqsQYAAICpgF6hioiI8F5ZqvLee+/phx9+UJ8+fTRv3jxFR0f7rG/durUk6dChQ8rLy5MktW3b9qwxhw8fliTl5eWds0ZkZGSt5++p9NR624ao0lNZr/ur6p/dfbQsqbi42NaaDV1JSYnP36g9emkP+mgfemkfy7LkcDjqpHZAA9Uv7dy5U08//bRuueUWDRgwQDNnzpTT6fQZ06RJE0lSWVmZ9+SqbkxhYaEkqbS09Jw1TJSWlhpt39AUnw5MCLG7j5WeSmVnZdlas7HIyckJ9BQuGPTSHvTRPvTSHr/MBHZpMIHqgw8+0JNPPqm4uDjNnTtXkhQaGup9uLxKVQgKDw9XaGioJMntdnu/rhoTFhbmVw0ToaGhCgoO+HP9tgm/1Kwf58tT6VFpaantfQwOClbXrl1tq9cYlJSUKCcnRx06dPCe+6gdemkP+mgfemmfvXv31lntBhGoVq9erenTp2vgwIGaPXu2Nz1GRUUpPz/fZ2zV923atFFFRYV3Wfv27X3GxMTE+FXDRFBwkIKDgo1qNCSBOha7++hwmIflxiosLOyiPXa70Ut70Ef70EtzdXW7T2oAr01444039Pzzz2vo0KGaP3++z6U4l8ulnTt3qrLy52d7tm3bpo4dOyoyMlIxMTFq2rSpMjIyvOuLioq0e/du9e7d268aAAAApgIaqA4cOKAZM2Zo4MCBGjVqlAoKCnTkyBEdOXJEJ0+eVFJSkk6dOqXJkydr37592rhxo1atWqVRo0ZJOnMfNDk5WbNnz9bWrVuVnZ2t8ePHKyoqSgMHDpSkGmsAAACYCugtv//8z/9UeXm5tmzZoi1btvisS0xM1AsvvKDly5dr+vTpSkxMVKtWrTRx4kQlJiZ6x40dO1YVFRWaMmWKSktL5XK5lJaW5r3SFRkZWWMNAAAAEwENVI888ogeeeSRc47p0aOH0tPTf3V9cHCwUlJSlJKSUusaAAAAJgL+DBUAAEBjR6ACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAw1KAC1eLFi3X//ff7LMvKylJycrJ69uyp/v37Ky0tzWe9x+PRwoULlZCQoLi4OI0YMUK5ubnnVQMAAMBEgwlUr732mhYuXOiz7Pjx4xo+fLg6dOigDRs2aMyYMVqwYIE2bNjgHbN48WKtXbtW06ZNU3p6uhwOh0aOHCm32+13DQAAABMhgZ7ATz/9pMmTJ2vnzp3q2LGjz7p169bJ6XQqNTVVISEh6tSpk3Jzc7Vs2TIlJSXJ7XZrxYoVSklJUb9+/SRJ8+bNU0JCgrZs2aLBgwfXWAMXHsuSytwVgZ6GjRxq4gwO9CQAAOcQ8ED17bff6rLLLtOmTZv08ssv6+DBg951O3bskMvlUkjIz9OMj4/XK6+8ooKCAh08eFCnT59WfHy8d31ERIRiY2OVmZmpwYMH11gjMjKyfg4U9cchTV2eEehZ2Oa5h24M9BQAADUIeKAaMGCABgwYUO26vLw8RUdH+yxr3bq1JOnQoUPKy8uTJLVt2/asMYcPH/arhkmg8lR6ar1tQ1TpqazX/VX1ry76WN/HUpcsSyouLj7nmJKSEp+/UXv00h700T700j6WZcnhcNRJ7YAHqnMpLS2V0+n0WdakSRNJUllZmffkqm5MYWGhXzVM53chKT597n+060pd9DFQx1IXKj2Vys7K8mtsTk5O3U7mIkIv7UEf7UMv7fHLTGCXBh2oQkNDvQ+XV6kKQeHh4QoNDZUkud1u79dVY8LCwvyqYTq/oOAG81y/sfBLzfpxvjyVHpWWltZJH+v7WOpScFCwunbtes4xJSUlysnJUYcOHbznPmqHXtqDPtqHXtpn7969dVa7QQeqqKgo5efn+yyr+r5NmzaqqKjwLmvfvr3PmJiYGL9qmAgKDlJw0IXzsHCgjqUu+ngh/VwcDv/Df1hYmPF/KOAMemkP+mgfemmurm73SQ3otQnVcblc2rlzpyorf34eZtu2berYsaMiIyMVExOjpk2bKiPj5weQi4qKtHv3bvXu3duvGgAAAKYadKBKSkrSqVOnNHnyZO3bt08bN27UqlWrNGrUKEln7oMmJydr9uzZ2rp1q7KzszV+/HhFRUVp4MCBftUAAAAw1aBv+UVGRmr58uWaPn26EhMT1apVK02cOFGJiYneMWPHjlVFRYWmTJmi0tJSuVwupaWleR8686cGAACAiQYVqF544YWzlvXo0UPp6em/uk1wcLBSUlKUkpLyq2NqqgEAAGCiQd/yAwAAaAwIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIZCAj0BAOdmWVKZu+KcY4KCnYqJ7aagoOAaxwaWQ02cwYGeBADYjkAFNHQOaeryjHMOqfRUqvh0scIvDVdwUMMNLM89dGOgpwAAdYJbfgAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIYIVAAAAIb4LD8A9cafD3oOtPP7oGk+7BnAGQQqAPXHjw96DrTz+aBpPuwZQBVu+QEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABgiUAEAABjixZ4AUEuN4c3v/uOt74AJAhUA1FYjePO7v3jrO2CGQAUAsP1q2/l9JmJd4Iob6heBCgBg+9W28/lMxLrAFTfUNwIVAOCCcyE93+YIviTQU4AfCFQAgAvPBfR827MPcrWtMbhoXpvg8Xi0cOFCJSQkKC4uTiNGjFBubm6gpwUAAC4AF80VqsWLF2vt2rWaOXOm2rRpo1mzZmnkyJHavHmznE5noKcHAEC1LCnAD/jby7IkhyNQe6+7HV8UgcrtdmvFihVKSUlRv379JEnz5s1TQkKCtmzZosGDBwd4hgAAVM/hkP688KOAPeBvt2cfujFgt2Nvi3OqRURondS+KG75ZWdn6/Tp04qPj/cui4iIUGxsrDIzMwM4MwAAcCFwWJZlBXoSde3999/XmDFj9OWXXyo09Odk+qc//UmlpaV65ZVXzqve559/LsuydKrUY/dUA6Z5s1AdP1la7/u1PJYcQfZegg3UsdQVf4+nLnppt8bys/G3l43lePxRF8cSyHPyQvvZHCssafD/+/ZXIH824U6HgoODdN1119le+6K45VdSUiJJZz0r1aRJExUWFp53Pcf/3fytq8uGgXIhHc+FdCzShXU8F9KxSBfW8VxIxyJdWMcTeXlYoKdgq0D9bMrLy73/htvtoghUVVel3G63zxWqsrIyhYWd/0naq1cv2+YGAAAav4viGaq2bdtKkvLz832W5+fnKyoqKhBTAgAAF5CLIlDFxMSoadOmysj4+bcKioqKtHv3bvXu3TuAMwMAABeCi+KWn9PpVHJysmbPnq0WLVqoXbt2mjVrlqKiojRw4MBATw8AADRyF0WgkqSxY8eqoqJCU6ZMUWlpqVwul9LS0nipJwAAMHZRvDYBAACgLl0Uz1ABAADUJQIVAACAIQIVAACAIQIVAACAIQIVAACAIQIVAACAIQIVAACAIQLVefB4PFq4cKESEhIUFxenESNGKDc3N9DTahQOHjyoLl26nPVn/fr1kqSsrCwlJyerZ8+e6t+/v9LS0gI844Zn8eLFuv/++32W1dQ3ztnqVdfLp5566qzzs2/fvt719PKMEydO6Nlnn1Xfvn113XXX6d5779WOHTu86zkn/VdTLzkn/VdQUKCUlBTFx8erV69eevjhh7Vv3z7v+no5Ly34bdGiRdZNN91kffzxx1ZWVpY1YsQIa+DAgVZZWVmgp9bgbd261erevbv1008/Wfn5+d4/JSUl1rFjx6wbb7zRmjx5srVv3z7rrbfesrp372699dZbgZ52g7Fy5UqrS5cuVnJysneZP33jnD1bdb20LMtKTEy05s6d63N+FhQUeNfTyzOGDx9u3XnnnVZmZqa1f/9+6/nnn7d69Ohh7du3j3PyPJ2rl5bFOXk+/vCHP1hDhgyxvvrqK2vfvn3WmDFjrJtvvtkqLi6ut/OSQOWnsrIyq1evXtYbb7zhXVZYWGj16NHD2rx5cwBn1jgsWbLEuvPOO6tdt3TpUishIcEqLy/3LpszZ45122231df0Gqy8vDzrwQcftHr27Gn97ne/8wkBNfWNc9bXuXpZUVFhde/e3dqyZUu129LLM3Jycqzo6Ghr586d3mUej8caOHCgNX/+fM7J81BTLzkn/Xfs2DFr/Pjx1nfffeddlpWVZUVHR1tffvllvZ2X3PLzU3Z2tk6fPq34+HjvsoiICMXGxiozMzOAM2sc9uzZo86dO1e7bseOHXK5XAoJ+fmjJePj43XgwAEVFBTU1xQbpG+//VaXXXaZNm3apLi4OJ91NfWNc9bXuXqZk5OjsrIyderUqdpt6eUZzZs316uvvqpu3bp5lzkcDlmWpcLCQs7J81BTLzkn/de8eXPNnTtX11xzjSTp6NGjSktLU1RUlDp37lxv5+VF8+HIpvLy8iRJbdu29VneunVrHT58OBBTalS+++47tWrVSvfdd59ycnJ09dVX67HHHlNCQoLy8vIUHR3tM75169aSpEOHDikyMjIQU24QBgwYoAEDBlS7rqa+cc76Olcvv/vuOzkcDq1atUqffPKJgoKC1K9fP40bN07NmjWjl/8nIiJC/fr181n23nvv6YcfflCfPn00b948zkk/1dRLzsnaeeaZZ7Ru3To5nU4tWbJE4eHh9fb/lVyh8lNJSYkkyel0+ixv0qSJysrKAjGlRsPtdisnJ0enTp3SuHHj9Oqrr6p79+4aOXKktm3bptLS0mr7KonenkNNfeOc9d/evXsVFBSkdu3aaenSpZo0aZL+67/+S4899pg8Hg+9/BU7d+7U008/rVtuuUUDBgzgnDTwy15yTtbOAw88oA0bNujOO+/U6NGj9e2339bbeckVKj+FhoZKOhMOqr6WzvwwwsLCAjWtRsHpdCozM1MhISHeE7Zbt27av3+/0tLSFBoaKrfb7bNN1UkcHh5e7/NtLGrqG+es/8aMGaNhw4YpIiJCkhQdHa1WrVppyJAh+vrrr+llNT744AM9+eSTiouL09y5cyVxTtZWdb3knKydqkdLnn/+ee3atUurV6+ut/OSK1R+qroUmJ+f77M8Pz9fUVFRgZhSoxIeHn5W+o+OjtZPP/2kqKioavsqSW3atKm3OTY2NfWNc9Z/DofD+w9XlapbBHl5efTyF1avXq0xY8aob9++WrZsmfcfIc7J8/drveSc9F9BQYE2b96syspK77KgoCB16tTJ24/6OC8JVH6KiYlR06ZNlZGR4V1WVFSk3bt3q3fv3gGcWcOXnZ2tXr16+bxfRZK++eYbde7cWS6XSzt37vT5H8O2bdvUsWPHi/r5qZrU1DfOWf9NmDBBDz74oM+yr7/+WtKZ/+Kllz9744039Pzzz2vo0KGaP3++z38ocU6en3P1knPSf/n5+ZowYYK2b9/uXVZeXq7du3erU6dO9XdeGv++4kVk7ty51g033GB98MEH3vdU3HrrrRflOz/OR2VlpfWHP/zBuv32263MzExr37591owZM6xu3bpZ2dnZ1tGjRy2Xy2VNmjTJ2rt3r7Vhwware/fu1saNGwM99QZl0qRJPr/q70/fOGer98tefvjhh1aXLl2sxYsXW7m5udbHH39sDRgwwHriiSe8Y+ilZX3//ffWtddea40ePdrn3Uj5+flWUVER5+R5qKmXnJP+83g81ogRI6zbbrvNyszMtPbs2WONHz/ecrlc1sGDB+vtvCRQnYeKigrrpZdesuLj462ePXtaI0eOtH788cdAT6tRKCgosJ566inr5ptvtrp3724NGTLEyszM9K7/8ssvrX/7t3+zunXrZv3mN7+xXn/99QDOtmH6ZQiwrJr7xjlbvep6+R//8R/WXXfdZfXo0cO6+eabrRdeeMEqLS31rqeXZ94nFx0dXe2fSZMmWZbFOekvf3rJOem/oqIi67nnnrNuvvlmq0ePHtaIESN83ktVH+elw7Isy5ZrbgAAABcpnqECAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACAAAwRKACcNGqy9fw1bY2rwYEGicCFYCL0pIlS5SWllYntbdu3apJkyad93br16/Xiy++WAczAlDXCFQALkrz589XSUlJndR+7bXXdPjw4fPebsmSJTpx4oT9EwJQ5whUAAAAhvgsPwANSnl5uRYsWKBNmzbpxIkTcrlcuuOOOzRp0iRt3bpVV155pdavX68333xT33//vTwejzp27KhRo0Zp0KBBkiSPx6NFixbpr3/9q/Lz89W6dWvdfvvtGjNmjC655BJ16dLFZ5979uyRJH399deaP3++vvnmG5WXl+uGG27QhAkTdM011/g9//vvv1/bt2/3fv/v//7vuvHGG5Wfn6958+bpH//4h44fP67o6Gg9+uijuuWWWyRJAwYM0MGDB73bVR0rgMaBK1QAGpRnn31Wq1atUnJysl5++WW1bNlSzzzzjHf9mjVr9Oyzz+qWW27RK6+8olmzZumSSy5RSkqKDh06JElatmyZ1qxZo9GjR2vFihW69957tXz5ci1dulSSlJ6eLkm6++67vV//85//1L333iuPx6Pp06dr2rRpOnz4sO655x7t37/f7/k/99xzio2NVWxsrNLT03Xttdfq6NGjuvvuu7V9+3aNHz9eixYtUrt27TR69Ght2rRJkvSXv/xFrVq1Ur9+/ZSenq7WrVvb0k8A9SMk0BMAgCo//PCD3n77bU2aNEnDhw+XJCUkJOjo0aP69NNPJUk//vijRowYodGjR3u3u/LKK/X73/9en3/+ua644gpt375d1157rZKSkiRJN9xwg8LCwtS0aVNJUs+ePSVJUVFR3q/nzJmjq666SsuXL1dwcLAkqU+fPho4cKAWLVqk+fPn+3UMnTt3Pms/S5Ys0bFjx/Tee+/pqquukiT169dPw4YN00svvaTbb79dsbGxcjqdatGihXc7AI0HV6gANBgZGRmyLEu/+93vfJbffvvt3q///Oc/KyUlRSdPntTXX3+td999V2vWrJF05nahJN144436xz/+ofvuu08rV67U/v37lZycrLvuuqva/RYXF+vrr7/WoEGDvGFKkiIiIvSb3/xGGRkZRse1fft29erVyxumqtx55506cuSIvv/+e6P6AAKPQAWgwTh27JgkKTIy0md5y5YtvV//8MMPGjZsmFwul+69914tW7bMG6SqHgl96KGH9Oyzz6q0tFQvvviiBg0apDvuuEPbtm2rdr8nT56UZVk++/n/+z558qTRcRUWFv5qbUkqKioyqg8g8AhUABqMNm3aSJIKCgp8lld9b1mWHn74YRUUFGjdunXatWuXNm3apFGjRvmMDwoK0tChQ7Vx40Z99tlnmjlzpsrKyjRmzBi53e6z9tusWTM5HA4dPXr0rHVHjhzR5ZdfbnRcl1122a/WlqTmzZsb1QcQeAQqAA3G9ddfr+DgYL3//vs+y6u+P378uA4cOKC7775bPXr0UEjImcdAP/nkE0lnfrtPku655x5NmzZN0pmrXb///e81dOhQnTx5UqdOnZJ0JnRVCQ8PV7du3fT3v/9dlZWV3uUnT57Uxx9/rOuvv/68juP/15Ykl8ulL774Qj/++KPP8k2bNqlVq1a6+uqrq90OQOPBQ+kAGoyrrrpKSUlJmjt3rsrLyxUTE6MtW7boo48+knTmFlm7du20Zs0aRUVFKSIiQp9++qlWrVolSd4XdbpcLq1YsUItW7ZUr1699NNPP2nlypW64YYb1KJFC0lnno/64osvlJmZqd69e2vChAl68MEH9dBDDyk5OVnl5eV69dVX5Xa79fjjj5/XcVTV3rZtm2JjYzV8+HBt2rRJw4cP1+OPP67mzZvrnXfe0T//+U/NmDHDG6QiIiK0e/dubd++XT169FBoaKhdrQVQx3gPFYAGxe12a86cOXr33Xd16tQp3XTTTbr22mv18ssvKyMjQ3l5eZo+fbq++eYbOZ1Ode7cWY888ohmzJih6OhoLViwQBUVFVqyZIk2bdqkvLw8NWvWTAMGDNCECRO8t9dWrlypxYsXq7y8XH//+991xRVXKCMjQwsXLvTW7t27t5544onzeg+VdOYVDE899ZSOHDmimTNn6o477tCPP/6oOXPm6LPPPvOGxZEjR3rfQyVJmzdv1owZM3Ty5EmtXLlSvXv3trW3AOoOgQpAg3HixAl98sknSkhI8Hmu6MUXX9TGjRuNf9sOAOoKt/wANBhhYWGaPn26unbtqgceeEDh4eH6/PPP9frrr+uRRx4J6Nw8Ho/3Ga1zqXquC8DFhStUABqUrKwszZ8/X7t27VJJSYnat2+ve+65R0OHDpXD4QjYvP785z/r7bffrnEcHxkDXJwIVADgh//5n//R8ePHaxzXpUsXOZ3OepgRgIaEQAUAAGCIl54AAAAYIlABAAAYIlABAAAYIlABAAAYIlABAAAYIlABAAAYIlABAAAY+l8oLZgrt/tlOAAAAABJRU5ErkJggg==", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# analizando la distribucion de clientes en cuanto a gasto\n", "\n", "sns.histplot(data = clientes, x = 'gasto_tot', bins = 50)\n", "plt.xlim([0,300]);" ] }, { "cell_type": "markdown", "id": "94727931", "metadata": {}, "source": [ "La gran mayoría de los clientes han gastado menos de 50€ en el período." ] }, { "cell_type": "code", "execution_count": 39, "id": "0ab65737", "metadata": {}, "outputs": [ { "data": { "image/png": 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kpESZmZmaM2eOmjRpcs0TAwAAqAwuhaMHH3xQNpvtsnHLsuTn56d58+Zd88QAAAAqg0vh6KWXXrosHNlsNtWoUUNRUVGqUaOGWyYHAABwvbkUjnr27OnueQAAANwQXApHknTu3DmtWLFCKSkpys3NVe3atdW2bVs9/fTTCggIcOccAQAArhuX3q2WmZmpuLg4rVy5UtWqVVNISIi8vb21YsUKPfzwwzp9+rS75wkAAHBduHTlaObMmfL29tb777+vu+++2zF+7Ngx9evXT4mJiXr55ZfdNkkAAIDrxaUrR//+9781bNgwp2AkSXfffbeGDBmiTz/91C2TAwAAuN5cCkclJSWqXbt2mdvq1KmjCxcuXNOkAAAAKotL4ahZs2Z66623yty2efNmBQcHX9OkAAAAKotLa44GDx6s/v376/z58+rRo4fq1q2rs2fP6p133tHnn3+uuXPnunueAAAA14VL4ahDhw565ZVX9Morr+izzz5zjNerV0/Tp09XTEyM2yYIAABwPbn8OUcnTpxQs2bNtGrVKuXk5CgtLU1JSUk6f/68G6cHAABwfbkUjpYtW6b58+frqaeecvyR2TvvvFNHjx7Vq6++Kj8/Pz322GNunSgAAMD14FI4WrdunUaMGKEBAwY4xgIDAzVu3DjVqVNHf/3rXwlHAADgpuTSu9VOnz6te++9t8xtoaGhOn78+DVNCgAAoLK4FI7uvvtuff7552VuS0lJUWBgoEuTycjIUEREhDZt2uQYO3DggOLj49WqVSt17txZycnJTo8pLS3V3LlzFR0drfDwcPXr109Hjhxx2qe8GgAAAHYuhaPevXtr+fLlmjFjhnbt2qXDhw9r9+7deuWVV7Rs2TL17t37qmsWFRVp1KhRunTpkmMsOztbffv2VePGjbVx40YNHTpUSUlJ2rhxo2OfhQsXas2aNZo6darWrl0rm82mgQMHqrCwsMI1AAAA7Fxac/TEE08oMzNTK1as0MqVKx3jVapUUZ8+ffT0009fdc158+bptttucxpbt26dfHx8NHnyZHl7e6tJkyY6cuSIli5dql69eqmwsFDLly/X6NGj1alTJ0lSYmKioqOjtXXrVsXGxpZbAwAAwOTyW/mfe+45PfPMM9qzZ4/Onz8vf39/hYWF/eSfFbmS1NRUrV27Vps3b1bnzp0d4zt37lRkZKS8vf83zaioKC1evFhZWVk6ceKELl68qKioKMd2f39/hYSEKDU1VbGxseXWCAgIcO0FAAAAP0suhyNJuv322xUdHX1NE8jNzdWYMWM0ceJE3XHHHU7bMjMzL/tTJPXr15cknTx5UpmZmZJ02ePq16+vU6dOVaiGq+HIsixdunRJNptNfn5+LtWoiLy8PFmW5bH6AADcKizLks1mK3e/awpH7jB58mS1atVKPXr0uGxbfn6+fHx8nMaqVasmSSooKFBeXp4klblPTk5OhWq4qqioSAcOHJCfn59CQkJcrlOejIwMx/MEAADX5seZoCyVGo42b96snTt36p133ilzu6+vr2NhtZ090FSvXl2+vr6SpMLCQsfX9n3sV3PKq+GqqlWrqmnTphVKoNciKCiIK0cAALhBenp6hfar1HC0ceNGZWVlOa0zkqRJkyYpOTlZd955p86cOeO0zf59gwYNVFxc7Bhr1KiR0z7NmzeX9MOHU16phqtsNts1hauK8uQtOwAAbiUVvaBRqeFo1qxZys/Pdxrr2rWrhg0bpm7duum9997TmjVrVFJSoipVqkiSduzYoaCgIAUEBOj2229XjRo1lJKS4ghHubm52r9/v+Lj4yVJkZGRV6wBAABgculzjtylQYMGuueee5z+k6SAgADddddd6tWrly5cuKCEhASlp6dr06ZNWrVqlQYNGiTph/uG8fHxmjVrlrZt26a0tDSNGDFCgYGBiomJkaRyawAAAJgqfUH2lQQEBGjZsmWaNm2a4uLiVK9ePY0ZM0ZxcXGOfYYNG6bi4mJNnDhR+fn5ioyMVHJysmPBVUVqAAAA2NksVvtetX379kn64e/I2WWvf1/FZ8+5rYd33Tqq/Wg3t9UDAOBWV9b5uyyVelsNAADgRkM4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBQ6eHo/PnzeuGFF3T//ferdevW6t27t3bu3OnYfuDAAcXHx6tVq1bq3LmzkpOTnR5fWlqquXPnKjo6WuHh4erXr5+OHDnitE95NQAAAOwqPRyNHDlSe/fu1ezZs7Vhwwbde++96t+/vw4dOqTs7Gz17dtXjRs31saNGzV06FAlJSVp48aNjscvXLhQa9as0dSpU7V27VrZbDYNHDhQhYWFklShGgAAAHbeldn8yJEj+uyzz/TGG2+odevWkqSEhAR9+umnevfdd+Xr6ysfHx9NnjxZ3t7eatKkiY4cOaKlS5eqV69eKiws1PLlyzV69Gh16tRJkpSYmKjo6Ght3bpVsbGxWrdu3RVrAAAAmCr1ylHt2rW1ZMkStWzZ0jFms9lkWZZycnK0c+dORUZGytv7fxkuKipKGRkZysrKUlpami5evKioqCjHdn9/f4WEhCg1NVWSyq0BAABgqtQrR/7+/o4rPnZbtmzR0aNH1bFjRyUmJio4ONhpe/369SVJJ0+eVGZmpiTpjjvuuGyfU6dOSZIyMzOvWCMgIMCluVuWpUuXLslms8nPz8+lGhWRl5cny7I8Vh8AgFuFZVmy2Wzl7lep4ejHdu3apQkTJqhLly568MEHNX36dPn4+DjtU61aNUlSQUGB8vLyJKnMfXJyciRJ+fn5V6zhqqKiIh04cEB+fn4KCQlxuU55MjIyHM8TAABcmx9ngrLcMOHoo48+0qhRoxQeHq7Zs2dLknx9fR0Lq+3sgaZ69ery9fWVJBUWFjq+tu9jv5pTXg1XVa1aVU2bNq1QAr0WQUFBXDkCAMAN0tPTK7TfDRGOVq9erWnTpikmJkazZs1ypLrAwECdOXPGaV/79w0aNFBxcbFjrFGjRk77NG/evEI1XGWz2a4pXFWUJ2/ZAQBwK6noBY1Kfyv/66+/rilTpuiJJ57QnDlznC53RUZGateuXSopKXGM7dixQ0FBQQoICFDz5s1Vo0YNpaSkOLbn5uZq//79atu2bYVqAAAAmCo1HGVkZOill15STEyMBg0apKysLH333Xf67rvv9P3336tXr166cOGCEhISlJ6erk2bNmnVqlUaNGiQpB/uG8bHx2vWrFnatm2b0tLSNGLECAUGBiomJkaSyq0BAABgqtTbah988IGKioq0detWbd261WlbXFycXn75ZS1btkzTpk1TXFyc6tWrpzFjxiguLs6x37Bhw1RcXKyJEycqPz9fkZGRSk5OdlyBCggIKLcGAACAnc1ite9V27dvnyQpNDTUMZa9/n0Vnz3nth7edeuo9qPd3FYPAIBbXVnn77JU+pojAACAGwnhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADISjm4xVWnpT1QUA4GbjXdkTwNWxeXnp/NYNKs4+67aa3rXrqlbMI26rBwDAzYxwdBMqzj6r4rOnKnsaAAD8LHFbDQAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EIAADAQDgCAAAwEI4AAAAMhCMAAAAD4QgAAMBAOAIAADAQjgAAAAyEIwAAAAPhCFdklZbeVHUBALhW3pU9AdzYbF5eOvrRqyrIPua2mtVq361Gv37ObfUAAHAnwhHKVZB9THlnv63saQAAcF1wWw0AAMBAOAIAADAQjgAAAAyEIwAAAAPhCAAAwEA4AgAAMBCOAAAADIQjAAAAA+EINwz+VAkA4EbAJ2TjhmHz8tJXn7yiC+fd96dKatS6W2Gdx7itHgDg549whBvKhfPH9H3WocqeBgDgFnbL3FYrLS3V3LlzFR0drfDwcPXr109Hjhyp7GkBAIAbzC0TjhYuXKg1a9Zo6tSpWrt2rWw2mwYOHKjCwsLKnhoqSWlpyU1VFwBwfdwSt9UKCwu1fPlyjR49Wp06dZIkJSYmKjo6Wlu3blVsbGwlzxCVwcuriv796cvKceMap5q17lbH+8ddNl5qlcjLVsVtfTxdFwBuZbdEOEpLS9PFixcVFRXlGPP391dISIhSU1MJR7ewnPPHdO5cusf7eNmq6L3PX9a5XPcFsTr+dyv2vsuDGADg2tgsy7IqexKe9uGHH2ro0KHau3evfH19HeN//vOflZ+fr8WLF19Vvd27d8uyLFWtWlWSZLPZVJqXL7nzLeNeXvLy89WPD88PvS5K7rx141VFXn63XdbL3q84L0dWabHb2tm8vOXtV7PM51aY7/5ePr6X97L3y88/79bbYF5eVeTrW6vM53apwP29qle7vJe9n6eU9dyuV6/K6Afg56OoqEg2m02tW7e+4n63xJWjvLw8SZKPj4/TeLVq1ZSTk3PV9ey/nM1f0l5+vj+1+zUp60Tg5XfbdeslSd5+Na9bPx/f69dLknx9a123ftWrXb9ennQ9+/2cnxuA689ms1Xo5/yWCEf2q0WFhYVOV44KCgrk5+d31fUiIiLcNjcAAHBjuSXerXbHHXdIks6cOeM0fubMGQUGBlbGlAAAwA3qlghHzZs3V40aNZSSkuIYy83N1f79+9W2bdtKnBkAALjR3BK31Xx8fBQfH69Zs2apTp06uuuuuzRz5kwFBgYqJiamsqcHAABuILdEOJKkYcOGqbi4WBMnTlR+fr4iIyOVnJx82SJtAABwa7sl3soPAABQUbfEmiMAAICKIhwBAAAYCEcAAAAGwhEAAICBcAQAAGAgHAEAABgIRwAAAAbC0XW2cOFCPfnkkx6rf/78eb3wwgu6//771bp1a/Xu3Vs7d+70WL+srCyNHj1aUVFRioiI0DPPPKP09HSP9bPLyMhQRESENm3a5LEeJ06cULNmzS77b/369R7ruXnzZnXr1k2hoaGKjY3Vli1b3N4jJSWlzOfVrFkzdenSxe39JKmoqEiJiYnq3LmzIiIi9Pjjj2v37t0e6XXx4kVNmTJFnTp1Ups2bTR48GAdPXrUI73K+nk+cOCA4uPj1apVK3Xu3FnJycke7Sf98PPQqlUrHT9+3KO9Pv74Y/Xq1UsRERF68MEHNWPGDOXn53uk13vvvacePXooLCxMv/71r7VkyRK562P5yvs9PHHiRD344IMe6zV+/PjLfvbuv/9+j/Xbt2+f4uPjFRERoU6dOumVV15RYWGhS/XLO8e4+7hdzTnNncdNFq6bFStWWM2aNbPi4+M91qNv377WQw89ZKWmplqHDh2ypkyZYoWFhVnp6eke6ffoo49ajz32mPXVV19Z6enp1tChQ60OHTpYly5d8kg/y7KswsJCq2fPnlZwcLC1ceNGj/XZtm2bFRoaap0+fdo6c+aM47+8vDyP9Nu8ebPVokULa+XKldbhw4et+fPnW82bN7d2797t1j4FBQVOz+fMmTPWv//9byskJMRat26dW3vZJSUlWR06dLD+9a9/WYcPH7YSEhKs1q1bW5mZmW7vNWDAACs6Otr6+OOPrfT0dGvixInWfffdZ507d86tfcr6eT537pzVvn17KyEhwUpPT7c2bNhghYaGWhs2bPBIP8uyrLS0NKtTp05WcHCwdezYsWvu81O9UlNTrRYtWliLFy+2Dh8+bG3fvt3q1KmTNW7cOLf3+uSTT6yQkBBr9erV1tGjR60PPvjAatWqlbVixYpr6vVT/Uxbt261goODrQceeMBjveLi4qzZs2c7/QxmZWV5pF9WVpbVrl076/nnn3cct6ioKOvll192qceVzjGeOG4VPae587hZlmURjq6DzMxMq3///larVq2s3/72tx4LR4cPH7aCg4OtXbt2OcZKS0utmJgYa86cOW7vd+7cOWvEiBHWwYMHHWMHDhywgoODrb1797q9n92rr75qPfnkkx4PR6+99pr10EMPeay+qbS01HrggQcu+4XVr18/a9GiRR7tXVhYaMXGxlrDhw/3WI+HHnrImj59uuP777//3goODrb+8Y9/uLWP/f+/Tz75xDFWUlJide3a1Zo/f75belzp53nRokVWdHS0VVRU5Bh79dVXrd/85jce6bdw4UIrLCzMiouLc0s4ulKv5557zurbt6/T/ps3b7ZCQkKsgoICt/Zav369lZiY6LT/4MGDrYEDB151n4r0szt9+rQVFRVlxcfHX9NJ9kq9iouLrdDQUGvr1q0u17+afvbQ8P333zvGXnrpJat79+5X3ae8c4y7j1tFz2nuOm4mbqtdB19//bVq1qypt99+W+Hh4R7rU7t2bS1ZskQtW7Z0jNlsNlmWpZycHI/0mz17tn75y19Kks6ePavk5GQFBgaqadOmbu8nSampqVq7dq1mzJjhkfqmb775xmPP48e+/fZbnThxQj169HAaT05O1qBBgzza++9//7tOnTql8ePHe6xHrVq19M9//lPHjx9XSUmJ1q5dKx8fH7Vo0cKtfTIyMiRJbdu2dYx5eXmpefPmSk1NdUuPK/0879y5U5GRkfL2/t+frYyKilJGRoaysrLc3u9f//qXZs6cqbFjx7pU+2p69evXT2PGjLnsMcXFxbpw4YJbez3yyCMaPny4JKmkpESffvqpvvjiC3Xo0OGq+1SknyRZlqVx48bp97//vdq1a+dyn/J6HT58WAUFBWrSpMk19ahov1q1akmS3njjDZWUlOj48ePavn27S+ei8s4x7j5uFTmnufO4mW6ZPzxbmR588EH33Qe9An9/f3Xq1MlpbMuWLTp69Kg6duzo0d7PP/+81q1bJx8fH7322muqXr2623vk5uZqzJgxmjhxou644w631/+xgwcPql69enr88cd1+PBh3XPPPRo8eLCio6Pd3uvw4cOSpEuXLql///7av3+/GjZsqGeffdaj/+8UFBRo0aJF6tOnj+rXr++xPgkJCRoxYoS6dOmiKlWqyMvLS0lJSWrUqJFb+9SrV0+SlJmZ6XTyOXHihAoKCtzS40o/z5mZmQoODnYas7+uJ0+eVEBAgFv7vf7665J+WEfmDlfqFRIS4vR9YWGhVqxYoXvvvVd16tRxay+7kydP6te//rVKSkrUsWNH9e7d+6r7VLTfypUr9d1332nRokVavHixy33K63Xw4EHZbDatWrVKn376qby8vNSpUycNHz5ct99+u9v7tW3bVs8884ySkpKUmJiokpIStWvXTs8///xV96noOcZdx60i/dx53ExcOfoZ27VrlyZMmKAuXbp4PJz16dNHGzdu1EMPPaQhQ4bo66+/dnuPyZMnq1WrVpddXfGEwsJCHT58WBcuXNDw4cO1ZMkShYaGauDAgdqxY4fb+9n/5T127Fh1795dy5cvV4cOHTR48GCP9LN76623VFBQ4NE3CUjSoUOH5O/vrwULFmjt2rXq2bOnxo4dq7S0NLf2CQ8PV5MmTTRp0iSdOnVKhYWFWrlypQ4cOODyAtSrkZ+fLx8fH6exatWqSZLbwtmNoLi4WGPGjFF6eromTZrksT7+/v7asGGDkpKS9M0335R55cod0tLSNH/+fM2cOfOy4+du//3vf+Xl5aW77rpLixYt0tixY7V9+3YNHjxYpaWlbu+Xm5urw4cP64knntD69euVlJSko0ePavLkyddc+6fOMZ46bj/u58njxpWjn6mPPvpIo0aNUnh4uGbPnu3xfvbbT1OmTNGePXu0evVqTZ8+3W31N2/erJ07d+qdd95xW80r8fHxUWpqqry9vR0/dC1bttShQ4eUnJysX/3qV27tV7VqVUlS//79FRcXJ0lq0aKF9u/frxUrVri9n93mzZvVtWtX1a5d2yP1pR+u2owePVorV6503O4KDQ1Venq65s2bpwULFritV9WqVbVgwQKNGzdOnTt3lre3tzp37qxHHnlE//nPf9zW56f4+vpeFsLsocgTV1Mrg/0fDCkpKZo7d65HlwrUqFFDISEhCgkJUWlpqUaMGKHRo0frrrvucluPgoICjRo1Ss8++6yaN2/utro/ZejQoXr66afl7+8vSQoODla9evX02GOPad++fW5/PWfNmqXc3FzNmzdPknTvvfeqZs2aevrpp9WnTx+Xn/OVzjGeOG4/7ufp48aVo5+h1atXa+jQobr//vu1dOlS+fr6eqRPVlaW3n33XZWUlDjGvLy81KRJE505c8atvTZu3KisrCzHW8EjIiIkSZMmTVJsbKxbe9lVr179sn+NBAcH6/Tp027vFRgY6Khvatq0qVvfnm06d+6cvvzyS3Xr1s0j9e2++uorFRUVKTQ01Gk8PDzccTvRnYKCgrR27Vp98cUX2rFjhxYsWKDz58+rcePGbu/1Y4GBgZf9v2//vkGDBh7v72lnzpzRE088oS+//FJLly712BXpnTt3at++fU5j9rWN7v7dsnfvXv33v//V/PnzHb9bFi9erJMnTyoiIkJvv/22W/vZbDZHMLKz/9xnZma6tZf0w9WWsn72pP+t0btaP3WO8dRxK6ufp48bV45+Zl5//XVNmTJFTz75pCZMmCAvL8/l3zNnzui5555TQECA48pGUVGR9u/f7/ZfmrNmzbrs81S6du2qYcOGeeTknpaWpt69e2vp0qVOi3v/85//eGSRdkhIiG677Tbt3bvXqd/Bgwfdvi7Hbvfu3bLZbG5dxFgW+/qwb775RmFhYY7xgwcP6p577nFrrwsXLuiPf/yjxo0b51jE+f333+vzzz9XQkKCW3uVJTIyUmvWrFFJSYmqVKkiSdqxY4eCgoJcWm90I8nJyVGfPn104cIFvf7662rWrJnHei1fvlznz593rKmSfggx3t7ebg+5YWFh+vDDD53G/va3v+nDDz/U3/72N7cft+eee07nz593+vwre6DwxO+WwMBAffPNN05jBw8elCSXXssrnWM8cdx+qp+njxvh6GckIyNDL730kmJiYjRo0CCnd8f4+vq6vNjvpzRv3lwdO3bUiy++qKlTp8rf31+LFi1Sbm6unn76abf2+ql/dQcEBLj1ErtdcHCwfvnLX+rFF1/UpEmTVLt2ba1bt0579uzRhg0b3N7P19dXAwYM0IIFC9SgQQOFhYXpvffe02effaaVK1e6vZ/0QwC8++675efn55H6dmFhYWrbtq3Gjh2rSZMmKTAwUJs3b9aOHTucfom6Q40aNWSz2fTSSy9p0qRJsixLU6ZM0Z133qnu3bu7tVdZevXqpWXLlikhIUEDBgzQV199pVWrVunFF1/0eG9Pmz59uo4dO6Zly5apTp0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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Analizando clientes por su frecuencia de compra.\n", "\n", "sns.countplot(data = clientes, x = 'compras_tot_num');" ] }, { "cell_type": "markdown", "id": "bfe252fb", "metadata": {}, "source": [ "\n", " \n", "**INSIGHT #3:** La gran mayoría de los clientes sólo hace una compra.\n", "\n", "Existe gran recorrido para mejorar este ratio mediante:\n", "\n", "* email marketing con newletters y ofertas personalizadas\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 40, "id": "289f4304", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 11040.00\n", "mean 7.79\n", "std 9.49\n", "min 1.00\n", "25% 3.00\n", "50% 5.00\n", "75% 10.00\n", "max 219.00\n", "Name: productos_por_compra, dtype: float64" ] }, "execution_count": 40, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Analizando clientes por cantidad de productos en cada compra.\n", "\n", "clientes.productos_por_compra.describe()" ] }, { "cell_type": "markdown", "id": "9f747fe3", "metadata": {}, "source": [ "\n", "\n", "**INSIGHT #4:** La compra mediana incluye 5 productos.\n", "\n", "Pero un 25% de los clientes compran más de 10 productos en la misma compra.\n", "\n", "Existe gran recorrido para mejorar este ratio mediante:\n", "\n", "* sistemas de recomendación en el momento de la compra\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 41, "id": "f7368e49", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 11040.00\n", "mean 56.30\n", "std 81.73\n", "min 0.13\n", "25% 16.22\n", "50% 32.74\n", "75% 60.30\n", "max 1559.21\n", "Name: gasto_tot, dtype: float64" ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Analizando clientes por gasto total medio\n", "\n", "clientes.gasto_tot.describe()" ] }, { "cell_type": "markdown", "id": "62f0a223", "metadata": {}, "source": [ "\n", " \n", "**INSIGHT #5:** Existen clientes con gasto medio bastante alto, hasta decenas de veces superior a la media. Representan al segmento de alta facturación.\n", "\n", "Se sugiere atraer a estos clientes mediante programas de fidelización.\n", "\n", "" ] }, { "cell_type": "markdown", "id": "278d7e59", "metadata": {}, "source": [ "## Analizando a los Productos:" ] }, { "cell_type": "code", "execution_count": 42, "id": "8b21e314", "metadata": {}, "outputs": [], "source": [ "# Creando un df agregado a nivel de productos\n", "\n", "prod = df.groupby(['producto','evento']).size()\n", "prod = prod.unstack(level = 1).fillna(0)" ] }, { "cell_type": "code", "execution_count": 43, "id": "a1af30e6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " producto view cart remove_from_cart \\\n", "0 3752 10.00 0.00 0.00 \n", "1 3762 258.00 127.00 59.00 \n", "2 3763 51.00 10.00 2.00 \n", "3 3771 9.00 0.00 0.00 \n", "4 3774 76.00 26.00 13.00 \n", "... ... ... ... ... \n", "45322 5932537 1.00 1.00 0.00 \n", "45323 5932538 1.00 0.00 0.00 \n", "45324 5932540 2.00 1.00 0.00 \n", "45325 5932578 1.00 0.00 0.00 \n", "45326 5932585 2.00 0.00 0.00 \n", "\n", " purchase precio \n", "0 0.00 15.71 \n", "1 28.00 19.29 \n", "2 2.00 16.00 \n", "3 0.00 15.08 \n", "4 7.00 15.92 \n", "... ... ... \n", "45322 0.00 1.43 \n", "45323 0.00 1.43 \n", "45324 0.00 1.43 \n", "45325 0.00 6.02 \n", "45326 0.00 6.33 \n", "\n", "[45327 rows x 6 columns]" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Se crea una matriz de precios para hacer join con el df, y se reordena.\n", "\n", "maestro_precios = df.groupby('producto', as_index = False).precio.mean()\n", "prod = pd.merge(left = prod, right = maestro_precios, how = 'left', on = 'producto')\n", "prod = prod[['producto','view','cart','remove_from_cart','purchase','precio']]\n", "prod" ] }, { "cell_type": "code", "execution_count": 44, "id": "a32a2938", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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21850 rows × 6 columns

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" ], "text/plain": [ " producto view cart remove_from_cart \\\n", "0 3752 10.00 0.00 0.00 \n", "3 3771 9.00 0.00 0.00 \n", "6 3790 10.00 0.00 0.00 \n", "8 3809 2.00 0.00 0.00 \n", "9 3812 1.00 0.00 0.00 \n", "... ... ... ... ... \n", "45322 5932537 1.00 1.00 0.00 \n", "45323 5932538 1.00 0.00 0.00 \n", "45324 5932540 2.00 1.00 0.00 \n", "45325 5932578 1.00 0.00 0.00 \n", "45326 5932585 2.00 0.00 0.00 \n", "\n", " purchase precio \n", "0 0.00 15.71 \n", "3 0.00 15.08 \n", "6 0.00 7.92 \n", "8 0.00 12.54 \n", "9 0.00 12.54 \n", "... ... ... \n", "45322 0.00 1.43 \n", "45323 0.00 1.43 \n", "45324 0.00 1.43 \n", "45325 0.00 6.02 \n", "45326 0.00 6.33 \n", "\n", "[21850 rows x 6 columns]" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# produtos que no se venden\n", "\n", "prod[prod.purchase == 0]" ] }, { "cell_type": "markdown", "id": "5673a5fa", "metadata": {}, "source": [ "\n", " \n", "**INSIGHT #6:** Casi la mitad de los productos no han tenido ninguna venta en los 5 meses del histórico.\n", "\n", "* ¿No se ven?\n", "* ¿Se ven pero no se compran?\n", "* ¿Es porque se sustituyen por otros productos propios?\n", "* ¿Es porque se venden a precios mas bajos en la competencia?\n", "* Etc\n", "\n", "Se podrían eliminar del catálogo, o como mínimo de la tienda, newsletter, etc, para que no ocupen espacio de los productos que sí se venden.\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 45, "id": "2dd7f417", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Analizando la relación entre precio y volumen de ventas de los productos.\n", "# Ya que este análisis incluye las ventas vamos a eliminar los productos que no han tenido ninguna.\n", "\n", "sns.scatterplot(data = prod[prod.purchase > 0], x = 'precio', y = 'purchase', hue = 'precio');" ] }, { "cell_type": "markdown", "id": "f96c8656", "metadata": {}, "source": [ "**Sí que existe una clara relación decreciente.**" ] }, { "cell_type": "code", "execution_count": 46, "id": "1cb113c5", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# analizando 20 de los productos mas vistos\n", "\n", "prod.view.sort_values(ascending = False)[0:20].plot.bar();" ] }, { "cell_type": "markdown", "id": "06a3d8b1", "metadata": {}, "source": [ "\n", " \n", "Es posible **incrementar las ventas y el ticket medio destacando estos productos en la tienda** Siempre que además de ser vistos también se vendan.\n", "\n", "" ] }, { "cell_type": "code", "execution_count": 47, "id": "7e36c769", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Analizando productos muy vistos y poco comprados\n", "# Por ejemplo productos que miran muchos clientes pero que luego no los compran.\n", "\n", "sns.scatterplot(data = prod, x = 'view', y = 'purchase');" ] }, { "cell_type": "code", "execution_count": 48, "id": "737fc2de", "metadata": {}, "outputs": [ { "data": { "image/png": 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JMgHaiFauLsNn8SJyIiIiIjsxQBERERHZiQGKiIiIyE4MUERERER2YoAiIiIishMDFBEREZGdGKCIiIiI7MQARURERGQnBigiIiJqkhUrVmDEiBE2Y99++y2GDx+O3r17Izk5GW+//bbNI2ZEUcSSJUswYMAA9OrVC6NHj0Zubq6zS280BigiIiJqtHXr1mHJkiU2YwcPHsRzzz2Hu+++G9u3b8fs2bOxa9cuzJkzx7rOihUrsGnTJsybNw+bN2+GIAgYO3YsjEajs1toFAYoIiIiDySJIkpy8lD42xmU5ORBEkWnbr+goABPPfUUFi9ejI4dO9os27RpExITE/H000+jQ4cOGDhwICZPnowdO3bAaDTCaDTio48+wsSJE5GUlISuXbti0aJFKCgowO7du53aR2PxWXhEREQe5kpmNs589QuMZZXWMVWgP6LvSURITHun1HDs2DEEBQVhx44dWL58OS5evGhdNnr0aMhkNY/RmM1mVFRU4MKFC6isrERiYqJ1WWBgILp374709HTce++9TumhKRigiIiIPMiVzGxkfrKnxrixrBKZn+xBl7/fAf+oyGavIzk5GcnJybUu6969u21tRiPWrl2LHj16IDQ0FAcPHgQAtG7d2ma98PBwXLp0qXkKdjCewiMiIvIQkijizFe/1LtO9tcHnH46rz5msxnTpk1DVlYWZs2aBQDQ6XQAAJVKZbOuWq2GwWBweo2NwQBFRETkIUrP5ductquNsawSFRcuO6mi+lVUVOCZZ57Bnj17sGTJEvTq1QsAoNFoAKDGBeMGgwFardbpdTYGAxQREZGHMJbrGrSeqbJh6zWnwsJCPPHEEzh8+DBWr15tc7qv+tRdYWFhjddERjb/6UdHYIAiIiLyEKoWDTs6o/R37VGc0tJSjBw5ElevXsXGjRttLhYHgK5duyIgIAD79++3jpWVleH48ePo27evs8ttFF5ETkRE5CGC2kdCFehf72k8VaA/Am5q5cSqanrzzTdx/vx5rFmzBqGhobh8+c9TiqGhoVCpVEhJScGCBQsQGhqKtm3b4t1330VkZCSGDBniwsobzq0C1IoVK5CWloYNGzZYx7799lssX74cZ8+eRUhICO6++248//zz1vOnoihi2bJl2LJlC8rKytCnTx/MmjULHTp0cFUbREREzUKQyRB9T2Ktd+FV63hXPwi1TCHgLKIo4ssvv4TJZMLIkSNrLN+zZw9uuukmTJo0CWazGa+++ir0ej0SEhKQmppa48Jyd+U2Aap6JtOEhATrWPVMpi+88ALuvvtu5Obm4vXXX0dJSQnefPNNAH/OZPrmm28iIiIC7777LsaOHYudO3d6zIdARETUUC27dUS3fwyuMQ+UOtAfnf6YB+r6R6Y4w1tvvWX9s0wmw9GjR2/4GrlcjqlTp2Lq1KnNWVqzcXmAKigowMyZM5GRkVHvTKYA0KFDB0yePBmvvPKKdTr4jz76CFOnTkVSUhIAYNGiRRgwYAB2797tERNxERER2atlt44I69Lh2l155TqoWmgR1D4SgkwGi8Xi6vJ8gssDlK/PZEpERNQYgkyG4Kg2ri7DZ7k8QPn6TKZERETkeVweoBrq+plM//3vfwOofybT0tLSJm2v+r19RXW/7Ns3sG/27QvcrW+DwQBRFGGxWJr1NJskSdb/e9vpPIvFAlEUodPpIP5ltnVJkiAIgtNq8YgAVVFRgRdeeAH79++vcybT6j8DjpnJNCcnp0mv91Ts27ewb9/Cvl1PoVA47VElnvJIFHsYDAaYzWacPXu21uXOvHnM7QNUYWEhxo4diwsXLmD16tU21ztdP5Np+/btbV7TtWvXJm03KirKY6aTdwSdToecnBz27SPYN/v2Be7Wt8FgQF5eHtRqtc0/+h1NkiQYDAao1WqnHpFxFoVCgfbt20OtVtuMnz592rl1OHVrdqqeybSiogIbN25Ely5dbJZfP5NpdYCqnsk0JSWlSdvWarXw8/Nr0nt4IvbtW9i3b2HfriWTySCTySCXyyGXy5ttO9Wn7QRBaNbtuIJcLodMJoNWq60RQp0dFt06QPnCTKZERETkedw2QPnKTKZERETkedwqQPniTKZERETkeVz3sBwiIiLyCitWrMCIESNsxn777TekpKSgd+/eSEpKwjvvvAOj0WhdLooilixZggEDBqBXr14YPXo0cnNznV16ozFAEREReSBRFHEp8xzOpmXiUua5GvMiOUv1s2yvd/XqVTz11FPo1KkTtm/fjrlz5+Kzzz7DokWLrOtUP8t23rx52Lx5MwRBwNixY21Cljtzq1N4REREdGM5B09h/8d7UFVcYR3zCwnArSmD0a53tFNqqO9ZtocOHUJJSQmmTZuGgIAAdOjQAQ888AB+/PFHTJ8+HUaj0eOfZcsjUERERB4k5+ApfLf0vzbhCQCqiivw3dL/IjfDOfMhXf8s2+oJrqsFBwcDAP7zn//AYrHgwoUL2Lt3r3W9EydO1PssW0/AAEVEROQhRFHE/o/31LtO+n++d8rpvOTkZLz33nto165djWV9+/bF008/jcWLFyM2NhaDBw9Gq1at8NprrwEA8vPzAXj2s2wZoIiIiDxEwckLNY48/VXV1XJcyXJtCCkrK0NOTg6eeOIJbNmyBYsXL8a5c+cwe/ZsAPU/y9ZTHkHDa6CIiIg8hK6kskHr6UurmrmS+i1YsABlZWVYunQpAKBHjx4ICgrCk08+iZEjRzbrs2ydhUegiIiIPIQ22L9B62mCXPvomoyMDMTGxtqMVV//lJ2dbfMs2+sVFhYiMjLSOUU2EQMUERGRh4jochP8QgLqXccvtAVadm5d7zrNLTIyEidPnrQZO3XqFAAgKirK5lm21aqfZdu3b1+n1tpYDFBEREQeQiaT4daUwfWuk/DYIMhkrv31PmrUKPzwww94//33ce7cOaSlpWHGjBlISkpCt27dbJ5lu2fPHpw4cQKTJ0/2qGfZ8hooIiIiDxLVNwZ3THywxjxQ/qEt0O+JZLTrHQ29Xu/CCoHbb78dq1atwvLly7F+/XqEhIRgyJAheP75563rePqzbBmgiIiIPExU3xi0v6UzCk5egK6kEtpgf0R0uQkymQwWi8Xp9Vz/LNtqSUlJ1kkya+Ppz7JlgCIiIvJAMpkMrbu1d3UZPovXQBERERHZiQGKiIiIyE4MUERERER2YoAiIiIishMDFBEREZGdGKCIiIiI7MQARURERGQnBigiIiIiOzFAERERkV1KSkrw+uuvY+DAgbjlllvw2GOP4eDBg7Wu++qrryI5OdlmTBRFLFmyBAMGDECvXr0wevRo5ObmOqN0h2GAIiIiIrtMmTIFR44cwcKFC/Hpp5+iR48eGDNmDM6cOWOz3jfffIMtW7bUeP2KFSuwadMmzJs3D5s3b4YgCBg7diyMRqOzWmgyBigHkEQRosUCSZJcXQoREfkI0SIi69csHNpzGFm/ZkG0iE7Zbm5uLn766SfMmjULffv2RadOnTBz5kxERERg586d1vUKCwvx2muvoV+/fjavNxqN+OijjzBx4kQkJSWha9euWLRoEQoKCrB7926n9OAIfBZeE4gWM0SjEbrCfIgGPRT+LaAJawWZWg1BEFxdHhEReamj+37DZ8u3o/RyqXUsqFUQhk14CD36d2/WbYeEhODDDz9Ez549rWOCIECSJJSWXqtHkiTMmDEDDz74IPz9/fHZZ59Z1z1x4gQqKyuRmJhoHQsMDET37t2Rnp6Oe++9t1nrdxQegWokyWKBqaQEpZm/wVh0GeaKcugL8lBy4jeYqypdXR4REXmpo/t+w7rZ623CEwCUXi7Futnr8dsPvzfr9gMDA5GUlASVSmUd27VrF86dO4fbb78dALBu3TpcvnwZU6ZMqfH6/Px8AEDr1q1txsPDw3Hp0qVmrNyxGKAaSTSbUXHubC0LRFTmnoVoMjm/KCIi8mqiRcRny7fXu86OlTucdjoPADIyMvDKK69g8ODBSE5OxokTJ7Bs2TK8++67NiGrmk6nA4Aay9RqNQwGg1NqdgQGqEay6HVAHdc8WfQ6iGazkysiIiJvd/a3szWOPP1VyeVS5B53zh1t33zzDcaMGYO4uDgsXLgQBoMBL730EsaPH4+uXbvW+hqNRgMANS4YNxgM0Gq1zV6zozBANdKNLxjnBeVERORYZUXlDVqv/GpFM1cCfPzxx5g4cSIGDhyI1atXQ6PR4MiRIzh9+jSWLVuG3r17o3fv3li1ahXy8vLQu3dv7Nixw3rqrrCw0Ob9CgsLERkZ2ex1OwovIm8khabulCxTqSCT81tLRESOFRjWokHrtQgNaNY6Nm7ciLlz52LEiBF45ZVXIJNdOx4TFxeHr7/+2mbdDRs24Ouvv8aGDRsQFhYGlUqFgIAA7N+/H+3btwcAlJWV4fjx40hJSWnWuh2Jv+UbSVAqoW19E3SXLtRY5t++I2S1nPclIiJqik6xnRDUKqje03jBrYLQoXuHZqshOzsb8+fPx5AhQzBu3DgUFRVZl2k0GnToYLvtoKAgKBQKm/GUlBQsWLAAoaGhaNu2Ld59911ERkZiyJAhzVa3ozFANZJMLoemVTgU/v7QXcqDaDJArvWHX+u2kKs1ri6PiIi8kEwuw7AJD2Hd7PV1rvPA+AcgkzffFTr/+9//YDKZsHv37hrzNg0bNgxvvfXWDd9j0qRJMJvNePXVV6HX65GQkIDU1NRaLzp3VwxQTSBTKKEKDIbCLwCSJEKQySGTy11dFhERebG4gbF4cvbIGvNABbcKxkMTHkSP/t2h1+ubbfvPPPMMnnnmmQavP3HiREycONFmTC6XY+rUqZg6daqjy3MaBigHkCm899soms2QRMu1cOjFfRIReZK4gbHo2b8Hzv52FmVF5QgMa4FOsZ0gk8tgsVhcXZ5P4G9EqpVoNsNcWYGqi+dhMegh1/rB/6b2kGu0DFJERG5AJpehc3xnV5fhs/ibkGqQLBborxSiMjfbOiYajSgpLUFg5y5QhYbxUTVEROTTOA8U1SCaTag8l1PrsvKcMxA96GnZREREzYEBimqwGAx1zrIumc0QzXxMDRER+Ta3ClArVqzAiBEjbMYyMzORkpKC+Ph4DBo0CKmpqTbLRVHEkiVLMGDAAPTq1QujR49Gbq5zprD3Vjc6PSeAp++IiMi3uU2AWrduHZYsWWIzVlxcjFGjRiEqKgpbt27FxIkTsXjxYmzdutW6zooVK7Bp0ybMmzcPmzdvhiAIGDt2bI1n7FDDyVRqCHVMxyBTqSEoeekcERH5NpcHqIKCAjz11FNYvHgxOnbsaLPsk08+gUqlwuzZsxEdHY3hw4fjySefxOrVqwFcexDhRx99hIkTJyIpKQldu3bFokWLUFBQUGNyL2o4mVKJFtExNRcIAgI7x0CuUju/KCIiIjfi8gB17NgxBAUFYceOHejVq5fNsoMHDyIhIQGK626bT0xMRHZ2NoqKinDixAlUVlYiMTHRujwwMBDdu3dHenq603rwNoJMBmVgEELiekMT0RrKwCBoW9+EkNjeUPg37/OViIiIPIHLz8UkJycjOTm51mX5+fmIibE9EhIeHg4AyMvLQ35+PgBYn+x8/TqXLl1qUl06na5Jr/c01f3+tW9lZBuoJAmSIMAoikAzzm7rCnX17e3YN/v2Be7Wt8FggCiKsFgszTrZpfTHTUCSJHndpJoWiwWiKEKn00EURZtlkiQ5dYodlweo+uj1+hrPxVGrr50+MhgM1p2itnVKS+t+0GJD5OTkNOn1nop9+xb27VvYt+spFAoYDAanbKu5t3P16lUsXLgQP//8MwwGA/r06YMXXngBnTp1AgCcPHkS7777Lo4fP47g4GD8v//3//DPf/7T+npRFLFq1Sps374d5eXliI+Px4wZM9C+fft6ezKbzTh79myty535LD23DlAajabGxeDVfyH8/Pyg0Vx7aK/RaLT+uXodrVbbpG1HRUU1+T08iU6nQ05ODvv2EeybffsCd+vbYDAgLy8ParXa5neWo0mSBIPBALVa3axHZKZMmQKZTIYPP/wQWq0WS5cuxfjx4/HVV1/BYDDg2WefxeDBgzFnzhwcOXIEc+fORcuWLfHwww8DAJYvX45t27Zh3rx5iIiIwHvvvYdJkyZhx44d9QYhhUKB9u3bWw+oVDt9+nSz9VprHU7dmp0iIyNRWFhoM1b9dUREBMxms3Xs+sRaWFiIrl27NmnbWq0Wfn5+TXoPT8S+fQv79i3s27VkMhlkMhnkcjnkDnjwvMViwW8ZmSi6XIywViGI7dMNcrncetpOEASHbKc2xcXFaNeuHcaPH4+bb74ZADBhwgQ8+OCDOHv2LNLS0qBSqTBnzhwoFArExMTg/PnzSE1NxSOPPAKj0Yh169Zh6tSp1st43n//fQwYMADffvst7r333lq3K5fLIZPJoNVqa4RQZz8hw60DVEJCAjZt2gSLxWL9S5CWloaOHTsiLCwMLVq0QEBAAPbv328NUGVlZTh+/DhSUlJcWToREVGz2fd1Gpa9mYrL+UXWsVaRYXju5THoP7hfs28/JCQECxcutH595coVpKamIjIyEp07d8bSpUtrvQls1apVKCoqwsWLF+u9CayuAOVOXH4XXn2GDx+OiooKzJw5E1lZWdi2bRvWr1+PcePGAbh2rjMlJQULFizAnj17cOLECUyePBmRkZEYMmSIi6snIiJyvH1fp2HWC+/YhCcAuFxQhFkvvIMfdv/i1Hpee+019O/fH1999RXeeOMN+Pn5IT8/H5GRkTbrOesmMGdx6wAVFhaGNWvWIDs7G8OGDcOyZcswbdo0DBs2zLrOpEmT8Pe//x2vvvoqHnvsMcjlcqSmpjr1QjKihhBFCywGAyx6HSwmTvRKRPazWCxY9mYqUNvTtv4YW/H2WlgsYi0rNI+RI0di69ateOCBBzBhwgQcO3asSTeBOesi+6Zyq1N4b731Vo2xuLg4bN68uc7XyOVyTJ06FVOnTm3O0oiaxGI0oCrvAozFRYAkQaZSw/+m9lC0CIRM7la7IRG5sd8yMmscebIhAZfzi3Ds8An0u/0Wp9TUuXNnAMDcuXPx66+/4uOPP3bpTWDO4tZHoIi8gWgyovzMKRivXrE+pFk0GlB+9jTM5eUuro6IPEnR5eIGrVd8paR56ygqws6dO23mmZLJZIiOjkZhYeENbwKrPnVX2zp/PfXnrhigiJqZxaCHRVdV67LKi7mw8LmNRNRAYa1CGrReSMvgZq2jsLAQL774Ig4cOGAdM5lMOH78OKKjo5GQkICMjAybgHX9TWBdu3a13gRWrfomsL59+zZr7Y7CAEXUzEwVdR9lEg0GQHLetQpE5Nli+3RDq8gwoK479oVrd+P16N20qXxupGvXrrj99tsxZ84cHDx4EKdOncL06dNRVlaGJ5980iduAmOAImpmMmU9NzQIMtT9k5CIyJZcLsdzL4+59sVff3T88fWz00dBLm/eX++CIOD9999HYmIiXnjhBTzyyCMoLS3Fv//9b7Rp08YnbgLj1atEzUwZ0AIQBOv1T9dTt2wFmVLpgqqIyFMNvOs2zHl/Ws15oCJa4rmXR6P/4H7QO+G5pS1atMDs2bMxe/bsWpd7+01gDFBEzUymVKFFdAzKz5yyCVEKP39oI1pDkPFAMBHZZ+Bdt6H/4H71zkROzYsBiqiZCTIZlAGBCO4eB3NlBUSTCQr/AMjUasjrO71HRFQPuVyO+H49XV2Gz2KAInICQSaDXK2BXN18DxAlIiLn4bkDIiIiIjsxQBERERHZiQGKiIjIiaRa7silhnGn7x0DFBERkRMo/5iypKqq9icT0I1Vf++UbjD9Cy8iJyIicgK5XI7g4GDr89/8/PwgCI6fSNdisVgf3CuXyx3+/q4gSRKqqqpQWFiI4OBgt+iLAYqIiMhJqh+U+9eH6DqSKIowm81QKBSQedk8c8HBwW7zsGEGKCIiIicRBAGtW7dGeHg4TCZTs2xDp9Ph7NmzaN++PbRabbNswxWUSqVbHHmqxgBFRETkZHK5vNnCgChee0C5Wq2GRsO555qLdx3bIyIiInICBigiIiIiOzFAEREREdmJAYqIiIjITgxQRERERHZigCIiIiKyEwMUERERkZ0YoIiIiIjs1OiJNI1GIz799FP8/PPPuHz5MubPn48DBw6gR48eiIuLc2SNRERERG6lUUegrl69iuHDh+ONN95Abm4ujh49Cr1ej71792LEiBE4fPiwo+skIiIichuNClDvvPMOKisr8eWXX+Kzzz6DJEkAgMWLFyM2NhZLlixxaJFERERE7qRRAeq7777D888/jw4dOkAQBOu4Wq3G6NGjcezYMYcVSERERORuGhWgDAYDgoODa10ml8ub7QnTRERERO6gUQEqNjYWGzdurHXZ559/jp49ezapKCIiIiJ31qi78J5//nk8+eSTePDBB5GUlARBELBz504sXboUP/74I9asWePoOomIiIjcRqOOQPXt2xdr166FVqvFmjVrIEkS1q1bh8uXL2PVqlVITEx0dJ1EREREbqPR80AlJCRg06ZN0Ov1KC0tRUBAAPz9/R1ZGxEREZFbanSAqqioQGVlJSIiIiCTyfCvf/0L+fn5uPvuu5GQkODIGomIiIjcSqNO4R09ehTJycnYsGEDAGDevHlYsGABduzYgZEjR2LPnj0OLZKIiIjInTQqQC1atAidOnXCo48+Cr1ej88//xyPP/44Dhw4gL///e/44IMPHF0nERERkdtoVIA6cuQIxo8fj3bt2iEtLQ16vR4PPvggAGDo0KE4ffq0Q4skIiIicieNClAymQwqlQoAsHfvXgQGBlofIFxRUQGNRuO4CgGYTCYsWrQIgwYNQu/evfH444/j0KFD1uWZmZlISUlBfHw8Bg0ahNTUVIdun4iIiOh6jQpQPXv2xKefforDhw9j165dGDRoEARBQFFREVavXu3wiTRXrlyJrVu3Yt68edi+fTs6deqEsWPHoqCgAMXFxRg1ahSioqKwdetWTJw4EYsXL8bWrVsdWgMRERFRtUbdhTdt2jQ89dRT+OKLLxAaGorx48cDAO677z6IoujwI0B79uzBfffdh9tvvx0AMGPGDGzZsgW//vorcnJyoFKpMHv2bCgUCkRHRyM3NxerV6/G8OHDHVoHEREREdDII1Ddu3fH119/jc2bN+Obb75BVFQUAGD27NnYuXOnw49ABQcH47vvvsOFCxdgsViwefNmqFQqdOvWDQcPHkRCQgIUij+zYGJiIrKzs1FUVOTQOoiIiIiAJswDFRAQgF69etmM3X333QCAM2fOIDo6ummVXWfmzJmYPHkyBg8eDLlcDplMhsWLF6N9+/bIz89HTEyMzfrh4eEAgLy8PISFhTVqmzqdrsl1e5Lqftm3b2Df7NsXsG/f6luSJAiC4LTtNSpAlZaW4r333kN6ejpMJhMkSQJwrfiqqiqUlpYiMzPTYUWeOXMGgYGBWL58OSIiIrBlyxZMnz4dH3/8MfR6vfWC9mpqtRoAYDAYGr3NnJycppTssdi3b2HfvoV9+xZf7PuveaA5NSpAzZ8/Hzt37sTAgQNx9uxZaLVaREVFISMjA2VlZfi///s/hxV48eJFTJ06FevWrUPfvn0BALGxscjKysLSpUuh0WhgNBptXlMdnPz8/Bq93aioKGi12sYX7mF0Oh1ycnLYt49g3+zbF7Bv3+rb2VMoNSpA/fDDD3juuecwfvx4rF27Fvv378f777+PyspKpKSkICsry2EFHj16FCaTCbGxsTbjvXr1wr59+9CmTRsUFhbaLKv+OiIiotHb1Wq1TQpgnop9+xb27VvYt2/xtb6defoOaORF5GVlZejTpw8A4Oabb8bvv/8OAPD398fo0aPx/fffO6zA1q1bAwBOnjxpM37q1Cl06NABCQkJyMjIgMVisS5LS0tDx44dG339ExEREVF9GhWgQkJCUF5eDgDo0KEDioqKUFxcDODaUZ+CggKHFRgXF4e+ffti+vTp+OWXX5CTk4P3338faWlpePrppzF8+HBUVFRg5syZyMrKwrZt27B+/XqMGzfOYTUQERERXa9RAeq2227DBx98gAsXLuCmm25CcHAwtm3bBgD47rvvEBIS4rgCZTKsWLECiYmJePnll/Hwww/jl19+wbp16xAfH4+wsDCsWbMG2dnZGDZsGJYtW4Zp06Zh2LBhDquBiKihRLMJ4nU31xCRd2rUNVDPP/88RowYgRkzZuDjjz/G008/jbfffhurVq1CeXk5JkyY4NAig4KCMGvWLMyaNavW5XFxcdi8ebNDt0lEZA+L0QhTWQn0lwsASYI6rBVUIaGQq9SuLo2ImkGjAlTbtm3x5ZdfWm+RHDVqFFq2bIlDhw4hLi6OR3+IyKdYjEaUnzkJS1WldazqQi70lwsQGNONIYrICzV6Ik2NRoOuXbtav77//vtx//33O6QoIiJPYq4oswlP1USDHsarRdBEtHb6HUJE1LwaHaD27t2LX375BWVlZRBF0WaZIAiYP39+k4sjInJ3osUC/ZXCOpcbii5DHdYKglLpxKqIqLk1KkB99NFHeOedd6BUKtGyZcsa/7Liv7SIyJfwJx6R72lUgNqwYQPuuecevPnmmz41yykR0V/J5HKoW0XAVF5W63J1y1YQFI0+2E9EbqpR0xgUFRXh0UcfZXgiIgKg8G8BhX+LGuNyjQaqkDAelSfyQo0KUN27d0d2drajayEi8khylQoBnW5GQMfOf4SpAPi374gWN/MOPCJv1eDjynl5edY///Of/8ScOXOgUCjQp0+fWo9EtWnTxjEVEhF5ALlKBXloSygDgwEAMp62I/JqDd7Dk5OTbQ5DS5KE119/vc5D05mZmU2vjojIwzA4EfmGBu/p8+fP53l8IiIiItgRoB5++OEaY5cvX0arVq0AACUlJcjPz7eZXJOIiIjIGzXqIvKysjKMGjUKI0aMsI4dPXoUDz30EJ599lnodDqHFUhERETkbhoVoBYsWIDTp09jypQp1rHExESsWLECv//+O5YsWeKwAomIiIjcTaMC1Lfffovp06fjrrvuso6pVCokJydjypQp2LVrl8MKJCIiInI3jQpQlZWVCAwMrHVZWFgYiouLm1QUERERkTtrVIDq0aMHtm7dWuuybdu2oUuXLk0qioiIiMidNWrCkvHjx2Ps2LF4+OGHMWTIEISFheHq1avYs2cPjh07hg8++MDRdRIRERG5jUYFqP79+2PlypVYsmQJlixZAkmSIAgCunXrhhUrVmDgwIGOrpOIiIjIbTQqQP38889ISEjA1q1bYTAYUFJSghYtWsDPz8/R9RERERG5nUZdAzVt2jTs2bMHAKBWqxEREcHwRERERD6jUQFKpVJBreYTxomIiMg3NeoU3rhx4/D666/jxIkTuPnmm9GyZcsa6yQkJDS5OCIiIiJ31KgANWvWLADAihUrAMDmIcPVF5RnZmY6oDwiIiIi99OoAPWvf/3L0XUQEREReYxGBah+/fo5ug4iIiIij9GoALV9+/YbrvPQQw815q2JiIiI3F6jAtSMGTNqHRcEAXK5HHK5nAGKiIiIvFajAlT1HFDXq6qqQkZGBj788EMsX768yYURERERuatGBai2bdvWOn7zzTfDZDJh7ty52LhxY5MKIyIiInJXjZpIsz4xMTE4duyYo9+WiIiIyG04NEAZjUZ88sknCAsLc+TbEhEREbmVRp3CS05Otpk8EwBEUURxcTEMBgOmT5/ukOKIiIiI3FGj54H6a4ACgICAANxxxx3429/+1uTCiIiIiNxVowLUW2+9BUmSsG/fPmRkZKC0tBRhYWG47bbb+Aw8IiIi8nqNClAlJSUYO3Ysfv/9d8jlcgQHB6OkpAQrV67EgAEDsGzZMqhUKkfXSkREROQWGnUR+fz583Hu3DksXboUv/32G3788UccPXoUixcvxpEjR7Bo0SJH10lERETkNhoVoPbu3YuXXnoJd955p/VaKJlMhrvuuguTJ0/G559/7tAiiYiIiNxJo6cxaNmyZa3jrVu3RlVVVaMLqsv27dsxdOhQxMbG4t5778WuXbusyzIzM5GSkoL4+HgMGjQIqampDt8+ERERUbVGBahhw4Zh5cqVqKystBk3m834+OOPMWzYMIcUV+2///0vXnnlFTz66KPYuXMnhg4diilTpuDw4cMoLi7GqFGjEBUVha1bt2LixIlYvHgxtm7d6tAaiIiIiKo16iJyjUaDnJwcJCcnIzk5GeHh4SguLsaPP/6I/Px8BAUF4eWXXwZw7QHD8+fPb3SBkiRh8eLFGDlyJEaOHAkAmDBhAg4dOoQDBw7gwIEDUKlUmD17NhQKBaKjo5Gbm4vVq1dj+PDhjd4uERERUV0aFaB27NiBgIAAAMD+/fttlkVGRuLQoUPWr2ubL8oeZ8+excWLF3H//ffbjFefphs7diwSEhKgUPzZSmJiIlatWoWioiLOik5EREQO16gA9e233zq6jjrl5OQAAKqqqjBmzBgcP34cN910E8aPH4/k5GTk5+cjJibG5jXh4eEAgLy8vEYHKJ1O16S6PU11v+zbN7Bv9u0L2Ldv9S1JUpMP2tijUQHKmSoqKgAA06dPx3PPPYeXXnoJ//vf//Dss89i7dq10Ov1NeacUqvVAACDwdDo7VYHN1/Dvn0L+/Yt7Nu3+GLfzpyD0u0DlFKpBACMGTPGenF6t27dcPz4caxduxYajQZGo9HmNdXByc/Pr9HbjYqKglarbfTrPY1Op0NOTg779hHsm337AvbtW32fPn3aqdtz+wAVGRkJADVO03Xu3Bnff/892rZti8LCQptl1V9HREQ0ertarbZJAcxTsW/fwr59C/v2Lb7WtzNP3wFNmAfKWbp37w5/f38cOXLEZvzUqVNo3749EhISkJGRAYvFYl2WlpaGjh078gJyIiIiahZuH6A0Gg2eeuopLF++HDt37sS5c+ewcuVK/PTTTxg1ahSGDx+OiooKzJw5E1lZWdi2bRvWr1+PcePGubp0IiIi8lJufwoPAJ599llotVosWrQIBQUFiI6OxtKlS3HrrbcCANasWYM33ngDw4YNQ6tWrTBt2jSHT+ZJREREVM0jAhQAjBo1CqNGjap1WVxcHDZv3uzkioiIiMhXuf0pPCIiIiJ34zFHoMhziaII0WCAJIqQyeWQazSuLomIiKhJGKCoWZl1epSfPYPK3POQRBEKPz8Ed+8GdVgoZH/M8UVERORpeAqPmo3FYEDRocOoyM6FJIoAAHNVFa4czID+SpGLqyMiImo8BihqNuYqHYzFxbUuKzmeCbNe7+SKiIiIHIMBipqNsaSkzmUWnQ6S2ey8YoiIiByIAYqajfyPhzrXShAgyPjXj4iIPBN/g1GzUQUHAXWEJL82bSBz4lOziYiIHIkBipqNXK1Gq4S+NUKUskULBHWNgUzBm0CJiMgz8TcYNRtBLoc6NAStBw2E4WoxLDo9VKEhUPj7QcG5oIiIyIMxQFGzEuRyKPz8oPDzc3UpREREDsNTeERERER2YoAiIiIishMDFBEREZGdGKCIiIiI7MQARURERGQnBigiIiIiOzFAEREREdmJ80ARERE1E4vJBIgiZAoFBLnc1eWQAzFAEREROZjFYICxuARlZ89CNJqgDW8F/w7tofDzgyAIri6PHIABioiIyIEsRiNKMk+g6sJF61h5RQUqzp1HRP+/QdkiwIXVkaPwGigiO1mMRpgqK2AsLYG5qgqiyeTqkojIjVh0OpvwVE0ym1GSeQKiyeyCqsjReASKyA5mnQ5lJ4/DotdZx5TBIWjRsTPkarULKyMid6HLL6hzmb6wEKLJBJmSv349HY9AETWQxWhA6YnfbcITAJhKilF5PheixeKiyojIrdR3jROvf/IaDFBEDSQaDBANhlqXGYouQzIZnVwREbkjbWREncs0ERE8+uQlGKCIGshirCcgSRIkUXReMUTktuQaDQI6dKgxLlMqEdw1BjKl0gVVkaMxBhM1kFytqXuhIIMg4xwvRATIVSoExnSGNjIC5WfPQjSZoImIgH/bNlD4+bm6PHIQBiiiBpKpVFD4+cNcVVljmTayNWQqlQuqIiJ3JFerIW+lhiokGJIoQaZUcP4nL8NTeEQNJFepENilG5SBQX8OCgI0Ea2hbd0Wgoy7ExHZkikUkKuUDE9eiEegiOwgV2sQGNMVoskEySJCppBDUKog4yMaiIh8CgMUkZ1kCiVkCl4ESkTky3jOgYiIiMhODFBEREREdmKAIiIiIrITAxQRERGRnRigiIiIiOzEAEVERERkJwYoIiIiIjt5VIDKzs5G7969sW3bNutYZmYmUlJSEB8fj0GDBiE1NdWFFRKRJ5MkCRaDAeaqKlj0eogWi6tLIiI35TETaZpMJrz00kuoqqqyjhUXF2PUqFG48847MWfOHPz666+YM2cOgoODMXz4cBdWS0SexmIywVhchIqcbIhGIyAI0IZHwL99FORqtavLIyI34zEBaunSpfD397cZ++STT6BSqTB79mwoFApER0cjNzcXq1evZoAiogaTJAnGq0UoO33y+kHoCvJhrqpEULeekPNh0UR0HY84hZeeno7Nmzfj7bffthk/ePAgEhISoFD8mQMTExORnZ2NoqIiZ5dJBAAQLWaYq6pQkZuN0pOZ0BcWwGLQu7osqodoNKIiJ7vWZabycogGg5MrIiJ35/ZHoMrKyjBt2jS8+uqraN26tc2y/Px8xMTE2IyFh4cDAPLy8hAWFtbo7ep0uka/1hNV98u+m0YmCJDKy1B+3ZEMw5XLkKlUCOoRCxPc44ns/Lxt+1aIIkSTsc7XGSvKYFYoIElSs9bXXPh5s29fIEkSBMF5P2PdPkDNnj0b8fHxuP/++2ss0+v1UP3lsLr6j2sVDE38F2NOTk6TXu+p2HfTdI3uhMqsUzXGRaMRFdlnURkYhILCyw7ZliPw874mpmMUIAhAHQFJFOTIOnUKZrO5+YtrRvy8fYsv9v3XTNCc3DpAbd++HQcPHsTnn39e63KNRgOj0fZfjdXByc/Pr0nbjoqKglarbdJ7eBKdToecnBz23QSCIADlpXX+EjaVFCOiYyeEhrVs0nYcgZ+3bd9yQYClZSsYLhfWeI0gl0MTGIibAwOdWapD8fNm377g9OnTTt2eWweorVu3oqioCIMGDbIZnzVrFlJTU9GmTRsUFtr+wKv+OiIioknb1mq1TQ5hnoh9N01VSXG9ywVBgJ/Wfb6//Lz/pOjQEZaqKpgrK6xjglyO4B6xUGi1UDrx1EBz4eftW3ytb2eevgPcPEAtWLAAer3txbd33XUXJk2ahKFDh+KLL77Apk2bYLFYIJfLAQBpaWno2LFjk65/ImosVT1HKeRaLQS5W+9yPk2u0SC4Rywsej3MleWQqdRQ+gdAplY7/QczEbk/t/5pXtdRpLCwMLRt2xbDhw/HmjVrMHPmTDz11FM4evQo1q9fjzlz5ji5UqJrZCo11GEtYSi6UmNZi04381Z4NydXqSBXqeoNwkREgJsHqBsJCwvDmjVr8MYbb2DYsGFo1aoVpk2bhmHDhrm6NPJRMqUSAZ06QxkUjKqL5yGaTFAGtEBAVEfI/fxv/AZEROQRPC5AnTx50ubruLg4bN682UXVENUkV6mgjWwNdei108iCTAaZUuniqoiIyJE8LkAReQJBEPj4DyIiL+YRM5ETERERuRMGKCIiIiI7MUARERER2YkBioiIiMhODFBEREREdmKAIiIiIrITAxQRERGRnTgPFDmNJEqoLC5H2eVSGCp0CGodCr8gf2gCfOdp4URE5B0YoMgpJFFCYfYlfPH2J9CVVVnHo2/tigFP3gX/kAAXVkdERGQfnsIjp6goKsOOef+xCU8AcGb/Cfz2v4OwmC0uqsy9iUYjLAYDLCaTq0shIqLrMECRUxRmX4JRZ6h12dH/HURVSYWTK3JvoskI/ZXLKD52FFcPH0Rp5u8wlpZANJtdXRoREYEBipykNL+4zmUmnZFHoK4jms2oystD2clMWKqqIFksMJeXo+T3ozAWX4UkSa4ukYjI5zFAkVO06hhZ5zK/kAAoVEonVuPeRJMJVRfO1bqs/OwZiMbaj+QREZHzMECRU4S0bYnA8OBal936jyReRH4dUa+vc5lkNvE0HhGRG2CAIqcICG2BB2Y+hrbdO1jHVFo1bv/nnejY92YIguDC6tyMrP7dkt8rIiLX4zQG5DRBESG4Z8rD0JVXwWK0QO2vhl9IAORyuatLcytytRqCXA7JUvO6MLnWD4KCpzuJiFyNAYqcShOg5cSZNyBTqRDYpRtKM48B110wLsjlCIzpCrlK5cLqiIgIYIAicjuCTAZVYBBCe/eB/nIhLJWVUAYFQR0aBpla4+ry3J5Zp4exvAJVeQWQa9TwbxMBuVYDuZJH7ojIcRigiNyQIJdDofVDQPsoSJLE654ayFSpw8Xvf4a+sOjPQUFA69v7oUWHtq4rjIi8Di8iJ3JzDE8NI1ksKDmZZRueAECScOmH/TBV6VxTGBF5JQYoIvIKZr0BxZlZdS6vOHcBshvc4UhE1FD8aUJE3kGSIBrrfmaguaru+bWIiOzFAEVEXkGmUEDTKrTO5f5tI/kYHCJyGAYoIvIKco0a4f3ia12mCmoBdUgQAxQROQwDVB3kogRjeTmM5RWwGPjsMSJPoA4JQvv/7w6oQ4MBAIJchqCYjmh3VxKU/n6uLY6IvAqnMaiFUi7HlbQDMJWVAwBUQYEI6xMPVVAgBF6ESuS25Eol/CJbod1dAyGazIBMgEKjhkzBH3VE5FhMA7WwGAzW8AQAxtIy5O/9CeaqKhdWRUQNpdBqoAoMgCrAn+GJiJoFA1RtarlMQrJYUH42F5IoOr8eIiIicisMUHbQXymCaDa7ugwiIiJyMR7btoNCqwUkCWZdFSBJEOQKyFQqzhRNRETkYxig7BB4cyeUnzkFc+W166MEuQL+7aKgCgnldRZEREQ+hKfwaiGr5antIbHdYa4qt4YnAJAsZlTkZNmMNQdJFCGazbz+ioiIyE3wsEktRJmANkPugLG0DAIAVUgwRJMB5Vknal2/8nwuFH7+kClVjq3DYoFFr0NV3kVYdDoo/QOgbd0GcrUaglzu0G0RERFRwzFA1UIURZgVcgS0a2sdKz+bV+f6Fl0VJNGxMxxLoghj8VWUncy0jpnLy6AruITgHrFQBgbx2isiIiIX4Sm8BpL71T2LsUytBhwcZkSjEeVZp2oukCSUnToJ0Wh06PbIfUgWEabKKuiLimG4WgJzlY6PICEicjM8AtVA6uAwVF04B9Tyi8yvzU2Qqxx7+s5iNECyWGpdJhoNEM0myNVqh26TXM9iMqHqQj6uZPx6bSZt/PGMt9v6QtMqDDKeuiUicgtufwSqpKQEr7/+OgYOHIhbbrkFjz32GA4ePGhdnpmZiZSUFMTHx2PQoEFITU1tljpkKhUCY7rXuPZIE9EaqqAQx2/wRgcceEDCK5lKy1H4y0FreAIAi96AS9//DHMFZ8InInIXbn8EasqUKSgqKsLChQsRGhqKjRs3YsyYMdi2bRtCQ0MxatQo3HnnnZgzZw5+/fVXzJkzB8HBwRg+fLhD6xBkMihbBCK4RzxEowGSaIFcrYGgVEImd/y3Ua5WAzIZUMudd4JSWeudguTZLEYTrv6eWftCSUJZVjbCevfk8xiJiNyAWweo3Nxc/PTTT/jPf/6DW265BQAwc+ZM7Nu3Dzt37oRGo4FKpcLs2bOhUCgQHR2N3NxcrF692uEBCgAEQYBcrXbKqTOZUokWHaNRfuZ0jWWB0TGQOfiUIbmeZDHDVFr3lBiGklKIFgvkDFBERC7n1j+JQ0JC8OGHH6Jnz57WMUEQIEkSSktLcfDgQSQkJEBx3SSWiYmJyM7ORlFRkStKdhhBLoc6rCWCY3tBFRwCuUYDVWgYQnr1hjI4mHfgeSFBroAysEWdy9XBQbwGiojITbj1EajAwEAkJSXZjO3atQvnzp3D7bffjkWLFiEmJsZmeXh4OAAgLy8PYWFhjd62Tqdr9GsdSqGEtlPnaxevCwJMkgSTweDwzVT36zZ9O4m79R3cowt0+YU1FwgCWkR3gE6vd8h23K1vZ2Hf7NsX+GrfkiQ59eCCWweov8rIyMArr7yCwYMHIzk5GW+++SZUfzmVpf7j9JqhiSEjJyenSa/3VOzbtVqFhiK0by8U/3oM0h8PrpapVQhNiMf5wgKUljt21nt36dvZ2LdvYd++46+ZoDl5TID65ptv8NJLL6FXr15YuHAhAECj0cD4l/mQqoOTXz3zNjVEVFQUtFptk97Dk+h0OuTk5LBvNyCDAL/IcIgGAyAIkKlUEBVytJFC0MZB23DHvp2BfbNvX+CrfZ8+XfOa4ebkEQHq448/xhtvvIEhQ4ZgwYIF1oQZGRmJwkLb0x3VX0dERDRpm1qttskhzBOxbzfSIqDZN+GWfTsB+/Yt7Ns3OPvaYLe+iBwANm7ciLlz5+KJJ57A+++/b3N4LiEhARkZGbBcN+FkWloaOnbs2KTrn8h3iWYzLAY9DCVXYSy5CotBD7GOCU2JiMh3uXWAys7Oxvz58zFkyBCMGzcORUVFuHz5Mi5fvozy8nIMHz4cFRUVmDlzJrKysrBt2zasX78e48aNc3Xp5IFEsxn6KwUoPfEbKnPPoCL3DEpP/A5jcRFEi/nGb0BERD7DrU/h/e9//4PJZMLu3buxe/dum2XDhg3DW2+9hTVr1uCNN97AsGHD0KpVK0ybNg3Dhg1zUcXkziwmM0xVekACFH5qKFR/TkYqCALMukroC/760GgJVRdzofDzh8zPrXcXIiJyIrf+jfDMM8/gmWeeqXeduLg4bN682UkVkafSXS1D9neHcenwKUCSEB4bjeg7+wJ+10KUHIC+4FKdr9dfzod/u46cBZyIiAC4eYAicgRdcTnSV26HoazSOpZ/+BSKTp5DwoQ/j1aKJmNtL7cukyQRgnuf9SYiIifhbwPyapIkofD3szbhqZqpSo+89BMIbNECEgCFf913vSn8W0CQcRZwIiK6hgGKvJpZb0TBb2fqXH75eDb8lBpYJAma8EgAtdwGK5NBHdqSj88hIiIrBijyajK5DAp13TPTytUqiJCu/VmlRovoLpCpNX8u1/ohMLorZKrmf4A0ERF5Dl4DRV5NrlKi/e1xKDp1vtbl7fvHoqiyHGFoBUEmhzKgBQKju0D6Y+4nQa6ATKms9bVEROS7eASKvF6Lti3R+paYGuOtukchqGPrGs9NlClVkGu0kGu0DE9ERFQrHoEir6cO8EPMvX9Du7/1xKVDpyBaRLS+JQZ+LYNg4T8hiIioERigyCeoArRQBWgR1M72GYlVVVUuqoiIiDwZ//1NREREZCcGKCIiIiI7MUARERER2YkBioiIiMhODFBEREREdmKAIiIiIrITAxQRERGRnRigiIiIiOzEAEVERERkJwYoIiIiIjsxQBERERHZiQGKiIiIyE58mDARkQuY9UZIogiFWgVBzn/LEnkaBigiIicyVuhQkXcZF9J+g1lnQFiXDoiIj4E6OACCILi6PCJqIAYoIiInMVXpkbMnHQWHT1rHKvOLkHfgGHo99SD8woJcWB0R2YPHjYmInMRQUmETnqqZdQbk7EmHxWhyQVVE1BgMUERETnIlM7vOZUUncmDWGZxYDRE1BQMUEZGbkFxdABE1GAMUEZGTtOzWse5lXaOg1KqdWA0RNQUDFBGRk6iDAxAeH1NjXKFVo8PgBMhVShdURUSNwbvwvJRFb4DFoIepsgoKjQZyrRYKrcbVZRH5NKWfBh2H9EOr7h1x4eejMOsNCO3SAZHxXaAODnB1eURkBwYoL2Su0uFyegaMxSXWMYWfFuG33QplC/6QJnIllb8WoTHtEdg+EpIoQq5WQcaJNIk8DvdaL2MxmXD16O824Qm4FqoK0w7ArNO7pjAisqHQqKD00zA8EXko7rleRjQYocsvqHWZuaoKFj0DFBERUVMxQHkZyWyud7nFwHlmiIiImorXQHkZQakEZDJAFGtdrvDTOrki8lai0QiL0QCLrgoylRpyjRYylYrPcyMin8AA5WXkGjUCO0WhLOtsjWXqlmGQqznPDDWdxaBH+ZlTsOh11jFBrkDgzV0h1/oxRBGR1+MpPC8jk8vRonMnBN4cDaH64lRBgF/bNmjZJ54BippMNJtReS7HJjwBgGQxoyzrJEST0UWVERE5D49AeSGFRoOgrl3QIqoDRLMZgkIOuUoNmZIfNzWdZDbBVF5a5zLRaIRcxaBORN7NK45AiaKIJUuWYMCAAejVqxdGjx6N3NxcV5flUjK5DAp/P6iCAqH092d4IoeR6ri+rppoNjmpEiIi1/GKALVixQps2rQJ8+bNw+bNmyEIAsaOHQujkacSiBxNkCuu3ahQB7maM94Tkffz+ABlNBrx0UcfYeLEiUhKSkLXrl2xaNEiFBQUYPfu3a4uj8jryJRK+EW2qXWZMjAYMiWf50ZE3s/jA9SJEydQWVmJxMRE61hgYCC6d++O9PR0F1ZG5J0EmQzqsHD43dTh2tEoABAEaFpFIKB9R8gUDFBE5P08/sKY/Px8AEDr1q1txsPDw3Hp0iW7389kunb9xunTp33qVmxJkgCwb1/hqL4FQQn8EZik4jKguMwh9TUXft7s2xf4at8mk8mp/Xp8gNLprt1KrVKpbMbVajVKS2u/U6g+1d98WT3XeHgjQRBqfA99Aft24Hs69N2aBz9v38K+fYsgCAxQ9tBorl2wajQarX8GAIPBAK3W/lm3e/fu7bDaiIiIyDt5/GGW6lN3hYWFNuOFhYWIjIx0RUlERETk5Tw+QHXt2hUBAQHYv3+/daysrAzHjx9H3759XVgZEREReSuPP4WnUqmQkpKCBQsWIDQ0FG3btsW7776LyMhIDBkyxNXlERERkRfy+AAFAJMmTYLZbMarr74KvV6PhIQEpKam+uRFdERERNT8BKn6fkciIiIiahCPvwaKiIiIyNkYoIiIiIjsxABFREREZCcGKCIiIiI7MUARERER2YkBioiIiMhODFBEREREdvKJALVixQqMGDHCZiwzMxMpKSmIj4/HoEGDkJqaarNcFEUsWbIEAwYMQK9evTB69Gjk5uba9R6uVlvf3377LYYPH47evXsjOTkZb7/9NvR6vXX5xYsX0aVLlxr/bdmyxbqOJ/b98ssv1+hp4MCB1uXe+HmPGDGi1s+yS5cu2L59OwDP/bxLSkrw+uuvY+DAgbjlllvw2GOP4eDBg9bl3rp/36hvb92/b9S3t+7f9fXtzft3UVERpk6disTERPTu3RtPP/00srKyrMvdZv+WvNzatWulLl26SCkpKdaxq1evSrfeeqs0c+ZMKSsrS/r000+l2NhY6dNPP7Wus3TpUum2226Tvv/+eykzM1MaPXq0NGTIEMlgMDT4PVyptr7T09Olbt26SatWrZJycnKkvXv3SklJSdKMGTOs6+zZs0eKjY2VCgoKpMLCQut/Op1OkiTP7FuSJGnYsGHSwoULbXoqKiqyLvfGz7u4uNim38LCQunpp5+W7rnnHqm8vFySJM/9vEeNGiU98MADUnp6unTmzBlp7ty5UlxcnJSVleXV+3d9fXvz/l1f35Lkvft3fX178/79yCOPSI8++qh09OhRKSsrS5o4caLUv39/qaqqyq32b68NUPn5+dKYMWOk+Ph46Z577rH5xfLBBx9IAwYMkEwmk3Xsvffek+6++25JkiTJYDBIvXv3ljZu3GhdXlpaKsXFxUk7d+5s0Hu4Sn19v/jii9KoUaNs1t++fbvUvXt361+slStXSg888ECd7++JfZvNZik2NlbavXt3ra/11s/7rz7//HOpe/fu0okTJ6xjnvh55+TkSDExMVJGRoZ1TBRFaciQIdL777/vtfv3jfr21v37Rn176/59o77/ylv276tXr0qTJ0+WTp06ZR3LzMyUYmJipCNHjrjV/u21p/COHTuGoKAg7NixA7169bJZdvDgQSQkJECh+PNRgImJicjOzkZRURFOnDiByspKJCYmWpcHBgaie/fuSE9Pb9B7uEp9fY8ePRrTpk2r8Rqz2YyKigoAwMmTJ9G5c+c6398T+87JyYHBYEB0dHStr/XWz/t6VVVVeOeddzBy5Eh06dLFOu6Jn3dISAg+/PBD9OzZ0zomCAIkSUJpaanX7t836ttb9+8b9e2t+/eN+r6et+3fCxcuxM033wwAuHLlClJTUxEZGYnOnTu71f7ttQEqOTkZ7733Htq1a1djWX5+PiIjI23GwsPDAQB5eXnIz88HALRu3brGOpcuXWrQe7hKfX13794dXbt2tX5tNBqxdu1a9OjRA6GhoQCAU6dOoaioCI8//jj+9re/4bHHHsMPP/xgfY0n9n3q1CkIgoD169cjOTkZd955J+bOnYvy8nIA8NrP+3qbNm1CZWUlxo8fbzPuiZ93YGAgkpKSbB4WvmvXLpw7dw6333671+7fN+rbW/fvG/Xtrfv3jfq+njft39d77bXX0L9/f3z11Vd444034Ofn51b7t9cGqPro9Xqbv5QAoFarAQAGgwE6nQ4Aal3HYDA06D3cndlsxrRp05CVlYVZs2YBuPYDNycnBxUVFXjhhRfw4YcfIjY2FmPHjkVaWhoAz+z79OnTkMlkaNu2LT744ANMnz4de/fuxbPPPgtRFL3+87ZYLNiwYQMef/xxtGjRwjruLZ93RkYGXnnlFQwePBjJyck+s3//te/refP+/de+fWX/ruvz9ub9e+TIkdi6dSseeOABTJgwAceOHXOr/Vtx41W8j0ajgdFotBmr/qb5+flBo9EAuPYXsPrP1etotdoGvYc7q96h9u/fjyVLllhP/ahUKqSnp0OhUFj/cvXs2RNnzpxBamoqbrvtNo/se+LEiXjyyScRGBgIAIiJiUGrVq3w6KOP4rfffvP6z/vAgQPIy8vDP/7xD5txb/i8v/nmG7z00kvo1asXFi5cCMA39u/a+q7mzft3bX37wv5d3+ftzft39enHuXPn4tdff8XHH3/sVvu3Tx6BioyMRGFhoc1Y9dcRERHWQ3+1rVN92O9G7+GuCgsL8cQTT+Dw4cNYvXp1jX+5+vn51UjmMTExKCgoAOCZfQuCYP3hWi0mJgbAtUO53vx5A9d++MbFxdV6ms+TP++PP/4YEydOxMCBA7F69WrrD0tv37/r6hvw7v27rr69ff+u7/MGvG//Lioqws6dO2GxWKxjMpkM0dHR1s/MXfZvnwxQCQkJyMjIsPmA0tLS0LFjR4SFhaFr164ICAjA/v37rcvLyspw/Phx9O3bt0Hv4Y5KS0sxcuRIXL16FRs3brS5yA64drFl7969beZXAYDff//d+i8BT+z7xRdfxJgxY2zGfvvtNwDX/oXjrZ93tYyMjBqfNeDZn/fGjRsxd+5cPPHEE3j//fdtfkl48/5dX9/evH/X17c379/19V3N2/bvwsJCvPjiizhw4IB1zGQy4fjx44iOjnav/dvueww90PTp021u775y5YqUkJAgTZ8+XTp9+rS0detWKTY2Vtq2bZt1nYULF0r9+vWTvvnmG+s8EnfddZf1duCGvIer/bXv6dOnSz169JDS0tJqzB9iNpsli8UiPfLII9J9990npaenS1lZWdL8+fOlnj17Wm+N9cS+v/32W6lLly7SihUrpNzcXOn777+XkpOTpSlTpljX8cbPW5KuTeHQo0cPaceOHTXW99TP++zZs1KPHj2kCRMm1Ph7XFZW5rX794369tb9+0Z9e+v+faO+Jck7929RFKXRo0dLd999t5Seni6dPHlSmjx5spSQkCBdvHjRrfZvnwxQkiRJR44ckf7xj39IPXv2lO644w5pw4YNNsvNZrP0zjvvSImJiVJ8fLw0duxY6fz583a9h6td37fFYpFiY2OlmJiYWv+r7q2oqEh6+eWXpf79+0uxsbHSo48+KqWnp9u8ryf1Xe2rr76SHnroISkuLk7q37+/9NZbb0l6vd663Ns+72pXrlyRYmJipH379tX6Gk/8vFeuXFnn3+Pp06c3qGZP/Lzr63vq1Kleu3835PP2xv27IX174/4tSZJUVlYmzZo1S+rfv78UFxcnjR492mZeKHfZvwVJkqQmHG0jIiIi8jk+eQ0UERERUVMwQBERERHZiQGKiIiIyE4MUERERER2YoAiIiIishMDFBEREZGdGKCIiIiI7MQARUReZenSpejSpYuryyAiL8eJNInIq+Tn5yM/Px/x8fGuLoWIvBgDFBEREZGdeAqPiDzKa6+9hsTERJjNZpvxd999F/369cPChQtrnML75ptv8PDDDyM2Nhb9+/fHvHnzUFVVBQBYv349unXrhuLiYuv6H3zwAbp06YIffvjBOrZ371506dIF58+fb8buiMhTMEARkUd58MEHUVxcjLS0NOuYJEn48ssvcc8990CpVNqs//nnn2PChAno1KkTli9fjueeew47duzAs88+C0mScMcdd0AURfzyyy/W11T/OT093Tr2ww8/4Oabb0a7du2auUMi8gQMUETkUfr06YObbroJX375pXUsIyMDeXl5ePDBB23WlSQJCxYswIABA7BgwQIMHDgQjz32GBYvXoy0tDTs3bsX7du3R8eOHa2BzGg04tChQ+jRowcOHDhgfa99+/bhjjvucE6TROT2GKCIyKMIgoAHHngAu3fvhtFoBADs3LkT7dq1Q58+fWzWPXv2LPLz85GcnAyz2Wz9LyEhAQEBAfjpp58AAIMGDcLPP/8M4FoYk8lkGDlyJH7//XfodDrk5uYiNzeXAYqIrBigiMjjPPTQQygvL8e+fftgNpvx1Vdf4YEHHqixXklJCQBgzpw56NGjh81/FRUVKCwsBAAkJSXh/PnzOH/+PH755RfccsstuP3222EymXDo0CHs3bsXISEhvLOPiKwUri6AiMheHTp0QHx8PHbt2gWlUoni4uJaA1RgYCAAYNq0aejXr1+N5UFBQQCAvn37IiAgAGlpafjll19wxx13ICwsDJ07d8aBAwdw7NgxDBo0CDIZ/81JRNfwpwEReaQHHngA+/btw86dOxEfH4+oqKga63Tq1AlhYWG4cOECYmNjrf9FRkbivffew/HjxwEASqUS/fv3x7fffotjx47h1ltvBQAkJibihx9+QHp6Ok/fEZENBigi8kj33nsvdDodvvjii1qPPgGAXC7H5MmTsWnTJsybNw8//fQTdu3ahdGjR+P48ePo0aOHdd2kpCR89913UCqViI2NBQDceuutOHbsGCwWC/r37++UvojIM/AUHhF5pODgYCQlJWHv3r0YOnRones98sgj8Pf3x5o1a7B582b4+fnhlltuwYIFC2ymJEhKSoIgCLjlllugUFz70divXz8IgoB+/fohICCg2XsiIs/BmciJiIiI7MRTeERERER2YoAiIiIishMDFBEREZGdGKCIiIiI7MQARURERGQnBigiIiIiOzFAEREREdmJAYqIiIjITgxQRERERHZigCIiIiKyEwMUERERkZ0YoIiIiIjs9P8DQzRzZXew9zIAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# quitando el atípico y haciendo zoom en la ventana de muchas vistas pocas compras.\n", "\n", "sns.scatterplot(data = prod.loc[prod.view < 4000], x = 'view', y = 'purchase', hue = 'precio')\n", "plt.xlim(1000,3000)\n", "plt.ylim(0,150);" ] }, { "cell_type": "markdown", "id": "900ea880", "metadata": {}, "source": [ "**Hay una oportunidad con estos productos,** porque por algún motivo generan el interés de los clientes, pero finalmente no los compran." ] }, { "cell_type": "markdown", "id": "756f5581", "metadata": {}, "source": [ "\"JPierre-DATA" ] }, { "cell_type": "markdown", "id": "8f497952", "metadata": {}, "source": [ "# Conclusiones:" ] }, { "cell_type": "markdown", "id": "ff8b78be", "metadata": {}, "source": [ "\n", " \n", "

La tendencia actual es plana en todas las métricas, lo que confirma la necesidad de las acciones de CRO (Conversion Rate Optimization).

\n", "\n", "Tras el análisis realizado sobre los datos transaccionales, se ha desarrollado un plan CRO de 8 iniciativas concretas, organizadas en 5 grandes palancas o áreas de negocio que, con alta probabilidad y de acuerdo a los datos ahora conocidos, van a impulsar los baselines, consiguiendo un incremento global de los ingresos del ecommerce. **Los datos trazan el camino mas eficiente para obtener resultados ganadores.**\n", "\n", "" ] }, { "cell_type": "markdown", "id": "430084c8", "metadata": {}, "source": [ "## Baseline" ] }, { "cell_type": "markdown", "id": "7ee7eb85", "metadata": {}, "source": [ "\n", " \n", "Los resultados analiticos indican que el Ecommerce presenta los siguientes **valores promedio por cada sesión:**\n", "\n", "* KPIs por sesión: Se ven 2.2 productos\n", "* KPIs por sesión: Se añaden 1.3 productos al carrito\n", "* KPIs por sesión: Se eliminan 0.9 productos del carrito\n", "* KPIs por sesión: Se compran 0.3 productos\n", " \n", "* Venta cruzada: mediana de 5 productos por compra\n", " \n", "* Recurrencia: el 10% de los clientes vuelve a comprar tras el primer mes\n", " \n", "* Conversión: 60% de añadir al carrito sobre visualizaciones\n", "* Conversión: 22% de compra sobre añadidos a carrito\n", "* Conversión: 13% de compra sobre visualizaciones\n", " \n", "* Facturación media mensual: 125.000€\n", "\n", "" ] }, { "cell_type": "markdown", "id": "c8133d09", "metadata": {}, "source": [ "## Acciones de incremento de visualizaciones" ] }, { "cell_type": "markdown", "id": "78921582", "metadata": {}, "source": [ "\n", " \n", "1. Revisar las campañas de paid (generación y retargeting) para concentrar la inversión en franjas entre las 9 y las 13 y entre las 18 y las 20\n", "2. Concentrar la inversión del período navideño y post-navideño en la semana del black friday\n", "\n", "" ] }, { "cell_type": "markdown", "id": "0a6e78ff", "metadata": {}, "source": [ "## Acciones de incremento de conversión" ] }, { "cell_type": "markdown", "id": "fe4fcb94", "metadata": {}, "source": [ "\n", " \n", "3. Preconfigurar la home con los productos identificados en los análisis most viewed y most sold.\n", "4. Trabajar sobre los productos muy vistos pero poco comprados\n", "\n", "" ] }, { "cell_type": "markdown", "id": "5f274f91", "metadata": {}, "source": [ "## Acciones de incremento de venta cruzada" ] }, { "cell_type": "markdown", "id": "9066dc85", "metadata": {}, "source": [ "\n", " \n", "5. La compra mediana incluye 5 productos. Incrementar este ratio mediante la implementación en tiempo real de un sistema de recomendación.\n", "\n", "" ] }, { "cell_type": "markdown", "id": "ec15f03f", "metadata": {}, "source": [ "## Acciones de incremento de frecuencia de compra" ] }, { "cell_type": "markdown", "id": "0b8db3c1", "metadata": {}, "source": [ "\n", " \n", "El 90% de los clientes sólo hace una compra.\n", " \n", "6. Crear una newsletter periódica en base aun sistema de recomendación para incrementar la frecuencia de visita\n", "7. Campañas promocionales sobre los segmentos top de la cartera de clientes.\n", "\n", "" ] }, { "cell_type": "markdown", "id": "4b558ca3", "metadata": {}, "source": [ "## Acciones de fidelización de clientes" ] }, { "cell_type": "markdown", "id": "e71c51ed", "metadata": {}, "source": [ "\n", " \n", "8. Crear un programa de fidelización sobre los segmentos top de la cartera de clientes.\n", "\n", "" ] }, { "cell_type": "markdown", "id": "1f04e81b", "metadata": {}, "source": [ "# Business Case" ] }, { "cell_type": "markdown", "id": "68f9e5b3", "metadata": {}, "source": [ "\n", " \n", "Es recomendable en este caso, **generar un BUSINESS CASE** para observar:\n", " \n", " 1. las 8 acciones de CRO recomendadas dentro de un plan. \n", " 2. Los Presupuestos, proyecciones y escenarios de rentabilidad.\n", " \n", "" ] }, { "cell_type": "markdown", "id": "b8f44f01", "metadata": {}, "source": [ "" ] }, { "cell_type": "markdown", "id": "7cd14524", "metadata": {}, "source": [ "# Consideraciones finales:" ] }, { "cell_type": "markdown", "id": "e3602195", "metadata": {}, "source": [ " \n", "Este proyecto es experimental, pero se basa en un enfoque bastante realista. Los datos para este proyecto se obtienen de Kaggle, un sitio web que ofrece conjuntos de datos experimentales. Puedes encontrarlos en https://www.kaggle.com/datasets" ] }, { "cell_type": "markdown", "id": "4fcc8e16", "metadata": {}, "source": [ "." ] }, { "cell_type": "markdown", "id": "2c8a3f8b", "metadata": {}, "source": [ "\n" ] }, { "cell_type": "markdown", "id": "49cff690", "metadata": {}, "source": [ "." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.13" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": true, "toc_position": { "height": "calc(100% - 180px)", "left": "10px", "top": "150px", "width": "165px" }, "toc_section_display": true, "toc_window_display": true }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 5 }