Solución Ayudantía n°3_ Visualización de datos.ipynb

{"cells":[{"cell_type":"markdown","metadata":{"id":"WX_1evN-AHPA"},"source":["![logo uai 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)\n","\n","\n","**Fundamentos de ciencias de datos,   Sección 3,   2022-2.**\n","\n","\n","**Profesora:   Carolina Lagos Campos.**\n","\n","\n","**Ayudante:   Bruno Reyes Sánchez.**"]},{"cell_type":"markdown","metadata":{"id":"ldDd_Q-9lD1T"},"source":["## **Tópicos**\n","\n","* Diagrama de flujo\n","\n","\n","* Análisis exploratorio de datos \n","\n","* Barplot\n","\n","* Histograma\n","\n"]},{"cell_type":"markdown","metadata":{"id":"Iks6BcjImCcm"},"source":["### ¿Cómo estructurar un programa en Python?"]},{"cell_type":"markdown","metadata":{"id":"TOWUwlcxmFod"},"source":["Lenguaje de programación de alto nivel debido a su gran utilidad en distintas areas de la informatica, como el desarrollo web o el analisis de datos. Se caracteriza en su legibilidad de código. La codificación se ejecuta directamente, es decir, es un lenguaje interpretado."]},{"cell_type":"markdown","metadata":{"id":"BOChyEfcFMsX"},"source":["Puede adoptar multiples paradigmas, como el imperativo, procedural, orientado a objetos y funcional. Para efectos de este curso, programaremos en imperativo."]},{"cell_type":"markdown","metadata":{"id":"_TeFWJrX9B45"},"source":["En estos paradigmas, por lo general para poder estructurar un codigo coherente, se suele pensar primero en \"cómo\" se hará el mismo, es decir, primero pensaremos sobre que queremos que tenga y haga nuestro codigo. Por ejemplo, en la vida real, si nos detenemos a pensar en alguna acción, como es tomar agua de una botella, ¿que es lo primero que hacemos? Claro, lo primero que se nos ocurriría sería en tomar la botella con la mano, luego abrir su tapa y beber de ella, después cerramos la botella con la tapa y la dejamos en donde estaba.\n","Si analizamos esto a más detalle, estamos viendo una secuencia a seguir, un paso a paso:\n","\n","* 1.- Tomar la botella con la mano\n","* 2.- Abrir la botella\n","* 3.- Beber agua\n","* 4.- Cerrar botella\n","* 5.- Devolver la botella a donde estaba\n","\n","Esto mismo ocurre al momento de programar, primero que todo, antes de llegar y codificar, nos tenemos que detener a ver que queremos realmente de nuestro codigo, ¿queremos ver un gráfico? ¿ que tipo de grafico quiero ver? ¿mis variables de adecuarán bien a este? o también, ¿como puedo yo ver cuanta cantidad de personas hay por region? Estas preguntas están muy cercanas al curso, para hacer más visible esto, veamos dos ejemplos:"]},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":294,"status":"ok","timestamp":1662160240841,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"EDFkSukslHVY","outputId":"d670fc2a-569f-4e76-dadf-7359ca4f691c"},"outputs":[{"name":"stdout","output_type":"stream","text":["No es par\n"]}],"source":["#Ejemplo 1\n","\n","n = 1\n","\n","if(n % 2 == 0):\n","  print(\"Es un número par\")\n","else:\n","  print(\"No es par\")"]},{"cell_type":"markdown","metadata":{"id":"8fFNFnb1-xoq"},"source":["Acá estamos viendo una simple condicional en Python, donde el \"flujo\" del programa se desvía al considerar el modulo de los números, es decir, si el numero que ingresa a la condicional es divisible por dos se considerará par y el programa arrogará el mensaje \"Es un número par\", en caso de que no lo sea, el flujo se desvía fuera de la condicional if, ingresando al else arrogando el mensaje \"No es par\"."]},{"cell_type":"code","execution_count":3,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":6679,"status":"ok","timestamp":1662160247860,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"277YyMgv7bMJ","outputId":"bb58498f-dcdc-4f1a-aaba-8932c0cec75f"},"outputs":[{"name":"stdout","output_type":"stream","text":["Eliga que operacion quiere hacer\n","1.Sumar/ 2.Restar/ 3.Multiplicar/ 4.Dividir\n","Operación inválida\n"]}],"source":["#Ejemplo 2\n","\n","print(\"Eliga que operacion quiere hacer\")\n","print(\"1.Sumar/ 2.Restar/ 3.Multiplicar/ 4.Dividir\")\n","opcion=int(input(\"ingrese su opcion: \"))\n","a=int(input(\"Numero 1: \"))\n","b=int(input(\"Numero 2: \"))\n","\n","if(opcion == 1 ):\n","  print(a + b)\n","elif(opcion == 2 ):\n","  print(a - b)\n","elif(opcion == 3 ):\n","  print(a * b)\n","elif(opcion == 4 ):\n","  if(b==0):\n","    print(\"Operación inválida\")\n","  else:\n","    dividir = a/b\n","    print(dividir)\n","else:\n","  print(\"Opción inválida\")"]},{"cell_type":"markdown","metadata":{"id":"1GsKnYvW_aiO"},"source":["En este segundo ejemplo estamos viendo una simple calculadora de operaciones básicas, la cual, al ingresar la opción que nosotros queramos, nuestro \"flujo\" se desviará tomando una operación en particular."]},{"cell_type":"markdown","metadata":{"id":"13RDhjVZAV8y"},"source":["Retomemos..."]},{"cell_type":"markdown","metadata":{"id":"qG5IbTremJ2A"},"source":["### Analisis exploratorio de datos"]},{"cell_type":"markdown","metadata":{"id":"SeRC1fAeClfc"},"source":["Exploratory Data Analysis (EDA) Analiza los datos para resumir sus características principales, usualmente a través de métodos visuales, para obtener una idea inicial de lo que nos dicen los datos."]},{"cell_type":"markdown","metadata":{"id":"zRTk5adKDFU4"},"source":["Técnicas de EDA \n","\n","* **Resumen de datos** con métricas de tendencia central, métricas de dispersión o variabilidad, y otras.\n","* **Gráficos** observando características de cada variables y relaciones entre variables.\n","* **Detección de outliers** a través de técnicas de visualización y cuantitativas.\n","* **Técnicas cuantitativas** para determinar el comportamiento de cada variable, o el comportamiento entre ellas. Por ejemplo intervalos de confianza, test de hipótesis sobre la media y varianza, test de distribuciones, one-way ANOVA, coeficiente de correlación de Pearson, Kruskal-Wallis."]},{"cell_type":"code","execution_count":5,"metadata":{"id":"zPsLccREmL4L"},"outputs":[],"source":["import pandas as pd\n","import numpy as np"]},{"cell_type":"code","execution_count":7,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":206},"executionInfo":{"elapsed":47,"status":"ok","timestamp":1662160247862,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"luR9xCjVmPdL","outputId":"78e97ee3-fd3d-4a6f-f95a-32fcd8f4cacc"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mpg</th>\n","      <th>cyl</th>\n","      <th>disp</th>\n","      <th>hp</th>\n","      <th>drat</th>\n","      <th>wt</th>\n","      <th>qsec</th>\n","      <th>vs</th>\n","      <th>am</th>\n","      <th>gear</th>\n","      <th>carb</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Mazda RX4</th>\n","      <td>21.0</td>\n","      <td>6</td>\n","      <td>160.0</td>\n","      <td>110</td>\n","      <td>3.90</td>\n","      <td>2.620</td>\n","      <td>16.46</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>Mazda RX4 Wag</th>\n","      <td>21.0</td>\n","      <td>6</td>\n","      <td>160.0</td>\n","      <td>110</td>\n","      <td>3.90</td>\n","      <td>2.875</td>\n","      <td>17.02</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>Datsun 710</th>\n","      <td>22.8</td>\n","      <td>4</td>\n","      <td>108.0</td>\n","      <td>93</td>\n","      <td>3.85</td>\n","      <td>2.320</td>\n","      <td>18.61</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>4</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Hornet 4 Drive</th>\n","      <td>21.4</td>\n","      <td>6</td>\n","      <td>258.0</td>\n","      <td>110</td>\n","      <td>3.08</td>\n","      <td>3.215</td>\n","      <td>19.44</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>Hornet Sportabout</th>\n","      <td>18.7</td>\n","      <td>8</td>\n","      <td>360.0</td>\n","      <td>175</td>\n","      <td>3.15</td>\n","      <td>3.440</td>\n","      <td>17.02</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                    mpg  cyl   disp   hp  drat     wt   qsec  vs  am  gear  \\\n","Mazda RX4          21.0    6  160.0  110  3.90  2.620  16.46   0   1     4   \n","Mazda RX4 Wag      21.0    6  160.0  110  3.90  2.875  17.02   0   1     4   \n","Datsun 710         22.8    4  108.0   93  3.85  2.320  18.61   1   1     4   \n","Hornet 4 Drive     21.4    6  258.0  110  3.08  3.215  19.44   1   0     3   \n","Hornet Sportabout  18.7    8  360.0  175  3.15  3.440  17.02   0   0     3   \n","\n","                   carb  \n","Mazda RX4             4  \n","Mazda RX4 Wag         4  \n","Datsun 710            1  \n","Hornet 4 Drive        1  \n","Hornet Sportabout     2  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["#Importamos statsmodels.api para importar algunos set de datos\n","import statsmodels.api as sm\n","\n","mtcars = sm.datasets.get_rdataset(\"mtcars\", \"datasets\", cache=True).data\n","mtcars.head()"]},{"cell_type":"markdown","metadata":{"id":"tNjOO83t97Og"},"source":["![image.png](data:image/png;base64,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)"]},{"cell_type":"markdown","metadata":{"id":"H52imwCJkBZS"},"source":["**Datos atipicos (outliers) respecto a una columna (númerica).**"]},{"cell_type":"markdown","metadata":{"id":"Hqwj6cmWkd6j"},"source":["Probemos la columna \"drat\"."]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":49},"executionInfo":{"elapsed":23,"status":"ok","timestamp":1662160247863,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"kY3ip164kBGh","outputId":"af587757-4dcb-45da-b4fb-5da2e18c5d09"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mpg</th>\n","      <th>cyl</th>\n","      <th>disp</th>\n","      <th>hp</th>\n","      <th>drat</th>\n","      <th>wt</th>\n","      <th>qsec</th>\n","      <th>vs</th>\n","      <th>am</th>\n","      <th>gear</th>\n","      <th>carb</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Empty DataFrame\n","Columns: [mpg, cyl, disp, hp, drat, wt, qsec, vs, am, gear, carb]\n","Index: []"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["iqr = mtcars[\"drat\"].quantile(q=0.75) - mtcars[\"drat\"].quantile(q=0.25)\n","\n","max = mtcars[\"drat\"].quantile(q=0.75) + 1.5 * iqr\n","min = mtcars[\"drat\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = mtcars[(mtcars[\"drat\"] > max) | (mtcars[\"drat\"] < min)]\n","atipicos"]},{"cell_type":"markdown","metadata":{"id":"97PTzSpOkhLw"},"source":["Ahora probemos con \"qsec\"."]},{"cell_type":"code","execution_count":9,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":81},"executionInfo":{"elapsed":336,"status":"ok","timestamp":1662160248179,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"KgHccFMlkc5Y","outputId":"99a928a5-9ddb-40fc-8567-323f4bdb7ccf"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>mpg</th>\n","      <th>cyl</th>\n","      <th>disp</th>\n","      <th>hp</th>\n","      <th>drat</th>\n","      <th>wt</th>\n","      <th>qsec</th>\n","      <th>vs</th>\n","      <th>am</th>\n","      <th>gear</th>\n","      <th>carb</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Merc 230</th>\n","      <td>22.8</td>\n","      <td>4</td>\n","      <td>140.8</td>\n","      <td>95</td>\n","      <td>3.92</td>\n","      <td>3.15</td>\n","      <td>22.9</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>4</td>\n","      <td>2</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["           mpg  cyl   disp  hp  drat    wt  qsec  vs  am  gear  carb\n","Merc 230  22.8    4  140.8  95  3.92  3.15  22.9   1   0     4     2"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["iqr = mtcars[\"qsec\"].quantile(q=0.75) - mtcars[\"qsec\"].quantile(q=0.25)\n","\n","max = mtcars[\"qsec\"].quantile(q=0.75) + 1.5 * iqr\n","min = mtcars[\"qsec\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = mtcars[(mtcars[\"qsec\"] > max) | (mtcars[\"qsec\"] < min)]\n","atipicos"]},{"cell_type":"markdown","metadata":{"id":"emZRFHwik36_"},"source":["Otra forma de ver esto de forma visual es ver su Boxplot asociado."]},{"cell_type":"code","execution_count":18,"metadata":{"id":"yynU3mp6lmJK"},"outputs":[],"source":["## Importante importar nuestra libreria a utilizar\n","\n","from plotnine import *"]},{"cell_type":"code","execution_count":25,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":458},"executionInfo":{"elapsed":704,"status":"ok","timestamp":1662160248878,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"yAoPg920k-r3","outputId":"23f12a84-8b3f-42b3-fa14-9c6c799d8166"},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAgMAAAGuCAYAAAANsQX6AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAABGfUlEQVR4nO3de5BkZX038G/f7/fpnisLLMu6wLrAIlpgKBKiiKEIaERiAolSllqhtGJSICaKmFQhkcQqL6UVTYwmWl7KKGhMeK2IQARERFyQ28ICuzvXnr7f7+f94+E5fXp3ps+Z7d6ePjPfT9XUzs6c6X76Oec8z+88V4uiKAqIiIho27JudgKIiIhoczEYICIi2uYYDBAREW1zDAaIiIi2OQYDRERE25x9sxNgFoqioNlsot1uo9Pp9PzOarXC6XTCZrNtUuq2HkVR0Ol00G63j8tzq9UKq9UKm80Gm80Gi8WyiSndGhRFQavV6slrOdFIm9dWq5X5PYBOp6OWI9qJXDKPHQ4H8/cEtdttNJtNdDqd4/LWYrHAZrPBbrczf9expYOBWq2GZDKJTCaDZDKJbDaLXC6HdDqNVCqFTCaDQqGAcrmMSqWCQqGAUqmEer2ORqOBZrOJVquFRqOBRqOh+34WiwV2ux0ulwsejwd+vx9erxcejwehUAiBQABerxd+vx/BYBDhcBiBQACRSATT09OYmZnB5OQkwuGw6QILRVFQq9WQyWSQzWZRKpVQKpVQKBSwsrKCTCaDdDqNlZUVFItF1Go1VCoV5PN5FItF1Ot1NJtN9aterx8XdK3FYrHA7XareevxeNT/RyIR9Wc+nw9+vx8+nw9utxuhUAiTk5OIRqMIBAKIxWKYnJyE3W6uW0IGqZVKBaVSCalUCvPz81haWsLy8jJSqZR6jTcaDdTrdeTzeRQKBRQKBfVc1Ot1GJ1lLCstj8eDYDAIv98Pl8sFn8+HSCSCRCKBWCyGQCCg5nsoFEI0GkU0GkU8HkcikYDT6TzJuTNc7XYbyWQS8/PzWF5eRjabRaFQQDabRTKZRDKZRDqdRqlUQqVSQa1WQ7VaRa1WU/O42Wzqvo/NZoPb7YbL5YLL5YLb7YbX60UwGEQgEEAgEEA4HIbX61W/n5iYUMuQ2dlZRKNR01R6iqKgVCqhWCz2fKVSKayuriKZTCKXy6nleC6XQz6fV/O5XC6jXq8bfj8ZFDidTjVvPR6Peg2Hw2H1Oo1Go2q+e71eeL1e+Hw+TExMIJFIIBgMwuPxjHVep9Np/OIXv8CVV17Z9ziL3joDv/zlL/He974XDocDTqcTLpdLzaxwOIzJyUmEQiGEQiGEw2G4XC44nU54PB54vV44nU44HA717x0OB6xW0Tsho+RWq4VWq4V6va5WxOVyWS3AtDdTvV5Xb7J0Oo1cLqdWKisrK8hms6hUKqhWqygUCsPL0RFzOp1q4aotRLUBhQwyZKXn9/vVAtjtdsPtdsPhcKz5VNdut9Ugp91uo9VqodlsqvlerVbVIKlcLqNYLKJSqaiVerFYVG/OfD6PdDptKGAad4FAAPF4HBMTE4hEImrlFolE4PF41GBDFiJ+v18N+uSXy+VS812b59rWDhnwyApCXuPy2pcVTaVSQTqdRiaTQalUUvO/VCqpwW65XN7kXDsxfr9fLUei0ah6rYfDYTXIkNeyDOhCoZB67csC3G63q0988gsQ+a0oinp9y2u80WiolbR8CJAVej6fRz6fRyqVUgMpWfmkUim0Wq1NzjVjHA4HEokEZmdnkUgkMDk5qV7DLpfruGDZ4/HA6XSq17Ldblevc3kdA90yWz4sacsMGZDK77VlSLVaRbFYRDabRTabxerqKlKplPrQYJZ8XYvL5cLU1JQaHMggQgZuwWBQDYrD4TBCoRB8Ph+cTqcalDgcDtjt9p4yw2KxoNPpqGXGWmWHrOdkUN9oNJDL5bC4uIhUKoWlpSX89Kc/xYUXXogHH3yw7+fQDQYqlQoikYhpC3qHw6FWpLFYDMFgEBMTE5iYmEA0GlVPjDbydjqdPSdIBkGyK8Bisag3hyzgtTeHDGBkBVqtVpHL5dRIVj4xyye0TCaDxcVFLC4uIpfLbW6GDchmsyESiaiVpMxveYNMTk4iGAyqlalsMZGFujbodDqdx3UHHNt9ICtSbV7XajW1ENcWSrKgqtVqaoGUyWRQLBaRTqfRbrc3O/sGYrfbEYvF1KfDyclJxOPxnsJHVgSywg0EAj2BoyyQjg1gZBeCNt9lQSRb00qlErLZrBqUF4tFtaKQLXKZTAarq6umzWur1Yrp6WlMT08jEomowbhs7ZiYmEAgEFCDRln5yjw+thzRXtMyj7UPQPJ7GbQUi0W13JA/y+VySCaTWF5exsLCAtLp9GZn0wmx2WzqA43f70csFkMikVDL7nA4rAbmMiiUT+qyYpUPm7JClXkrv7QPn9q8rVQqaDQa6jUsg8NcLqfmuzyuXC6rrZ1mWbPv/PPPx69//eu+x+i2iXq9XsTjcSwsLOBv//ZvsW/fPmQyGfXmTiaTasSXz+fVJ/tqtapmsKwk+2Wc1WrtuVl8Pl9PAaa9mWRFIp8ofD6fGpHFYjE12o3FYqZqLgOAer2uXnjlclnN69XVVfWJXAYUMsiQlZ5sapMVXq1W021qlxWtvJFkvssnMXmzyRaJcDiMeDyudnPIm1M+1fl8PjVQMpNWq6U2RcqnQtnlsbKygnw+j2q12tPsK/NcBnnynBlpCgagBp2yudLtdve0CMknikgkglgsBr/fr34vK5xoNIpEIqE+2ZnhWm+32+qTdi6XUwvfTCajXu/FYrEneJMBnSyY5bnYyEOKxWJRg01ZWcuHgFAopF7LsiyZmJhQg1WZ79PT02PflVSr1bC6uoqlpSUsLS1hZWUFy8vLKBQKqFaraldRPp9Xg2WZl/Jali2165UfMi+1ZYZsKZPfa8sQj8ejBqEyLxOJhNqSGYlE4PP5THH9SrJ7I51OY2FhQb12U6mUGgzLL1k2y0CuVCqh0WioQclGWkYcDofahSTzNRgMqj8LBoOYmZlBPB7Hk08+ie9973uGulF0WwYAIBQKoVAo4ODBgzjzzDMNJ1pLDlBqtVpqUCAvKA4CO3mOHYQn895ms6lP3jRc2qc82VQNQH0S1DZr02C03QDHDnyU+W21Wnu6J8kYOR5FW1HJMnvcAyKzkdexLKc7nU7P9StbSDd6Df/iF7/ARRddhNNOOw0vv/xy32N1z2in00GxWAQg+lNPlDaSpNGRFxLzfXTk7BI6+bTBFQ2XxWJRW67o5DpZ17HP5wMAQ+OKdMOMXC6nRtrRaHTApBEREdEoyDo7m83qjtPRDQay2SwAqP33RERENP4mJycBiDFRegNLdYMB+QJsFSAiIjIPOcMIAJLJZN9jDXUTAEAkEhk8ZURERDQyU1NTAIDl5eW+x+kGA3LhnmAwOIRkERER0ajMzMwAAObn5/sepxsMyGgikUgMIVlEREQ0KnLcQCqV6nuc4QGEExMTQ0gWERERjUo4HAbQrcvXoxsMyDUG/H7/4KkiIiKikZHj/fSWutcNBkqlEgAGA0RERGYjg4FMJtP3ON3ljmQ0MfQBhIoC5PNAtQq4XEA4DFit4v/5vPg+HAbGeW2DTgfIZoFGA/B6gWAQaLfFz9ptwO8XXydCUYBcDqjVALdb5MVmLF9bKokvmw2IRAAjK2QVCkC5LM5dJCLO5VqvWygAxWI374LB7mdMJoHFRXE9TE2J1wmFjOVBpSJe22oVf+dwAK0WkEoB6bTIz0QCWG9FzVpNXIOAyHeXq//76eVRuw1kMuL9bTbx3kY/i6S9X4xcD+22uH6aTZG/gYD47EtLIg2nnLL+51/P4qL4DC4XcPrpo7k3i0VxLkslcS8FAuI6GZZOR+RTvd69Di0Wkdfz8yLfZ2aAflOrFUWksVLpLcuIjNBegx7PxssGHbLulq3869Et2eVsAtnvMBTNJvDUU8DCQvdnk5OiIH3pJZEpAODzAfv2AfH48N57WCoV4MkngdVV8X+rVZzERkMUXBaL+NmZZ4qvjZzcel3kz9JS92ezs8DevaMLjhQFOHgQePFFUbEAopA791zxOdfSbgNPPw0cOSL+XlHEudu3T5xL+bovvCA+36FDohD1+YCdO4GzzgL27AF+/nPgvvvE9VEqiQL6oouA170OOOccUbmvl+aXXwaef15cY4CoPE47TfzsN7/pVtqzs8Ab3yjeU1twz8+LzyCvQY9HpP/VQTgbzqNyGfjlL4Ff/aob5CYS4vPs27f+Z9FqNIDf/rb3fpmaEn+/VqBSLgMHDoiK22LpBpZHjohAx2IR99rll4v81Ls2Wy3g3nuBxx8X+aoo4v3f9jZgbk4//Sei0xHn7OmnxXVSLIpg4IwzxDk76yxxHgdRrYp7WM6/tljEddFqAfff3w0I/X7g0kuB17/++PdstUQajx4V+QKI87tvn7h2iPqp1cQ1uLLS/dnsLPDa1xorGwzwvHodVqvVvsfpBgOVSgWA2L1waA4dEjfP9LS4uTodUUFkMqIglYMVczngiSeASy4Zvxvr2WdFYTs1JQr4eh342c/EU8RrXysKlnodeO45UZm9OtfTkIMHxVPY9LR47XZbVFIejygER2F5WRTGExOiwlEU8XmffBK4+OK1C+KjR0VlPDUlno4VRbzO008DF14o8mR5WeRdPi8Cm927xfeZjLgGFheBhx4S10QkIiry1VURPAQC4ult9+6105xOi/eKRsXTMyAK+h/8QBTaHo+40ZpN8Vkee0xU3rOz4th8Xnw+v797DRYKIoi45BLx3kby6MABEWhYrSI9Tz0l8mv3bvG5kklRsQaDIlDUc+iQOP9TU937ZWlJvOe+fb3HKooIHLJZcS1aLOKc3HuveK89e8QxS0vA//t/ouLSmyn05JPAI48Ap54q8qDTAV55BfjhD4H3vc9Ya9FGLS2JvM1mxbmcnhbfy+skEBDpGcRzz4lzIe/hVkuc62eeEcHfa14j8i+VEsHp5KQIWrUOHxZ5Ia/5Tqd7je/fP1j6aOt7/nlxvWjL+qNHxX22Z89Q3sL9allYq9X6HqfbljX0YKDVEh82Gu1WKFaruOkymd5KJhwWkZNOX8fIlcviBMbj3afKarUbAMgnBJdLfOnM7+xRr4sKcWKi+9o2m8ivo0e7T7wn29GjohCWT54Wi0hTNiuCtGMpiigYg8Fu5WCxiDxaXRVP5ED36bZY7HYhhMMi/+x2EQhYLOJzBgLi95OT4u9rNZGu9dbYXloSryEDAUAEHPPz4vUjEfHaTqe42Wo18bQsra6K15atGID4PPW6CDSM5lE+L/KoVOqmNxoVn8VuF60G8r111gtHs7n2/TIxIT7vsVuTFoui8orHu60CL78s0im3o7VYunl66FD/9wdEQB4MdoMhq1UEaUtL4pyfDEeOiHSWy93rJBIRLXJWa+95OxGVikh/ItG9z+x2EfwlkyJ/ZYtJLCby7plnel+j0xGfPxzuXvOy5WdpSaSdaD21mrhOtPWItqzfwLbG/cjxfnrdBLrBgNwH2aXXb2pUpyMKwPWeJo7dP9ti0S8wR63dFoWsNnBpt8X/5e8ku100827ktVut4/PHbhe/G1VeNBrHp8FiWf98KIqouNZKtzzn8nUtFvEzeQPIQtdiEZW2jJC1+Ssrtlbr+GukX5rb7ePfD+g+YWvPTaOxdovHep95vTyS7yvPpXw/7XvL/Frvs0jr3S92u3jtY9PVbou/ke+nPS+tVvfatNm6Y3T0VCrHd09ZreK1NnJtb0Sj0X0Ped60/zYavffZRh2bT1Kn073OJYtF5N+xT1adztr3qry2xq3covEiy4j1ynq9ssGg0KtdlrLLfz2GZxMMsn1xD6dTRNqyP06SN5y2n0QWpMN672Hx+URTsjZzfT5RWHi9vQVMqbR2f/N6PB7xpHFs/uTzImIcVlCmZ2pKPGVqVavi/Kx1PuQT0bEXnBwgKAdSTk52m+xfbXVCvS5et9kUfdiNhniSlb+XAYLDIZ7Y1utLi8fF32grCYdDnBu3u7fik59Fe26i0eMraFmBrvWZ18qjWq2bRz5ft0VAtowA4onR4RDp1esXdDrFa6x1PYTDx3ef+f0iv+X7Wa2iCbJYFOmRlZz8vZGm9t27j28ZKRTEe09P6//9iZiaEudCex3IvG21xO8HGWQlB1Uem69er3hPbZBTr4uv00/vPdZuF+dwrXMTDPa2MBEdy+MR18la108sNrTxYfJBXq+bQLez76SsM7Brl2huXloSGVKriULsggtE87vPJwrkalUMGBrm4MVhsNlEf87jj4u0u1wiraefLr5PpURBUS6Lkyr7pI2wWERf5a9+JfLC7RbvYbdvfCDiIGZnxfmZnxfnptkUBeTeveuP3zj9dNHUvrgoClXZZXLeed3od3ZW/L5QEP8mk91m63AYeMMbxN89+6yosBYXReH/mteIYOOMM9ZP89SUeJ2FBZHmVku81u/8jmhWXlzsViYOh6gId+zo/n08LgbEzc/3XoOnnbb2aPK5Of08OussMTjo0KHuLBOrVYwr6fdZJItFnPfHHuu9Hmy2bp+2lsMhfn7gQPeJ3uMRn7NQEHnTbovXeN3rxKwCPRdeKPo2n3lGNNXLyvHNbz559+Ypp4h8k+WEoojPOjUlulkGHS+gvYdlvlar4px6vWLcjtcrzlWx2B3ceqydO7uzNGRZBoiybNABjrS1Wa3imtKW9dWquGd37Rra28hgoH5sl+IxLIrSv60tHA4jn8/jueeew2te85qhJRDFoihE83kRoc/OigJ4aUlkjNUqfjY5Ob7TdDIZUbiWy6KymJ4WJ3NxURQKiYQYxKXtwzZKTm0qFkXhNzs73ClVRtRq3Qrb7RafRfZFr6dcFnmSyYjCdG7u+IpUvu4LL3SfWHfuFMf6fKLSevLJbrA1Nwecf76x6XCNhriGVlZEADIzI85DKiUG883Pi3SddZYIXo4NbFotcf0tLorrbmZGXIPrFexG8iidFhXp4cPdG3337o1NO5UVubxf5ubWn9Uh33NhQQQEsZg49sUXRSXncnVH5BttacpkxOC6Q4fE+5977skfzCrvpRdf7H7uXbvEvTCsMUzZrLgmymUR2MzNievmt78VAamiiHP12teu/6RfKonXyOXEMXNzImgiMiKXE/eqLOvn5obaGv7KK6/g9NNPh9vt7jujQDcY8Pl8qFQqOHToEHYeO5KWiIiIxtbCwgLm5uZgtVrR7jOOZfQDCImIiGgkHK+OS+p0Ouj0GZTYNxhot9tqJMFggIiIyFycmoGIzT5T0/sGAy3NPEcbB8MQERGZirbuPuFuAm2TgnVcB/ERERHRmiwGZ6D1reG1YwsZDBAREZmLzhwBleEa3mh0QURERONBGwz0q8cNBwP9RiESERHR+BlKMGB04AERERGNH+1EAHufHUb7BgPaKQmNk7UhCREREZ0U2umEJxwMWCwWNSDQW9eYiIiIxosMBhw6m6LpjhkwuskBERERjZehBQO+VzfnKJfLQ0gWERERjUrl1S3AvTqbe+kGA6FXd0bLH7vnMhEREY01+SDvW2/XzVfpBgORV7fizGQyQ0gWERERjUqxWAQABHS2RTYcDLBlgIiIyFwKhQIAIBgM9j2OYwaIiIi2qFKpBADw+/19j9MNBsLhMAAgnU4PnioiIiIaGVl3R6PRvsfpBgOJRAIAsLq6OoRkERER0ajILn75YL8ew2MGcrncwIkiIiKi0ZF198BjBjibgIiIyJzkAMKBWwYmJiYAAKlUavBUERER0cgMbZ0BGU3I6IKIiIjMQa4zMLSphXJ6AhEREZmD7OIfuJtArlrEYICIiMhcZDAw8NRC2bRQKBSgKMoQkkZERESjIB/kB16OWL5Ap9NBtVodQtKIiIhoFIa2AqHP54PVKg7j/gRERETmMbQtjC0WC2KxGABgZWVlCEkjIiKik63ZbKLdbgMAPB5P32N1gwEA2LFjBwDgyJEjAyaNiIiIRkE78H/gbgIAmJqaAsD9CYiIiMwim80CEF0ETqez77GGggEZUXAbYyIiInOQiwXqLTgEGAwG5GIF3J+AiIjIHOTqg3rTCgGDwYBcrEA2ORAREdF4M7oUMWAwGJBTEuQUBSIiIhpvcgCh3iZFgMFgIBQKAejui0xERETjzeiOhQC7CYiIiLakoQcD7CYgIiIyF7kcgFw4sB9DwYCMKji1kIiIyByWlpYAANPT07rHGgoGtDsXEhER0fiTywEMrWVAzlHULm1IRERE40u25ustRQwYDAZcLhcAoFarDZAsIiIiGpWhDyB0OBwAxA5IRERENP7y+TyA7vIA/WyoZaBer0NRlAGSRkRERKMgu/aH1k2g3e2o1WqdYLKIiIhoVIbeTWC1dg/rdDonmCwiIiIaFbk2kFwrqB9DwYDFYlG/ZzcBERHR+Gs0GgB6W/fXw5YBIiKiLUZRFNTrdQBDDAa0LQNEREQ03rQP7nJGYD+GggF2DRAREZlHu91Wv7fZbLrHGwoGtBGGtsuAiIiIxo82GDBSbzMYICIi2mK09fbQWgbkiETAWN8DERERjQcj4/4MBQPaEYkcTEhERLS1GAoG5J4EbBUgIiIaf9oHdyNLAjAYICIi2mJOSjAguwncbvcJJouIiIhGZaOLBRoKBgqFAgAgEAicYLKIiIhoVOx2u/q9dprhejYUDASDwRNMFhEREY2K1WpVuwpkV3/f4428qOwmcLlcAySNiIiIRsFisahd+7VaTfd4BgNERERbkKyzhxYMVKtVAIDH4xkgWURERDQqsmVAPtD3w2CAiIhoC/L5fACASqWieyyDASIioi3I7/cDAIrFou6xhoKBfD4PAAiFQgMki4iIiEZFBgOlUkn3WEPBwPLyMgAgHo8PkCwiIiIaFdlNUC6XdY81FAxks1kAwMTExADJIiIiolGRawMNrZsglUoBAKLR6ADJIiIiolGRqwYPLRhYWFgAAMzOzg6QLCIiIhoVOc5Ptu73w24CIiKiLSgcDgPoTgLox1AwIEciysEIRERENN5k1346ndY9VjcYqFQq6upFkUhkwKQRERHRKMg6O5fL6R6rGwzIwYNOp5NbGBMREZnEUKcWLi4uAgAmJyfV7RCJiIhovMluAvlQ349uMJDJZABwwSEiIiIzkfX2UMYMyOYFDh4kIiIyj6GuMyBfhOMFiIiIzCMWiwEAms2m7loDbBkgIiLagrxer7rw0MrKSt9jdYMBucaA3P2IiIiIzEFOL2TLABER0TYlWwYKhULf4xgMEBERbVGyVV+28q9HNxioVqsAAI/HM4RkERER0ajIB/lKpdL3ON1gQC5jKPdFJiIiInMwOr3QcDAgVzIiIiIic5AtA+wmICIi2qbcbjcAoFar9T2OwQAREdEWJQcQ6m1WxNkEREREW9TQxgxwOWIiIiJzknX3wOsMyBfgbAIiIiJz4aJDRERE25x8kJczA9fTNxhQFAWtVgsA4HQ6h5MyIiIiGolwOAxgwJYBGQgAgN1uHzxVRERENDJyJuBAKxBqgwGbzTaEZBEREdGoyC7+gaYWKorSPdCqO7yAiIiIxojX6wUwhL0J1AMZDBAREZmKHO9Xr9f7Hme4hte2EhAREdH4c7lcAAYMBrStAe12ewjJIiIiolFxOBwAgE6ng06ns+5xfYMB+SIA0Gw2h5Q0IiIiGgXtTEDtpIBj9Q0GbDabGhDIDYuIiIjIHLTBQL8Wft0xA0a3PyQiIqLxYrFY1O/7jf3TDQZkywC7CYiIiMyFwQAREdE2pw0G+tENBowuWEBERETjxeiyALrBgN/vBwCUSqXBUkREREQjpQ0G+rUS6AYDgUAAAFAsFoeQLCIiIhoV7doCAwUD0WgUAJBOp4eQLCIiIhoVbTDQb8NB3WAgEokAAHK53OCpIiIiopHRBgP99hjiAEIiIqItSrvq4EAtA1x0iIiIyJzksgB2u32wMQNsGSAiIjInuVuh3L1wPbrBQDAYBAAUCoUhJIuIiIhGRbbqy1b+9XBqIRER0RY1tGBAdhOUy+UhJIuIiIhGRdbdPp+v73G6wUAsFgMApFKpISSLiIiIRkV28ctW/vUYXnSI6wwQERGZi3yQn5iY6HscZxMQERFtUdlsFkD3wX493KiIiIhoi1pdXQUwhJYBbTBgdCtEIiIi2nwyGEgkEn2PM7w3QafTUZsbiIiIaPzl83kAQDgc7nucbjDg8XjU5oWjR48OnjIiIiIaiUwmA2AIwQAATE5OAuA2xkRERGYipxYOJRiQ8xO5JDEREZF5DLVlQI4b4FoDRERE5iHr7YGnFgLdzYrkQAQiIiIab81mU20ZGEowEAqFADAYICIiMouVlRUoigK73T741EKg2zLAnQuJiIjMQXYRhMNhWK39q/sNBQMcQEhERGQO8gFeb5MigMEAERHRlmR0wSFgg8EAVyAkIiIyB9lNIMf99bOhYICbFREREZnD0LsJnE4nAKDRaAyQLCIiIhoVGQzIDQf7MRQMcBtjIiIicxn6mAGfzwcAKJfLJ54qIiIiGhl2ExAREW1zsjV/aMGAy+UCANTr9QGSRURERKNidJMiwGAwYLfbAQCtVuvEU0VEREQjI8cMyM0G+zEUDDgcDgBi0wMiIiIaf7KbYGizCbTdBIqiDJA0IiIiGoVKpQIA8Hg8usduKBhQFIWtA0RERCYggwGv16t77IbGDAAcN0BERGQGcjkAuTxAP4aCAe3Wh+wmICIiGn9yOQC5PEA/hoIBIiIiMpdqtQpgiGMGtK0BFovlBJNFREREo1Kr1QAAbrdb91gGA0RERFuMoijodDoAAJvNpnu8oWCg3W53/8DKngUiIqJxpq23T0owoJ1ZQERERONHO/PPSL1tKBjQvihbBoiIiMbbSWkZ0E5P4JgBIiIi8zDyEG+ozX8jCxcQbVQul1NHvdL4c7vdhnZBI6LxYGR9IEPBgNzsgMEADVsul8Pll1+ujnql8We1WvGTn/yEAQHRGNO24g8tGKjX6wC6exQQDUutVkOn08FXv/pVJBKJzU5OX8888wxuueUWAMCnP/1pnH322ZucotFLJpO48cYb2ZJDNOa0wYCRhy1DwYAcM8BggE6WRCKBqampzU5GX8vLy+r30Wh07NNLRNuXdpyAkWDA0ADCjaxiRERERJtLO51QO7NgPQwGiIiIthibzaa2DsjW/X4MBQNyswMGA0RERObgcDgAAM1mU/dYQ8EABxASERGZi6yzZR3ez4a6CYxsg0hERESbT7bmG5n9s6FuAq/XO0CyiIiIaFScTieAIY4Z4KJDRERE5jL0YKBYLAIAAoHAAMkiIiKiUTlp3QQcM0BERGQOwWAQQPeBvh8GA0RERFuQbM1nMEBERLRNyTq7UqnoHssxA0RERFuQnAE4tGCgUCgAAEKh0ADJIiIiolGRAwhl634/GwoG2DJARERkDrJlYGjBQC6XAwCEw+ETThQRERGNjmzNl3V4PxtadIgtA0REROYQiUQAANlsVvdY3WCg3W6zZYCIiMhkYrEYAGB1dVX3WN1goFQqod1u97wwERERjbd4PA5gSC0DqVQKgJivKNc5JiIiovEm9xMql8u6xxoOBhKJBCwWy4BJIyIiolGQ4/zy+bzusbrBgBwvwDUGiIiIzEOO8xtKMJDJZAAA0Wh0sFQRERHRyMiNikqlEjqdTt9jGQwQERFtQX6/HwCgKIruksS6wUAymQQATExMDCFpRERENAoejwdWq6jm9XYu1A0GlpaWAAAzMzNDSBoRERGNgtVqRSKRAAAsLi72P1bvxeRsAjlfkYiIiMxhdnYWwBCCATk/kUsRExERmYt8kE+n032P0w0G5JQEBgNERETmIuvugccMyO2LuS8BERGRucjphbIuX4/hbgK5LzIRERGZg9GFh3SDgWq1CkBMUSAiIiLzkC0DAwcDtVoNAOB2u4eQLCIiIhqVSCQCoLuA4HoYDBAREW1RQ+kmUBQFzWYTALh9MRERkcnILn7Z5b+evsFAq9VSv3c4HENIFhEREY2K3J+gVCr1Pa5vMNBut9XvbTbbEJJFREREozKUYEC75aHc7ICIiIjMwefzAeguE7Ae3TED6oEMBoiIiExlKGMGiIiIyLzkeD85GWA9fYMBbWuAdvwAERERjT8GA0RERNvcUIIB7XRC7TRDIiIiGn92ux2AGAOonRRwLN2WAbnYkN7gAyIiIhovMhgA+j/U6w4glMsQy2WJiYiIyBy0awT16+7XDQZcLhcAoF6vDyFZRERENCrasX8n3E0AAF6vFwBQqVSGkCwiIiIaN4aDAY4ZICIiMhft4oEWi2Xd43SDAbmUod66xkRERDRehhYMBAIBAECxWBxCsoiIiGhUtOMEBgoGjO54REREROPF6IaDusFAMBgEwJYBIiIis9GuLaBdc+BYhoOBXC43eKqIiIhoZOQaQU6nc7CWgVgsBgBIpVJDShoRERGNgpwJKLcyXo9uMBCNRgGwZYCIiMhshhYMcJ0BIiIicyqXywC6ywSsx/DUwkKhMIRkERER0ajIwf+yLl8P1xkgIiLaomTdLScDrIe7FhIREW1Rco2ggbsJ5KADjhkgIiIyl6GNGQiFQgA4m4CIiMhs8vk8gCGMGQiHwwA4gJCIiMhs5JgB+WC/HsMtA41GQ21uICIiovEnxwzIfYbWY2g2gXyR+fn5ISSNiIiIRmFoYwYsFgvm5uYAAIuLi0NIGhEREY2CHDMw8NRCoLskcSaTGTBZRERENCorKysAgEQi0fc4Q8GA7CbgmAEiIiLzWFpaAgBMT0/3Pc5QMCBnFLBlgIiIyDzS6TQAIB6P9z3OUDAQiUQAdPseiIiIaLwpijK8AYQAlyQmIiIym2w2i3a7DaA79m89hoIBLklMRERkLgsLCwBEICDr8fUYCgbkwkPZbHbApBEREdEoyJkEk5OTusdyzAAREdEWJOtsvS4CgN0EREREW5LcYFBvwSHAYDAgRyFynQEiIiJzkBsMytb9fhgMEBERbUFykyK9aYUAuwmIiIi2JLlQoFw4sB8GA0RERFvQ6uoqAP19CQCDwYDX6wUAVCqVAZJFREREoyLHDMjlAfphywAREdEWJB/g5QN9P4aCAafTCQBoNBoDJIuIiIhGRQ4glDsP92MoGHA4HACAVqsFRVEGSBoRERGNgtxPSO4v1M+GggFFUdBqtQZIGhEREY2C0R0LgQ0GAwCGHgzk83ncfvvtXOqYiEyNZRmNm6F3E1it3cM6nc4JJmtt+Xwen/zkJ3kDEZGpsSyjcSMH/evtWAgYDAaIiIjIXIY+m0DbGqBtJSAiIqLx02630Ww2ARhrGbAbfVHJZrOdYNKIiIhIq9Fo4O6778bCwgJmZ2dxzTXXqNP5B6Ed32e361f1DAaIiIg2QaPRwHvf+14cPHhQ/dmPf/xjfOUrXxk4INhoi76hYKBerwMQgcDJCgaefPJJJJPJk/LaNL7S6TQajQbm5+fHflGrpaUlNY1LS0uIRqObnKLRSyaTaDQaOHDgAObn5zc7OWNleXl5s5NAJnP33Xfj4MGDPU/xBw8exD333INrr712oNc+KcHARuYqnqirrrrqpL02jb8LL7xws5OwIX/wB3+w2UnYVFdcccVmJ4HI9BYWFo77maIoa/78ZDMUDGxkesKJ+tGPfoSpqamT9vo0ntLpNG6++WZ89atfNbSz1mZ6+umn8ZGPfAQA8A//8A8455xzNjlFo5dMJnHjjTfirrvuQiwW2+zkjJXl5WU+1NCGzM7OHvczi8Wy5s83aqNLAhgKBuT0hJPZMrBv3z7s2LHjpL0+jafl5WU4nU7Mzc2NfTCYyWTUfrzp6elteb06nU44nU6ce+65Y3++Ru3IkSObnQQymWuuuQb/9V//hRdeeAGKosBisWD37t24+uqrB35t7aBBI4sFGgoGcrkcAGPbIBIREZE+p9OJf/mXf8E999yjzia4+uqrhzKbwG63w2KxQFEUddxf3+ONvOhGljQkIiIiY5xO58CDBddisVjgcDjQaDTU9Qb6MbSCULFYBMBggIiIyCzkOD857q8fQ8FAoVAAAITD4RNP1TpCoRA+8YlPsAuCiEyNZRmNG7kMsRz314+hboJsNgsACAaDAyRrbaFQCLfffvvQX5eIaJRYltG4cblcAGBozMCmtwwQERHR8G2kZcBQMCBbBhgMEBERmUMgEADQHffXj6FgIJ1OAwAXGSEiIjKJobcMpFIpAAwGiIiIzEIuFCi3FOhnQy0D8Xh8gGQRERHRqMjlAORaQf1saADhyZhNQERERMMnW/NXV1d1j9UNBjqdjtoysB23bCUiIjIj2Zov6/B+dIOBSqWibnLAMQNERETmMNQxA7KvwWKxwO12D5g0IiIiGgVZZ9dqNd1jdYOBZDIJQLQKaPdHJiIiovElBxAOpWVgZWUFgNi/nYiIiMxhqIsO5XI5AEAkEhksVURERDQycszAUKYWyuYF+aJEREQ0/uSgf9nd349uMCDXGJDNDURERDT+TjnlFADA8vKyOitwPYaDAS44REREZB5ynYFOp4NMJtP3WN1goFqtAgA8Hs8QkkZERESjYLPZ1Ad5ufvwenSDATkKkd0ERERE5iJXDh64ZYDdBEREROYUDocBAPl8vu9x7CYgIiLaokKhEIDuMgHr0Q0GZDTBlgEiIiJzmZiYAKC/WZHhMQMMBoiIiMxFrjUwcDBQqVQAAF6vdwjJIiIiolExuiQxgwEiIqItyuVyAQDq9Xrf4xgMEBERbVFy8L+cDLAe3WBAbnAgt0IkIiIic5B1t95mRZxaSEREtEXJHYcHWnRIURS1n8Htdg8paURERDQKcjbBQMFAs9lUv3c6nUNIFhEREY3KUGYTaLc8tNlsQ0gWERERjcpQggFFUdTvGQwQERGZy9DWGSAiIiJzkuP9BppaaLFY1O87nc4QkkVERESjIsf7tVqtntb+Y/UNBrRdA+12e0hJIyIiolGw2+3q99pxgMfqGwwYfREiIiIaP9qH+n4t/IZbBhgMEBERmYvV2q3m+7Xw6w4glK0DDAaIiIjMRRsMnPCYAcD4JgdERERkTgwGiIiItihta4B2huCxdIMBo3shExER0XjRDhrUdhkciy0DREREW5TRbQV0gwG5elGtVhtCsoiIiGhUGo0GANFFoF0u4Fi6wYDX6wUAVCqVISWNiIiIRkG26ns8nsHGDMhNDkql0pCSRkRERKMgW/VlK/96dIMBn88HgMEAERGR2TSbTQCAw+Hoe5zhlgG97Q+JiIhovAytZcDv9wNgywAREZHZlMtlAN1W/vVwNgEREdEWpR1A2A8XHSIiItqiCoUCgG4r/3o4tZCIiGiLymazAIBYLNb3ON1gIBKJAABSqdQQkkVERESjIgf/B4PBvsfpBgNTU1MAgJWVlSEki4iIiEZFturLVv716AYD4XAYQLffgYiIiMxBdhOEQqG+x3HRISIioi1KBgPRaLTvcbrBQCKRACC6CbT7IhMREdF4kw/ycgHB9RgOBqrVKrcxJiIiMhEZDAxtaiHA6YVERERmIoOBgVcgtNls6sJDcllDIiIiGn9D25sAAOLxOABgaWlpwGQRERHRqAytmwAAZmZmAHCtASIiIrNQFAXLy8sAuuP/1mMoGOBaA0REROZSr9fVloHJycm+xxoKBuRuRxxASEREZA7a9YGG0k3AzYqIiIjMJZ1OAxD7Ethstr7HGgoG5AYH+Xx+wKQRERHRKMgNBuUkgH4MBQMTExM9L0xERETjzeiOhcAGpxaurq4OkCwiIiIaFaMLDgEGgwG52xFnExAREZmD7NofWsuAfKFcLnfiqSIiIqKRkQMIY7GY7rEbahmQ/Q9EREQ03uRCgXoLDgGcWkhERLQlya59uXBgPxtadIhbGBMREZlDvV4HoL9JEWAwGHA6nQCARqMxQLKIiIhoVGRrvmzd78dQMCC3MJZRBhEREY23TCYDoDvur58NdxMoijJA0oiIiGgUhj5mQHYTdDoddDqdE08ZERERjYScARgIBHSPNRQMaDc4aLVaJ5gsIiIiGhU56H9oAwi1wUC73T7BZBEREdGoNJtNAIDD4dA91lAwYLV2D+OYASIiovEnB/3LSQD9GAoGiIiIyFyGvs6AdtCgtpWAiIiIxtPQWwa04wS04weIiIho/HQ6HbXuljMC+zEUDMhBCABgt9tPMGlEREQ0Cht9iDcUDMjpCS6Xi90EREREY26jwYChx/xarQbA2CAEohORTCY3Owm65NKe8vvl5eVNTM3mMMN5IqLesX5DCwbkBkVG+h2INsLtdsNqteLGG2/c7KRsyC233LLZSdg0VquVDwZEJmKxWHSPYTBAmyocDuMnP/mJ2vpE48/tdhta65yIxoORbQQMBQPlchkA4Pf7B0sR0RpYsRARDZd2fJ+RlYMNjQbM5/MAgGAweILJIiIiolHRjhMw0jJgKBgolUoAjO18RERERJtro3sKGQoG5ChqNucSERGNP6vVqgYEctxf3+ONvGgqlQIAxOPxAZJGREREoyIH/Q8tGCgWiwDYTUBERGQWcuti7SrC69nQCoQej2eAZNHJ0Ol0uK20SfBcmQvPl3nwXK3N5/MB6M4I7MdQMFCpVAAAXq93gGTRyXDFFVfAarXim9/85mYnhXTwXJkLz5d58FytbejBAAcQji85SpR7Row/nitz4fkyD56rtQ09GFhdXQUAJBKJAZJFJ0Or1QLAraXNgOfKXHi+zIPnam3RaBQAkE6ndY81FAwUCgUAbBkYR3JwJ1eHHH88V+bC82UePFdrC4VCALp1eD+GggG5U5mMMmh8cKlo8+C5MheeL/PguVqbHOcnx/31o7s3QbVaVbsJTj311AGTZj6KoqDdbqPVavWs4iR3gbLZbHA4HJvSV6UoirqNbiwWG/n7b4ZOp4NWq6WOHtYus2m1WuF0OseyqXDcz5WiKGg0GmpzKyCucbvdDofDYWjXs61kGOer0+mg0Wgcd43a7XbYbLZtl6cny7HnSlEU1Ot15jO6wZFcRbgf3WBAu3+5WboJFEVBrVZDoVBAJpPB4uIiVlZWkEqlUCgUUC6XkcvlkMlkkMlkUCwWUa/X0Wg00Gw20Wg0UKlUUC6XUavVjK3rbLXC4XCohafD4YDX60UkEkEoFEIgEEA4HIbP50MwGEQkEoHb7Ybb7YbP5+s5ZmJiAj6fDz6fDy6Xa92LudVqqc0/09PTQ83DE9VsNlEsFtX8KxaLWF5eRiqVQrlcVn9WKpVQrVZRq9VQrVZRKpXUv5NfjUYD9Xod9XodzWYTzWbT0PQhu93ek7culwtOp1PNZ/kVCAQQCoUQDAaRSCQwOTmJeDyORCKBWCw21F06h32u2u02kskkMpkM0uk0FhcXkc1m1TwulUqoVCooFotqfss8LhaLqNVqaDabqNVqqNfrute4w+GAx+NBIBBAMBiE3+9HMBhEOBxGMBhEKBRSvw+Hw4hGowiFQvD7/QgEAojH44hEIqYomNvtNjqdTs/5Wl5exp133olkMolCoYBKpYJaraZe5/V6HeVyGdVqFc1msyeoWovFYoHD4YDT6YTT6YTdbofH44Hf74fP54PH44Hb7UYoFEIkEkEwGEQwGEQ0GsXU1JSatzKv/X4/3G63KfJXS1EUNJtNpFIpZLNZVKtV5PN5tZwul8tYXV3F8vIyVldX1a98Po9isYh77rkHF110Uc+5OnDgAM4//3wAIp+dTiccDgf8fr+ab6FQCNFoFF6vFz6fD9FoFOFwGOFwGHNzc4jH4wiFQojFYgiFQqYYmFitVpHJZJDNZrG4uIiFhQV8+ctfBgAcPHhQ9+91gwHtwAObzaZmoixI5QUsMzIYDCIWiyEajaoXtcvlgsvlgsfjUQtnl8ulPlFbrVb1CVxWxs1mUy3A5A1XrVbVwqxcLqsXRKlUwsrKCpLJJJaWlpDJZHRvxmHrdDpqxaV1+PDhgV7X4/EgHo/D7/cjEomoFdUtt9yCyclJWCwWKIoCu92OXC6H3/72t2peu93unuDEZrPBZrOpeQ50Cz6Z77VaDbVaDY1GA+VyGel0Wq10ZF6n02mk02n1nJRKJeRyOeTzeXVNis3UarXUa0eunrlRFosFExMTmJycxOTkJHw+H8LhMGKxGCKRCCYmJtTrXQZ2stBxOBxwu91wuVyw2Wzw+/1oNBo956rZbGJxcVG9pmVeykBIFoSVSgX5fB7pdBrLy8tYXl7G4uIiVldXRzqvWgZjhUIBCwsLJ/QadrtdzT+v14t4PI54PA6fz6cGFzKIiMViCIfD8Hq9aqXpdrvV/JVPfYC4hmXrnbwHq9UqcrkcSqUSarWaGiAVCgW14pH/LxaLKBQKyOfzyGQyuPvuu3H++ef3nK8XX3wRn/3sZ4eWn7IlxsjKcEa53W5MTk6qZbSs7LRltsxrGQR7vV643W41mJDXsNVqhcViUYMLbUtcq9VSrwcZzMuHr0KhgFqthmKxiNXVVaTTaTXwz2azyGQy6jWez+eRz+cHKqvb7TbK5XLPudLmqWwlqNfrKJVKagvCRtjtdszMzCCRSMDr9apf8joNBoNwuVzw+XwIBALwer1qGSyDO1nfOZ3OnrpP5q+s/+r1unr/y4dZeY3KOi+bzar13crKClZXV9UH2vW85jWv0f2cFkWnRPnv//5vXHnllRvMvvFgsVgQDAYxPT2NmZkZtYCRT+fyhgkGg2qELr9kxOjxeNTI/dgmJ1kItdttNYDRflUqFbUSLRaLyOfzKJfLyGazyOfzasVbqVSQy+VQLBbVyG6tExsIBDA7O4tOp4MXX3yx52lOVvQ7duzAWWedBZvNhldeeQVPPfWUoU0qhk22jMinwkQiod4YwWCw5+lH3jTyRvJ6vWq+y0pVVgDyS54LeUPJgqrZbKqFk6wEZKuPvJlkXssnkHw+33NzpdPpgStaq9WKU089FW63G0tLS8jlcurvbDYbvF4v9uzZg5mZGRSLRTz77LNYWlra8HtEIhFEIhHMzMxgYmJCvW79fr+a/4FAQM1f+b2sWLWBuexikYGiLPhly4w2GJcBoKwA5DUtv5f/l60RcufTcWO1WnHOOedg586daDabOHToEJ5//nm4XC5MTExgbm4Op5xyCvbs2YMzzjgDoVAItVoNgKh8ZX7LyuDYgEVeq1arFZ1OR81TbSuk/L5Wq6FUKqmBYa1WU/NR5mEqlcLKygoKhQJKpRKy2ayhwWHjTl7LHo9HbV3SPrXPzMwgHo/j1FNPxY4dOxAIBNQ81pbPMq9l5SrzUT5cyoo1m80il8upFW86nVaD7vn5efX3RprXx4nNZkM4HMbU1BTm5ubUcX7/9E//pNsiqRsMaAuDWq2GTCbTUwjIAkJelDJDZZNltVrtidZl4dwvGpT98H6/Xy3UZOUhCzRZqcgmy3g8jqmpKSQSCSQSCbXCMUPzzlpkMJHP5+HxeNQ8kKrVKr7zne/gf//3f5HJZLB3715cf/312LdvX8/rZDIZfOYzn8Edd9yhW8HJ5nXZrO73+xGNRpFIJNSgSbZQyNYK+VShbRmSN6pZdTodrK6uYmVlBUtLS0ilUmpgJ79SqZQaWMj7wOFw4M/+7M9wxRVX4Nxzz1XPV6fTwY9+9CO8613vQqfTwSc+8QncdNNNx20J/stf/hJf/OIXsbi4qHYTeb1etbVtcnISMzMz6r+xWAx2u27j3lio1WpIpVJqE2+5XMbKyor6hC677nK5nPoEmcvlUC6Xe55C9ZZVlQGOfHKT16i29SEWi2HHjh247LLLsHv3brjd7p7X6HQ6pio32u02KpVKTxO6LIPlE7k2n7WBsOzukC0oRh8cZLeo7I5zu91qN6csE+LxOCYmJuD3++HxeNSWNe2TdSgUUp+ox/FartfrSCaTmJ+fRyaTUVvrZNmcSqXUp3KZt5VKRa3vZJ5ru6H18li2oMtWR9mlKa9fWf5OTU2pD1oyL4PB4Al3FekGAyeLfIrTZsxmDsbb6uRTiewWkKdddhnY7Xbm+0nWbDZ7dhKjEyObqWXLmLx+7Xa76frMx40sl9da3tdiscBms7GsGJDsDtfmsczbzaz/Ni0YoI2p1+t4+eWXsbCwgImJCZx77rlrHvfSSy/h4YcfRrvdxs6dO3HxxRez8hkxRVGwsrKCQ4cOoVwu49JLL4XL5eo5ptFo4P/+7/8wPz8Pv9+PN7zhDZibm9ukFG9flUoFTzzxBA4dOgS73Y49e/ao4wW05ufncf/998Nut+NNb3oTJiYmNinF21e73cazzz6LZ555BtVqFbOzs7jkkkt67q1MJoPHH38c8/PzCAQC2L9/P3bu3LmJqTYPBgMm8c53vhOdTgc2mw3nn38+br311p7fK4qCL33pS7j//vtx0UUXwe1247nnnsMdd9zR071AJ9/Xv/51/Od//idCoRDy+Ty+/vWvIxKJqL+v1Wq4+eab0el08IY3vAErKyt4+OGH8Td/8ze48MILNzHl28/HP/5xrK6uYu/evWi1WnjooYfw+te/HjfffLN6zAMPPIDPfe5zuOyyy1Cr1fDII4/gtttuO65Ljk6uH/7wh/j2t7+N888/H4FAAI8//jgA4K677lJnul133XXYsWMHzjjjDKTTaTz22GN4z3veg6uvvnoTU24SCpnCyy+/rDSbTeUzn/mM8qlPfeq43z/44IPKtddeqywvL/f8vNPpjCqJ9KqVlRWlUCgozz//vHLVVVcpmUym5/ePPPKIcvXVVyv5fF792T/+4z8qt91226iTuu0dPny45x45cOCActVVVymHDh1SFEVR2u22csMNNyjf//731WO+/OUvK3/5l3858rRud0tLS0qtVlP/Xy6XlRtuuEH59re/rf7s8OHDPX/zne98R7nuuuuURqMxsnSaFTt+TOK0007rO8DmgQcewGWXXYZEIoFSqaSOxWAf6uglEgkEAoF1fy/HaWgHrvl8Pp6rTbBjx46efN+1axcAIJvNAgCOHDmCXC6H3/md31GPueSSS3Do0CHTjTQ3u6mpqZ4uAa/Xi5mZGfVcAeJ8ap155pnqgD7qj8HAFvHUU0+h1Wrhfe97H66//nq8+93vxg9+8IPNThat4YILLsB5552HO+64Az/72c/wrW99C48++ije9a53bXbStr377rsPPp8Pe/bsAQC8/PLLsNvtPWMEpqam1N/R5llYWMDBgwdxwQUXrHvMfffdhz179nCZYgPGby4HbVin00G1WsX999+P2267Deeccw4effRR3HnnnTj11FOxf//+zU4iaVitVpx33nn4/ve/r065O+OMMzgobZM999xz+NrXvoYPfvCD6jibarUKj8fT03og13vn0+bmKZVK+NSnPoU3vvGNeN3rXrfmMf/zP/+DRx99FJ/+9KdHnDpzYsvAFiDX5L/ooouwb98+2Gw2XHzxxdi7dy8efvjhzU4eHePBBx/EN7/5Tdx5552488478c///M9wu9246667Njtp29ahQ4fwyU9+EjfccAMuvfRS9ecejwfVarVnmp3cFOfY9QloNCqVCm6//XYkEgl86EMfWrN77Wc/+xn+7d/+DR/72Mdw2mmnjT6RJsRgYIvYtWvXcU1hfr+f/Zpj6Omnn8auXbvU5mYZvD377LObslrkdvfSSy/htttuwzve8Y7jRp2fccYZaLVa6mZtALC0tASLxYLTTz991End9iqVCj75yU/C4/Hg1ltvXXNxswcffBBf/OIXceutt3LGxwYwGNgizjvvPBw4cEBd2bFSqeDZZ5/F3r17NzlldKxEIoH5+fmefRxeeOEFxGIxLuYyYq+88go+/vGP46qrrsIf/dEfHfd7uaTrAw88oP7swQcfxJlnnskpuyNWq9Xwd3/3d7Db7fjYxz625kZiP//5z/G5z30Ot9xyC7tHN4jrDJjEF77wBRw5cgSLi4tQFAWzs7OYnp7Ghz/8YQCi8v/oRz8Ki8WCs88+G0888QQcDgfuvPNOtY+TRuPxxx/Hd77zHVSrVRw+fBi7du2C3W7HBz7wAezcuRO5XA4333wz7HY79u/fj2QyiV/96lf4i7/4C7z5zW/e7ORvKzfffDMOHTqkziKQrrvuOnVg2sMPP4zPfOYzuPjii1Gr1fCb3/wGt99+O84+++zNSPK29d3vfhff+MY3cNppp/V00ezbtw/XX389Wq0W3vGOd8Dn82F2drbnb2+++WbE4/FRJ9lUGAyYxIEDB1AsFnt+5vP51K06AbFC18MPP4yjR4/i1FNPxetf/3pT7xFgVslkcs0tQ1/72tciFAoBECsQPvLII1haWkIgEMC5557LFQg3wRNPPKGOAdA688wzMTk5qf4/mUzigQcegN1ux2WXXaaeRxqdI0eO4MiRI8f9fGJiAnv27EGn01l3jNT+/fv5UKSDwQAREdE2xw5KIiKibY7BABER0TbHYICIiGibYzBARES0zTEYICIi2uYYDBAREW1zDAaIiIi2OQYDRERE2xyDASIiom2OwQAREdE2x2CAiIhom2MwQEREtM3ZNzsBRKTviSeewNGjR3H22Wdj165dSCaTAIBEIqEeoygKfvvb3+KVV16BxWLBzp07sWfPHlitvTF/q9XCww8/jEwmg7179x63fa/W008/jRdeeAFerxf79+/HxMTEyfmARLSpGAwQjbF0Oo3rrrsOP/3pT+Hz+VCtVvH+978fzzzzDBRFwQMPPAAAmJ+fxzXXXIPHH38cXq8XiqKgWq3ixhtvxL/+67+qr/e1r30NH/vYx7CwsACHw4Fms4m3vvWt+I//+A/EYjH1uF/84he46aab8Otf/xputxvNZhOKouDHP/4xrrjiipHnAxGdXOwmIBpj73//+/HII4/gBz/4AYrFIl566SU888wzeOSRR3qOu+OOO3D48GE88cQTKJfLKJfLOHjwIK699lr1mB//+Md4z3vegyuvvBLJZBK1Wg333XcfHnvsMXzgAx9Qjzt69Cje8pa3oNVq4aGHHkKlUkGlUsG9996LqampkX12Ihodi6IoymYngoiOl8lkkEgk8OEPfxh33XWX+vODBw9iz549uOSSS9SWgcsvvxzlchkPPfTQuq93+eWXI5VK4Ve/+lVP18HnP/95/NVf/RVWVlYQjUbx93//97j99ttx4MAB7N279+R9QCIaG+wmIBpTDz74INrt9nHN8rt378bOnTt7fvamN70JH/nIR3DllVfi7W9/O37/938fp512mvr7UqmEn/70p3jzm9+Mb3zjGwDEGAMAWF5eRqvVwmOPPYa3vOUt+NGPfoSzzjqLgQDRNsJggGhMZbNZAFhz0F48Hu/5/1//9V/D5/Phq1/9Kt773vcCAC644AJ86UtfwoUXXohsNotOp4OnnnoKn/3sZ497vf3798PpdAIQLRKnnnrqsD8OEY0xBgNEY0pW+MvLyzj33HN7fre8vIwdO3ao/7fZbLjppptw0003IZVK4d5778VHP/pR/OEf/iHm5+cRiURgs9nwtre9DV/4whf6vu/U1BQWFhaG/4GIaGxxACHRmLr00kvhdDpxzz339Pz8wIEDeOWVV9b9u4mJCVx//fX44Ac/iOXlZSwvL8Pv9+Mtb3kL7r77bhQKhb7ve8011+D555/Ho48+OoyPQUQmwGCAaEwFAgH86Z/+Kb7yla/gi1/8IgqFAh599FG8+93vhs/n6zn2Qx/6EL773e9iYWEB5XIZTzzxBL71rW9h165dmJycBADceuutWF5exlvf+lY88MADSKVSWFxcxA9/+EPccMMN6mv9+Z//OSYnJ/HHf/zH+N73vodcLof5+Xn8+7//+3GzGIhoa2AwQDTGPv/5z+Nd73oXPvjBDyIUCuGSSy7B29/+dlx44YU9x62uruJP/uRPMDc3B7/fj/3798PhcOBb3/oW7HbRG3jJJZfg3nvvhcViwe/+7u8iHo9jdnYW1157bU9rQTwex/3334+zzz4b73znOxGJRHDKKafgQx/6EJrN5kg/PxGNBqcWEpnA/Pw8FhcXceaZZyISieD3fu/30Ol01KmFAFCpVPDiiy+iVqthbm4O09PTsFgs677e/Pw8fD4fdu3aBY/Hs+ZxS0tLOHz4MAKBAHbv3g2Hw3FSPh8RbS4GA0QmtFYwQER0othNQEREtM1xaiGRCb3vfe8DG/WIaFjYTUBERLTNsZuAiIhom2MwQEREtM0xGCAiItrmGAwQERFtcwwGiIiItjkGA0RERNscgwEiIqJtjsEAERHRNsdggIiIaJv7/4/Rc5Sz34ljAAAAAElFTkSuQmCC","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917295830)>"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(mtcars)+\n"," aes(y=\"qsec\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{"id":"4o3Xf8L2znyu"},"source":["# Visualización de datos"]},{"cell_type":"markdown","metadata":{"id":"nmpyzCfj9gHn"},"source":["## Plotnine\n","\n","* Plotnine es una implementación de una gramática de gráficos en Python que se basa en ggplot2 (de R).\n","\n","## ggplot\n","\n","* Un paquete creado por Hadley Wickham para la visualización de datos en R\n","* Este paquete utiliza una gramática de gráficos, que fue desarrollada por Leland Wilkinson.\n","* ggplot nos entrega un conjunto de componentes que al ser combinadas producen gráficos personalizados.\n"]},{"cell_type":"markdown","metadata":{"id":"ONEaVki11RRh"},"source":["### Barplot"]},{"cell_type":"markdown","metadata":{"id":"AFOu0WzFl5Hq"},"source":["Generalmente se usa para datos categóricos, así es más simple ver las distribuciones de estos mismos. Como la cantidad de hombres vs mujeres, muertos vs sobrevivientes, etc."]},{"cell_type":"code","execution_count":20,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":112},"executionInfo":{"elapsed":13,"status":"ok","timestamp":1662160248880,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"50gmCGJG-3si","outputId":"26c4fe9c-80bc-4327-d7d7-a154e85ce896"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>am</th>\n","      <th>conteo</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>19</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>13</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   am  conteo\n","0   0      19\n","1   1      13"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["tabla=mtcars[\"am\"].groupby(mtcars[\"am\"]).count()\n","tabla=pd.DataFrame({\"am\":tabla.index,\"conteo\":np.array(tabla)})  #Con replace podemos cambiar el 0 a automatico y 1 a manual\n","tabla"]},{"cell_type":"code","execution_count":24,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"executionInfo":{"elapsed":529,"status":"ok","timestamp":1662160249399,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"EH50D27vzqOL","outputId":"68a37f22-59fa-4e68-a822-a947e89cc12f"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917352858)>"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(tabla)+\n"," aes(x=\"am\",y=\"conteo\",fill=\"am\")+\n"," geom_bar(stat=\"identity\") \n",")"]},{"cell_type":"markdown","metadata":{"id":"ViSuSoN91VoS"},"source":["### Histograma"]},{"cell_type":"code","execution_count":23,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":510},"executionInfo":{"elapsed":530,"status":"ok","timestamp":1662160249920,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"BCGm30C11XFv","outputId":"c2329665-5d92-4c39-daf2-21f8d3122e13"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.8/dist-packages/plotnine/stats/stat_bin.py:95: PlotnineWarning: 'stat_bin()' using 'bins = 6'. Pick better value with 'binwidth'.\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780930279858)>"]},"execution_count":23,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(mtcars)+\n"," aes(x=\"hp\")+\n"," geom_histogram(color=\"red\",fill=\"red\",alpha=0.5)+ \n"," theme_linedraw()+\n"," ggtitle(\"Histograma Caballos de Fuerza\")+\n"," xlab(\"Caballos de Fuerza\")+\n"," ylab(\"Frecuencia\")\n",")"]},{"cell_type":"markdown","metadata":{"id":"Z5POV_T_BB88"},"source":["### Scatterplot"]},{"cell_type":"code","execution_count":26,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":457},"executionInfo":{"elapsed":501,"status":"ok","timestamp":1662160250412,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"q1jaKZPDBE_8","outputId":"f7353f30-ad4a-4dc1-fd7d-dc6484d02f2e"},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780910403572)>"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(mtcars)\n","+aes(x=\"wt\",y=\"hp\",shape=\"factor(vs)\",color=\"factor(am)\")\n","+geom_point(size=4)+\n","theme_xkcd()\n",") "]},{"cell_type":"markdown","metadata":{"id":"XGpplzA92nSo"},"source":["# Ejercicios"]},{"cell_type":"markdown","metadata":{"id":"cxmN2LIM2pR7"},"source":["## Pregunta 1 \n","\n","* Con el dataset de Estonia grafique solamente el sexo de sobrevivientes tras el accidente."]},{"cell_type":"code","execution_count":131,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":465},"executionInfo":{"elapsed":788,"status":"ok","timestamp":1662162068479,"user":{"displayName":"Bruno Reyes","userId":"02058627582355526087"},"user_tz":240},"id":"ZGC6pq3I2oUB","outputId":"1665480f-adf5-4f53-f104-abb9f0757c19"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Sex</th>\n","      <th>Survived</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>F</td>\n","      <td>27</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>M</td>\n","      <td>110</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  Sex  Survived\n","0   F        27\n","1   M       110"]},"execution_count":131,"metadata":{},"output_type":"execute_result"}],"source":["df_estonia = pd.read_csv(\"https://raw.githubusercontent.com/lmudu2/EstoniaDisaster/master/estonia-passenger-list.csv\")\n","\n","df_estonia = df_estonia[df_estonia[\"Survived\"] == 1]   #Filtramos todos los tripulantes sobrevivientes\n","\n","\n","df_group = df_estonia.groupby(df_estonia['Sex'])['Survived'].sum() #Agrupamos segun sel sexo\n","df_group = pd.DataFrame(df_group)\n","df_group = df_group.reset_index()\n","df_group\n","\n"]},{"cell_type":"code","execution_count":132,"metadata":{},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAoAAAAGuCAYAAAAAg7f4AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAjvUlEQVR4nO3deXDTdf7H8VeaNvSQ0kqgQKGAwiK4BSyIYodL3IKVq8MlqFiVBXaX2xNhXRdZcHVlQWotlhXw4NBtB0GGQ1Bg5FBZlGNER6QtNzRSKNbSSpvfH87mRxdhSkjyTfk8HzMM/abffHlnpkmffL/5fmNzu91uAQAAwBghVg8AAACAwCIAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMOEWj2AP7hcLqtHQJCy2WyKiIhQaWmpuAY6EHg8B3ElTqfT6hGMwR5AGCUkJESRkZEKCeFHH7ACz0EgOPAMBAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAME2r1AADgT2NPnLF6BPyvoz9YPQF+RUaDGKtHQACxBxAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGCbU6gH8weFwqFatWlaPgSBks9kkSVFRUXK73RZPg4A4ccbqCYAaoXbt2laPgAC6LgOwvLxc5eXlVo+BIGS32+VwOFRSUqKKigqrxwGAoHHu3DmrR2DnTQBxCBgAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMEyo1QNI0rFjx5SVlaXvvvtOkZGRGjp0qFJSUiRJBQUFmjdvnvLz8xUXF6dRo0apXbt2Fk8MAABQc1m+B7CiokIzZsxQmzZt9M4772jKlClauHCh9u3bpwsXLuiFF15Qp06dtHTpUt1///2aNWuWzpw5Y/XYAAAANZblAXj06FGdOnVKgwcPlt1uV4sWLXTnnXfqo48+0t69e1VWVqZBgwYpLCxMXbp0UUJCgrZu3Wr12AAAADWW5QHodrvldrsvuS0/P1+HDh1Ss2bNFBLy/2PedNNNKigoCPSYAAAA1w3L3wMYHx+vunXravny5Ro8eLAOHjyoHTt2KDY2VqWlpYqKiqqyflRUlE6dOlXlNpfLJZfL5VkOCQlRvXr1AjI/aha73V7lbwDAL3hdNIvlARgaGqpp06bpjTfeUHp6uuLj49WzZ08VFBQoIiJCJSUlVdYvKSlRREREldtycnKUnZ3tWU5PT9fYsWMDMj9qpujoaKtHQKAc/cHqCYAaITY21uoREECWB6AkJSQkaMaMGZ7ll19+Wa1atVJCQoJycnJUWVnpOQycl5enrl27Vrn/wIED1a1bN89ySEiIioqKAjM8ahS73a7o6GgVFxeroqLC6nEAIGgEw+9NIjRwgiIA8/Ly1KhRI4WEhGjLli3avXu3Ro8ercjISDkcDuXm5qp///767LPPVFBQoOTk5Cr3dzqdcjqdnmWXy8Uvd1xRRUUFPyMAcBFeE80SFAG4ZcsWrVu3ThcuXFCLFi00ffp0zyG6adOmKSMjQ8uWLVP9+vU1ZcoUxcTEWDswAABADWZz/+8puNeBi08IAS5mt9sVGxuroqIi/rdriLEnzlg9AlAjZDSIsXqEKkfz4F+WXwYGAAAAgUUAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAME2r1AP7gcDhUq1Ytq8dAELLZbJKkqKgoud1ui6dBQJw4Y/UEQI1Qu3Ztq0dAAF2XAVheXq7y8nKrx0AQstvtcjgcKikpUUVFhdXjAEDQOHfunNUjsPMmgDgEDAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGFCq7ti8+bNZbPZqr3hgwcPejUQAAAA/KvaAdi/f/8qAfjvf/9bxcXFuueeexQXF6eTJ09qw4YNqlOnjgYNGuSXYQEAAHzp3Xff1dy5c/Xtt9/K7XYrPj5eycnJmjlzpurXr2/1eH5T7QCcM2eO5+uXX35ZTZo00dq1axUdHe25/ezZs7r33nsVFxfn0yEBAAB87aWXXtIzzzyjSZMmafr06XK73dq3b5/effddHTt27LoOQJvb7XZf7Z2aNGmizMxM9e3b95LvrVy5Un/84x915MgRnwzoDZfLZdm/jeBmt9sVGxuroqIiVVRUWD0OAmDsiTNWjwDUCBkNYqweQU6nM6D/XuPGjZWSkqI333zzku9VVlYqJOT6PVXCq0d2+vRpnT179le/d/bsWRUVFV3TUAAAAP5WVFSkhg0b/ur3/jf+Fi1apLZt2yo8PFzx8fGaOnWqZ0dCcXGxmjZteslb4MaMGaO6devq2LFj/nkA18CrAOzZs6eefvppbd68ucrtmzZt0jPPPKOePXv6ZDgAAAB/6dChg7KysrRgwQKdOHHisuvNnj1bI0eOVK9evbRq1So9/fTTevXVVzV16lRJUnR0tBYuXKjc3Fy9/fbbkqQ1a9Zo/vz5yszMVKNGjQLyeK6GV4eAjx8/rn79+mnXrl2qU6eO6tWrp8LCQp09e1a33XabVq5caemD5RAwLodDwObhEDBQPSYeAt63b5/S0tJ04MABSb9c8aRv376aNGmSmjVrJkk6d+6cGjVqpHHjxmnmzJme+2ZlZWny5Mk6fPiw6tatK0maMGGCFi9erE2bNik1NVXdu3fXkiVLAvqYqsurAPyvtWvX6vPPP9fx48fVsGFDderUSb179/blfF4hAHE5BKB5CECgekwMQEkqLy/Xhg0btH79em3evFlfffWVateurS1btqh9+/Zat26devfurV27dikxMdFzv/z8fLVs2VKbNm1St27dJEmlpaVKSkpSXl6enE6n9u7dq9jY2IA/puqo9lnAv6Z3795BEXwAAADecDgcSk1NVWpqqiRp3bp1uu+++zR9+nTl5uZ6diolJSX96v0PHz7s+ToiIkIDBgzQiy++qOHDhwdt/EnXGIBr167VF198ocOHD2vatGlKSEjQli1b1KJFi6A83g0AAHAlvXr1Urt27bR//35J0o033ihJys3NVZMmTS5Zv3nz5p6v9+zZo9mzZ+u2227TvHnz9Mgjj6h169aBGfwqeRWAhYWFGjBggHbs2KEmTZro8OHDGjNmjBISEvTmm28qKipKr732mq9nBQAA8JmTJ09ecu3i0tJSHT58WLfeeqskqXPnzoqMjNSRI0eUlpZ22W2Vl5froYceUqdOnbRx40YlJydrxIgR2r59u0JDr2l/m194NdHEiRNVWFioffv2qWXLlnI4HJ7v3XPPPZoxY4bPBgQAAPCHxMRE9e3bV7169VLDhg119OhRZWRkyOVyacKECZKkmJgYTZ8+XU899ZSOHDmi7t27y2636+DBg/rggw+Uk5OjyMhIPffcc/r++++1e/duORwOvfXWW0pKStKMGTP0/PPPW/tAf4VXAbh69WplZ2erdevWl7yRvkmTJl5dBHrbtm1asmSJTp48qejoaD322GO66667VFBQoHnz5ik/P19xcXEaNWqU2rVr583YAAAAHs8//7xWrVqlyZMnq7CwUE6nU23bttXGjRvVo0cPz3qPP/644uPjNXv2bM2bN09hYWG6+eab1adPHzkcDm3btk0vv/yyMjMzdfPNN0uSWrdurVmzZunJJ59Unz591LFjR6se5q/y6izgG264Qe+9955SU1NVUVGhsLAw7dy5U0lJSVqxYoUeffRRnT59utrb2717t+bOnasnnnhCt9xyi4qLi3X+/Hk5nU6NGTNGKSkpSktL044dO/Taa68pKytLMTExl90eZwHjcjgL2DycBQxUj6lnAZvKqwtB33HHHb/6sSmStGzZMiUnJ1/V9pYsWaKhQ4eqTZs2CgkJUUxMjBo0aKC9e/eqrKxMgwYNUlhYmLp06aKEhARt3brVm7EBAAAgLw8Bz5gxQz169FDXrl01aNAg2Ww2rVixQrNmzdLq1av16aefVntbFRUV+u6779SpUyeNGTNG58+f12233aaRI0fq0KFDatasWZWPY7nppptUUFDgzdgAAACQlwHYuXNnffLJJ3rmmWf0+OOPy+12629/+5s6d+6sjRs3XvZaOb/mzJkzunDhgrZs2aIZM2YoPDxcr7zyihYsWKC4uDhFRUVVWT8qKkqnTp2qcpvL5apy2DckJET16tXz5qHhOme326v8DQD4Ba+LZvH6vOTOnTtr8+bNKi0tVVFRkWJiYhQZGXnV26lVq5Yk6b777vMc+x88eLBmzpypwYMHq6SkpMr6JSUlioiIqHJbTk6OsrOzPcvp6ekaO3bsVc8Cc0RHR1s9AgLl6A9WTwDUCMF80WJ/OJB+v1+222LRMr9s19e8CsDs7GwNHjxYMTExioiIuCTIrsYNN9wgp9Mpm812yfcSEhKUk5OjyspKz2HgvLw8de3atcp6AwcO9HwMi/TLHsCioiKvZ8L1y263Kzo6WsXFxZwEAgAXCYbfm6ZFqJW8CsCxY8dq3LhxSklJ0fDhw9W/f/9risCUlBStXr1aHTt2VK1atZSTk6NOnTopMTFRDodDubm56t+/vz777DMVFBRccpKJ0+mscuaQy+XilzuuqKKigp8RALgIr4lm8eos4BMnTmjevHkqKSnRgw8+qPr162v48OH68MMPdeHChave3uDBg9WmTRv96U9/0ujRoxUdHa2RI0cqNDRU06ZN044dOzRs2DAtWbJEU6ZMueIlYAAAAHBlXl0H8GInTpzQ8uXLtXz5cu3YsUOxsbEaNGiQ5s+f76sZrxrXAcTlcB1A83AdQKB6TLsOoOnvAfRqD+DFGjRooAkTJmjbtm1au3atIiIitGDBAl/MBgAAAD+45gA8cuSI/vGPf6hjx4669957VVZWplGjRvliNgAAgOtC9+7dFR4erhtuuMHzZ8WKFZbN49VJIIWFhXr//fe1dOlSbd++XZGRkRowYIBeeOEF/e53v1NoqNdXlwEAALguzZkzR2PGjLF6DEleBmCjRo0UGhqq1NRULVu2TH369FF4eLivZwMAAIAfeBWACxYsUFpaGhfTBQAAqIG8eg/gww8/TPwBAABchcmTJysmJkYxMTFq3LixpbNUew/g+PHj9cQTTyghIUHjx4+/4ro2m01z58695uEAAACuF7Nnz6557wFctWqVHnvsMSUkJGjlypW/+tFt/0UAAgAABK9qB2BeXp7n6/z8fH/MAgAAgADw6j2A3333na/nAAAAQIB4dRZwq1at1KFDBw0fPlxDhw5Vo0aNfD0XAADAdWPTpk1Wj1CFV3sAV65cqVatWukvf/mLEhIS1KNHD2VnZ+v06dO+ng8AAAA+5lUA9unTR++8845OnjypJUuWKDY2VuPHj1fDhg3Vt29fLV261NdzAgAAwEeu6bOAIyIiNGTIEOXm5urkyZPKysrSl19+qQcffNBX8wEAAMDHfPKhvTt37tSyZcv03nvv6dixY2rVqpUvNgsAAAA/8DoAv/76ay1dulTLly/XgQMH1KRJEw0bNkzDhg1T+/btfTgiAAAAfMmrAExMTNTXX38tp9OpwYMHa+HChUpOTvb1bAAAAPADrwKwY8eOeuWVV9SzZ0/Z7XZfzwQAAOBXLRYts3oES131SSDnz5/XDz/8oPDwcOIPAACgBrrqAAwPD9fmzZtVUVHhj3kAAADgZ14dAk5JSdH69evVo0cPX88DAADgd/fvO+CX7S77bQu/bNfXvArARx55RKNHj9a5c+eUmpqquLg42Wy2KuskJSX5ZEAAAAD4llcB2KdPH0lSZmamMjMzq8Sf2+2WzWbjEDEAAECQ8ioAP/nkE1/PAQAAgADxKgC7devm6zkAAAAQINf0WcAAAACoebwKwJCQENnt9iv+AQAAwC+6d+8um82mrVu3Vrl94sSJstlsysrKCug8Xh0Cnj179iVn/RYVFWn9+vU6duyYJk6c6IvZAAAArhu/+c1vtHjxYs/H5/78889avny5WrQI/KVjvArAywXe888/rxEjRuj06dPXMhMAAMB154EHHtCrr76quXPnKiIiQqtXr1bbtm1VVlYW8Fl8/h7ABx98UPPnz/f1ZgEAAGq0+vXr66677tKKFSskSYsWLVJ6erols/g8AL/99ltVVlb6erMAAAA1Xnp6uhYvXqzCwkJt27ZNaWlplszh9XsA/1d5ebn279+v999/X8OHD7/mwQAAAK43ffr00R/+8Ae99NJLSktLU3h4uCVzeBWATzzxxCW31apVS40bN9aECRP05z//+ZoHAwAAuN44HA4NHTpUr7zyyiVnBAeSVwHIIV4AAADvTJs2TQMGDFDnzp0tm4ELQQMAAARQ/fr1dffdd1s6Q7X3ALpcLh07dkxt27atcvuePXs0ffp07d+/Xw0aNNDEiRPVt29fnw8KAABQU23atMmr7/lLtfcATpky5ZJTlQsKCtSlSxd98MEHioiI0L59+5SWlqYtW7b4ek4AAAD4SLUDcOvWrXrggQeq3PbPf/5TP/74o1avXq2dO3cqPz9fd955p/7+97/7fFAAAAD4RrUD8OjRo/rtb39b5bZVq1apffv2SklJkSRFRERo7Nix2rNnj2+nBAAAgM9UOwBtNluVz/89efKk8vLy1K1btyrrNW7cWC6Xy3cTAgAAwKeqHYCtWrXShg0bPMsffvihbDabZ+/ffx0/flz16tXz3YQAAADwqWqfBTx+/HiNGDFCRUVFatCggV5//XW1aNFC99xzT5X11q1bp8TERJ8PejUcDodq1apl6QwITv/dix0VFSW3223xNAiIE2esngCoEWrXrm31CAigagfgAw88oKNHj2revHkqKipShw4dlJmZqdDQ/9/EqVOntGrVKv31r3/1y7DVVV5ervLycktnQHCy2+1yOBwqKSlRRUWF1eMAQNA4d+6c1SMEdOfNst+2CNi/FYxs7utwNwjvQcTl2O12xcbGqqioiAA0xFj2AALVktEgxuoR5HQ6rR7BGHwSCAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwTKjVA0hSRkaGdu7cqdLSUtWuXVspKSkaMmSIJKmgoEDz5s1Tfn6+4uLiNGrUKLVr187iiQEAAGquoNgD2K9fP82fP1/Lly/XrFmztHnzZn366ae6cOGCXnjhBXXq1ElLly7V/fffr1mzZunMmTNWjwwAAFBjBUUAJiQkqFatWp5lm82mY8eOae/evSorK9OgQYMUFhamLl26KCEhQVu3brVwWgAAgJotKA4BS9LixYv14YcfqqysTPXr11ePHj20bds2NWvWTCEh/9+pN910kwoKCiycFAAAoGYLmgB8+OGHNWLECB04cEA7duxQVFSUSktLFRUVVWW9qKgonTp1qsptLpdLLpfLsxwSEqJ69eoFZG7ULHa7vcrfAIBf8LpolqAJQOmXQ78tW7bUf/7zHy1dulROp1MlJSVV1ikpKVFERESV23JycpSdne1ZTk9P19ixYwMyM2qm6Ohoq0dAoBz9weoJgBohNjbW6hEQQEEVgP9VWVmp48ePKykpSTk5OaqsrPQcBs7Ly1PXrl2rrD9w4EB169bNsxwSEqKioqKAzoyawW63Kzo6WsXFxaqoqLB6HAAIGsHwe5MIDRzLA/DHH3/UF198oTvuuEPh4eH65ptvtGbNGg0dOlSJiYlyOBzKzc1V//799dlnn6mgoEDJyclVtuF0OuV0Oj3LLpeLX+64ooqKCn5GAOAivCaaxfIAlKQNGzbojTfeUGVlpW688UYNGDBA9913n2w2m6ZNm6aMjAwtW7ZM9evX15QpUxQTE2P1yAAAADWWze12u60ewtcuPiEEuJjdbldsbKyKior4364hxp44Y/UIQI2Q0SDG6hGqHM2DfwXFdQABAAAQOAQgAACAYQhAAAAAwxCAAAAAhgmKs4CvV2ee4GLUwYjLAgefmH9kWD0CABiFPYAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGCbU6gH8weFwqFatWlaPoTNWDwDUELVr1/bfxk+c8d+2geuIX5+HCDrXZQCWl5ervLzc6jEAVNO5c+esHgEwXjA8D4Nh540pOAQMAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABiGAAQAADAMAQgAAGAYAhAAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAAAAMMQgAAAAIYhAAEAAAxDAAIAABgm1OoBquPHH3/Ua6+9pl27dikiIkJpaWnq37+/1WMBAADUSDUiAOfPn6+ff/5ZCxcu1KlTp/TnP/9ZjRs3VocOHaweDQAAoMYJ+kPA58+f19atW/XQQw8pMjJSzZo1U0pKij766COrRwMAAKiRgj4Ajx49KrfbraZNm3pua968uQ4dOmThVAAAADVX0B8CPn/+vCIjI6vcFhUVpdLSUs+yy+WSy+XyLIeEhKhevXoBmxHAtbHb7VaPABiP56FZgj4Aw8PDq8SeJP3000+KiIjwLOfk5Cg7O9uznJ6errFjxwZsxsuJXbTM6hEA4y2LjbV6BAAIOkEfgPHx8ZKkQ4cOKSEhQZKUl5fn+VqSBg4cqG7dunmWQ0JCVFRUFNhBUSPY7XZFR0eruLhYFRUVVo8DGIfnIK4klv+wBUzQB2B4eLiSk5P19ttva9KkSSosLNT69es1YcIEzzpOp1NOp9Oz7HK5eGHBFVVUVPAzAliI5yBgraAPQEkaPXq0MjIylJ6eroiICA0cOJBLwAAAAHjJ5na73VYP4WsXnxACXMxutys2NlZFRUXsfQAswHMQV3Lx0Tz4V9BfBgYAAAC+RQACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBib2+12Wz0EECgul0s5OTkaOHAgHzoOWIDnIBAc2AMIo7hcLmVnZ8vlclk9CmAknoNAcCAAAQAADEMAAgAAGIYAhFGcTqd+//vf894jwCI8B4HgwEkgAAAAhmEPIAAAgGEIQAAAAMMQgDDGs88+q4EDB2rIkCGePzt27LB6LOC69+yzz6pfv376+uuvq9yenZ2tfv36ac2aNRZNBpgr1OoBgEAaOXKk7r33XqvHAIwTHx+vjz/+WG3atJEkXbhwQZ9++qkaNmxo8WSAmdgDCADwu27dumn79u0qKyuTJO3cuVPNmjVT3bp1LZ4MMBMBCADwuzp16qh169aet11s3LhRd999t8VTAeYiAGGUf/3rXxo2bJiGDRumRx55xOpxAKPcfffd+vjjj3X27Fl988036ty5s9UjAcbiPYAwymOPPcZ7AAGL3H777Xr99deVm5urO++8Uw6Hw+qRAGOxBxAAEBBhYWHq0qWLVqxYoZ49e1o9DmA09gACAAJmyJAhuuOOO3TLLbdYPQpgNAIQABAwMTExiomJsXoMwHh8FjAAAIBheA8gAACAYQhAAAAAwxCAAAAAhiEAAQAADEMAAgAAGIYABAAAMAwBCAAAYBgCEAAAwDAEIAAAgGEIQAB+9e6776pTp06qU6eOoqOj1bp1a40cOVKnTp2yejQAMBYBCMBvXnrpJT300EPq0qWLli9fruXLl+vRRx/Vzp07dezYMavHAwBj8VnAAPymcePGSklJ0ZtvvnnJ9yorKxUSwv9BAcAKvPoC8JuioiI1bNjwV7/3v/G3aNEitW3bVuHh4YqPj9fUqVNVUVEhSSouLlbTpk01aNCgKvcZM2aM6taty95EALhKBCAAv+nQoYOysrK0YMECnThx4rLrzZ49WyNHjlSvXr20atUqPf3003r11Vc1depUSVJ0dLQWLlyo3Nxcvf3225KkNWvWaP78+crMzFSjRo0C8ngA4HrBIWAAfrNv3z6lpaXpwIEDkqTmzZurb9++mjRpkpo1ayZJOnfunBo1aqRx48Zp5syZnvtmZWVp8uTJOnz4sOrWrStJmjBhghYvXqxNmzYpNTVV3bt315IlSwL+uACgpiMAAfhVeXm5NmzYoPXr12vz5s366quvVLt2bW3ZskXt27fXunXr1Lt3b+3atUuJiYme++Xn56tly5batGmTunXrJkkqLS1VUlKS8vLy5HQ6tXfvXsXGxlr10ACgxuIQMAC/cjgcSk1N1Zw5c/Tll19q7dq1+umnnzR9+nRJksvlkiQlJSUpLCzM86dly5aSpMOHD3u2FRERoQEDBqisrEzDhw8n/gDAS+wBBBBwHTp00E8//aT9+/drzZo1Sk1NVW5urpo0aXLJus2bN/ccAt6zZ49uv/123Xrrrdq/f7927dql1q1bB3p8AKjxCEAAfnPy5EnFxcVVua20tFRNmzbVrbfeqk8++URnzpxRfHy8XnzxRY0bN+6y2yovL9ftt9+u6Ohobdy4UcnJyZKk7du3KzQ01K+PAwCuN7xqAvCbxMRE9e3bV7169VLDhg119OhRZWRkyOVyacKECZKkmJgYTZ8+XU899ZSOHDmi7t27y2636+DBg/rggw+Uk5OjyMhIPffcc/r++++1e/duORwOvfXWW0pKStKMGTP0/PPPW/tAAaCGYQ8gAL/JzMzUqlWrtHfvXhUWFsrpdKpt27Z66qmn1KNHjyrrLlu2TLNnz9a+ffsUFhamm2++WX369NFzzz2nzz//XF26dFFmZqZGjx7tuc+cOXP05JNPavv27erYsWOgHx4A1FgEIAAAgGE4CxgAAMAwBCAAAIBhCEAAAADDEIAAAACGIQABAAAMQwACAAAYhgAEAAAwDAEIAABgGAIQAADAMAQgAACAYQhAAAAAw/wf5czBpCFO8hUAAAAASUVORK5CYII=","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780910398946)>"]},"execution_count":132,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_group)+ \n"," aes(x=\"Sex\",y=\"Survived\",fill=\"Sex\")+\n"," geom_bar(stat=\"identity\") \n",")"]},{"cell_type":"markdown","metadata":{"id":"5dMojOre2s6J"},"source":["## Pregunta 2\n","\n","* Analice la distribución de las edades de la tripulacion de estonia."]},{"cell_type":"code","execution_count":31,"metadata":{"id":"9kjDhPkn2uRd"},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.8/dist-packages/plotnine/stats/stat_bin.py:95: PlotnineWarning: 'stat_bin()' using 'bins = 15'. Pick better value with 'binwidth'.\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780930230239)>"]},"execution_count":31,"metadata":{},"output_type":"execute_result"}],"source":["df_estonia = pd.read_csv(\"https://raw.githubusercontent.com/lmudu2/EstoniaDisaster/master/estonia-passenger-list.csv\")\n","\n","(ggplot(df_estonia)+\n"," aes(x=\"Age\")+\n"," geom_histogram(color=\"red\",fill=\"red\",alpha=0.5)+ \n"," theme_linedraw()+\n"," ggtitle(\"Histograma Edades de pasajeros de la tripulación\")+\n"," xlab(\"Edad\")+\n"," ylab(\"Frecuencia\")\n",")"]},{"cell_type":"markdown","metadata":{},"source":["* Las edades de los tripulantes del Estonia se concentran en en centro, es decir, la mayoria de los tripulantes eran adultos \"jóvenes\", mayores a 25 y menores a 75 años."]},{"cell_type":"markdown","metadata":{"id":"rzFSl9PK2vTL"},"source":["## Pregunta 3\n","\n","* Agrupe por paises la cantidad de sobrevivientes y grafiquelo."]},{"cell_type":"code","execution_count":78,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780930203763)>"]},"execution_count":78,"metadata":{},"output_type":"execute_result"}],"source":["df_surv = df_estonia.groupby(df_estonia['Country'])['Survived'].count()\n","df_surv = pd.DataFrame(df_surv)\n","df_surv = df_surv.reset_index()\n","\n","(ggplot(df_surv)+ \n"," aes(x=\"Country\",y=\"Survived\",fill=\"Country\")+\n"," geom_bar(stat=\"identity\")+\n"," theme(axis_text_x = element_text(angle = 45))\n",")"]},{"cell_type":"markdown","metadata":{"id":"KRLBPniQ2w4S"},"source":["## Pregunta 4\n","\n","* Analice si existen outliers en el set de datos de Pokemon. (analice cada columna numerica)."]},{"cell_type":"code","execution_count":80,"metadata":{"id":"q_ue1NDW2xuW"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>Bulbasaur</td>\n","      <td>Grass</td>\n","      <td>Poison</td>\n","      <td>318</td>\n","      <td>45</td>\n","      <td>49</td>\n","      <td>49</td>\n","      <td>65</td>\n","      <td>65</td>\n","      <td>45</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>Ivysaur</td>\n","      <td>Grass</td>\n","      <td>Poison</td>\n","      <td>405</td>\n","      <td>60</td>\n","      <td>62</td>\n","      <td>63</td>\n","      <td>80</td>\n","      <td>80</td>\n","      <td>60</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>Venusaur</td>\n","      <td>Grass</td>\n","      <td>Poison</td>\n","      <td>525</td>\n","      <td>80</td>\n","      <td>82</td>\n","      <td>83</td>\n","      <td>100</td>\n","      <td>100</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>VenusaurMega Venusaur</td>\n","      <td>Grass</td>\n","      <td>Poison</td>\n","      <td>625</td>\n","      <td>80</td>\n","      <td>100</td>\n","      <td>123</td>\n","      <td>122</td>\n","      <td>120</td>\n","      <td>80</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>Charmander</td>\n","      <td>Fire</td>\n","      <td>NaN</td>\n","      <td>309</td>\n","      <td>39</td>\n","      <td>52</td>\n","      <td>43</td>\n","      <td>60</td>\n","      <td>50</td>\n","      <td>65</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>795</th>\n","      <td>719</td>\n","      <td>Diancie</td>\n","      <td>Rock</td>\n","      <td>Fairy</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>100</td>\n","      <td>150</td>\n","      <td>100</td>\n","      <td>150</td>\n","      <td>50</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>796</th>\n","      <td>719</td>\n","      <td>DiancieMega Diancie</td>\n","      <td>Rock</td>\n","      <td>Fairy</td>\n","      <td>700</td>\n","      <td>50</td>\n","      <td>160</td>\n","      <td>110</td>\n","      <td>160</td>\n","      <td>110</td>\n","      <td>110</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>797</th>\n","      <td>720</td>\n","      <td>HoopaHoopa Confined</td>\n","      <td>Psychic</td>\n","      <td>Ghost</td>\n","      <td>600</td>\n","      <td>80</td>\n","      <td>110</td>\n","      <td>60</td>\n","      <td>150</td>\n","      <td>130</td>\n","      <td>70</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>798</th>\n","      <td>720</td>\n","      <td>HoopaHoopa Unbound</td>\n","      <td>Psychic</td>\n","      <td>Dark</td>\n","      <td>680</td>\n","      <td>80</td>\n","      <td>160</td>\n","      <td>60</td>\n","      <td>170</td>\n","      <td>130</td>\n","      <td>80</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>799</th>\n","      <td>721</td>\n","      <td>Volcanion</td>\n","      <td>Fire</td>\n","      <td>Water</td>\n","      <td>600</td>\n","      <td>80</td>\n","      <td>110</td>\n","      <td>120</td>\n","      <td>130</td>\n","      <td>90</td>\n","      <td>70</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>800 rows × 13 columns</p>\n","</div>"],"text/plain":["       #                   Name   Type 1  Type 2  Total  HP  Attack  Defense  \\\n","0      1              Bulbasaur    Grass  Poison    318  45      49       49   \n","1      2                Ivysaur    Grass  Poison    405  60      62       63   \n","2      3               Venusaur    Grass  Poison    525  80      82       83   \n","3      3  VenusaurMega Venusaur    Grass  Poison    625  80     100      123   \n","4      4             Charmander     Fire     NaN    309  39      52       43   \n","..   ...                    ...      ...     ...    ...  ..     ...      ...   \n","795  719                Diancie     Rock   Fairy    600  50     100      150   \n","796  719    DiancieMega Diancie     Rock   Fairy    700  50     160      110   \n","797  720    HoopaHoopa Confined  Psychic   Ghost    600  80     110       60   \n","798  720     HoopaHoopa Unbound  Psychic    Dark    680  80     160       60   \n","799  721              Volcanion     Fire   Water    600  80     110      120   \n","\n","     Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","0         65       65     45           1      False  \n","1         80       80     60           1      False  \n","2        100      100     80           1      False  \n","3        122      120     80           1      False  \n","4         60       50     65           1      False  \n","..       ...      ...    ...         ...        ...  \n","795      100      150     50           6       True  \n","796      160      110    110           6       True  \n","797      150      130     70           6       True  \n","798      170      130     80           6       True  \n","799      130       90     70           6       True  \n","\n","[800 rows x 13 columns]"]},"execution_count":80,"metadata":{},"output_type":"execute_result"}],"source":["df_pokemon = pd.read_csv(\"data/Pokemon.csv\")\n","df_pokemon"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Total\""]},{"cell_type":"code","execution_count":81,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Empty DataFrame\n","Columns: [#, Name, Type 1, Type 2, Total, HP, Attack, Defense, Sp. Atk, Sp. Def, Speed, Generation, Legendary]\n","Index: []"]},"execution_count":81,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"Total\"].quantile(q=0.75) - df_pokemon[\"Total\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Total\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Total\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Total\"] > max) | (df_pokemon[\"Total\"] < min)]\n","atipicos"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"HP\""]},{"cell_type":"code","execution_count":82,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>45</th>\n","      <td>40</td>\n","      <td>Wigglytuff</td>\n","      <td>Normal</td>\n","      <td>Fairy</td>\n","      <td>435</td>\n","      <td>140</td>\n","      <td>70</td>\n","      <td>45</td>\n","      <td>85</td>\n","      <td>50</td>\n","      <td>45</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>121</th>\n","      <td>113</td>\n","      <td>Chansey</td>\n","      <td>Normal</td>\n","      <td>NaN</td>\n","      <td>450</td>\n","      <td>250</td>\n","      <td>5</td>\n","      <td>5</td>\n","      <td>35</td>\n","      <td>105</td>\n","      <td>50</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>142</th>\n","      <td>131</td>\n","      <td>Lapras</td>\n","      <td>Water</td>\n","      <td>Ice</td>\n","      <td>535</td>\n","      <td>130</td>\n","      <td>85</td>\n","      <td>80</td>\n","      <td>85</td>\n","      <td>95</td>\n","      <td>60</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>145</th>\n","      <td>134</td>\n","      <td>Vaporeon</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>525</td>\n","      <td>130</td>\n","      <td>65</td>\n","      <td>60</td>\n","      <td>110</td>\n","      <td>95</td>\n","      <td>65</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>155</th>\n","      <td>143</td>\n","      <td>Snorlax</td>\n","      <td>Normal</td>\n","      <td>NaN</td>\n","      <td>540</td>\n","      <td>160</td>\n","      <td>110</td>\n","      <td>65</td>\n","      <td>65</td>\n","      <td>110</td>\n","      <td>30</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>217</th>\n","      <td>202</td>\n","      <td>Wobbuffet</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>405</td>\n","      <td>190</td>\n","      <td>33</td>\n","      <td>58</td>\n","      <td>33</td>\n","      <td>58</td>\n","      <td>33</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>261</th>\n","      <td>242</td>\n","      <td>Blissey</td>\n","      <td>Normal</td>\n","      <td>NaN</td>\n","      <td>540</td>\n","      <td>255</td>\n","      <td>10</td>\n","      <td>10</td>\n","      <td>75</td>\n","      <td>135</td>\n","      <td>55</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>313</th>\n","      <td>289</td>\n","      <td>Slaking</td>\n","      <td>Normal</td>\n","      <td>NaN</td>\n","      <td>670</td>\n","      <td>150</td>\n","      <td>160</td>\n","      <td>100</td>\n","      <td>95</td>\n","      <td>65</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>316</th>\n","      <td>292</td>\n","      <td>Shedinja</td>\n","      <td>Bug</td>\n","      <td>Ghost</td>\n","      <td>236</td>\n","      <td>1</td>\n","      <td>90</td>\n","      <td>45</td>\n","      <td>30</td>\n","      <td>30</td>\n","      <td>40</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>321</th>\n","      <td>297</td>\n","      <td>Hariyama</td>\n","      <td>Fighting</td>\n","      <td>NaN</td>\n","      <td>474</td>\n","      <td>144</td>\n","      <td>120</td>\n","      <td>60</td>\n","      <td>40</td>\n","      <td>60</td>\n","      <td>50</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>350</th>\n","      <td>320</td>\n","      <td>Wailmer</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>400</td>\n","      <td>130</td>\n","      <td>70</td>\n","      <td>35</td>\n","      <td>70</td>\n","      <td>35</td>\n","      <td>60</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>351</th>\n","      <td>321</td>\n","      <td>Wailord</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>500</td>\n","      <td>170</td>\n","      <td>90</td>\n","      <td>45</td>\n","      <td>90</td>\n","      <td>45</td>\n","      <td>60</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>473</th>\n","      <td>426</td>\n","      <td>Drifblim</td>\n","      <td>Ghost</td>\n","      <td>Flying</td>\n","      <td>498</td>\n","      <td>150</td>\n","      <td>80</td>\n","      <td>44</td>\n","      <td>90</td>\n","      <td>54</td>\n","      <td>80</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>495</th>\n","      <td>446</td>\n","      <td>Munchlax</td>\n","      <td>Normal</td>\n","      <td>NaN</td>\n","      <td>390</td>\n","      <td>135</td>\n","      <td>85</td>\n","      <td>40</td>\n","      <td>40</td>\n","      <td>85</td>\n","      <td>5</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>544</th>\n","      <td>487</td>\n","      <td>GiratinaAltered Forme</td>\n","      <td>Ghost</td>\n","      <td>Dragon</td>\n","      <td>680</td>\n","      <td>150</td>\n","      <td>100</td>\n","      <td>120</td>\n","      <td>100</td>\n","      <td>120</td>\n","      <td>90</td>\n","      <td>4</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>545</th>\n","      <td>487</td>\n","      <td>GiratinaOrigin Forme</td>\n","      <td>Ghost</td>\n","      <td>Dragon</td>\n","      <td>680</td>\n","      <td>150</td>\n","      <td>120</td>\n","      <td>100</td>\n","      <td>120</td>\n","      <td>100</td>\n","      <td>90</td>\n","      <td>4</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>655</th>\n","      <td>594</td>\n","      <td>Alomomola</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>470</td>\n","      <td>165</td>\n","      <td>75</td>\n","      <td>80</td>\n","      <td>40</td>\n","      <td>45</td>\n","      <td>65</td>\n","      <td>5</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>792</th>\n","      <td>716</td>\n","      <td>Xerneas</td>\n","      <td>Fairy</td>\n","      <td>NaN</td>\n","      <td>680</td>\n","      <td>126</td>\n","      <td>131</td>\n","      <td>95</td>\n","      <td>131</td>\n","      <td>98</td>\n","      <td>99</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>793</th>\n","      <td>717</td>\n","      <td>Yveltal</td>\n","      <td>Dark</td>\n","      <td>Flying</td>\n","      <td>680</td>\n","      <td>126</td>\n","      <td>131</td>\n","      <td>95</td>\n","      <td>131</td>\n","      <td>98</td>\n","      <td>99</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #                   Name    Type 1  Type 2  Total   HP  Attack  \\\n","45    40             Wigglytuff    Normal   Fairy    435  140      70   \n","121  113                Chansey    Normal     NaN    450  250       5   \n","142  131                 Lapras     Water     Ice    535  130      85   \n","145  134               Vaporeon     Water     NaN    525  130      65   \n","155  143                Snorlax    Normal     NaN    540  160     110   \n","217  202              Wobbuffet   Psychic     NaN    405  190      33   \n","261  242                Blissey    Normal     NaN    540  255      10   \n","313  289                Slaking    Normal     NaN    670  150     160   \n","316  292               Shedinja       Bug   Ghost    236    1      90   \n","321  297               Hariyama  Fighting     NaN    474  144     120   \n","350  320                Wailmer     Water     NaN    400  130      70   \n","351  321                Wailord     Water     NaN    500  170      90   \n","473  426               Drifblim     Ghost  Flying    498  150      80   \n","495  446               Munchlax    Normal     NaN    390  135      85   \n","544  487  GiratinaAltered Forme     Ghost  Dragon    680  150     100   \n","545  487   GiratinaOrigin Forme     Ghost  Dragon    680  150     120   \n","655  594              Alomomola     Water     NaN    470  165      75   \n","792  716                Xerneas     Fairy     NaN    680  126     131   \n","793  717                Yveltal      Dark  Flying    680  126     131   \n","\n","     Defense  Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","45        45       85       50     45           1      False  \n","121        5       35      105     50           1      False  \n","142       80       85       95     60           1      False  \n","145       60      110       95     65           1      False  \n","155       65       65      110     30           1      False  \n","217       58       33       58     33           2      False  \n","261       10       75      135     55           2      False  \n","313      100       95       65    100           3      False  \n","316       45       30       30     40           3      False  \n","321       60       40       60     50           3      False  \n","350       35       70       35     60           3      False  \n","351       45       90       45     60           3      False  \n","473       44       90       54     80           4      False  \n","495       40       40       85      5           4      False  \n","544      120      100      120     90           4       True  \n","545      100      120      100     90           4       True  \n","655       80       40       45     65           5      False  \n","792       95      131       98     99           6       True  \n","793       95      131       98     99           6       True  "]},"execution_count":82,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"HP\"].quantile(q=0.75) - df_pokemon[\"HP\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"HP\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"HP\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"HP\"] > max) | (df_pokemon[\"HP\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":89,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917323517)>"]},"execution_count":89,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"HP\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Attack\""]},{"cell_type":"code","execution_count":83,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>163</th>\n","      <td>150</td>\n","      <td>MewtwoMega Mewtwo X</td>\n","      <td>Psychic</td>\n","      <td>Fighting</td>\n","      <td>780</td>\n","      <td>106</td>\n","      <td>190</td>\n","      <td>100</td>\n","      <td>154</td>\n","      <td>100</td>\n","      <td>130</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>232</th>\n","      <td>214</td>\n","      <td>HeracrossMega Heracross</td>\n","      <td>Bug</td>\n","      <td>Fighting</td>\n","      <td>600</td>\n","      <td>80</td>\n","      <td>185</td>\n","      <td>115</td>\n","      <td>40</td>\n","      <td>105</td>\n","      <td>75</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>424</th>\n","      <td>383</td>\n","      <td>GroudonPrimal Groudon</td>\n","      <td>Ground</td>\n","      <td>Fire</td>\n","      <td>770</td>\n","      <td>100</td>\n","      <td>180</td>\n","      <td>160</td>\n","      <td>150</td>\n","      <td>90</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>426</th>\n","      <td>384</td>\n","      <td>RayquazaMega Rayquaza</td>\n","      <td>Dragon</td>\n","      <td>Flying</td>\n","      <td>780</td>\n","      <td>105</td>\n","      <td>180</td>\n","      <td>100</td>\n","      <td>180</td>\n","      <td>100</td>\n","      <td>115</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>429</th>\n","      <td>386</td>\n","      <td>DeoxysAttack Forme</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>180</td>\n","      <td>20</td>\n","      <td>180</td>\n","      <td>20</td>\n","      <td>150</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>494</th>\n","      <td>445</td>\n","      <td>GarchompMega Garchomp</td>\n","      <td>Dragon</td>\n","      <td>Ground</td>\n","      <td>700</td>\n","      <td>108</td>\n","      <td>170</td>\n","      <td>115</td>\n","      <td>120</td>\n","      <td>95</td>\n","      <td>92</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>711</th>\n","      <td>646</td>\n","      <td>KyuremBlack Kyurem</td>\n","      <td>Dragon</td>\n","      <td>Ice</td>\n","      <td>700</td>\n","      <td>125</td>\n","      <td>170</td>\n","      <td>100</td>\n","      <td>120</td>\n","      <td>90</td>\n","      <td>95</td>\n","      <td>5</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #                     Name   Type 1    Type 2  Total   HP  Attack  \\\n","163  150      MewtwoMega Mewtwo X  Psychic  Fighting    780  106     190   \n","232  214  HeracrossMega Heracross      Bug  Fighting    600   80     185   \n","424  383    GroudonPrimal Groudon   Ground      Fire    770  100     180   \n","426  384    RayquazaMega Rayquaza   Dragon    Flying    780  105     180   \n","429  386       DeoxysAttack Forme  Psychic       NaN    600   50     180   \n","494  445    GarchompMega Garchomp   Dragon    Ground    700  108     170   \n","711  646       KyuremBlack Kyurem   Dragon       Ice    700  125     170   \n","\n","     Defense  Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","163      100      154      100    130           1       True  \n","232      115       40      105     75           2      False  \n","424      160      150       90     90           3       True  \n","426      100      180      100    115           3       True  \n","429       20      180       20    150           3       True  \n","494      115      120       95     92           4      False  \n","711      100      120       90     95           5       True  "]},"execution_count":83,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"Attack\"].quantile(q=0.75) - df_pokemon[\"Attack\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Attack\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Attack\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Attack\"] > max) | (df_pokemon[\"Attack\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":90,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780881268465)>"]},"execution_count":90,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"Attack\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Defense\""]},{"cell_type":"code","execution_count":84,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>87</th>\n","      <td>80</td>\n","      <td>SlowbroMega Slowbro</td>\n","      <td>Water</td>\n","      <td>Psychic</td>\n","      <td>590</td>\n","      <td>95</td>\n","      <td>75</td>\n","      <td>180</td>\n","      <td>130</td>\n","      <td>80</td>\n","      <td>30</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>98</th>\n","      <td>91</td>\n","      <td>Cloyster</td>\n","      <td>Water</td>\n","      <td>Ice</td>\n","      <td>525</td>\n","      <td>50</td>\n","      <td>95</td>\n","      <td>180</td>\n","      <td>85</td>\n","      <td>45</td>\n","      <td>70</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>103</th>\n","      <td>95</td>\n","      <td>Onix</td>\n","      <td>Rock</td>\n","      <td>Ground</td>\n","      <td>385</td>\n","      <td>35</td>\n","      <td>45</td>\n","      <td>160</td>\n","      <td>30</td>\n","      <td>45</td>\n","      <td>70</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>223</th>\n","      <td>208</td>\n","      <td>Steelix</td>\n","      <td>Steel</td>\n","      <td>Ground</td>\n","      <td>510</td>\n","      <td>75</td>\n","      <td>85</td>\n","      <td>200</td>\n","      <td>55</td>\n","      <td>65</td>\n","      <td>30</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>224</th>\n","      <td>208</td>\n","      <td>SteelixMega Steelix</td>\n","      <td>Steel</td>\n","      <td>Ground</td>\n","      <td>610</td>\n","      <td>75</td>\n","      <td>125</td>\n","      <td>230</td>\n","      <td>55</td>\n","      <td>95</td>\n","      <td>30</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>230</th>\n","      <td>213</td>\n","      <td>Shuckle</td>\n","      <td>Bug</td>\n","      <td>Rock</td>\n","      <td>505</td>\n","      <td>20</td>\n","      <td>10</td>\n","      <td>230</td>\n","      <td>10</td>\n","      <td>230</td>\n","      <td>5</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>332</th>\n","      <td>306</td>\n","      <td>Aggron</td>\n","      <td>Steel</td>\n","      <td>Rock</td>\n","      <td>530</td>\n","      <td>70</td>\n","      <td>110</td>\n","      <td>180</td>\n","      <td>60</td>\n","      <td>60</td>\n","      <td>50</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>333</th>\n","      <td>306</td>\n","      <td>AggronMega Aggron</td>\n","      <td>Steel</td>\n","      <td>NaN</td>\n","      <td>630</td>\n","      <td>70</td>\n","      <td>140</td>\n","      <td>230</td>\n","      <td>60</td>\n","      <td>80</td>\n","      <td>50</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>414</th>\n","      <td>377</td>\n","      <td>Regirock</td>\n","      <td>Rock</td>\n","      <td>NaN</td>\n","      <td>580</td>\n","      <td>80</td>\n","      <td>100</td>\n","      <td>200</td>\n","      <td>50</td>\n","      <td>100</td>\n","      <td>50</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>424</th>\n","      <td>383</td>\n","      <td>GroudonPrimal Groudon</td>\n","      <td>Ground</td>\n","      <td>Fire</td>\n","      <td>770</td>\n","      <td>100</td>\n","      <td>180</td>\n","      <td>160</td>\n","      <td>150</td>\n","      <td>90</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>430</th>\n","      <td>386</td>\n","      <td>DeoxysDefense Forme</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>70</td>\n","      <td>160</td>\n","      <td>70</td>\n","      <td>160</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>456</th>\n","      <td>411</td>\n","      <td>Bastiodon</td>\n","      <td>Rock</td>\n","      <td>Steel</td>\n","      <td>495</td>\n","      <td>60</td>\n","      <td>52</td>\n","      <td>168</td>\n","      <td>47</td>\n","      <td>138</td>\n","      <td>30</td>\n","      <td>4</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>789</th>\n","      <td>713</td>\n","      <td>Avalugg</td>\n","      <td>Ice</td>\n","      <td>NaN</td>\n","      <td>514</td>\n","      <td>95</td>\n","      <td>117</td>\n","      <td>184</td>\n","      <td>44</td>\n","      <td>46</td>\n","      <td>28</td>\n","      <td>6</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #                   Name   Type 1   Type 2  Total   HP  Attack  \\\n","87    80    SlowbroMega Slowbro    Water  Psychic    590   95      75   \n","98    91               Cloyster    Water      Ice    525   50      95   \n","103   95                   Onix     Rock   Ground    385   35      45   \n","223  208                Steelix    Steel   Ground    510   75      85   \n","224  208    SteelixMega Steelix    Steel   Ground    610   75     125   \n","230  213                Shuckle      Bug     Rock    505   20      10   \n","332  306                 Aggron    Steel     Rock    530   70     110   \n","333  306      AggronMega Aggron    Steel      NaN    630   70     140   \n","414  377               Regirock     Rock      NaN    580   80     100   \n","424  383  GroudonPrimal Groudon   Ground     Fire    770  100     180   \n","430  386    DeoxysDefense Forme  Psychic      NaN    600   50      70   \n","456  411              Bastiodon     Rock    Steel    495   60      52   \n","789  713                Avalugg      Ice      NaN    514   95     117   \n","\n","     Defense  Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","87       180      130       80     30           1      False  \n","98       180       85       45     70           1      False  \n","103      160       30       45     70           1      False  \n","223      200       55       65     30           2      False  \n","224      230       55       95     30           2      False  \n","230      230       10      230      5           2      False  \n","332      180       60       60     50           3      False  \n","333      230       60       80     50           3      False  \n","414      200       50      100     50           3       True  \n","424      160      150       90     90           3       True  \n","430      160       70      160     90           3       True  \n","456      168       47      138     30           4      False  \n","789      184       44       46     28           6      False  "]},"execution_count":84,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"Defense\"].quantile(q=0.75) - df_pokemon[\"Defense\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Defense\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Defense\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Defense\"] > max) | (df_pokemon[\"Defense\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":91,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780930349138)>"]},"execution_count":91,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"Defense\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Sp. Atk\""]},{"cell_type":"code","execution_count":85,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>71</th>\n","      <td>65</td>\n","      <td>AlakazamMega Alakazam</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>590</td>\n","      <td>55</td>\n","      <td>50</td>\n","      <td>65</td>\n","      <td>175</td>\n","      <td>95</td>\n","      <td>150</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>102</th>\n","      <td>94</td>\n","      <td>GengarMega Gengar</td>\n","      <td>Ghost</td>\n","      <td>Poison</td>\n","      <td>600</td>\n","      <td>60</td>\n","      <td>65</td>\n","      <td>80</td>\n","      <td>170</td>\n","      <td>95</td>\n","      <td>130</td>\n","      <td>1</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>164</th>\n","      <td>150</td>\n","      <td>MewtwoMega Mewtwo Y</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>780</td>\n","      <td>106</td>\n","      <td>150</td>\n","      <td>70</td>\n","      <td>194</td>\n","      <td>120</td>\n","      <td>140</td>\n","      <td>1</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>196</th>\n","      <td>181</td>\n","      <td>AmpharosMega Ampharos</td>\n","      <td>Electric</td>\n","      <td>Dragon</td>\n","      <td>610</td>\n","      <td>90</td>\n","      <td>95</td>\n","      <td>105</td>\n","      <td>165</td>\n","      <td>110</td>\n","      <td>45</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>306</th>\n","      <td>282</td>\n","      <td>GardevoirMega Gardevoir</td>\n","      <td>Psychic</td>\n","      <td>Fairy</td>\n","      <td>618</td>\n","      <td>68</td>\n","      <td>85</td>\n","      <td>65</td>\n","      <td>165</td>\n","      <td>135</td>\n","      <td>100</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>422</th>\n","      <td>382</td>\n","      <td>KyogrePrimal Kyogre</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>770</td>\n","      <td>100</td>\n","      <td>150</td>\n","      <td>90</td>\n","      <td>180</td>\n","      <td>160</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>426</th>\n","      <td>384</td>\n","      <td>RayquazaMega Rayquaza</td>\n","      <td>Dragon</td>\n","      <td>Flying</td>\n","      <td>780</td>\n","      <td>105</td>\n","      <td>180</td>\n","      <td>100</td>\n","      <td>180</td>\n","      <td>100</td>\n","      <td>115</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>429</th>\n","      <td>386</td>\n","      <td>DeoxysAttack Forme</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>180</td>\n","      <td>20</td>\n","      <td>180</td>\n","      <td>20</td>\n","      <td>150</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>712</th>\n","      <td>646</td>\n","      <td>KyuremWhite Kyurem</td>\n","      <td>Dragon</td>\n","      <td>Ice</td>\n","      <td>700</td>\n","      <td>125</td>\n","      <td>120</td>\n","      <td>90</td>\n","      <td>170</td>\n","      <td>100</td>\n","      <td>95</td>\n","      <td>5</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>798</th>\n","      <td>720</td>\n","      <td>HoopaHoopa Unbound</td>\n","      <td>Psychic</td>\n","      <td>Dark</td>\n","      <td>680</td>\n","      <td>80</td>\n","      <td>160</td>\n","      <td>60</td>\n","      <td>170</td>\n","      <td>130</td>\n","      <td>80</td>\n","      <td>6</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #                     Name    Type 1  Type 2  Total   HP  Attack  \\\n","71    65    AlakazamMega Alakazam   Psychic     NaN    590   55      50   \n","102   94        GengarMega Gengar     Ghost  Poison    600   60      65   \n","164  150      MewtwoMega Mewtwo Y   Psychic     NaN    780  106     150   \n","196  181    AmpharosMega Ampharos  Electric  Dragon    610   90      95   \n","306  282  GardevoirMega Gardevoir   Psychic   Fairy    618   68      85   \n","422  382      KyogrePrimal Kyogre     Water     NaN    770  100     150   \n","426  384    RayquazaMega Rayquaza    Dragon  Flying    780  105     180   \n","429  386       DeoxysAttack Forme   Psychic     NaN    600   50     180   \n","712  646       KyuremWhite Kyurem    Dragon     Ice    700  125     120   \n","798  720       HoopaHoopa Unbound   Psychic    Dark    680   80     160   \n","\n","     Defense  Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","71        65      175       95    150           1      False  \n","102       80      170       95    130           1      False  \n","164       70      194      120    140           1       True  \n","196      105      165      110     45           2      False  \n","306       65      165      135    100           3      False  \n","422       90      180      160     90           3       True  \n","426      100      180      100    115           3       True  \n","429       20      180       20    150           3       True  \n","712       90      170      100     95           5       True  \n","798       60      170      130     80           6       True  "]},"execution_count":85,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"Sp. Atk\"].quantile(q=0.75) - df_pokemon[\"Sp. Atk\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Sp. Atk\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Sp. Atk\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Sp. Atk\"] > max) | (df_pokemon[\"Sp. Atk\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":92,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917337619)>"]},"execution_count":92,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"Sp. Atk\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Sp. Def\""]},{"cell_type":"code","execution_count":86,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>230</th>\n","      <td>213</td>\n","      <td>Shuckle</td>\n","      <td>Bug</td>\n","      <td>Rock</td>\n","      <td>505</td>\n","      <td>20</td>\n","      <td>10</td>\n","      <td>230</td>\n","      <td>10</td>\n","      <td>230</td>\n","      <td>5</td>\n","      <td>2</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>269</th>\n","      <td>249</td>\n","      <td>Lugia</td>\n","      <td>Psychic</td>\n","      <td>Flying</td>\n","      <td>680</td>\n","      <td>106</td>\n","      <td>90</td>\n","      <td>130</td>\n","      <td>90</td>\n","      <td>154</td>\n","      <td>110</td>\n","      <td>2</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>270</th>\n","      <td>250</td>\n","      <td>Ho-oh</td>\n","      <td>Fire</td>\n","      <td>Flying</td>\n","      <td>680</td>\n","      <td>106</td>\n","      <td>130</td>\n","      <td>90</td>\n","      <td>110</td>\n","      <td>154</td>\n","      <td>90</td>\n","      <td>2</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>415</th>\n","      <td>378</td>\n","      <td>Regice</td>\n","      <td>Ice</td>\n","      <td>NaN</td>\n","      <td>580</td>\n","      <td>80</td>\n","      <td>50</td>\n","      <td>100</td>\n","      <td>100</td>\n","      <td>200</td>\n","      <td>50</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>422</th>\n","      <td>382</td>\n","      <td>KyogrePrimal Kyogre</td>\n","      <td>Water</td>\n","      <td>NaN</td>\n","      <td>770</td>\n","      <td>100</td>\n","      <td>150</td>\n","      <td>90</td>\n","      <td>180</td>\n","      <td>160</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>430</th>\n","      <td>386</td>\n","      <td>DeoxysDefense Forme</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>70</td>\n","      <td>160</td>\n","      <td>70</td>\n","      <td>160</td>\n","      <td>90</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","    <tr>\n","      <th>739</th>\n","      <td>671</td>\n","      <td>Florges</td>\n","      <td>Fairy</td>\n","      <td>NaN</td>\n","      <td>552</td>\n","      <td>78</td>\n","      <td>65</td>\n","      <td>68</td>\n","      <td>112</td>\n","      <td>154</td>\n","      <td>75</td>\n","      <td>6</td>\n","      <td>False</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #                 Name   Type 1  Type 2  Total   HP  Attack  Defense  \\\n","230  213              Shuckle      Bug    Rock    505   20      10      230   \n","269  249                Lugia  Psychic  Flying    680  106      90      130   \n","270  250                Ho-oh     Fire  Flying    680  106     130       90   \n","415  378               Regice      Ice     NaN    580   80      50      100   \n","422  382  KyogrePrimal Kyogre    Water     NaN    770  100     150       90   \n","430  386  DeoxysDefense Forme  Psychic     NaN    600   50      70      160   \n","739  671              Florges    Fairy     NaN    552   78      65       68   \n","\n","     Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","230       10      230      5           2      False  \n","269       90      154    110           2       True  \n","270      110      154     90           2       True  \n","415      100      200     50           3       True  \n","422      180      160     90           3       True  \n","430       70      160     90           3       True  \n","739      112      154     75           6      False  "]},"execution_count":86,"metadata":{},"output_type":"execute_result"}],"source":["iqr = df_pokemon[\"Sp. Def\"].quantile(q=0.75) - df_pokemon[\"Sp. Def\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Sp. Def\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Sp. Def\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Sp. Def\"] > max) | (df_pokemon[\"Sp. Def\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":93,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780910360694)>"]},"execution_count":93,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"Sp. Def\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{},"source":["* Columna \"Speed\""]},{"cell_type":"code","execution_count":87,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>#</th>\n","      <th>Name</th>\n","      <th>Type 1</th>\n","      <th>Type 2</th>\n","      <th>Total</th>\n","      <th>HP</th>\n","      <th>Attack</th>\n","      <th>Defense</th>\n","      <th>Sp. Atk</th>\n","      <th>Sp. Def</th>\n","      <th>Speed</th>\n","      <th>Generation</th>\n","      <th>Legendary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>315</th>\n","      <td>291</td>\n","      <td>Ninjask</td>\n","      <td>Bug</td>\n","      <td>Flying</td>\n","      <td>456</td>\n","      <td>61</td>\n","      <td>90</td>\n","      <td>45</td>\n","      <td>50</td>\n","      <td>50</td>\n","      <td>160</td>\n","      <td>3</td>\n","      <td>False</td>\n","    </tr>\n","    <tr>\n","      <th>431</th>\n","      <td>386</td>\n","      <td>DeoxysSpeed Forme</td>\n","      <td>Psychic</td>\n","      <td>NaN</td>\n","      <td>600</td>\n","      <td>50</td>\n","      <td>95</td>\n","      <td>90</td>\n","      <td>95</td>\n","      <td>90</td>\n","      <td>180</td>\n","      <td>3</td>\n","      <td>True</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       #               Name   Type 1  Type 2  Total  HP  Attack  Defense  \\\n","315  291            Ninjask      Bug  Flying    456  61      90       45   \n","431  386  DeoxysSpeed Forme  Psychic     NaN    600  50      95       90   \n","\n","     Sp. Atk  Sp. Def  Speed  Generation  Legendary  \n","315       50       50    160           3      False  \n","431       95       90    180           3       True  "]},"execution_count":87,"metadata":{},"output_type":"execute_result"}],"source":["\t\n","\n","iqr = df_pokemon[\"Speed\"].quantile(q=0.75) - df_pokemon[\"Speed\"].quantile(q=0.25)\n","\n","max = df_pokemon[\"Speed\"].quantile(q=0.75) + 1.5 * iqr\n","min = df_pokemon[\"Speed\"].quantile(q=0.25) - 1.5 * iqr\n","\n","atipicos = df_pokemon[(df_pokemon[\"Speed\"] > max) | (df_pokemon[\"Speed\"] < min)]\n","atipicos"]},{"cell_type":"code","execution_count":94,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917413548)>"]},"execution_count":94,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)+\n"," aes(y=\"Speed\")+\n"," geom_boxplot(aes(x=0))+\n"," stat_boxplot(aes(x=0),geom=\"errorbar\",width=0.05)+\n"," geom_point(aes(x=1),color=\"red\",alpha=0.2,size=2)+\n"," scale_x_continuous(breaks=None)+\n"," xlab(\"\")+\n"," theme_xkcd()+\n"," coord_flip()\n",")\n","\n"]},{"cell_type":"markdown","metadata":{"id":"IFFoc8Kz2zKB"},"source":["## Pregunta 5\n","\n","* Analice el comportamiento de dos columnas numericas, ¿que puede decir al respecto? ¿existe alguna relación?"]},{"cell_type":"code","execution_count":103,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780858131453)>"]},"execution_count":103,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_pokemon)\n","+aes(x=\"Attack\",y=\"Defense\")\n","+geom_point(size=4)+\n","theme_xkcd()\n",") "]},{"cell_type":"markdown","metadata":{"id":"_GQ95l4f228n"},"source":["## Pregunta 6\n","\n","* Haga un estudio completo de los datos de nba, pruebe los tipos de datos, haga limpieza si es necesario, comente como se comportan los datos, etc. (todo lo que se ha visto hasta el momento en el curso)."]},{"cell_type":"code","execution_count":106,"metadata":{"id":"-5JkyFju24WL"},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Name</th>\n","      <th>Team</th>\n","      <th>Number</th>\n","      <th>Position</th>\n","      <th>Age</th>\n","      <th>Height</th>\n","      <th>Weight</th>\n","      <th>College</th>\n","      <th>Salary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Avery Bradley</td>\n","      <td>Boston Celtics</td>\n","      <td>0.0</td>\n","      <td>PG</td>\n","      <td>25.0</td>\n","      <td>6-2</td>\n","      <td>180.0</td>\n","      <td>Texas</td>\n","      <td>7730337.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Jae Crowder</td>\n","      <td>Boston Celtics</td>\n","      <td>99.0</td>\n","      <td>SF</td>\n","      <td>25.0</td>\n","      <td>6-6</td>\n","      <td>235.0</td>\n","      <td>Marquette</td>\n","      <td>6796117.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>John Holland</td>\n","      <td>Boston Celtics</td>\n","      <td>30.0</td>\n","      <td>SG</td>\n","      <td>27.0</td>\n","      <td>6-5</td>\n","      <td>205.0</td>\n","      <td>Boston University</td>\n","      <td>NaN</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>R.J. Hunter</td>\n","      <td>Boston Celtics</td>\n","      <td>28.0</td>\n","      <td>SG</td>\n","      <td>22.0</td>\n","      <td>6-5</td>\n","      <td>185.0</td>\n","      <td>Georgia State</td>\n","      <td>1148640.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>Jonas Jerebko</td>\n","      <td>Boston Celtics</td>\n","      <td>8.0</td>\n","      <td>PF</td>\n","      <td>29.0</td>\n","      <td>6-10</td>\n","      <td>231.0</td>\n","      <td>NaN</td>\n","      <td>5000000.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>453</th>\n","      <td>Shelvin Mack</td>\n","      <td>Utah Jazz</td>\n","      <td>8.0</td>\n","      <td>PG</td>\n","      <td>26.0</td>\n","      <td>6-3</td>\n","      <td>203.0</td>\n","      <td>Butler</td>\n","      <td>2433333.0</td>\n","    </tr>\n","    <tr>\n","      <th>454</th>\n","      <td>Raul Neto</td>\n","      <td>Utah Jazz</td>\n","      <td>25.0</td>\n","      <td>PG</td>\n","      <td>24.0</td>\n","      <td>6-1</td>\n","      <td>179.0</td>\n","      <td>NaN</td>\n","      <td>900000.0</td>\n","    </tr>\n","    <tr>\n","      <th>455</th>\n","      <td>Tibor Pleiss</td>\n","      <td>Utah Jazz</td>\n","      <td>21.0</td>\n","      <td>C</td>\n","      <td>26.0</td>\n","      <td>7-3</td>\n","      <td>256.0</td>\n","      <td>NaN</td>\n","      <td>2900000.0</td>\n","    </tr>\n","    <tr>\n","      <th>456</th>\n","      <td>Jeff Withey</td>\n","      <td>Utah Jazz</td>\n","      <td>24.0</td>\n","      <td>C</td>\n","      <td>26.0</td>\n","      <td>7-0</td>\n","      <td>231.0</td>\n","      <td>Kansas</td>\n","      <td>947276.0</td>\n","    </tr>\n","    <tr>\n","      <th>457</th>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","      <td>NaN</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>458 rows × 9 columns</p>\n","</div>"],"text/plain":["              Name            Team  Number Position   Age Height  Weight  \\\n","0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n","1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n","2     John Holland  Boston Celtics    30.0       SG  27.0    6-5   205.0   \n","3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n","4    Jonas Jerebko  Boston Celtics     8.0       PF  29.0   6-10   231.0   \n","..             ...             ...     ...      ...   ...    ...     ...   \n","453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n","454      Raul Neto       Utah Jazz    25.0       PG  24.0    6-1   179.0   \n","455   Tibor Pleiss       Utah Jazz    21.0        C  26.0    7-3   256.0   \n","456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n","457            NaN             NaN     NaN      NaN   NaN    NaN     NaN   \n","\n","               College     Salary  \n","0                Texas  7730337.0  \n","1            Marquette  6796117.0  \n","2    Boston University        NaN  \n","3        Georgia State  1148640.0  \n","4                  NaN  5000000.0  \n","..                 ...        ...  \n","453             Butler  2433333.0  \n","454                NaN   900000.0  \n","455                NaN  2900000.0  \n","456             Kansas   947276.0  \n","457                NaN        NaN  \n","\n","[458 rows x 9 columns]"]},"execution_count":106,"metadata":{},"output_type":"execute_result"}],"source":["df_nba = pd.read_csv(\"data/nba.csv\")\n","df_nba"]},{"cell_type":"code","execution_count":107,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 458 entries, 0 to 457\n","Data columns (total 9 columns):\n"," #   Column    Non-Null Count  Dtype  \n","---  ------    --------------  -----  \n"," 0   Name      457 non-null    object \n"," 1   Team      457 non-null    object \n"," 2   Number    457 non-null    float64\n"," 3   Position  457 non-null    object \n"," 4   Age       457 non-null    float64\n"," 5   Height    457 non-null    object \n"," 6   Weight    457 non-null    float64\n"," 7   College   373 non-null    object \n"," 8   Salary    446 non-null    float64\n","dtypes: float64(4), object(5)\n","memory usage: 32.3+ KB\n"]}],"source":["df_nba.info()"]},{"cell_type":"code","execution_count":108,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Name         1\n","Team         1\n","Number       1\n","Position     1\n","Age          1\n","Height       1\n","Weight       1\n","College     85\n","Salary      12\n","dtype: int64\n"]}],"source":["print(df_nba.isnull().sum())"]},{"cell_type":"code","execution_count":109,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Name</th>\n","      <th>Team</th>\n","      <th>Number</th>\n","      <th>Position</th>\n","      <th>Age</th>\n","      <th>Height</th>\n","      <th>Weight</th>\n","      <th>College</th>\n","      <th>Salary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Avery Bradley</td>\n","      <td>Boston Celtics</td>\n","      <td>0.0</td>\n","      <td>PG</td>\n","      <td>25.0</td>\n","      <td>6-2</td>\n","      <td>180.0</td>\n","      <td>Texas</td>\n","      <td>7730337.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Jae Crowder</td>\n","      <td>Boston Celtics</td>\n","      <td>99.0</td>\n","      <td>SF</td>\n","      <td>25.0</td>\n","      <td>6-6</td>\n","      <td>235.0</td>\n","      <td>Marquette</td>\n","      <td>6796117.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>R.J. Hunter</td>\n","      <td>Boston Celtics</td>\n","      <td>28.0</td>\n","      <td>SG</td>\n","      <td>22.0</td>\n","      <td>6-5</td>\n","      <td>185.0</td>\n","      <td>Georgia State</td>\n","      <td>1148640.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Jordan Mickey</td>\n","      <td>Boston Celtics</td>\n","      <td>55.0</td>\n","      <td>PF</td>\n","      <td>21.0</td>\n","      <td>6-8</td>\n","      <td>235.0</td>\n","      <td>LSU</td>\n","      <td>1170960.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Kelly Olynyk</td>\n","      <td>Boston Celtics</td>\n","      <td>41.0</td>\n","      <td>C</td>\n","      <td>25.0</td>\n","      <td>7-0</td>\n","      <td>238.0</td>\n","      <td>Gonzaga</td>\n","      <td>2165160.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>449</th>\n","      <td>Rodney Hood</td>\n","      <td>Utah Jazz</td>\n","      <td>5.0</td>\n","      <td>SG</td>\n","      <td>23.0</td>\n","      <td>6-8</td>\n","      <td>206.0</td>\n","      <td>Duke</td>\n","      <td>1348440.0</td>\n","    </tr>\n","    <tr>\n","      <th>451</th>\n","      <td>Chris Johnson</td>\n","      <td>Utah Jazz</td>\n","      <td>23.0</td>\n","      <td>SF</td>\n","      <td>26.0</td>\n","      <td>6-6</td>\n","      <td>206.0</td>\n","      <td>Dayton</td>\n","      <td>981348.0</td>\n","    </tr>\n","    <tr>\n","      <th>452</th>\n","      <td>Trey Lyles</td>\n","      <td>Utah Jazz</td>\n","      <td>41.0</td>\n","      <td>PF</td>\n","      <td>20.0</td>\n","      <td>6-10</td>\n","      <td>234.0</td>\n","      <td>Kentucky</td>\n","      <td>2239800.0</td>\n","    </tr>\n","    <tr>\n","      <th>453</th>\n","      <td>Shelvin Mack</td>\n","      <td>Utah Jazz</td>\n","      <td>8.0</td>\n","      <td>PG</td>\n","      <td>26.0</td>\n","      <td>6-3</td>\n","      <td>203.0</td>\n","      <td>Butler</td>\n","      <td>2433333.0</td>\n","    </tr>\n","    <tr>\n","      <th>456</th>\n","      <td>Jeff Withey</td>\n","      <td>Utah Jazz</td>\n","      <td>24.0</td>\n","      <td>C</td>\n","      <td>26.0</td>\n","      <td>7-0</td>\n","      <td>231.0</td>\n","      <td>Kansas</td>\n","      <td>947276.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>364 rows × 9 columns</p>\n","</div>"],"text/plain":["              Name            Team  Number Position   Age Height  Weight  \\\n","0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n","1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n","3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n","6    Jordan Mickey  Boston Celtics    55.0       PF  21.0    6-8   235.0   \n","7     Kelly Olynyk  Boston Celtics    41.0        C  25.0    7-0   238.0   \n","..             ...             ...     ...      ...   ...    ...     ...   \n","449    Rodney Hood       Utah Jazz     5.0       SG  23.0    6-8   206.0   \n","451  Chris Johnson       Utah Jazz    23.0       SF  26.0    6-6   206.0   \n","452     Trey Lyles       Utah Jazz    41.0       PF  20.0   6-10   234.0   \n","453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n","456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n","\n","           College     Salary  \n","0            Texas  7730337.0  \n","1        Marquette  6796117.0  \n","3    Georgia State  1148640.0  \n","6              LSU  1170960.0  \n","7          Gonzaga  2165160.0  \n","..             ...        ...  \n","449           Duke  1348440.0  \n","451         Dayton   981348.0  \n","452       Kentucky  2239800.0  \n","453         Butler  2433333.0  \n","456         Kansas   947276.0  \n","\n","[364 rows x 9 columns]"]},"execution_count":109,"metadata":{},"output_type":"execute_result"}],"source":["#Como existen datos nulos, procederemosa eliminarlos\n","\n","df_nba = df_nba.dropna()\n","df_nba\n"]},{"cell_type":"code","execution_count":110,"metadata":{},"outputs":[{"name":"stdout","output_type":"stream","text":["Name        0\n","Team        0\n","Number      0\n","Position    0\n","Age         0\n","Height      0\n","Weight      0\n","College     0\n","Salary      0\n","dtype: int64\n"]}],"source":["print(df_nba.loc[df_nba.duplicated()].count()) "]},{"cell_type":"code","execution_count":114,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Name</th>\n","      <th>Team</th>\n","      <th>Number</th>\n","      <th>Position</th>\n","      <th>Age</th>\n","      <th>Height</th>\n","      <th>Weight</th>\n","      <th>College</th>\n","      <th>Salary</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>Avery Bradley</td>\n","      <td>Boston Celtics</td>\n","      <td>0.0</td>\n","      <td>PG</td>\n","      <td>25.0</td>\n","      <td>6-2</td>\n","      <td>180.0</td>\n","      <td>Texas</td>\n","      <td>7730337.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>Jae Crowder</td>\n","      <td>Boston Celtics</td>\n","      <td>99.0</td>\n","      <td>SF</td>\n","      <td>25.0</td>\n","      <td>6-6</td>\n","      <td>235.0</td>\n","      <td>Marquette</td>\n","      <td>6796117.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>R.J. Hunter</td>\n","      <td>Boston Celtics</td>\n","      <td>28.0</td>\n","      <td>SG</td>\n","      <td>22.0</td>\n","      <td>6-5</td>\n","      <td>185.0</td>\n","      <td>Georgia State</td>\n","      <td>1148640.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>Jordan Mickey</td>\n","      <td>Boston Celtics</td>\n","      <td>55.0</td>\n","      <td>PF</td>\n","      <td>21.0</td>\n","      <td>6-8</td>\n","      <td>235.0</td>\n","      <td>LSU</td>\n","      <td>1170960.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>Kelly Olynyk</td>\n","      <td>Boston Celtics</td>\n","      <td>41.0</td>\n","      <td>C</td>\n","      <td>25.0</td>\n","      <td>7-0</td>\n","      <td>238.0</td>\n","      <td>Gonzaga</td>\n","      <td>2165160.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>449</th>\n","      <td>Rodney Hood</td>\n","      <td>Utah Jazz</td>\n","      <td>5.0</td>\n","      <td>SG</td>\n","      <td>23.0</td>\n","      <td>6-8</td>\n","      <td>206.0</td>\n","      <td>Duke</td>\n","      <td>1348440.0</td>\n","    </tr>\n","    <tr>\n","      <th>451</th>\n","      <td>Chris Johnson</td>\n","      <td>Utah Jazz</td>\n","      <td>23.0</td>\n","      <td>SF</td>\n","      <td>26.0</td>\n","      <td>6-6</td>\n","      <td>206.0</td>\n","      <td>Dayton</td>\n","      <td>981348.0</td>\n","    </tr>\n","    <tr>\n","      <th>452</th>\n","      <td>Trey Lyles</td>\n","      <td>Utah Jazz</td>\n","      <td>41.0</td>\n","      <td>PF</td>\n","      <td>20.0</td>\n","      <td>6-10</td>\n","      <td>234.0</td>\n","      <td>Kentucky</td>\n","      <td>2239800.0</td>\n","    </tr>\n","    <tr>\n","      <th>453</th>\n","      <td>Shelvin Mack</td>\n","      <td>Utah Jazz</td>\n","      <td>8.0</td>\n","      <td>PG</td>\n","      <td>26.0</td>\n","      <td>6-3</td>\n","      <td>203.0</td>\n","      <td>Butler</td>\n","      <td>2433333.0</td>\n","    </tr>\n","    <tr>\n","      <th>456</th>\n","      <td>Jeff Withey</td>\n","      <td>Utah Jazz</td>\n","      <td>24.0</td>\n","      <td>C</td>\n","      <td>26.0</td>\n","      <td>7-0</td>\n","      <td>231.0</td>\n","      <td>Kansas</td>\n","      <td>947276.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>364 rows × 9 columns</p>\n","</div>"],"text/plain":["              Name            Team  Number Position   Age Height  Weight  \\\n","0    Avery Bradley  Boston Celtics     0.0       PG  25.0    6-2   180.0   \n","1      Jae Crowder  Boston Celtics    99.0       SF  25.0    6-6   235.0   \n","3      R.J. Hunter  Boston Celtics    28.0       SG  22.0    6-5   185.0   \n","6    Jordan Mickey  Boston Celtics    55.0       PF  21.0    6-8   235.0   \n","7     Kelly Olynyk  Boston Celtics    41.0        C  25.0    7-0   238.0   \n","..             ...             ...     ...      ...   ...    ...     ...   \n","449    Rodney Hood       Utah Jazz     5.0       SG  23.0    6-8   206.0   \n","451  Chris Johnson       Utah Jazz    23.0       SF  26.0    6-6   206.0   \n","452     Trey Lyles       Utah Jazz    41.0       PF  20.0   6-10   234.0   \n","453   Shelvin Mack       Utah Jazz     8.0       PG  26.0    6-3   203.0   \n","456    Jeff Withey       Utah Jazz    24.0        C  26.0    7-0   231.0   \n","\n","           College     Salary  \n","0            Texas  7730337.0  \n","1        Marquette  6796117.0  \n","3    Georgia State  1148640.0  \n","6              LSU  1170960.0  \n","7          Gonzaga  2165160.0  \n","..             ...        ...  \n","449           Duke  1348440.0  \n","451         Dayton   981348.0  \n","452       Kentucky  2239800.0  \n","453         Butler  2433333.0  \n","456         Kansas   947276.0  \n","\n","[364 rows x 9 columns]"]},"execution_count":114,"metadata":{},"output_type":"execute_result"}],"source":["df_nba"]},{"cell_type":"markdown","metadata":{},"source":["* Las variables numericas en este caso es la edad y la altura, veamos como se comportan"]},{"cell_type":"code","execution_count":117,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Age</th>\n","      <th>Weight</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>25.0</td>\n","      <td>180.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>25.0</td>\n","      <td>235.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>22.0</td>\n","      <td>185.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>21.0</td>\n","      <td>235.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>25.0</td>\n","      <td>238.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    Age  Weight\n","0  25.0   180.0\n","1  25.0   235.0\n","3  22.0   185.0\n","6  21.0   235.0\n","7  25.0   238.0"]},"execution_count":117,"metadata":{},"output_type":"execute_result"}],"source":["df_num = df_nba[[\"Age\",\"Weight\"]]\n","df_num.head()"]},{"cell_type":"code","execution_count":120,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.8/dist-packages/plotnine/stats/stat_bin.py:95: PlotnineWarning: 'stat_bin()' using 'bins = 15'. Pick better value with 'binwidth'.\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780917291120)>"]},"execution_count":120,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_num)+\n"," aes(x=\"Age\")+\n"," geom_histogram(color=\"red\",fill=\"red\",alpha=0.5)+ \n"," theme_linedraw()+\n"," ggtitle(\"Histograma Edad de jugadores\")+\n"," xlab(\"Edades\")+\n"," ylab(\"Frecuencia\")\n",")"]},{"cell_type":"code","execution_count":121,"metadata":{},"outputs":[{"name":"stderr","output_type":"stream","text":["/usr/local/lib/python3.8/dist-packages/plotnine/stats/stat_bin.py:95: PlotnineWarning: 'stat_bin()' using 'bins = 11'. Pick better value with 'binwidth'.\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/plain":["<ggplot: (8780857209558)>"]},"execution_count":121,"metadata":{},"output_type":"execute_result"}],"source":["(ggplot(df_num)+\n"," aes(x=\"Weight\")+\n"," geom_histogram(color=\"red\",fill=\"red\",alpha=0.5)+ \n"," theme_linedraw()+\n"," ggtitle(\"Histograma Edad de jugadores\")+\n"," xlab(\"Edades\")+\n"," ylab(\"Frecuencia\")\n",")"]},{"cell_type":"markdown","metadata":{},"source":["* La distribución de los datos se ve claramente, donde en la edad notamos edades jóvenes y en la altura vemos que superan los 2 m. "]}],"metadata":{"colab":{"collapsed_sections":["rzFSl9PK2vTL","KRLBPniQ2w4S","IFFoc8Kz2zKB","Y2vm_UFW20mg","_GQ95l4f228n"],"provenance":[],"toc_visible":true},"kernelspec":{"display_name":"Python 3.8.10 64-bit","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.8.10"},"vscode":{"interpreter":{"hash":"916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"}}},"nbformat":4,"nbformat_minor":0}