diff --git a/.ipynb_checkpoints/1_Data_Exploration_&_Basic_Cleaning-checkpoint.ipynb b/.ipynb_checkpoints/1_Data_Exploration_&_Basic_Cleaning-checkpoint.ipynb new file mode 100644 index 0000000..1a6ec5c --- /dev/null +++ b/.ipynb_checkpoints/1_Data_Exploration_&_Basic_Cleaning-checkpoint.ipynb @@ -0,0 +1,1219 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "bd627f17", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "eb1bcb8e", + "metadata": {}, + "source": [ + "### Cargamos los datos." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4394824b", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('data/measurements.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "37bdb0ae", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type \\\n", + "0 False False True False True False True \n", + "1 False False True False True False True \n", + "2 False False True False True False True \n", + "3 False False True False True False True \n", + "4 False False True False True False True \n", + ".. ... ... ... ... ... ... ... \n", + "383 False False True False True False True \n", + "384 False False True False True True True \n", + "385 False False True False True False True \n", + "386 False False True False True True True \n", + "387 False False True False True True True \n", + "\n", + " AC rain sun refill liters refill gas \n", + "0 True True True False True \n", + "1 True True True False False \n", + "2 True True True False False \n", + "3 True True True False False \n", + "4 True True True False False \n", + ".. ... ... ... ... ... \n", + "383 True True True False False \n", + "384 True True True False False \n", + "385 True True True False False \n", + "386 True True True False False \n", + "387 True True True False False \n", + "\n", + "[388 rows x 12 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2 == data" + ] + }, + { + "cell_type": "markdown", + "id": "e63d12fb", + "metadata": {}, + "source": [ + "Los DataFrames no son exactamente iguales. Parece que lo que ocurre es que contienen la misma información, pero en diferente tipo de datos (dígitos en string vs. float, por ejemplo).\n", + "\n", + "Profundizaremos un poco más en las características de los datos y, si comprobamos que nuestras sospechas se cumplen, nos quedaremos con el dataset que más nos convenga (el que requiera de una limpieza menor para empezar a trabajar)." + ] + }, + { + "cell_type": "markdown", + "id": "501f1747", + "metadata": {}, + "source": [ + "### Exploración y limpieza básica inicial." + ] + }, + { + "cell_type": "markdown", + "id": "7e3e524d", + "metadata": {}, + "source": [ + "Iremos chequeando lo mismo para los dos datasets para poder compararlos." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "59c98ea9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "07b38a3e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c4d5dde2", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null object\n", + " 1 consume 388 non-null object\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null object\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object\n", + " 6 gas_type 388 non-null object\n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null object\n", + " 11 refill gas 13 non-null object\n", + "dtypes: int64(5), object(7)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bcb42ac8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "ae1b526e", + "metadata": {}, + "source": [ + "Observamos como los dos datasets tienen el mismo shape y las mismas columnas.\n", + "\n", + "La diferencia entre ambos es el tipo de datos que contienen cada columna. Mientras en data2 las columnas numéricas son de tipo float; en data esta columnas son tipo object (contienen strings). Todo indica a que este dataset es una variación del primero como resultado de diferentes procesos de limpieza básica. Evidentemente nos interesa tener ya los datos en el tipo adecuado, por lo que trabajaremos sobre **data2**." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "664841d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "ffd98121", + "metadata": {}, + "source": [ + "Encontramos dos columnas con muy pocos valores no nulos (13 sobre 388; 3,35% de los datos).\n", + "\n", + "Probablemente lo más apropiado sea eliminar estas columnas ('refill liters' y 'refill gas') ya que no tenemos manera de manejar los datos nulos).\n", + "También encontramos muchos valores nulos en la columna 'specials', pero la proporción sobre el total de registros no es tan elevada, por lo que deberemos estudiar mejor la situación respecto a esta columna." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6c541ffa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "45.0 2\n", + "37.7 2\n", + "39.0 2\n", + "37.6 1\n", + "38.0 1\n", + "38.3 1\n", + "10.0 1\n", + "41.0 1\n", + "37.0 1\n", + "37.2 1\n", + "Name: refill liters, dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2['refill liters'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "633ed8f2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SP98 8\n", + "E10 5\n", + "Name: refill gas, dtype: int64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2['refill gas'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "cd7bb027", + "metadata": {}, + "outputs": [], + "source": [ + "# Eliminamos estas 2 columnas ya que no podemos identificar el valor que aportan al dataset.\n", + "\n", + "data2.drop(columns = ['refill liters', 'refill gas'], inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "7d932290", + "metadata": {}, + "source": [ + "**Analizamos la situación de 'specials'.**" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "e560a9a6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "rain 32\n", + "sun 27\n", + "AC rain 9\n", + "ac 8\n", + "AC 6\n", + "snow 3\n", + "sun ac 3\n", + "AC snow 1\n", + "half rain half sun 1\n", + "AC sun 1\n", + "AC Sun 1\n", + "ac rain 1\n", + "Name: specials, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.specials.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "6d6dc2cb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['distance', 'consume', 'speed', 'temp_inside', 'temp_outside',\n", + " 'specials', 'gas_type', 'AC', 'rain', 'sun'],\n", + " dtype='object')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5b5293c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 358\n", + "1 30\n", + "Name: AC, dtype: int64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.AC.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "f36bdedf", + "metadata": {}, + "source": [ + "Nos damos cuenta de que los valores no nulos de esta columna se relacionan con otras columnas del DataFrame. ('AC', 'rain' y 'sun').\n", + "\n", + "Lo que se ha hecho (antes de entregarnos los datos) ha sido generar variables ficticias (dummies) en función del contenido de 'specials': el valor de estas columnas es 0 o 1 en función de si aparece 'AC', 'rain' o 'sun' en la columna 'specials'.\n", + "\n", + "Por tanto, podemos eliminar la columna 'specials' ya que la información que nos aporta está recogida en los datos de las tres columnas anteriormente mencionadas." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "3fd863cc", + "metadata": {}, + "outputs": [], + "source": [ + "data2.drop('specials', axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "28d7a489", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type AC rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "d7505779", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 gas_type 388 non-null object \n", + " 6 AC 388 non-null int64 \n", + " 7 rain 388 non-null int64 \n", + " 8 sun 388 non-null int64 \n", + "dtypes: float64(3), int64(5), object(1)\n", + "memory usage: 27.4+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "cb05051a", + "metadata": {}, + "source": [ + "Llegados a este punto solo nos quedan 12 valores nulos en la columna 'temp_inside'. Esto probablemente se deba al desconocimiento del dato para los registros con valores nulos. Por el momento no eliminaremos estos registros y simplemente sustituiremos los 'NaN' por 'unknown'." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "6d8c3c5d", + "metadata": {}, + "outputs": [], + "source": [ + "data2.temp_inside.fillna('unknown', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e31f7e75", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 388 non-null object \n", + " 4 temp_outside 388 non-null int64 \n", + " 5 gas_type 388 non-null object \n", + " 6 AC 388 non-null int64 \n", + " 7 rain 388 non-null int64 \n", + " 8 sun 388 non-null int64 \n", + "dtypes: float64(2), int64(5), object(2)\n", + "memory usage: 27.4+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "cc1516e4", + "metadata": {}, + "source": [ + "Ya tenemos los datos preparados para comenzar a trabajar con ellos y tratar de extraer conclusiones relevantes.\n", + "\n", + "Expotamos los datos para trabajar con ellos en otro notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "8edd54bb", + "metadata": {}, + "outputs": [], + "source": [ + "data2.to_csv('data/clean_data.csv', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ironhack", + "language": "python", + "name": "myenv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/.ipynb_checkpoints/2_Exploratory_Data_Analysis-checkpoint.ipynb b/.ipynb_checkpoints/2_Exploratory_Data_Analysis-checkpoint.ipynb new file mode 100644 index 0000000..7ab135b --- /dev/null +++ b/.ipynb_checkpoints/2_Exploratory_Data_Analysis-checkpoint.ipynb @@ -0,0 +1,411 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "63ef27c4", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import pylab as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6e1100b8", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('data/clean_data.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3f3ca259", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeACrainsun
028.05.02621.512E10000
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418.54.54621.515E10000
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type AC rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head()" + ] + }, + { + "cell_type": "markdown", + "id": "5376a254", + "metadata": {}, + "source": [ + "La columna objetivo es **'gas_type'** ya que lo que queremos saber es cuál es el combustible que ofrece mejores resultados.\n", + "\n", + "Construiremos algunos gráficos que nos permitan entender un poco mejor la situación." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3bfa1dad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SP98 228\n", + "E10 160\n", + "Name: gas_type, dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.gas_type.value_counts()\n", + "\n", + "# Existe un desbalance en los datos, lo cual puede provocar desajustes a futuro (desarrollo de modelos)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "81a64217", + "metadata": {}, + "outputs": [], + "source": [ + "# Matplotlib inline para visualizar los gráficos de Matplotlib\n", + "%matplotlib inline\n", + "%config Inlinebackend.figure_format= 'retina'\n", + "\n", + "# Configuración para setear y que todas las fig de Seaborn salgan por defecto con este tamaño\n", + "# Se puede especificar el tamaño de cada figura\n", + "sns.set_context(\"poster\")\n", + "sns.set(rc={\"figure.figsize\": (12.,6.)})\n", + "sns.set_style(\"whitegrid\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "68714713", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.boxplot(x=\"gas_type\", y=\"consume\", data=data)\n", + "ax = sns.swarmplot(x=\"gas_type\", y=\"consume\", data=data, color=\".25\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d16712a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "graf = sns.histplot(x=data.consume, kde=True, hue=data.gas_type)\n", + "graf.axvline(x=data.consume.mean(), c=\"red\", label=\"mean\")\n", + "graf.axvline(x=data.consume.median(), c=\"green\", label=\"median\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ab4ee400", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.scatterplot(x=\"distance\", y=\"consume\", hue=\"gas_type\",data=data);" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4403fb7d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mascara = np.triu(np.ones_like(data.corr(), dtype=bool)) # generamos la máscara para la triangular superior\n", + "\n", + "color_map = sns.diverging_palette(220, 20, as_cmap=True) # Paleta de colores\n", + "\n", + "plt.figure(figsize=(14,14)) \n", + "\n", + "sns.heatmap(data.corr(), \n", + " mask = mascara,\n", + " cmap=color_map,\n", + " square=True, #que los datos se vean como cuadrados\n", + " linewidth=0.5, #ancho de línea\n", + " vmax=1,\n", + " vmin=-1,\n", + " cbar_kws={\"shrink\": .7\n", + " },# barra lateral\n", + " annot=True);" + ] + }, + { + "cell_type": "markdown", + "id": "41ab1638", + "metadata": {}, + "source": [ + "**Primeras conclusiones:**\n", + "- Hipótesis: \"Los vehículos que utilizan combustible SP98 a priori muestra un consumo ligeramente menor a los que utilizan E10.\"\n", + "\n", + "No obstante, aquí no se tienen en cuenta otras variables que pueden afectar al consumo (simplemente estamos visualizando los datos de consumo en relación al combustible utilizado). Para poder afirmar que esta hipótesis es cierta, deberemos llevar a cabo una serie de análisis que lo avalen (siguiendo un proceso con respaldo estadístico en el que se tenga en cuenta el resto de variables).\n", + "\n", + "De hecho, esta hipótisis seguramente sea demasiado general para abordar el problema ya que, en función del análisis desarrollado llegamos también a la siguiente conclusión:\n", + "- Hipótesis 2: \"Los factores ambientales son los que influyen en mayor medida en el consumo de combustible, más allá del tipo de combustible en sí o de las características del trayecto (distancia y velocidad).\"\n", + "\n", + "A partir de aquí, deberíamos desarrollar un análisis de mayor profundidad para confirmar que esto se cumple y, en caso de que lo confirmemos, podríamos desarrollar modelos que nos indiquen el mejor combustible en función de unos determinados factores ambientales. El objetivo de esto sería variar el combustible utilizado en función del caso específico en el que vayamos a utilizarlos (diferenciando entre territorios según la temperatura ambiental, por ejemplo).\n", + "\n", + "\n", + "En cualquier caso tenemos un punto de partida a partir del cual podemos empezar a trabajar. El siguiente step será el desarrollo de los diferentes procesos cuyos resultados nos permitan aceptar o rechazar nuestras hipótesis para actuar en consecuencia.\n", + "\n", + "Además, podríamos desarrollar modelos predictivos, tanto de clasificación (para identificar el combustible utilizado en función de los datos para el resto de dimensiones), como de regresión (para predecir el consumo en función del resto de dimensiones). A partir de ahí, podríamos desarrollar otros planteamientos como el cálculo de las condiciones que dan lugar a un menor consumo de combustible, algo que puede ser muy interesante para el caso que se nos plantea." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ironhack", + "language": "python", + "name": "myenv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/1_Data_Exploration_&_Basic_Cleaning.ipynb b/1_Data_Exploration_&_Basic_Cleaning.ipynb new file mode 100644 index 0000000..1a6ec5c --- /dev/null +++ b/1_Data_Exploration_&_Basic_Cleaning.ipynb @@ -0,0 +1,1219 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "bd627f17", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "id": "eb1bcb8e", + "metadata": {}, + "source": [ + "### Cargamos los datos." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "4394824b", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('data/measurements.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "37bdb0ae", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside specials gas_type \\\n", + "0 False False True False True False True \n", + "1 False False True False True False True \n", + "2 False False True False True False True \n", + "3 False False True False True False True \n", + "4 False False True False True False True \n", + ".. ... ... ... ... ... ... ... \n", + "383 False False True False True False True \n", + "384 False False True False True True True \n", + "385 False False True False True False True \n", + "386 False False True False True True True \n", + "387 False False True False True True True \n", + "\n", + " AC rain sun refill liters refill gas \n", + "0 True True True False True \n", + "1 True True True False False \n", + "2 True True True False False \n", + "3 True True True False False \n", + "4 True True True False False \n", + ".. ... ... ... ... ... \n", + "383 True True True False False \n", + "384 True True True False False \n", + "385 True True True False False \n", + "386 True True True False False \n", + "387 True True True False False \n", + "\n", + "[388 rows x 12 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2 == data" + ] + }, + { + "cell_type": "markdown", + "id": "e63d12fb", + "metadata": {}, + "source": [ + "Los DataFrames no son exactamente iguales. Parece que lo que ocurre es que contienen la misma información, pero en diferente tipo de datos (dígitos en string vs. float, por ejemplo).\n", + "\n", + "Profundizaremos un poco más en las características de los datos y, si comprobamos que nuestras sospechas se cumplen, nos quedaremos con el dataset que más nos convenga (el que requiera de una limpieza menor para empezar a trabajar)." + ] + }, + { + "cell_type": "markdown", + "id": "501f1747", + "metadata": {}, + "source": [ + "### Exploración y limpieza básica inicial." + ] + }, + { + "cell_type": "markdown", + "id": "7e3e524d", + "metadata": {}, + "source": [ + "Iremos chequeando lo mismo para los dos datasets para poder compararlos." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "59c98ea9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "07b38a3e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(388, 12)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "c4d5dde2", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null object\n", + " 1 consume 388 non-null object\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null object\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object\n", + " 6 gas_type 388 non-null object\n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null object\n", + " 11 refill gas 13 non-null object\n", + "dtypes: int64(5), object(7)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "bcb42ac8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "ae1b526e", + "metadata": {}, + "source": [ + "Observamos como los dos datasets tienen el mismo shape y las mismas columnas.\n", + "\n", + "La diferencia entre ambos es el tipo de datos que contienen cada columna. Mientras en data2 las columnas numéricas son de tipo float; en data esta columnas son tipo object (contienen strings). Todo indica a que este dataset es una variación del primero como resultado de diferentes procesos de limpieza básica. Evidentemente nos interesa tener ya los datos en el tipo adecuado, por lo que trabajaremos sobre **data2**." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "664841d3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 specials 93 non-null object \n", + " 6 gas_type 388 non-null object \n", + " 7 AC 388 non-null int64 \n", + " 8 rain 388 non-null int64 \n", + " 9 sun 388 non-null int64 \n", + " 10 refill liters 13 non-null float64\n", + " 11 refill gas 13 non-null object \n", + "dtypes: float64(4), int64(5), object(3)\n", + "memory usage: 36.5+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "ffd98121", + "metadata": {}, + "source": [ + "Encontramos dos columnas con muy pocos valores no nulos (13 sobre 388; 3,35% de los datos).\n", + "\n", + "Probablemente lo más apropiado sea eliminar estas columnas ('refill liters' y 'refill gas') ya que no tenemos manera de manejar los datos nulos).\n", + "También encontramos muchos valores nulos en la columna 'specials', pero la proporción sobre el total de registros no es tan elevada, por lo que deberemos estudiar mejor la situación respecto a esta columna." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6c541ffa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "45.0 2\n", + "37.7 2\n", + "39.0 2\n", + "37.6 1\n", + "38.0 1\n", + "38.3 1\n", + "10.0 1\n", + "41.0 1\n", + "37.0 1\n", + "37.2 1\n", + "Name: refill liters, dtype: int64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2['refill liters'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "633ed8f2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SP98 8\n", + "E10 5\n", + "Name: refill gas, dtype: int64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2['refill gas'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "cd7bb027", + "metadata": {}, + "outputs": [], + "source": [ + "# Eliminamos estas 2 columnas ya que no podemos identificar el valor que aportan al dataset.\n", + "\n", + "data2.drop(columns = ['refill liters', 'refill gas'], inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "7d932290", + "metadata": {}, + "source": [ + "**Analizamos la situación de 'specials'.**" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "e560a9a6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "rain 32\n", + "sun 27\n", + "AC rain 9\n", + "ac 8\n", + "AC 6\n", + "snow 3\n", + "sun ac 3\n", + "AC snow 1\n", + "half rain half sun 1\n", + "AC sun 1\n", + "AC Sun 1\n", + "ac rain 1\n", + "Name: specials, dtype: int64" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.specials.value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "6d6dc2cb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['distance', 'consume', 'speed', 'temp_inside', 'temp_outside',\n", + " 'specials', 'gas_type', 'AC', 'rain', 'sun'],\n", + " dtype='object')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5b5293c5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 358\n", + "1 30\n", + "Name: AC, dtype: int64" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.AC.value_counts()" + ] + }, + { + "cell_type": "markdown", + "id": "f36bdedf", + "metadata": {}, + "source": [ + "Nos damos cuenta de que los valores no nulos de esta columna se relacionan con otras columnas del DataFrame. ('AC', 'rain' y 'sun').\n", + "\n", + "Lo que se ha hecho (antes de entregarnos los datos) ha sido generar variables ficticias (dummies) en función del contenido de 'specials': el valor de estas columnas es 0 o 1 en función de si aparece 'AC', 'rain' o 'sun' en la columna 'specials'.\n", + "\n", + "Por tanto, podemos eliminar la columna 'specials' ya que la información que nos aporta está recogida en los datos de las tres columnas anteriormente mencionadas." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "3fd863cc", + "metadata": {}, + "outputs": [], + "source": [ + "data2.drop('specials', axis=1, inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "28d7a489", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeACrainsun
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type AC rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data2.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "d7505779", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 376 non-null float64\n", + " 4 temp_outside 388 non-null int64 \n", + " 5 gas_type 388 non-null object \n", + " 6 AC 388 non-null int64 \n", + " 7 rain 388 non-null int64 \n", + " 8 sun 388 non-null int64 \n", + "dtypes: float64(3), int64(5), object(1)\n", + "memory usage: 27.4+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "cb05051a", + "metadata": {}, + "source": [ + "Llegados a este punto solo nos quedan 12 valores nulos en la columna 'temp_inside'. Esto probablemente se deba al desconocimiento del dato para los registros con valores nulos. Por el momento no eliminaremos estos registros y simplemente sustituiremos los 'NaN' por 'unknown'." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "6d8c3c5d", + "metadata": {}, + "outputs": [], + "source": [ + "data2.temp_inside.fillna('unknown', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "e31f7e75", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 388 entries, 0 to 387\n", + "Data columns (total 9 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 distance 388 non-null float64\n", + " 1 consume 388 non-null float64\n", + " 2 speed 388 non-null int64 \n", + " 3 temp_inside 388 non-null object \n", + " 4 temp_outside 388 non-null int64 \n", + " 5 gas_type 388 non-null object \n", + " 6 AC 388 non-null int64 \n", + " 7 rain 388 non-null int64 \n", + " 8 sun 388 non-null int64 \n", + "dtypes: float64(2), int64(5), object(2)\n", + "memory usage: 27.4+ KB\n" + ] + } + ], + "source": [ + "data2.info()" + ] + }, + { + "cell_type": "markdown", + "id": "cc1516e4", + "metadata": {}, + "source": [ + "Ya tenemos los datos preparados para comenzar a trabajar con ellos y tratar de extraer conclusiones relevantes.\n", + "\n", + "Expotamos los datos para trabajar con ellos en otro notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "8edd54bb", + "metadata": {}, + "outputs": [], + "source": [ + "data2.to_csv('data/clean_data.csv', index=False)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ironhack", + "language": "python", + "name": "myenv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/2_Exploratory_Data_Analysis.ipynb b/2_Exploratory_Data_Analysis.ipynb new file mode 100644 index 0000000..7ab135b --- /dev/null +++ b/2_Exploratory_Data_Analysis.ipynb @@ -0,0 +1,411 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "63ef27c4", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import seaborn as sns\n", + "import pylab as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6e1100b8", + "metadata": {}, + "outputs": [], + "source": [ + "data = pd.read_csv('data/clean_data.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "3f3ca259", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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distanceconsumespeedtemp_insidetemp_outsidegas_typeACrainsun
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" + ], + "text/plain": [ + " distance consume speed temp_inside temp_outside gas_type AC rain sun\n", + "0 28.0 5.0 26 21.5 12 E10 0 0 0\n", + "1 12.0 4.2 30 21.5 13 E10 0 0 0\n", + "2 11.2 5.5 38 21.5 15 E10 0 0 0\n", + "3 12.9 3.9 36 21.5 14 E10 0 0 0\n", + "4 18.5 4.5 46 21.5 15 E10 0 0 0" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.head()" + ] + }, + { + "cell_type": "markdown", + "id": "5376a254", + "metadata": {}, + "source": [ + "La columna objetivo es **'gas_type'** ya que lo que queremos saber es cuál es el combustible que ofrece mejores resultados.\n", + "\n", + "Construiremos algunos gráficos que nos permitan entender un poco mejor la situación." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3bfa1dad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SP98 228\n", + "E10 160\n", + "Name: gas_type, dtype: int64" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data.gas_type.value_counts()\n", + "\n", + "# Existe un desbalance en los datos, lo cual puede provocar desajustes a futuro (desarrollo de modelos)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "81a64217", + "metadata": {}, + "outputs": [], + "source": [ + "# Matplotlib inline para visualizar los gráficos de Matplotlib\n", + "%matplotlib inline\n", + "%config Inlinebackend.figure_format= 'retina'\n", + "\n", + "# Configuración para setear y que todas las fig de Seaborn salgan por defecto con este tamaño\n", + "# Se puede especificar el tamaño de cada figura\n", + "sns.set_context(\"poster\")\n", + "sns.set(rc={\"figure.figsize\": (12.,6.)})\n", + "sns.set_style(\"whitegrid\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "68714713", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = sns.boxplot(x=\"gas_type\", y=\"consume\", data=data)\n", + "ax = sns.swarmplot(x=\"gas_type\", y=\"consume\", data=data, color=\".25\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "d16712a9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "graf = sns.histplot(x=data.consume, kde=True, hue=data.gas_type)\n", + "graf.axvline(x=data.consume.mean(), c=\"red\", label=\"mean\")\n", + "graf.axvline(x=data.consume.median(), c=\"green\", label=\"median\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ab4ee400", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.scatterplot(x=\"distance\", y=\"consume\", hue=\"gas_type\",data=data);" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "4403fb7d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mascara = np.triu(np.ones_like(data.corr(), dtype=bool)) # generamos la máscara para la triangular superior\n", + "\n", + "color_map = sns.diverging_palette(220, 20, as_cmap=True) # Paleta de colores\n", + "\n", + "plt.figure(figsize=(14,14)) \n", + "\n", + "sns.heatmap(data.corr(), \n", + " mask = mascara,\n", + " cmap=color_map,\n", + " square=True, #que los datos se vean como cuadrados\n", + " linewidth=0.5, #ancho de línea\n", + " vmax=1,\n", + " vmin=-1,\n", + " cbar_kws={\"shrink\": .7\n", + " },# barra lateral\n", + " annot=True);" + ] + }, + { + "cell_type": "markdown", + "id": "41ab1638", + "metadata": {}, + "source": [ + "**Primeras conclusiones:**\n", + "- Hipótesis: \"Los vehículos que utilizan combustible SP98 a priori muestra un consumo ligeramente menor a los que utilizan E10.\"\n", + "\n", + "No obstante, aquí no se tienen en cuenta otras variables que pueden afectar al consumo (simplemente estamos visualizando los datos de consumo en relación al combustible utilizado). Para poder afirmar que esta hipótesis es cierta, deberemos llevar a cabo una serie de análisis que lo avalen (siguiendo un proceso con respaldo estadístico en el que se tenga en cuenta el resto de variables).\n", + "\n", + "De hecho, esta hipótisis seguramente sea demasiado general para abordar el problema ya que, en función del análisis desarrollado llegamos también a la siguiente conclusión:\n", + "- Hipótesis 2: \"Los factores ambientales son los que influyen en mayor medida en el consumo de combustible, más allá del tipo de combustible en sí o de las características del trayecto (distancia y velocidad).\"\n", + "\n", + "A partir de aquí, deberíamos desarrollar un análisis de mayor profundidad para confirmar que esto se cumple y, en caso de que lo confirmemos, podríamos desarrollar modelos que nos indiquen el mejor combustible en función de unos determinados factores ambientales. El objetivo de esto sería variar el combustible utilizado en función del caso específico en el que vayamos a utilizarlos (diferenciando entre territorios según la temperatura ambiental, por ejemplo).\n", + "\n", + "\n", + "En cualquier caso tenemos un punto de partida a partir del cual podemos empezar a trabajar. El siguiente step será el desarrollo de los diferentes procesos cuyos resultados nos permitan aceptar o rechazar nuestras hipótesis para actuar en consecuencia.\n", + "\n", + "Además, podríamos desarrollar modelos predictivos, tanto de clasificación (para identificar el combustible utilizado en función de los datos para el resto de dimensiones), como de regresión (para predecir el consumo en función del resto de dimensiones). A partir de ahí, podríamos desarrollar otros planteamientos como el cálculo de las condiciones que dan lugar a un menor consumo de combustible, algo que puede ser muy interesante para el caso que se nos plantea." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ironhack", + "language": "python", + "name": "myenv" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/data/clean_data.csv b/data/clean_data.csv new file mode 100644 index 0000000..4ddeeed --- /dev/null +++ b/data/clean_data.csv @@ -0,0 +1,389 @@ +distance,consume,speed,temp_inside,temp_outside,gas_type,AC,rain,sun +28.0,5.0,26,21.5,12,E10,0,0,0 +12.0,4.2,30,21.5,13,E10,0,0,0 +11.2,5.5,38,21.5,15,E10,0,0,0 +12.9,3.9,36,21.5,14,E10,0,0,0 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