diff --git a/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb b/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb index 5e81ae92f10328c5972d46938cc3c5c03a94abc5..8c69bed43f54c9d5d9eeb017ee44eab1a8a9b4ee 100644 --- a/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb +++ b/ejemplos-jupyter/ejemplos-EMSE/EMSE_Analisis.ipynb @@ -13,9 +13,23 @@ "Para comenzar, importamos las librerias necesarias para visualizar y graficar los datos:" ] }, + { + "cell_type": "markdown", + "id": "e7bf882e", + "metadata": {}, + "source": [ + "**Agregar** \n", + "* sobre que son los datos, que son dos tables, qué contiene cada una?\n", + "* que vamos a ver:\n", + " * Que información relevante vamos a poder analziar con estos datos\n", + " * Comparación entre las veces que comieron snacks vs las veces que comieron frutas durante los ultimos 7 dias.\n", + " * Gráfico comparando la cantidad de dÃas que no fue correcta su alimentación en los últimos 30 dÃas.VER???\n", + "* visualizar y curar datos\n" + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "id": "852dc66c", "metadata": {}, "outputs": [], @@ -35,9 +49,17 @@ "2) Tabla con las preguntas realizadas." ] }, + { + "cell_type": "markdown", + "id": "27dad04e", + "metadata": {}, + "source": [ + "Me faltó instalar openpyxl, aclarar que se debe instalar y para qué sirve" + ] + }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "id": "1d78ad9d", "metadata": {}, "outputs": [], @@ -56,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 8, "id": "19d43ebd", "metadata": { "scrolled": true @@ -404,7 +426,7 @@ "[10 rows x 309 columns]" ] }, - "execution_count": 3, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -415,7 +437,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 10, "id": "c504e5fa", "metadata": {}, "outputs": [ @@ -558,7 +580,7 @@ "9 NaN 5.0 15 años " ] }, - "execution_count": 4, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -575,9 +597,49 @@ "Como puede verse, los datos que realmente nos interesan de la segunda tabla son: el código de la pregunta relacionado con la pregunta en sÃ. Para una mejor legibilidad, eliminaremos las columnas que no nos sirven, asi como las filas con valores NaN (Not a Number)." ] }, + { + "cell_type": "markdown", + "id": "6c74f378", + "metadata": {}, + "source": [ + "Modificar:\n", + "* poner una instrucción por celda y explicar , la cantidad de elementos en la lista de los nombres de las columnas son iguales a la cantidad que tiene el dataset original?\n", + "* primero visualizar los nombres de las columnas actuales\n", + "* podrÃa ser mejor poner nombres con _ en lugar de espacio?\n", + "* en la instrucción drop que significa axis?\n", + "* por qué es necesario esta instrucción\n", + "```python\n", + "# Cambiamos el valor de caracteres máximos que podemos visualizar de una columna\n", + "pd.options.display.max_colwidth = 200\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "e1520256", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Código variable standard', 'Código variable ARG (Nº de pregunta)',\n", + " 'Pregunta', 'Códigos de respuesta', 'Etiquetas de respuesta'],\n", + " dtype='object')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "codigos_preguntas.columns" + ] + }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 14, "id": "6271d84a", "metadata": { "scrolled": false @@ -585,9 +647,15 @@ "outputs": [], "source": [ "# Renombramoslas columnas\n", - "codigos_preguntas.columns = [\"Codigo variable estandar\",\"Codigo variable ARG\",\"Pregunta\",\"Codigos de respuesta\",\"Etiquetas de respuesta\"]\n", + "codigos_preguntas.columns = [\"Codigo variable estandar\",\n", + " \"Codigo variable ARG\",\"Pregunta\",\n", + " \"Codigos de respuesta\",\n", + " \"Etiquetas de respuesta\"]\n", "# Eliminamos aquellas columnas que no nos sirven\n", - "codigos_preguntas = codigos_preguntas.drop([\"Codigos de respuesta\",\"Codigo variable ARG\",\"Etiquetas de respuesta\"], axis=\"columns\")\n", + "codigos_preguntas = codigos_preguntas.drop([\"Codigos de respuesta\",\n", + " \"Codigo variable ARG\",\n", + " \"Etiquetas de respuesta\"], \n", + " axis=\"columns\")\n", "# Quitamos aquellas filas que no tienen valores válidos\n", "codigos_preguntas = codigos_preguntas.dropna()\n", "# Cambiamos el valor de caracteres máximos que podemos visualizar de una columna\n", @@ -604,7 +672,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 15, "id": "733d3443", "metadata": {}, "outputs": [ @@ -714,7 +782,7 @@ "45 Durante los últimos 12 meses, Cuantas veces fuiste atacado fÃsicamente? " ] }, - "execution_count": 6, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -728,7 +796,7 @@ "id": "5925e27f", "metadata": {}, "source": [ - "Como se puede ver, los datos que nos provee esta tabla son los códigos de las preguntas asociados a las preguntas correspondientes dentro del cuestionario. En la tabla de respuestas, lo que encontramos es que el código de cada pregunta corresponde con el nombre de una columna, y la respuesta se encuentra en una columna con nombre *\"text_código\"*. \n", + "Como se puede ver, los datos que nos provee esta tabla son los códigos de las preguntas asociados a las preguntas correspondientes dentro del cuestionario. En la tabla de respuestas, lo que encontramos es que el código de cada pregunta corresponde con el nombre de una columna, y la respuesta se encuentra en una columna con nombre **text_código**. \n", " \n", "Se debe realizar esta aclaración, ya que la comprensión de las tablas que usaremos resulta esencial a la hora de analizar los datos contenidos en ellas." ] @@ -748,11 +816,89 @@ "id": "3eb82c51", "metadata": {}, "source": [ - "## 1° gráfico: veces que comieron snacks vs veces que comieron frutas\n", + "## 1° gráfico: \n", + "Identificar la cantidad de veces que comieron snacks vs veces que comieron frutas\n", "\n", "Se debe realizar ambos graficos, uno al lado del otro. Para ello, las preguntas que necesitamos son aquellas con codigo q64(Snacks), y con codigo q61(Frutas). Para asegurarnos, imprimiremos el contenido de cada una de ellas:" ] }, + { + "cell_type": "markdown", + "id": "cffa8341", + "metadata": {}, + "source": [ + "PondrÃa más simple para acceder a la pregunta" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "47922ae6", + "metadata": {}, + "outputs": [], + "source": [ + "pregunta_snacks = codigos_preguntas[codigos_preguntas\n", + " [\"Codigo variable estandar\"] == \"q64\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a4adde0b", + "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>Codigo variable estandar</th>\n", + " <th>Pregunta</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>415</th>\n", + " <td>q64</td>\n", + " <td>Durante los últimos 7 dÃas ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix?</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Codigo variable estandar \\\n", + "415 q64 \n", + "\n", + " Pregunta \n", + "415 Durante los últimos 7 dÃas ¿cuántas veces comiste comida salada o snaks, como papas fritas, palitos, chizitos, kesitas, saladix? " + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "pregunta_snacks" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -774,7 +920,8 @@ "#Vemos el contenido de la pregunta de código q64\n", "\n", "#Nos quedamos con la fila cuyo contenido en la columna \"Codigo variable estandar\" es igual a \"q64\"\n", - "pregunta_snacks = codigos_preguntas[codigos_preguntas[\"Codigo variable estandar\"] == \"q64\"]\n", + "pregunta_snacks = codigos_preguntas[codigos_preguntas\n", + " [\"Codigo variable estandar\"] == \"q64\"]\n", "\n", "#Imprimimos el contenido de la columna \"Pregunta\" de la fila resultante\n", "print(\"Pregunta q64: \\n\", pregunta_snacks[\"Pregunta\"].to_string())\n", @@ -805,6 +952,148 @@ "Continuamos con la creación de los gráficos." ] }, + { + "cell_type": "markdown", + "id": "482d4e90", + "metadata": {}, + "source": [ + "Primero realizar un gráfico simple y despues ver como mejorarlo, qué hace groupby, qué hace count?" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f788a69b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "<AxesSubplot:ylabel='record'>" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 432x288 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "resultados_df.groupby(\"texto_q64\")[\"record\"].count().plot(kind='pie')" + ] + }, + { + "cell_type": "markdown", + "id": "ded77735", + "metadata": {}, + "source": [ + "Cómo podemos mejorar el gráfico?" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "0c5266d6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 720x504 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n", + "labels_snacks = list(cant_snacks.index)\n", + "fig = plt.figure(figsize =(10, 7))\n", + "plt.pie(cant_snacks, labels = labels_snacks)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9fbd8f6f", + "metadata": {}, + "source": [ + "Y si queremos ver los procentajes que representan cada uno...." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "27590819", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 720x504 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n", + "labels_snacks = list(cant_snacks.index)\n", + "fig = plt.figure(figsize =(10, 7))\n", + "plt.pie(cant_snacks, labels = labels_snacks, autopct='%1.2f%%')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f4845060", + "metadata": {}, + "source": [ + "Le podemos poner un tÃtulo y mejorar la ubicación de los datos, \n", + "\n", + "Detallar despues qué significa cada instrucción agregada\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "f76f599f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "<Figure size 720x504 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cant_snacks = resultados_df.groupby(\"texto_q64\")[\"record\"].count()\n", + "labels_snacks = list(cant_snacks.index)\n", + "fig = plt.figure(figsize =(10, 7))\n", + "plt.pie(cant_snacks, autopct='%1.2f%%', startangle=90, pctdistance=1.15)\n", + "plt.legend(labels_snacks, loc=\"center\", bbox_to_anchor=(0.1, 0.5, 0.85, -1.3))\n", + "plt.title(\"Comieron snacks\")\n", + "plt.show()" + ] + }, { "cell_type": "code", "execution_count": 8, @@ -992,7 +1281,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.2" + "version": "3.10.4" } }, "nbformat": 4,