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Integration20Jul.zpln
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Integration20Jul.zpln
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{
"paragraphs": [
{
"text": "\nimport org.apache.spark.sql.types._\nval dataSchema = StructType(\n Array(\n StructField(\"id_persona\", DecimalType(26, 0), true), \n StructField(\"anio\", IntegerType, true), \n StructField(\"mes\", IntegerType, true), \n StructField(\"provincia\", IntegerType, true), \n StructField(\"canton\", IntegerType, true), \n StructField(\"area\", StringType, true), \n StructField(\"genero\", StringType, true), \n StructField(\"edad\", IntegerType, true), \n StructField(\"estado_civil\", StringType, true), \n StructField(\"nivel_de_instruccion\", StringType, true), \n StructField(\"etnia\", StringType, true), \n StructField(\"ingreso_laboral\", IntegerType, true), \n StructField(\"condicion_actividad\", StringType, true), \n StructField(\"sectorizacion\", StringType, true), \n StructField(\"grupo_ocupacion\", StringType, true), \n StructField(\"rama_actividad\", StringType, true), \n StructField(\"factor_expansion\", DoubleType, true)\n ))\n",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:39:23-0500",
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"status": "ABORT",
"focus": true,
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"dateStarted": "2020-07-20T09:39:24-0500"
},
{
"text": "\nval df = spark.read.option(\"myDataSchema\",\"true\").option(\"header\",\"true\").option(\"delimiter\",\"\\t\").csv(\"/home/daniel/MEGAsync/4Ciclo/ProgramacionAvanzada/Proyecto2Bim//Datos_ENEMDU_PEA_v2.csv\")\nval data2 = df.drop(\"id_persona\")\n\n\nval data3=data2.withColumn(\"provincia\", when($\"provincia\" === 1 , lit(\"Azuay\"))\n .otherwise(when($\"provincia\" === 2 , lit(\"Bovilar\"))\n .otherwise(when($\"provincia\" === 3, lit(\"Caniar\"))\n .otherwise(when($\"provincia\" === 4, lit(\"Carchi\"))\n .otherwise(when($\"provincia\" === 5, lit(\"Cotopaxi\"))\n.otherwise(when($\"provincia\" === 6, lit(\"Chimborazo\"))\n.otherwise(when($\"provincia\" === 7, lit(\"El Oro\"))\n.otherwise(when($\"provincia\" === 8, lit(\"Esmeraldas\"))\n.otherwise(when($\"provincia\" === 9, lit(\"Guayas\"))\n.otherwise(when($\"provincia\" === 10, lit(\"Imbabura\"))\n.otherwise(when($\"provincia\" === 11, lit(\"Loja\"))\n.otherwise(when($\"provincia\" === 12, lit(\"Los Rios\"))\n.otherwise(when($\"provincia\" === 13, lit(\"Manabi\"))\n.otherwise(when($\"provincia\" === 14, lit(\"Morona Santiago\"))\n.otherwise(when($\"provincia\" === 15, lit(\"Napo\"))\n.otherwise(when($\"provincia\" === 16, lit(\"Pastaza\"))\n.otherwise(when($\"provincia\" === 17, lit(\"Pichincha\"))\n.otherwise(when($\"provincia\" === 18, lit(\"Tungurahua\"))\n.otherwise(when($\"provincia\" === 19, lit(\"Zamora Chinchipe\"))\n.otherwise(when($\"provincia\" === 20, lit(\"Galapagos\"))\n.otherwise(when($\"provincia\" === 21, lit(\"Sucumbios\"))\n.otherwise(when($\"provincia\" === 22, lit(\"Orellana\"))\n.otherwise(when($\"provincia\" === 23, lit(\"Santo Domingo de los Tsachilas\"))\n.otherwise(when($\"provincia\" === 24, lit(\"Santa Elena\"))\n) )) )))))))))))))))))))))",
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"dateUpdated": "2020-07-20T09:39:21-0500",
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"dateCreated": "2020-07-20T09:33:42-0500",
"status": "READY",
"$$hashKey": "object:914"
},
{
"text": "%md\n \n## Uso de CrossTab\n¿Cuál es la frecuencia de Hombres y Mujeres por provincia?",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:33:42-0500",
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"data": "<div class=\"markdown-body\">\n<h2>Uso de CrossTab</h2>\n<p>¿Cuál es la frecuencia de Hombres y Mujeres por provincia?</p>\n</div>"
}
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"$$hashKey": "object:915"
},
{
"text": "\n\nval anioGeneroDF = data3.stat.crosstab(\"provincia\", \"genero\").orderBy(\"provincia_genero\")\nval r2= anioGeneroDF.select($\"provincia_genero\",anioGeneroDF(\"1 - Hombre\") + anioGeneroDF(\"2 - Mujer\") )\nanioGeneroDF.join(r2,Seq(\"provincia_genero\")).withColumnRenamed(\"(1 - Hombre + 2 - Mujer)\",\"TOTAL\").show(24)\n",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:28-0500",
"config": {
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"$$hashKey": "object:916"
},
{
"text": "%md\n¿Cuál es la frecuencia de la variable **sectorizacion** respecto de las provincias?",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:33:42-0500",
"config": {
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"editorHide": true,
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"data": "<div class=\"markdown-body\">\n<p>¿Cuál es la frecuencia de la variable <strong>sectorizacion</strong> respecto de las provincias?</p>\n</div>"
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"$$hashKey": "object:917"
},
{
"text": "\ndata3.stat.crosstab(\"provincia\", \"sectorizacion\").orderBy(\"provincia_sectorizacion\")\n.show(24)",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:32-0500",
"config": {
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"$$hashKey": "object:918"
},
{
"text": "%md\n \n## Pivot\n¿ Cuál es el valor promedio y máximo del ingreso laboral de hombres y mujeres segun la **sectorizacion**?",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:33:42-0500",
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}
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{
"text": "val avgSalGenero =data3.groupBy(\"rama_actividad\").pivot(\"genero\").agg(max(\"ingreso_laboral\"),avg(\"ingreso_laboral\")).orderBy($\"rama_actividad\")\n\navgSalGenero.withColumnRenamed(\"1 - Hombre_avg(CAST(ingreso_laboral AS DOUBLE))\",\"Hombres\").withColumn(\"Hombres\", format_number('Hombres,2))\n.withColumnRenamed(\"2 - Mujer_avg(CAST(ingreso_laboral AS DOUBLE))\",\"Mujeres\").withColumn(\"Mujeres\", format_number('Mujeres,2))\n.withColumnRenamed(\"1 - Hombre_max(ingreso_laboral)\",\"SueldoMaxHombre\")\n.withColumnRenamed(\"2 - Mujer_max(ingreso_laboral)\",\"SueldoMaxMujer\")\n.show(false)\n",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:35-0500",
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{
"text": "%md\n \n¿ Cuál es el promedio del ingreso laboral de hombres y mujeres segun la **sectorizacion**?",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:33:42-0500",
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{
"text": "data2.groupBy(\"sectorizacion\").pivot(\"genero\").agg(avg(\"ingreso_laboral\")).orderBy($\"sectorizacion\").withColumn(\"2 - Mujer\", format_number($\"2 - Mujer\",2))\n.withColumn(\"1 - Hombre\",format_number($\"1 - Hombre\",2)).show(false)",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:42-0500",
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"$$hashKey": "object:922"
},
{
"text": "%md\n \n¿ Cuál es el promedio del ingreso laboral de hombres y mujeres según su **estado_civil**?",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:33:42-0500",
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{
"text": "data2.groupBy(\"area\").pivot(\"ingreso_laboral\").max(\"ingreso_laboral\").show",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:44-0500",
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"status": "READY",
"$$hashKey": "object:924",
"title": "Variable Ingresos: ¿Cual ha sido el mayor ingreso percibido en cada área?"
},
{
"text": "data2.stat.crosstab(\"rama_actividad\", \"area\").show",
"user": "anonymous",
"dateUpdated": "2020-07-20T09:38:46-0500",
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"dateCreated": "2020-07-20T09:35:23-0500",
"status": "READY",
"focus": true,
"$$hashKey": "object:1796",
"title": "Variable Rama actividad: Segun la rama de actividad a la que se dedican ¿En que tipo de área se localizan los encuestados?"
},
{
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"dateCreated": "2020-07-20T09:37:41-0500",
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"focus": true,
"$$hashKey": "object:1897",
"text": "z.show(data2.groupBy(\"rama_actividad\").pivot(\"genero\").avg(\"ingreso_laboral\"))",
"dateUpdated": "2020-07-20T09:38:50-0500",
"title": "Variable Rama_actividad: Segun su rama de actividad ¿Cual es el sueldo promedio entre hombres y mujeres?"
}
],
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