{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Administrative Data Cleaning" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook shows transparently the cleaning proccess of the student data used for the project. \n", "\n", "The raw dataframe used was shared to us by Universidad del Pacífico and contains anonymized data on undergraduate students enrolled in the period from 2018 to 2023 in the programs of Business Administration, Finance, Accounting, Business Engineering, Information Engineering, International Business, Law, Marketing, and Economics.\n", "\n", "Said dataset can be found here" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd \n", "from IPython.display import HTML\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import os" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Importing Data" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'c:\\\\Users\\\\Matias Villalba\\\\Documents\\\\GitHub\\\\VRI_UP_Networks\\\\administrative_data\\\\05-CODE'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.getcwd()" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "#importing relevant dataframes\n", "df = pd.read_excel(r'../01-DATA_RAW\\Evaluaciones de alumnos de Pregrado del 2018-2022_VERSION_5.0.xlsx', sheet_name=\"Dataset\", header=None, usecols=\"A:GU\", skiprows=1, nrows=272284)\n", "df_dicc = pd.read_excel(r'../01-DATA_RAW\\Evaluaciones de alumnos de Pregrado del 2018-2022_VERSION_5.0.xlsx', sheet_name=\"Diccionario de datos\", header=0, usecols=\"B:F\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Renaming vars. according to variable dictionary" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Tipo de variableUbigVariableDescripciónObservaciones
0Key1.1CODIGO_DEL_ALUMNOCódigo anonimizado del alumnoNaN
1Key1.2ACADEMIC_YEARAño AcadémicoNaN
2Key1.3ACADEMIC_TERMPeriodo AcadémicoI PER = Primer Semestre, II PER=Segundo Semestre
3Perfil2.1GENEROGénero del AlumnoF=Femenino, M=Masculino
4Perfil2.2EDAD_INGRESOEdad del alumno al ingresar a la UPNaN
..................
198Hábitos de salud14.6HABITO_SALUD66. ¿Cuántas veces a la semana realiza activida...NaN
199Hábitos de salud14.7HABITO_SALUD77. En el último mes, ¿has fumado tabaco?NaN
200Hábitos de salud14.8HABITO_SALUD88. En el último mes, ¿has tomado una bebida qu...NaN
201Hábitos de salud14.9HABITO_SALUD99. ¿Alguna vez has consumido marihuana?NaN
202Hábitos de salud14.1HABITO_SALUD1010. ¿Alguna vez has usado otro tipo de sustanc...NaN
\n", "

203 rows × 5 columns

\n", "
" ], "text/plain": [ " Tipo de variable Ubig Variable \\\n", "0 Key 1.1 CODIGO_DEL_ALUMNO \n", "1 Key 1.2 ACADEMIC_YEAR \n", "2 Key 1.3 ACADEMIC_TERM \n", "3 Perfil 2.1 GENERO \n", "4 Perfil 2.2 EDAD_INGRESO \n", ".. ... ... ... \n", "198 Hábitos de salud 14.6 HABITO_SALUD6 \n", "199 Hábitos de salud 14.7 HABITO_SALUD7 \n", "200 Hábitos de salud 14.8 HABITO_SALUD8 \n", "201 Hábitos de salud 14.9 HABITO_SALUD9 \n", "202 Hábitos de salud 14.1 HABITO_SALUD10 \n", "\n", " Descripción \\\n", "0 Código anonimizado del alumno \n", "1 Año Académico  \n", "2 Periodo Académico \n", "3 Género del Alumno \n", "4 Edad del alumno al ingresar a la UP \n", ".. ... \n", "198 6. ¿Cuántas veces a la semana realiza activida... \n", "199 7. En el último mes, ¿has fumado tabaco? \n", "200 8. En el último mes, ¿has tomado una bebida qu... \n", "201 9. ¿Alguna vez has consumido marihuana? \n", "202 10. ¿Alguna vez has usado otro tipo de sustanc... \n", "\n", " Observaciones \n", "0 NaN \n", "1 NaN \n", "2 I PER = Primer Semestre, II PER=Segundo Semestre \n", "3 F=Femenino, M=Masculino \n", "4 NaN \n", ".. ... \n", "198 NaN \n", "199 NaN \n", "200 NaN \n", "201 NaN \n", "202 NaN \n", "\n", "[203 rows x 5 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "display(df_dicc)" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "

Diccionario de variables

\n", "

Key

1.1: CODIGO_DEL_ALUMNO. Código anonimizado del alumno.

1.2: ACADEMIC_YEAR. Año Académico .

1.3: ACADEMIC_TERM. Periodo Académico.
[I PER = Primer Semestre, II PER=Segundo Semestre]

Perfil

2.1: GENERO. Género del Alumno.
[F=Femenino, M=Masculino]

2.2: EDAD_INGRESO. Edad del alumno al ingresar a la UP.

2.3: EDAD_ACTUAL. Edad actual del alumno.
[ al 10 de Octubre del 2023]

2.4: LUGAR_DE_NACIMIENTO. Distrito de nacimiento.

2.5: LUGAR_DE_ORIGEN. Lugar de origen de procedencia..

2.6: LUGAR_DE_RESIDENCIA. Distrito de residencia.

Datos Familiares

3.1: GRADO_PADRE. Grado máximo alcanzado por el padre.
[Datos incompletos (para los padres de 5943 alumnos)]

3.2: OCUPACION_PADRE. Ocupación del padre.

3.3: UBIGEO_PADRE. Departamento, provincia y distrito de residencia del padre.

3.4: GRADO_MADRE. Grado máximo alcanzado por la madre.
[Datos incompletos (para los padres de 5096 alumnos)]

3.5: OCUPACION_MADRE. Ocupación de la madre.

3.6: UBIGEO_MADRE. Departamento, provincia y distrito de residencia de la madre.

3.7: NUMERO_HERMANOS. Número de hermanos del alumno.

3.8: NUMERO_HERMANOS_EN_LA_UP. Número de hermanos del alumno que estudian en la UP.

Datos Colegio

4.1: COLEGIO_DE_PROCEDENCIA. Colegio donde estudió el alumno.
[Datos incompletos (para los colegios de 384 alumnos)]

4.2: TIPO_COLEGIO. Tipo de colegio de procedencia.
[Datos incompletos (para 563 colegios)]

4.3: UBIGEO_COLEGIO. Departamento, provincia y distrito de ubicación del colegio.

4.4: BACHILLERATO_INTERNACIONAL. Cuenta con bachillerato internacional.

4.5: COLEGIO_DE_ALTO_RENDIMIENTO. Proviene de un colegio de alto rendimiento.

4.6: EVALUACION_VIGESIMAL_COMPETENCIAS_MIXTO. ¿El alumno fue evaluado en sistema vigesimal, bajo el enfoque por competencias (sistema A-D) o mixto?.
[El valor Opcional significa que el postulante no gistró sus notas.]

4.7: 3RO_MATEMATICA. Grado: Secundaria 3ro. Puntaje obtenido en matemática..

4.8: 3RO_COMUNICACION. Grado: Secundaria 3ro. Puntaje obtenido en Comunicación(lenguaje)..

4.9: 4TO_MATEMATICA. Grado: Secundaria 4to. Puntaje obtenido en matemática..

4.1: 4TO_COMUNICACION. Grado: Secundaria 4to. Puntaje obtenido en Comunicación(lenguaje)..

4.11: 5TO_MATEMATICA. Grado: Secundaria 5to. Puntaje obtenido en matemática..

4.12: 5TO_COMUNICACION. Grado: Secundaria 5to. Puntaje obtenido en Comunicación(lenguaje)..

4.13: 3RO_CIENCIA_TECNOLOGIA_DISEÑA. Grado: Secundaria 3ro. Calificación obtenida en: Ciencia y Tecnología. Competencia: Diseña y construye soluciones tecnológicas para resolver problemas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.14: 3RO_CIENCIA_TECNOLOGIA_EXPLICA. Grado: Secundaria 3ro. Calificación obtenida en: Ciencia y Tecnología. Competencia: Explica el mundo físico basándose en conocimientos sobre los seres vivos, materia y energía, biodiversidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.15: 3RO_CIENCIA_TECNOLOGIA_INDAGA. Grado: Secundaria 3ro. Calificación obtenida en: Ciencia y Tecnología. Competencia: Indaga mediante métodos científicos para construir sus conocimientos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.16: 3RO_CIENCIAS_SOCIALES_CONSTRUYE. Grado: Secundaria 3ro. Calificación obtenida en: Ciencias Sociales. Competencia: Construye interpretaciones históricas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.17: 3RO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE. Grado: Secundaria 3ro. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente el espacio y el ambiente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.18: 3RO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS. Grado: Secundaria 3ro. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente los recursos ecológicos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.19: 3RO_COMUNICACION_LENGUA_ESCRIBE. Grado: Secundaria 3ro. Calificación obtenida en: Comunicación en lengua materna. Competencia: Escribe diversos tipos de texto..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.2: 3RO_COMUNICACION_LENGUA_LEE. Grado: Secundaria 3ro. Calificación obtenida en: Comunicación en lengua materna. Competencia: Lee diversos tipos de textos escritos .
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.21: 3RO_COMUNICACION_LENGUA_COMUNICA. Grado: Secundaria 3ro. Calificación obtenida en: Comunicación en lengua materna. Competencia: Se comunica oralmente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.22: 3RO_MATEMATICA_CANTIDAD. Grado: Secundaria 3ro. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de cantidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.23: 3RO_MATEMATICA_FORMA. Grado: Secundaria 3ro. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de forma y movimiento..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.24: 3RO_MATEMATICA_GESTION_DATOS. Grado: Secundaria 3ro. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de gestión de datos e incertidumbre..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.25: 3RO_MATEMATICA_REGULARIDAD_EQUIVALENCIA. Grado: Secundaria 3ro. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de regularidad, equivalencia y cambio..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.26: 4TO_CIENCIA_TECNOLOGIA_DISEÑA. Grado: Secundaria 4to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Diseña y construye soluciones tecnológicas para resolver problemas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.27: 4TO_CIENCIA_TECNOLOGIA_EXPLICA. Grado: Secundaria 4to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Explica el mundo físico basándose en conocimientos sobre los seres vivos, materia y energía, biodiversidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.28: 4TO_CIENCIA_TECNOLOGIA_INDAGA. Grado: Secundaria 4to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Indaga mediante métodos científicos para construir sus conocimientos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.29: 4TO_CIENCIAS_SOCIALES_CONSTRUYE. Grado: Secundaria 4to. Calificación obtenida en: Ciencias Sociales. Competencia: Construye interpretaciones históricas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.3: 4TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE. Grado: Secundaria 4to. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente el espacio y el ambiente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.31: 4TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS. Grado: Secundaria 4to. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente los recursos ecológicos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.32: 4TO_COMUNICACION_LENGUA_ESCRIBE. Grado: Secundaria 4to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Escribe diversos tipos de texto..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.33: 4TO_COMUNICACION_LENGUA_LEE. Grado: Secundaria 4to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Lee diversos tipos de textos escritos .
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.34: 4TO_COMUNICACION_LENGUA_COMUNICA. Grado: Secundaria 4to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Se comunica oralmente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.35: 4TO_MATEMATICA_CANTIDAD. Grado: Secundaria 4to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de cantidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.36: 4TO_MATEMATICA_FORMA. Grado: Secundaria 4to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de forma y movimiento..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.37: 4TO_MATEMATICA_GESTION_DATOS. Grado: Secundaria 4to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de gestión de datos e incertidumbre..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.38: 4TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA. Grado: Secundaria 4to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de regularidad, equivalencia y cambio..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.39: 5TO_CIENCIA_TECNOLOGIA_DISEÑA. Grado: Secundaria 5to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Diseña y construye soluciones tecnológicas para resolver problemas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.4: 5TO_CIENCIA_TECNOLOGIA_EXPLICA. Grado: Secundaria 5to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Explica el mundo físico basándose en conocimientos sobre los seres vivos, materia y energía, biodiversidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.41: 5TO_CIENCIA_TECNOLOGIA_INDAGA. Grado: Secundaria 5to. Calificación obtenida en: Ciencia y Tecnología. Competencia: Indaga mediante métodos científicos para construir sus conocimientos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.42: 5TO_CIENCIAS_SOCIALES_CONSTRUYE. Grado: Secundaria 5to. Calificación obtenida en: Ciencias Sociales. Competencia: Construye interpretaciones históricas..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.43: 5TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE. Grado: Secundaria 5to. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente el espacio y el ambiente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.44: 5TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS. Grado: Secundaria 5to. Calificación obtenida en: Ciencias Sociales. Competencia: Gestiona responsablemente los recursos ecológicos..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.45: 5TO_COMUNICACION_LENGUA_ESCRIBE. Grado: Secundaria 5to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Escribe diversos tipos de texto..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.46: 5TO_COMUNICACION_LENGUA_LEE. Grado: Secundaria 5to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Lee diversos tipos de textos escritos .
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.47: 5TO_COMUNICACION_LENGUA_COMUNICA. Grado: Secundaria 5to. Calificación obtenida en: Comunicación en lengua materna. Competencia: Se comunica oralmente..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.48: 5TO_MATEMATICA_CANTIDAD. Grado: Secundaria 5to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de cantidad..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.49: 5TO_MATEMATICA_FORMA. Grado: Secundaria 5to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de forma y movimiento..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.5: 5TO_MATEMATICA_GESTION_DATOS. Grado: Secundaria 5to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de gestión de datos e incertidumbre..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

4.51: 5TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA. Grado: Secundaria 5to. Calificación obtenida en: Matemática. Competencia: Resuelve problemas de regularidad, equivalencia y cambio..
[El registro de las calificaciones depende de la modalidad de admisión. CNE=Competencia No Evaluada.]

Admisión UP

5.1: MODALIDAD_DE_ADMISION. Modalidad de admisión utilizada por el alumno al postular a la UP.
[Datos incompletos (para 1048 alumnos)]

5.2: AÑO_INGRESO_CARRERA. Año de ingreso a la carrera.

5.3: SEMESTRE_INGRESO_CARRERA. Semestre de ingreso a la carrera.

Pensiones UP

6.1: BECA. Beca asignada al alumno en el semestre.

6.2: PIDIO_RECATEGORIZACION_DE_ESCALA. Indicador de recategorización de escala.
[ SI=Solicitó recategorización. NO=No solicitó.]

6.3: ESCALA_DE_PAGO_INICIAL. Escala de pago inicial asignado al alumno.

6.4: AÑO_DE_SOLICITUD_DE_RECATEGORIZACION. Año en que solicitó la recategorización.

6.5: ESCALA_DE_PAGO_REGATEGORIZADO. Escala después de la recategorización.

6.6: ASIGNACION_ESCALA_INGRESOS_ESTIMADOS. Ingresos estimados de los padres cuando se asignó la escala.

6.7: ASIGNACION_ESCALA_MONTO_PAGADO_COLEGIO_PROCEDENCIA. Monto pagado por servicios educativos cuando se asignó la escala.

6.8: INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES. Ingreso estimado factorizado por número de miembros de la familiar.
[=ASIGNACION_ESCALA_INGRESOS_ESTIMADOS/(# de miembros de la familia).]

6.9: RECATEGORIZACION_INGRESOS_ESTIMADOS. Ingresos estimados de los padres cuando se recategorizó la escala.

6.1: RECATEGORIZACION_MONTO_PAGADO_COLEGIO_PROCEDENCIA. Monto pagado por servicios educativos cuando se recategorizó la escala.

6.11: RECATEGORIZACION_INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES. Ingreso estimado factorizado por número de miembros de la familiar cuando se recategorizó de escala.
[=RECATEGORIZACION_INGRESOS_ESTIMADOS/(# de miembros de la familia).]

Datos Matrícula

7.1: ESTADO_MATRICULA. Estado de matrícula del alumno en el semestre.

7.2: CARRERA. Carrera que estudia el alumno.

7.3: PLAN_STUDIO. Plan de estudio asignado al alumno.

7.4: PRIMER_SEMESTRE_EN_QUE_CURSO_ESTUDIO. Primer semestre en que cursó estudios después de ingresar a la UP.

7.5: CAMBIO_DE_CARRERA. Indicador de cambio de carrera.
[SI=Cambió de Carrera. NO=No cambió de Carrera.]

7.6: NUMERO_VECES_CAMBIO_CARRERA. Número de veces que cambió la cerrera.

7.7: CARRERA_PROCEDENTE. ¿realizó el cambio de carrera? carrera de procedencia.

7.8: CARRERA_DESTINO. ¿realizó el cambio de carrera? carrera de destino.

7.9: AGREGACION_DE_CARRERA. Carrera de agregación realizado por el alumno.

7.1: FACTOR_DE_INSCRIPCION. Factor de Inscripción para su matrícula.
[Los ingresantes no tienen factor de inscripción en el primer semestre de matrícula]

7.11: CICLO_SEGUN_REGLAMENTO. Ciclo alcanzado por el alumno según el reglamento.

7.12: CREDITOS_ACUMULADO. Número de créditos acumulados por el alumno en la carrera .

7.13: CREDITOS_CICLO. Número de créditos matriculados en el ciclo.

7.14: CICLO_SEMESTRES_MATRICULADOS. Número de semestres matriculados.

7.15: AÑOS_ACUMULADOS_POR_ALUMNO. Número de años matriculados del alumno en la carrera.

7.16: UBICACION_ACTUAL_DEL_ALUMNO_EN_EL_TERCIO. Ubicación actual del alumno en el tercio durante el año.
[Ejemplo:   Posición 179 de 690 alumnos en la carrera]

7.17: TERCIO_SUPERIOR. Indica si el alumno pertenece al tercio superior.
[Si= Pertenece al Tercio Superior. NO=No pertenece]

7.18: TERCIO_MEDIO. Indica si el alumno pertenece al tercio medio.
[Si= Pertenece al Tercio medio. NO=No pertenece]

7.19: TERCIO_INFERIOR. Indica si el alumno pertenece al tercio inferior.
[Si= Pertenece al Tercio inferior. NO=No pertenece]

7.2: PERIODO_DE_EGRESO_DEL_ALUMNO. Periodo Académico de egreso del alumno.

Sanciones UP

8.1: TIENE_PROCESO_DISCIPLINARIO. Indicador de proceso disciplinario.
[SI=El Alumno tiene proceso disciplinario. NO=El alumno no tiene proceso disciplinario.]

8.2: MOTIVO_PROCESO_DISCIPLINARIO. Motivo del proceso disciplinario.

8.3: TIENE_BAJA_ACADEMICA. Indicador de baja académica.
[SI=El Alumno tiene baja académica. NO=El alumno no tiene baja académica.]

8.4: MOTIVO_BAJA_ACADEMICA. Motivo de la baja académica.

8.5: RENUNCIA. Indicador de renuncia a la UP.
[SI=Renunció. NO=No renunció.]

Datos del curso

9.1: CURSOS_OBLIGATORIOS_PLAN_ACADEMICO. Indica la obligatoriedad del curso según su plan académico.
[SI=Es obligatorio. NO=No es obligatorio.]

9.2: CODIGO_DEL_CURSO. Código del curso.

9.3: NOMBRE_DEL_CURSO. Nombre del curso.

9.4: SECCION_DEL_CURSO. Sección del curso.

9.5: DOCENTE_DEL_CURSO. Docente principal del curso sección en el semestre.

9.6: JEFE_DE_PRACTICA_DEL_CURSO. Jefe de práctica del curso sección en el semestre.

9.7: CREDITAJE_DEL_CURSO. Número de creditos académicos del curso.

9.8: ES_CURSO_NIVELATORIO. Indica si el curso es de Nivelatorio o propedéutico.
[SI=Es Nivelatorio. NO=No es Nivelatorio.]

9.9: EXONERADO_CURSO_NIVELATORIO. Indica si el alumno se exoneró del curso Nivelatorio.
[SI=El alumno se ha exonerado. NO=El alumno no se ha exonerado.]

9.1: CURSOS_EQUIVALENTES. Curso equivalente al curso matriculado.

9.11: DEPARTAMENTO_DEL_CURSO. Departamento académico del curso.

9.12: NUMERO_DE_VECES_QUE_LLEVO_EL_CURSO. Número de veces que el alumno se matriculó en el curso.

9.13: NUMERO_DE_ALUMNOS_POR_CURSO. Número de alumnos matriculados en la sección durante el semestre.

9.14: NUMERO_DE_HORAS_TOTALES_DEL_CURSO. Número de horas programadas del curso en el semestre.

9.15: PORCENTAJE_DE_APROBADOS_POR_CURSO. Porcentaje de aprobados en la sección por semestre.

9.16: NUMERO_DE_RETIRADOS_EN_EL_CURSO. Número de alumnos retirados de la sección.
[0=No se retiró de la sección. 1= Se retiró de la sección.]

9.17: NUMERO_DE_RETIRADOS_DE_CICLO. Número de alumnos retirados del ciclo.
[0=No se retiró del ciclo. 1= Se retiró del ciclo.]

9.18: CALIFICACION_DEL_PROFESOR_DE_LA_SECCION. Calificación del profesor en la sección (encuesta docente).

Notas del Curso

9.19: EXAMEN_FINAL_NOTA. Nota del examen final. .
[Notas de 0 a 20. La Nota -1 significa que el alumno no fue evaluado en el Examen Final. REC=Reconocido. ]

9.2: EXAMEN_PARCIAL_NOTA. Nota del examen parcial..
[Notas de 0 a 20. La Nota -1 significa que el alumno no fue evaluado en el Examen Parcial. REC=Reconocido.]

9.21: TRABAJO_NOTA. Nota del trabajo..
[Notas de 0 a 20. La Nota -1 significa que el alumno no tiene nota en el trabajo. REC=Reconocido.]

9.22: NOTA_FINAL_DEL_CURSO. Nota final obtenido por el alumno en el semestre..
[Notas de 0 a 20. La Nota -1 significa que el alumno no tiene nota final del curso. REC=Reconocido. RETC=Retiro de Ciclo. RET=Retiro del curso. NREC=No reconocido. NASI=No asistió. MAT=Matriculado. ASIS=Asistió. RETE=Retiro Excepcional. REPR=Reprobado. RTCE=Retiro de ciclo excepcional.]

9.23: PORCENTAJE_EXAMEN_PARCIAL. Porcentaje del examen parcial que contribuye a la NOTA_FINAL_DEL_CURSO.

9.24: PORCENTAJE_EXAMEN_FINAL. Porcentaje del examen final que contribuye a la NOTA_FINAL_DEL_CURSO.

9.25: PORCENTAJE_TRABAJO. Porcentaje del trabajo que contribuye a la NOTA_FINAL_DEL_CURSO.

9.26: PORCENTAJE_TRABAJO_FINAL. Porcentaje del trabajo final que contribuye a la NOTA_FINAL_DEL_CURSO.

9.27: PORCENTAJE_PROMEDIO_PRACTICA. Porcentaje del promedio de práctica que contribuye a la NOTA_FINAL_DEL_CURSO.

9.28: PORCENTAJE_NOTA_PARCIAL. Porcentaje de la nota parcial que contribuye a la NOTA_FINAL_DEL_CURSO.

9.29: PORCENTAJE_PRE_FINAL. Porcentaje de la nota pre final que contribuye a la NOTA_FINAL_DEL_CURSO.

9.3: PORCENTAJE_NOTA_FINAL. Porcentaje de la nota final que contribuye a la NOTA_FINAL_DEL_CURSO.

9.31: PORCENTAJE_PARTICIPACION. Porcentaje de la nota en las participaciones que contribuye a la NOTA_FINAL_DEL_CURSO.

9.32: PORCENTAJE_ASISTENCIA. Porcentaje de la nota en asistencias que contribuye a la NOTA_FINAL_DEL_CURSO.

9.33: PORCENTAJE_CASOS. Porcentaje de la nota en casos que contribuye a la NOTA_FINAL_DEL_CURSO.

9.34: PORCENTAJE_CONTROL. Porcentaje de la nota en controles que contribuye a la NOTA_FINAL_DEL_CURSO.

9.35: PROMEDIO_ACUMULADO. Promedio acumulado en la carrera que estudia.

9.36: PROMEDIO_CICLO. Promedio obtenido en el ciclo.

Datos laborales

10.1: HA_TENIDO_EL_ROL_DE_JP. ¿Se desempeñó como jefe de práctica (JP)?.
[SI=Se desempeñó como JP, NO=No se desempeñó como JP.]

10.2: HA_TENIDO_EL_ROL_DE_AI_EN_EL_CIUP. ¿Se desempeñó como asistente de investigación (AI)? .
[SI=Se desempeñó como AI, NO=No se desempeñó como AI.]

10.3: NUMERO_DE_PRACTICAS_PREPROFESIONALES. Número de prácticas preprofesionales realizados durante la cerrera.

Características de personalidad

11.1: N_NEUROTICISMO. Características de Personalidad: Evalúa el manejo de emociones, la tolerancia a la frustración y la vulnerabilidad al estrés. Por ello, es mejor contar con puntajes bajos en las facetas que lo componen. Quien puntúa alto en estas dimensiones suele ser propenso a experimentar sentimientos asociados a conductas hostiles, a estados depresivos o a la presencia de ansiedad, así como a ser menos capaz de controlar sus impulsos y a tener dificultades para manejar el estrés. No obstante, los puntajes elevados en depresión o ansiedad, no significan que esté presente un diagnóstico de depresión clínica o un trastorno de ansiedad; sino que hace referencia a que le puede resultar difícil a la persona manejar emociones ansiosas o sentimientos de tristeza y desánimo cuando los experimenta. .
[Puntaje Mujer: [0-86]=Bajo; [87-111] = Medio; [112-192]=Alto / Puntaje Hombre: [0-83]=Bajo; [84-104] = Medio; [105-192]=Alto]

11.2: N1_ANSIEDAD. Características de Personalidad: Tendencia a experimentar aprehensión, temor y tensión, así como diversos miedos.
[Puntaje Mujer: [0-16]=Bajo; [17-21] = Medio; [22-32]=Alto / Puntaje Hombre: [0-15]=Bajo; [16-20] = Medio; [21-32]=Alto]

11.3: N2_HOSTILIDAD. Características de Personalidad: Tendencia a experimentar ira y estados relacionados con ella, como frustración y rencor.
[Puntaje Mujer: [0-12]=Bajo; [13-17] = Medio; [18-32]=Alto / Puntaje Hombre: [0-11]=Bajo; [12-16] = Medio; [17-32]=Alto]

11.4: N3_DEPRESIÓN. Características de Personalidad: Tendencia a experimentar afectos depresivos, como sentimientos de culpa, melancolía, desesperanza y soledad. Asimismo, desanimarse fácilmente y mostrarse a menudo abatido.
[Puntaje Mujer: [0-13]=Bajo; [14-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-12]=Bajo; [13-18] = Medio; [19-32]=Alto]

11.5: N4_ANSIEDAD_SOCIAL. Características de Personalidad: Tendencia a experimenta emociones de vergüenza y turbación; sentirse incómodo con los demás, ser sensible al ridículo y propenso a sentimientos de inferioridad. Esta característica se asemeja a la timidez y ansiedad pública.
[Puntaje Mujer: [0-13]=Bajo; [14-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-12]=Bajo; [13-17] = Medio; [18-32]=Alto]

11.6: N5_IMPULSIVIDAD. Características de Personalidad: Tendencia a sentirse incapaz de controlar los apetitos y arrebatos. Los deseos se perciben de manera tan intensa que no le es posible resistirse a ellos, aunque más adelante se lamente de ese comportamiento..
[Puntaje Mujer: [0-15]=Bajo; [16-20] = Medio; [21-32]=Alto / Puntaje Hombre: [0-15]=Bajo; [16-19] = Medio; [20-32]=Alto]

11.7: N6_VULNERABILIDAD. Características de Personalidad: Sentimientos de incapacidad de luchar contra el estrés, sintiéndose desesperanzado o aterrorizado cuando se tiene que enfrentar a situaciones de emergencia..
[Puntaje Mujer: [0-11]=Bajo; [12-17] = Medio; [18-32]=Alto / Puntaje Hombre: [0-10]=Bajo; [11-15] = Medio; [16-32]=Alto]

11.8: E_EXTROVERSIÓN. Características de Personalidad: Esta área brinda una aproximación al grado de sociabilidad, facilidad para establecer relaciones, asertividad y niveles de energía. Por lo tanto, aquí se trata de un continuo. A un extremo (resultados muy bajos), se encuentra la persona reservada, independiente, solitaria y con un entusiasmo moderado; mientras que, en el otro extremo (resultados muy altos), una persona expresiva, alegre, optimista y animosa. En el medio se aprecia toda una gradiente donde el nivel de esas características va variando. Es importante recordar que un extremo no es mejor que el otro. .
[Puntaje Mujer: [0-104]=Bajo; [105-126] = Medio; [127-192]=Alto / Puntaje Hombre: [0-99]=Bajo; [100-121] = Medio; [122-192]=Alto]

11.9: E1_CORDIALIDAD. Características de Personalidad: Extrovertido, cordial, afectuoso y amistoso; establece fácilmente relaciones con otros..
[Puntaje Mujer: [0-19]=Bajo; [20-23] = Medio; [24-32]=Alto / Puntaje Hombre: [0-17]=Bajo; [18-21] = Medio; [22-32]=Alto]

11.1: E2_GREGARISMO. Características de Personalidad: Prefiere la compañía de los demás, disfruta reuniéndose y divirtiéndose con otros..
[Puntaje Mujer: [0-15]=Bajo; [16-21] = Medio; [22-32]=Alto / Puntaje Hombre: [0-15]=Bajo; [16-20] = Medio; [21-32]=Alto]

11.11: E3_ASERTIVIDAD. Características de Personalidad: Animoso y socialmente destacado; habla sin titubeos y a menudo se convierte en líder de grupo..
[Puntaje Mujer: [0-13]=Bajo; [14-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-13]=Bajo; [14-18] = Medio; [19-32]=Alto]

11.12: E4_ACTIVIDAD. Características de Personalidad: Tendencia a tener mucho vigor y energía, hacer las cosas de manera rápida y sentir la necesidad de estar siempre ocupado..
[Puntaje Mujer: [0-15]=Bajo; [16-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-15]=Bajo; [16-18] = Medio; [19-32]=Alto]

11.13: E5_BÚSQUEDA_DE_EMOCIONES. Características de Personalidad: Tendencia a buscar actividades, situaciones y ambientes que le generen excitación y estimulación. .
[Puntaje Mujer: [0-17]=Bajo; [18-21] = Medio; [22-32]=Alto / Puntaje Hombre: [0-17]=Bajo; [18-22] = Medio; [23-32]=Alto]

11.14: E6_EMOCIONES_POSITIVAS. Características de Personalidad: Tendencia a experimentar emociones positivas como la alegría, la felicidad, el amor y el entusiasmo. Se caracteriza por reír con facilidad y con frecuencia es cariñoso y optimista..
[Puntaje Mujer: [0-18]=Bajo; [19-24] = Medio; [25-32]=Alto / Puntaje Hombre: [0-16]=Bajo; [17-22] = Medio; [23-32]=Alto]

11.15: O_APERTURA. Características de Personalidad: Mide el interés por el entorno y la integración activa al mismo. También considera la sensibilidad estética, la atención y receptividad a los propios sentimientos, la preferencia por la novedad y variedad, la curiosidad intelectual y la búsqueda activa de intereses individuales. .
[Puntaje Mujer: [0-103]=Bajo; [104-122] = Medio; [123-192]=Alto / Puntaje Hombre: [0-102]=Bajo; [103-119] = Medio; [120-192]=Alto]

11.16: O1_FANTASÍA. Características de Personalidad: Posee una buena imaginación y una activa vida fantástica. Sus ensoñaciones no constituyen sólo una forma de evasión, sino una vía para acceder a un interesante mundo interior. Considera que la imaginación proporciona una vida rica y creativa..
[Puntaje Mujer y Hombre: [0-17]=Bajo; [18-22] = Medio; [23-32]=Alto ]

11.17: O2_ESTÉTICA. Características de Personalidad: Aprecia profundamente el arte y la belleza. No es preciso que tenga talento artístico ni “buen gusto”, pero es probable que sus intereses estéticos lo conduzcan a desarrollar sus conocimientos y criterios de apreciación en mayor medida que a la mayoría de la gente..
[Puntaje Mujer: [0-17]=Bajo; [18-23] = Medio; [24-32]=Alto / Puntaje Hombre: [0-15]=Bajo; [16-21] = Medio; [22-32]=Alto]

11.18: O3_SENTIMIENTOS. Características de Personalidad: Receptivo hacia los propios sentimientos y emociones. Considera la emoción como una parte importante de la vida. Experimenta de manera más profunda y diferenciada los estados emocionales y los puede sentir de manera más intensa que los demás..
[Puntaje Mujer: [0-18]=Bajo; [19-22] = Medio; [23-32]=Alto / Puntaje Hombre: [0-17]=Bajo; [18-21] = Medio; [22-32]=Alto]

11.19: O4_ACCIONES. Características de Personalidad: Siente más atracción por la novedad y variedad que por la familiaridad y la rutina. .
[Puntaje Mujer y Hombre: [0-12]=Bajo; [13-16] = Medio; [17-32]=Alto ]

11.2: O5_IDEAS. Características de Personalidad: Posee curiosidad intelectual, busca activamente intereses individuales tanto para su propia satisfacción como por mera curiosidad. Disfruta con discusiones filosóficas y problemas ingeniosos. .
[Puntaje Mujer: [0-15]=Bajo; [16-20] = Medio; [21-32]=Alto / Puntaje Hombre: [0-16]=Bajo; [17-22] = Medio; [23-32]=Alto]

11.21: O6_VALORES. Características de Personalidad: Disposición para cuestionar los valores sociales, políticos y religiosos..
[Puntaje Mujer: [0-16]=Bajo; [17-20] = Medio; [21-32]=Alto / Puntaje Hombre: [0-17]=Bajo; [18-20] = Medio; [21-32]=Alto]

11.22: A_AMABILIDAD. Características de Personalidad: La Amabilidad, así como la Extraversión, presenta un continuo. A un extremo (puntajes muy bajos) tenemos a una persona egocéntrica, desconfiada y crítica, mientras que al otro (puntajes muy altos) se encuentra una persona altruista, confiada de los demás y con bastante disposición a comprender a los otros. De igual manera, en el medio contamos con una gradiente. En esta área es importante recordar que ninguno de los polos es mejor que el otro desde el punto de vista social ni en términos de salud mental. Por lo tanto, los resultados en Amabilidad deben leerse dentro del entorno y las circunstancias que rodean a la persona. .
[Puntaje Mujer: [0-100]=Bajo; [101-117] = Medio; [118-192]=Alto / Puntaje Hombre: [0-93]=Bajo; [94-111] = Medio; [112-192]=Alto]

11.23: A1_CONFIANZA. Características de Personalidad: Está dispuesto a creer que los demás son honestos y bien intencionados..
[Puntaje Mujer: [0-14]=Bajo; [15-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-12]=Bajo; [13-18] = Medio; [19-32]=Alto]

11.24: A2_FRANQUEZA. Características de Personalidad: Persona franca y sincera, que puede ser ingenua..
[Puntaje Mujer: [0-15]=Bajo; [16-20] = Medio; [21-32]=Alto / Puntaje Hombre: [0-13]=Bajo; [14-18] = Medio; [19-32]=Alto]

11.25: A3_ALTRUISMO. Características de Personalidad: Se preocupa activamente por el bienestar de otros y se muestra dispuesto a prestar ayuda a los que la necesitan.
[Puntaje Mujer: [0-19]=Bajo; [20-23] = Medio; [24-32]=Alto / Puntaje Hombre: [0-18]=Bajo; [19-22] = Medio; [23-32]=Alto]

11.26: A4_ACTITUD_CONCILIADORA. Características de Personalidad: Condescendiente ante los conflictos interpersonales, inhibe la agresión y prefiere perdonar rápidamente. Es apacible y benigna..
[Puntaje Mujer y Hombre: [0-12]=Bajo; [13-17] = Medio; [18-32]=Alto ]

11.27: A5_MODESTIA. Características de Personalidad: Humilde, trata de pasar desapercibido, aunque no necesariamente carezca de autoconfianza o autoestima..
[Puntaje Mujer: [0-13]=Bajo; [14-18] = Medio; [19-32]=Alto / Puntaje Hombre: [0-12]=Bajo; [13-18] = Medio; [19-32]=Alto]

11.28: A6_SENSIBILIDAD_A_LOS_DEMÁS. Características de Personalidad: Muestra actitudes de simpatía y preocupación por los demás. Se siente afectado por las necesidades ajenas y da importancia a la vertiente humana de las normas sociales..
[Puntaje Mujer: [0-19]=Bajo; [20-22] = Medio; [23-32]=Alto / Puntaje Hombre: [0-18]=Bajo; [19-21] = Medio; [22-32]=Alto]

11.29: C_RESONSABILIDAD. Características de Personalidad: Hace referencia a cómo se llevan a cabo los procesos de planificación, organización y ejecución de tareas y logro de objetivos. Considera la voluntad, el sentido de competencia personal, la toma de decisiones y el sentido ético. Por ello, es recomendable presentar puntajes de medios a altos en esta área. En diversas investigaciones, se han asociado los puntajes altos con un buen rendimiento académico. Sin embargo, los puntajes muy altos también se encuentran asociados con aspectos no tan positivos, como la pulcritud compulsiva o la adicción al trabajo..
[Puntaje Mujer: [0-99]=Bajo; [100-121] = Medio; [122-192]=Alto / Puntaje Hombre: [0-98]=Bajo; [99-119] = Medio; [120-192]=Alto]

11.3: C1_COMPETENCIA. Características de Personalidad: Hace referencia a sentirse capaz y eficaz, así como sensible y prudente. Considerándose bien preparado para enfrentar a la vida. .
[Puntaje Mujer: [0-17]=Bajo; [18-22] = Medio; [23-32]=Alto / Puntaje Hombre: [0-18]=Bajo; [19-22] = Medio; [23-32]=Alto]

11.31: C2_ORDEN. Características de Personalidad: Hace referencia a la pulcritud, la buena organización y limpieza. .
[Puntaje Mujer y Hombre: [0-13]=Bajo; [17-18] = Medio; [19-32]=Alto ]

11.32: C3_SENTIDO_DEL_DEBER. Características de Personalidad: tendencia a adherirse estrictamente a los principios éticos y cumplir escrupulosamente con las obligaciones Morales. En ese sentido, refleja a una persona que se encuentra guiada por su conciencia. .
[Puntaje Mujer: [0-18]=Bajo; [19-23] = Medio; [24-32]=Alto / Puntaje Hombre: [0-18]=Bajo; [19-22] = Medio; [23-32]=Alto]

11.33: C4_NECESIDAD_DE_LOGRO. Características de Personalidad: Características de Personalidad: Hace referencia a poseer altos niveles de aspiración y trabajar intensamente para lograr los objetivos trazados. En ese sentido, refleja a una persona diligente y resuelta, que se marca una dirección en la vida..
[Puntaje Mujer y Hombre: [0-17]=Bajo; [18-22] = Medio; [23-32]=Alto]

11.34: C5_AUTODISCIPLINA. Características de Personalidad: Características de Personalidad: Hace referencia a la habilidad para iniciar tareas y llevarlas a cabo hasta el final a pesar de los inconvenientes y distracciones. Asimismo, refleja la capacidad de motivarse a sí mismo. .
[Puntaje Mujer y Hombre: [0-13]=Bajo; [14-18] = Medio; [19-32]=Alto]

11.35: C6_DELIBERACIÓN. Características de Personalidad: Reflexivo y prudente, tiende a pensar mucho las cosas antes de actuar..
[Puntaje Mujer: [0-13]=Bajo; [14-19] = Medio; [20-32]=Alto / Puntaje Hombre: [0-14]=Bajo; [15-19] = Medio; [20-32]=Alto]

Estrategias de aprendizaje_Estrategias cognitivas y metacognitivas

12.1: ENSAYO. Estrategias de aprendizaje: Leer apuntes de clases y memorizar listas de palabras y conceptos claves..
[Puntaje: [20-44]=Bajo; [45-55] = Medio;[56-80]=Alto]

12.2: Estrategias de aprendizaje: ELABORACIÓN. Estrategias de aprendizaje: Parafrasear el material estudiado y relacionar los conocimientos nuevos adquiridos con los aprendidos previamente..
[Puntaje: [20-44]=Bajo; [45-55] = Medio;[56-80]=Alto]

12.3: Estrategias de aprendizaje: ORGANIZACIÓN. Estrategias de aprendizaje: Seleccionar la información importante del material estudiado y organizarla o estructurarla..
[Puntaje: [20-44]=Bajo; [45-55] = Medio;[56-80]=Alto]

12.4: PENSAMIENTO_CRÍTICO. Estrategias de aprendizaje: Emplear conocimientos previos a nuevas situaciones para resolver problemas, tomar una decisión o hacer evaluaciones críticas..
[Puntaje: [20-44]=Bajo; [45-55] = Medio;[56-80]=Alto]

12.5: AUTO_REGULACIÓN_METACOGNITIVA. Estrategias de aprendizaje: Estrategias de aprendizaje: Establecer objetivos antes del inicio del estudio, analizar el tipo de tarea que se realizará, evaluar el nivel de aprendizaje, identificar dificultades al momento de llevar a cabo una tarea y realizar ajustes..
[Puntaje: [20-44]=Bajo; [45-55] = Medio;[56-80]=Alto]

Estrategias de aprendizaje_Estrategias de gestión de recursos

12.6: TIEMPO_Y_AMBIENTE_DE_ESTUDIO. Estrategias de aprendizaje: Manipulación y manejo del tiempo y el ambiente de estudio. Contar un espacio tranquilo, bien iluminado y ordenado, realizar un horario y planificar el tiempo, haciendo uso eficiente del mismo y planteando metas realistas en cada bloque de estudio..
[Puntaje: [Menor o igual que 41]=Bajo; [42-47] = Medio;[Mayor o igual que 48]=Alto]

12.7: REGULACIÓN_DEL_ESFUERZO. Estrategias de aprendizaje: Monitoreo y control de rendimiento y atención, con la finalidad de desarrollar y finalizar actividades, incluso balo la presencia de distractores o frente a tareas poco interesantes..
[Puntaje: [Menor o igual que 21]=Bajo; [22-24] = Medio;[Mayor o igual que 25]=Alto]

12.8: APRENDIZAJE_ENTRE_IGUALES. Estrategias de aprendizaje: Realización de actividades que busquen alcanzar una meta de aprendizaje mediante modalidades grupales..
[Puntaje: [Menor o igual que 13]=Bajo; [14-15] = Medio;[Mayor o igual que 16]=Alto]

12.9: BÚSQUEDA_DE_AYUDA. Estrategias de aprendizaje: Búsqueda de ayuda o apoyo cuando se distingue que se es incapaz de resolver o realizar una tarea por sí solo..
[Puntaje: [Menor o igual que 19]=Bajo; [20-22] = Medio;[Mayor o igual que 23]=Alto]

Percepción de soporte social

13.1: FAMILIA. Percepción de soporte social: Considera a su familia como una fuente de soporte y, por ello, suele recurrir a ellos cuando tiene algún problema o para compartir cómo se siente..
[Puntaje: [4-18]=Bajo; [19-20] = Medio;[Mayor o igual que 21]=Alto]

13.2: AMIGOS. Percepción de soporte social: Considera a sus amigos como una fuente de soporte y, por ello, suele recurrir a ellos cuando tiene algún problema o para compartir cómo se siente..
[Puntaje: [4-17]=Bajo; [18-19] = Medio;[Mayor o igual que 20]=Alto]

13.3: PERSONAS_RELEVANTES. Percepción de soporte social: Considera a otras personas importantes en su vida (ej.: pareja, profesor/a, padrino/madrina, etc.) como una fuente de soporte y, por ello, suele recurrir a ellos cuando tiene algún problema o para compartir cómo se siente..
[Puntaje: [4-18]=Bajo; [19-20] = Medio;[Mayor o igual que 21]=Alto]

Hábitos de salud

14.1: HABITO_SALUD1. 1. ¿Sueles desayunar antes de iniciar tus actividades diarias?.

14.2: HABITO_SALUD2. 2. En el último mes, ¿has mantenido un horario regular para desayunar y almorzar? .

14.3: HABITO_SALUD3. 3. En el último mes, ¿con qué frecuencia consumiste comida rápida (por ejemplo, Pizza Hut, Mc Donalds, Bembos o KFC)?.

14.4: HABITO_SALUD4. 4. En el último mes, ¿con qué frecuencia tomaste bebidas energéticas (por ejemplo, Red Bull o Volt)?.

14.5: HABITO_SALUD5. 5. ¿Cuántas horas en promedio duermes por las noches?.

14.6: HABITO_SALUD6. 6. ¿Cuántas veces a la semana realiza actividad física? .

14.7: HABITO_SALUD7. 7. En el último mes, ¿has fumado tabaco? .

14.8: HABITO_SALUD8. 8. En el último mes, ¿has tomado una bebida que contenía alcohol? .

14.9: HABITO_SALUD9. 9. ¿Alguna vez has consumido marihuana? .

14.1: HABITO_SALUD10. 10. ¿Alguna vez has usado otro tipo de sustancias como cocaína, heroína, éxtasis, poppers, inhaladores, hongos, ácidos o alucinógenos, anfetaminas o metanfetaminas?.

" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# HTML format for the title and content\n", "html_output = \"\"\"\n", "
\n", "

Diccionario de variables

\n", "\"\"\"\n", "\n", "# Initialize a variable to track the current category\n", "current_category = None\n", "\n", "# Iterating through the DataFrame and formatting each row in HTML\n", "for _, row in df_dicc.iterrows():\n", " # Check if the category has changed\n", " if row['Tipo de variable'] != current_category:\n", " # Update the current category\n", " current_category = row['Tipo de variable']\n", " # Add category as subtitle\n", " html_output += f\"

{current_category}

\"\n", " \n", " # Add variable details\n", " html_output += f\"

{row['Ubig']}: {row['Variable']}. {row['Descripción']}.\"\n", " if pd.notna(row['Observaciones']):\n", " html_output += f\"
[{row['Observaciones']}]\"\n", " html_output += \"

\"\n", "\n", "# Closing the div tag\n", "html_output += \"
\"\n", "\n", "# Display the HTML output with scrollbar in a Jupyter Notebook cell\n", "display(HTML(html_output))" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "df.columns = df_dicc['Variable'].values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Data Cleaning" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Displaying initial state of data" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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2722780xffefe52903f95d5e0df532927659199fb10612b0229d...2022II PERF1719LIMA-LIMA-ATELimaLIMA-LIMA-SAN BORJAFALTANTEFALTANTEFALTANTEFALTANTEFALTANTEFALTANTE00REINA DE LAS AMERICAS - LA VICTORIA (La VictoOPCIONALLima-Lima-La VictoriaNONOMIXTO17.016.00.00.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNADADADADADADADADAADADADADADADADADADADADADADADADADAAdmisión Selectiva2022.0I PERSIN BECASI320214.00.000.000.0000.00.00.0MatriculadoAdministración2022-I PER2022-I PERNO0NaNNaNNaN155.6231.01942.0NaNNaNNaNNaNNaNNONaNNONaNNOSI160092Fundamentos de ContabilidadIARIAS PICON, NORMA BEATRIZCEBALLOS VALENCIA, MARÍA ALEJANDRA4NONO166097Contabilidad13570.080005.74141415.0121400400030030000012.7613.82NONO0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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" ], "text/plain": [ " CODIGO_DEL_ALUMNO ACADEMIC_YEAR \\\n", "0 0x003c4717dc61e2a801539565cd9e8167ad6645fa175a... 2018 \n", "1 0x003c4717dc61e2a801539565cd9e8167ad6645fa175a... 2018 \n", "2 0x0090bcfbb9f54edfce3a743cbed4b2b540a7afd08269... 2018 \n", "3 0x00c5536b4ceda92accead7b9258e738be746b2dc0d98... 2018 \n", "4 0x00d135a1b90acfdb8567ee23a352ee17f36a8c7c912e... 2018 \n", "5 0x00f2077826ef3ce3ae63afc85c91b49ece20b4070238... 2018 \n", "6 0x00f2077826ef3ce3ae63afc85c91b49ece20b4070238... 2018 \n", "7 0x00fdbf46d6507eb2e3814a0ec40e3e53b7dd11b4b32e... 2018 \n", "8 0x0107d7ec9a272f83f15540965f9c0dbd10bc89a6fa32... 2018 \n", "9 0x0107d7ec9a272f83f15540965f9c0dbd10bc89a6fa32... 2018 \n", "... ... ... \n", "272274 0xffefe52903f95d5e0df532927659199fb10612b0229d... 2022 \n", "272275 0xffefe52903f95d5e0df532927659199fb10612b0229d... 2022 \n", "272276 0xffefe52903f95d5e0df532927659199fb10612b0229d... 2022 \n", "272277 0xffefe52903f95d5e0df532927659199fb10612b0229d... 2022 \n", "272278 0xffefe52903f95d5e0df532927659199fb10612b0229d... 2022 \n", "272279 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272280 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272281 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272282 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272283 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "\n", " ACADEMIC_TERM GENERO EDAD_INGRESO EDAD_ACTUAL \\\n", "0 CUR VERANO M 19 29 \n", "1 CUR VERANO M 19 29 \n", "2 CUR VERANO F 16 25 \n", "3 CUR VERANO F 17 24 \n", "4 CUR VERANO M 17 25 \n", "5 CUR VERANO M 17 27 \n", "6 CUR VERANO M 17 27 \n", "7 CUR VERANO M 21 29 \n", "8 CUR VERANO F 16 26 \n", "9 CUR VERANO F 16 26 \n", "... ... ... ... ... \n", "272274 II PER F 17 19 \n", "272275 II PER F 17 19 \n", "272276 II PER F 17 19 \n", "272277 II PER F 17 19 \n", "272278 II PER F 17 19 \n", "272279 II PER M 18 20 \n", "272280 II PER M 18 20 \n", "272281 II PER M 18 20 \n", "272282 II PER M 18 20 \n", "272283 II PER M 18 20 \n", "\n", " LUGAR_DE_NACIMIENTO LUGAR_DE_ORIGEN LUGAR_DE_RESIDENCIA \\\n", "0 TACNA-JORGE BASADRE-ILABAYA Provincia LIMA-LIMA-SAN ISIDRO \n", "1 TACNA-JORGE BASADRE-ILABAYA Provincia LIMA-LIMA-SAN ISIDRO \n", "2 LIMA-LIMA-MIRAFLORES Lima LIMA-LIMA-MIRAFLORES \n", "3 LIMA-LIMA-RIMAC Lima LIMA-LIMA-RÍMAC \n", "4 CARACAS-- Exterior LIMA-LIMA-PUEBLO LIBRE \n", "5 PUNO-SAN ROMAN-JULIACA Provincia LIMA-LIMA-JESÚS MARÍA \n", "6 PUNO-SAN ROMAN-JULIACA Provincia LIMA-LIMA-JESÚS MARÍA \n", "7 CAJAMARCA-CAJAMARCA-CAJAMARCA Provincia LIMA-LIMA-PUEBLO LIBRE \n", "8 LIMA-LIMA-LURIGANCHO Lima LIMA-LIMA-LA VICTORIA \n", "9 LIMA-LIMA-LURIGANCHO Lima LIMA-LIMA-LA VICTORIA \n", "... ... ... ... \n", "272274 LIMA-LIMA-ATE Lima LIMA-LIMA-SAN BORJA \n", "272275 LIMA-LIMA-ATE Lima LIMA-LIMA-SAN BORJA \n", "272276 LIMA-LIMA-ATE Lima LIMA-LIMA-SAN BORJA \n", "272277 LIMA-LIMA-ATE Lima LIMA-LIMA-SAN BORJA \n", "272278 LIMA-LIMA-ATE Lima LIMA-LIMA-SAN BORJA \n", "272279 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272280 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272281 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272282 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272283 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "\n", " GRADO_PADRE OCUPACION_PADRE UBIGEO_PADRE \\\n", "0 FALTANTE FALTANTE FALTANTE \n", "1 FALTANTE FALTANTE FALTANTE \n", "2 FALTANTE FALTANTE FALTANTE \n", "3 Titulo Profesional ADMINISTRADO Lima-Lima-Rímac \n", "4 Titulo Profesional ARQUITECTO Lima-Lima-Surco \n", "5 FALTANTE FALTANTE FALTANTE \n", "6 FALTANTE FALTANTE FALTANTE \n", "7 FALTANTE FALTANTE FALTANTE \n", "8 FALTANTE FALTANTE FALTANTE \n", "9 FALTANTE FALTANTE FALTANTE \n", "... ... ... ... \n", "272274 FALTANTE FALTANTE FALTANTE \n", "272275 FALTANTE FALTANTE FALTANTE \n", "272276 FALTANTE FALTANTE FALTANTE \n", "272277 FALTANTE FALTANTE FALTANTE \n", "272278 FALTANTE FALTANTE FALTANTE \n", "272279 FALTANTE FALTANTE FALTANTE \n", "272280 FALTANTE FALTANTE FALTANTE \n", "272281 FALTANTE FALTANTE FALTANTE \n", "272282 FALTANTE FALTANTE FALTANTE \n", "272283 FALTANTE FALTANTE FALTANTE \n", "\n", " GRADO_MADRE OCUPACION_MADRE UBIGEO_MADRE NUMERO_HERMANOS \\\n", "0 FALTANTE FALTANTE FALTANTE 0 \n", "1 FALTANTE FALTANTE FALTANTE 0 \n", "2 FALTANTE FALTANTE FALTANTE 0 \n", "3 Técnico Superior Empresario Lima-Lima-Rímac 1 \n", "4 Titulo Profesional ARQUITECTA Lima-Lima-Surco 1 \n", "5 FALTANTE FALTANTE FALTANTE 0 \n", "6 FALTANTE FALTANTE FALTANTE 0 \n", "7 FALTANTE FALTANTE FALTANTE 0 \n", "8 FALTANTE FALTANTE FALTANTE 0 \n", "9 FALTANTE FALTANTE FALTANTE 0 \n", "... ... ... ... ... \n", "272274 FALTANTE FALTANTE FALTANTE 0 \n", "272275 FALTANTE FALTANTE FALTANTE 0 \n", "272276 FALTANTE FALTANTE FALTANTE 0 \n", "272277 FALTANTE FALTANTE FALTANTE 0 \n", "272278 FALTANTE FALTANTE FALTANTE 0 \n", "272279 FALTANTE FALTANTE FALTANTE 0 \n", "272280 FALTANTE FALTANTE FALTANTE 0 \n", "272281 FALTANTE FALTANTE FALTANTE 0 \n", "272282 FALTANTE FALTANTE FALTANTE 0 \n", "272283 FALTANTE FALTANTE FALTANTE 0 \n", "\n", " NUMERO_HERMANOS_EN_LA_UP \\\n", "0 0 \n", "1 0 \n", "2 0 \n", "3 0 \n", "4 0 \n", "5 0 \n", "6 0 \n", "7 0 \n", "8 0 \n", "9 0 \n", "... ... \n", "272274 0 \n", "272275 0 \n", "272276 0 \n", "272277 0 \n", "272278 0 \n", "272279 0 \n", "272280 0 \n", "272281 0 \n", "272282 0 \n", "272283 0 \n", "\n", " COLEGIO_DE_PROCEDENCIA \\\n", "0 Aspaen Gimnasio Saucará \n", "1 Aspaen Gimnasio Saucará \n", "2 MATER PURISSIMA AVENIDA DE LA AVIACION 445 \n", "3 NUESTRA SEÑORA DE LA CONSOLACION (Rimac) \n", "4 Alpamayo CALLE BUCARAMANGA 145 \n", "5 FRANCISCANO SAN ROMAN PLAZA DE ARMAS S/N \n", "6 FRANCISCANO SAN ROMAN PLAZA DE ARMAS S/N \n", "7 DAVY AVENIDA HOYOS RUBIO 2684 \n", "8 PAMER - SANTA BEATRIZ JIRON EMILIO FERNANDEZ \n", "9 PAMER - SANTA BEATRIZ JIRON EMILIO FERNANDEZ \n", "... ... \n", "272274 REINA DE LAS AMERICAS - LA VICTORIA (La Victo \n", "272275 REINA DE LAS AMERICAS - LA VICTORIA (La Victo \n", "272276 REINA DE LAS AMERICAS - LA VICTORIA (La Victo \n", "272277 REINA DE LAS AMERICAS - LA VICTORIA (La Victo \n", "272278 REINA DE LAS AMERICAS - LA VICTORIA (La Victo \n", "272279 SAN JOSE HNOS.MARISTAS (Callao - Callao) \n", "272280 SAN JOSE HNOS.MARISTAS (Callao - Callao) \n", "272281 SAN JOSE HNOS.MARISTAS (Callao - Callao) \n", "272282 SAN JOSE HNOS.MARISTAS (Callao - Callao) \n", "272283 SAN JOSE HNOS.MARISTAS (Callao - Callao) \n", "\n", " TIPO_COLEGIO \\\n", "0 OPCIONAL \n", "1 OPCIONAL \n", "2 OPCIONAL \n", "3 OPCIONAL \n", "4 Colegios de Alto Rendimiento \n", "5 OPCIONAL \n", "6 OPCIONAL \n", "7 Bachillerato Internacional \n", "8 OPCIONAL \n", "9 OPCIONAL \n", "... ... \n", "272274 OPCIONAL \n", "272275 OPCIONAL \n", "272276 OPCIONAL \n", "272277 OPCIONAL \n", "272278 OPCIONAL \n", "272279 OPCIONAL \n", "272280 OPCIONAL \n", "272281 OPCIONAL \n", "272282 OPCIONAL \n", "272283 OPCIONAL \n", "\n", " UBIGEO_COLEGIO \\\n", "0 - - Exterior - --- - Exterior - --Bucaramanga \n", "1 - - Exterior - --- - Exterior - --Bucaramanga \n", "2 Lima-Lima-Miraflores \n", "3 Lima-Lima-Rímac \n", "4 Lima-Lima-Ate Vitarte \n", "5 Puno-San Román-Juliaca \n", "6 Puno-San Román-Juliaca \n", "7 Cajamarca-Cajamarca-Cajamarca \n", "8 Lima-Lima-Cercado \n", "9 Lima-Lima-Cercado \n", "... ... \n", "272274 Lima-Lima-La Victoria \n", "272275 Lima-Lima-La Victoria \n", "272276 Lima-Lima-La Victoria \n", "272277 Lima-Lima-La Victoria \n", "272278 Lima-Lima-La Victoria \n", "272279 Callao-Callao-Callao \n", "272280 Callao-Callao-Callao \n", "272281 Callao-Callao-Callao \n", "272282 Callao-Callao-Callao \n", "272283 Callao-Callao-Callao \n", "\n", " BACHILLERATO_INTERNACIONAL COLEGIO_DE_ALTO_RENDIMIENTO \\\n", "0 NO NO \n", "1 NO NO \n", "2 NO NO \n", "3 NO NO \n", "4 SI SI \n", "5 NO NO \n", "6 NO NO \n", "7 SI NO \n", "8 NO NO \n", "9 NO NO \n", "... ... ... \n", "272274 NO NO \n", "272275 NO NO \n", "272276 NO NO \n", "272277 NO NO \n", "272278 NO NO \n", "272279 NO NO \n", "272280 NO NO \n", "272281 NO NO \n", "272282 NO NO \n", "272283 NO NO \n", "\n", " EVALUACION_VIGESIMAL_COMPETENCIAS_MIXTO 3RO_MATEMATICA \\\n", "0 OPCIONAL NaN \n", "1 OPCIONAL NaN \n", "2 VIGESIMAL 19.0 \n", "3 VIGESIMAL 17.0 \n", "4 VIGESIMAL 15.0 \n", "5 OPCIONAL NaN \n", "6 OPCIONAL NaN \n", "7 VIGESIMAL 15.0 \n", "8 OPCIONAL NaN \n", "9 OPCIONAL NaN \n", "... ... ... \n", "272274 MIXTO 17.0 \n", "272275 MIXTO 17.0 \n", "272276 MIXTO 17.0 \n", "272277 MIXTO 17.0 \n", "272278 MIXTO 17.0 \n", "272279 OPCIONAL 0.0 \n", "272280 OPCIONAL 0.0 \n", "272281 OPCIONAL 0.0 \n", "272282 OPCIONAL 0.0 \n", "272283 OPCIONAL 0.0 \n", "\n", " 3RO_COMUNICACION 4TO_MATEMATICA 4TO_COMUNICACION 5TO_MATEMATICA \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 17.0 18.0 16.0 17.0 \n", "3 15.0 17.0 15.0 17.0 \n", "4 14.0 15.0 15.0 17.0 \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 13.0 13.0 13.0 14.0 \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 16.0 0.0 0.0 0.0 \n", "272275 16.0 0.0 0.0 0.0 \n", "272276 16.0 0.0 0.0 0.0 \n", "272277 16.0 0.0 0.0 0.0 \n", "272278 16.0 0.0 0.0 0.0 \n", "272279 0.0 0.0 0.0 0.0 \n", "272280 0.0 0.0 0.0 0.0 \n", "272281 0.0 0.0 0.0 0.0 \n", "272282 0.0 0.0 0.0 0.0 \n", "272283 0.0 0.0 0.0 0.0 \n", "\n", " 5TO_COMUNICACION 3RO_CIENCIA_TECNOLOGIA_DISEÑA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 16.0 NaN \n", "3 15.0 NaN \n", "4 18.0 NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 15.0 NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 0.0 NaN \n", "272275 0.0 NaN \n", "272276 0.0 NaN \n", "272277 0.0 NaN \n", "272278 0.0 NaN \n", "272279 0.0 NaN \n", "272280 0.0 NaN \n", "272281 0.0 NaN \n", "272282 0.0 NaN \n", "272283 0.0 NaN \n", "\n", " 3RO_CIENCIA_TECNOLOGIA_EXPLICA 3RO_CIENCIA_TECNOLOGIA_INDAGA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 3RO_CIENCIAS_SOCIALES_CONSTRUYE 3RO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 3RO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "... ... \n", "272274 NaN \n", "272275 NaN \n", "272276 NaN \n", "272277 NaN \n", "272278 NaN \n", "272279 NaN \n", "272280 NaN \n", "272281 NaN \n", "272282 NaN \n", "272283 NaN \n", "\n", " 3RO_COMUNICACION_LENGUA_ESCRIBE 3RO_COMUNICACION_LENGUA_LEE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 3RO_COMUNICACION_LENGUA_COMUNICA 3RO_MATEMATICA_CANTIDAD \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 3RO_MATEMATICA_FORMA 3RO_MATEMATICA_GESTION_DATOS \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 3RO_MATEMATICA_REGULARIDAD_EQUIVALENCIA 4TO_CIENCIA_TECNOLOGIA_DISEÑA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN AD \n", "272275 NaN AD \n", "272276 NaN AD \n", "272277 NaN AD \n", "272278 NaN AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_CIENCIA_TECNOLOGIA_EXPLICA 4TO_CIENCIA_TECNOLOGIA_INDAGA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_CIENCIAS_SOCIALES_CONSTRUYE 4TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "... ... \n", "272274 AD \n", "272275 AD \n", "272276 AD \n", "272277 AD \n", "272278 AD \n", "272279 NaN \n", "272280 NaN \n", "272281 NaN \n", "272282 NaN \n", "272283 NaN \n", "\n", " 4TO_COMUNICACION_LENGUA_ESCRIBE 4TO_COMUNICACION_LENGUA_LEE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_COMUNICACION_LENGUA_COMUNICA 4TO_MATEMATICA_CANTIDAD \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 A AD \n", "272275 A AD \n", "272276 A AD \n", "272277 A AD \n", "272278 A AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_MATEMATICA_FORMA 4TO_MATEMATICA_GESTION_DATOS \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 4TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA 5TO_CIENCIA_TECNOLOGIA_DISEÑA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_CIENCIA_TECNOLOGIA_EXPLICA 5TO_CIENCIA_TECNOLOGIA_INDAGA \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_CIENCIAS_SOCIALES_CONSTRUYE 5TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "... ... \n", "272274 AD \n", "272275 AD \n", "272276 AD \n", "272277 AD \n", "272278 AD \n", "272279 NaN \n", "272280 NaN \n", "272281 NaN \n", "272282 NaN \n", "272283 NaN \n", "\n", " 5TO_COMUNICACION_LENGUA_ESCRIBE 5TO_COMUNICACION_LENGUA_LEE \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_COMUNICACION_LENGUA_COMUNICA 5TO_MATEMATICA_CANTIDAD \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_MATEMATICA_FORMA 5TO_MATEMATICA_GESTION_DATOS \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 AD AD \n", "272275 AD AD \n", "272276 AD AD \n", "272277 AD AD \n", "272278 AD AD \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " 5TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "... ... \n", "272274 A \n", "272275 A \n", "272276 A \n", "272277 A \n", "272278 A \n", "272279 NaN \n", "272280 NaN \n", "272281 NaN \n", "272282 NaN \n", "272283 NaN \n", "\n", " MODALIDAD_DE_ADMISION AÑO_INGRESO_CARRERA \\\n", "0 FALTANTE 2013.0 \n", "1 FALTANTE 2013.0 \n", "2 Admisión Selectiva 2015.0 \n", "3 Admisión Selectiva 2017.0 \n", "4 Admisión Selectiva 2016.0 \n", "5 Admisión Escuela Preuniversitaria 2014.0 \n", "6 Admisión Escuela Preuniversitaria 2014.0 \n", "7 Admisión Regular 2015.0 \n", "8 Admisión Selectiva 2014.0 \n", "9 Admisión Selectiva 2014.0 \n", "... ... ... \n", "272274 Admisión Selectiva 2022.0 \n", "272275 Admisión Selectiva 2022.0 \n", "272276 Admisión Selectiva 2022.0 \n", "272277 Admisión Selectiva 2022.0 \n", "272278 Admisión Selectiva 2022.0 \n", "272279 Admisión Escuela Preuniversitaria 2021.0 \n", "272280 Admisión Escuela Preuniversitaria 2021.0 \n", "272281 Admisión Escuela Preuniversitaria 2021.0 \n", "272282 Admisión Escuela Preuniversitaria 2021.0 \n", "272283 Admisión Escuela Preuniversitaria 2021.0 \n", "\n", " SEMESTRE_INGRESO_CARRERA BECA PIDIO_RECATEGORIZACION_DE_ESCALA \\\n", "0 I PER SIN BECA SI \n", "1 I PER SIN BECA SI \n", "2 I PER SIN BECA NO \n", "3 I PER SIN BECA SI \n", "4 I PER SIN BECA NO \n", "5 I PER SIN BECA NO \n", "6 I PER SIN BECA NO \n", "7 I PER SIN BECA NO \n", "8 I PER SIN BECA NO \n", "9 I PER SIN BECA NO \n", "... ... ... ... \n", "272274 I PER SIN BECA SI \n", "272275 I PER SIN BECA SI \n", "272276 I PER SIN BECA SI \n", "272277 I PER SIN BECA SI \n", "272278 I PER SIN BECA SI \n", "272279 II PER SIN BECA NO \n", "272280 II PER SIN BECA NO \n", "272281 II PER SIN BECA NO \n", "272282 II PER SIN BECA NO \n", "272283 II PER SIN BECA NO \n", "\n", " ESCALA_DE_PAGO_INICIAL AÑO_DE_SOLICITUD_DE_RECATEGORIZACION \\\n", "0 2 2013 \n", "1 2 2013 \n", "2 3 0 \n", "3 4 2018 \n", "4 2 0 \n", "5 2 0 \n", "6 2 0 \n", "7 1 0 \n", "8 4 0 \n", "9 4 0 \n", "... ... ... \n", "272274 3 2021 \n", "272275 3 2021 \n", "272276 3 2021 \n", "272277 3 2021 \n", "272278 3 2021 \n", "272279 6 0 \n", "272280 6 0 \n", "272281 6 0 \n", "272282 6 0 \n", "272283 6 0 \n", "\n", " ESCALA_DE_PAGO_REGATEGORIZADO ASIGNACION_ESCALA_INGRESOS_ESTIMADOS \\\n", "0 1.0 0.00 \n", "1 1.0 0.00 \n", "2 NaN 0.00 \n", "3 5.0 5131.82 \n", "4 NaN 18683.44 \n", "5 NaN 0.00 \n", "6 NaN 0.00 \n", "7 NaN 0.00 \n", "8 NaN 0.00 \n", "9 NaN 0.00 \n", "... ... ... \n", "272274 4.0 0.00 \n", "272275 4.0 0.00 \n", "272276 4.0 0.00 \n", "272277 4.0 0.00 \n", "272278 4.0 0.00 \n", "272279 NaN 0.00 \n", "272280 NaN 0.00 \n", "272281 NaN 0.00 \n", "272282 NaN 0.00 \n", "272283 NaN 0.00 \n", "\n", " ASIGNACION_ESCALA_MONTO_PAGADO_COLEGIO_PROCEDENCIA \\\n", "0 0.00 \n", "1 0.00 \n", "2 0.00 \n", "3 500.00 \n", "4 4244.07 \n", "5 0.00 \n", "6 0.00 \n", "7 0.00 \n", "8 0.00 \n", "9 0.00 \n", "... ... \n", "272274 0.00 \n", "272275 0.00 \n", "272276 0.00 \n", "272277 0.00 \n", "272278 0.00 \n", "272279 0.00 \n", "272280 0.00 \n", "272281 0.00 \n", "272282 0.00 \n", "272283 0.00 \n", "\n", " INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES \\\n", "0 0.000 \n", "1 0.000 \n", "2 0.000 \n", "3 1282.955 \n", "4 4670.860 \n", "5 0.000 \n", "6 0.000 \n", "7 0.000 \n", "8 0.000 \n", "9 0.000 \n", "... ... \n", "272274 0.000 \n", "272275 0.000 \n", "272276 0.000 \n", "272277 0.000 \n", "272278 0.000 \n", "272279 0.000 \n", "272280 0.000 \n", "272281 0.000 \n", "272282 0.000 \n", "272283 0.000 \n", "\n", " RECATEGORIZACION_INGRESOS_ESTIMADOS \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.0 \n", "9 0.0 \n", "... ... \n", "272274 0.0 \n", "272275 0.0 \n", "272276 0.0 \n", "272277 0.0 \n", "272278 0.0 \n", "272279 0.0 \n", "272280 0.0 \n", "272281 0.0 \n", "272282 0.0 \n", "272283 0.0 \n", "\n", " RECATEGORIZACION_MONTO_PAGADO_COLEGIO_PROCEDENCIA \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.0 \n", "9 0.0 \n", "... ... \n", "272274 0.0 \n", "272275 0.0 \n", "272276 0.0 \n", "272277 0.0 \n", "272278 0.0 \n", "272279 0.0 \n", "272280 0.0 \n", "272281 0.0 \n", "272282 0.0 \n", "272283 0.0 \n", "\n", " RECATEGORIZACION_INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES \\\n", "0 0.0 \n", "1 0.0 \n", "2 0.0 \n", "3 0.0 \n", "4 0.0 \n", "5 0.0 \n", "6 0.0 \n", "7 0.0 \n", "8 0.0 \n", "9 0.0 \n", "... ... \n", "272274 0.0 \n", "272275 0.0 \n", "272276 0.0 \n", "272277 0.0 \n", "272278 0.0 \n", "272279 0.0 \n", "272280 0.0 \n", "272281 0.0 \n", "272282 0.0 \n", "272283 0.0 \n", "\n", " ESTADO_MATRICULA CARRERA PLAN_STUDIO \\\n", "0 Matriculado Economía 2015-I PER \n", "1 Matriculado Economía 2015-I PER \n", "2 Matriculado Administración 2015-I PER \n", "3 Matriculado Ingeniería Empresarial 2018-I PER \n", "4 Matriculado Economía 2015-I PER \n", "5 Matriculado Ingeniería Empresarial 2015-I PER \n", "6 Matriculado Ingeniería Empresarial 2015-I PER \n", "7 Matriculado Economía 2015-I PER \n", "8 Matriculado Administración 2015-I PER \n", "9 Matriculado Administración 2015-I PER \n", "... ... ... ... \n", "272274 Matriculado Administración 2022-I PER \n", "272275 Matriculado Administración 2022-I PER \n", "272276 Matriculado Administración 2022-I PER \n", "272277 Matriculado Administración 2022-I PER \n", "272278 Matriculado Administración 2022-I PER \n", "272279 Matriculado Economía 2017-I PER \n", "272280 Matriculado Economía 2017-I PER \n", "272281 Matriculado Economía 2017-I PER \n", "272282 Matriculado Economía 2017-I PER \n", "272283 Matriculado Economía 2017-I PER \n", "\n", " PRIMER_SEMESTRE_EN_QUE_CURSO_ESTUDIO CAMBIO_DE_CARRERA \\\n", "0 2013-I PER NO \n", "1 2013-I PER NO \n", "2 2015-I PER NO \n", "3 2017-I PER NO \n", "4 2016-I PER NO \n", "5 2014-I PER NO \n", "6 2014-I PER NO \n", "7 2015-I PER NO \n", "8 2014-I PER NO \n", "9 2014-I PER NO \n", "... ... ... \n", "272274 2022-I PER NO \n", "272275 2022-I PER NO \n", "272276 2022-I PER NO \n", "272277 2022-I PER NO \n", "272278 2022-I PER NO \n", "272279 2021-II PER NO \n", "272280 2021-II PER NO \n", "272281 2021-II PER NO \n", "272282 2021-II PER NO \n", "272283 2021-II PER NO \n", "\n", " NUMERO_VECES_CAMBIO_CARRERA CARRERA_PROCEDENTE CARRERA_DESTINO \\\n", "0 0 NaN NaN \n", "1 0 NaN NaN \n", "2 0 NaN NaN \n", "3 0 NaN NaN \n", "4 0 NaN NaN \n", "5 0 NaN NaN \n", "6 0 NaN NaN \n", "7 0 NaN NaN \n", "8 0 NaN NaN \n", "9 0 NaN NaN \n", "... ... ... ... \n", "272274 0 NaN NaN \n", "272275 0 NaN NaN \n", "272276 0 NaN NaN \n", "272277 0 NaN NaN \n", "272278 0 NaN NaN \n", "272279 0 NaN NaN \n", "272280 0 NaN NaN \n", "272281 0 NaN NaN \n", "272282 0 NaN NaN \n", "272283 0 NaN NaN \n", "\n", " AGREGACION_DE_CARRERA FACTOR_DE_INSCRIPCION CICLO_SEGUN_REGLAMENTO \\\n", "0 NaN NaN 11 \n", "1 NaN NaN 11 \n", "2 NaN NaN 5 \n", "3 NaN NaN 2 \n", "4 NaN NaN 5 \n", "5 NaN NaN 7 \n", "6 NaN NaN 7 \n", "7 NaN NaN 4 \n", "8 NaN NaN 8 \n", "9 NaN NaN 8 \n", "... ... ... ... \n", "272274 NaN 155.6 2 \n", "272275 NaN 155.6 2 \n", "272276 NaN 155.6 2 \n", "272277 NaN 155.6 2 \n", "272278 NaN 155.6 2 \n", "272279 NaN 216.3 3 \n", "272280 NaN 216.3 3 \n", "272281 NaN 216.3 3 \n", "272282 NaN 216.3 3 \n", "272283 NaN 216.3 3 \n", "\n", " CREDITOS_ACUMULADO CREDITOS_CICLO CICLO_SEMESTRES_MATRICULADOS \\\n", "0 203.0 4 11 \n", "1 203.0 4 11 \n", "2 89.0 4 14 \n", "3 38.0 4 11 \n", "4 88.0 4 12 \n", "5 140.0 5 12 \n", "6 140.0 5 12 \n", "7 76.0 4 14 \n", "8 151.0 5 12 \n", "9 151.0 5 12 \n", "... ... ... ... \n", "272274 31.0 19 4 \n", "272275 31.0 19 4 \n", "272276 31.0 19 4 \n", "272277 31.0 19 4 \n", "272278 31.0 19 4 \n", "272279 52.0 18 5 \n", "272280 52.0 18 5 \n", "272281 52.0 18 5 \n", "272282 52.0 18 5 \n", "272283 52.0 18 5 \n", "\n", " AÑOS_ACUMULADOS_POR_ALUMNO UBICACION_ACTUAL_DEL_ALUMNO_EN_EL_TERCIO \\\n", "0 6.0 NaN \n", "1 6.0 NaN \n", "2 8.0 NaN \n", "3 6.0 NaN \n", "4 6.0 NaN \n", "5 7.0 NaN \n", "6 7.0 NaN \n", "7 7.0 NaN \n", "8 6.0 NaN \n", "9 6.0 NaN \n", "... ... ... \n", "272274 2.0 NaN \n", "272275 2.0 NaN \n", "272276 2.0 NaN \n", "272277 2.0 NaN \n", "272278 2.0 NaN \n", "272279 3.0 199.0 \n", "272280 3.0 199.0 \n", "272281 3.0 199.0 \n", "272282 3.0 199.0 \n", "272283 3.0 199.0 \n", "\n", " TERCIO_SUPERIOR TERCIO_MEDIO TERCIO_INFERIOR \\\n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 SI NO NO \n", "272280 SI NO NO \n", "272281 SI NO NO \n", "272282 SI NO NO \n", "272283 SI NO NO \n", "\n", " PERIODO_DE_EGRESO_DEL_ALUMNO TIENE_PROCESO_DISCIPLINARIO \\\n", "0 NaN NO \n", "1 NaN NO \n", "2 NaN NO \n", "3 NaN NO \n", "4 NaN NO \n", "5 NaN NO \n", "6 NaN NO \n", "7 NaN NO \n", "8 NaN NO \n", "9 NaN NO \n", "... ... ... \n", "272274 NaN NO \n", "272275 NaN NO \n", "272276 NaN NO \n", "272277 NaN NO \n", "272278 NaN NO \n", "272279 NaN NO \n", "272280 NaN NO \n", "272281 NaN NO \n", "272282 NaN NO \n", "272283 NaN NO \n", "\n", " MOTIVO_PROCESO_DISCIPLINARIO TIENE_BAJA_ACADEMICA \\\n", "0 NaN NO \n", "1 NaN NO \n", "2 NaN NO \n", "3 NaN NO \n", "4 NaN NO \n", "5 NaN NO \n", "6 NaN NO \n", "7 NaN NO \n", "8 NaN NO \n", "9 NaN NO \n", "... ... ... \n", "272274 NaN NO \n", "272275 NaN NO \n", "272276 NaN NO \n", "272277 NaN NO \n", "272278 NaN NO \n", "272279 NaN NO \n", "272280 NaN NO \n", "272281 NaN NO \n", "272282 NaN NO \n", "272283 NaN NO \n", "\n", " MOTIVO_BAJA_ACADEMICA RENUNCIA CURSOS_OBLIGATORIOS_PLAN_ACADEMICO \\\n", "0 NaN NO NO \n", "1 NaN NO NO \n", "2 NaN NO SI \n", "3 NaN NO SI \n", "4 NaN NO NO \n", "5 NaN NO NO \n", "6 NaN NO SI \n", "7 NaN NO SI \n", "8 NaN NO NO \n", "9 NaN NO NO \n", "... ... ... ... \n", "272274 NaN NO SI \n", "272275 NaN NO NO \n", "272276 NaN NO SI \n", "272277 NaN NO SI \n", "272278 NaN NO SI \n", "272279 NaN NO SI \n", "272280 NaN NO SI \n", "272281 NaN NO SI \n", "272282 NaN NO SI \n", "272283 NaN NO NO \n", "\n", " CODIGO_DEL_CURSO NOMBRE_DEL_CURSO \\\n", "0 170207 Innovación Textil en Colombia \n", "1 9000387 Taller de Fortalecimiento de Competencia \n", "2 160088 Contabilidad de Gestión \n", "3 130224 Estadística I \n", "4 143344 Gerencia I \n", "5 900218 Taller Prepar. para la Vida Profesional \n", "6 130225 Estadística II \n", "7 150004 Ciencia Política \n", "8 1MN036 Marketing Relacional y CRM \n", "9 141613 Marketplace Management \n", "... ... ... \n", "272274 138649 Matemáticas I \n", "272275 900597 Escritura creativa \n", "272276 120006 Lenguaje II \n", "272277 158109 Sociología \n", "272278 160092 Fundamentos de Contabilidad \n", "272279 138201 Microeconomía I \n", "272280 158109 Sociología \n", "272281 150140 Investigación Académica \n", "272282 130229 Matemáticas IV \n", "272283 900750 Comunicación e influencia en el entorno \n", "\n", " SECCION_DEL_CURSO DOCENTE_DEL_CURSO \\\n", "0 A RODRIGUEZ SERRA, MICHELLE \n", "1 C RUBINA ESPINOSA, MAGALY SUSANA \n", "2 A ESCOBAR ESPINO, ROBERTO DIEGO \n", "3 A TOMA INAFUKO, JORGE \n", "4 B MAYA FLORES, RIGOBERTO MIGLE \n", "5 F RUBINA ESPINOSA, MAGALY SUSANA \n", "6 A RUBIO DONET, JORGE LUIS \n", "7 B BLYDAL , CARL JOHAN \n", "8 A PIPOLI DE AZAMBUJA, GINA MARIA \n", "9 A REATEGUI SCHWARZ, GERARDO \n", "... ... ... \n", "272274 S OLANO CRUCES, MARIO FERNANDO \n", "272275 A2 BOLAÑOS GAMERO, IVAN ENRIQUE \n", "272276 N PINASCO ESPINOSA, SANDRA GABRIELLA \n", "272277 M VALENZUELA GUILLEN, JORGE \n", "272278 I ARIAS PICON, NORMA BEATRIZ \n", "272279 E MANRIQUE ZEDER, LISETH CRISTINA \n", "272280 J LLOSA MONTAGNE, CASANDRA \n", "272281 G PASTOR TORRES, GUSTAVO RICARDO \n", "272282 C GERSHY DAMET VARGAS, KEVIN MARTIN \n", "272283 A2 GRANTHON URIARTE, RONALD JEFRIE \n", "\n", " JEFE_DE_PRACTICA_DEL_CURSO CREDITAJE_DEL_CURSO \\\n", "0 NaN 3 \n", "1 NaN 1 \n", "2 NaN 4 \n", "3 GARCIA RODRIGUEZ, SAMUEL 4 \n", "4 NaN 4 \n", "5 NaN 1 \n", "6 MOTONISHI TUTUMI, ALFONSO NORBERTO 4 \n", "7 NaN 4 \n", "8 NaN 3 \n", "9 NaN 2 \n", "... ... ... \n", "272274 CERNADES GOMEZ, JESUS 5 \n", "272275 BIFFI OLIVAS, PATRICIA EDDA 1 \n", "272276 NaN 4 \n", "272277 NaN 4 \n", "272278 CEBALLOS VALENCIA, MARÍA ALEJANDRA 4 \n", "272279 CALATAYUD MALLQUI, ELMO ANDREE 5 \n", "272280 NaN 4 \n", "272281 NaN 3 \n", "272282 GARZON TRUJILLO, JUAN DIEGO 5 \n", "272283 RODRIGUEZ CUADROS DE MURO, LORENA 1 \n", "\n", " ES_CURSO_NIVELATORIO EXONERADO_CURSO_NIVELATORIO \\\n", "0 NO NO \n", "1 NO NO \n", "2 NO NO \n", "3 NO NO \n", "4 NO NO \n", "5 NO NO \n", "6 NO NO \n", "7 NO NO \n", "8 NO NO \n", "9 NO NO \n", "... ... ... \n", "272274 NO NO \n", "272275 NO NO \n", "272276 NO NO \n", "272277 NO NO \n", "272278 NO NO \n", "272279 NO NO \n", "272280 NO NO \n", "272281 NO NO \n", "272282 NO NO \n", "272283 NO NO \n", "\n", " CURSOS_EQUIVALENTES DEPARTAMENTO_DEL_CURSO \\\n", "0 NaN Ingeniería \n", "1 NaN Oficina del Preboste \n", "2 160136 Contabilidad \n", "3 139643 Economía \n", "4 140825, 142081, 149047 Administración \n", "5 900218_DER Oficina del Preboste \n", "6 137644 Economía \n", "7 150119, 152230 Ciencias Sociales y Políticas \n", "8 NaN Marketing y Negocios Internacionales \n", "9 NaN Administración \n", "... ... ... \n", "272274 110043, 113038, 117005 Economía \n", "272275 NaN Dirección de Formación Extraacadémica \n", "272276 121109, 121143 Humanidades \n", "272277 150058 Ciencias Sociales y Políticas \n", "272278 166097 Contabilidad \n", "272279 132171, 139030 Economía \n", "272280 150058 Ciencias Sociales y Políticas \n", "272281 NaN Ciencias Sociales y Políticas \n", "272282 138652 Economía \n", "272283 NaN Dirección de Formación Extraacadémica \n", "\n", " NUMERO_DE_VECES_QUE_LLEVO_EL_CURSO NUMERO_DE_ALUMNOS_POR_CURSO \\\n", "0 1 18 \n", "1 0 30 \n", "2 1 25 \n", "3 1 30 \n", "4 1 32 \n", "5 0 33 \n", "6 1 29 \n", "7 1 30 \n", "8 1 31 \n", "9 1 31 \n", "... ... ... \n", "272274 2 32 \n", "272275 0 20 \n", "272276 1 30 \n", "272277 1 30 \n", "272278 1 35 \n", "272279 1 30 \n", "272280 1 30 \n", "272281 1 30 \n", "272282 1 35 \n", "272283 0 30 \n", "\n", " NUMERO_DE_HORAS_TOTALES_DEL_CURSO PORCENTAJE_DE_APROBADOS_POR_CURSO \\\n", "0 10.0 89 \n", "1 21.0 100 \n", "2 68.0 96 \n", "3 66.0 83 \n", "4 52.0 96 \n", "5 21.0 100 \n", "6 66.0 96 \n", "7 53.0 96 \n", "8 21.0 96 \n", "9 26.0 93 \n", "... ... ... \n", "272274 84.0 65 \n", "272275 26.0 80 \n", "272276 52.0 70 \n", "272277 54.0 96 \n", "272278 70.0 80 \n", "272279 82.0 70 \n", "272280 52.0 93 \n", "272281 56.0 93 \n", "272282 86.0 31 \n", "272283 26.0 76 \n", "\n", " NUMERO_DE_RETIRADOS_EN_EL_CURSO NUMERO_DE_RETIRADOS_DE_CICLO \\\n", "0 0 0 \n", "1 0 0 \n", "2 0 0 \n", "3 0 0 \n", "4 0 0 \n", "5 0 0 \n", "6 0 0 \n", "7 0 0 \n", "8 0 0 \n", "9 0 0 \n", "... ... ... \n", "272274 0 0 \n", "272275 0 0 \n", "272276 0 0 \n", "272277 0 0 \n", "272278 0 0 \n", "272279 0 0 \n", "272280 0 0 \n", "272281 0 0 \n", "272282 0 0 \n", "272283 0 0 \n", "\n", " CALIFICACION_DEL_PROFESOR_DE_LA_SECCION EXAMEN_FINAL_NOTA \\\n", "0 7.0000 17 \n", "1 0.0000 -1 \n", "2 6.5368 17 \n", "3 3.8088 9 \n", "4 5.6618 13 \n", "5 0.0000 -1 \n", "6 5.9706 4 \n", "7 5.5588 14 \n", "8 6.0221 19 \n", "9 6.6531 -1 \n", "... ... ... \n", "272274 6.8224 6 \n", "272275 0.0000 20 \n", "272276 6.4022 12 \n", "272277 6.5653 16 \n", "272278 5.7414 14 \n", "272279 5.1550 12 \n", "272280 6.3300 20 \n", "272281 6.7209 18 \n", "272282 6.7645 12 \n", "272283 0.0000 20 \n", "\n", " EXAMEN_PARCIAL_NOTA TRABAJO_NOTA NOTA_FINAL_DEL_CURSO \\\n", "0 -1.0 17 17 \n", "1 -1.0 -1 REC \n", "2 -1.0 15 16 \n", "3 13.0 15 13 \n", "4 -1.0 15 14 \n", "5 -1.0 -1 REC \n", "6 10.0 14 11 \n", "7 12.0 14 14 \n", "8 -1.0 19 19 \n", "9 -1.0 16 16 \n", "... ... ... ... \n", "272274 13.0 13 11 \n", "272275 -1.0 -1 REC \n", "272276 16.0 15 14 \n", "272277 18.0 17 17 \n", "272278 15.0 12 14 \n", "272279 15.0 16 15 \n", "272280 18.0 17 18 \n", "272281 -1.0 -1 18 \n", "272282 10.0 14 12 \n", "272283 -1.0 -1 REC \n", "\n", " PORCENTAJE_EXAMEN_PARCIAL PORCENTAJE_EXAMEN_FINAL \\\n", "0 0 0 \n", "1 0 0 \n", "2 0 0 \n", "3 0 0 \n", "4 0 0 \n", "5 0 0 \n", "6 0 0 \n", "7 0 0 \n", "8 0 0 \n", "9 0 0 \n", "... ... ... \n", "272274 0 0 \n", "272275 0 0 \n", "272276 0 0 \n", "272277 0 0 \n", "272278 0 0 \n", "272279 0 0 \n", "272280 0 0 \n", "272281 0 0 \n", "272282 0 0 \n", "272283 0 0 \n", "\n", " PORCENTAJE_TRABAJO PORCENTAJE_TRABAJO_FINAL \\\n", "0 40 0 \n", "1 0 0 \n", "2 40 0 \n", "3 50 0 \n", "4 60 0 \n", "5 0 0 \n", "6 50 0 \n", "7 60 0 \n", "8 70 0 \n", "9 100 0 \n", "... ... ... \n", "272274 40 0 \n", "272275 0 0 \n", "272276 40 0 \n", "272277 50 0 \n", "272278 40 0 \n", "272279 40 0 \n", "272280 50 0 \n", "272281 0 0 \n", "272282 40 0 \n", "272283 0 0 \n", "\n", " PORCENTAJE_PROMEDIO_PRACTICA PORCENTAJE_NOTA_PARCIAL \\\n", "0 0 0 \n", "1 0 0 \n", "2 0 0 \n", "3 0 25 \n", "4 0 0 \n", "5 0 0 \n", "6 0 25 \n", "7 0 20 \n", "8 0 0 \n", "9 0 0 \n", "... ... ... \n", "272274 0 30 \n", "272275 0 0 \n", "272276 0 30 \n", "272277 0 20 \n", "272278 0 30 \n", "272279 0 30 \n", "272280 0 20 \n", "272281 0 0 \n", "272282 0 30 \n", "272283 0 0 \n", "\n", " PORCENTAJE_PRE_FINAL PORCENTAJE_NOTA_FINAL PORCENTAJE_PARTICIPACION \\\n", "0 0 60 0 \n", "1 0 0 0 \n", "2 0 60 0 \n", "3 0 25 0 \n", "4 0 40 0 \n", "5 0 0 0 \n", "6 0 25 0 \n", "7 0 20 0 \n", "8 0 30 0 \n", "9 0 0 0 \n", "... ... ... ... \n", "272274 0 30 0 \n", "272275 0 100 0 \n", "272276 0 30 0 \n", "272277 0 30 0 \n", "272278 0 30 0 \n", "272279 0 30 0 \n", "272280 0 30 0 \n", "272281 0 100 0 \n", "272282 0 30 0 \n", "272283 0 100 0 \n", "\n", " PORCENTAJE_ASISTENCIA PORCENTAJE_CASOS PORCENTAJE_CONTROL \\\n", "0 0 0 0 \n", "1 100 0 0 \n", "2 0 0 0 \n", "3 0 0 0 \n", "4 0 0 0 \n", "5 100 0 0 \n", "6 0 0 0 \n", "7 0 0 0 \n", "8 0 0 0 \n", "9 0 0 0 \n", "... ... ... ... \n", "272274 0 0 0 \n", "272275 0 0 0 \n", "272276 0 0 0 \n", "272277 0 0 0 \n", "272278 0 0 0 \n", "272279 0 0 0 \n", "272280 0 0 0 \n", "272281 0 0 0 \n", "272282 0 0 0 \n", "272283 0 0 0 \n", "\n", " PROMEDIO_ACUMULADO PROMEDIO_CICLO HA_TENIDO_EL_ROL_DE_JP \\\n", "0 13.45 17.00 NO \n", "1 13.45 17.00 NO \n", "2 12.44 16.00 NO \n", "3 14.22 13.00 NO \n", "4 14.09 14.00 NO \n", "5 13.13 11.00 NO \n", "6 13.13 11.00 NO \n", "7 12.37 14.00 NO \n", "8 16.58 17.80 NO \n", "9 16.58 17.80 NO \n", "... ... ... ... \n", "272274 12.76 13.82 NO \n", "272275 12.76 13.82 NO \n", "272276 12.76 13.82 NO \n", "272277 12.76 13.82 NO \n", "272278 12.76 13.82 NO \n", "272279 15.34 15.35 NO \n", "272280 15.34 15.35 NO \n", "272281 15.34 15.35 NO \n", "272282 15.34 15.35 NO \n", "272283 15.34 15.35 NO \n", "\n", " HA_TENIDO_EL_ROL_DE_AI_EN_EL_CIUP \\\n", "0 NO \n", "1 NO \n", "2 NO \n", "3 NO \n", "4 NO \n", "5 NO \n", "6 NO \n", "7 NO \n", "8 NO \n", "9 NO \n", "... ... \n", "272274 NO \n", "272275 NO \n", "272276 NO \n", "272277 NO \n", "272278 NO \n", "272279 NO \n", "272280 NO \n", "272281 NO \n", "272282 NO \n", "272283 NO \n", "\n", " NUMERO_DE_PRACTICAS_PREPROFESIONALES N_NEUROTICISMO N1_ANSIEDAD \\\n", "0 2 NaN NaN \n", "1 2 NaN NaN \n", "2 2 NaN NaN \n", "3 2 NaN NaN \n", "4 2 NaN NaN \n", "5 2 NaN NaN \n", "6 2 NaN NaN \n", "7 1 NaN NaN \n", "8 2 NaN NaN \n", "9 2 NaN NaN \n", "... ... ... ... \n", "272274 0 NaN NaN \n", "272275 0 NaN NaN \n", "272276 0 NaN NaN \n", "272277 0 NaN NaN \n", "272278 0 NaN NaN \n", "272279 0 NaN NaN \n", "272280 0 NaN NaN \n", "272281 0 NaN NaN \n", "272282 0 NaN NaN \n", "272283 0 NaN NaN \n", "\n", " N2_HOSTILIDAD N3_DEPRESIÓN N4_ANSIEDAD_SOCIAL N5_IMPULSIVIDAD \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN \n", "\n", " N6_VULNERABILIDAD E_EXTROVERSIÓN E1_CORDIALIDAD E2_GREGARISMO \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN \n", "\n", " E3_ASERTIVIDAD E4_ACTIVIDAD E5_BÚSQUEDA_DE_EMOCIONES \\\n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 NaN NaN NaN \n", "272280 NaN NaN NaN \n", "272281 NaN NaN NaN \n", "272282 NaN NaN NaN \n", "272283 NaN NaN NaN \n", "\n", " E6_EMOCIONES_POSITIVAS O_APERTURA O1_FANTASÍA O2_ESTÉTICA \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN \n", "\n", " O3_SENTIMIENTOS O4_ACCIONES O5_IDEAS O6_VALORES A_AMABILIDAD \\\n", "0 NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "272274 NaN NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN NaN \n", "\n", " A1_CONFIANZA A2_FRANQUEZA A3_ALTRUISMO A4_ACTITUD_CONCILIADORA \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN \n", "\n", " A5_MODESTIA A6_SENSIBILIDAD_A_LOS_DEMÁS C_RESONSABILIDAD \\\n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 NaN NaN NaN \n", "272280 NaN NaN NaN \n", "272281 NaN NaN NaN \n", "272282 NaN NaN NaN \n", "272283 NaN NaN NaN \n", "\n", " C1_COMPETENCIA C2_ORDEN C3_SENTIDO_DEL_DEBER C4_NECESIDAD_DE_LOGRO \\\n", "0 NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN \n", "... ... ... ... ... \n", "272274 NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN \n", "\n", " C5_AUTODISCIPLINA C6_DELIBERACIÓN ENSAYO \\\n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 NaN NaN NaN \n", "272280 NaN NaN NaN \n", "272281 NaN NaN NaN \n", "272282 NaN NaN NaN \n", "272283 NaN NaN NaN \n", "\n", " Estrategias de aprendizaje: ELABORACIÓN \\\n", "0 NaN \n", "1 NaN \n", "2 NaN \n", "3 NaN \n", "4 NaN \n", "5 NaN \n", "6 NaN \n", "7 NaN \n", "8 NaN \n", "9 NaN \n", "... ... \n", "272274 NaN \n", "272275 NaN \n", "272276 NaN \n", "272277 NaN \n", "272278 NaN \n", "272279 NaN \n", "272280 NaN \n", "272281 NaN \n", "272282 NaN \n", "272283 NaN \n", "\n", " Estrategias de aprendizaje: ORGANIZACIÓN PENSAMIENTO_CRÍTICO \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " AUTO_REGULACIÓN_METACOGNITIVA TIEMPO_Y_AMBIENTE_DE_ESTUDIO \\\n", "0 NaN NaN \n", "1 NaN NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "5 NaN NaN \n", "6 NaN NaN \n", "7 NaN NaN \n", "8 NaN NaN \n", "9 NaN NaN \n", "... ... ... \n", "272274 NaN NaN \n", "272275 NaN NaN \n", "272276 NaN NaN \n", "272277 NaN NaN \n", "272278 NaN NaN \n", "272279 NaN NaN \n", "272280 NaN NaN \n", "272281 NaN NaN \n", "272282 NaN NaN \n", "272283 NaN NaN \n", "\n", " REGULACIÓN_DEL_ESFUERZO APRENDIZAJE_ENTRE_IGUALES BÚSQUEDA_DE_AYUDA \\\n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 NaN NaN NaN \n", "272280 NaN NaN NaN \n", "272281 NaN NaN NaN \n", "272282 NaN NaN NaN \n", "272283 NaN NaN NaN \n", "\n", " FAMILIA AMIGOS PERSONAS_RELEVANTES HABITO_SALUD1 HABITO_SALUD2 \\\n", "0 NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "272274 NaN NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN NaN \n", "\n", " HABITO_SALUD3 HABITO_SALUD4 HABITO_SALUD5 HABITO_SALUD6 HABITO_SALUD7 \\\n", "0 NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "272274 NaN NaN NaN NaN NaN \n", "272275 NaN NaN NaN NaN NaN \n", "272276 NaN NaN NaN NaN NaN \n", "272277 NaN NaN NaN NaN NaN \n", "272278 NaN NaN NaN NaN NaN \n", "272279 NaN NaN NaN NaN NaN \n", "272280 NaN NaN NaN NaN NaN \n", "272281 NaN NaN NaN NaN NaN \n", "272282 NaN NaN NaN NaN NaN \n", "272283 NaN NaN NaN NaN NaN \n", "\n", " HABITO_SALUD8 HABITO_SALUD9 HABITO_SALUD10 \n", "0 NaN NaN NaN \n", "1 NaN NaN NaN \n", "2 NaN NaN NaN \n", "3 NaN NaN NaN \n", "4 NaN NaN NaN \n", "5 NaN NaN NaN \n", "6 NaN NaN NaN \n", "7 NaN NaN NaN \n", "8 NaN NaN NaN \n", "9 NaN NaN NaN \n", "... ... ... ... \n", "272274 NaN NaN NaN \n", "272275 NaN NaN NaN \n", "272276 NaN NaN NaN \n", "272277 NaN NaN NaN \n", "272278 NaN NaN NaN \n", "272279 NaN NaN NaN \n", "272280 NaN NaN NaN \n", "272281 NaN NaN NaN \n", "272282 NaN NaN NaN \n", "272283 NaN NaN NaN \n", "\n", "[272284 rows x 203 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Apply CSS to left-align headers, prevent text wrapping, and set max width to header width\n", "display(HTML(\"\"\"\n", "\n", "\"\"\"))\n", "\n", "# Now display your DataFrame\n", "with pd.option_context(\n", " \"display.min_rows\", 20,\n", " 'display.max_columns', None\n", " ):\n", " display(df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Missing Values and Categoricals" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "df['SECCION_DEL_CURSO'] = df['SECCION_DEL_CURSO'].str.upper()\n", "\n", "df['ACADEMIC_YEAR'] = pd.to_numeric(df['ACADEMIC_YEAR'], errors='coerce').astype('Int64')\n", "\n", "# Create 'ciclo' column based on conditions\n", "df['CICLO'] = None\n", "df.loc[df['ACADEMIC_TERM'] == \"CUR VERANO\", 'CICLO'] = df['ACADEMIC_YEAR'].astype(str) + \"-0\"\n", "df.loc[df['ACADEMIC_TERM'] == \"I PER\", 'CICLO'] = df['ACADEMIC_YEAR'].astype(str) + \"-1\"\n", "df.loc[df['ACADEMIC_TERM'] == \"II PER\", 'CICLO'] = df['ACADEMIC_YEAR'].astype(str) + \"-2\"\n", "\n", "df['AÑO_INGRESO_CARRERA'] = pd.to_numeric(df['AÑO_INGRESO_CARRERA'], errors='coerce').astype('Int64')\n", "\n", "# Create 'ciclo_ingreso' column based on conditions\n", "df['CICLO_INGRESO_CARRERA'] = None\n", "df.loc[df['SEMESTRE_INGRESO_CARRERA'] == \"CUR VERANO\", 'CICLO_INGRESO_CARRERA'] = df['AÑO_INGRESO_CARRERA'].astype(str) + \"-0\"\n", "df.loc[df['SEMESTRE_INGRESO_CARRERA'] == \"I PER\", 'CICLO_INGRESO_CARRERA'] = df['AÑO_INGRESO_CARRERA'].astype(str) + \"-1\"\n", "df.loc[df['SEMESTRE_INGRESO_CARRERA'] == \"II PER\", 'CICLO_INGRESO_CARRERA'] = df['AÑO_INGRESO_CARRERA'].astype(str) + \"-2\"" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "df[['mat_primer_ciclo_en_que_estudio1', 'mat_primer_ciclo_en_que_estudio2']] = df['PRIMER_SEMESTRE_EN_QUE_CURSO_ESTUDIO'].str.split(\"-\", expand=True)\n", "\n", "df['mat_primer_ciclo_en_que_estudio1'] = pd.to_numeric(df['mat_primer_ciclo_en_que_estudio1'], errors='coerce').astype('Int64')\n", "\n", "#Create 'primer_ciclo' column based on conditions\n", "df['PRIMER_CICLO'] = None\n", "df.loc[df['mat_primer_ciclo_en_que_estudio2'] == \"CUR VERANO\", 'PRIMER_CICLO'] = df['mat_primer_ciclo_en_que_estudio1'].astype(str) + \"-0\"\n", "df.loc[df['mat_primer_ciclo_en_que_estudio2'].isin([\"I PER\", \"01\"]), 'PRIMER_CICLO'] = df['mat_primer_ciclo_en_que_estudio1'].astype(str) + \"-1\"\n", "df.loc[df['mat_primer_ciclo_en_que_estudio2'] == \"II PER\", 'PRIMER_CICLO'] = df['mat_primer_ciclo_en_que_estudio1'].astype(str) + \"-2\"\n", "\n", "# Step 4: Drop intermediate columns\n", "df = df.drop(columns=['mat_primer_ciclo_en_que_estudio1', 'mat_primer_ciclo_en_que_estudio2'])" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "columns = [\n", " 'GRADO_MADRE', \n", " 'GRADO_PADRE', \n", " 'OCUPACION_MADRE', \n", " 'OCUPACION_PADRE', \n", " 'UBIGEO_MADRE', \n", " 'UBIGEO_PADRE', \n", " 'MODALIDAD_DE_ADMISION'\n", "]\n", "\n", "# Step 1: Replace \"FALTANTE\" with an empty string (\"\") in the specified columns\n", "for var in columns:\n", " df[var] = df[var].replace(\"FALTANTE\", np.nan)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# Replace \"OPCIONAL\" with an empty string in the column cole_tipo_colegio\n", "df['TIPO_COLEGIO'] = df['TIPO_COLEGIO'].replace(\"OPCIONAL\", np.nan)\n", "\n", "# Replace \"COAR\" with \"Colegios de Alto Rendimiento\" in the column cole_tipo_colegio\n", "df['TIPO_COLEGIO'] = df['TIPO_COLEGIO'].replace(\"COAR\", \"Colegios de Alto Rendimiento\")\n", "\n", "# Replace \"OPCIONAL\" with an empty string in the column cole_eva_viges_competen_mixto\n", "df['EVALUACION_VIGESIMAL_COMPETENCIAS_MIXTO'] = df['EVALUACION_VIGESIMAL_COMPETENCIAS_MIXTO'].replace(\"OPCIONAL\", np.nan)\n", "\n", "# Replace \"SIN BECA\" with an empty string in the column pen_beca\n", "df['BECA'] = df['BECA'].replace(\"SIN BECA\", np.nan)\n", "\n", "# Replace 0 with NaN (equivalent to Stata's `.`) in the column pen_ano_de_solicit_de_recatego\n", "df['AÑO_DE_SOLICITUD_DE_RECATEGORIZACION'] = df['AÑO_DE_SOLICITUD_DE_RECATEGORIZACION'].replace(0, np.nan)" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CODIGO_DEL_ALUMNOACADEMIC_YEARACADEMIC_TERMGENEROEDAD_INGRESOEDAD_ACTUALLUGAR_DE_NACIMIENTOLUGAR_DE_ORIGENLUGAR_DE_RESIDENCIAGRADO_PADRE...HABITO_SALUD4HABITO_SALUD5HABITO_SALUD6HABITO_SALUD7HABITO_SALUD8HABITO_SALUD9HABITO_SALUD10CICLOCICLO_INGRESO_CARRERAPRIMER_CICLO
00x003c4717dc61e2a801539565cd9e8167ad6645fa175a...2018CUR VERANOM1929TACNA-JORGE BASADRE-ILABAYAProvinciaLIMA-LIMA-SAN ISIDRONaN...NaNNaNNaNNaNNaNNaNNaN2018-02013-12013-1
10x003c4717dc61e2a801539565cd9e8167ad6645fa175a...2018CUR VERANOM1929TACNA-JORGE BASADRE-ILABAYAProvinciaLIMA-LIMA-SAN ISIDRONaN...NaNNaNNaNNaNNaNNaNNaN2018-02013-12013-1
20x0090bcfbb9f54edfce3a743cbed4b2b540a7afd08269...2018CUR VERANOF1625LIMA-LIMA-MIRAFLORESLimaLIMA-LIMA-MIRAFLORESNaN...NaNNaNNaNNaNNaNNaNNaN2018-02015-12015-1
30x00c5536b4ceda92accead7b9258e738be746b2dc0d98...2018CUR VERANOF1724LIMA-LIMA-RIMACLimaLIMA-LIMA-RÍMACTitulo Profesional...NaNNaNNaNNaNNaNNaNNaN2018-02017-12017-1
40x00d135a1b90acfdb8567ee23a352ee17f36a8c7c912e...2018CUR VERANOM1725CARACAS--ExteriorLIMA-LIMA-PUEBLO LIBRETitulo Profesional...NaNNaNNaNNaNNaNNaNNaN2018-02016-12016-1
..................................................................
2722790xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7...2022II PERM1820CALLAO-CALLAO-CALLAOLimaCALLAO-CALLAO-CALLAONaN...NaNNaNNaNNaNNaNNaNNaN2022-22021-22021-2
2722800xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7...2022II PERM1820CALLAO-CALLAO-CALLAOLimaCALLAO-CALLAO-CALLAONaN...NaNNaNNaNNaNNaNNaNNaN2022-22021-22021-2
2722810xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7...2022II PERM1820CALLAO-CALLAO-CALLAOLimaCALLAO-CALLAO-CALLAONaN...NaNNaNNaNNaNNaNNaNNaN2022-22021-22021-2
2722820xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7...2022II PERM1820CALLAO-CALLAO-CALLAOLimaCALLAO-CALLAO-CALLAONaN...NaNNaNNaNNaNNaNNaNNaN2022-22021-22021-2
2722830xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7...2022II PERM1820CALLAO-CALLAO-CALLAOLimaCALLAO-CALLAO-CALLAONaN...NaNNaNNaNNaNNaNNaNNaN2022-22021-22021-2
\n", "

272284 rows × 206 columns

\n", "
" ], "text/plain": [ " CODIGO_DEL_ALUMNO ACADEMIC_YEAR \\\n", "0 0x003c4717dc61e2a801539565cd9e8167ad6645fa175a... 2018 \n", "1 0x003c4717dc61e2a801539565cd9e8167ad6645fa175a... 2018 \n", "2 0x0090bcfbb9f54edfce3a743cbed4b2b540a7afd08269... 2018 \n", "3 0x00c5536b4ceda92accead7b9258e738be746b2dc0d98... 2018 \n", "4 0x00d135a1b90acfdb8567ee23a352ee17f36a8c7c912e... 2018 \n", "... ... ... \n", "272279 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272280 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272281 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272282 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "272283 0xfff51cd8d8ecd339d976bbd679fe2069542342e02ec7... 2022 \n", "\n", " ACADEMIC_TERM GENERO EDAD_INGRESO EDAD_ACTUAL \\\n", "0 CUR VERANO M 19 29 \n", "1 CUR VERANO M 19 29 \n", "2 CUR VERANO F 16 25 \n", "3 CUR VERANO F 17 24 \n", "4 CUR VERANO M 17 25 \n", "... ... ... ... ... \n", "272279 II PER M 18 20 \n", "272280 II PER M 18 20 \n", "272281 II PER M 18 20 \n", "272282 II PER M 18 20 \n", "272283 II PER M 18 20 \n", "\n", " LUGAR_DE_NACIMIENTO LUGAR_DE_ORIGEN LUGAR_DE_RESIDENCIA \\\n", "0 TACNA-JORGE BASADRE-ILABAYA Provincia LIMA-LIMA-SAN ISIDRO \n", "1 TACNA-JORGE BASADRE-ILABAYA Provincia LIMA-LIMA-SAN ISIDRO \n", "2 LIMA-LIMA-MIRAFLORES Lima LIMA-LIMA-MIRAFLORES \n", "3 LIMA-LIMA-RIMAC Lima LIMA-LIMA-RÍMAC \n", "4 CARACAS-- Exterior LIMA-LIMA-PUEBLO LIBRE \n", "... ... ... ... \n", "272279 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272280 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272281 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272282 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "272283 CALLAO-CALLAO-CALLAO Lima CALLAO-CALLAO-CALLAO \n", "\n", " GRADO_PADRE ... HABITO_SALUD4 HABITO_SALUD5 HABITO_SALUD6 \\\n", "0 NaN ... NaN NaN NaN \n", "1 NaN ... NaN NaN NaN \n", "2 NaN ... NaN NaN NaN \n", "3 Titulo Profesional ... NaN NaN NaN \n", "4 Titulo Profesional ... NaN NaN NaN \n", "... ... ... ... ... ... \n", "272279 NaN ... NaN NaN NaN \n", "272280 NaN ... NaN NaN NaN \n", "272281 NaN ... NaN NaN NaN \n", "272282 NaN ... NaN NaN NaN \n", "272283 NaN ... NaN NaN NaN \n", "\n", " HABITO_SALUD7 HABITO_SALUD8 HABITO_SALUD9 HABITO_SALUD10 CICLO \\\n", "0 NaN NaN NaN NaN 2018-0 \n", "1 NaN NaN NaN NaN 2018-0 \n", "2 NaN NaN NaN NaN 2018-0 \n", "3 NaN NaN NaN NaN 2018-0 \n", "4 NaN NaN NaN NaN 2018-0 \n", "... ... ... ... ... ... \n", "272279 NaN NaN NaN NaN 2022-2 \n", "272280 NaN NaN NaN NaN 2022-2 \n", "272281 NaN NaN NaN NaN 2022-2 \n", "272282 NaN NaN NaN NaN 2022-2 \n", "272283 NaN NaN NaN NaN 2022-2 \n", "\n", " CICLO_INGRESO_CARRERA PRIMER_CICLO \n", "0 2013-1 2013-1 \n", "1 2013-1 2013-1 \n", "2 2015-1 2015-1 \n", "3 2017-1 2017-1 \n", "4 2016-1 2016-1 \n", "... ... ... \n", "272279 2021-2 2021-2 \n", "272280 2021-2 2021-2 \n", "272281 2021-2 2021-2 \n", "272282 2021-2 2021-2 \n", "272283 2021-2 2021-2 \n", "\n", "[272284 rows x 206 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Duplicates" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "def duplicates_report(df, subset):\n", " total_duplicates = df.duplicated(subset=subset).sum()\n", "\n", " duplicates = df[df.duplicated(subset=subset, keep=False)].copy()\n", " if subset == None:\n", " duplicates['combined'] = duplicates.apply(tuple, axis=1)\n", " else: \n", " duplicates['combined'] = duplicates[subset].apply(tuple, axis=1)\n", " duplicate_report = duplicates.groupby('combined').size().reset_index(name='count')\n", " duplicate_report = duplicate_report['count'].value_counts().sort_index()\n", "\n", " html = (f\"

Duplicates Report

\")\n", " \n", " if total_duplicates > 0:\n", " html += (f\"\"\n", " f\"\")\n", "\n", " for x, y in duplicate_report.items():\n", " html += f\"\"\n", "\n", " # End HTML table\n", " html += (f\"
CopiesUnique obs.Total obs.Surplus
{x} observations: {y}{y*x}{y*x-y}

\")\n", " html += (f\"Total number of duplicates: {total_duplicates}\")\n", "\n", " display(HTML(html))" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Duplicates Report

CopiesUnique obs.Total obs.Surplus
2 observations: 304360863043
3 observations: 3610872
4 observations: 154616462

Total number of duplicates: 3577" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "duplicates_report(df, None)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "df = df.drop_duplicates().reset_index(drop=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### IDs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "IDs should be the **student code**, the **academic term**, the **course code**, and the **course section**. However we can see that there are some instances of duplicates. This means that for the same student, in the same academic year, course, and section, there are two different values for some other column registered." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Duplicates Report

CopiesUnique obs.Total obs.Surplus
2 observations: 142284142

Total number of duplicates: 142" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ids = ['CODIGO_DEL_ALUMNO', 'CICLO', 'CODIGO_DEL_CURSO','SECCION_DEL_CURSO']\n", "duplicates_report(df, ids)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CODIGO_DEL_ALUMNOACADEMIC_YEARACADEMIC_TERMGENEROEDAD_INGRESOEDAD_ACTUALLUGAR_DE_NACIMIENTOLUGAR_DE_ORIGENLUGAR_DE_RESIDENCIAGRADO_PADRE...HABITO_SALUD4HABITO_SALUD5HABITO_SALUD6HABITO_SALUD7HABITO_SALUD8HABITO_SALUD9HABITO_SALUD10CICLOCICLO_INGRESO_CARRERAPRIMER_CICLO
144540x760754ba631b7f1d9fd2b06b7b22c581500bde25bb6b...2018I PERF1625LIMA-LIMA-SAN MIGUELLimaLIMA-LIMA-SAN MIGUELNaN...NaNNaNNaNNaNNaNNaNNaN2018-12015-12015-1
144550x760754ba631b7f1d9fd2b06b7b22c581500bde25bb6b...2018I PERF1625LIMA-LIMA-SAN MIGUELLimaLIMA-LIMA-SAN MIGUELNaN...NaNNaNNaNNaNNaNNaNNaN2018-12015-12015-1
649960x80cb52f6cd1cd0fc4f9b094146e5b28efb6f6768f5f1...2019I PERM1626LIMA-LIMA-JESUS MARIALimaLIMA-LIMA-JESÚS MARÍANaN...NaNNaNNaNNaNNaNNaNNaN2019-12013-12013-1
649970x80cb52f6cd1cd0fc4f9b094146e5b28efb6f6768f5f1...2019I PERM1626LIMA-LIMA-JESUS MARIALimaLIMA-LIMA-JESÚS MARÍANaN...NaNNaNNaNNaNNaNNaNNaN2019-12013-12013-1
712130xc0db24df9a9f9a67ef517a2a3341d1538ea4c6996cd4...2019I PERM1826LIMA-LIMA-ANCONLimaLIMA-LIMA-LIMAGrado Acádemico de Bachiller...NaNNaNNaNNaNNaNNaNNaN2019-12016-12018-2
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2090670xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4...2021II PERM1722LIMA-LIMA-LINCELimaLIMA-LIMA-LIMATécnico Superior...NaNNaNNaNNaNNaNNaNNaN2021-22018-22018-2
2090680xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4...2021II PERM1722LIMA-LIMA-LINCELimaLIMA-LIMA-LIMATécnico Superior...NaNNaNNaNNaNNaNNaNNaN2021-22018-22018-2
2090690xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4...2021II PERM1722LIMA-LIMA-LINCELimaLIMA-LIMA-LIMATécnico Superior...NaNNaNNaNNaNNaNNaNNaN2021-22018-22018-2
2090700xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4...2021II PERM1722LIMA-LIMA-LINCELimaLIMA-LIMA-LIMATécnico Superior...NaNNaNNaNNaNNaNNaNNaN2021-22018-22018-2
2090710xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4...2021II PERM1722LIMA-LIMA-LINCELimaLIMA-LIMA-LIMATécnico Superior...NaNNaNNaNNaNNaNNaNNaN2021-22018-22018-2
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284 rows × 206 columns

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" ], "text/plain": [ " CODIGO_DEL_ALUMNO ACADEMIC_YEAR \\\n", "14454 0x760754ba631b7f1d9fd2b06b7b22c581500bde25bb6b... 2018 \n", "14455 0x760754ba631b7f1d9fd2b06b7b22c581500bde25bb6b... 2018 \n", "64996 0x80cb52f6cd1cd0fc4f9b094146e5b28efb6f6768f5f1... 2019 \n", "64997 0x80cb52f6cd1cd0fc4f9b094146e5b28efb6f6768f5f1... 2019 \n", "71213 0xc0db24df9a9f9a67ef517a2a3341d1538ea4c6996cd4... 2019 \n", "... ... ... \n", "209067 0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4... 2021 \n", "209068 0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4... 2021 \n", "209069 0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4... 2021 \n", "209070 0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4... 2021 \n", "209071 0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e4... 2021 \n", "\n", " ACADEMIC_TERM GENERO EDAD_INGRESO EDAD_ACTUAL LUGAR_DE_NACIMIENTO \\\n", "14454 I PER F 16 25 LIMA-LIMA-SAN MIGUEL \n", "14455 I PER F 16 25 LIMA-LIMA-SAN MIGUEL \n", "64996 I PER M 16 26 LIMA-LIMA-JESUS MARIA \n", "64997 I PER M 16 26 LIMA-LIMA-JESUS MARIA \n", "71213 I PER M 18 26 LIMA-LIMA-ANCON \n", "... ... ... ... ... ... \n", "209067 II PER M 17 22 LIMA-LIMA-LINCE \n", "209068 II PER M 17 22 LIMA-LIMA-LINCE \n", "209069 II PER M 17 22 LIMA-LIMA-LINCE \n", "209070 II PER M 17 22 LIMA-LIMA-LINCE \n", "209071 II PER M 17 22 LIMA-LIMA-LINCE \n", "\n", " LUGAR_DE_ORIGEN LUGAR_DE_RESIDENCIA GRADO_PADRE \\\n", "14454 Lima LIMA-LIMA-SAN MIGUEL NaN \n", "14455 Lima LIMA-LIMA-SAN MIGUEL NaN \n", "64996 Lima LIMA-LIMA-JESÚS MARÍA NaN \n", "64997 Lima LIMA-LIMA-JESÚS MARÍA NaN \n", "71213 Lima LIMA-LIMA-LIMA Grado Acádemico de Bachiller \n", "... ... ... ... \n", "209067 Lima LIMA-LIMA-LIMA Técnico Superior \n", "209068 Lima LIMA-LIMA-LIMA Técnico Superior \n", "209069 Lima LIMA-LIMA-LIMA Técnico Superior \n", "209070 Lima LIMA-LIMA-LIMA Técnico Superior \n", "209071 Lima LIMA-LIMA-LIMA Técnico Superior \n", "\n", " ... HABITO_SALUD4 HABITO_SALUD5 HABITO_SALUD6 HABITO_SALUD7 \\\n", "14454 ... NaN NaN NaN NaN \n", "14455 ... NaN NaN NaN NaN \n", "64996 ... NaN NaN NaN NaN \n", "64997 ... NaN NaN NaN NaN \n", "71213 ... NaN NaN NaN NaN \n", "... ... ... ... ... ... \n", "209067 ... NaN NaN NaN NaN \n", "209068 ... NaN NaN NaN NaN \n", "209069 ... NaN NaN NaN NaN \n", "209070 ... NaN NaN NaN NaN \n", "209071 ... NaN NaN NaN NaN \n", "\n", " HABITO_SALUD8 HABITO_SALUD9 HABITO_SALUD10 CICLO \\\n", "14454 NaN NaN NaN 2018-1 \n", "14455 NaN NaN NaN 2018-1 \n", "64996 NaN NaN NaN 2019-1 \n", "64997 NaN NaN NaN 2019-1 \n", "71213 NaN NaN NaN 2019-1 \n", "... ... ... ... ... \n", "209067 NaN NaN NaN 2021-2 \n", "209068 NaN NaN NaN 2021-2 \n", "209069 NaN NaN NaN 2021-2 \n", "209070 NaN NaN NaN 2021-2 \n", "209071 NaN NaN NaN 2021-2 \n", "\n", " CICLO_INGRESO_CARRERA PRIMER_CICLO \n", "14454 2015-1 2015-1 \n", "14455 2015-1 2015-1 \n", "64996 2013-1 2013-1 \n", "64997 2013-1 2013-1 \n", "71213 2016-1 2018-2 \n", "... ... ... \n", "209067 2018-2 2018-2 \n", "209068 2018-2 2018-2 \n", "209069 2018-2 2018-2 \n", "209070 2018-2 2018-2 \n", "209071 2018-2 2018-2 \n", "\n", "[284 rows x 206 columns]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.duplicated(subset=ids, keep=False)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Checking for systematic differences in values mannualy would be difficult and inneficient, because of that, we write a code that neatly shows the differing values within each duplicated unique observation" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "# Create a function to find differing values\n", "def find_differences(dup_df, subset_cols):\n", " # Group by the subset columns to compare duplicates within the same group\n", " grouped = dup_df.groupby(subset_cols)\n", " \n", " differing_rows = []\n", " \n", " # Compare each group of duplicates\n", " for _, group in grouped:\n", " if len(group) > 1: # Check only if there's more than one duplicate\n", " # Find the differences between rows\n", " for col in group.columns:\n", " if col not in subset_cols: # Skip subset columns used to check duplicates\n", " # If values in this column are not the same, mark them\n", " if len(group[col].unique()) > 1:\n", " differing_rows.append({\n", " 'Subset_Columns': str(group[subset_cols].iloc[0].to_dict()),\n", " 'Differing_Column': col,\n", " 'Differing_Values': group[col].tolist()\n", " })\n", " \n", " differing_report = pd.DataFrame(differing_rows)\n", "\n", " wide_report = differing_report.pivot(index='Subset_Columns', columns='Differing_Column', values='Differing_Values')\n", " \n", " return wide_report" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here, each row corresponds to a unique ID, and the columns show the differing values that result in the initial duplicates drop not dropping said ID duplicates." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e437e36a4d82006896f406', 'CICLO': '2021-2', 'CODIGO_DEL_CURSO': '144741', 'SECCION_DEL_CURSO': 'A'}NaNNaNNaNNaNNaNNaNNaNNaNNaN[Subsidio tipo 1, Beca Patronato UP]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e437e36a4d82006896f406', 'CICLO': '2021-2', 'CODIGO_DEL_CURSO': '180091', 'SECCION_DEL_CURSO': 'D'}NaNNaNNaNNaNNaNNaNNaNNaNNaN[Beca Patronato UP, Subsidio tipo 1]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e437e36a4d82006896f406', 'CICLO': '2021-2', 'CODIGO_DEL_CURSO': '1F0112', 'SECCION_DEL_CURSO': 'E'}NaNNaNNaNNaNNaNNaNNaNNaNNaN[Subsidio tipo 1, Beca Patronato UP]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e437e36a4d82006896f406', 'CICLO': '2021-2', 'CODIGO_DEL_CURSO': '900218', 'SECCION_DEL_CURSO': 'B2'}NaNNaNNaNNaNNaNNaNNaNNaNNaN[Beca Patronato UP, Subsidio tipo 1]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9c0e9547902f54b67fd64e437e36a4d82006896f406', 'CICLO': '2021-2', 'CODIGO_DEL_CURSO': '900649', 'SECCION_DEL_CURSO': 'D1'}NaNNaNNaNNaNNaNNaNNaNNaNNaN[Subsidio tipo 1, Beca Patronato UP]NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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142 rows × 47 columns

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" ], "text/plain": [ "Differing_Column A1_CONFIANZA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [13.0, 17.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [13.0, 17.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column A2_FRANQUEZA A3_ALTRUISMO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [17.0, 23.0] NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [17.0, 23.0] NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN NaN \n", "... ... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "\n", "Differing_Column A4_ACTITUD_CONCILIADORA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [21.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [21.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... 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NaN \n", "\n", "Differing_Column A6_SENSIBILIDAD_A_LOS_DEMÁS \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column APRENDIZAJE_ENTRE_IGUALES \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... 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NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column A_AMABILIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [125.0, 133.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [125.0, 133.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column BECA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... [Subsidio tipo 1, Beca Patronato UP] \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... [Beca Patronato UP, Subsidio tipo 1] \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... [Subsidio tipo 1, Beca Patronato UP] \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... [Beca Patronato UP, Subsidio tipo 1] \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... [Subsidio tipo 1, Beca Patronato UP] \n", "\n", "Differing_Column BÚSQUEDA_DE_AYUDA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C1_COMPETENCIA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [29.0, 27.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [29.0, 27.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C2_ORDEN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C3_SENTIDO_DEL_DEBER \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 27.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 27.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C4_NECESIDAD_DE_LOGRO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 25.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 25.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C5_AUTODISCIPLINA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C6_DELIBERACIÓN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [23.0, 26.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [23.0, 26.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column CALIFICACION_DEL_PROFESOR_DE_LA_SECCION \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... [6.6078, 6.0733] \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... [5.2411, 6.1786] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... [5.9286, 4.9072] \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column C_RESONSABILIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [158.0, 150.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [158.0, 150.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E1_CORDIALIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [28.0, 29.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [28.0, 29.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E2_GREGARISMO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E3_ASERTIVIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [27.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E4_ACTIVIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [22.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [22.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E5_BÚSQUEDA_DE_EMOCIONES \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 22.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column E6_EMOCIONES_POSITIVAS \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column ENSAYO E_EXTROVERSIÓN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN [156.0, 149.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN [156.0, 149.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN NaN \n", "... ... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN NaN \n", "\n", "Differing_Column Estrategias de aprendizaje: ELABORACIÓN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column Estrategias de aprendizaje: ORGANIZACIÓN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column HABITO_SALUD6 \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N1_ANSIEDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 16.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [26.0, 16.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N2_HOSTILIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [12.0, 8.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [12.0, 8.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N3_DEPRESIÓN \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [19.0, 11.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [19.0, 11.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N4_ANSIEDAD_SOCIAL \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [10.0, 11.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [10.0, 11.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N5_IMPULSIVIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [8.0, 9.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [8.0, 9.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N6_VULNERABILIDAD \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [10.0, 9.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [10.0, 9.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column N_NEUROTICISMO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [85.0, 64.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [85.0, 64.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O1_FANTASÍA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [19.0, 12.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [19.0, 12.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O2_ESTÉTICA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [21.0, 23.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [21.0, 23.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O3_SENTIMIENTOS \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [22.0, 20.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [22.0, 20.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O4_ACCIONES \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [12.0, 19.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [12.0, 19.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O5_IDEAS \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [28.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [28.0, 24.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O6_VALORES \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [24.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [24.0, 21.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column O_APERTURA \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [126.0, 119.0] \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... [126.0, 119.0] \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column PENSAMIENTO_CRÍTICO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column REGULACIÓN_DEL_ESFUERZO \\\n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "Differing_Column TIEMPO_Y_AMBIENTE_DE_ESTUDIO \n", "Subset_Columns \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x010eeef0ea3a70753fa661... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x097b73181755d5227b81c4... NaN \n", "{'CODIGO_DEL_ALUMNO': '0x0ef911215bce81895e16af... NaN \n", "... ... \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "{'CODIGO_DEL_ALUMNO': '0xf1c8dd53e4f076990eaca9... NaN \n", "\n", "[142 rows x 47 columns]" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "duplicates = df[df.duplicated(subset=ids, keep=False)].copy()\n", "id_differences = find_differences(duplicates, ids)\n", "\n", "with pd.option_context(\n", " \"display.min_rows\", 10,\n", " 'display.max_columns', None\n", " ):\n", " display(id_differences)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can clearly see that there is some cleaning to be done in some variable modules. \n", "\n", "First, there seems to be multiple values for variables of the Big Five (Características de personalidad) module. As if the same student, in the same academic term, and in the same course and section had been surveyed twice and therefore multiple responses had been registered.\n", "The same thing happens within the Studying Strategies (Estrategias de aprendizaje) and the Health Habits (Hábitos de salud) modules.\n", "\n", "Second, there are differing values in the rating the student gave the professor for their course section. As if the student had rated the professor twice during the same academic term.\n", "\n", "Third, a same student has multiple scholarship categories assigned in the same term." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "df['CALIFICACION_DEL_PROFESOR_DE_LA_SECCION'] = df.groupby(ids)['CALIFICACION_DEL_PROFESOR_DE_LA_SECCION'].transform('max')" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "df_wide = df.copy()\n", "df_wide['pen_n_beca'] = \"BECA\" + (df_wide.groupby(ids).cumcount() + 1).astype(str)\n", "df_wide = df_wide.pivot(index=ids, columns='pen_n_beca', values='BECA').reset_index()\n", "df = df.merge(df_wide, on=ids, how='left')\n", "df = df.drop(columns=['BECA'])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "cols = list(df.filter(regex='^([ACENO](\\\\d|)_)').columns) + ['APRENDIZAJE_ENTRE_IGUALES',\n", " 'AUTO_REGULACIÓN_METACOGNITIVA', \n", " 'BÚSQUEDA_DE_AYUDA', \n", " 'ENSAYO', \n", " 'Estrategias de aprendizaje: ELABORACIÓN', \n", " 'Estrategias de aprendizaje: ORGANIZACIÓN', \n", " 'PENSAMIENTO_CRÍTICO', 'REGULACIÓN_DEL_ESFUERZO', \n", " 'TIEMPO_Y_AMBIENTE_DE_ESTUDIO']\n", "\n", "for col in cols:\n", " df[col] = df.groupby(ids)[col].transform('mean')" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# Step 1: Define a mapping from the categorical strings to numerical values\n", "habitos_mapping = {\n", " 'Nunca': 0,\n", " 'De 1 a 2 veces': 1,\n", " 'De 3 a 4 veces': 2,\n", " 'De 5 a 7 veces': 3\n", "}\n", "\n", "# Step 2: Apply the mapping to the 'HABITOS_SALUD6' column, ignoring NaN\n", "df['HABITO_SALUD6_num'] = df['HABITO_SALUD6'].map(habitos_mapping)\n", "\n", "# Step 3: Apply the groupby and mode (most frequent value) transformation for 'HABITOS_SALUD6'\n", "df['HABITO_SALUD6_num'] = df.groupby(ids)['HABITO_SALUD6_num'].transform('max')\n", "\n", "# Step 4: Map the numerical values back to the original strings\n", "reverse_habitos_mapping = {v: k for k, v in habitos_mapping.items()}\n", "df['HABITO_SALUD6'] = df['HABITO_SALUD6_num'].map(reverse_habitos_mapping)\n", "\n", "# Step 5: Drop the temporary numerical column\n", "df = df.drop(columns=['HABITO_SALUD6_num'])" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/html": [ "

Duplicates Report

Total number of duplicates: 0" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = df.drop_duplicates().reset_index(drop=True)\n", "duplicates_report(df, ids)" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [], "source": [ "for col in ['AÑO_DE_SOLICITUD_DE_RECATEGORIZACION', 'ESCALA_DE_PAGO_REGATEGORIZADO', 'AÑOS_ACUMULADOS_POR_ALUMNO', 'UBICACION_ACTUAL_DEL_ALUMNO_EN_EL_TERCIO', 'PERIODO_DE_EGRESO_DEL_ALUMNO']: \n", " df[col] = df[col].astype('Int64')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## EDA" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [], "source": [ "def col_analysis(df, col):\n", " if not os.path.exists(f\"../../_static\\\\temp_figures\"):\n", " os.makedirs(f\"../../_static\\\\temp_figures\")\n", " \n", " total_obs = len(df[col])\n", "\n", " unique_values = df[col].nunique()\n", " unique_percentage = (unique_values / total_obs) * 100\n", " missing_values = df[col].isna().sum()\n", " missing_percentage = (missing_values / total_obs) * 100\n", "\n", " text_info = (f\"

{col}

\"\n", " f\"Total number of unique values: {unique_values} ({unique_percentage:.2f}%)
\"\n", " f\"Missing values: {missing_values} ({missing_percentage:.2f}%)
\")\n", " \n", " if unique_values > 11 and unique_values < 2600:\n", " top_values = df[col].value_counts().head(5)\n", " bot_values = df[col].value_counts().tail(5)\n", "\n", " text_info += (f\"Most frequent values:
\"\n", " f\"
\")\n", " for value, count in top_values.items():\n", " percentage = (count / total_obs) * 100\n", " text_info += f\"{value}: {count} ({percentage:.1f}%)
\"\n", " text_info += \"
\"\n", " text_info += (f\"Least frequent values:
\"\n", " f\"
\")\n", " for value, count in bot_values.items():\n", " percentage = (count / total_obs) * 100\n", " text_info += f\"{value}: {count} ({percentage:.1f}%)
\"\n", " text_info += \"
\"\n", " elif unique_values <= 11:\n", " text_info += (f\"Value Counts:
\"\n", " f\"
\")\n", " for value, count in df[col].value_counts().items():\n", " percentage = (count / total_obs) * 100\n", " text_info += f\"{value}: {count} ({percentage:.1f}%)
\"\n", " text_info += \"
\"\n", " else:\n", " text_info += \"
\"\n", " if pd.api.types.is_numeric_dtype(df[col]):\n", " min_value = df[col].min()\n", " max_value = df[col].max()\n", " median_value = df[col].median()\n", " mode_value = df[col].mode().values\n", " mode_value_str = ', '.join(map(str, mode_value))\n", " \n", " text_info += (f\"Minimum value: {min_value}
\"\n", " f\"Maximum value: {max_value}
\"\n", " f\"Median value: {median_value}
\"\n", " f\"Mode value(s): {mode_value_str}
\")\n", "\n", " \n", " # Start an HTML block for the layout\n", " html = f\"\"\"\n", "
\n", "
\n", " {text_info}\n", "
\n", "
\n", " \"\"\"\n", "\n", " # Plot based on the column type\n", " text_color = '#D3D3D3'\n", " plot_generated = False\n", " box_plot = False\n", "\n", " if pd.api.types.is_numeric_dtype(df[col]):\n", " if pd.api.types.is_integer_dtype(df[col]) and (df[col].nunique() < 12):\n", " # Plot a bar plot for integer data\n", " plot_generated = True\n", " fig, axs = plt.subplots(figsize=(8, 5))\n", " value_counts = df[col].value_counts().sort_index()\n", " sns.barplot(x=value_counts.index, y=value_counts.values)\n", " plt.title(f\"Bar Plot of {col}\", color=text_color)\n", " plt.xlabel(col, color=text_color)\n", " plt.ylabel(\"Frequency\", color=text_color)\n", " elif pd.api.types.is_integer_dtype(df[col]):\n", " # Plot a bar plot for integer data\n", " plot_generated = True\n", " fig, axs = plt.subplots(nrows=2, figsize=(8, 5), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", " box_plot = True\n", " sns.histplot(df[col].dropna(), discrete=True, ax=axs[0])\n", " axs[0].set_title(f\"Histogram of {col}\", color=text_color)\n", " axs[0].set_ylabel(\"Frequency\", color=text_color)\n", "\n", " sns.boxplot(x=df[col].dropna(), ax=axs[1], orient='h')\n", " axs[1].set_xlabel(col, color=text_color)\n", " axs[1].set_ylabel(\"\")\n", " else:\n", " # Plot a KDE plot for float data\n", " plot_generated = True\n", " fig, axs = plt.subplots(nrows=2, figsize=(8, 5), sharex=True, gridspec_kw={'height_ratios': [3, 1]})\n", " box_plot = True\n", " sns.histplot(df[col].dropna(), bins=20, ax=axs[0])\n", " axs[0].set_title(f\"Histogram of {col}\", color=text_color)\n", " axs[0].set_ylabel(\"Density\", color=text_color)\n", "\n", " sns.boxplot(x=df[col].dropna(), ax=axs[1], orient='h')\n", " axs[1].set_xlabel(col, color=text_color)\n", " axs[1].set_ylabel(\"\")\n", " \n", " if pd.api.types.is_object_dtype(df[col]) and df[col].nunique() < 10 and df[col].dropna().nunique() > 1:\n", " plot_generated = True\n", " fig, axs = plt.subplots(figsize=(8, 5))\n", " sorted_values = (df[col].dropna().value_counts() / df[col].dropna().value_counts().sum()*100).sort_values()\n", "\n", " others_sum = 0\n", " new_value_counts = {}\n", " others_added = False\n", "\n", " # Loop through categories and decide if they should go into \"Others\"\n", " for value, pct in sorted_values.items():\n", " if pct + others_sum < 5:\n", " others_sum += pct\n", " others_added = True\n", " else:\n", " new_value_counts[value] = df[col].dropna().value_counts()[value]\n", "\n", " if others_added:\n", " new_value_counts['Others'] = int((others_sum / 100) * df[col].dropna().value_counts().sum())\n", "\n", " # Convert the dictionary back to a series for plotting\n", " new_value_counts = pd.Series(new_value_counts).sort_values(ascending=False)\n", "\n", " # Plot pie chart\n", " new_value_counts.plot(kind='pie', autopct='%1.1f%%', startangle=90, colors=plt.cm.Paired.colors)\n", " plt.title(f\"Pie Chart of {col}\", color=text_color)\n", " plt.ylabel('') # Hide the y-label\n", " for text in axs.texts:\n", " if '%' not in text.get_text():\n", " text.set_color(text_color)\n", "\n", " if plot_generated and not box_plot:\n", " fig.patch.set_alpha(0)\n", " axs.patch.set_alpha(0) \n", " sns.despine(left=True, bottom=True)\n", "\n", " axs.tick_params(axis='x', colors=text_color)\n", " axs.tick_params(axis='y', colors=text_color)\n", "\n", " for spine in axs.spines.values():\n", " spine.set_visible(False)\n", "\n", " legend = axs.get_legend()\n", " if legend:\n", " plt.setp(legend.get_texts(), color=text_color)\n", " \n", " # Save the plot as an image and embed it in HTML\n", " plt.tight_layout()\n", " plt.savefig(f\"../../_static\\\\temp_figures\\\\{col}.png\", transparent=True)\n", "\n", " # Embed the plot in the HTML\n", " html += f''\n", "\n", " plt.close()\n", " \n", " elif plot_generated and box_plot:\n", " fig.patch.set_alpha(0)\n", " for ax in axs:\n", " ax.patch.set_alpha(0) \n", " sns.despine(left=True, bottom=True)\n", "\n", " ax.tick_params(axis='x', colors=text_color)\n", " ax.tick_params(axis='y', colors=text_color)\n", "\n", " for spine in ax.spines.values():\n", " spine.set_visible(False)\n", "\n", " legend = ax.get_legend()\n", " if legend:\n", " plt.setp(legend.get_texts(), color=text_color)\n", " \n", " # Save the plot as an image and embed it in HTML\n", " plt.tight_layout()\n", " plt.savefig(f\"../../_static\\\\temp_figures\\\\{col}_boxplot.png\", transparent=True)\n", "\n", " # Embed the plot in the HTML\n", " html += f''\n", "\n", " plt.close()\n", " \n", " html += \"


\"\n", "\n", " # Display the HTML content\n", " display(HTML(html))" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", "
\n", "
\n", "

CODIGO_DEL_ALUMNO

Total number of unique values: 9314 (3.47%)
Missing values: 0 (0.00%)

\n", "
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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ACADEMIC_YEAR

Total number of unique values: 5 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
2021: 61283 (22.8%)
2022: 58149 (21.7%)
2018: 50356 (18.8%)
2020: 49500 (18.4%)
2019: 49277 (18.3%)
Minimum value: 2018
Maximum value: 2022
Median value: 2020.0
Mode value(s): 2021
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\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ACADEMIC_TERM

Total number of unique values: 3 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
I PER: 131997 (49.1%)
II PER: 120081 (44.7%)
CUR VERANO: 16487 (6.1%)
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\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

GENERO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
F: 145906 (54.3%)
M: 122659 (45.7%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EDAD_INGRESO

Total number of unique values: 24 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
17: 120880 (45.0%)
16: 73983 (27.5%)
18: 44730 (16.7%)
19: 16184 (6.0%)
20: 5213 (1.9%)
Least frequent values:
48: 17 (0.0%)
31: 15 (0.0%)
35: 14 (0.0%)
47: 10 (0.0%)
32: 5 (0.0%)
Minimum value: 15
Maximum value: 48
Median value: 17.0
Mode value(s): 17
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\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EDAD_ACTUAL

Total number of unique values: 29 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
23: 40390 (15.0%)
24: 40022 (14.9%)
22: 34010 (12.7%)
25: 29299 (10.9%)
21: 27218 (10.1%)
Least frequent values:
40: 22 (0.0%)
57: 10 (0.0%)
44: 9 (0.0%)
48: 8 (0.0%)
36: 2 (0.0%)
Minimum value: 17
Maximum value: 57
Median value: 23.0
Mode value(s): 23
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\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

LUGAR_DE_NACIMIENTO

Total number of unique values: 458 (0.17%)
Missing values: 0 (0.00%)
Most frequent values:
LIMA-LIMA-SANTIAGO DE SURCO: 36111 (13.4%)
LIMA-LIMA-SAN BORJA: 20155 (7.5%)
LIMA-LIMA-MIRAFLORES: 19937 (7.4%)
LIMA-LIMA-SAN ISIDRO: 18195 (6.8%)
LIMA-LIMA-JESUS MARIA: 18129 (6.8%)
Least frequent values:
HUANCAVELICA-HUAYTARA-SAN ANTONIO DE CUSICANCHA: 4 (0.0%)
PASCO-PASCO-PALLANCHACRA: 4 (0.0%)
LAMBAYEQUE-LAMBAYEQUE-MOCHUMI: 4 (0.0%)
AMAZONAS-BAGUA-BAGUA: 4 (0.0%)
PUNO-SAN ROMAN-CABANA: 3 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

LUGAR_DE_ORIGEN

Total number of unique values: 3 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
Lima: 215820 (80.4%)
Provincia: 50763 (18.9%)
Exterior: 1982 (0.7%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

LUGAR_DE_RESIDENCIA

Total number of unique values: 375 (0.14%)
Missing values: 0 (0.00%)
Most frequent values:
LIMA-LIMA-LIMA: 43096 (16.0%)
LIMA-LIMA-SURCO: 27913 (10.4%)
LIMA-LIMA-LA MOLINA: 19495 (7.3%)
LIMA-LIMA-SAN ISIDRO: 17514 (6.5%)
LIMA-LIMA-PUEBLO LIBRE: 16276 (6.1%)
Least frequent values:
PUNO-PUNO-PICHACANI: 4 (0.0%)
AYACUCHO-PAUCAR DEL SARA SARA-LAMPA: 4 (0.0%)
ICA-NASCA-NAZCA: 4 (0.0%)
ANCASH-CARLOS FERMIN FITZCARRALD-SAN LUIS: 4 (0.0%)
BUENOS AIRES--: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

GRADO_PADRE

Total number of unique values: 8 (0.00%)
Missing values: 128529 (47.86%)
Value Counts:
Titulo Profesional: 54800 (20.4%)
Grado Académico de Magíster: 22592 (8.4%)
Grado Acádemico de Bachiller: 20729 (7.7%)
Egresado 2021: 18938 (7.1%)
Técnico Superior: 18000 (6.7%)
Grado Académico de Doctor: 2388 (0.9%)
Actualmente en Técnico: 1569 (0.6%)
Actualmente en Universidad: 1020 (0.4%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

OCUPACION_PADRE

Total number of unique values: 772 (0.29%)
Missing values: 129477 (48.21%)
Most frequent values:
Ingeniero: 11822 (4.4%)
INGENIERO: 5048 (1.9%)
Abogado: 4592 (1.7%)
Administrado: 4067 (1.5%)
Economista: 3991 (1.5%)
Least frequent values:
DOCENTE UNIVERSITARIO: 4 (0.0%)
Ingeniero en Industrias Alimentarias: 4 (0.0%)
Adm.Hotelera: 2 (0.0%)
Estomatologo: 1 (0.0%)
Laborat.Clin: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

UBIGEO_PADRE

Total number of unique values: 228 (0.08%)
Missing values: 135815 (50.57%)
Most frequent values:
Lima-Lima-Surco: 17092 (6.4%)
Lima-Lima-La Molina: 10311 (3.8%)
Lima-Lima-San Borja: 7935 (3.0%)
Lima-Lima-San Isidro: 6079 (2.3%)
Lima-Lima-Miraflores: 5398 (2.0%)
Least frequent values:
Cusco-Quispicanchi-OROPESA: 8 (0.0%)
La Libertad-Trujillo-LA ESPERANZA: 6 (0.0%)
Huancavelica-Tayacaja-PAMPAS: 6 (0.0%)
Amazonas-Bongará-JAZAN: 5 (0.0%)
Puno-Chucuito-JULI: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

GRADO_MADRE

Total number of unique values: 8 (0.00%)
Missing values: 126626 (47.15%)
Value Counts:
Titulo Profesional: 57034 (21.2%)
Técnico Superior: 27694 (10.3%)
Egresado 2021: 25209 (9.4%)
Grado Acádemico de Bachiller: 18677 (7.0%)
Grado Académico de Magíster: 9559 (3.6%)
Actualmente en Técnico: 1710 (0.6%)
Actualmente en Universidad: 1224 (0.5%)
Grado Académico de Doctor: 832 (0.3%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

OCUPACION_MADRE

Total number of unique values: 770 (0.29%)
Missing values: 129466 (48.21%)
Most frequent values:
Docente: 4777 (1.8%)
Profesora: 3644 (1.4%)
Contadora: 3475 (1.3%)
Amadecasa: 3321 (1.2%)
Casa: 3280 (1.2%)
Least frequent values:
QuimicaFar.: 1 (0.0%)
Estomatologí: 1 (0.0%)
EMPRESARI: 1 (0.0%)
Esteticista: 1 (0.0%)
Obstetric: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

UBIGEO_MADRE

Total number of unique values: 210 (0.08%)
Missing values: 131008 (48.78%)
Most frequent values:
Lima-Lima-Surco: 16908 (6.3%)
Lima-Lima-La Molina: 11123 (4.1%)
Lima-Lima-San Borja: 8414 (3.1%)
Lima-Lima-San Isidro: 6306 (2.3%)
Lima-Lima-Miraflores: 5878 (2.2%)
Least frequent values:
La Libertad-Pacasmayo-SAN JOSE: 9 (0.0%)
Cusco-Quispicanchi-OROPESA: 8 (0.0%)
Huancavelica-Tayacaja-PAMPAS: 6 (0.0%)
Amazonas-Bongará-JAZAN: 5 (0.0%)
Puno-Chucuito-JULI: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_HERMANOS

Total number of unique values: 7 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 160181 (59.6%)
1: 68222 (25.4%)
2: 32429 (12.1%)
3: 6392 (2.4%)
4: 1077 (0.4%)
5: 215 (0.1%)
6: 49 (0.0%)
Minimum value: 0
Maximum value: 6
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_HERMANOS_EN_LA_UP

Total number of unique values: 3 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 257703 (96.0%)
1: 10679 (4.0%)
2: 183 (0.1%)
Minimum value: 0
Maximum value: 2
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

COLEGIO_DE_PROCEDENCIA

Total number of unique values: 2520 (0.94%)
Missing values: 787 (0.29%)
Most frequent values:
FALTANTE: 4476 (1.7%)
SANTA MARIA MARIANISTA (Santiago de Surco): 4235 (1.6%)
SANTA MARIA MARIANISTA AVENIDA LA FLORESTA 25: 2746 (1.0%)
VILLA MARIA LA PLANICIE (La Molina): 2328 (0.9%)
COLEGIO MAYOR SECUNDARIO PRESIDENTE DEL PERU : 2240 (0.8%)
Least frequent values:
Santa Rosa de Lima (Los Olivos) : 1 (0.0%)
INNOVA SCHOOLS - LOS OLIVOS 1 VILLA SOL (Los : 1 (0.0%)
Maria de las Mercedes, Miraflores : 1 (0.0%)
MARIA AUXILIADORA: 1 (0.0%)
SO1 PNP.CARLOS TEODORO PUELL MENDOZA CARRETER: 1 (0.0%)
\n", "
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

TIPO_COLEGIO

Total number of unique values: 3 (0.00%)
Missing values: 104349 (38.85%)
Value Counts:
Colegios de Alto Rendimiento: 160221 (59.7%)
Bachillerato Internacional: 3025 (1.1%)
Bachillerato Internacional 6to año: 970 (0.4%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

UBIGEO_COLEGIO

Total number of unique values: 366 (0.14%)
Missing values: 4202 (1.56%)
Most frequent values:
Lima-Lima-Surco: 34017 (12.7%)
Lima-Lima-La Molina: 29212 (10.9%)
Lima-Lima-San Isidro: 17716 (6.6%)
Lima-Lima-Miraflores: 16056 (6.0%)
Lima-Lima-San Miguel: 11729 (4.4%)
Least frequent values:
Huancavelica-Angaraes-Lircay: 4 (0.0%)
Loreto-Maynas-San Juan Bautista: 4 (0.0%)
Amazonas-Utcubamba-El Milagro: 4 (0.0%)
Puno-Chucuito-Juli: 4 (0.0%)
Huanuco-Leoncio Prado-Rupa-Rupa: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

BACHILLERATO_INTERNACIONAL

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 183314 (68.3%)
SI: 85251 (31.7%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

COLEGIO_DE_ALTO_RENDIMIENTO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
SI: 161015 (60.0%)
NO: 107550 (40.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EVALUACION_VIGESIMAL_COMPETENCIAS_MIXTO

Total number of unique values: 3 (0.00%)
Missing values: 43069 (16.04%)
Value Counts:
VIGESIMAL: 217790 (81.1%)
MIXTO: 7616 (2.8%)
COMPENTENCIAS: 90 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_MATEMATICA

Total number of unique values: 12 (0.00%)
Missing values: 31171 (11.61%)
Most frequent values:
17.0: 38819 (14.5%)
16.0: 35355 (13.2%)
18.0: 32230 (12.0%)
15.0: 31884 (11.9%)
14.0: 24464 (9.1%)
Least frequent values:
12.0: 12136 (4.5%)
0.0: 12001 (4.5%)
20.0: 5886 (2.2%)
11.0: 5429 (2.0%)
21.0: 74 (0.0%)
Minimum value: 0.0
Maximum value: 21.0
Median value: 16.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_COMUNICACION

Total number of unique values: 12 (0.00%)
Missing values: 31171 (11.61%)
Most frequent values:
16.0: 48336 (18.0%)
17.0: 42636 (15.9%)
15.0: 42294 (15.7%)
14.0: 28173 (10.5%)
18.0: 25648 (9.6%)
Least frequent values:
12.0: 9339 (3.5%)
19.0: 8965 (3.3%)
11.0: 2818 (1.0%)
20.0: 1398 (0.5%)
21.0: 74 (0.0%)
Minimum value: 0.0
Maximum value: 21.0
Median value: 16.0
Mode value(s): 16.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_MATEMATICA

Total number of unique values: 13 (0.00%)
Missing values: 31171 (11.61%)
Most frequent values:
17.0: 36450 (13.6%)
16.0: 34979 (13.0%)
18.0: 32224 (12.0%)
15.0: 31062 (11.6%)
14.0: 23911 (8.9%)
Least frequent values:
12.0: 11353 (4.2%)
20.0: 6854 (2.6%)
11.0: 5839 (2.2%)
21.0: 66 (0.0%)
8.0: 5 (0.0%)
Minimum value: 0.0
Maximum value: 21.0
Median value: 16.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_COMUNICACION

Total number of unique values: 13 (0.00%)
Missing values: 31171 (11.61%)
Most frequent values:
16.0: 48221 (18.0%)
17.0: 45841 (17.1%)
15.0: 34490 (12.8%)
18.0: 27722 (10.3%)
14.0: 25495 (9.5%)
Least frequent values:
12.0: 6605 (2.5%)
11.0: 2470 (0.9%)
20.0: 2375 (0.9%)
21.0: 66 (0.0%)
100.0: 51 (0.0%)
Minimum value: 0.0
Maximum value: 100.0
Median value: 16.0
Mode value(s): 16.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_MATEMATICA

Total number of unique values: 14 (0.01%)
Missing values: 31339 (11.67%)
Most frequent values:
17.0: 36313 (13.5%)
18.0: 33325 (12.4%)
16.0: 32605 (12.1%)
15.0: 28796 (10.7%)
14.0: 22721 (8.5%)
Least frequent values:
20.0: 9752 (3.6%)
11.0: 5549 (2.1%)
21.0: 66 (0.0%)
1.0: 56 (0.0%)
8.0: 16 (0.0%)
Minimum value: 0.0
Maximum value: 21.0
Median value: 16.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_COMUNICACION

Total number of unique values: 14 (0.01%)
Missing values: 31339 (11.67%)
Most frequent values:
17.0: 44379 (16.5%)
16.0: 43015 (16.0%)
18.0: 32875 (12.2%)
15.0: 32716 (12.2%)
14.0: 21573 (8.0%)
Least frequent values:
20.0: 5615 (2.1%)
11.0: 2593 (1.0%)
21.0: 66 (0.0%)
10.0: 44 (0.0%)
116.0: 36 (0.0%)
Minimum value: 0.0
Maximum value: 116.0
Median value: 16.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIA_TECNOLOGIA_DISEÑA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIA_TECNOLOGIA_EXPLICA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIA_TECNOLOGIA_INDAGA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
AD: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIAS_SOCIALES_CONSTRUYE

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_COMUNICACION_LENGUA_ESCRIBE

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
B: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_COMUNICACION_LENGUA_LEE

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
B: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_COMUNICACION_LENGUA_COMUNICA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_MATEMATICA_CANTIDAD

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_MATEMATICA_FORMA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_MATEMATICA_GESTION_DATOS

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

3RO_MATEMATICA_REGULARIDAD_EQUIVALENCIA

Total number of unique values: 1 (0.00%)
Missing values: 268561 (100.00%)
Value Counts:
A: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIA_TECNOLOGIA_DISEÑA

Total number of unique values: 4 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5621 (2.1%)
A: 1915 (0.7%)
B: 55 (0.0%)
CNE: 21 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIA_TECNOLOGIA_EXPLICA

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5559 (2.1%)
A: 2025 (0.8%)
B: 28 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIA_TECNOLOGIA_INDAGA

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5259 (2.0%)
A: 2315 (0.9%)
B: 38 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIAS_SOCIALES_CONSTRUYE

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5960 (2.2%)
A: 1594 (0.6%)
B: 58 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 6006 (2.2%)
A: 1566 (0.6%)
B: 40 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5969 (2.2%)
A: 1592 (0.6%)
B: 51 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_COMUNICACION_LENGUA_ESCRIBE

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5511 (2.1%)
A: 1987 (0.7%)
B: 114 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_COMUNICACION_LENGUA_LEE

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5370 (2.0%)
A: 2163 (0.8%)
B: 79 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_COMUNICACION_LENGUA_COMUNICA

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5522 (2.1%)
A: 2029 (0.8%)
B: 61 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_MATEMATICA_CANTIDAD

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5663 (2.1%)
A: 1856 (0.7%)
B: 93 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_MATEMATICA_FORMA

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5540 (2.1%)
A: 1930 (0.7%)
B: 142 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_MATEMATICA_GESTION_DATOS

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5670 (2.1%)
A: 1806 (0.7%)
B: 136 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

4TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA

Total number of unique values: 3 (0.00%)
Missing values: 260953 (97.17%)
Value Counts:
AD: 5453 (2.0%)
A: 2002 (0.7%)
B: 157 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIA_TECNOLOGIA_DISEÑA

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5759 (2.1%)
A: 1776 (0.7%)
CNE: 85 (0.0%)
B: 68 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIA_TECNOLOGIA_EXPLICA

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5657 (2.1%)
A: 1830 (0.7%)
B: 193 (0.1%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIA_TECNOLOGIA_INDAGA

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5751 (2.1%)
A: 1829 (0.7%)
B: 100 (0.0%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIAS_SOCIALES_CONSTRUYE

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 6223 (2.3%)
A: 1413 (0.5%)
B: 44 (0.0%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIAS_SOCIALES_ESPACIO_AMBIENTE

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 6239 (2.3%)
A: 1401 (0.5%)
B: 29 (0.0%)
CNE: 19 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_CIENCIAS_SOCIALES_RECURSOS_ECOLOGICOS

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 6367 (2.4%)
A: 1220 (0.5%)
B: 74 (0.0%)
CNE: 27 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_COMUNICACION_LENGUA_ESCRIBE

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5733 (2.1%)
A: 1800 (0.7%)
B: 131 (0.0%)
CNE: 24 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_COMUNICACION_LENGUA_LEE

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5768 (2.1%)
A: 1777 (0.7%)
B: 119 (0.0%)
CNE: 24 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_COMUNICACION_LENGUA_COMUNICA

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5909 (2.2%)
A: 1681 (0.6%)
B: 74 (0.0%)
CNE: 24 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_MATEMATICA_CANTIDAD

Total number of unique values: 4 (0.00%)
Missing values: 260867 (97.13%)
Value Counts:
AD: 5751 (2.1%)
A: 1781 (0.7%)
B: 158 (0.1%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_MATEMATICA_FORMA

Total number of unique values: 4 (0.00%)
Missing values: 260867 (97.13%)
Value Counts:
AD: 5599 (2.1%)
A: 1877 (0.7%)
B: 214 (0.1%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_MATEMATICA_GESTION_DATOS

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5625 (2.1%)
A: 1876 (0.7%)
B: 173 (0.1%)
CNE: 14 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

5TO_MATEMATICA_REGULARIDAD_EQUIVALENCIA

Total number of unique values: 4 (0.00%)
Missing values: 260877 (97.14%)
Value Counts:
AD: 5638 (2.1%)
A: 1946 (0.7%)
B: 96 (0.0%)
CNE: 8 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

MODALIDAD_DE_ADMISION

Total number of unique values: 16 (0.01%)
Missing values: 13744 (5.12%)
Most frequent values:
Admisión Selectiva: 124912 (46.5%)
Admisión por Excelencia Académica: 34629 (12.9%)
Admisión Regular: 27396 (10.2%)
Admisión por Bachillerato: 26611 (9.9%)
Admisión Escuela Preuniversitaria: 18950 (7.1%)
Least frequent values:
Admisión por Bachillerato Selectiva: 1258 (0.5%)
Reingreso: 743 (0.3%)
Estudiantes/Egresados Exterior: 346 (0.1%)
Admisión Graduados: 101 (0.0%)
Ninguno: 2 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

AÑO_INGRESO_CARRERA

Total number of unique values: 22 (0.01%)
Missing values: 217 (0.08%)
Most frequent values:
2018: 43359 (16.1%)
2017: 41861 (15.6%)
2016: 32069 (11.9%)
2019: 30707 (11.4%)
2021: 29279 (10.9%)
Least frequent values:
2006: 9 (0.0%)
2001: 5 (0.0%)
2007: 5 (0.0%)
2005: 2 (0.0%)
1999: 1 (0.0%)
Minimum value: 1998
Maximum value: 2022
Median value: 2018.0
Mode value(s): 2018
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

SEMESTRE_INGRESO_CARRERA

Total number of unique values: 2 (0.00%)
Missing values: 217 (0.08%)
Value Counts:
I PER: 246112 (91.6%)
II PER: 22236 (8.3%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PIDIO_RECATEGORIZACION_DE_ESCALA

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 192409 (71.6%)
SI: 76156 (28.4%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ESCALA_DE_PAGO_INICIAL

Total number of unique values: 11 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
3: 67613 (25.2%)
4: 66768 (24.9%)
1: 63306 (23.6%)
2: 37809 (14.1%)
6: 15523 (5.8%)
5: 12461 (4.6%)
A: 1766 (0.7%)
D: 1321 (0.5%)
B: 962 (0.4%)
C: 633 (0.2%)
7: 403 (0.2%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

AÑO_DE_SOLICITUD_DE_RECATEGORIZACION

Total number of unique values: 11 (0.00%)
Missing values: 192409 (71.64%)
Value Counts:
2020: 36824 (13.7%)
2019: 8494 (3.2%)
2018: 5774 (2.1%)
2021: 5152 (1.9%)
2013: 4739 (1.8%)
2017: 4247 (1.6%)
2016: 3980 (1.5%)
2022: 2911 (1.1%)
2015: 2361 (0.9%)
2014: 1666 (0.6%)
2012: 8 (0.0%)
Minimum value: 2012
Maximum value: 2022
Median value: 2020.0
Mode value(s): 2020
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ESCALA_DE_PAGO_REGATEGORIZADO

Total number of unique values: 8 (0.00%)
Missing values: 192409 (71.64%)
Value Counts:
4: 19620 (7.3%)
6: 15265 (5.7%)
3: 13654 (5.1%)
5: 11402 (4.2%)
2: 8895 (3.3%)
7: 3770 (1.4%)
1: 3314 (1.2%)
0: 236 (0.1%)
Minimum value: 0
Maximum value: 7
Median value: 4.0
Mode value(s): 4
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ASIGNACION_ESCALA_INGRESOS_ESTIMADOS

Total number of unique values: 2926 (1.09%)
Missing values: 0 (0.00%)

Minimum value: 0.0
Maximum value: 2585550.0
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ASIGNACION_ESCALA_MONTO_PAGADO_COLEGIO_PROCEDENCIA

Total number of unique values: 1167 (0.43%)
Missing values: 0 (0.00%)
Most frequent values:
0.0: 142353 (53.0%)
2000.0: 2079 (0.8%)
1500.0: 2029 (0.8%)
2500.0: 1700 (0.6%)
300.0: 1626 (0.6%)
Least frequent values:
15000.0: 2 (0.0%)
1867.0: 1 (0.0%)
10204.0: 1 (0.0%)
10532.0: 1 (0.0%)
1830.0: 1 (0.0%)
Minimum value: 0.0
Maximum value: 28450.0
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES

Total number of unique values: 2972 (1.11%)
Missing values: 0 (0.00%)

Minimum value: 0.0
Maximum value: 613646.25
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

RECATEGORIZACION_INGRESOS_ESTIMADOS

Total number of unique values: 275 (0.10%)
Missing values: 0 (0.00%)
Most frequent values:
0.0: 255102 (95.0%)
3500.0: 156 (0.1%)
4000.0: 145 (0.1%)
700.0: 106 (0.0%)
2000.0: 105 (0.0%)
Least frequent values:
19299.83: 7 (0.0%)
6708.0: 7 (0.0%)
20013.92: 6 (0.0%)
8595.94: 6 (0.0%)
14554.14: 4 (0.0%)
Minimum value: 0.0
Maximum value: 106154.67
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

RECATEGORIZACION_MONTO_PAGADO_COLEGIO_PROCEDENCIA

Total number of unique values: 201 (0.07%)
Missing values: 0 (0.00%)
Most frequent values:
0.0: 256107 (95.4%)
2500.0: 316 (0.1%)
5000.0: 314 (0.1%)
2000.0: 266 (0.1%)
4000.0: 242 (0.1%)
Least frequent values:
8856.0: 7 (0.0%)
3400.0: 7 (0.0%)
2897.8: 7 (0.0%)
6380.0: 6 (0.0%)
4680.0: 6 (0.0%)
Minimum value: 0.0
Maximum value: 19626.0
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

RECATEGORIZACION_INGRESO_ESTIMADO_FACTORIZADO_POR_NUMERO_DE_FAMILIARES

Total number of unique values: 279 (0.10%)
Missing values: 0 (0.00%)
Most frequent values:
0.0: 255102 (95.0%)
500.0: 118 (0.0%)
2000.0: 113 (0.0%)
233.333333: 106 (0.0%)
833.333333: 101 (0.0%)
Least frequent values:
1166.666666: 7 (0.0%)
1677.0: 7 (0.0%)
6671.306666: 6 (0.0%)
1719.188: 6 (0.0%)
4851.38: 4 (0.0%)
Minimum value: 0.0
Maximum value: 35384.89
Median value: 0.0
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ESTADO_MATRICULA

Total number of unique values: 17 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
Matriculado: 260261 (96.9%)
Retirado: 6147 (2.3%)
Baja por 2 ciclos observados consecutivo: 562 (0.2%)
Baja por desaprobar las asignaturas de N: 372 (0.1%)
Reservado: 288 (0.1%)
Least frequent values:
RETIRO EXCEPCIONAL: 11 (0.0%)
Baja por desaprobar una asignatu 2 veces: 5 (0.0%)
Bja por cursar 17 period acade. y no egr: 4 (0.0%)
Baja por ser expulsado por cometer falta: 4 (0.0%)
Baja por desaprobar asig dos o mas veces: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

CARRERA

Total number of unique values: 9 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
Administración: 79944 (29.8%)
Economía: 78898 (29.4%)
Ingeniería Empresarial: 41482 (15.4%)
Negocios Internacionales: 20009 (7.5%)
Derecho: 15672 (5.8%)
Finanzas: 13704 (5.1%)
Marketing: 8572 (3.2%)
Contabilidad: 5184 (1.9%)
Ingeniería de la Información: 5100 (1.9%)
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\n", "

PLAN_STUDIO

Total number of unique values: 9 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
2017-I PER: 143757 (53.5%)
2015-I PER: 78168 (29.1%)
2018-I PER: 30890 (11.5%)
2022-I PER: 10456 (3.9%)
2017-II PER: 3892 (1.4%)
2018-II PER: 1241 (0.5%)
2010-I PER: 159 (0.1%)
: 1 (0.0%)
2008-I PER: 1 (0.0%)
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\n", "

PRIMER_SEMESTRE_EN_QUE_CURSO_ESTUDIO

Total number of unique values: 38 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
2018-I PER: 39834 (14.8%)
2017-I PER: 35611 (13.3%)
2021-I PER: 28801 (10.7%)
2019-I PER: 28455 (10.6%)
2020-I PER: 27152 (10.1%)
Least frequent values:
1998-I PER: 8 (0.0%)
2007-I PER: 4 (0.0%)
2005-I PER: 2 (0.0%)
1999-I PER: 1 (0.0%)
2008-I PER: 1 (0.0%)
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\n", "

CAMBIO_DE_CARRERA

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 227682 (84.8%)
SI: 40883 (15.2%)
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NUMERO_VECES_CAMBIO_CARRERA

Total number of unique values: 4 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 227682 (84.8%)
1: 34575 (12.9%)
2: 6120 (2.3%)
3: 188 (0.1%)
Minimum value: 0
Maximum value: 3
Median value: 0.0
Mode value(s): 0
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\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CARRERA_PROCEDENTE

Total number of unique values: 9 (0.00%)
Missing values: 227977 (84.89%)
Value Counts:
Economía: 21071 (7.8%)
Negocios Internacionales: 5088 (1.9%)
Administración: 3816 (1.4%)
Ingeniería Empresarial: 3579 (1.3%)
Finanzas: 3005 (1.1%)
Marketing: 1392 (0.5%)
Contabilidad: 970 (0.4%)
Derecho: 845 (0.3%)
Ingeniería de la Información: 822 (0.3%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

CARRERA_DESTINO

Total number of unique values: 9 (0.00%)
Missing values: 227682 (84.78%)
Value Counts:
Administración: 22561 (8.4%)
Finanzas: 3400 (1.3%)
Derecho: 3227 (1.2%)
Ingeniería Empresarial: 3062 (1.1%)
Economía: 2489 (0.9%)
Negocios Internacionales: 1870 (0.7%)
Marketing: 1782 (0.7%)
Contabilidad: 1454 (0.5%)
Ingeniería de la Información: 1038 (0.4%)
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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AGREGACION_DE_CARRERA

Total number of unique values: 8 (0.00%)
Missing values: 264023 (98.31%)
Value Counts:
Administración: 1793 (0.7%)
Contabilidad: 1047 (0.4%)
Economía: 820 (0.3%)
Ingeniería Empresarial: 516 (0.2%)
Negocios Internacionales: 174 (0.1%)
Marketing: 105 (0.0%)
Finanzas: 74 (0.0%)
Derecho: 13 (0.0%)
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

FACTOR_DE_INSCRIPCION

Total number of unique values: 3395 (1.26%)
Missing values: 56259 (20.95%)

Minimum value: 0.0
Maximum value: 575.8
Median value: 245.8
Mode value(s): 0.0
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CICLO_SEGUN_REGLAMENTO

Total number of unique values: 12 (0.00%)
Missing values: 0 (0.00%)
Most frequent values:
1: 45050 (16.8%)
2: 28643 (10.7%)
3: 24261 (9.0%)
10: 23084 (8.6%)
11: 22782 (8.5%)
Least frequent values:
5: 19696 (7.3%)
7: 19691 (7.3%)
8: 19268 (7.2%)
6: 19240 (7.2%)
12: 4934 (1.8%)
Minimum value: 1
Maximum value: 12
Median value: 5.0
Mode value(s): 1
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

CREDITOS_ACUMULADO

Total number of unique values: 442 (0.16%)
Missing values: 0 (0.00%)
Most frequent values:
5.0: 6936 (2.6%)
9.0: 3576 (1.3%)
15.0: 3192 (1.2%)
209.0: 3102 (1.2%)
19.0: 2957 (1.1%)
Least frequent values:
218.85: 1 (0.0%)
69.15: 1 (0.0%)
175.85: 1 (0.0%)
287.0: 1 (0.0%)
60.15: 1 (0.0%)
Minimum value: 0.0
Maximum value: 460.0
Median value: 95.0
Mode value(s): 5.0
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CREDITOS_CICLO

Total number of unique values: 73 (0.03%)
Missing values: 0 (0.00%)
Most frequent values:
20: 18914 (7.0%)
19: 18764 (7.0%)
18: 18394 (6.8%)
21: 18068 (6.7%)
17: 16543 (6.2%)
Least frequent values:
68: 20 (0.0%)
65: 20 (0.0%)
54: 18 (0.0%)
66: 18 (0.0%)
53: 16 (0.0%)
Minimum value: 0
Maximum value: 125
Median value: 17.0
Mode value(s): 20
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CICLO_SEMESTRES_MATRICULADOS

Total number of unique values: 20 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
11: 38640 (14.4%)
12: 37211 (13.9%)
10: 37033 (13.8%)
6: 25138 (9.4%)
8: 20648 (7.7%)
Least frequent values:
16: 1579 (0.6%)
17: 696 (0.3%)
0: 625 (0.2%)
18: 221 (0.1%)
19: 164 (0.1%)
Minimum value: 0
Maximum value: 19
Median value: 10.0
Mode value(s): 11
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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AÑOS_ACUMULADOS_POR_ALUMNO

Total number of unique values: 12 (0.00%)
Missing values: 862 (0.32%)
Most frequent values:
6: 78130 (29.1%)
5: 42618 (15.9%)
3: 37003 (13.8%)
7: 34056 (12.7%)
4: 32898 (12.2%)
Least frequent values:
1: 7506 (2.8%)
9: 2893 (1.1%)
10: 714 (0.3%)
11: 219 (0.1%)
13: 1 (0.0%)
Minimum value: 1
Maximum value: 13
Median value: 5.0
Mode value(s): 6
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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UBICACION_ACTUAL_DEL_ALUMNO_EN_EL_TERCIO

Total number of unique values: 938 (0.35%)
Missing values: 190995 (71.12%)
Most frequent values:
22: 284 (0.1%)
28: 283 (0.1%)
25: 282 (0.1%)
33: 282 (0.1%)
10: 280 (0.1%)
Least frequent values:
889: 4 (0.0%)
921: 4 (0.0%)
919: 3 (0.0%)
940: 3 (0.0%)
938: 3 (0.0%)
Minimum value: 1
Maximum value: 940
Median value: 228.0
Mode value(s): 22
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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TERCIO_SUPERIOR

Total number of unique values: 2 (0.00%)
Missing values: 190995 (71.12%)
Value Counts:
NO: 50875 (18.9%)
SI: 26695 (9.9%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

TERCIO_MEDIO

Total number of unique values: 2 (0.00%)
Missing values: 190995 (71.12%)
Value Counts:
NO: 51124 (19.0%)
SI: 26446 (9.8%)
\n", "
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

TERCIO_INFERIOR

Total number of unique values: 2 (0.00%)
Missing values: 190995 (71.12%)
Value Counts:
NO: 53141 (19.8%)
SI: 24429 (9.1%)
\n", "
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

PERIODO_DE_EGRESO_DEL_ALUMNO

Total number of unique values: 10 (0.00%)
Missing values: 255451 (95.12%)
Value Counts:
201901: 1396 (0.5%)
201801: 1395 (0.5%)
202001: 1365 (0.5%)
201902: 1343 (0.5%)
201802: 1336 (0.5%)
202002: 1326 (0.5%)
202201: 1286 (0.5%)
202101: 1256 (0.5%)
202102: 1208 (0.4%)
202202: 1203 (0.4%)
Minimum value: 201801
Maximum value: 202202
Median value: 202001.0
Mode value(s): 201901
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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TIENE_PROCESO_DISCIPLINARIO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 267616 (99.6%)
SI: 949 (0.4%)
\n", "
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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\n", "

MOTIVO_PROCESO_DISCIPLINARIO

Total number of unique values: 15 (0.01%)
Missing values: 267616 (99.65%)
Most frequent values:
2021-I PER-Faltas graves - 10.7 Copiar de otro estudiante o permitir que otro estudiante copie durante el desarrollo de una evaluación académica, tener disponible información no autorizada relacionada con la materia de la evaluación académica, o cualquier otro acto que implique la alteración de la objetividad de dicha evaluación académica.: 317 (0.1%)
2021-II PER-Faltas graves - 10.7 Copiar de otro estudiante o permitir que otro estudiante copie durante el desarrollo de una evaluación académica, tener disponible información no autorizada relacionada con la materia de la evaluación académica, o cualquier otro acto que implique la alteración de la objetividad de dicha evaluación académica.: 91 (0.0%)
2021-CUR VERANO-Faltas graves - 10.7 Copiar de otro estudiante o permitir que otro estudiante copie durante el desarrollo de una evaluación académica, tener disponible información no autorizada relacionada con la materia de la evaluación académica, o cualquier otro acto que implique la alteración de la objetividad de dicha evaluación académica.: 81 (0.0%)
2021-II PER-Faltas leves - 9.2 Perturbar el desenvolvimiento de las actividades o eventos institucionales.: 65 (0.0%)
2021-I PER-Faltas muy graves - 11.7 El hostigamiento sexual en todas sus formas contra las personas que se encuentren en las instalaciones, actividades o eventos de la Universidad. Se incluyen, aunque sin limitarse a ellos: los comentarios insinuantes e inoportunos, actitudes y gestos insinuantes o impropios, los pedidos de favores sexuales en forma implícita o explícita, el ofrecimiento de ventajas de cualquier tipo a cambio de concesiones de connotación sexual y en general cualquier otra conducta verbal o física de una naturaleza sexual, realizada contra una persona que rechaza tales conductas.: 55 (0.0%)
Least frequent values:
2017-II PER-Faltas muy graves - 11.5 Apropiarse de bienes de la Universidad, de las personas que se encuentren en las instalaciones, actividades o eventos de la Universidad, con prescindencia de su valor.: 34 (0.0%)
2019-II PER-Faltas muy graves - 11.2 Falsificar, adulterar, sustraer, destruir o presentar fraudulentamente listas o registros de notas o calificaciones, certificados, firmas, constancias o documentos académicos o administrativos.: 28 (0.0%)
2018-I PER-Faltas graves - 10.7 Copiar de otro estudiante o permitir que otro estudiante copie durante el desarrollo de una evaluación académica, tener disponible información no autorizada relacionada con la materia de la evaluación académica, o cualquier otro acto que implique la alteración de la objetividad de dicha evaluación académica.: 24 (0.0%)
2020-II PER-Faltas graves - 10.7 Copiar de otro estudiante o permitir que otro estudiante copie durante el desarrollo de una evaluación académica, tener disponible información no autorizada relacionada con la materia de la evaluación académica, o cualquier otro acto que implique la alteración de la objetividad de dicha evaluación académica.: 18 (0.0%)
2018-I PER-Faltas graves - 10.5 La amenaza, coacción o agresión física sin causar lesiones contra cualquier persona que se encuentre en las instalaciones, actividades o eventos de la Universidad, o mantenga algún vínculo con esta.: 13 (0.0%)
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TIENE_BAJA_ACADEMICA

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 257166 (95.8%)
SI: 11399 (4.2%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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MOTIVO_BAJA_ACADEMICA

Total number of unique values: 559 (0.21%)
Missing values: 257166 (95.76%)
Most frequent values:
Baja por no matricularse en 6 periodos Semestre: 2018-I PER Carrera: ADMI: 318 (0.1%)
Baja por no matricularse en 6 periodos Semestre: 2018-I PER Carrera: ECON: 257 (0.1%)
Baja por 2 ciclos observados consecutivo Semestre: 2022-I PER Carrera: ECON: 190 (0.1%)
Baja por 2 ciclos observados consecutivo Semestre: 2018-I PER Carrera: ECON: 167 (0.1%)
Baja por 2 ciclos observados consecutivo Semestre: 2021-II PER Carrera: ECON: 163 (0.1%)
Least frequent values:
Baja por 2 ciclos observados consecutivo Semestre: 2021-CUR VERANO Carrera: DERE: 1 (0.0%)
Baja por no matricularse en 6 periodos Semestre: 2019-CUR VERANO Carrera: NEGINT: 1 (0.0%)
Baja por 3 ciclos obser. alternos (CCurs Semestre: 2018-CUR VERANO Carrera: FINAN: 1 (0.0%)
Baja por desaprobar las asignaturas de N Semestre: 2018-CUR VERANO Carrera: ECON: 1 (0.0%)
Baja por no matricularse en 6 periodos Semestre: 2020-CUR VERANO Carrera: FINAN: 1 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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RENUNCIA

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 264220 (98.4%)
SI: 4345 (1.6%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CURSOS_OBLIGATORIOS_PLAN_ACADEMICO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
SI: 191526 (71.3%)
NO: 77039 (28.7%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CODIGO_DEL_CURSO

Total number of unique values: 2294 (0.85%)
Missing values: 0 (0.00%)
Most frequent values:
132641: 7059 (2.6%)
138649: 7029 (2.6%)
170131: 6852 (2.6%)
134654: 6758 (2.5%)
120000: 6074 (2.3%)
Least frequent values:
140096: 1 (0.0%)
1MN262: 1 (0.0%)
170281: 1 (0.0%)
160157: 1 (0.0%)
1MN428: 1 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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NOMBRE_DEL_CURSO

Total number of unique values: 2246 (0.84%)
Missing values: 0 (0.00%)
Most frequent values:
Economía General I: 7059 (2.6%)
Matemáticas I: 7029 (2.6%)
Nivelación en Informática: 6852 (2.6%)
Nivelación en Matemáticas: 6758 (2.5%)
Nivelación en Lenguaje: 6074 (2.3%)
Least frequent values:
Internationalization in Professional Spo: 1 (0.0%)
Business and Politics in Europe (Univers: 1 (0.0%)
Supply Chain Management (École Supérieur: 1 (0.0%)
Marketing of Innovations (École Supérieu: 1 (0.0%)
Frontiers of Strategy (University of Aar: 1 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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SECCION_DEL_CURSO

Total number of unique values: 111 (0.04%)
Missing values: 0 (0.00%)
Most frequent values:
A: 75552 (28.1%)
B: 32614 (12.1%)
C: 22988 (8.6%)
D: 15793 (5.9%)
E: 12258 (4.6%)
Least frequent values:
VAB: 13 (0.0%)
RECA: 13 (0.0%)
REC : 2 (0.0%)
VD: 2 (0.0%)
PRE: 1 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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DOCENTE_DEL_CURSO

Total number of unique values: 866 (0.32%)
Missing values: 21102 (7.86%)
Most frequent values:
GONZALEZ VIGIL, LUIS FERNANDO: 2019 (0.8%)
PROLEON PATRICIO, DANIEL GIOVANNI: 1827 (0.7%)
DAVILA QUESQUEN, ERICK NOMBERTO: 1810 (0.7%)
FLORES SALINAS, JOSE ALBERTO: 1784 (0.7%)
CORNEJO ALVAREZ, ANA LOURDES: 1766 (0.7%)
Least frequent values:
COLOMA SALAS, FABIOLA FATIMA: 6 (0.0%)
MUÑOZ ROMERO, MARTHA GISSELLE: 6 (0.0%)
ZAMUDIO ESCUDERO, MARIA NATALIA: 6 (0.0%)
GHIRETTI MATUTE, MARIA FRANCESCA: 2 (0.0%)
MEYER ., DAVID THEOPHILE IVAN: 1 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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JEFE_DE_PRACTICA_DEL_CURSO

Total number of unique values: 524 (0.20%)
Missing values: 173938 (64.77%)
Most frequent values:
BIFFI OLIVAS, PATRICIA EDDA: 4246 (1.6%)
RODRIGUEZ CUADROS DE MURO, LORENA: 3545 (1.3%)
RUBINA ESPINOSA, MAGALY SUSANA: 3505 (1.3%)
ARANA RAMIREZ, MILUSKA: 3234 (1.2%)
CABALLERO FELIPE, MARIA ISABEL: 3166 (1.2%)
Least frequent values:
ASO NAKAMINE, SACHIE CAROLINA: 7 (0.0%)
RUIZ LLACSAHUANGA, KETTY MARGARITA: 6 (0.0%)
GONZALES BECERRA, KATIA: 5 (0.0%)
ZUÑIGA PARRA, OSCAR MARCIAL: 3 (0.0%)
ESTRADA SEGURA, MIGUEL LUIS RENE: 3 (0.0%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
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CREDITAJE_DEL_CURSO

Total number of unique values: 7 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
4: 123517 (46.0%)
5: 47280 (17.6%)
1: 41000 (15.3%)
0: 22669 (8.4%)
3: 21645 (8.1%)
2: 12439 (4.6%)
8: 15 (0.0%)
Minimum value: 0
Maximum value: 8
Median value: 4.0
Mode value(s): 4
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ES_CURSO_NIVELATORIO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 248878 (92.7%)
SI: 19687 (7.3%)
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" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EXONERADO_CURSO_NIVELATORIO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 262067 (97.6%)
SI: 6498 (2.4%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

CURSOS_EQUIVALENTES

Total number of unique values: 361 (0.13%)
Missing values: 60226 (22.43%)
Most frequent values:
133100, 134198: 7059 (2.6%)
110043, 113038, 117005: 7029 (2.6%)
113024, 136653: 6852 (2.6%)
115023, 116000: 6758 (2.5%)
123092: 6074 (2.3%)
Least frequent values:
141247, 143425, 1MN020: 1 (0.0%)
497007: 1 (0.0%)
136281, 163062, 167026, 1F0112: 1 (0.0%)
180092, 1MN061: 1 (0.0%)
140337, 141038, 144058: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

DEPARTAMENTO_DEL_CURSO

Total number of unique values: 11 (0.00%)
Missing values: 18312 (6.82%)
Value Counts:
Economía: 58257 (21.7%)
Humanidades: 29482 (11.0%)
Dirección de Formación Extraacadémica: 24794 (9.2%)
Ingeniería: 24759 (9.2%)
Administración: 23305 (8.7%)
Ciencias Sociales y Políticas: 22927 (8.5%)
Marketing y Negocios Internacionales: 17316 (6.4%)
Contabilidad: 14749 (5.5%)
Finanzas: 13547 (5.0%)
Derecho: 11925 (4.4%)
Oficina del Preboste: 9192 (3.4%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_VECES_QUE_LLEVO_EL_CURSO

Total number of unique values: 5 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
1: 190757 (71.0%)
0: 58930 (21.9%)
2: 16562 (6.2%)
3: 2302 (0.9%)
4: 14 (0.0%)
Minimum value: 0
Maximum value: 4
Median value: 1.0
Mode value(s): 1
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_ALUMNOS_POR_CURSO

Total number of unique values: 79 (0.03%)
Missing values: 0 (0.00%)
Most frequent values:
30: 51447 (19.2%)
35: 42895 (16.0%)
0: 18312 (6.8%)
32: 15671 (5.8%)
31: 12585 (4.7%)
Least frequent values:
3: 50 (0.0%)
47: 47 (0.0%)
46: 45 (0.0%)
2: 30 (0.0%)
1: 6 (0.0%)
Minimum value: 0
Maximum value: 307
Median value: 30.0
Mode value(s): 30
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_HORAS_TOTALES_DEL_CURSO

Total number of unique values: 135 (0.05%)
Missing values: 22780 (8.48%)
Most frequent values:
54.0: 36476 (13.6%)
56.0: 26450 (9.8%)
52.0: 21444 (8.0%)
70.0: 18688 (7.0%)
84.0: 16786 (6.3%)
Least frequent values:
31.0: 7 (0.0%)
101.0: 7 (0.0%)
47.5: 6 (0.0%)
62.5: 6 (0.0%)
57.5: 2 (0.0%)
Minimum value: 1.0
Maximum value: 116.0
Median value: 56.0
Mode value(s): 54.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_DE_APROBADOS_POR_CURSO

Total number of unique values: 93 (0.03%)
Missing values: 0 (0.00%)
Most frequent values:
100: 73199 (27.3%)
96: 25130 (9.4%)
93: 14199 (5.3%)
90: 10212 (3.8%)
97: 9038 (3.4%)
Least frequent values:
9: 42 (0.0%)
7: 40 (0.0%)
2: 37 (0.0%)
14: 35 (0.0%)
10: 30 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 93.0
Mode value(s): 100
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_RETIRADOS_EN_EL_CURSO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 257180 (95.8%)
1: 11385 (4.2%)
Minimum value: 0
Maximum value: 1
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_RETIRADOS_DE_CICLO

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 264165 (98.4%)
1: 4400 (1.6%)
Minimum value: 0
Maximum value: 1
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

CALIFICACION_DEL_PROFESOR_DE_LA_SECCION

Total number of unique values: 3578 (1.33%)
Missing values: 0 (0.00%)

Minimum value: 0.0
Maximum value: 7.0
Median value: 5.9844
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EXAMEN_FINAL_NOTA

Total number of unique values: 22 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
-1: 29816 (11.1%)
20: 28033 (10.4%)
17: 22866 (8.5%)
16: 22508 (8.4%)
15: 19950 (7.4%)
Least frequent values:
5: 2525 (0.9%)
4: 1733 (0.6%)
3: 1093 (0.4%)
2: 776 (0.3%)
1: 468 (0.2%)
Minimum value: -1
Maximum value: 20
Median value: 14.0
Mode value(s): -1
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

EXAMEN_PARCIAL_NOTA

Total number of unique values: 23 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
-1.0: 89153 (33.2%)
15.0: 16142 (6.0%)
16.0: 15834 (5.9%)
14.0: 15739 (5.9%)
13.0: 14790 (5.5%)
Least frequent values:
4.0: 1674 (0.6%)
3.0: 1110 (0.4%)
2.0: 748 (0.3%)
1.0: 568 (0.2%)
7.5: 1 (0.0%)
Minimum value: -1.0
Maximum value: 20.0
Median value: 10.0
Mode value(s): -1.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

TRABAJO_NOTA

Total number of unique values: 22 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
-1: 78831 (29.4%)
16: 25622 (9.5%)
17: 25391 (9.5%)
15: 22435 (8.4%)
14: 18577 (6.9%)
Least frequent values:
5: 1009 (0.4%)
4: 895 (0.3%)
3: 786 (0.3%)
2: 599 (0.2%)
1: 385 (0.1%)
Minimum value: -1
Maximum value: 20
Median value: 13.0
Mode value(s): -1
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NOTA_FINAL_DEL_CURSO

Total number of unique values: 33 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
REC: 47928 (17.8%)
16: 27118 (10.1%)
17: 25414 (9.5%)
15: 24768 (9.2%)
14: 22318 (8.3%)
Least frequent values:
NASI: 202 (0.1%)
1: 174 (0.1%)
NAPR: 13 (0.0%)
MAT: 10 (0.0%)
ANU: 5 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_EXAMEN_PARCIAL

Total number of unique values: 9 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 267563 (99.6%)
20: 381 (0.1%)
30: 277 (0.1%)
25: 198 (0.1%)
15: 43 (0.0%)
35: 42 (0.0%)
33: 30 (0.0%)
10: 26 (0.0%)
50: 5 (0.0%)
Minimum value: 0
Maximum value: 50
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_EXAMEN_FINAL

Total number of unique values: 10 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 265912 (99.0%)
100: 1472 (0.5%)
30: 398 (0.1%)
40: 367 (0.1%)
25: 164 (0.1%)
20: 111 (0.0%)
35: 71 (0.0%)
80: 37 (0.0%)
10: 26 (0.0%)
50: 7 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_TRABAJO

Total number of unique values: 22 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
40: 79020 (29.4%)
0: 78831 (29.4%)
50: 46458 (17.3%)
35: 19429 (7.2%)
60: 14100 (5.3%)
Least frequent values:
47: 96 (0.0%)
75: 95 (0.0%)
53: 25 (0.0%)
15: 24 (0.0%)
1: 19 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 40.0
Mode value(s): 40
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_TRABAJO_FINAL

Total number of unique values: 13 (0.00%)
Missing values: 0 (0.00%)
Most frequent values:
0: 266001 (99.0%)
25: 961 (0.4%)
33: 706 (0.3%)
50: 237 (0.1%)
100: 159 (0.1%)
Least frequent values:
20: 65 (0.0%)
75: 44 (0.0%)
70: 32 (0.0%)
35: 29 (0.0%)
1: 19 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_PROMEDIO_PRACTICA

Total number of unique values: 7 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 268049 (99.8%)
30: 232 (0.1%)
40: 188 (0.1%)
35: 30 (0.0%)
25: 29 (0.0%)
50: 20 (0.0%)
45: 17 (0.0%)
Minimum value: 0
Maximum value: 50
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_NOTA_PARCIAL

Total number of unique values: 16 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
0: 89204 (33.2%)
30: 79816 (29.7%)
20: 50243 (18.7%)
25: 35623 (13.3%)
35: 3644 (1.4%)
Least frequent values:
23: 199 (0.1%)
14: 184 (0.1%)
18: 58 (0.0%)
60: 58 (0.0%)
21: 57 (0.0%)
Minimum value: 0
Maximum value: 60
Median value: 20.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_PRE_FINAL

Total number of unique values: 8 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 268004 (99.8%)
33: 297 (0.1%)
50: 117 (0.0%)
25: 69 (0.0%)
20: 27 (0.0%)
35: 23 (0.0%)
100: 20 (0.0%)
30: 8 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_NOTA_FINAL

Total number of unique values: 24 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
30: 93372 (34.8%)
100: 46381 (17.3%)
35: 35976 (13.4%)
0: 35398 (13.2%)
25: 18875 (7.0%)
Least frequent values:
80: 34 (0.0%)
48: 25 (0.0%)
10: 21 (0.0%)
75: 20 (0.0%)
65: 13 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 30.0
Mode value(s): 30
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_PARTICIPACION

Total number of unique values: 16 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
0: 257147 (95.7%)
100: 6571 (2.4%)
33: 1640 (0.6%)
50: 1290 (0.5%)
25: 1020 (0.4%)
Least frequent values:
15: 47 (0.0%)
35: 44 (0.0%)
45: 42 (0.0%)
70: 30 (0.0%)
40: 25 (0.0%)
Minimum value: 0
Maximum value: 100
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_ASISTENCIA

Total number of unique values: 6 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 261835 (97.5%)
100: 2345 (0.9%)
33: 1816 (0.7%)
50: 1406 (0.5%)
25: 987 (0.4%)
1: 176 (0.1%)
Minimum value: 0
Maximum value: 100
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_CASOS

Total number of unique values: 4 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 268428 (99.9%)
30: 100 (0.0%)
15: 20 (0.0%)
33: 17 (0.0%)
Minimum value: 0
Maximum value: 33
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PORCENTAJE_CONTROL

Total number of unique values: 6 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 268293 (99.9%)
30: 153 (0.1%)
40: 62 (0.0%)
60: 27 (0.0%)
50: 16 (0.0%)
35: 14 (0.0%)
Minimum value: 0
Maximum value: 60
Median value: 0.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PROMEDIO_ACUMULADO

Total number of unique values: 1065 (0.40%)
Missing values: 0 (0.00%)
Most frequent values:
15.0: 3750 (1.4%)
14.0: 3742 (1.4%)
13.0: 3060 (1.1%)
16.0: 2707 (1.0%)
0.0: 2465 (0.9%)
Least frequent values:
18.06: 1 (0.0%)
5.23: 1 (0.0%)
9.1: 1 (0.0%)
10.47: 1 (0.0%)
8.35: 1 (0.0%)
Minimum value: 0.0
Maximum value: 20.0
Median value: 13.9
Mode value(s): 15.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PROMEDIO_CICLO

Total number of unique values: 1120 (0.42%)
Missing values: 0 (0.00%)
Most frequent values:
0.0: 9786 (3.6%)
15.0: 8808 (3.3%)
16.0: 8151 (3.0%)
14.0: 7417 (2.8%)
13.0: 6201 (2.3%)
Least frequent values:
19.55: 2 (0.0%)
10.62: 2 (0.0%)
2.88: 2 (0.0%)
5.71: 2 (0.0%)
1.77: 2 (0.0%)
Minimum value: 0.0
Maximum value: 20.0
Median value: 14.58
Mode value(s): 0.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HA_TENIDO_EL_ROL_DE_JP

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 268260 (99.9%)
SI: 305 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HA_TENIDO_EL_ROL_DE_AI_EN_EL_CIUP

Total number of unique values: 2 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
NO: 264313 (98.4%)
SI: 4252 (1.6%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

NUMERO_DE_PRACTICAS_PREPROFESIONALES

Total number of unique values: 4 (0.00%)
Missing values: 0 (0.00%)
Value Counts:
0: 122877 (45.8%)
2: 86515 (32.2%)
1: 59004 (22.0%)
4: 169 (0.1%)
Minimum value: 0
Maximum value: 4
Median value: 1.0
Mode value(s): 0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N_NEUROTICISMO

Total number of unique values: 156 (0.06%)
Missing values: 238437 (88.78%)
Most frequent values:
85.0: 610 (0.2%)
78.0: 608 (0.2%)
75.0: 594 (0.2%)
93.0: 556 (0.2%)
87.0: 549 (0.2%)
Least frequent values:
12.0: 5 (0.0%)
98.5: 5 (0.0%)
146.0: 4 (0.0%)
74.5: 2 (0.0%)
65.5: 1 (0.0%)
Minimum value: 6.0
Maximum value: 179.0
Median value: 83.0
Mode value(s): 85.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N1_ANSIEDAD

Total number of unique values: 35 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
18.0: 2504 (0.9%)
16.0: 2489 (0.9%)
17.0: 2349 (0.9%)
15.0: 2347 (0.9%)
19.0: 2279 (0.8%)
Least frequent values:
3.0: 21 (0.0%)
0.0: 21 (0.0%)
1.0: 6 (0.0%)
17.5: 5 (0.0%)
16.5: 5 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 17.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N2_HOSTILIDAD

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
12.0: 2500 (0.9%)
14.0: 2478 (0.9%)
13.0: 2454 (0.9%)
11.0: 2372 (0.9%)
10.0: 2234 (0.8%)
Least frequent values:
32.0: 23 (0.0%)
31.0: 14 (0.0%)
29.0: 10 (0.0%)
23.5: 8 (0.0%)
30.0: 6 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 13.0
Mode value(s): 12.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N3_DEPRESIÓN

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
12.0: 2504 (0.9%)
13.0: 2391 (0.9%)
11.0: 2194 (0.8%)
14.0: 2190 (0.8%)
10.0: 2073 (0.8%)
Least frequent values:
30.0: 63 (0.0%)
29.0: 36 (0.0%)
31.0: 16 (0.0%)
32.0: 12 (0.0%)
17.5: 5 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 13.0
Mode value(s): 12.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N4_ANSIEDAD_SOCIAL

Total number of unique values: 35 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
13.0: 2754 (1.0%)
12.0: 2659 (1.0%)
14.0: 2508 (0.9%)
16.0: 2184 (0.8%)
15.0: 2184 (0.8%)
Least frequent values:
29.0: 15 (0.0%)
30.0: 5 (0.0%)
16.5: 5 (0.0%)
10.5: 2 (0.0%)
12.5: 1 (0.0%)
Minimum value: 0.0
Maximum value: 31.0
Median value: 13.0
Mode value(s): 13.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N5_IMPULSIVIDAD

Total number of unique values: 35 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
16.0: 2807 (1.0%)
15.0: 2763 (1.0%)
14.0: 2689 (1.0%)
17.0: 2521 (0.9%)
13.0: 2405 (0.9%)
Least frequent values:
19.5: 8 (0.0%)
0.0: 7 (0.0%)
31.0: 7 (0.0%)
32.0: 5 (0.0%)
8.5: 2 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 15.0
Mode value(s): 16.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

N6_VULNERABILIDAD

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
10.0: 2866 (1.1%)
9.0: 2631 (1.0%)
11.0: 2504 (0.9%)
12.0: 2406 (0.9%)
8.0: 2276 (0.8%)
Least frequent values:
32.0: 13 (0.0%)
30.0: 8 (0.0%)
8.5: 8 (0.0%)
12.5: 5 (0.0%)
9.5: 2 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 11.0
Mode value(s): 10.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E_EXTROVERSIÓN

Total number of unique values: 126 (0.05%)
Missing values: 238437 (88.78%)
Most frequent values:
120.0: 809 (0.3%)
117.0: 775 (0.3%)
124.0: 771 (0.3%)
127.0: 734 (0.3%)
121.0: 733 (0.3%)
Least frequent values:
44.0: 4 (0.0%)
170.0: 4 (0.0%)
61.0: 4 (0.0%)
152.5: 2 (0.0%)
54.0: 1 (0.0%)
Minimum value: 33.0
Maximum value: 184.0
Median value: 121.0
Mode value(s): 120.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E1_CORDIALIDAD

Total number of unique values: 33 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
23.0: 2842 (1.1%)
22.0: 2829 (1.1%)
24.0: 2745 (1.0%)
21.0: 2496 (0.9%)
25.0: 2426 (0.9%)
Least frequent values:
19.5: 8 (0.0%)
2.0: 4 (0.0%)
28.5: 2 (0.0%)
20.5: 1 (0.0%)
5.0: 1 (0.0%)
Minimum value: 2.0
Maximum value: 32.0
Median value: 22.0
Mode value(s): 23.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E2_GREGARISMO

Total number of unique values: 35 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
20.0: 2687 (1.0%)
18.0: 2673 (1.0%)
19.0: 2664 (1.0%)
22.0: 2510 (0.9%)
21.0: 2502 (0.9%)
Least frequent values:
2.0: 19 (0.0%)
5.5: 8 (0.0%)
1.0: 6 (0.0%)
15.5: 5 (0.0%)
13.5: 1 (0.0%)
Minimum value: 1.0
Maximum value: 32.0
Median value: 19.0
Mode value(s): 20.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E3_ASERTIVIDAD

Total number of unique values: 32 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
20.0: 2951 (1.1%)
21.0: 2792 (1.0%)
19.0: 2790 (1.0%)
18.0: 2539 (0.9%)
22.0: 2403 (0.9%)
Least frequent values:
6.0: 14 (0.0%)
2.0: 14 (0.0%)
4.0: 12 (0.0%)
25.5: 2 (0.0%)
3.0: 1 (0.0%)
Minimum value: 2.0
Maximum value: 32.0
Median value: 19.0
Mode value(s): 20.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E4_ACTIVIDAD

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
17.0: 3533 (1.3%)
16.0: 3424 (1.3%)
18.0: 3382 (1.3%)
19.0: 2895 (1.1%)
15.0: 2720 (1.0%)
Least frequent values:
3.0: 6 (0.0%)
18.5: 5 (0.0%)
14.5: 5 (0.0%)
21.5: 2 (0.0%)
20.5: 1 (0.0%)
Minimum value: 3.0
Maximum value: 32.0
Median value: 17.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E5_BÚSQUEDA_DE_EMOCIONES

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
21.0: 3005 (1.1%)
20.0: 2919 (1.1%)
22.0: 2753 (1.0%)
19.0: 2640 (1.0%)
23.0: 2610 (1.0%)
Least frequent values:
0.0: 6 (0.0%)
17.5: 5 (0.0%)
4.0: 5 (0.0%)
5.0: 4 (0.0%)
15.5: 1 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 20.0
Mode value(s): 21.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

E6_EMOCIONES_POSITIVAS

Total number of unique values: 32 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
23.0: 2918 (1.1%)
22.0: 2743 (1.0%)
24.0: 2611 (1.0%)
25.0: 2443 (0.9%)
21.0: 2303 (0.9%)
Least frequent values:
6.0: 25 (0.0%)
5.0: 18 (0.0%)
19.5: 5 (0.0%)
16.5: 5 (0.0%)
2.0: 5 (0.0%)
Minimum value: 2.0
Maximum value: 32.0
Median value: 22.0
Mode value(s): 23.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O_APERTURA

Total number of unique values: 105 (0.04%)
Missing values: 238437 (88.78%)
Most frequent values:
108.0: 894 (0.3%)
109.0: 892 (0.3%)
112.0: 844 (0.3%)
115.0: 837 (0.3%)
114.0: 833 (0.3%)
Least frequent values:
109.5: 5 (0.0%)
161.0: 5 (0.0%)
63.0: 4 (0.0%)
166.0: 4 (0.0%)
122.5: 2 (0.0%)
Minimum value: 60.0
Maximum value: 173.0
Median value: 115.0
Mode value(s): 108.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O1_FANTASÍA

Total number of unique values: 33 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
18.0: 2896 (1.1%)
16.0: 2843 (1.1%)
19.0: 2713 (1.0%)
17.0: 2647 (1.0%)
20.0: 2607 (1.0%)
Least frequent values:
1.0: 7 (0.0%)
4.0: 6 (0.0%)
13.5: 5 (0.0%)
15.5: 2 (0.0%)
16.5: 1 (0.0%)
Minimum value: 1.0
Maximum value: 32.0
Median value: 18.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O2_ESTÉTICA

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
18.0: 2350 (0.9%)
20.0: 2280 (0.8%)
21.0: 2274 (0.8%)
19.0: 2089 (0.8%)
22.0: 2004 (0.7%)
Least frequent values:
2.0: 18 (0.0%)
4.0: 14 (0.0%)
1.0: 8 (0.0%)
17.5: 5 (0.0%)
19.5: 1 (0.0%)
Minimum value: 1.0
Maximum value: 32.0
Median value: 19.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O3_SENTIMIENTOS

Total number of unique values: 33 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
19.0: 3341 (1.2%)
20.0: 3089 (1.2%)
21.0: 2799 (1.0%)
22.0: 2706 (1.0%)
18.0: 2686 (1.0%)
Least frequent values:
6.0: 13 (0.0%)
4.0: 8 (0.0%)
9.5: 8 (0.0%)
16.5: 6 (0.0%)
2.0: 5 (0.0%)
Minimum value: 1.0
Maximum value: 32.0
Median value: 20.0
Mode value(s): 19.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O4_ACCIONES

Total number of unique values: 30 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
16.0: 4002 (1.5%)
17.0: 3981 (1.5%)
18.0: 3507 (1.3%)
15.0: 2988 (1.1%)
19.0: 2877 (1.1%)
Least frequent values:
16.5: 8 (0.0%)
29.0: 7 (0.0%)
17.5: 5 (0.0%)
12.5: 5 (0.0%)
15.5: 2 (0.0%)
Minimum value: 4.0
Maximum value: 29.0
Median value: 17.0
Mode value(s): 16.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O5_IDEAS

Total number of unique values: 33 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
22.0: 2423 (0.9%)
24.0: 2415 (0.9%)
23.0: 2379 (0.9%)
21.0: 2293 (0.9%)
20.0: 2231 (0.8%)
Least frequent values:
22.5: 8 (0.0%)
4.0: 7 (0.0%)
19.5: 5 (0.0%)
16.5: 5 (0.0%)
2.0: 5 (0.0%)
Minimum value: 2.0
Maximum value: 32.0
Median value: 22.0
Mode value(s): 22.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

O6_VALORES

Total number of unique values: 33 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
19.0: 3687 (1.4%)
20.0: 3626 (1.4%)
21.0: 3276 (1.2%)
18.0: 3270 (1.2%)
17.0: 2871 (1.1%)
Least frequent values:
26.5: 8 (0.0%)
22.5: 7 (0.0%)
3.0: 7 (0.0%)
18.5: 5 (0.0%)
17.5: 1 (0.0%)
Minimum value: 3.0
Maximum value: 32.0
Median value: 20.0
Mode value(s): 19.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A_AMABILIDAD

Total number of unique values: 114 (0.04%)
Missing values: 238437 (88.78%)
Most frequent values:
115.0: 977 (0.4%)
112.0: 877 (0.3%)
119.0: 872 (0.3%)
111.0: 862 (0.3%)
118.0: 825 (0.3%)
Least frequent values:
67.0: 5 (0.0%)
101.5: 5 (0.0%)
155.0: 5 (0.0%)
159.0: 5 (0.0%)
60.0: 4 (0.0%)
Minimum value: 25.0
Maximum value: 163.0
Median value: 114.0
Mode value(s): 115.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A1_CONFIANZA

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
18.0: 3081 (1.1%)
19.0: 2831 (1.1%)
17.0: 2750 (1.0%)
16.0: 2618 (1.0%)
20.0: 2578 (1.0%)
Least frequent values:
0.0: 17 (0.0%)
2.0: 13 (0.0%)
3.0: 12 (0.0%)
1.0: 4 (0.0%)
18.5: 1 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 18.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A2_FRANQUEZA

Total number of unique values: 34 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
19.0: 2906 (1.1%)
20.0: 2784 (1.0%)
18.0: 2617 (1.0%)
21.0: 2495 (0.9%)
17.0: 2330 (0.9%)
Least frequent values:
3.0: 11 (0.0%)
7.5: 8 (0.0%)
1.0: 7 (0.0%)
23.5: 5 (0.0%)
13.5: 1 (0.0%)
Minimum value: 1.0
Maximum value: 32.0
Median value: 19.0
Mode value(s): 19.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A3_ALTRUISMO

Total number of unique values: 28 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
24.0: 3542 (1.3%)
23.0: 3279 (1.2%)
22.0: 2967 (1.1%)
25.0: 2827 (1.1%)
26.0: 2616 (1.0%)
Least frequent values:
9.0: 25 (0.0%)
5.0: 9 (0.0%)
6.0: 7 (0.0%)
17.5: 5 (0.0%)
8.0: 4 (0.0%)
Minimum value: 5.0
Maximum value: 32.0
Median value: 23.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A4_ACTITUD_CONCILIADORA

Total number of unique values: 32 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
17.0: 3538 (1.3%)
16.0: 3259 (1.2%)
18.0: 3051 (1.1%)
15.0: 2943 (1.1%)
19.0: 2867 (1.1%)
Least frequent values:
19.5: 5 (0.0%)
17.5: 5 (0.0%)
4.0: 4 (0.0%)
21.5: 2 (0.0%)
18.5: 1 (0.0%)
Minimum value: 1.0
Maximum value: 29.0
Median value: 17.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A5_MODESTIA

Total number of unique values: 36 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
17.0: 3011 (1.1%)
16.0: 2912 (1.1%)
18.0: 2724 (1.0%)
15.0: 2378 (0.9%)
19.0: 2269 (0.8%)
Least frequent values:
32.0: 16 (0.0%)
0.0: 9 (0.0%)
19.5: 5 (0.0%)
18.5: 5 (0.0%)
20.5: 2 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 17.0
Mode value(s): 17.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

A6_SENSIBILIDAD_A_LOS_DEMÁS

Total number of unique values: 29 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
20.0: 4279 (1.6%)
21.0: 4105 (1.5%)
19.0: 3594 (1.3%)
22.0: 3523 (1.3%)
23.0: 2689 (1.0%)
Least frequent values:
21.5: 8 (0.0%)
6.0: 8 (0.0%)
5.0: 7 (0.0%)
31.0: 5 (0.0%)
20.5: 1 (0.0%)
Minimum value: 5.0
Maximum value: 31.0
Median value: 20.0
Mode value(s): 20.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C_RESONSABILIDAD

Total number of unique values: 120 (0.04%)
Missing values: 238437 (88.78%)
Most frequent values:
132.0: 825 (0.3%)
131.0: 788 (0.3%)
133.0: 755 (0.3%)
127.0: 708 (0.3%)
134.0: 699 (0.3%)
Least frequent values:
77.0: 5 (0.0%)
97.5: 5 (0.0%)
74.0: 5 (0.0%)
182.0: 4 (0.0%)
80.0: 1 (0.0%)
Minimum value: 55.0
Maximum value: 184.0
Median value: 130.0
Mode value(s): 132.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C1_COMPETENCIA

Total number of unique values: 27 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
22.0: 3657 (1.4%)
23.0: 3627 (1.4%)
24.0: 3446 (1.3%)
25.0: 2888 (1.1%)
21.0: 2721 (1.0%)
Least frequent values:
8.0: 13 (0.0%)
10.0: 10 (0.0%)
9.0: 8 (0.0%)
7.0: 7 (0.0%)
25.5: 5 (0.0%)
Minimum value: 7.0
Maximum value: 32.0
Median value: 23.0
Mode value(s): 22.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C2_ORDEN

Total number of unique values: 31 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
18.0: 3479 (1.3%)
19.0: 3246 (1.2%)
17.0: 3231 (1.2%)
20.0: 3121 (1.2%)
21.0: 2432 (0.9%)
Least frequent values:
23.5: 10 (0.0%)
31.0: 7 (0.0%)
32.0: 6 (0.0%)
4.0: 6 (0.0%)
16.5: 5 (0.0%)
Minimum value: 4.0
Maximum value: 32.0
Median value: 18.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C3_SENTIDO_DEL_DEBER

Total number of unique values: 28 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
24.0: 3536 (1.3%)
25.0: 3348 (1.2%)
23.0: 3211 (1.2%)
26.0: 3147 (1.2%)
27.0: 2437 (0.9%)
Least frequent values:
8.0: 7 (0.0%)
10.0: 6 (0.0%)
23.5: 5 (0.0%)
9.0: 5 (0.0%)
26.5: 2 (0.0%)
Minimum value: 7.0
Maximum value: 32.0
Median value: 24.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C4_NECESIDAD_DE_LOGRO

Total number of unique values: 29 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
23.0: 3334 (1.2%)
22.0: 3120 (1.2%)
25.0: 2719 (1.0%)
24.0: 2650 (1.0%)
21.0: 2578 (1.0%)
Least frequent values:
8.0: 23 (0.0%)
6.0: 18 (0.0%)
7.0: 7 (0.0%)
27.5: 1 (0.0%)
3.0: 1 (0.0%)
Minimum value: 3.0
Maximum value: 32.0
Median value: 23.0
Mode value(s): 23.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C5_AUTODISCIPLINA

Total number of unique values: 32 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
22.0: 2658 (1.0%)
20.0: 2544 (0.9%)
24.0: 2523 (0.9%)
23.0: 2479 (0.9%)
21.0: 2457 (0.9%)
Least frequent values:
6.0: 35 (0.0%)
3.0: 13 (0.0%)
21.5: 5 (0.0%)
25.5: 2 (0.0%)
24.5: 1 (0.0%)
Minimum value: 3.0
Maximum value: 32.0
Median value: 21.0
Mode value(s): 22.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

C6_DELIBERACIÓN

Total number of unique values: 32 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
21.0: 2897 (1.1%)
20.0: 2822 (1.1%)
22.0: 2687 (1.0%)
19.0: 2572 (1.0%)
17.0: 2334 (0.9%)
Least frequent values:
6.0: 20 (0.0%)
15.5: 8 (0.0%)
24.5: 7 (0.0%)
0.0: 5 (0.0%)
3.0: 5 (0.0%)
Minimum value: 0.0
Maximum value: 32.0
Median value: 20.0
Mode value(s): 21.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

ENSAYO

Total number of unique values: 25 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
22.0: 2045 (0.8%)
20.0: 1981 (0.7%)
21.0: 1977 (0.7%)
23.0: 1950 (0.7%)
24.0: 1897 (0.7%)
Least frequent values:
9.0: 38 (0.0%)
4.0: 21 (0.0%)
7.0: 20 (0.0%)
8.0: 18 (0.0%)
5.0: 5 (0.0%)
Minimum value: 4.0
Maximum value: 28.0
Median value: 21.0
Mode value(s): 22.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

Estrategias de aprendizaje: ELABORACIÓN

Total number of unique values: 31 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
36.0: 1911 (0.7%)
35.0: 1853 (0.7%)
33.0: 1597 (0.6%)
34.0: 1570 (0.6%)
31.0: 1457 (0.5%)
Least frequent values:
16.0: 7 (0.0%)
11.0: 6 (0.0%)
9.0: 5 (0.0%)
15.0: 5 (0.0%)
28.5: 5 (0.0%)
Minimum value: 9.0
Maximum value: 42.0
Median value: 34.0
Mode value(s): 36.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

Estrategias de aprendizaje: ORGANIZACIÓN

Total number of unique values: 24 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
24.0: 2090 (0.8%)
23.0: 2050 (0.8%)
28.0: 1876 (0.7%)
21.0: 1781 (0.7%)
25.0: 1761 (0.7%)
Least frequent values:
9.0: 39 (0.0%)
7.0: 25 (0.0%)
6.0: 23 (0.0%)
8.0: 19 (0.0%)
4.0: 13 (0.0%)
Minimum value: 4.0
Maximum value: 28.0
Median value: 23.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PENSAMIENTO_CRÍTICO

Total number of unique values: 30 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
26.0: 1990 (0.7%)
25.0: 1755 (0.7%)
28.0: 1683 (0.6%)
27.0: 1631 (0.6%)
29.0: 1576 (0.6%)
Least frequent values:
10.0: 14 (0.0%)
11.0: 12 (0.0%)
5.0: 9 (0.0%)
26.5: 5 (0.0%)
8.0: 1 (0.0%)
Minimum value: 5.0
Maximum value: 35.0
Median value: 26.0
Mode value(s): 26.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

AUTO_REGULACIÓN_METACOGNITIVA

Total number of unique values: 52 (0.02%)
Missing values: 248223 (92.43%)
Most frequent values:
63.0: 1090 (0.4%)
65.0: 1020 (0.4%)
66.0: 1011 (0.4%)
69.0: 921 (0.3%)
61.0: 894 (0.3%)
Least frequent values:
37.0: 13 (0.0%)
27.0: 8 (0.0%)
34.0: 7 (0.0%)
32.0: 6 (0.0%)
33.0: 5 (0.0%)
Minimum value: 27.0
Maximum value: 84.0
Median value: 65.0
Mode value(s): 63.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

TIEMPO_Y_AMBIENTE_DE_ESTUDIO

Total number of unique values: 40 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
44.0: 1309 (0.5%)
45.0: 1205 (0.4%)
43.0: 1184 (0.4%)
46.0: 1140 (0.4%)
39.0: 1102 (0.4%)
Least frequent values:
21.0: 10 (0.0%)
16.0: 8 (0.0%)
18.0: 6 (0.0%)
15.0: 5 (0.0%)
39.5: 5 (0.0%)
Minimum value: 15.0
Maximum value: 56.0
Median value: 44.0
Mode value(s): 44.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

REGULACIÓN_DEL_ESFUERZO

Total number of unique values: 18 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
18.0: 3000 (1.1%)
17.0: 2729 (1.0%)
19.0: 2574 (1.0%)
16.0: 2310 (0.9%)
20.0: 2069 (0.8%)
Least frequent values:
7.0: 49 (0.0%)
8.0: 36 (0.0%)
5.0: 13 (0.0%)
3.0: 5 (0.0%)
17.5: 5 (0.0%)
Minimum value: 3.0
Maximum value: 21.0
Median value: 17.0
Mode value(s): 18.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

APRENDIZAJE_ENTRE_IGUALES

Total number of unique values: 20 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
15.0: 2503 (0.9%)
14.0: 2290 (0.9%)
16.0: 2114 (0.8%)
12.0: 2053 (0.8%)
13.0: 1988 (0.7%)
Least frequent values:
6.0: 243 (0.1%)
5.0: 106 (0.0%)
3.0: 85 (0.0%)
4.0: 60 (0.0%)
10.5: 5 (0.0%)
Minimum value: 3.0
Maximum value: 21.0
Median value: 14.0
Mode value(s): 15.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

BÚSQUEDA_DE_AYUDA

Total number of unique values: 22 (0.01%)
Missing values: 248223 (92.43%)
Most frequent values:
22.0: 2700 (1.0%)
21.0: 2663 (1.0%)
20.0: 2661 (1.0%)
23.0: 2155 (0.8%)
19.0: 2013 (0.7%)
Least frequent values:
11.0: 72 (0.0%)
6.0: 13 (0.0%)
8.0: 7 (0.0%)
9.0: 5 (0.0%)
10.0: 5 (0.0%)
Minimum value: 6.0
Maximum value: 28.0
Median value: 21.0
Mode value(s): 22.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

FAMILIA

Total number of unique values: 21 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
24.0: 5109 (1.9%)
20.0: 3007 (1.1%)
22.0: 2751 (1.0%)
19.0: 2703 (1.0%)
23.0: 2662 (1.0%)
Least frequent values:
7.0: 113 (0.0%)
8.0: 93 (0.0%)
5.0: 57 (0.0%)
4.0: 48 (0.0%)
6.0: 40 (0.0%)
Minimum value: 4.0
Maximum value: 24.0
Median value: 20.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

AMIGOS

Total number of unique values: 21 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
24.0: 5768 (2.1%)
16.0: 4232 (1.6%)
20.0: 3622 (1.3%)
19.0: 2305 (0.9%)
21.0: 2284 (0.9%)
Least frequent values:
8.0: 119 (0.0%)
10.0: 91 (0.0%)
7.0: 89 (0.0%)
6.0: 48 (0.0%)
5.0: 20 (0.0%)
Minimum value: 4.0
Maximum value: 24.0
Median value: 20.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PERSONAS_RELEVANTES

Total number of unique values: 21 (0.01%)
Missing values: 238437 (88.78%)
Most frequent values:
24.0: 5790 (2.2%)
20.0: 2872 (1.1%)
22.0: 2812 (1.0%)
23.0: 2659 (1.0%)
21.0: 2607 (1.0%)
Least frequent values:
8.0: 112 (0.0%)
7.0: 86 (0.0%)
6.0: 84 (0.0%)
5.0: 45 (0.0%)
4.0: 44 (0.0%)
Minimum value: 4.0
Maximum value: 24.0
Median value: 20.0
Mode value(s): 24.0
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD1

Total number of unique values: 2 (0.00%)
Missing values: 243561 (90.69%)
Value Counts:
Sí: 21651 (8.1%)
No: 3353 (1.2%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD2

Total number of unique values: 2 (0.00%)
Missing values: 243561 (90.69%)
Value Counts:
Sí: 19700 (7.3%)
No: 5304 (2.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD3

Total number of unique values: 6 (0.00%)
Missing values: 243561 (90.69%)
Value Counts:
Algunas veces: 10854 (4.0%)
Regularmente: 5484 (2.0%)
Casi nunca: 5328 (2.0%)
Nunca: 2073 (0.8%)
Casi siempre: 1241 (0.5%)
Siempre: 24 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD4

Total number of unique values: 6 (0.00%)
Missing values: 243561 (90.69%)
Value Counts:
Nunca: 20813 (7.7%)
Casi nunca: 1824 (0.7%)
Casi siempre: 1406 (0.5%)
Algunas veces: 663 (0.2%)
Siempre: 153 (0.1%)
Regularmente: 145 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD5

Total number of unique values: 4 (0.00%)
Missing values: 243561 (90.69%)
Value Counts:
Entre 6 y 7 horas: 10874 (4.0%)
Entre 7 y 8 horas: 10699 (4.0%)
Más de 8 horas: 1776 (0.7%)
Menos de 6 horas: 1655 (0.6%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD6

Total number of unique values: 4 (0.00%)
Missing values: 238460 (88.79%)
Value Counts:
De 1 a 2 veces: 9938 (3.7%)
De 3 a 4 veces: 8869 (3.3%)
De 5 a 7 veces: 6473 (2.4%)
Nunca: 4825 (1.8%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD7

Total number of unique values: 2 (0.00%)
Missing values: 238460 (88.79%)
Value Counts:
No: 26753 (10.0%)
Sí: 3352 (1.2%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD8

Total number of unique values: 2 (0.00%)
Missing values: 238460 (88.79%)
Value Counts:
No: 15442 (5.7%)
Sí: 14663 (5.5%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD9

Total number of unique values: 2 (0.00%)
Missing values: 238460 (88.79%)
Value Counts:
No: 28587 (10.6%)
Sí: 1518 (0.6%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

HABITO_SALUD10

Total number of unique values: 2 (0.00%)
Missing values: 238460 (88.79%)
Value Counts:
No: 29908 (11.1%)
Sí: 197 (0.1%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

CICLO

Total number of unique values: 15 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
2021-1: 29890 (11.1%)
2022-1: 28272 (10.5%)
2021-2: 26551 (9.9%)
2022-2: 25538 (9.5%)
2018-1: 25451 (9.5%)
Least frequent values:
2021-0: 4842 (1.8%)
2022-0: 4339 (1.6%)
2018-0: 2828 (1.1%)
2019-0: 2409 (0.9%)
2020-0: 2069 (0.8%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

CICLO_INGRESO_CARRERA

Total number of unique values: 37 (0.01%)
Missing values: 217 (0.08%)
Most frequent values:
2018-1: 40577 (15.1%)
2017-1: 37766 (14.1%)
2021-1: 28077 (10.5%)
2019-1: 27903 (10.4%)
2016-1: 27234 (10.1%)
Least frequent values:
2009-2: 4 (0.0%)
2007-1: 4 (0.0%)
2005-1: 2 (0.0%)
1999-1: 1 (0.0%)
2007-2: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

PRIMER_CICLO

Total number of unique values: 35 (0.01%)
Missing values: 0 (0.00%)
Most frequent values:
2018-1: 39834 (14.8%)
2017-1: 35623 (13.3%)
2021-1: 28801 (10.7%)
2019-1: 28455 (10.6%)
2020-1: 27152 (10.1%)
Least frequent values:
1998-1: 8 (0.0%)
2007-1: 4 (0.0%)
2005-1: 2 (0.0%)
2008-1: 1 (0.0%)
1999-1: 1 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

BECA1

Total number of unique values: 33 (0.01%)
Missing values: 243525 (90.68%)
Most frequent values:
Beca 18: 10070 (3.7%)
Beca Excelencia - Hijos de Docentes: 2960 (1.1%)
Beca Patronato BCP: 2269 (0.8%)
Beca Patronato UP: 1631 (0.6%)
Subsidio tipo 1: 1383 (0.5%)
Least frequent values:
Beca CAFED: 14 (0.0%)
Beca Luis Felipe Gayoso: 13 (0.0%)
Beca Grupo Educativo Alegrevo: 5 (0.0%)
Beca para Trabajadores UP : 5 (0.0%)
Beca 25% Hijo de Trabajador: 4 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n", "
\n", "
\n", "

BECA2

Total number of unique values: 7 (0.00%)
Missing values: 268479 (99.97%)
Value Counts:
Subsidio tipo 1: 38 (0.0%)
Beca Patronato UP: 28 (0.0%)
Beca 18: 7 (0.0%)
Crédito 18: 4 (0.0%)
Subsidio tipo 1 - Orfandad: 4 (0.0%)
Subsidio tipo 2 - Orfandad: 3 (0.0%)
Beca CAFED: 2 (0.0%)
\n", "
\n", "
\n", "


" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for col in df.columns:\n", " col_analysis(df,col)" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "from ydata_profiling import ProfileReport\n", "import numpy as np\n", "import pandas as pd\n", "\n", "profile = ProfileReport(df, title=\"Profiling Report\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 2 }