Database for the modeling of job satisfaction of basic education teachers in Peru (ENDO-2018)

This data set is the result of the research entitled: Modeling job satisfaction of basic education teachers through machine learning techniques. It was obtained from the characteristic selection process using the filter methods: Chi-Square categorical variables and ANOVA F-Test for numerical variables, this filtering was carried out in order to obtain the most important variables in the prediction of job satisfaction. of basic education teachers in Peru. The raw database was obtained from the National Survey of Teachers (url: http://escale.minedu.gob.pe/documents/10156/c962628e-2123-4070-af11-50f4772ef7a2) developed by the Ministry of Education of Peru. during the year 2018. This filtered database can be used to predict the job satisfaction of basic education teachers.
Description of the columns.
Columns P401_12_No and P401_12_Yes, represent whether the teacher suffered depression problems, P501_A (total gross income for the previous month (scaled value)), P509 (Perception of living conditions), P818_1 (Satisfaction with his life), P818_6 (Satisfaction with their self-esteem), P818_8 (Satisfaction with their family relationships), P819_1 (Satisfaction with their pedagogical activity), P819_4 (Satisfaction with the relationship with their colleagues), P819_5 (Satisfaction with the relationship with the Director), P819_8 ( Satisfaction with their salary), JobSatisfaction (Teacher job satisfaction)