school_levels_df: Departments by Levels of Schools in Colombia

In ColombiAPI: Access Colombian Data via APIs and Curated Datasets

Departments by Levels of Schools in Colombia

Description

This dataset, school_levels_df, is a data frame containing a contingency table that classifies schools in Colombia by department and level of performance of their students. The dataset summarizes counts of schools across different performance categories in three main subjects: communication, mathematics, and science.

Usage

data(school_levels_df)

Format

A data frame with 29 observations and 12 variables:

Cinferior

Number of schools with communication results at the inferior level (numeric)

Cbajo

Number of schools with communication results at the low level (numeric)

Cmedio

Number of schools with communication results at the medium level (numeric)

Calto

Number of schools with communication results at the high level (numeric)

Minferior

Number of schools with mathematics results at the inferior level (numeric)

Mbajo

Number of schools with mathematics results at the low level (numeric)

Mmedio

Number of schools with mathematics results at the medium level (numeric)

Malto

Number of schools with mathematics results at the high level (numeric)

Tinferior

Number of schools with science results at the inferior level (numeric)

Tbajo

Number of schools with science results at the low level (numeric)

Tmedio

Number of schools with science results at the medium level (numeric)

Talto

Number of schools with science results at the high level (numeric)

Details

The dataset name has been kept as 'school_levels_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the ColombiAPI package and assists users in identifying its specific characteristics. The suffix 'df' indicates that the dataset is a data frame object. The original content has not been modified in any way.

Source

Data taken from the FactoClass package version 1.2.9

ColombiAPI documentation built on Nov. 5, 2025, 6:59 p.m.