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.