Race and Ethnic Representation in the Mortgage Data
In this exercise, you'll get the race and ethnic proportions of borrowers in the mortgage data set, adjusted by the total number of borrowers. This will turn the race and ethnicity table you created before into a proportion. Later on, you'll use these values to adjust for the race and ethnic proportions of the US population.
Este ejercicio forma parte del curso
Scalable Data Processing in R
Instrucciones del ejercicio
The reference object mort is available in your workspace.
- Create a table from the
borrower_racecolumn in the mortgage data (mort) usingbigtable(). - Where the race is known (first 7 values) find the proportion by dividing by the sum of the counts.
Ejercicio interactivo práctico
Prueba este ejercicio y completa el código de muestra.
# Create a table of borrower_race column
race_table <- ___(mort, ___)
# Rename the elements
names(race_table) <- race_cat[as.numeric(names(race_table))]
# Find the proportion
race_table[___] / ___(race_table[1:7])