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.
Questo esercizio fa parte del corso
Scalable Data Processing in R
Istruzioni dell'esercizio
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.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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])