Borrower Race and Ethnicity by Year (I)

As a second exercise in creating big tables, suppose you want to see the total count by year, rather than for all years at once. Then you would create a table for each ethnicity for each year.

This exercise is part of the course

Scalable Data Processing in R

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Exercise instructions

The character vector race_cat is available in your workspace.

Use the bigtable() function to create a table of the borrower race ("borrower_race") by year ("year").
Use the as.data.frame() function to convert the table into a data.frame and assign it to rydf.
Create a new column (Race) holding the race/ethnicity information using the race_cat variable.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a table of the borrower race by year
race_year_table <- ___(mort, c(___, ___))

# Convert rydf to a data frame
rydf <- ___(race_year_table)

# Create the new column Race
rydf$___ <- ___

# Let's see what it looks like
rydf

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