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  3. Scalable Data Processing in R

Exercise

Combine

You now know the female proportion borrowing for urban and rural areas for all years. However, the result resides in a list. Converting this list to a matrix or data frame may sometimes be convenient in case you want to calculate any summary statistics or visualize the results. In this exercise, you will combine the results into a matrix.

Instructions

100 XP

all_years from the previous exercise is available in your workspace.

  • Call Reduce() on all_years to combine the results from the previous exercise. The function to apply here is rbind (short for row bind).
  • Use the dimnames() function to add row and column names to this matrix, prop_female.
    • The rownames are the names() of the list all_years.