Relative change in demographic trend

In the last exercise, you looked at the changes in borrowing across demographics over time. In this exercise, you'll look at the relative change in demographic trend. To do this, you'll normalize each group's trend by borrowing in the first year, 2008.

Questo esercizio fa parte del corso

Scalable Data Processing in R

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Istruzioni dell'esercizio

Get the first column of rydf as column1.
Loop over columns 1:8, normalizing them by dividing each column by the first column.
Plot Year on the x-axis and Proportion the y-axis, colored and grouped by the Race variable.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

# View rydf
rydf

# Get the first column of rydf
column1 <- rydf[, 1]

# Normalize the first 8 columns
for(this_column in 1:8) {
  rydf[, this_column] <- rydf[, ___] / ___
}

# Convert the data to long format
rydf_long <- pivot_longer(rydf, -Race, names_to = "Year", values_to = "Proportion")

# Plot
ggplot(rydf_long, aes(x = ___, y = ___, group = Race, color = Race)) + 
    geom_line()

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