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.
Diese Übung ist Teil des Kurses
Scalable Data Processing in R
Anleitung zur Übung
- Get the first column of
rydfascolumn1. - Loop over columns
1:8, normalizing them by dividing each column by the first column. - Plot
Yearon the x-axis andProportionthe y-axis, colored and grouped by theRacevariable.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# 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()