11.5 Bar Chart Faceted Background


ds %>%
  sample_frac(0.1) %T>%
  {assign("norain", . %>% select(-rain_tomorrow), 1)} %>%
                              levels=(rain_tomorrow %>% unique() %>%
                                        sort() %>% rev()))) %>%
  ggplot(aes(x=wind_dir_3pm, fill=wind_dir_3pm)) +
  geom_bar(data=norain, fill="gray", alpha=0.5) +
  geom_bar() +
  facet_wrap(~ rain_tomorrow) +
  labs(x=vnames["wind_dir_3pm"], y="Count") +
  scale_y_continuous(labels=comma) +  

Using a faceted bar chart we can compare the individual charts with the global chart shown as a gray background.

Take a 10% sample. Remove the target column and save. Swap the order of No/Yes in the target column. Plot the wind direction. Add a grey layer with the non-target variable dataset. Add normal bar layer. Facet. Labels will have commas. Turn the legend off.

See https://drsimonj.svbtle.com/plotting-background-data-for-groups-with-ggplot2.

Your donation will support ongoing development and give you access to the PDF version of the book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984.
Copyright © 1995-2021 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0.