11.26 Box Plot in Rattle

20240728

ds %>%
  dplyr::mutate(rain_tomorrow=as.factor(rain_tomorrow)) %>%
  ggplot2::ggplot(ggplot2::aes(y=min_temp)) +
  ggplot2::geom_boxplot(ggplot2::aes(x="All"), notch=TRUE, fill="grey") +
  ggplot2::stat_summary(ggplot2::aes(x="All"), fun=mean, geom="point", shape=8) +
  ggplot2::geom_boxplot(ggplot2::aes(x=rain_tomorrow, fill=rain_tomorrow), notch=TRUE) +
  ggplot2::stat_summary(ggplot2::aes(x=rain_tomorrow), fun=mean, geom="point", shape=8) +
  ggplot2::xlab(paste("rain_tomorrow\n\n", "RattleNG 2024-07-28 06:25:32 gjw", sep="")) +
  ggplot2::ggtitle("Distribution of min_temp by rain_tomorrow") +
  ggplot2::theme(legend.position="none") +
  theme_rattle()

In Rattle, if we have identified a Target (or a Group By) variable, then the box plot will show the distribution of the values of the variable partitioned by the values of the target/group variable. For the weather dataset we can, for example, plot the variable min_temp grouped by rain_tomorrow.

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