Self-reported conditions
At times, it is necessary to plot multiple elements in a single figure; on some occasions, these elements may overlap. In this exercise, you will utilize transparency to generate a visualization where overlapping elements can be easily observed within the same plot.
The StatsPlots package has already been loaded, giving you access to violin and boxplot, and you can access the conditions DataFrame.
Bu egzersiz
Introduction to Data Visualization with Julia
kursunun bir parçasıdırEgzersiz talimatları
- Set the theme to
:wong, with the default values offramestyleandalphaset to:gridand0.75, respectively, and hide the legends by default. - Generate a violin plot of the self-reported
Valueagainst theConditionwhile setting thelinewidthto0. - Include a box plot of the same variables in the figure, with
linewidth2andlinecolor:midnightblue.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Set theme
theme(
:____, framestyle=:____, label=____, alpha=____
)
# Create violin plot
violin(conditions.____,
conditions.____,
linewidth=____)
# Add box plot
boxplot!(conditions.____,
conditions.____,
linewidth=____,
linecolor=:____)
ylabel!("Self-reported Level")