ggvis Exercises (Part-2)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists.
This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be connected to a running R session.
Before proceeding, please follow our short tutorial.
Look at the examples given and try to understand the logic behind them. Then try to solve the exercises below using R and without looking at the answers. Then check the solutions.
to check your answers.
Exercise 1
Create a list which will include the variables “Horsepower” and “MPG.city” of the “Cars93” data set and make a scatterplot. HINT: Use ggvis()
and layer_points()
.
Exercise 2
Add a slider to the scatterplot of Exercise 1 that sets the point size from 10 to 100. HINT: Use input_slider()
.
Exercise 3
Add a slider to the scatterplot of Exercise 1 that sets the point opacity
from 0 to 1. HINT: Use input_slider()
.
Exercise 4
Create a histogram of the variable “Horsepower” of the “Cars93” data set. HINT: Use layer_histograms()
.
Exercise 5
Set the width
and the center
of the histogram bins you just created to 10.
Exercise 6
Add 2 sliders to the histogram you just created, one for width
and the other for center
with values from 0 to 10 and set the step
to 1. HINT: Use input_slider()
.
Exercise 7
Add the labels “Width” and “Center” to the two sliders respectively. HINT: Use label
.
Exercise 8
Create a scatterplot of the variables “Horsepower” and “MPG.city” of the “Cars93” dataset with size
= 10 and opacity
= 0.5.
Exercise 9
Add to the scatterplot you just created a function which will set the size
with the left and right keyboard controls. HINT: Use left_right()
.
Exercise 10
Add interactivity to the scatterplot you just created using a function that shows the value of the “Horsepower” when you “mouseover” a certain point. HINT: Use add_tooltip()
.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.