ggvis Exercises (Part-2)

August 18, 2017
By

(This article was first published on R-exercises, and kindly contributed to R-bloggers)

INTRODUCTION

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().

Learn more about using ggvis in the online course R: Complete Data Visualization Solutions. In this course you will learn how to:

  • Work extensively with the ggvis package and its functionality
  • Learn what visualizations exist for your specific use case
  • And much more

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().

To leave a comment for the author, please follow the link and comment on their blog: R-exercises.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)