1. Apprendre
    2. /
  2. Cours
    3. /
  3. Interactive Data Visualization with plotly in R
  • 1

    Introduction to plotly

    Gratuit

    In this chapter, you will receive an introduction to basic graphics with plotly. You will create your first interactive graphics, displaying both univariate and bivariate distributions. Additionally, you will discover how to easily convert ggplot2 graphics to interactive plotly graphics.

  • 2

    Styling and customizing your graphics

    In this chapter, you will learn how to customize the appearance of your graphics and use opacity, symbol, and color to clarify your message. You will also learn how to transform axes, label your axes, and customize the hover information of your graphs.

  • 3

    Advanced charts

    In this chapter, you move past basic plotly charts to explore more-complex relationships and larger datasets. You will learn how to layer traces, create faceted charts and scatterplot matrices, and create binned scatterplots.

  • 4

    Case Study

    In the final chapter, you use your plotly toolkit to explore the results of the 2018 United States midterm elections, learning how to create maps in plotly along the way.

Initializing

Exercice

Beyond color: Symbols

Using both color and shape to encode a categorical variable can be a useful strategy to reveal relationships more effectively. This double-encoding strategy uses two pre-attentive visual cues to more-quickly communicate information to the reader. This idea is implemented by default in plotly; if you map a variable to the symbol, plotly automatically maps the variable to the color.

To map a variable to the plotting shape, add a symbol argument to the plot_ly() command.

Caution: It is poor practice to use color and shape to communicate different variables, since the two features have been shown to interfere with each other, making it more difficult to distinguish either variable.

Instructions

100 XP
  • Use the vgsales2016 data frame to create a scatterplot with Critic_Score on the x-axis and User_Score on the y-axis where the plotting symbol represents a game's Rating.