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Polishing your graphics

The below code chunk produces an interactive plot of national happiness against an index for social support, where plotting symbols represent the income classification of the country. 

happy %>%
  plot_ly(x = ~social.support, y = ~happiness,
  hoverinfo = "text",
  text = ~paste("Country: ", country)) %>%
  add_markers(symbol = ~income, symbols = c("circle-open", "square-open", "star-open", "x-thin-open"))

Your task is to edit the hover information and axis labels so that your reader can more-easily digest the information.

plotly and the happy data set have been loaded for you.

This exercise is part of the course

Intermediate Interactive Data Visualization with plotly in R

View Course

Exercise instructions

  • Add hover information for the income group, happiness score, and the social.support index.
  • Use round(<variable>, 2) to round all numeric variables to two decimal places in the hover info.
  • Change the x-axis label to "Social support index" and the y-axis label to "National happiness score".

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Complete the following code to polish the plot
happy %>%
  plot_ly(x = ~social.support, y = ~happiness,
  hoverinfo = "text",
  text = ~paste("Country: ", country,
  "
 Income: ", ___,
  "
 Happiness: ", ___,
  "
 Social support: ", ___)) %>%
  add_markers(symbol = ~income, 
              symbols = c("circle-open", "square-open", "star-open", "x-thin-open")) %>%
  layout(xaxis = ___,
         yaxis = ___)
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