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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.

Deze oefening maakt deel uit van de cursus

Intermediate Interactive Data Visualization with plotly in R

Cursus bekijken

Oefeninstructies

  • 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".

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

# 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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