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  3. Introduction to Data Visualization with Plotly in Python

Exercise

Enhancing our GDP plot

The United Nations loved your previous plot - the legend really stands out and makes it easier to view the plot.

However, there are some interesting data points that are not easy to further analyze due to the limited information in the plot.

Your task is to enhance the plot of life_gdp created in the last exercise to include more information in the hover and style it as requested.

Some of the code will be familiar from earlier in the chapter.

Instructions

100 XP
  • Create a scatterplot using the life_gdp DataFrame, setting the x-axis to be Life expectancy, the y-axis to be GDP Per Capita and colors based on Continent.
  • Add the columns Continent, Life expectancy, and GDP Per Capita to appear in the hover information.
  • Set the Country variable to be bold at the top of the hover information.