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Exercise

Scatter Plot (1)

When you have a time scale along the horizontal axis, the line plot is your friend. But in many other cases, when you're trying to assess if there's a correlation between two variables, for example, the scatter plot is the better choice. Below is an example of how to build a scatter plot.

import matplotlib.pyplot as plt
plt.scatter(x,y)
plt.show()

Let's continue with the gdp_cap versus life_exp plot, the GDP and life expectancy data for different countries in 2007. Maybe a scatter plot will be a better alternative?

Again, the matplotlib.pyplot package is available as plt.

Instructions

100 XP
  • Change the line plot that's coded in the script to a scatter plot.
  • A correlation will become clear when you display the GDP per capita on a logarithmic scale. Add the line plt.xscale('log').
  • Finish off your script with plt.show() to display the plot.