12345678910111213141516171819202122
            
# Import the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd

# Reading the data
data = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/ed80401e-2684-4bc4-a077-99d13a386ac7/gapminder2017.csv', index_col = 0)

# Create Figure and Axes objects
fig, ax = plt.subplots()

# Initialize a scatter plot
ax.scatter(data['gdp per capita'], data['internet users'], 
          s = data['population']/1000000, c = 'red')      

# Set some parameters
ax.set(ylim = (0, 50), xlim = (0, 20000), yticks = (0, 10, 20, 30, 40, 50), 
      title = 'Example Plot', xlabel = 'GDP per capita', 
      ylabel = '% of people with Internet access')

# Display the plot
plt.show()