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The Simplest Scatter Plot | Scatter Plots
Visualization in Python with matplotlib
course content

Зміст курсу

Visualization in Python with matplotlib

Visualization in Python with matplotlib

1. Basics: Line Charts
2. Bar Charts
3. Scatter Plots

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The Simplest Scatter Plot

Welcome to the third section of the course! Let's consider one more plot type widely used in analytics - scatter plots. This type of plot is quite easy to understand - it's just a collection of points with specific coordinates. Often this type of plot is used in experiments or discovering if there is relation between factors.

To build a scatter plot we need to do the same as for a simple line plot. But this time we use .scatter() applied to Axes object (instead of .plot() in the previous section). The first parameter of this function will be the x-axis, and the second - y-axis. Throughout this section, you will use the 'gapminder' dataset (as of 2017), which contains different economical, demographical, social indicators. Before we start, let's explore the data you will work with.

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# Import the libraries import pandas as pd import matplotlib.pyplot as plt # 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) # Describing the data print(data.columns) print(data.info())
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For instance, let's visualize on scatter plot the gdp per capita and share of population with access to the Internet.

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# Import the libraries import pandas as pd import matplotlib.pyplot as plt # 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']) # Display the plot plt.show()
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For instance, if you run the code above, you will see that there is a relation between economical wellness and internet availability for people.

Disclaimer: FREE DATA FROM WORLD BANK VIA GAPMINDER.ORG, CC-BY LICENSE.

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