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Create a Scatter Plot by Using Python in JupyterLab

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Part of Jupyter Data Visualization Topic: Data Science

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What you'll do

In this lab, you will analyze and visualize data distributions by using Python in the JupyterLab development environment.

  1. Load the Python NumPy, Matplotlib, and pandas; libraries
  2. Load data stored in a comma-separated values (CSV) file into a pandas DataFrame
  3. Review the data in the DataFrame
  4. Create a scatter plot to visualize the relationship between the variables
  5. Configure custom colors and a horizontal trendline
  6. Add axis labels and a title to a scatter plot

Note: Once you begin the lab, you will not be able to pause, save, or exit and then return to your lab. Please ensure that you have set aside enough time to complete the lab before you start.

  • ⏱ About 30 minutes