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Can You Visualize Relational and Temporal Data 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. Import the Python NumPy, Matplotlib, and pandas libraries
  2. Load data stored in a comma-separated values (CSV) file into a pandas DataFrame
  3. Create a scatter plot to visualize relational data
  4. Add custom colors, labels, a title, and a trend line to a scatter plot
  5. Display a subset of data in a pandas Series object
  6. Create a plot to visualize time series data

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 45 minutes