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Create a Histogram 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 CSV file into a pandas DataFrame
  3. Review the data in the DataFrame
  4. Create and compare a bar chart and a histogram
  5. Customize the colors in a histogram
  6. Add labels, a legend, and a trend line
  • ⏱ About 30 minutes