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Data_Visualization_with_Python

Fifth workshop in a series of five Python workshops.

Building on topics of the "Introduction to Python 1 and 2", "Intermediate Python", and "Data Analysis with Python" workshops. Basic knowledge of Python or attendance these workshops is strongly recommended.

Data Visualization with Python

  • Hands-on on creating visuals on a data file with Matplotlib, Pandas and Seaborn

    • Explore how to create line charts, scatter plot, histograms and bar chart using each of these packages
    • Highlight the differences, difficulty levels, and ease of use of these packages for visualization.
  • Future Topics

  • Helpful hints & resources

Note: Please click 'launch binder' button below to launch the Binder. A Binder is an interactive environment that allows you to run code in the web browser without any need for installations.
Please click 'Open in Colab' button below to launch the notebook in Google Colab for an interactive environment in the web browser.

Binder

Open In Colab

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Fifth workshop in a series of five Python workshops

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