--- jupytext: cell_metadata_filter: -all formats: md:myst text_representation: extension: .md format_name: myst format_version: 0.13 jupytext_version: 1.11.5 kernelspec: display_name: Python 3 language: python name: python3 --- # Exploring visualizations There are several different libraries that are available for data visualization. Create some visualizations using the Pumpkin data in this lesson with matplotlib and seaborn in a sample notebook. Which libraries are easier to work with? ## Rubric | Criteria | Exemplary | Adequate | Needs Improvement | | -------- | --------- | -------- | ----------------- | | | A notebook is submitted with two explorations/visualizations | A notebook is submitted with one explorations/visualizations | A notebook is not submitted | ## Acknowledgments Thanks to Microsoft for creating the open-source course [ML-For-Beginners](https://github.com/microsoft/ML-For-Beginners). It inspires the majority of the content in this chapter.