{ "cells": [ { "cell_type": "markdown", "id": "58a78fb9", "metadata": {}, "source": [ "# Exploring visualizations\n", "\n", "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?\n", "\n", "## Rubric\n", "\n", "| Criteria | Exemplary | Adequate | Needs Improvement |\n", "| -------- | --------- | -------- | ----------------- |\n", "| | A notebook is submitted with two explorations/visualizations | A notebook is submitted with one explorations/visualizations | A notebook is not submitted |\n", "\n", "## Acknowledgments\n", "\n", "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." ] } ], "metadata": { "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" }, "source_map": [ 14 ] }, "nbformat": 4, "nbformat_minor": 5 }