{"repo":"pmaji/practical-python-data-viz-guide","free":true,"listed":false,"github":"https://github.com/pmaji/practical-python-data-viz-guide","clone":"git clone https://github.com/pmaji/practical-python-data-viz-guide.git","description":"Resources for teaching & learning practical data visualization with python.","language":"Jupyter Notebook","stars":111,"topics":["python","visualization","matplotlib","plotly","data-visualization","data-science","data-analysis","plotly-express","seaborn","altair"],"license":"MIT","category":"analytics","readme_excerpt":"Practical Data Visualization with Python Overview All views expressed on this site are my own and do not represent the opinions of any entity with which I have been, am now, or will be affiliated. This repository contains all materials related to a lecture / seminar I teach on practical data visualization with python. What I mean by \"practical\" is that the materials herein do not focus on one particular library or data visualization method; rather, my goal is to empower the consumer of this content with the tools, heuristics, and methods needed to handle a wide variety of data visualization problems. If you have questions, comments, or suggested alterations to these materials, please open an issue here on GitHub. Also, don't hesitate to reach out via LinkedIn. Outline of Materials Below you'll find a brief outline of the content contained in the four sections of this seminar, along with notebook links, and an example visualization from each section. For each section there is a separate notebook of python code containing all the materials for that section. Each notebook will start with a few setup steps--package imports and data prep mostly--that are almost identical between the notebooks, directly after which comes the content for each section. For information about the data used in these materials, check out the data prep nb.ipynb notebook, the easy-to-view version of which is hosted here. Section 1: Why We Visualize Here is the link to the easy-to-view notebook for this sec","default_branch":null,"files":null,"tree":[],"storefront":"/r/pmaji","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/pmaji/practical-python-data-viz-guide/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}