15 Data visualization using Seaborn

Sida Huang and Longxiang Zhang

Visualization of data can help data scientists perform exploratory analysis of data more efficiently. By taking the EDAV course, we learned about exploratory data visualization and analysis using R language. However, considering that many of the students are more familiar with the Python language, we decided to present some of the content of the EDAV course through Python.

The main content of this community contribution is a tutorial on exploratory data visualization and analysis using the Python third-party library seaborn. We designed the Community Contribution based on the 9-th to 13-rd chapters of the edav information website.

The detailed tutorials can be found here: https://github.com/amethystorm/EDAV_CC20.