Related LibGuide: Data Visualization by Pete Lawson
Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python.
You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both understanding the meaning and patterns hidden in your data and communicating it to an audience. This workshop by JHU Data Services serves as an introduction to using Python’s data visualization tools and techniques. In this hands-on session, we’ll cover design concepts of data visualization and popular Python packages, before diving into creating data visualizations for a prepared dataset using Matplotlib and Seaborn. Some prior experience in Python is required.