Data Visualization Thought Process // Python Matplotlib Baby Names Data Visualization
Join me for a full data viz transformation! In this video, we'll explore the entire data visualization thought process: from collecting and exploring the data to making critical design decisions to convey the main point. Learn how to make design choices like labeling lines directly and code up your own Python data visualization using pandas plotting, Matplotlib code and design, and a bit of seaborn styling. See a data visualization example with a Matplotlib title, Matplotlib text annotations, an updated Matplotlib legend, and use of seaborn despine. I also demo the Matplotlib FuncFormatter to format the tick labels.
0:00 Introduction
0:48 Problem setup
3:09 Data exploration
5:45 Initial plot
8:45 Styling: Figure size & Lines
12:00 Styling: Axes labels & Remove box
16:44 Styling: Label lines directly
21:30 Styling: Title & Annotations
27:50 Styling: Tick labels
33:40 Conclusion
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