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 // GitHub CODE // https://github.com/kimfetti/Videos/bl... // Original BLOG // http://kimberlyfessel.com/mathematics... // Related VIDEOS // Add TEXT to Matplotlib: • Add TEXT to MATPLOTLIB figures || Python m... Change AXES LIMITS in Matplotlib: • How to change the axes limits of a matplot... Remove outside BOX around Matplotlib: • Remove outside box around matplotlib figur... Full Matplotlib Tips PLAYLIST: • Matplotlib Tips #dataviz
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