Week 2
Data Visualization Fundamentals

Note: please update your local Python environment before loading the slides for this week [instructions here].

Topics

• Color fundamentals and available tools
• Introduction to matplotlib, seaborn, and altair

Class Survey

If you haven't yet, please fill out the initial survey for the class:

https://www.surveymonkey.com/r/TSVNMGP

Recommended Readings

• Matplotlib:
  • Guide to getting started with matplotlib
  • Matplotlib chapter of the Data Science Handbook
• Altair:
  • Introduction to Statistical Visualization
  • Exploring Seattle Weather: A Case Study
• Data viz design: Introductory slides of London's design guidelines

Documentation

• matplotlib
• seaborn
• Seaborn Tutorial
  • Visualizing statistical relationships
  • Categorical data
  • Visualizing the distribution of a data set
  • Visualizing linear relationships
• altair

Other Readings

• Remaking Historical Data Viz
• Modern Statistical Atlas
• A 6-part blog series on W. E. B. Du Bois' Data Visualization
• Data Sketches
• The 7 Kinds of Data Visualization People
• Fast vs Slow Data Visualization
• What Charts Say
• Color Guide and Overview of Color Tools
• The Importance of Grey
• 2017 PyCon presentation by Jake VanderPlas
• Sample plots in Matplotlib
• Data Visualization Society
  • Nightingale: The Data Visualization Society's Blog
  • What Makes Data Viz Elegant
  • Data Viz's Breakthrough Moment in the COVID-19 Crisis
  • Interview with John Burn-Murdoch about his COVID Data Viz
• COVID-19 Tracker from the Financial Times

Color Resources

• ColorBrewer 2.0
• Viz Palette
• Adobe Color CC
• Colorpicker for data
• Chroma.js Color Scale Helper
• Paletton
• Color Harmonies
• Choosing Color Maps in Matplotlib
• Choosing Color Palettes in seaborn
• Names of available color maps in Altair