Articles

Visualizing Data: Why, When, and How

This is a three-part series on data visualization originally published on T4G Insights. Parts 1 and 2 focus on using data visualization throughout the data science workflow and determining whether visualizing your data is an appropriate approach for communicating information. Part 3 focuses on factors that affect effective and honest communication of a data story.

See Teaching and Talks for associated conference talks (info and video).

• Part 1: Data Visualization Throughout the Data Science Workflow
  • Article 1: Data Science Process
  • Article 2: Data Science Insight & Data Science Communication
• Part 2: When Is Data Visualization a Good Choice?
• Part 3: The Importance of Integrity
  • Article 1: How Plot Parameters Influence Interpretation
  • Article 2: How Colour Choice Influences Interpretation
  • Article 3: Maps - Potentials and Pitfalls

Conference reflections

• Big Data Congress 2017
• T4G does Data Philanthropy: Fun with zeroes and ones!