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[Engineering Lunch Series] Data Visualization for the Data Dumb

Data Visualization. Big Data. Data Science. All terms you probably hear a lot these days. Maybe you’ve even made a few visualizations before. While knowing how to write code to create them is one thing, understanding the theories and best practices for turning data into art (functional or otherwise) will take your data visualizations to the next level. Here at Quick Left, we’ve been doing an increasing amount of work with data visualizations, so I thought it would be a great idea to review some of these important topics.

This talk is meant to provide a brief overview of some important concepts, including:

  • How do you think about and analyze your data?
  • How do you turn your data into a focused and enlightening data visualization?
  • What are different ways you can represent your data visually?

Get access to your 50-minute screencast HERE.

Want to learn more? Here are a couple of books that I found really fascinating:

  1. Data Points: Visualization That Means Something by Nathan Yau

  2. Design for Information: An Introduction to the Histories, Theories, and Best Practices Behind Effective Information Visualizations by Isabel Meirelles