How I took one sad plot and made it better, and what I learned from it.
Making it tidy isn’t the end of your data’s story…
In this talk, Alison will talk about one plot’s life cycle, from a sad Powerpoint slide to an Excel chart and finally to the finished product made with the ggplot2 package in R. Along the way, she will discuss why each version of the plot fails in different ways and how each iteration improved on the last one. Latest event This talk was most recently given at the University of South Wales on 2019/10/04.
Using one dataset from The Great British Bake Off, I show eleven ways to visualize one dataset using eleven different versions of “tidy data.” Take-away messages: Tidy data is the start of your data wrangling journey, not the end There is not a single “tidy” version of a dataset Tidy data does make you more nimble!
Join us on April 6 for a walk-through of how to take a sad plot and make it better by Alison Hill, who co-teaches the CS631 Data Visualization course. Alison will take us through one plot’s life cycle, from a sad Powerpoint slide to an Excel chart and finally to the finished product made with the ggplot2 package in R. We will discuss why each version of the plot fails in different ways, how each iteration improved on the last one, and which data visualization principles are at work in the final plot to communicate a clear scientific story.