The purpose of a publication-stage data visualization is to tell a story. Subtle choices on the part of the author about how to represent a dataset graphically can have a substantial influence on the story that a visualization tells. Good visualization can bring out important aspects of data, but visualization can also be used to conceal or mislead. In this assignment, you’ll look at some of the subtleties surrounding the seemingly straightforward issue of how to choose the range and scale for the axes of a graph.

Tasks - Read the article and/or watch the video - Respond to the prompts. https://www.callingbullshit.org/tools/tools_misleading_axes.html https://www.youtube.com/watch?v=aposE4ElE5A&feature=emb_title 1) State one interesting/surprising idea you found in the article. Why was it interesting/surprising and what question are you now thinking about as a result of reading the article? (5-6 sentences) 2) Explain clearly when a graph should include 0 on the axes and when it does not have to include 0 on the axes. And the clarify why labeling your axes incorrectly can be misleading. (5-6 sentences) 3) Choose and state a topic of interest to you (something that you are interested in your life) that is not referenced from the article. Then find an example of a misleading graph [not from this article] that is related to your topic, include this graph in your submission, make sure the graph is clearly legible. [Use the Embed Images Tab embedimage-1.pngon the top to embed your graph] 4) Explain why that graph is misleading by referencing ideas from the article. (3-4 sentences) 5) Identify how this graphic of the most read books in the world can be misleading. Explain using a specific example from the graphic. (3-4 sentences)