Day 34 of 180 Days of Data Visualization #jfdi #catchup #doneisbetterthanperfect

Nathan Yau Data Points: Visualization That Means Something – reading first few chapters

  • There’s value in looking at data beyond the mean, median, or total because those measurements tell you only a small part of the story.  A lot of the time, aggregates or values that just tell you where the middle of a distribution is hide the interesting details that you could actually focus on for decision making and storytelling.
  • Example of showing stacked matrices month over month year over year to demonstrate and compare trends and keep visuals clear

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