Know Your Data: Is It Good or Bad?

Before starting to create charts or maps, get to know your data.

  • Where did it come from?
  • Who compiled the data, and for what purpose?
  • What do the data labels really mean?
  • Ask yourself: Am I working with the most recent version, in the best available format?

Closely examine your data files to understand their meaning, sources of origin, and limitations. TODO: expand on this theme with examples of bad and misleading data

TODO: cite and explain this resource https://github.com/Quartz/bad-data-guide

Learn more

Christopher Ingraham, An alarming number of scientific papers contain Excel errors, https://www.washingtonpost.com/news/wonk/wp/2016/08/26/an-alarming-number-of-scientific-papers-contain-excel-errors/