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
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/