The spreadsheet (https://docs.google.com/spreadsheets/d/1SP3Sqqdv6R8chFamjtgdNlOrUar-hJXvkMSeha2mHQ8/htmlview# https://docs.google.com/spreadsheets/d/1SP3Sqqdv6

The spreadsheet (https://docs.google.com/spreadsheets/d/1SP3Sqqdv6R8chFamjtgdNlOrUar-hJXvkMSeha2mHQ8/htmlview# https://docs.google.com/spreadsheets/d/1SP3Sqqdv6R8chFamjtgd...) could use some normalization and sanitation, but this would make some very interesting data stories. I tried to find data on media trends to cross-reference the salary data with industry revenue to get a better understanding, and the best source I could find was Pew Research (https://www.journalism.org/fact-sheet/digital-news/ https://www.journalism.org/fact-sheet/digital-news/) but it only covers Digital News. Overall, my initial gatherings from perusing the spreadsheet are: - Don't expect to see Software Engineer salaries in the dataset (6-figures is the exception, not the norm). - Biggest surprise was a Reporter in Boston with a 22-year career making $62k/yr. - The most frequent locations seem to be NY, DC, Boston, and LA (perhaps unsurprisingly), so I'm not sure how capturing that is of wider domestic and international salary information/trends for the industry. Another question: I wonder how profitable these companies listed in the spreadsheet are, and how much their owners are making?