21 Comments

    1. Data source: American Lung Association [https://www.lung.org/research/trends-in-lung-disease/tobacco-trends-brief/data-tables/ad-cig-smoking-state](https://www.lung.org/research/trends-in-lung-disease/tobacco-trends-brief/data-tables/ad-cig-smoking-state)

      Tools: python, Jupyter, pandas, matplotlib, geopandas.

      Full reproduction code: [https://aaronjbecker.com/posts/matplotlib-choropleth-mapping-smoking-rates/](https://aaronjbecker.com/posts/matplotlib-choropleth-mapping-smoking-rates/)

      Inspired by my father-in-law, who quit last month after 60 years of smoking!

      Any formatting advice is greatly appreciated– are the labels too busy? should I use discrete colors? is the color bar size/placement OK?

    2. No need to smoke cigs in UT when you can get all those carcinogens from the valley smog anyway.

    3. Why does the scale start at 8% and stop at 20% when the actual data is between 6.7% (UT) and 21% (WV) ?

    4. Miqo_Nekomancer on

      California needs to get that number down further. It’s lovely not encountering any smokers here and it’s incredibly unpleasant every time I do.

    5. thedoofimbibes on

      Gotta be honest I expected Washington’s number to be higher than Texas. Lived in Seattle for seven years and it was like going back in time to the 90s where there were smokers everywhere. Just without the smoking sections in restaurants and bars.

    6. Liesthroughisteeth on

      And 90% of the time education is a factor as is political affiliation and firearm ownership. I’ll let you figure out how this might play out.

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