TBH, something looks off with the underlying data. Probably one of those questions where you need to look into what is driving shifts in terms of reporting, definitions, and coverage.
A lot of voluntarily submitted federal data can’t be used to make aggregate estimates; in this case aggregate FDA complaints may not correlate to actual events. Often the choice to report is as important, or more so, then changes in underlying quantities.
psilicyguy on
Hey my grandpa died in that wave
spaceman_danger on
There was a sale on Werther’s Originals.
OnlyAdd8503 on
The years Grandmas everywhere discovered deepthroat porn.
jeffoh on
People heard how David Carradine died and thought they’d try it out
t3hjs on
Could it be more ppl reporting?
How much is that as % of all reports?
yourfinepettingduck on
regardless of other issues with the dataset… it starts in 2004 what the hell are you doing with that axis
rhythmmchn on
That’s why they discontinued the transparent life-savers at the end of 2014.
10 Comments
Source: [https://open.fda.gov/apis/food/event/](https://open.fda.gov/apis/food/event/)
Tool: matplotlib
Cinnamon challenge correlation or causation?
TBH, something looks off with the underlying data. Probably one of those questions where you need to look into what is driving shifts in terms of reporting, definitions, and coverage.
A lot of voluntarily submitted federal data can’t be used to make aggregate estimates; in this case aggregate FDA complaints may not correlate to actual events. Often the choice to report is as important, or more so, then changes in underlying quantities.
Hey my grandpa died in that wave
There was a sale on Werther’s Originals.
The years Grandmas everywhere discovered deepthroat porn.
People heard how David Carradine died and thought they’d try it out
Could it be more ppl reporting?
How much is that as % of all reports?
regardless of other issues with the dataset… it starts in 2004 what the hell are you doing with that axis
That’s why they discontinued the transparent life-savers at the end of 2014.