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Data Quality Quacks: Accuracy

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  • čas přidán 10. 12. 2022
  • Accuracy is the level to which data represents a real-world scenario and confirms with a verifiable source.
    As a kid, if you lived in a place where you could easily visit ducks your parents might have equipped you with some stale bread to feed the ducks as an alternative to just throwing it away.
    Hopefully this was a fun experience visiting the ducks, throwing small bits of the bread and watching the ducks quickly run towards the crumbs and gobble 'em up. 🦆🦆🍞
    This could be a fact that you then stored in your child mind as data: ducks eat bread, bread is good for ducks to eat.
    While the former is accurate in the sense that it represents the real-world... you saw it with your eyes...
    it is not entirely accurate because bread is actually not a good diet for ducks as it lacks essential nutrients ducks would otherwise find in their daily food sources like aquatic plants and grasses.
    TL;DR
    Even though you might have fed ducks as a child and the ducks ate that bread, this does not create an accurate data point that bread is good for ducks.
    Did you feed ducks bread as a kid?
    Do you have a data accuracy story?

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