FAQ: Data Types and Quality - Dealing with Messy Data

This community-built FAQ covers the “Dealing with Messy Data” exercise from the lesson “Data Types and Quality”.

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FAQs on the exercise Dealing with Messy Data

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Hi there!

I am having a hard time trying to figure out a typo in a dataset exercise that I can not seem to find the right data value.

The exercise follows:

Note that you will have to use some detective skills for two of the data points. For the typo, what is the most likely typo that would result in a height of .90? For the missing data, we actually cannot know what the value should be. One best guess is to take the mean of the other Pin Oaks.

I was able to figure out the rest of the typos and the missing data but I am stuck on trying to find the typo that would result for the height of .90, I tried inputting 0.90 but that did not seem to be correct. Would someone mind explaining what I’m missing here?

Hey, I put in 9.0 and it worked, I think you have to look at the other values and see a similar range (i.e. they are all near 6-12, so 9 is a reasonable guess)

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Hey, this makes sense. Is it just saying to use logic in this case ? Would this apply to working with a larger batch of data ?