May 2025
Beginner
178 pages
4h 50m
English
Content preview from Data Science Foundations
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7 SOURCING
One of the key ingredients of data science is, as the name applies, data. As we have discussed in the previous chapter, the data used in any project can be the difference between a good outcome and a bad one. To be clear, a good outcome isn’t just proving a hypothesis. Failing to prove a hypothesis can be equally valuable, potentially avoiding making a poor decision based on a false premise.
Sourcing data isn’t just about finding some data, it is about ensuring the data set contains the data items needed and has the right data properties to allow the analysis. In some instances, the source data might need to be manipulated to derive data. In Chapter 8 we have an example of this in data granularity, where daily data is used to calculate ...
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