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When data is not readily available, a lot of time is spent searching for data, the reliability of that data, and also the manual entry of data. This could lead to errors, repetition, and bad data as a whole, making poor decisions.

 
Before collecting data, wrangling it, and performing any form of analysis; Data Scientists have to understand the problem that needs to be solved. They are the scientists of data, so they will be the ones reconstructing it to find the solution; so it is imperative they have a good understanding of the issue.

 
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