3. Data UnderstandingΒΆ
This phase aims to increase familiarity with the data, to identify data quality problems, to discover initial insights into the data and detect interesting subsets to form hypotesis about hidden information.
There are several keys steps to develop the data understanding process:
collection of initial data
description of the data
exploration the data
verification data quality
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Differents sources of the data |
