Mistakes to avoid
Datavisualisation, a data mining and exploration tool
Practical sheet REF: FIC1404 V1
Mistakes to avoid
Datavisualisation, a data mining and exploration tool

Author : Véronique MESGUICH

Publication date: October 10, 2021 | Lire en français

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6. Mistakes to avoid

6.1 Don't work with raw data

This data needs to be processed, homogenized and, if possible, enhanced with data categorization or statistical processing tools.

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6.2 Don't start working with data before you know what you're looking for.

It's the reading you envisage, the axis of analysis that will determine how to extract the data and the relationships to build between them.

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