Data analytics: analysis, presentation, and identification

This title was summarized by AI from the post below.

I love the phrase "the whole game of data science" (used by Hadley Wickham, Garrett Grolemund and Mine Çetinkaya-Rundel in their classic book R For Data Science). But the diagram I draw is different to the one they draw. For me (and my focus is on data analytics as opposed to data science), there are three components. First of all, there is data analysis pure and simple. You've already been told what data to analyse, you just have to analyse it. Secondly, you also have to take responsibility for communicating your findings to others. So data presentation skills (written and/or verbal) come into play. Thirdly, if you also have to take responsibility for finding out what you need to analyse in the first place, by discussing the issue with the decision-makers, then data identification skills also come into play. So it's a different way of thinking about "the whole game". But we do need to strike the right balance between all three components.

  • Three simple diagrams arranged horizontally across the page.
The diagram on the left is a grey rectangular block labelled "Data" with the title "Data analysis".
The diagram in the middle is the same but with a violet rectangular block labelled "UltraData" positioned below and to the right, with the title now including the phrase  "Data presentation".
The diagram on the right is the same but with a red rectangular block labelled "InfraData" positioned above and to the left, the title now including the phrase  "Data identification".

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