Stacia Varga takes a step back from analyzing NHL data to explore it a little more:
As I mentioned in my last post, I am currently in an exploratory phase with my data analytics project. Although I would love to dive in and do some cool predictive analytics or machine learning projects, I really need to continue learning as much about my data as possible before diving into more advanced techniques.
My data exploration process has the following four steps:
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Assess the data that I have at a high level
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Determine how this data is relevant to the analytics project I want to undertake
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Get a general overview of the data characteristics by calculating simple statistics
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Understand the “middles” and the “ends” of your numeric data points
There’s some good stuff in here. I particularly appreciate Stacia’s consideration of data exploration as an iterative process.