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Data exploration uses a combination of summary statistics—means and medians, variances, and counts—and visualization, or graphs of the data. You can spot some problems just by using summary statistics; other problems are easier to find visually.
The first step in any model building process is to understand the data, which can most easily be done through a graph.
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