Professionally Visualize Data Distributions in Python
<p>Exploratory data analysis and data visualization often includes inspecting a dataset’s distribution. Doing so provides important insights into the data, such as identifying the range, outliers or unusual groupings, the data’s central tendency, and skew within the data. Comparing subsets of the data can reveal even more information about the data on hand. A professionally built visualization of a dataset’s distribution will provide immediate insights. This guide details several options for quickly using Python to create those clean, meaningful visualizations.</p>
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