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Showing posts with the label data visualization

Histograms are the best way to visualize distribution of data points

  Data distribution plots help visualize how quantitative data points are spread over the range of their values. Distribution of quantitative data can be shown in various ways such as box-plots, violin-plots, histograms, and scatter-plot with artificially introduced deviations to depicts density of the data points. However, I think the relatively simple looking histogram is the best way we can visualize the data distribution, because it visualizes exactly how many data points are present in a given range of numbers. Figure: Data distribution of MSRP of a category of car. (Data taken from Kaggle)