Intervals

In data science, intervals refer to a range of values that define a specific subset of a dataset. Intervals are commonly used in statistical analysis to group data into categories or to define the boundaries of a confidence interval. Intervals can be either continuous or discrete, depending on the type of data being analyzed. Continuous intervals are used for data that can take on any value within a range, while discrete intervals are used for data that can only take on specific values. Intervals are often used in data visualization to create histograms or other types of charts that display the distribution of data within a dataset.
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