Quantitative Measures

Quantitative measures refer to numerical values or scores that are used to represent a particular characteristic or attribute of a dataset. In data science, quantitative measures are used to analyze and interpret data, and to make informed decisions based on the results of the analysis. These measures can be used to describe the central tendency, variability, and distribution of a dataset, and to identify patterns and trends in the data. Common examples of quantitative measures include mean, median, mode, standard deviation, variance, correlation coefficient, and regression analysis.
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