Variability
Variability refers to the degree to which data points in a dataset differ or spread out from the central tendency or mean. In data science, variability is an important concept as it helps in understanding the distribution of data and the degree of uncertainty associated with it. Variability can be measured using various statistical measures such as variance, standard deviation, and range. A dataset with high variability indicates that the data points are widely spread out from the mean, while a dataset with low variability indicates that the data points are closely clustered around the mean. Understanding variability is crucial in data analysis as it helps in identifying outliers, detecting patterns, and making predictions.
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