Variation

In data science, variation refers to the amount of dispersion or spread in a dataset. It is a measure of how much the data points in a set differ from each other. Variation is an important concept in statistical analysis as it helps to understand the distribution of data and the degree of uncertainty in the results. There are several measures of variation, including range, variance, and standard deviation. Range is the difference between the maximum and minimum values in a dataset, while variance is the average of the squared differences from the mean. Standard deviation is the square root of the variance and is often used as a measure of the spread of data around the mean. Understanding variation is crucial in data science as it helps to identify outliers, detect patterns, and make predictions based on the data.
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