Examples for

Descriptive statistics are statistical measures of a dataset that describe, characterize and summarize its properties, such as shape, variability, size and central location. Wolfram|Alpha's rigorous statistical algorithms enable you to compute and characterize the properties of your data with lightning-fast speed.

Compute elementary descriptive statistics summarizing the properties of a dataset, such as maximum and minimum values or number of entries.

Compute the measures of dispersion, such as variance or standard deviation, for a dataset.

Compute common measures of central tendency, such as mean, median and mode, for a dataset.

Compute other common descriptive statistics, such as skewness, kurtosis and outliers, for a dataset.

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