Summary Statistics

Summary statistics are numerical measures that describe the main features of a dataset. These measures provide a quick and easy way to summarize the characteristics of a dataset, such as its central tendency, variability, and shape. Common summary statistics include measures of central tendency, such as mean, median, and mode, and measures of variability, such as standard deviation, variance, and range. Other summary statistics include measures of skewness, kurtosis, and correlation. Summary statistics are used in data science to gain insights into the data, identify patterns, and make informed decisions. They are also used to compare different datasets and to test hypotheses about the data. In machine learning, summary statistics are often used to preprocess data and to evaluate the performance of models.
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