Descriptive Statistics in Data Science

The structure, synthesis, and interpretation of data are the focus of descriptive statistics, a subfield of data science. It is employed to clarify and appreciate a dataset’s essential properties, including its distribution, dispersion, and central tendency. Using descriptive statistics to prepare the data for inferential statistics-based analysis is a critical stage in the data analysis process. Data scientists may find patterns, trends, and insights using various tools and methods.

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