Descriptive statistics constitute a mathematical framework within data science designed to summarize and describe the fundamental properties of a specific dataset without inferring characteristics about a larger population. This theory categorizes analytical parameters into measures of central tendency, which identify a representative center value for distribution clusters, and measures of dispersion, which quantify the variability or spread of observations relative to that center. Additionally, the concept encompasses formal tabular representations such as frequency tables and contingency tables used to organize categorical variables, along with graphical visualizations intended to represent data distributions statistically.
Descriptive statistics constitute a mathematical framework within data science designed to summarize and describe the fundamental properties of a specific dataset without inferring characteristics ab…