Introduction Descriptive statistics is one of the ways to describe the data. In data science, descriptive statistics are used to provide an overview of a huge data collection. It's used to see if the data is normally distributed or not. It is presented in the form of a chart, graphs, table, frequency distribution, and so on. It provides information on summary statistics that includes Mean, Standard Error, Median, Mode, Standard Deviation, Variance, Kurtosis, Skewness, Range, Minimum, Maximum, Sum, and Count. Two major information is provided by Descriptive Statistics regarding the data: The measure of Central Tendency The measure of Dispersion Descriptive Statistics Descriptive statistics answer the following questions: What is the value that best describes the data set? How much does a data set speads from its average value? What is the smallest and largest number in a data set? What are the outliers and how it affects the dataset? Measure of Central Tendency It describes a whole