Descriptive data analysis mainly focuses on the data that is already available to us. It summarizes the data, helps identify patterns, trends, and anomalies, and converts it into a presentable format.

Descriptive statistics are used to summarize and display the basic features of a data set, such as its size, distribution, central tendency, variability, and shape.

This repository is dedicated to exploring and understanding the concepts of Descriptive and Inferential Statistics through a hands-on project-based approach. It includes practical examples, Python ...

One of the most important things to know about descriptive data analysis is that it focuses on the data instead of on the implication that can be far reaching and go beyond the represented data. This ...

To understand and apply statistical concepts i.e. descriptive analysis, inferential, hypothesis testing and confidence intervals to a data science project. - ...