Exploratory data analysis (EDA) is the first step toward data analysis and building a machine learning model. Statistics provide fundamental knowledge and a set of tools for exploratory or descriptive data analysis. This chapter is designed to make you data-ready. For any kind of data professional role, you need to understand real-world data that is generally noisy, has missing values, and is collected from various sources.
Before performing any kind of preprocessing and analysis, you need to get familiar with the data present, and statistics is the only tool that will help you here. This makes statistics a primary and very necessary skill for data professionals, helping them gain initial insights and an understanding of the data. For example, the arithmetic mean of the monthly working hours of an employee can help us to understand the load of an employee in an organization...
