Chapter 2: Essential Statistics for Data Assessment

In Chapter 1, Fundamentals of Data Collection, Cleaning, and Preprocessing, we learned about data collection, basic data imputation, outlier removal, and standardization. Hence, this will provide you with a good foundation to understand this chapter.

In this chapter, you are going to learn how to examine the essential statistics for data assessment. Essential statistics are also often referred to as descriptive statistics. Descriptive statistics provide simple, quantitative summaries of datasets, usually combined with descriptive graphics. For example, descriptive statistics can demonstrate the tendency of centralization or measures of the variability of features, and so on.

Descriptive statistics are important. Correctly represented descriptive statistics give you a precise summary of the datasets at your disposal. In this chapter, we will learn to extract information and make quantitative judgements from descriptive statistics...