Summarizing a population

You can use simple tools such as the histogram, boxplot, or bar chart to visualize the variations in the values of one column of a dataset across the populations of the data object. These visualizations are immensely useful, as they help you to see the values of one attribute at a glance.

One of the most common reasons for using these visuals is to familiarize yourself with a dataset. The term getting to know your data is famous among data scientists and is said time and again to be one of the most necessary steps for successful data analytics and data preprocessing.

What we mean by getting to know a dataset is understanding and exploring the statistical information for each attribute of the dataset. That is, we want to know what types of values each attribute has and how the values vary across the population of the datasets.

For this purpose, we use data visualization tools to summarize the data object population per attribute. Numerical and categorical...