By visualizing the data, it's possible to understand the meaning of the data by positioning it in a visual context. At first sight numerical analysis of data can hide patterns, trends, and correlations that instead represent the bases of data mining. These characteristics are highlighted instead through graphs and diagrams that describe the nature of the data under analysis.
The first task we can do is draw a data plot. In this way, we'll be able to highlight the characteristics we've already analyzed with the statistical data returned by thedescribe() function. A boxplot is a graphical representation used to describe the distribution of a sample by simple dispersion and position indexes. To draw a boxplot of a DataFrame, ...
