Introduction
In this chapter, you will learn how to visualize and present data and analyze the findings from the data science approach you have adopted to solve a particular problem. There are various types of visualization to display your findings: bar plots, the scatter plots, pie charts, and so on, and it is very important to choose an appropriate method that can reflect your findings and work in a sensible and an aesthetically pleasing manner.
Importance of visualizations and reporting in data science:
Visualization is the art of displaying quantitative information in a sensible, legible, and aesthetically pleasing way. It consists of plotting quantitative information in the form of various graphs as well as putting forward or compiling the analyses and the results in a precise and a legible report.
Visualizations and reporting should always be done in such a way that the person or the group to whom they are being presented to should be able to follow and appreciate it with minimal...
