Introduction

Data visualization is an important pillar of machine learning. It helps us formulate the right strategies to understand data. Visual representation of data assists us in choosing the right algorithms. One of the main goals of data visualization is to communicate clearly using graphs and charts. These graphs help us communicate information clearly and efficiently.

We encounter numerical data all the time in the real world. We want to encode this numerical data using graphs, lines, dots, bars, and so on to visually display the information contained in those numbers. This makes complex distributions of data more understandable and usable. This process is used in a variety of situations, including comparative analysis, tracking growth, market distribution, public opinion polls, and many others.

We use different charts to show patterns or relationships between variables. We use histograms to display the distribution of data. We use tables when we want to look up a specific measurement...