Affiliation:
1. Sri Eshwar College of Engineering, Coimbatore, India
2. M. Kumarasamy College of Engineering, Karur, India
Abstract
Any attempt to explain the relevance of data by putting it in a visual context is referred to as data visualization. With the aid of data visualization software, patterns, trends, and correlations that could go unnoticed in text-based data can be exposed and identified more easily. The graphical presentation of quantitative information is known as data visualization. In other words, data visualizations convert big and small data sets into pictures that the human brain can comprehend and digest more readily. In our daily lives, data visualizations are surprisingly prevalent, yet they frequently take the shape of recognizable charts and graphs. It can be applied to find unknown trends and facts. When communication, data science, and design come together, good data visualizations are produced. When done well, data visualizations provide important insights into complex data sets in clear, understandable ways. The authors talk about data visualization, its significance, tools for data visualization, etc. in this chapter.