Methods and Tools for Data Analysis and Visualization

Abstract

Data visualization refers to studies that schematically represent abstracted data visually while simultaneously including their own features and factors. Data visualization's primary goal is to use graphical tools to communicate information in a more understandable and efficient manner. In order to come up with good results, data analysis is required. Decisions can be made using the final result. In order to help the human brain better understand and inspect the data, which is to comprehend the outcomes of their processing, data visualizat ion entails turning the data into a visual context. The fastest human cognitive pathway is the visual canal. Because of this, more individuals prefer to view data than hear or read it. Fast data processing, analysis, and display are typically priorities in everyday life in a time of overproduction of digital data. Visual data analysis and processing tools are constantly updated as a result of constant contact between managers, users and developers on the one hand, and on the other, on the other hand. The essential points and the possible effects of data visualization tools and approaches in diverse fields are summarized in the chapter's conclusion. The purpose of this chapter is to present a thorough review of data visualization methods and techniques and to emphasize their significance in many disciplines for efficient data analysis and communication