Understanding of the Exploratory Graph Theoretical Approach for Data Analysis With Supervised and Unsupervised Learning

Abstract

Information is a vital part of optimizing the effectiveness, profitability, and dynamic abilities of organizations of all sizes, which leads to expanded deals, profits, and benefits. Currently, organizations deal with immense datasets, but owning a lot of data doesn't boost the business unless ventures investigate the available data and drive authoritative development. It is possible to automate exploratory data analysis to save a lot of time and effort, since we no longer need to write code for each visualization and statistical analysis. Automation of the process generates a report that includes all the visualization and data analysis as well.