TOOLS AND TECHNIQUES OF DATA VISUALIZATION

Abstract

Data visualization is the process of displaying data in a graphical or pictorial style to make it easier to understand. It aids in establishing facts and deciding on courses of action. It will help any field of study that needs creative ways to convey substantial amounts of complicated material. Large datasets may be shown graphically using data visualization, a powerful tool. Several methods and technologies for data visualization are in use. Data Presentation and Data Exploration are two major objectives of data visualization technologies. Many decision-makers rely on data visualization to make a variety of data-driven judgments and forecasts. Data visualization tools and techniques are used to create data visualization technology. Data visualization technique refers to how the data is displayed graphically, such as in a chart, graph, or map, as opposed to data visualization tool, which is software that receives the data, processes it, and presents it in a graphical style. There are many different data visualization tools and methods in use. However, choosing the right data visualization technology and approach based on the intended use is a significant difficulty for decision-makers.  This research paper's objective is to give a comparative analysis of data visualization tools and approaches.