Abstract

Data visualization is becoming a necessity for big organizations as the social networking data is growing rapidly. It is becoming difficult to visualize data and perform complex comparisons. There have been large databases to store huge data but to study the behavior is becoming time consuming and sometimes impossible. One can analyze small sets of relations but as the relationship grows, it becomes difficult to make decisions. Data Visualization tools are used to overcome this issue; however, the algorithms used to perform the analysis requires high performance processors otherwise, the data size would degrade the performance. The research provides a comparative study on popular visualization tools that could be used in the analysis of large datasets. The comparison would comprise of statistics on their common features identified on the basis of market research and literature survey.

Authors and Affiliations