Data better understanding by using of interactive visualization tools

Abstract

The objective of this study is to make a research of JavaScript libraries providing the most effective methods of data processing. We analysed eight web-based visualization tools for data rendering. There are amChart, D3, Flotr2, Google Chart Tools, Charts.js, NVD3, Vis.js and ZingChart. Few tests for the three datasets with different values were performed. Loading time and time of rendering were tested for each library. The tests were repeated several times and the average of results was calculated. Different web browsers were used to compare the distortion caused by them. This paper is a first part of our research. We need a tool for better visualization our data which is taken from an algorithm for time estimation of software product development. Testing of these web-based tools should help us to choose the most appropriate library. Based on these tests a web application for data processing will be created. Additional possible usage of application can be in teaching of software engineering, statistics, mathematics, physics or economics. The interactive representation of data will be helpful for students to understanding and analysing of their collected data. © The Turkish Online Journal of Educational Technology.