Different visualization issues with big data

Abstract

We are midst of digital inclusion era, where different technologies around us, providing a wide platform of engagement with meaningful data visualizations. That engagement demands rational sense from end-users’ to handle data in more sensitive manner. Large datasets for research need effective tools for data capture, curate them for designing appropriate algorithms and multidimensional analysis for effective visualizations. Effective use of ICT will help us a lot to curve with societal problems in multidimensional way. While exploring different activities around an event, selecting trusted sources using different visualization cum analysis tools are a handy option for journalists, government and common people. The complexity and volume of the data produced by an event remains largely untapped. Exploratory Data Analysis (EDA) with proper visualization techniques helped us a lot to demonstrate our ability to build an environment for heterogeneous large volume datasets. Different disciplines and data generation rates of different lab experiments, online as well as offline make the issue of creating effective visualization tools a formidable problem. Our main aim is to analyze and summarize large datasets in a concise manner with or without help of any statistical tools and produce the results using different visualization techniques In this paper we will discuss about different data intensive visualization tools, trends of different emerging technologies, how big data processing heavily relying on those effective tools and how it helps in efficient decision making for the society.