Conception about the Data Visualization Techniques Including Data Stream Mining and Bioinformatics

Abstract

Data visualisation techniques are effectively beneficial to for data streaming in a significant way. Graphical representation is also measured with help of this data visualisation process. Several types of graphs, images, charts and maps are used to maintain data visualisation process. Decisions making process and problem-solving ability is also enhanced with help of these data visualisation procedures. Pie charts, bar charts, waterfall charts, Gantt chart and heat map are used to maintain the data visualisation process. Bullet graphs are also useful for this conception about data visualisation process. Researcher uses “interpretivism” research philosophy, “inductive” research approach and “qualitative” research method to gather information related to this study. Creative and innovative ideas and thoughts related to data are also used with help of this particular data stream mining in a significant way. Data visualisation market value and big data market size is also mentioned in this study. Constant cycles of news and entertainment are also gathered with help of this data visualisation techniques including data stream mining.