Today we have graphs, charts, maps, etc. to represent data in academics, science, business analysis, marketing, and even in our daily life. However, it would be wrong to assume that the tools which are already in use are adequate to represent all kinds and volumes of data. Sometimes, data visualizers might need to combine two or more data visualization tools to represent a particular piece of information in the right way. Sometimes, the data visualizers might need to think of a completely new tool to represent the data that would appeal to the audience the most. This compulsion to work upon new data visualization techniques is increasing day by day as the volume of relevant data has increased in almost every sphere of our lives.
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