Top Data Visualization Mistakes to Avoid
Introduction
Due to the manner in which our brains process information, using charts or graphs to visualize large amounts of complex data is easier than poring over voluminous documents. Data visualization is a fast and simple way to convey messages and concepts in an efficient manner. Besides information relay, this concept has also changed the way business is done. Organizations that deal with large amounts of information on a daily basis, such as banks, judicial and academic institutions can now process huge amounts of data at lightning-fast speeds, thus enhancing the process of information management.
A Brief on the History of Data Visualization
Did you know that Data Visualization is one of the oldest concepts of the science of perception? Many people are wrong to belief that the presentation of data, using pictorial or graphical formats is a fairly new idea. In as much as data visualization is the current big thing in the realm of information management, it is a concept, which has been around for quite some time now. The use of pictures, maps and graphs to understand data better in the 5th and 6th centuries is adequate evidence of data visualization’s early history.
Today, this form of data presentation is used to help data audience recognize patterns, trends
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Sure you’ve done your research and collected more than enough data to support your findings and you can’t wait to impress your audience with your thoroughness and data visualization skills, but putting together your data in a chaotic jumble with unnecessary bells and whistles is a sure way to turn off your audience the moment they set their eyes on it. Be neat in your work and only use charts, graphs, Excel tables or any other visuals where