Data visualization is the process of presentation of data in a graphical or pictorial format like charts, figures, bars, etc. Simply put, Data visualization is using pictures to represent data. Data visualization helps to discover patterns, trends, and correlations that might go unnoticed in a text-based data which helps the decision makers to make a fact-based decision.
You may ask, “But why to do data visualization when the same information might be available in excel tables or spreadsheets?” Well, it is better to represent the data in a picture format as ‘A picture is worth a thousand words‘ but more importantly, we can’t really see insights using spreadsheets. Another reason is that data visualization helps to process data faster.
For instance, suppose you are given a spreadsheet and a pictorial representation of the same data. Which one do you think gives you instant information quickly and beautifully?
But this is just a small amount of information. What about the large amount of information that you get from so many sources, i.e. Big Data? Data visualization helps to process and represent millions of data into a nice looking information providing picture.
Data visualization is a business analytics tool because it assists in data-driven or fact-based decision making. Decision makers can study through visualization and drill down to the details that they need really quickly. If a decision maker can’t drill down and the information is not readily available, they will have to ask the analyst for more information, which could take weeks or months.
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