{"id":79842,"date":"2021-10-22T04:29:37","date_gmt":"2021-10-22T09:59:37","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=79842"},"modified":"2022-08-29T06:24:04","modified_gmt":"2022-08-29T11:54:04","slug":"what-is-data-visualization","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/what-is-data-visualization\/","title":{"rendered":"What is Data Visualization?"},"content":{"rendered":"

Many of us are visual learners, and the monotonous injections of boring verbal information do not stay for long with us. As professionals primarily involved in various data science processes, people have to deal with overwhelming data and interpret information from them. Data visualization is translating data or information into visual form to make it easily understandable.<\/span><\/p>\n

The main goal of this technique is to make it easy to identify trends, patterns, and outliers in large volumes of data. The data collected is represented using various visual elements like graphs and charts to get quick insights about making a real-time decision.<\/span><\/p>\n

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data visualisation<\/figcaption><\/figure>\n

Frederick Barnard, in 1921 said, \u201cA picture says a thousand words.\u201d Just 100 years later, we are sailing through the authenticity of the statement like never before. Thanks to computing and the internet, we are collecting volumes of information. We are bombarded with heaps of zeroes and ones through tools like Business Intelligence, and analyzing and hoping to find something useful from them does not come naturally to us. Data visualization is the bridge to gap our natural abilities and the demands of today\u2019s data-laden world.<\/span><\/p>\n

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Google analytics<\/figcaption><\/figure>\n
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