The beauty of data visualization

The beauty of data visualization

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  The beauty ofdata visualization Debashish Jana
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  What Is DataVisualization? Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.
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  Today's data visualizationtools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts.
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  Importance of datavisualization Data visualization has become the de facto standard for modern business intelligence (BI). The success of the two leading vendors in the BI space, Tableau and Qlik -- both of which heavily emphasize visualization -- has moved other vendors toward a more visual approach in their software. Virtually all BI software has strong data visualization functionality.
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  Data visualization toolshave been important in democratizing data and analytics and making data-driven insights available to workers throughout an organization. They are typically easier to operate than traditional statistical analysis software or earlier versions of BI software. This has led to a rise in lines of business implementing data visualization tools on their own, without support from IT.
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  History of DataVisualization The concept of using pictures to understand data has been around for centuries, from maps and graphs in the 17th century to the invention of the pie chart in the early 1800s. Several decades later, one of the most cited examples of statistical graphics occurred when Charles Minard mapped Napoleon’s invasion of Russia. The map depicted the size of the army as well as the path of Napoleon’s retreat from Moscow – and tied that information to temperature and time scales for a more in-depth understanding of the event.
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  Examples of datavisualization Many business departments implement data visualization software to track their own initiatives. For example, a marketing team might implement the software to monitor the performance of an email campaign, tracking metrics like open rate, click-through rate and conversion rate.
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  How data visualizationworks Data visualization software allows the user to select the best way of presenting the data, but, increasingly, software automates this step. Some tools automatically interpret the shape of the data and detect correlations between certain variables and then place these discoveries into the chart type that the software determines is optimal.
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  Informative: The mostbasic function of a report is to inform the consumer of something and a picture can do this in a universal way.
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  Efficient: Perhaps thebiggest benefit of utilizing data visualizations is the efficiency gained through proper execution. A well designed visual will save the data analyst precious time as it can communicate the message of the data concisely and without ambiguity.
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  Appealing: Much likea masterpiece draws the viewer in and captivates their thoughts as they gaze at the picture, properly designed data visualizations will draw you in and lead you to the intended conclusion in a visually pleasing way.
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  Why data visualizationand reporting tools are important for business users? Visualized data reporting help to effectively research on customer profile such as age, behaviors, landing page, actions and many other things that improve digital marketing efforts. And it’s really important for any size business to compare, analyze and boost business growth pattern with data visualization.
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  Know the followingbenefits and you will understand why data visualization is needed? Data visualization tools are effective to understand complex data and multi-dimensional data. Data visualization helps to visualize trending data in application and website on the internet. And anyone can use data visualization techniques to discover insights and new conclusions.