Data Visualization Definition.
Data visualization is both an art and a science as it helps to communicate information clearly and efficiently through the graphical representation of information by using statistical graphics, plots, information graphics and other tools. The real effectiveness of statistics lies in data visualization, painting pictures with numbers is what makes the statistics unique and powerful.
More importantly, doing good data visualization is more complex than most people think. Careful thought is required from the planning stages to execution.
The advantage of Data Visualization is not that it makes data more beautiful but that it enables decision-makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns.
Why Data Visualization?
In the recent past, Data visualization has emerged as a powerful tool to communicate. In fact, hundreds of books have been written and plenty of online courses created about how to tell stories with data. Sometimes numbers are more easily communicated by presenting results to help people understand the significance of data by placing it in a visual context because of the way the human brain processes information.
Data Visualization can also:
- Identify areas that need attention or improvement.
- Clarify which factors influence customer behavior.
- Help you understand which products to place where.
- Predict sales volumes.
“Visualization gives you answers to questions you didn’t know you had.” – Ben Schneiderman
Before You Go
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