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Visual Data Representation Techniques Combining Art and Design


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Visually representing data is becoming increasingly popular. Companies are investing thousands of dollars in getting their data created using design elements. From large enterprises to small businesses, everyone is hunting for techniques to help them make dull and monotonous data into something attractive.

Designers thoroughly study data and then invest all these imagination into making it simpler for everyone to understand it. Minimizing information and making it universal is the key to data visualization.

From infographics to presentations and software to tools, there are many techniques one can use to enhance the look of spreadsheets, Big Data and analytics.

Here are visual techniques to help you display your data in an aesthetically pleasing way. You can use some of these or all of them. These tips are not limited to the web or print, but can also be used for television. In fact, weather forecasting channels use visuals like maps, icons and GIFs to represent information.

Want your data to stand out? Use these techniques to uplift your data.

Published in: Data & Analytics, Design
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Visual Data Representation Techniques Combining Art and Design

  1. 1. Visual Data Representation Techniques: Combining Art and Design
  2. 2. What is data visualization?
  3. 3. Creatively representing data using design elements to enhance data readability and understanding.
  4. 4. Why represent data visually?
  5. 5. To ease data interpretation for all
  6. 6. 94% content viewership depends on images
  7. 7. 90% information transmitted to brain is visual
  8. 8. 12% growth in web traffic with infographics
  9. 9. Sharing visual data is faster
  10. 10. Upload infographics on and Pinterest Get an infographic made now
  11. 11. Use Slideshare for business presentations Get a presentation created now
  12. 12. To ease the task of trend spotting
  13. 13. Google Analytics for detailed web insights
  14. 14. Helps recognize patterns in financial reports
  15. 15. To make complex data simpler
  16. 16. Online tools enable chunking Big data
  17. 17. Data is converted into meaningful stories
  18. 18. Visual techniques To Represent Data
  19. 19. Re-design conventional pie-charts
  20. 20. Translate data into real-world objects
  21. 21. Scale shapes to depict numbers
  22. 22. Use suitable fonts to uplift headings
  23. 23. Add more visual elements than text
  24. 24. Re-create maps for location-based data
  25. 25. Define change with colors and gradients
  26. 26. Highlight statistics, make them bigger
  27. 27. Use photographs to personalize data
  28. 28. Add lines for networks and timeline