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