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.

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