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Visual Data Representation Techniques Combining Art and Design
The document discusses data visualization techniques that merge art and design to enhance data readability and understanding. It highlights the importance of visual representation, noting that a significant percentage of content viewership depends on images and visual data leads to quicker sharing and interpretation. Techniques include redesigning conventional charts, using real-world objects, and adding visual elements to make complex data more comprehensible.
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Introduction to data visualization as an art form that enhances readability and understanding.
Visual data representation eases interpretation, increases viewership by 94%, and enhances web traffic.
Visual techniques help in trend spotting and recognizing patterns, transforming data into meaningful stories.
Various creative methods such as redesigning charts, using colors, and incorporating visual elements to convey data.
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Visual Data Representation Techniques Combining Art and Design
- 1. Visual Data RepresentationTechniques: Combining Art and Design
- 2. What is datavisualization?
- 3. Creatively representing datausing design elements to enhance data readability and understanding.
- 4. Why represent datavisually?
- 5. To ease datainterpretation for all
- 6. 94% content viewershipdepends on images
- 7. 90% information transmittedto brain is visual
- 8. 12% growth inweb traffic with infographics
- 9. Sharing visual datais faster
- 10. Upload infographics onVisual.ly and Pinterest Get an infographic made now
- 11. Use Slideshare forbusiness presentations Get a presentation created now
- 12. To ease thetask of trend spotting
- 13. Google Analytics fordetailed web insights
- 14. Helps recognize patternsin financial reports
- 15. To make complexdata simpler
- 16. Online tools enablechunking Big data
- 17. Data is convertedinto meaningful stories
- 18. Visual techniques ToRepresent Data
- 19.
- 20. Translate data intoreal-world objects
- 21. Scale shapes todepict numbers
- 22. Use suitable fontsto uplift headings
- 23. Add more visualelements than text
- 24. Re-create maps forlocation-based data
- 25. Define change withcolors and gradients
- 26. Highlight statistics, makethem bigger
- 27. Use photographs topersonalize data
- 28. Add lines fornetworks and timeline