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Visual Data Representation Techniques: Combining Art and Design
What is data visualization?
Creatively representing data using design elements to enhance data readability and understanding.
Why represent data visually?
To ease data interpretation for all
94% content viewership depends on images
90% information transmitted to brain is visual
12% growth in web traffic with infographics
Sharing visual data is faster
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To ease the task of trend spotting
Google Analytics for detailed web insights
Helps recognize patterns in financial reports
To make complex data simpler
Online tools enable chunking Big data
Data is converted into meaningful stories
Visual techniques To Represent Data
Re-design conventional pie-charts
Translate data into real-world objects
Scale shapes to depict numbers
Use suitable fonts to uplift headings
Add more visual elements than text
Re-create maps for location-based data
Define change with colors and gradients
Highlight statistics, make them bigger
Use photographs to personalize data
Add lines for networks and timeline