Visual Data Representation Techniques Combining Art and Design

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

Upload infographics on Visual.ly and Pinterest

Get an infographic made now

Use Slideshare for business presentations

Get a presentation created now

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