Data visualization is used to communicate data to people graphically and make complex data accessible. The main goal is to clearly convey information. Data visualization draws from many disciplines including graphic design, information design, journalism, data science, computer science, and statistics. Effective data visualization maintains data integrity, has a high data-to-ink ratio to convey as much data as possible clearly, and avoids non-informative elements that distract from the data. It can be done through both hand-crafted and generated tools.

1. A Brief Introduction
to Data Visualisation
Data Visualisation Melbourne

2. to communicate data to people graphically and in a
meaningful way. The main goal of data visualisation is to
clearly convey information and to make complex data
accessible.
def:

3. Science Art
Data Visualisation is interdisciplinary
Graphic Design
Information Design
Journalism
Data Science
Computer Science
Statistics
Creative Coding
Cartography

4. Big Data People?????Data Visualisation

5. “Data”

6. www.accurat.it/
Data vis = Art

7. http://guns.periscopic.com/
Data vis = Storytelling

8. hint.fm/wind/
Data vis = Spacial

9. Data vis = Product
Gephi
Fitbit NASA

10. Florence Nightingale

11. Edward Tufte
Data Integrity: do not distort what the data has to say
Data:ink ratio: visual elements convey as much data
as possible
Avoid chartjunk: non-informative elements that
distract from the data
Substance over methodology or production
SparklinesSmall Multiples

12. Hand-crafted Generated
Tools
Tableau
Highcharts
Many Eyes
Excel
R
Gephi (network)
CartoDB (mapping)
TileMill (mapping)
D3 (web)
Processing
Nodebox
Raphael
Illustrator
Pen & Paper

13. http://www.dear-data.com/

14. www.ri.id.au/closethegap