dataviz_what_how_why
TRANSCRIPT
The representation and presentation of data that exploits our visual perception abilities in order to amplify cognition.
Big Data is a broad term for large and complex
data sets for which traditional data processing tools
are not adequate. Big data is different from Internet,
although internet makes it easy to collect and share
the data.source: https://en.wikipedia.org/wiki/Big_data
Nature of the Beast : What Data Visualization Is and How You Can Tame It!
Shweta GupteOak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC, http://daac.ornl.gov)
What is Data Visualization?
90% of all the data in the world has been generated over the last two years, 2.5 Billion GB of new data is generated everyday.
1 TRILLION connected objects and devices on the planet generated data in 2015.
source: Sciencedaily.com/releases/2013/05/130522085217.htm
Why we care ?
Value of Data Visualization
Choose the right chart type
• Proximity
• Similarity
• Enclosure and Continuity
• ClosureSource:http://www.smashingmagazine.com/2014/03/28/design-principles-visual-perception-and-the-principles-of-gestalt/
Gestalt’s Principles of Perception
S
Good Data Visualization
Bad Data Visualization
• Display choices that distort the reality i.e pie
charts, 3D charts
• Variety for the sake of variety
• Too much information
• Poorly designed display choices that used noisy
patterns, colors and styles
• Encoding inaccurately quantitative data
• Using counts versus percentages when
comparing periods with different totals
• Inconsistent or reversed scales
Common Data Visualization Issues
Tools to Build Data Visualizations
Copyright 2006 A.Abela – [email protected]:Dr.Andrew Abela http://www.labnol.org/software/find-right-chart-type-for-your-data/6523/.
Source: http://www.colbertsuperpac.com/wordclouds/index.php
Source: http://www.microsiervos.com/archivo/azar/loto-estrella.html
1.Google Charts2. Modest Maps (mapping tool)3. Visual.ly4. Tableau5. d3.js and more….
Source:http://www.perceptualedge.com/example3.php
Visual access to huge amounts of data in easily
digestible visuals.
Well designed graphics are simplest and most
powerful.
Two basic types
•Exploration- find a story the data is telling you
•Explanation-tell a story to an audience
Represents large quantities of data
coherently
Helps the user to discern relationships in the data
Does not distort what the data has to say
Takes into account your audience’s expectations