dataviz_what_how_why

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 – a.v.abela@gmail.comsource: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