ºÝºÝߣ

ºÝºÝߣShare a Scribd company logo

Data visualization 101

?
?
J
jexchan

This document provides an overview of data visualization concepts and best practices. It discusses the common workflow of requiring, parsing, filtering, mining, representing, refining and interacting with data. It also covers graphic vocabulary elements like length, slope, size, intensity, color and shape. Common and uncommon chart types are presented like bar charts, treemaps and word clouds. Best practices around accurate, clear and effective visualization are recommended. Finally, popular tools for design, programming and implementing visualizations are listed.

1 of 59
Downloaded 14 times
Data Visualization 101 weibo @jexchan Thursday, January 10, 13
Thursday, January 10, 13
2008 Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
United States debt http://usdebt.kleptocracy.us/ Thursday, January 10, 13
http://goo.gl/nwkx Thursday, January 10, 13
http://goo.gl/TXvDW Thursday, January 10, 13
Thursday, January 10, 13
¡° Data is the new oil ¡± http://goo.gl/9a1wv Thursday, January 10, 13
Thursday, January 10, 13
Require Parse Filter Mine Represent Re?ne Interact Thursday, January 10, 13
Require Parse Filter Mine workflow Represent Re?ne Interact Thursday, January 10, 13
Graphic Vocabulary Thursday, January 10, 13
Length Thursday, January 10, 13
Length Slope Thursday, January 10, 13
Length Slope Size Thursday, January 10, 13
Length Slope Size Intensity Thursday, January 10, 13
Length Slope Size Intensity Color Thursday, January 10, 13
Length Slope Size Intensity Color Shape Thursday, January 10, 13
Length Slope Size Accurate Intensity Color Shape Thursday, January 10, 13
Choose the right type of display The common type of charts Thursday, January 10, 13
Thursday, January 10, 13
Category A tooltip 6000 Category B Category C 6000 Category D 6000 Y Axis label Category E 6000 6000 6000 Jan Feb Mar Apr May Jun X Axis label Source: path of source data Thursday, January 10, 13
Percentage & Description Category A Category B Category C Source: path of source data Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
http://www.extremepresentation.com/uploads/images/choosing_a_good_chart.jpg Thursday, January 10, 13
Choose the right type of display The Uncommon type of charts Thursday, January 10, 13
Treemap Thursday, January 10, 13
Map Thursday, January 10, 13
Wordle Thursday, January 10, 13
Good . Bad . Pitfall . Principles Best practices Thursday, January 10, 13
Thursday, January 10, 13
40% 60% Female Male XX´óѧÄÐÅ®±ÈÀý Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
http://goo.gl/Cqq3L Thursday, January 10, 13
£¨39%£© RIM £¨21.2%£© Other £¨ Apple 19.5%£© £¨9.8%£© Palm £¨ Motorola 7.4%£© £¨ Nokia 3.1%£© Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Thursday, January 10, 13
Visualization Tools Thursday, January 10, 13
Design Tools Programming Thursday, January 10, 13
Data visualization VS Infographics Thursday, January 10, 13
Adobe Illustrator Thursday, January 10, 13
Microsoft Excel Thursday, January 10, 13
Tableau Thursday, January 10, 13
d3.js http://d3js.org Thursday, January 10, 13
processing http://processing.org Thursday, January 10, 13
R Thursday, January 10, 13
NYTimes Visualization http://goo.gl/ysvS Thursday, January 10, 13
Important Telling Stories http://goo.gl/aLv9t Thursday, January 10, 13
Thanks Next Topic: Visualization Implementation Thursday, January 10, 13

More Related Content

Data visualization 101