Big data debate foursteps slideshare

Visual Analysis: Four talking points

Andy CotgreaveSocial Content Manager, Tableau

@acotgreave

I .CHARTS

http://graphics-info.blogspot.hk/2012/09/malofiej-20-look-at-our-participation.html

1. Why viz?2. Engage3. Message4. Explore

1. Why viz?

Consider these numbers…

Property Value

Mean of x 9

Variance of x 11

Mean of y 7.5 (to 2 dp)

Variance of y 4.122 (to 3 dp)

Correlation 0.816 (3dp)

Linear regression y=3+.5x (3dp)


BlueOrang

e

Green Red


Orange

Green Red


Green Red


Red

From the Texas School for the Blind and Visually Impaired

http://www.tsbvi.edu/images/visual-system.jpg

2. Engage with value, not candy

http://www.informationisbeautiful.net/visualizations/colours-in-cultures/

What colour do Asians associate with Purity?



http://graphics-info.blogspot.hk/2012/09/malofiej-20-look-at-our-participation.html (Simon Scarr)




3. What’s your message?


Iraq: Deaths on the declineChange the message?






“When I am working on a problem, I never think about beauty. I only think about how to solve the problem. But when I have finished, if the solution is not beautiful, I know it is wrong.”

- R. Buckminster Fuller

4. Explore

Start

Formulate question

Acquire data

Transform into tables

Visualise

End

The traditional way

Let’s explore some data

http://benjaminbenben.com/2014/05/29/lastfm-to-csv/



@acotgreave

Big data debate foursteps slideshare

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