Visual Analysis: Four talking points

Andy CotgreaveSocial Content Manager, Tableau

@acotgreave

I .CHARTS

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)

Consider these numbers…

BlueOrang

e

Green Red

Consider these numbers…

Orange

Green Red

Consider these numbers…

Green Red

Consider these numbers…

Red

Consider these numbers…

From the Texas School for the Blind and Visually Impaired

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?

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

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

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