Presented by:

High Visibility: Using Data Visualization to Transform Data into Meaningful Information

Jeffrey A. Shaffer

Vice President, IT and Analytics, Unifund

Adjunct Professor, University of Cincinnati

www.DataPlusScience.com

@HighVizAbility

Compare and Contrast

• Title Format

• Three Dimensional

• Axis Labels on Angle

• Dark Gridelines

• No Data

• Can’t easily compare

• Color Choice

• Legend Space

Basic Proficient Advanced

1990 37 12 1

1992 41 16 2

1996 42 19 2

2000 21 3

2003 45 28 4

2005 44 31 5

2007 43 133 6

2009 43 33 6

2011 42 33 7

Bar Chart Issue

Visualization and Data Presentation

Hamilton County vs. Auditor’s Office

Same data but a completely different story

2008 2009 2010 2011

Hamilton County 6,080 5,404 4,717 4,638

Auditor's Office 97 98 89 84

97

84 6,080

4,638

-

20

40

60

80

100

120

140

-

2,000

4,000

6,000

8,000

Au

dito

r's Office

# of Em

plo

yee

s

Ham

ilto

n C

ou

nty

# o

f Em

plo

yee

s

Hamilton County vs. Auditor's Office(# of Employees)

23.7% Reduction in FTE's

13.4% Reduction in FTE's

Created by Jeffrey A. Shaffer

Since 2008, Hamilton County has reduced 1,442 full-time employees while the Auditor's Office has only eliminated 13.

Visualization and Data Presentation

Exercise:– Hamilton County has hired you to create an alternative

graph to argue the Auditor’s Position.

– Can you use this same data to tell a completely different story?

– Using the same data, design an alternative version for Hamilton County that tells a better looking story for them.

Visualization and Data Presentation

Alternative #1:

Use absolute # of employees instead of %

375 FTE vs. only 108 (nearly 3.5x more)

Graph total number reduced as comparison

Alternative #2:

Adjust time period

Maximizes reduction for Hamilton County

Since 2008 - 1,442 FTE reduced vs. only 13

Exercise:

Fonts and Design

Why does font style matter?

Calibri 32 Point Arial 32 Point

Verdana 32 Point

Georgia 32 Point

Garamond 32 Point Courier New 32 Point

Times New Roman 32 Point

Tahoma 32 Point

sans serif

serif

I Love You.

I Love You.

I Love You.

I Love You.I Love You.

I Love You.

I Love You.

I Love You.

I Love You.

i L o evU

I Love You.

I Love You!

I Love You.

Raster vs. Vector Graphics

Word Clouds(tag clouds)

www.Wordle.net

Bush State of the Union - 2002 Obama State of the Union - 2010

(left) Single-word phrases (unigrams) (right) Multiword phrases

Source: The Stanford Visualization Group (vis.stanford.edu)

"Without the Clutter of Unimportant Words“: Descriptive Keyphrases for Text Visualization

Jason Chuang, Christopher D. Manning, Jeffrey Heer

Tag cloud visualizations

online biography of the pop singer Lady Gaga

Word Clouds(let’s build one)

source: http://www.studentsreview.com/OH/UC_c.html

Tag cloud on Student Feedback of UC

Is this good or bad?

Geocoding

Longitude and Latitude

Longitude and Latitude Longitude and Latitude

Example Notation:

N 38° 41’ 7.8351” degrees, minutes, seconds decimal

N 38° 41.130586’ degrees, minutes decimal

38.68551° degrees decimal (use this # without ° for Tableau)

Batch Geocoding

http://www.Geocod.io2,500 free per day

Upload SpreadsheetGeocode via APIAdditional Data

=ACOS(COS(RADIANS(90-Lat1)) *COS(RADIANS(90-Lat2)) +SIN(RADIANS(90-Lat1)) *SIN(RADIANS(90-Lat2)) *COS(RADIANS(Long1-Long2))) *6371

To calculate distances in miles, substitute R (6371) with 3958.756 (and for nautical miles, use 3440.065)

Calculate Distancebetween latitude/longitude points

(problem - the world is not flat)

source: http://bluemm.blogspot.com/2007/01/excel-formula-to-calculate-distance.html

Make sure to connect online and stay in touch:

Follow on Twitter:@HighVizAbility

Connect with us on LinkedIn:www.linkedin.com/in/jeffreyshaffer/

Websites:www.dataplusscience.com/workshop.htmlwww.dataplusscience.com/http://makingdatameaningful.com/

Facebook:https://www.facebook.com/DataPlusScience

Email:JeffreyShaffer@gmail.com