data visualization done differently

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Data Visualization Done Differently Jonathan Schwabish @jschwabish OPRE Report # 2021-120 Copyright © PolicyViz, LLC and Jonathan Schwabish 2013-2021. All Rights Reserved. These slides and the notes therein contain confidential, privileged and/or copyrighted information for the sole use of the original purchaser. No part of this publication may be reproduced, stored, transmitted, or shared in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of me, the author. Any use, distribution or disclosure to others is strictly prohibited. Federal copyright laws prohibit the disclosure or other use of this information without express written permission.

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Data Visualization Done DifferentlyJonathan Schwabish @jschwabish
OPRE Report # 2021-120 Copyright © PolicyViz, LLC and Jonathan Schwabish 2013-2021. All Rights Reserved. These slides and the notes therein contain confidential, privileged and/or copyrighted information for the sole use of the original purchaser. No part of this publication may be reproduced, stored, transmitted, or shared in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of me, the author. Any use, distribution or disclosure to others is strictly prohibited. Federal copyright laws prohibit the disclosure or other use of this information without express written permission.
Photo Courtesy: Fassforward Consulting Group
Today’s Plan • Lecture (30 minutes) • Questions and Answers • Data Visualization Redesigns, Tools, and
More
Preattentive Processing
Cognitive operations that can be performed prior to focusing attention on any particular region of an image.
…The stuff you notice right away.
Why is it easy to find Waldo on the next slide?
(Please use the chat window)
Shape
Actual Forecast
The Once And Present King Offensive production of attackers in the "Big Five" soccer leagues
l 5 Messi
<ii 0 C>
5::­ <ii c: Cl) 3,280 other forwards Q. I and midfielders c: 0 z
0 0 --~~~~~~~~~~~~~~~--;-~~~~~~
Season
Values for 2014-15 do not include the UEFA ~tn 11 Only rnc'Ldtng attackers who've played at least 50 games total and 20 111 a given season
~ FIVEIHIRTYEIGHT BASED DH OAIA FROMOPIA
Test with a Scatterplot
I Poor rewards • Asia • Europe • Latin America
Change in variability of climate and GDP per person • Middle East & North Africa • North America • Oceania • Sub-Saharan Africa
30 .&
Australia
• UAE
Source: "Climate models predict increasing temperature variability in poor countries", by Sebastian Bathiany, Vasilis Dakos, Marten Scheffer and Timothy M. Lenton, Science Advances, May 2018
A B C D E F G
A B C D E F G
A B C D E F G
Groups A and B are really important
A Groups A and B are really important
B C
E F G
How the cost of raising a child has changed
In 1960, the average middle-income family spent the equivalent of $202,020 in 2015 dollars to raise a child f rom infancy to age 17. Today, it costs $233,610 to raise a child, and much of the increase comes from child care and education expenses as women joined the workforce.
1960 2015
Health care ===~:::::
Data Visualization Best Practices
Reduce Clutter
Integrate Graphics & Text
Source: Washington Post
- 5% u
i: ~ - 10%
a: - 15%
"!!:I 15%
~ 11)%. i
m u 5% .s & 0% 6 .! u - 5% 1= ~ - 10% ... I.
- 15%
"'"'I ... iotl .,. I !' ""
l.
15 %
10%
5%
0%
- 5%
- 10%
- 15%
15%
11)%.
5%
0%
- 5%
- 10%
- 15%
a,; • I .. .I I'" I Ii '!"'"' I "'
"' • ioil I I II Ir• I ., If~ ., I .. . • .,,. ;.., I ., I I !I I•
0 2
., • '" "' .. . .. • • • I .. I I II t 111' l'"'ft
.. •, •, --.
-.. 4 5
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
0-axis thicker than data line
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
0-axis thicker than data line
Tick marks probably unnecessary
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
0-axis thicker than data line
Tick marks probably unnecessary
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
0-axis thicker than data line
Tick marks probably unnecessary
Abbreviations make comprehension difficult
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
0-axis thicker than data line
Tick marks probably unnecessary
Data points are outside the axis bounds Abbreviations make
comprehension difficult
Source: Klerman and Danielson, The Transformation of the Supplemental Nutrition Assistance Program, 2011.
Implied Impulse Response Functions for Different Caseloads (Percentage Change)
Adult Only No Cash
20 -----10 ---------------- -----0
-10
-20 1 2 3 4 5 6 1 2 3 4 5 6
Years Years
Adult Only No Cash
20 20
10 10
0 0
-10 -10
-20 -20 1 2 3 4 5 6 1 2 3 4 5 6
Welfare Cash Assistance SSI Cash Assistance
20 20
-----10 ------ 10
------- -----0 0
-10 -10
-20 -20 1 2 3 4 5 6 1 2 3 4 5 6
Years Years
Adult Only No Cash
20
10 -~ ~
____ ..... , ... - -..... ... .....
..... ..._ - - - -
-20 1 2 3 4 5 6 1 2 3 4 5 6
Years Years
100
90
80
70 ­
60
50
40
30
20
10
100
90
80
70 ­
60
50
40
30
20
10
100
90
80
70 ­
60
50
40
30
20
10
100
90
80
70 ­
60
50
40
30
100
90
80
70
60
50
40
30
20
10
us
Sweden
UK
France
Germany
Blogs? Books?
Techniques? Tools?
Schwabish, Jonathan (2021). Slide Deck Session 15: Data Visualization Done Differently - Child Welfare Evidence-Building Academy. OPRE Report 2021-120, Washington, DC: Office of Planning, Research and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services.
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