how to visualize data effectively to promote diversity and...
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How to Visualize Data Effectively to PromoteDiversity and Inclusion
Yusaku Horiuchi (Dartmouth) In Song Kim (MIT)
APSA 2018
August 31, 2018
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 1 / 13
1 Hackathon: Data Visualization Team
2 Team Outputs
Suggested Datasets1 A replication package of Teele and Thelen (2018)https://www.dropbox.com/s/6v2sqzej2q4ifg0/2017_Teele_Thelen_Replication.zip?dl=0
2 A replication package of Carey et al (2018, forthcoming)https://doi.org/10.7910/DVN/GD1UEI
3 A replication package of Htun et al (2018, forthcoming)https://www.dropbox.com/sh/8mw8qocqx1r1d2g/AACtxWwVoYOf6IoUyknhlg4Ca?dl=0
4 College Scorecardhttps://collegescorecard.ed.gov/data/
5 National Center for Education Statisticshttps://nces.ed.gov/datatools/
6 Variety of Democracy (V-Dem) datasethttps://www.v-dem.net/en/data/data-version-8/
7 Quality of Government datasethttps://qog.pol.gu.se/data
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 2 / 13
InstructionsParticipants may either use the provided datasets or bring theirown to produce visualizations
Please submit your output as yourlastname.zip with the folderstructure described belowhttps://www.dropbox.com/sh/c4xpvaeminf7whw/AACTqsXsk8f7ZVHbemjgEjJUa?dl=0
Your folder structure1 /code/2 /data/3 /figure/
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 3 / 13
1 Hackathon: Data Visualization Team
2 Team Outputs
Participants
Yusaku Horiuchi (Dartmouth College)
In Song Kim (MIT)
Basak Traktas (Northwestern University)
Francesca Jensenius (University of Oslo)
Katherine Clayton (Dartmouth College )
John Carey (Dartmouth College)
Tom Paskhalis (London School of Economics)
Selina Hofstetter (London School of Economics)
Jim Cupples (NationBuilder)
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 4 / 13
Gender Gaps in Perceptions about Publication in PA
−0.427**−0.427**(0.139)(0.139)
+0.038+0.038(0.094)(0.094)
−0.388**−0.388**(0.126)(0.126)
+0.091+0.091(0.128)(0.128)
Likelihood of Submitting
Quantitative
Likelihood of Submitting
Qualitative
Likelihood of Publishing
Quantitative
Likelihood of Publishing
Qualitative
Man Woman Man Woman Man Woman Man Woman
Very unlikely
Somewhat unlikely
Neither likely nor unlikely
Somewhat likely
Very likely
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 5 / 13
Women’s Political Empowerment Over Time
Russia Turkey
Iran Japan Norway
Belgium China Germany
1900 1925 1950 1975 2000 1900 1925 1950 1975 2000
1900 1925 1950 1975 2000
0.25
0.50
0.75
1.00
0.25
0.50
0.75
1.00
0.25
0.50
0.75
1.00
Year
Wom
en p
oliti
cal e
mpo
wer
men
t ind
ex
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 6 / 13
Happiness isn’t associated with political empowerment
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Malaysia (1966−)
Mexico
Egypt
Uzbekistan
Not at all happy
Not very happy
Rather happy
Very happy
0.4 0.6 0.8
Women political empowerment index (V−DEM)
Fee
ling
of h
appi
ness
(W
orld
Val
ue S
urve
ys)
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 7 / 13
Sexual harassment training at UNM: Effects on sexism
0.30 0.35 0.40 0.45 0.50 0.55
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Effect of training men respondents
Benevolent sexism score (0−1)
Hos
tile
sexi
sm s
core
(0−
1)
0.30 0.35 0.40 0.45 0.50 0.55
0.20
0.25
0.30
0.35
0.40
0.45
0.50
Effect of training women respondents
Benevolent sexism score (0−1)H
ostil
e se
xism
sco
re (
0−1)
BlackHispanicNativeOtherWhite
N=50
●N=10
Benevolent sexism, e.g., “women should be rescued first”Hostile sexism, e.g., “women are too easily offended”
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 8 / 13
Contents of Lobbying:American Association of University Women
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 9 / 13
Finacial Flow and Politicians
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 10 / 13
Ethnic Composition and Earning
0.00
0.25
0.50
0.75
1.00
5th 10th 15th 20th 25th 30th 35th 40th 45th 50th 55th 60th 65th 70th 75th 80th 85th 90th 95th
Earnings by percentile
Per
cent
of s
tude
nt p
opul
atio
n by
rac
e/et
hnic
ity
Race
Asian
Black
Hispanic
White
Racial/ethnic composition of student populations by income, 10 years after enrollment
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 11 / 13
Voter Composition
Louisiana Registered Voters Louisiana OfficeholdersWhite Voters 1886758 White Officeholders 3312Black Voters 923866 Black Officeholders 1054Other & N/A Officeholders 148360 Other & N/A Officeholders 206
Louisiana Registered Voters Louisiana OfficeholdersMen 1330162 Men 3255Women 1628135 Women 1150Other & N/A Voters 687 Other & N/A Voters 185
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 12 / 13
Rate Professors!
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1 2 3 4 5Easyness of professor's taught course
Ave
rage
ove
rall
qual
ity o
f rat
ed p
rofe
ssor
Gender
●●
femalemale
Horiuchi (Dartmouth) and Kim (MIT) Data Visualization Hackathon, APSA 2018 13 / 13