Process Book Tiffany Peng | Data Visualization | Core Design III
Contents 2
Rationale
3-6
Research + Analysis
7-10
Conceptualization + Development
11-15
Variation + Refinements
16
Final Image
1
Rationale For this assignment, I decided to compare mean years of schooling with Human Development index (HDI), Unemployment Rate(aged 15 years and older) and Homicide Rate (per 100,000) in 16 countries. For highlighting the contrast, I chose the top and bottom 8 countries with the highest and lowest mean years of schooling and I discovered that most of countries with the lowest mean years of schooling are from Africa. The poor educational opportunities in these countries lead to a relatively low human development index, high unemployment and homicide rate. The goal of this data visualization is to edcuate people about the current educational situation in Africa and encourage them to participate in helping and improving education in Africa. My main audience for this data visualization is young adults who are aware of educational problems in Africa (age range: 18-25). The reason for choosing young adults as the main audience is because young adults are becoming more aware of world issues and would be willing to take actual action to solve current issues. At the same time, they are active online and on social media. Young adults are more likely to share information online and as a result, broader Introduction | Data Visualization | Core Design Studio III
audiences are likely to view data visualization online. The secondary audience is people who are unaware of educational problems in Africa; the data visualization will educate and reestablish their knowledge of African education. The affected audience is middle school students who will possibly view this data visualization online but their understanding and usage of this data visualization will be limited to school assignments. In order to reach these audiences better, I want the data visualization to be straightforward, understandable and also have an emotional connection with the viewers. For highlighting the contrast between countries with the highest and lowest years of schooling, I used stacked column graphs because they display data in a highly contrasting and organized way. To make the data visualization look visually interesting, I combined all the column graphs in one circular shape with a book icon in the center. Therefore audiences can easily understand the theme of this poster by comparing the relationship between education and quality of life factors.
The circular shape looks simple and contemporary. The main colour palette (blue, gray and black) reflects the same contemporary feeling as well. When the audiences look at the poster, what draws their attention first will be the blue section in the center. The colour blue has been used in many educational poster and school websites, and it is always associated with education and intelligence; it gives people a sense of freshness. But when the audiences connect blue to dark gray and black, the heavy contrast gives people the sense of seriousness and heaviness. The dark colours also suggest that the poster is related to negative aspects of society. As for font choice, I used a sans serif font because sans serif fonts give people a sense of modernity and simplicity, which matches the feeling that I wanted to express in this poster. After exploring various sans serif fonts, I finally decided to use Futura because Futura is larger, bolder and sharper than other typefaces. It catches people’s attention and it also conveys serious feeling.
2
Research + Analysis Mean Years of Schooling
HDI
Unemployment Rate
Homicide Rate
Countries
Mean Years of Schooling
HDI
Unemployment Rate
Homicide Rate
Countries
Data Sheet When I looked through the table of HDI Indicators By Country 2014, the category of Mean Years of Schooling drew my attention because most of the countries with low years of schooling are from Africa. I ranked countries based on their years of schooling and explored their relationship with the Human Development Index (HDI), the Unemployment Rate (aged 15 years and old) and the Homicide Rate (per 100,000).
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3
Research + Analysis Chosen Countries HDI Indicators By Country 2014 Countries
Mean Years of Schooling
Human Development Index (HDI)
Unemploymen Homicide Rate t Rate (% aged (Per 100,000) 15 years and older)
Germany
12.95
0.911
5.5
0.81
United States
12.94
0.914
7.4
4.67
12.8
0.933
5.2
1.08
Norway
12.63
0.944
3.1
2.25
Israel
12.54
0.888
6.8
2
Australia
New Zealand
12.5
0.91
6.9
0.88
Lithuania
12.38
0.834
13.2
6.38
Czech Republic
12.32
0.861
7
0.79
Africa
Sudan
3.41
0.473
19.8
24.1
Africa
Sierre Leone
2.88
0.374
2.8
14.91
Arab
Yemen
2.51
0.5
16.2
4.24
Africa
Ethiopia
2.41
0.435
17.5
25.48
India
Bhutan
2.3
0.584
2
1
Africa
Mali
1.99
0.407
7.3
8
Africa Africa
Guinea
1.58
0.392
1.7
22.51
Burkina Faso
1.25
0.388
2.3
17.96
I decided to choose the top and bottom 8 countries with the highest and lowest mean years of schooling, and compare their HDI, unemployment and homicide rate. Top 8 countries with the highest years of schooling:
Germany, United States, Australia, Norway, Israel , New Zealand, Lithuania and Czech Republic. Bottom 8 countries with the lowest years of schooling: Sudan (Africa), Sierre Leone (Africa), Yemen (Arab), Ethiopia (Africa), Bhutan (India), Mali (Africa), Guinea (Africa), and Burkina Faso (Africa). By comparing countries with highest and lowest mean years of schooling, the data shows that poor educational opportunities in Africa lead to a relatively low human development index, and high unemployment and homicide rates. Goal of data visualization: 1. To educate people about educational problems in Africa. 2. Encourage people to participate in helping and improving the quality of education in Africa.
Introduction Research + Analysis | Data Visualization | Data Visualization | Core Design | Core Design Studio III Studio III
4
Persona
Julie Mitter | 21 | Female College Student Studying International Sociology Works as a volunteer in a local organization Spends 4 hours per day on social media Lives in Berkeley, America Julie is aware of educational problems in Africa and she wants to participate in improving African education. She also wants to encourage people around her to be aware of the current situation in Africa. Research + Analysis | Data Visualization | Core Design Studio III
Thomas Hooper | 40 | Male Software Developer Income: $60,025 Interested in world news Lives in Vancouver with his family Thomas views the data visualization online when he searches world news. After viewing the data visualization, Thomas starts to be aware of educational problems in Africa. s
Charlie Chambers | 13 | Male Middle school student Lives in London, UK Currently taking social science course Charlie is currently working on a social science group project that is related to educational problems in Africa. He finds the data visualization online when he does research.
5
Research + Analysis
Data Visualization Examples I started my exploration by searching data visualization examples online and I discovered that some successful data visualizations used circular elements to show contrasts between different categories. As a viewer, I think combining data in a circular shape is easy for the audiences to understand and I want to use a similar visual strategy in my own design. Also, I found out that lots of educational posters and university websites used blue as their main colour palette. Blue is often associated with education, intelligence and freshness, which inspired me to pick my colour palette.
Research + Analysis | Data Visualization | Core Design Studio III
6
Conceptualization
Layout Since my data visualization will include data from 4 categories, my sketches mainly focused on combining all the information together in a contrasting way.
Conceptualization + Development | Data Visualization | Core Design Studio III
7
Conceptualization
Layout My further exploration was mainly focused on stacked column graphs because they combined all the categories of data together and it is easy to see contrast between each country. I played with the layout and placed column graphs in different shapes, so the data visualization looks more visually appealing.
Conceptualization + Development | Data Visualization | Core Design Studio III
8
Development Mean Years of schooling compared to Homuan development index (HDI), Unemployment Rare (% aged 15 years and older) and Homocide Rate
Mean Years of schooling compared to Homuan development index (HDI), Unemployment Rare (% aged 15 years and older) and Homocide Rate
Homicide Rate Unemployment Rate (% aged 15 years and older)` Human Development Index (HDI) Mean Years of Schooling
Mean Years of schooling compared to Homuan development index (HDI), Unemployment Rare (% aged 15 years and older) and Homocide Rate
Homicide Rate (Per 100,000)
Unemployment Rate (% aged 15 years and older)
Human Development Index (HDI)
Mean Years of Schooling
Homicide Rate Unemployment Rate (% aged 15 years and older)` Human Development Index (HDI) Mean Years of Schooling
Mean Years of schooling compared to Homuan development index (HDI), Unemployment Rare (% aged 15 years and older) and Homocide Rate
Homicide Rate (Per 100,000) Unemployment Rate (% aged 15 years and older) Human Development Index (HDI) Mean Years of Schooling
12.95 Years
Germany
United States
12.94
United States
Australia
12.8
Australia
Norway
12.63
20
Norway
Israel
12.54
10
Germany
New Zealand
Israel
Lithuania
Costa Rica Bosnia and Herze Mongolia Saint Lucia Portugal Bhutan Mali Guinea
10
20
30
40
Czech Republic Sudan Sierre Leone
Human Development Index (HDI)
Mean Years of Schooling
50
Germany
0
Homicide Rate (Per 100,000) Unemployment Rate (% aged 15 years and older)
40 30
8.37
0
8.33 8.31 8.28 8.25
Yemen 2.41
Ethiopia
2.3
Bhutan Mali Guinea
1.99 1.58 1.25
Burkina Faso
Somalia
Digital Layout
Homicide Rate
Unemployment Rate (% aged 15 years and older)`
Human Development Index (HDI)
The exploration of digital layout also focused on different placements of stacked column graphs but I also tried to explore other graph tools, such as the pie graph and bar graph tools. I eventually decided to develop the first and fourth variation further. The first variation shows the relationship between education and quality of life factors clearly and the fourth variation looks visually interesting.
Mean Years of Schooling
Germany
Conceptualization + Development | Data Visualization | Core Design Studio III
United States
Australia
Norway
Israel
Costa Rica Bosnia and Herze Mongolia
Saint Lucia
Portugal
Bhutan
Mali
Guinea
Burkina Faso
Somalia
9
Development The Relationship Between Education and Quality of Life
unemployment rate (% aged 15 years and older) and
15 years
Countries with the highest mean years of schooling: Germany United States Australia Norway Israel New Zealand Lithuania Czech Republic
Israel
United Norway Australia States Germany
30 %
9
Mean Years of Schooling
6
Human Development Index (HDI)
3
Burkina Faso Guinea
Mali
Bhutan Ethiopia Yemen
Sierre Leone
Sudan
Unemployment Rate (% aged 15 years and older)
0
10
Un ited Sta tes
Germany
10
1.9 9
1.9 9
2.3
Bhutan (India) 0
10
20
30
%
0
Israel
Sudan (Africa)
Ne wZ eal and
2.3 0
Years
2.41
.5 12
12
.5
12
8
ia an hu Lit
1 2.3 2
3.4 1
.38
0
Sie rr (Af a Leo rica ne )
10
20
20
30
30
40
12. 5
1 2.5
40 %
1.9 9
2.3
Bhutan (India)
10
20
30
40 % Ma li Bhutan 10
20
30
1
2.8
Czech lic Repub
ia an hu Lit
20
10
0
12.54
40
20
2.5
Czech lic Repub
10
0
12.54
Mean Years of schooling
n me ) Ye frica (A
way Nor
12.63
50
12.63
2.4 1
pia Ethio ca) (Afri
10
.8 12 .38 12 2 12.3
3.41
2.8 8
education in Africa to encourage people to participate in improving
%
50
40
The data visualization is based on HDI Indicators By Country 2014
Sudan (Africa)
%
50
The data visualization is based on HDI Indicators By Country 2014
0
en m Ye
The goal of this data visualization is to raise awareness about
.38
0
Sie rr (Af a Leo rica ne )
a ali str Au
12 .94
20
12.95
10
0
12.54
Un ited Sta tes
Germany
8 1.5
ia Ethiop
Countries with the loweest mean years of scholing: Sudan (Africa) Sierre Leone (Africa) Yemen (Africa) Ethiopia (Africa) Bhutan (India) Mali (Africa) Guinea (Africa) Burkina Faso (Africa)
1.25
1 2.3 2
3.4 1
0
Development Index (HDI), unemployment rate (% aged 15 years and older) and Homicide countries. The selected countries are:
1
10
12
8
20
This data visualization compares 20 countries’ means years of schooling with their Human rate (per 100,000), to explore how education can influence life quality factors in different
2.5
Faso kina Bur
a ine Gu
2.8
n me ) Ye frica (A
The Relationship between Mean Years of Schooling and life quality factors Countries with the highest mean years of schooling: Germany United States Australia Norway Israel New Zealand Lithuania Czech Republic
pia Ethio ca) (Afri
30
Human development index (HDI)
way Nor
way Nor
12.63
2.4 1
Years
12 .94
8 1.5
.8 12
.8 12
50 %
12.95
1.25
Homicide rate (per 100,000)
40
Homicide Rate (Per 100,000)
Gu (Af inea ric a)
12 .94
8 1.5
30
Un ited Sta tes
Germany
Homicide rate (per 100,000)
0
12.95
1.25
Human Development Index (HDI)
Sie rre
10
Leo ne
Czech lic Repub
ia an hu Lit
20
Mean Years of Schooling 30
Human Development Index (HDI) Unemployment Rate (% aged 15 years and older) Homicide Rate (Per 100,000)
The data is based on HDI Indicators By Country 2014
20
a ali str Au
20
Mean Years of Schooling
education there.
Faso kina Bur (Africa)
a ine a) Gu fric (A
0
about education in Africa to encourage people to
Unemployment Rate (% aged 15 years and older)
20
10
The goal of this data visualization is to raise awareness participate in improving education there.
Faso kina Bur (Africa)
a ine a) Gu fric (A
Homicide Rate (per 100,000)
30 %
a ali str Au
Countries with the loweest mean years of scholing: Sudan (Africa) Sierre Leone (Africa) Yemen (Africa) Ethiopia (Africa) Bhutan (India) Mali (Africa) Guinea (Africa) Burkina Faso (Africa)
Czech New Republic Lithuania Zealand
12
Israel
countries. The selected countries are:
Ne wZ eal and
can influence life quality factors in different
Gu (Af inea ric a)
Homicide rate (per 100,000), to explore how education
This data visualization compares 20 countries’ means years of schooling with their human development Index (HDI), unemployment rate (% aged 15 years and older) and homicide rate (Per 100,000). Most of countries with short mean years of schooling are from Africa, the poor educational opportunities lead to their relevant high unemployment and homicide rate. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
%
of schooling with their Human Development Index (HDI),
Israel
This data visualization compares 20 countries’ means years
The Relationship Between Mean Years of Schooling and Life Quality Factors
Ne wZ eal and
The Relationship between Mean Years of Schooling and life quality factors
40
Sudan
Digital Layout Exploration of different compositions, placements, icons and colours.
50
Conceptualization + Development | Data Visualization | Core Design Studio III
10
Development
First Draft I placed column graphs in a circular shape to highlight the contrasts between each category. In terms of colour choice, I chose a dark background to express the serious and heavy feeling in my main topic. Colours of categories are chosen based on their meanings; blue represents intelligence, dark red represents violence. The advice that I received from class critiques were reducing word spacing between the title and description text, and fixing a problem of back and forth reading. Also, the colour palette was not working well because there was not enough contrast.
Conceptualization + Development | Data Visualization | Core Design Studio III
11
Variation Initial
1
2
3
4
5
6
Final Color Palette
Colour Selection During the exploration of colour palettes, I felt restricted when choosing colours for each specific category. Therefore, I decided to give myself more opportunities by using various colour palettes, rather than only focusing on their colour symbolisms. I started exploring bright colours, such as yellow, to represent the category of education, then incorporated it with a dark colour palette to express the serious and heavy feel of the information. Variation + Refinement | Data Visualization | Core Design Studio III
12
Development The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
Gu (Af inea ric a)
1.9 9
2.3
20
30
30
40 %
40
Sudan (Africa)
The data visualization is based on HDI Indicators By Country 2014
50
%
%
0
.5
.5
20
30
Sudan (Africa)
Israel
Bhutan (India)
10
20
%
Israel
40 %
Ne wZ eal and
1.9 9
2.3
0
12
12
Gu (Af inea ric a) Bhutan (India)
10
20
30
40 %
1.9 9
2.3
Bhutan (India)
10
20
30
0
12
12
Ne wZ eal and
Ne wZ eal and
%
0
.5
40 %
1.9 9
2.3
Bhutan (India)
10
20
30
%
Israel
40 %
1.9 9
2.3
Gu (Af inea ric a)
Gu (Af inea ric a)
Gu (Af inea ric a) Bhutan (India)
10
20
30
0
12
1
20
ia an hu Lit
Czechblic Repu
10
30
The data visualization is based on HDI Indicators By Country 2014
40
Sudan (Africa)
The data visualization is based on HDI Indicators By Country 2014
50
%
The data visualization is based on HDI Indicators By Country 2014
50
The data visualization is based on HDI Indicators By Country 2014
50
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
This data visualization compares 20 countries’ Mean Years of Schooling with their Human Development Index (HDI), Unemployment Rate (% aged 15 years and older) and Homicide Rate (per 100,000). Most of the countries with low mean years of schooling are from Africa, and these poor educational opportunities lead to their relative high unemployment and homicide rates. The goal of this data visualization is to raise awareness about education in Africa to encourage people to participate in improving education there.
1.9 9
2.3
10
20
20
20
20
30
30
30
30
40
40
40
40
50
Variation + Refinement | Data Visualization | Core Design Studio III
%
50
The data visualization is based on HDI Indicators By Country 2014
Sudan (Africa)
%
50
The data visualization is based on HDI Indicators By Country 2014
Sudan (Africa)
%
50
%
0
Israel
.5 12
Ne wZ eal and
12
.5
0
Sie rr (Af a Leo rica ne )
30
Sudan (Africa)
.38
Ne wZ eal and
Bhutan (India)
10
20
Israel
30
%
0
40 %
1.9 9
2.3
Bhutan (India)
10
Gu (Af inea ric a)
Gu (Af inea ric a) 20
%
0
12
Ne wZ eal and
12
40 %
1.9 9
2.3
Bhutan (India)
10
20
Israel
30
%
0
.5
40 %
1.9 9
2.3
Bhutan (India)
10
Gu (Af inea ric a)
Gu (Af inea ric a) 20
30
%
Israel
40 %
1.9 9
2.3
0
12
Ne wZ eal and
1 2.3 2
3.4 1
20
12.54
12
8
20
The data visualization is based on HDI Indicators By Country 2014
10
0
ia an hu Lit
way Nor
12.63
Bhutan (India)
.8 12
1
2.8
n me ) Ye frica (A
Czechblic Repu
12 .94
8 1.5
Years
0
10
12.95
1.25
2.5
1 2.3 2
3.4 1
Sie rr (Af a Leo rica ne )
Un ite dS tat es
Germany
2.4 1
12
8
.38
pia Ethio ca) (Afri
1
2.8
20
2.5
ia an hu Lit
10
12.54
2.4 1
Czechblic Repu
way Nor 0
10
10
a ali str Au
8 1.5
n me ) Ye frica (A
10
12 .94
12.63
20
20
0
12.95
1.25
a ali str Au
30
Germany
Years pia Ethio ca) (Afri
.38
0
Sie rr (Af a Leo rica ne )
ea in a) Gu Afric (
Homicide Rate (per 100,000)
Un ite dS tat es
.8 12
12.54
1 2.3 2
3.4 1
20
10
0
ia an hu Lit
way Nor
12.63
1
Czechblic Repu
Unemployment Rate (% aged 15 years and older)
10
.8 12
2.5
12
8
n me ) Ye frica (A
10
12 .94
8 1.5
2.8
Faso kina Bur (Africa)
Human Development Index (HDI)
20
0
12.95
1.25
Years
0
Sie rr (Af a Leo rica ne )
Germany
2.4 1
.38
pia Ethio ca) (Afri
1
1 2.3 2
3.4 1
20
10
12.54
2.5
12
8
n me ) Ye frica (A
ia an hu Lit
way Nor 0
2.4 1
pia Ethio ca) (Afri
%
2.8
Un ite dS tat es
a ali str Au
8 1.5
12.63
12.54
n me ) Ye frica (A
Sudan (Africa)
Czechblic Repu
12 .94
Years
0
10
20
10
0
1
1 2.3 2
3.4 1
ea in a) Gu Afric (
Homicide Rate (per 100,000)
10
.8 12
way Nor
12.63
2.5
pia Ethio ca) (Afri
12
8
.38
Unemployment Rate (% aged 15 years and older)
0
12.95
1.25
.8 12
2.4 1
Years
Sie rr (Af a Leo rica ne )
Germany
a ali str Au
12 .94
8 1.5
2.8
Un ite dS tat es
0
12.95
a ali str Au
Gu (Af inea ric a)
0 1.25
ea in a) Gu Afric (
Homicide Rate (per 100,000)
10
Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
20
Israel
Germany
Unemployment Rate (% aged 15 years and older)
Ne wZ eal and
ea in a) Gu Afric (
Homicide Rate (per 100,000)
Un ite dS tat es
30 %
Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
20
.5
Unemployment Rate (% aged 15 years and older)
10
30 %
Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
20
.5
ea in a) Gu Afric (
Homicide Rate (per 100,000)
40 %
30 %
30 % Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
30
30 % Mean Years of Schooling
Unemployment Rate (% aged 15 years and older)
20
2.5
0
Sie rr (Af a Leo rica ne )
20
50
.38
1 2.3 2
n me ) Ye frica (A
10
10
0
12.54
2.4 1
pia Ethio ca) (Afri
12
8
3.4 1
ia an hu Lit
Czechblic Repu
way Nor
12.63
40 %
.8 12
20
10
0
12.54
1
2.8
0
Sie rr (Af a Leo rica ne )
12 .94
8 1.5
Years
.38
1 2.3 2
n me ) Ye frica (A
10
way Nor
12.63
2.5
12
8
3.4 1
ia an hu Lit
Czechblic Repu
Un ite dS tat es
Germany
12.95
1.25
.8 12
2.4 1
pia Ethio ca) (Afri
1
%
20
2.5
n me ) Ye frica (A
Sudan (Africa)
8 1.5
2.8
0
Sie rr (Af a Leo rica ne )
12 .94
Years
.38
1 2.3 2
40
40
10
0
12.54
2.4 1
pia Ethio ca) (Afri
n me ) Ye frica (A
n me ) Ye frica (A
10
way Nor
12.63
20
10
12
8
3.4 1
ia an hu Lit
Czechblic Repu
10
0
12.95
1.25
.8 12
way Nor 0
2.8
0
Sie rr (Af a Leo rica ne )
30
%
.38
1 2.3 2
20
Sudan (Africa)
Years
1
12
8
3.4 1
ia an hu Lit
Czechblic Repu
10
12.54
2.5
2.8
0
Sie rr (Af a Leo rica ne )
12.63
2.4 1
pia Ethio ca) (Afri
.38
1 2.3 2
3.4 1
20
10
0
12.54
1
12
8
12 .94
8 1.5
.8 12
way Nor
12.63
2.5
pia Ethio ca) (Afri
2.8
Years
Germany
20
0
12.95
1.25
ea in a) Gu Afric (
Homicide Rate (per 100,000)
Un ite dS tat es
a ali str Au
8 1.5
.8 12
2.4 1
Years
12 .94
Unemployment Rate (% aged 15 years and older)
10
a ali str Au
8 1.5
Germany
Faso kina Bur (Africa)
Human Development Index (HDI)
20
0
12.95
1.25
Un ite dS tat es
a ali str Au
12 .94
a ali str Au
a ali str Au
12.95
ea in a) Gu Afric (
Homicide Rate (per 100,000)
0
0 1.25
Germany
Unemployment Rate (% aged 15 years and older)
10
%
Un ite dS tat es
Germany
ea in a) Gu Afric (
Homicide Rate (per 100,000)
Un ite dS tat es
Israel
10
Unemployment Rate (% aged 15 years and older)
10
Israel
ea in a) Gu Afric (
Homicide Rate (per 100,000)
Ne wZ eal and
Unemployment Rate (% aged 15 years and older)
Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
20
.5
20
30 %
Mean Years of Schooling
Faso kina Bur (Africa)
Human Development Index (HDI)
20
Ne wZ eal and
ea in a) Gu Afric (
30 %
Mean Years of Schooling
Faso kina Bur (Africa)
.5
Unemployment Rate (% aged 15 years and older) Homicide Rate (per 100,000)
30 %
Mean Years of Schooling Human Development Index (HDI)
Faso kina Bur (Africa)
Human Development Index (HDI)
30
30 %
30 % Mean Years of Schooling
Czechblic Repu
ia an hu Lit
40
The data visualization is based on HDI Indicators By Country 2014
Sudan (Africa)
%
50
The data visualization is based on HDI Indicators By Country 2014
13
Variation The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
The Relationship Between Mean Years of Schooling and Quality of Life Factors
- Futura, 25 pt
- Adobe Caslon Pro, 25 pt
- Gill Sans, 25 pt
The Relationship Between Mean Years of Schooling and Quality of Life Factors
- Baskerville, 25 pt
The Relationship Between Mean Years of Schooling and Quality of Life Factors - Lucida Grande, 25 pt
- Lucida Grande, 25 pt
The Relationship Between Mean Years of Schooling and Quality of Life Factors
- Myriad Pro, 25 pt
Variation + Refinement | Data Visualization | Core Design Studio III
Font Choice As for font choice, sans serif fonts look more modern than serif fonts and they match with my concept better. After trying different sans serif fonts, I decided to use Futura. Futura looks bolder and sharper compared with other fonts. It gives people a sense of seriousness but it also catches viewers’ attention.
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Refinement
Test Prints I did some test prints to help me adjust compositions, word spacing and colour palette.
Variation + Refinement | Data Visualization | Core Design Studio III
15
Final Image
Final Poster After the final critique and more explorations of colour palettes, I eventually decided to use blue, gray, and black for my final poster. The reason for choosing blue as my main colour palette is because blue is widely used in posters with educational themes, and it also demonstrated a strong contrast between dark black and gray. The new colour has stronger emotional connection with the audience by expressing the sense of seriousness and heaviness of the content. At the same time, the colour palette also brings up the contrast between each category. To make the poster more accessible, I removed the information of countries with longest and shortest years of schooling, and replaced it with colour labels to indicate each category, so it helps viewers to understand the data visualization. I also reduced word spacing in the description text and distance between words and the border to make the whole composition look more organized. Final Image | Data Visualization | Core Design Studio III
16