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Human Development Index A Brief Introduction
Omar Sosa-TzecSchool of Informatics & ComputingIndiana University Bloomington
info i590 Data VisualizationInstructor: YY Ahn - T.A.: Vikas Rao PejaverIndiana University BloomingtonFall 2014
MotivationIs there a way to understand a complex situation?
To what extent is important to understand that situation?
What approach to follow?
Malala Yousafzai, Nobel Peace Prize 2014
Mexico
Rhetoric
Situation
Poverty GNI WB
Data
Country 1990 2000 2013
Canada 20,430 22,530 52,200
USA 24,150 36,090 53,670
Mexico 2,740 5,690 9,940
Norway 26,010 35,860 102,610
China 330 920 6,50
GNI per capita, Atlas method (current US$)GNI per capita (formerly GNP per capita) is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad.
Country 1990 2000 2013
Canada 1.25 1.23 1.237
USA 1 1 1
Mexico 1.43 6.09 7.99
Norway 9.70 9.11 9.04
China 1.63 2.74 3.5
Purchasing power parityPurchasing power parity conversion factor is the number of units of a country's currency required to buy the same amounts of goods and services in the domestic market as U.S. dollar would buy in the United States.
Mexico
Rhetoric
Situation
Education UNESCO
Data
Country 1999 2006 2013
Canada 225,050 N/A N/A
USA 2,069,033 2,639,006 3,308,494
Mexico 274,648 414,838 533,867
Norway 28,609 33,529 40,346
China N/A 5,622,795 9,135,720
Number of graduates from tertiary education
Country 1999 2006 2012
Canada 0.73% N/A N/A
USA 0.74% 0.88% 1.05%
Mexico 0.27% 0.37% 0.44%
Norway 0.64% 0.72% 0.80%
China N/A 0.43% 0.68%
Graduates in relation to population
According to income-based measures of poverty, 1.2 billion people live with $1.25 or less a day. However, according to the UNDP Multidimensional Poverty Index, almost 1.5 billion people in 91 developing countries are living in poverty with overlapping deprivations in health, education and living standards. And although poverty is declining overall, almost 800 million people are at risk of falling back into poverty if setbacks occur. Many people face either structural or life-cycle vulnerabilities.
UNDP Human Development Reports
Mexico
Rhetoric
Situation
Poverty GNI WB
Education UNESCO
Quality of Life HDI?
The World
Data
UNDP Human Development Reports
Human Development Index
A possible approach to comprehend the idea of “wealth” in a broader sense
UNDP Human Development Reports
Human Development Index
Related WorkWhat has been done?
What has caught my attention?
UNDP HDR Public Data Explorer
UNDP HDR Public Data Explorer
UNDP HDR “Map”
UNDP HDR “Map”
Worldmapper Population Cartogram
Worldmapper Population Cartogram
Inspiration: Visions of Humanity
Inspiration: Visions of Humanity
Other sources of inspiration
Approach, Designand Methods
Sketching
Ideation
D3 Examples
ObservationSearch
Data Collection
Re!lection & Analysis
Choropleth
Tweaking
Cartogram
Data
HTML/CSS
JSWeb brochure!
Sketches
Data
•HDI values from the UN website: [0,1]
•Education indexes from UNESCO: disregarded
•Total Population from the World Bank
•Primary dataset: HDI trends by UNDP HDR
•Data available: 1980,1990, 2005, 2008, 2010, 2012, 2013
•Secondary dataset: total population from WB
•Data available for all the HDI values
Initial digital sketching
Digital sketching
Digital sketching: visualization rationale
Results
Insights
From the visualization
•Besides China, India, and USA, the population from the rest of the world seems to increase slowly.
•It seems that everyone is doing it well. HDI seems to increase “linearly” for everyone, slowly though.
•In terms of HDI, India seems to be behind in the BRIC
•There are issues in the center of Africa
From making the visualization
•Tempted to use the cartogram for the HDI. Yet, I decided to follow the “population” as in a normal cartogram
•I wasn't pleased, and have to tweak the cartogram until I felt I was “not misleading”. There're rhetorical decisions in data/information visualization.
•Color, typography and composition are relevant.
•I found e!fective the use of small multiples, sparklines, linear representation for quantities, pre-attentive processing, layering, redundancy
http://tzec.com/hdi
The images here shown are property of their author, and some of them have been taken from the results of a web search. All of them are employed for mere academic purposes.
Thank you!
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