Global Lens is a novel information visualization system which helps people explore large-scale data from World Bank Datasets.

1. GlobalLens
SI 649 | Final Presentation | 2012.12.17
Wen | Jeff | Jiyoung | Lezhong | An

2. INTRODUCTION
● Data source
○ World Bank Groups’ open data library
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● Three Main Indicators
GNI per Health expenditure Life expectancy
capita ($) per capita ($) at birth (years)
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● Goals
○ To represent large-scale data
○ To help people exploring interesting information
hidden behind.

3. RESEARCH QUESTIONS
Q1 How does GNI, Health expenditure and Life
expectancy of different countries change over
time since 1995 to 2010?
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Q2 Would these growth mentioned above be
various among different countries?
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What’s the correlation between GNI & Health
Q3 expenditure, GNI & Life expectancy, as well as
Health expenditure & Life expectancy?
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Q4
We also would like to compare these correlation
mentioned above among different countries.

4. TARGET USER
U1 : Researcher
Top-down exploration process
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U2 : Student
Bottom-up exploration process

5. RELATED WORK
● WorldBank.org ● Gapminder World
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WorldBank.org offers dataset of several Gapminder uses a chart bar to present
index has a rich history, particularly with the indicators.
map

6. DESIGN PROCESS (1/2)
● Data processing
○ Raw data sets in CSV formats --> implemented a
parser in python that parsed all the data into JSON
format --> three files after data organization
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● Design criterias
○ Enable to compare several countries in a one view
○ Enable to display trends overtime
○ Enable to display the correlation between two
factors
○ Enable to explore hidden countries

7. DESIGN PROCESS (2/2)
Design Decisions
● Thematic Map
○ To show a particular theme connected with a specific
geographic area.
○ Zoom control for global view & details
○ Mouse hover for tooltip popping out
● Relevance Map
○ x-axis and y-axis individually represent two indicators
○ Each bubble represents a country: colors to code
continent and size to code its population.
○ Default view of continent bubble to spread out
○ Transparent color avoiding interlacing
● Filters

8. DEMO
Landing page here and
link to our system

9. SYSTEM DESCRIPTION
EVALUATION
Finding 1 Participants felt a little confused about the
missing data on the geographical map.
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Finding 2 Bubbles are too crowded on the relevance
chart.
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Finding 3 It needs to clearly identify the colors
meaning in both geographical map and
relevance chart.
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No highlight of countries on the geographic
Finding 4 map when users clicked on the bubbles.

10. FUTURE WORK
Supporting Indicator Improve Providing
more trend of filter sorting
datasets each options options
country

11. THANK YOU