Difference between revisions of "Group01 Proposal"
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==Issues and Problems== | ==Issues and Problems== | ||
| − | World Development Indicators ([https://data.worldbank.org/data-catalog/world-development-indicators WDI]) is an extensive and holistic database compiled by World Bank focusing on countries development across the globe. It covers 20 topics with more than 1,300 time series development indicators featuring 214 nations and 38 country group which adds up to more than 7 | + | World Development Indicators ([https://data.worldbank.org/data-catalog/world-development-indicators WDI]) is an extensive and holistic database compiled by World Bank focusing on countries development across the globe. It covers 20 topics with more than 1,300 time series development indicators featuring 214 nations and 38 country group which adds up to more than 7 million data points collected over the span of 56 years. |
The massive amount of world development data has by far exceeds the ability for students, policymakers, analysts and officials to transform the data into proper visualization for analysing and gaining insight of the global developmental landscape. Thus, creating an adverse impact on the financial and technical assistance World Bank is providing to the developing countries around the world. | The massive amount of world development data has by far exceeds the ability for students, policymakers, analysts and officials to transform the data into proper visualization for analysing and gaining insight of the global developmental landscape. Thus, creating an adverse impact on the financial and technical assistance World Bank is providing to the developing countries around the world. | ||
Revision as of 13:41, 1 December 2017
WORLD DEVELOPMENT INDICATORS: A NEW VISUAL PERSPECTIVE
A web-based analytics application to visualize countries development across the globe
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Issues and Problems
World Development Indicators (WDI) is an extensive and holistic database compiled by World Bank focusing on countries development across the globe. It covers 20 topics with more than 1,300 time series development indicators featuring 214 nations and 38 country group which adds up to more than 7 million data points collected over the span of 56 years.
The massive amount of world development data has by far exceeds the ability for students, policymakers, analysts and officials to transform the data into proper visualization for analysing and gaining insight of the global developmental landscape. Thus, creating an adverse impact on the financial and technical assistance World Bank is providing to the developing countries around the world.
Motivation and Objectives
Most of the visualization available using WDI data are represented with 1 to 2-dimensional data rendered on a geospatial map across a time series animation. Such visual representations requires the need to switch between different form of visuals (either in a single dashboard or different page) to order to capture the overall data presented to them, making it difficult to generate insights in a single view.
Our group is motivated to develop a visual application to study the World Development Indicators across time and countries and observe correlations (if any) between the topics or indicators selected. Therefore, the main objective for the team is to explore a new visualization method to provide a holistic view of the WDI database using a single visual graphical representation.
Review and Critics of Past Works
Geo Spatial Visualization, World Data Bank
World Data Bank proprietary geo-spatial visualization of their data. It allows user to select one topic and one indicator across specific years to be represented on the graphical map. The main restriction is the inability to choose more than one indicator to be represented on the graphical map to provide a holistic view of the data selected.
Global trends in health and economics using Bubble Plot, Hans Rosling
The classic bubble plot visualization by Hans Rosling on Global trends in health and economics. The visualization allows for up to 2 data dimensions (X and Y axis) across a time-series animation (years) for the countries selected (bubble plot). This is a very good visualization representation of the health and economic trends across the years for each country. However, it still lacks the capability to include more than 2 data variables and other form of analytics visualization.
Quantifying Uneven Health Development in the World, Ziqiao (Cheryl) Liu
Expanding from Has Rosling Bubble Plot visualization techniques, Cheryl included additional line graph and histogram to visualize the trend of the world health data through country, year and topic filtering. This is another classic issue that was raised where more than one visualization need to be render across different pages or within a dashboard to allow for a holistic visualization of the data presented.
