Difference between revisions of "Group01 Overview"
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| − | <font size = 5; color="#FFFFFF"><span style="font-family:Century Gothic;"><b> | + | [[File:grp01_headerImage.png|209px|left]] |
| − | <font size = 3; color="#FFFFFF"><span style="font-family:Century Gothic;">A web-based analytics application | + | <br> |
| + | <font size = 5; color="#FFFFFF"><span style="font-family:Century Gothic;"><b>WORLD DEVELOPMENT INDICATORS: A NEW VISUAL PERSPECTIVE</b><br></span></font> | ||
| + | <font size = 3; color="#FFFFFF"><span style="font-family:Century Gothic;">A web-based analytics application to visualize countries development across the globe</span></font> | ||
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| − | == | + | ==Abstract== |
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| + | 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. | ||
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| + | 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. | ||
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| + | To address this pressing issue, the team is motivated to design and develop a single-view, dynamic and interactive visual dashboard to provide students, policymakers, analysts and officials a holistic view of the World Development Indicators data collected. | ||
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| + | The team will be using R as the code base, focusing heavily on using the functions available in the Circlize package to develop the visual application. | ||
| + | Circlize comes with functions to render Circular layout which is an efficient way for the visualization of huge amounts of information. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by the team for specific purposes. Together with the seamless | ||
| + | connection between the powerful computational and visual environment in R, it gives the team more convenience and freedom to design figures for better understanding of complex patterns behind multiple dimensional data. | ||
==Our Team== | ==Our Team== | ||
| − | <br/ | + | {| width="50%" cellspacing="0" cellpadding="0" valign="top" border="0" | |
| − | <br/ | + | | style="text-align:center;" width="20%" | |
| − | <br/ | + | ; |
| − | + | [[File:Grp01_gebin.png|150px]] <br>[https://www.linkedin.com/in/gebin/ GE Bin] | |
| + | | style="text-align:center;" width="20%" | | ||
| + | ; | ||
| + | [[File:Grp01_ryan.png|150px]] <br>[https://www.linkedin.com/in/ryan-chia-25a86975/ Ryan CHIA] | ||
| + | | style="text-align:center;" width="20%" | | ||
| + | ; | ||
| + | [[File:Grp01_danny.png|150px]] <br>[http://www.linkedin.com/in/dannylim83 Danny LIM] | ||
| + | |} | ||
==Project Timeline== | ==Project Timeline== | ||
| − | [[File:grp01_timeline.png| | + | [[File:grp01_timeline.png|1000px]] |
==Project Deliverable== | ==Project Deliverable== | ||
| − | * Visual Analytics Conference Poster - A quick overview of the visual application project | + | * '''[[Group01_Poster|Visual Analytics Conference Poster]]''' - A quick overview of the visual application project |
| − | * Visual Analytics Application - Allow for in-depth analysis of the World Development Indicators | + | * '''[[Group01_Application|Visual Analytics Application]]''' - Allow for in-depth analysis of the World Development Indicators |
| − | * Visual Analytics Report - A detailed documentation on the development of the visual application project | + | * '''[[Group01_Report|Visual Analytics Report]]''' - A detailed documentation on the development of the visual application project |
| + | |||
| + | ==Data Source== | ||
| + | World Bank Data: | ||
| + | * [https://data.worldbank.org/data-catalog/world-development-indicators World Development Indicators] | ||
| + | * [https://data.worldbank.org/country Country Description] | ||
| + | * [https://data.worldbank.org/indicator Indicator Description] | ||
| + | |||
| + | ==Visualization Tools and Packages== | ||
| + | Visualization using R: | ||
| + | * [https://cran.r-project.org/web/packages/shiny/index.html shiny], [https://cran.r-project.org/web/packages/ggplot2/index.html ggplot2], [https://cran.r-project.org/web/packages/plotly/index.html plotly], [https://cran.r-project.org/web/packages/tidyverse/index.html tidyverse],[https://cran.r-project.org/web/packages/reshape/index.html reshape], [https://cran.r-project.org/web/packages/circlize/index.html circlize] | ||
Latest revision as of 13:42, 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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Contents
Abstract
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.
To address this pressing issue, the team is motivated to design and develop a single-view, dynamic and interactive visual dashboard to provide students, policymakers, analysts and officials a holistic view of the World Development Indicators data collected.
The team will be using R as the code base, focusing heavily on using the functions available in the Circlize package to develop the visual application. Circlize comes with functions to render Circular layout which is an efficient way for the visualization of huge amounts of information. The flexibility of the package is based on the usage of low-level graphics functions such that self-defined high-level graphics can be easily implemented by the team for specific purposes. Together with the seamless connection between the powerful computational and visual environment in R, it gives the team more convenience and freedom to design figures for better understanding of complex patterns behind multiple dimensional data.
Our Team
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Project Timeline
Project Deliverable
- Visual Analytics Conference Poster - A quick overview of the visual application project
- Visual Analytics Application - Allow for in-depth analysis of the World Development Indicators
- Visual Analytics Report - A detailed documentation on the development of the visual application project
Data Source
World Bank Data:
Visualization Tools and Packages
Visualization using R:
