Difference between revisions of "ISSS608 2016 17T3 Group11 Proposal"
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Since initiating market reforms in 1978, China has shifted from a centrally-planned to a market-based economy and has experienced rapid economic and social development. With a population of 1.3 billion, China is the second largest economy and is increasingly playing an important and influential role in development and in the global economy. China has been the largest contributor to world growth since the global financial crisis of 2008. An increasing number of foreign investors are looking for opportunities to invest in China. Therefore, understanding the performance of China listed firms becomes very essential. This project identifies the need of developing an interactive dashboard to display the performance of China listed firms, which will be very helpful in understanding how these companies of different industries have developed over the past 12 years. | Since initiating market reforms in 1978, China has shifted from a centrally-planned to a market-based economy and has experienced rapid economic and social development. With a population of 1.3 billion, China is the second largest economy and is increasingly playing an important and influential role in development and in the global economy. China has been the largest contributor to world growth since the global financial crisis of 2008. An increasing number of foreign investors are looking for opportunities to invest in China. Therefore, understanding the performance of China listed firms becomes very essential. This project identifies the need of developing an interactive dashboard to display the performance of China listed firms, which will be very helpful in understanding how these companies of different industries have developed over the past 12 years. | ||
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= Objectives = | = Objectives = | ||
* To create an interactive visualization that allows user to navigate the content easily. | * To create an interactive visualization that allows user to navigate the content easily. | ||
* Overview of the performance of China listed firms based on different industries or regions(provinces or cities). | * Overview of the performance of China listed firms based on different industries or regions(provinces or cities). | ||
* Using different types of visualizations such as tree maps, geo_facet map, scatter plot and sparktable. | * Using different types of visualizations such as tree maps, geo_facet map, scatter plot and sparktable. | ||
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= Data Source = | = Data Source = | ||
http://csmar.gtadata.com.libproxy.smu.edu.sg/p/sq/ | http://csmar.gtadata.com.libproxy.smu.edu.sg/p/sq/ | ||
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= Techniques to apply:= | = Techniques to apply:= | ||
* R Package: Shiny, ggplot2, DT, Geo_Facet, Tibble, d3Tree, d3treeR, tidyverse, sparkline, dplyr, reshape2, shinydashboard, ggthemes | * R Package: Shiny, ggplot2, DT, Geo_Facet, Tibble, d3Tree, d3treeR, tidyverse, sparkline, dplyr, reshape2, shinydashboard, ggthemes | ||
Revision as of 11:19, 4 August 2017
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Situation
Since initiating market reforms in 1978, China has shifted from a centrally-planned to a market-based economy and has experienced rapid economic and social development. With a population of 1.3 billion, China is the second largest economy and is increasingly playing an important and influential role in development and in the global economy. China has been the largest contributor to world growth since the global financial crisis of 2008. An increasing number of foreign investors are looking for opportunities to invest in China. Therefore, understanding the performance of China listed firms becomes very essential. This project identifies the need of developing an interactive dashboard to display the performance of China listed firms, which will be very helpful in understanding how these companies of different industries have developed over the past 12 years.
Objectives
- To create an interactive visualization that allows user to navigate the content easily.
- Overview of the performance of China listed firms based on different industries or regions(provinces or cities).
- Using different types of visualizations such as tree maps, geo_facet map, scatter plot and sparktable.
Data Source
http://csmar.gtadata.com.libproxy.smu.edu.sg/p/sq/
Techniques to apply:
- R Package: Shiny, ggplot2, DT, Geo_Facet, Tibble, d3Tree, d3treeR, tidyverse, sparkline, dplyr, reshape2, shinydashboard, ggthemes
- Combining data tables and sparklines
Challenges
- Data Restructure - raw data are far away from qualified to use for the application
- How to link different kinds/levels of data visualizations properly so as to give audiences a better view and understanding
