Term: Spring 2024
In this second project of GR5243 Applied Data Science, we develop a Exploratory Data Analysis and Visualization shiny app using one of the OpenFEMA data sets of your choice. See Project 2 Description for more details.
The learning goals for this project is:
- business intelligence for data science
- data cleaning
- data visualization
- systems development/design life cycle
- shiny app/shiny server
*The above general statement about project 2 can be removed once you are finished with your project. It is optional.
Term: Spring 2024
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Team # 12
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Projec title: + Disaster Declarations Summaries
- Jiaqi Lu
- Yuqi Liu
- Guanbiao Li
- Tianyi Jiang
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Shiny App Link: https://dataevan.shinyapps.io/project_2_data_analysis/
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Project summary: We are dedicated to developing a mobile application specifically designed for New York State government agencies, aimed at efficiently summarizing and analyzing historical disaster data. This tailored application is poised to be particularly beneficial for the New York State Individual Housing Program, offering house owners precise and appropriate funding assistance based on comprehensive data analysis. This ensures that the allocation of funds is directly aligned with the specific needs uncovered, greatly enhancing the effectiveness and efficiency of disaster management and recovery efforts for individual homeowners.
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Contribution statement: (default)
- Jiaqi Lu: Shiny app web designed
- Yuqi Liu: Graph: Distribution of Top 5 Disasters by State and Year
- Guanbiao Li: Graph: New York State - Information of House Owners
- Tianyi Jiang: Graph: Distribution of Aid Programs in New York State
Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.
proj/
├── app/
├── lib/
├── data/
├── doc/
└── output/
Please see each subfolder for a README file.