Term: Fall 2023
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: Fall 2023
-
Team #2
-
Team members:
- Spardha Sharma (ss6343)
- Daniel Thomas Luce (dtl2129)
- Lia Cho (lc3683)
- Feiyu Guo (fg2545)
- Chencan Zou (cz2675)
- Puqi Song (ps3387)
-
Project summary: Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
-
Contribution statement: (default) All team members contributed equally in all stages of this project. All team members approve our work presented in this GitHub repository including this contributions statement.
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.