Project 2: Shiny App Development Version 2.0
Project Description
In this second project of GR5243 Applied Data Science, we develop a version 2.0 of an Exploratory Data Analysis and Visualization shiny app on a topic of your choice using NYC Open Data or U.S. government open data released on the data.gov website. See Project 2 Description for more details.
The learning goals for this project is:
- business intelligence for data science
- study legacy codes and further development
- 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.
SafeKid
Term: Fall 2019
- Team # Section 2 Group 8
- SafeKid: + Team members
- Batidzirai, Thomson
- Fang, Dingyi
- Li, Sixuan
- Xiao, Lihao
- Yang, Mo
- Click Me:Your Danger Is Avoid From Here
- Project summary: Developing an App that relates the crimes related to kids or teenagers with places where children spend the most, for instance, after-school activities spots. Inspired by how the Amber Alarm works, We want to develop visualization and give children warnings of certain areas even before they are in danger.
- Contribution statement: (default) Summary: Developing an App that relates the crimes related to kids or teenagers with places where children spend the most, for instance, after-school activities spots. Inspired by how the Amber Alarm works, We want to develop visualization and give children warnings of certain areas even before they are in danger.
[Contribution Statement]
project leader: Lihao designed the UI part and the server part of statistics analysis, introduction, data summary and parts of the map, for instance the danger index and the distibution pie chart in the summary panel. He is also invovled in the data processing. He is also the presenter of the project. He also found the activities data sets for the project.
major contributor: Dingyi designed the map part server for instance the left panel and the click on map function. He also found the map to use and participate in dicussion about what we can do. He is also invovled in the data processing.
average participation: Mo is invovled in the data processing part and participate in the dweekly iscussion of the contents of the project. She also found the crime data sets for the project.
average participation: Thomson designed the heatmap of the crimes in the panel. He also proofread some of the sentences in introduction. He also provides ideas of the projects.
average participation: Sixuan did the crime index by time in each borough in the statistics part and participate in the discussion in the group chat.
All team members approve our work presented in our GitHub repository including this contribution 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.