Skip to content

Streamlit-App-Demo/Dashboard

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Description

  • We worked on a student project for The Family Promise of Spokane Organization, a US-based nonprofit organization based in Spokane, WA. They are an organization that helps homeless families as well as preventing families from becoming homeless. They provide shelter for families as well as rental assitance. For the full description visit their website Family Promise of Spokane
  • The dashboard we made was meant for the supervisors and caseworkers to make informed decisions.
  • This repository main purpose is to demo the streamlit app dashboard portion only. The only contributors are below.

Contributors

| Erle Granger II | Lester Gomez | Robert Giuffre |

How to run streamlit app

  1. git clone https://github.com/Streamlit-App-Demo/Dashboard.git
  2. Install packages using pipenv install or pipenv shell
  3. Type streamlit run fps_dashboard/fps_app.py to run dashboard

Demo

  • Quick video about the app: Youtube

Known bugs

  • From ml_interpretations.py
  1. Posx and posy should be finite values. Text and fig scaling issues.
  2. In shap section: (matplotlib = True) is not yet supported for force plots with multiple samples! Example: Pick [Personal ID 53716]
  3. Segmentation fault. Sometimes it crashes.
  • From des_statistics.py
  1. Basic Enrollment Stats: if the date range changes, and if within those observations the number of possible genders changes, the colors indicating gender in the legend may change.
  2. Exit Outcome Facet Chart: if the date range selected by the user does not contain at least one example of each exit outcome, the chart will fail to render.
  3. Exit Outcome Facet Chart: if the user zooms the 3 charts will become "unmoored" - the x axis moves.

Libraries

pandas matplotlib altair scikit-learn catboost xgboost eli5 pdpbox shap streamlit

Linked Repositories

Family Promise of Spokane Data Science

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published