MatthewWeiChen / 311-data

Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data

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311-data

Empower Neighborhood Associations to Improve analysis of their initiatives using 311 data

Frontend Technologies

  • Javascript (React)
  • Redux
  • Bulma
  • HTML/CSS

Backend Technologies

  • Python
  • Sanic (Asynchronous Flask)
  • Pandas
  • PostgreSql
  • Docker + Docker Compose

Data Analysis Technologies

  • Python
  • Pandas
  • Numpy
  • PostgreSql
  • Socrata API

UI/UX Technologies

  • Figma
  • Google Drive
  • Adobe CC
  • Miro

Management Philosophies:

  • Open Source
  • Kanban

To Sign Up:

πŸŽ‰πŸŽ‰ After Signing up, Engineers start here!!!! πŸŽ‰πŸŽ‰πŸŽ‰

Resources

Empower LA - HfLA Initial Meeting

Empower LA - HfLA Initial Questions

Raw 311 data by year

Existing 311 visualization tools:

Empower LA’s Demographics BI tool

Mayor’s Dashboard

NYC 311 Data

Neighborhood Council Funding System Dashboard

People involved in the project

311-Data Roster: Roster

Facilitator to Stakeholder: EmpowerLA

Agendas

311-Data Agendas

Working Documents

Diff Dashboard

Deliverables

Email to NC Members

NC initial survey

About

Empowering Neighborhood Associations to improve the analysis of their initiatives using 311 data

License:GNU General Public License v3.0


Languages

Language:JavaScript 48.0%Language:Python 23.0%Language:Jupyter Notebook 20.6%Language:SCSS 6.0%Language:Shell 1.1%Language:HTML 0.5%Language:HCL 0.5%Language:Dockerfile 0.2%Language:Mako 0.1%