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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:

🎉🎉 After Signing up, Engineers start here!!!! 🎉🎉🎉

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

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

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Languages

  • JavaScript 56.1%
  • Jupyter Notebook 20.8%
  • Python 14.0%
  • SCSS 6.1%
  • HCL 1.1%
  • Shell 1.1%
  • Other 0.8%