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

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

Frontend Technologies

  • Javascript (React)
  • Redux
  • Bulma
  • HTML/CSS
  • Docker + Docker Compose

Backend Technologies

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

Data Analysis Technologies

  • Python
  • Pandas
  • Numpy
  • PostgreSql
  • Socrata API

Management Philosophies:

  • Open Source
  • Kanban

UI/UX Technologies

  • Figma
  • Google Drive
  • Adobe CC
  • Miro

🎉🎉 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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  • Jupyter Notebook 97.7%
  • JavaScript 1.6%
  • Python 0.5%
  • CSS 0.2%
  • Shell 0.0%
  • HCL 0.0%