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[CARD] SC 9 #7

@cassierandolph89

Description

@cassierandolph89

Story Card Request

Project: Housing
Card Title:
Card Document: (link here)

Milestones

Setup

Type of data processing / analysis this story card uses

Each card can belong to one or more categories listed below

  • descriptive - simple data (re)-representation, doing summary statistics belongs to this category, we do this for all data sets
  • explanatory - testing hypotheses and / or comparing data points
  • predictive - any regression, model fitting, classification or clustering tasks
  • prescriptive - when you want to recommend any action to be taken (we do this rarely, if at all)

Data documentation and proposed analysis

  • Document metadata
  • Decide whether to load to database or S3 with proper metadata documentation
  • Review metadata and proposed data analysis

Set up data processing development environment

  • Clone repo from [template] (https://github.com/karenng-civicsoftware/HackORDataScienceTemplate)
  • Set up access to GitHub repo for all team members
  • Set up a container from a suitable version of the Dockerfile template
  • Prototyping and testing analysis proposals
  • Review additional proposed data analysis identified through prototyping
  • Write code for reproducible data processing steps with proper version control & data lineage
  • Data science results produced and documented
  • Data science peer reviewed

Build APIs

  • Database deployed to CIVIC Cloud
  • Data science results available through API with all needed calculations, filters and queries
  • Basic API in container
  • Basic API deployed to CIVIC Cloud
  • TBD process for API design - standardization?
  • API endpoint with all needed calculations, filters and queries

Data visualization:

  • Clear concept
  • All components needed available in Storybook
  • Components available in Storybook demonstrate all needed features
  • Follows data visualization and interface guidelines available in Storybook

Design

  • TBD Wireframes?
  • TBD Design review?

Written content / additional links

  • Write content
  • Review content

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