argo-marketplace / argo-marketplace/Block-Project

Todos dated Apr 9 2018

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Dominant language
Jupyter Notebook
Stars
3
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PR merge metrics
No merged PRs in 30d

Description

LA's ADU project
- https://www.fastcompany.com/40553482/2018-world-changing-ideas-awards-winners-urban-design-los-angeles-adu
- https://www.mas.la/adu-pilot-project

---

- Demographics - broad appeal.
- Different neighborhoods.
- what % of the neighborhood's parcels are eligible to participate?
- Targeting:
- Homeowners
- median income [ medium - high ]
- Layering maps
- Feeling based. Heavy on Story. 75% of followers are women.

---

1. Change alley buffer to 0 and see how many parcels we get.
2. Produce Neighborhood by neighborhood report showing eligible parcels.
3. Sewer Data
- I was able to find this - http://gisrevprxy.seattle.gov/wab_ext/DSOResearch_Ext/ (see screenshot below)
- I can't (yet) make sense of this but it is promising.

Contributor guide

No contributing guide indexed for this repository

Research direction

No notebook, file, test, or entry point is named in the issue. Start by locating the parcel-analysis notebook and the data sources used for alley buffers and sewer information. Done means reporting eligible parcels by neighborhood after setting the alley buffer to zero, and documenting whether the sewer data can be used.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook
Domain
analytics, data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

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