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Open Source Science

https://github.com/ccao-data/pinval

Prototype PIN VALuation report

https://github.com/ccao-data/pinval

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.8%) to scientific vocabulary

Keywords

assessment propoerty-taxes r reporting

Keywords from Contributors

property-taxes taxes
Last synced: 5 months ago · JSON representation

Repository

Prototype PIN VALuation report

Basic Info
  • Host: GitHub
  • Owner: ccao-data
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 1.23 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 16
  • Releases: 0
Topics
assessment propoerty-taxes r reporting
Created almost 2 years ago · Last pushed 6 months ago
Metadata Files
Readme

README.md

PINVAL

This repo stores the code necessary to generate experimental reports explaining how the CCAO Data team's residential model valued any particular single-family home or multifamily home with six or fewer units.

[!WARNING] This project is an experimental work-in-progress and is not yet used in production. Reports generated using this code may not accurately reflect model behavior or CCAO policy.

Developing

We currently support two ways of generating PINVAL reports: With Quarto or with Hugo.

Quarto

This project expects that you have R and the Quarto CLI installed on your machine. A working installation of RStudio is recommended, but not required.

  1. Ensure that renv is installed:

r install.packages("renv")

  1. Create a renv environment and install R dependencies:

r renv::restore()

  1. [Optional] If you would like to run the report for a specific PIN, year, or model run, adjust run parameters under the params attribute in the YAML front matter in pinval.qmd.

  2. Make sure you are authenticated with AWS.

  3. Render the pinval.qmd report using Quarto, either by clicking the "Render" button in the RStudio UI or by calling the Quarto CLI:

quarto render pinval.qmd --to html -o pinval.html

Hugo

This project expects that you have the Hugo CLI installed on your machine.

[!NOTE] While the Data team often does work on the server, you should do Hugo development on your laptop in order to run the development site. Hugo installation is easiest using WSL, where you can install it by running sudo snap install hugo and entering your WSL user password. Your WSL password will most likely be different from your laptop password; if you're having trouble authenticating, reach out to a senior staff member for help.

  1. Ensure that Hugo is installed correctly by running hugo version.
  2. Navigate to the hugo/ subdirectory and run the development server:

cd hugo hugo serve

  1. For a quick sample report, see the examples:
    • http://localhost:1313/example-single-card
    • http://localhost:1313/example-multi-card

Owner

  • Name: Cook County Assessor's Office
  • Login: ccao-data
  • Kind: organization
  • Email: assessor.data@cookcountyil.gov

GitHub Events

Total
  • Issues event: 36
  • Delete event: 18
  • Issue comment event: 14
  • Push event: 194
  • Public event: 1
  • Pull request review comment event: 132
  • Pull request review event: 127
  • Pull request event: 36
  • Create event: 20
Last Year
  • Issues event: 36
  • Delete event: 18
  • Issue comment event: 14
  • Push event: 194
  • Public event: 1
  • Pull request review comment event: 132
  • Pull request review event: 127
  • Pull request event: 36
  • Create event: 20

Committers

Last synced: 8 months ago

All Time
  • Total Commits: 27
  • Total Committers: 4
  • Avg Commits per committer: 6.75
  • Development Distribution Score (DDS): 0.407
Past Year
  • Commits: 26
  • Committers: 3
  • Avg Commits per committer: 8.667
  • Development Distribution Score (DDS): 0.385
Top Committers
Name Email Commits
Jean Cochrane j****e 16
wagnerlmichael 9****l 7
Damonamajor 5****r 3
Dan Snow d****w@c****v 1
Committer Domains (Top 20 + Academic)
cookcountyil.gov: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 65
  • Total pull requests: 48
  • Average time to close issues: 2 months
  • Average time to close pull requests: 5 days
  • Total issue authors: 4
  • Total pull request authors: 3
  • Average comments per issue: 0.45
  • Average comments per pull request: 0.38
  • Merged pull requests: 37
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 50
  • Pull requests: 44
  • Average time to close issues: 27 days
  • Average time to close pull requests: 5 days
  • Issue authors: 3
  • Pull request authors: 3
  • Average comments per issue: 0.4
  • Average comments per pull request: 0.34
  • Merged pull requests: 33
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • jeancochrane (48)
  • ccao-jardine (8)
  • dfsnow (6)
  • wagnerlmichael (3)
Pull Request Authors
  • jeancochrane (25)
  • wagnerlmichael (20)
  • Damonamajor (3)
Top Labels
Issue Labels
documentation (1)
Pull Request Labels

Dependencies

.github/workflows/generate-pinval.yaml actions
  • actions/cache v4 composite
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • astral-sh/setup-uv v5 composite
  • aws-actions/configure-aws-credentials v4 composite
.github/workflows/pre-commit.yaml actions
  • actions/checkout v4 composite
  • ccao-data/actions/pre-commit main composite
scripts/generate_pinval/pyproject.toml pypi
  • ccao @ git+https://github.com/ccao-data/ccao@e97bab236d9cbf3035b3c06ec735d016a693cae2#subdirectory=python
  • numpy >=2.2.6
  • orjson >=3.10.18
  • pandas >=2.2.3
  • pyarrow >=20.0.0
  • pyathena >=3.13.0
scripts/generate_pinval/uv.lock pypi
  • boto3 1.38.5
  • botocore 1.38.5
  • ccao 1.3.0
  • fsspec 2025.3.2
  • generate-pinval 0.1.0
  • jmespath 1.0.1
  • numpy 2.2.6
  • orjson 3.10.18
  • pandas 2.2.3
  • pyarrow 20.0.0
  • pyathena 3.13.0
  • python-dateutil 2.9.0.post0
  • pytz 2025.2
  • s3transfer 0.12.0
  • six 1.17.0
  • tenacity 9.1.2
  • tzdata 2025.2
  • urllib3 2.4.0