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azmet-qa-dashboard

https://github.com/uace-azmet/azmet-qa-dashboard

Science Score: 67.0%

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

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.1%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Basic Info
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 3
  • Releases: 1
Created almost 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

azmet-qa-dashboard

Project Status: Active – The project has reached a stable, usable state and is being actively developed. DOI

This report has two types of validations: 1) rule-based validations and 2) forecast-based validations. Rule-based validations check if values are within ranges, are correct relative to one another, and are not out of range for certain numbers of observations. Forecast-based validations start with creating a timeseries model of the data back to 2003. These models are updated and used to forecast the current day. The observed data is then compared to the forecast data, and if they are very different the data is flagged.

Reproducibility

This project uses renv for package management. When opening this repo as an RStudio Project for the first time, renv should automatically install itself and prompt you to run renv::restore() to install all package dependencies.

Collaboration guidelines

To contribute to this project, please create a new branch for your changes and make a pull request. One easy way to do this from within R is with the usethis package and the pr_* functions. pr_init("branch-name") begins a new branch locally, pr_push() helps you create a new pull request, and after it is merged you can use pr_finish() to clean things up. More about this workflow here.

Developed in collaboration with the University of Arizona CCT Data Science team

Owner

  • Name: uace-azmet
  • Login: uace-azmet
  • Kind: organization

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: AZMet QA Dashboard
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Eric R
    family-names: Scott
    email: ericrscott@arizona.edu
    affiliation: >-
      University of Arizona Experiment Station, Communications & Cyber
      Technologies Data Science team
    orcid: 'https://orcid.org/0000-0002-7430-7879'
  - given-names: Jeremy
    family-names: Weiss
    email: jlweiss@arizona.edu
    affiliation: University of Arizona Cooperative Extension
    orcid: https://orcid.org/0000-0003-3597-0712
repository-code: 'https://github.com/uace-azmet/azmet-qa-dashboard'
license: MIT
version: v0.1.0

GitHub Events

Total
  • Create event: 10
  • Release event: 1
  • Issues event: 6
  • Delete event: 8
  • Push event: 15
  • Pull request event: 14
  • Pull request review comment event: 1
  • Pull request review event: 2
Last Year
  • Create event: 10
  • Release event: 1
  • Issues event: 6
  • Delete event: 8
  • Push event: 15
  • Pull request event: 14
  • Pull request review comment event: 1
  • Pull request review event: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 2
  • Total pull requests: 8
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 8 days
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 8
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 8 days
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 8
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Aariq (2)
  • jeremylweiss (1)
Pull Request Authors
  • Aariq (6)
  • jeremylweiss (2)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/deploy-to-connect.yaml actions
  • actions/checkout v3 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-renv v2 composite
  • rstudio/actions/connect-publish main composite