https://github.com/catalyst-cooperative/historical_weather

Analysis of historical weather data from NOAAs Global Summary of the Day (GSOD)

https://github.com/catalyst-cooperative/historical_weather

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 (11.0%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Analysis of historical weather data from NOAAs Global Summary of the Day (GSOD)

Basic Info
  • Host: GitHub
  • Owner: catalyst-cooperative
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 35.7 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 6
  • Releases: 0
Created over 4 years ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

gsod

Analysis of historical weather data from NOAAs Global Summary of the Day (GSOD).

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── interim        <- Intermediate data used for processing, such as manually created data.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump from BigQuery.
│
├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
│                         the creator's initials, and a short `-` delimited description, e.g.
│                         `1.0-jqp-initial-data-exploration`.
│
├── references         <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures        <- Generated graphics and figures to be used in reporting
│
├── sql_queries        <- Queries that were manually run against the GSOD dataset in BigQuery
|                         to produce the data files in `data/raw/`
│
├── setup.py           <- makes project pip installable (pip install -e .) so src can be imported
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   |
│   ├── analysis       <- Code to analyze raw data
│   |   ├── continuity.py   <- Module to analyze station continuity.
│   │   └── precipitation.py    <- Modeule to analyze precipitation data.
│   |
│   ├── data           <- Scripts to download or generate data
│   |   ├── loaders.py <- Module to load and process raw data.
│   │   └── make_dataset.py <- The final, canonical data sets.
│   │
│   └── visualization  <- Scripts to create exploratory and results oriented visualizations
│       └── visualize.py    <- (empty)
│
├── environment_direct.yml   <- The environment file for reproducing the direct dependencies of the
│                                analysis environment, generated with `conda env export --from-history`
│
└── environment_strict.yml   <- The environment file for reproducing the ALL dependencies of the
                                 analysis environment, generated with `conda env export`

Project based on the cookiecutter data science project template. #cookiecutterdatascience

Owner

  • Name: Catalyst Cooperative
  • Login: catalyst-cooperative
  • Kind: organization
  • Email: hello@catalyst.coop
  • Location: United States of America

Catalyst is a small data engineering cooperative working on electricity regulation and climate change.

GitHub Events

Total
  • Issue comment event: 1
  • Push event: 11
  • Pull request event: 2
Last Year
  • Issue comment event: 1
  • Push event: 11
  • Pull request event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 35
  • Total Committers: 1
  • Avg Commits per committer: 35.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
t-desktop t****h@g****m 35

Issues and Pull Requests

Last synced: over 2 years ago

All Time
  • Total issues: 12
  • Total pull requests: 1
  • Average time to close issues: 8 days
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.08
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • TrentonBush (12)
Pull Request Authors
  • pre-commit-ci[bot] (3)
Top Labels
Issue Labels
Epic (4)
Pull Request Labels

Dependencies

setup.py pypi