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