{"id":24529950,"url":"https://github.com/jvelezmagic/covid_analysis","last_synced_at":"2026-05-12T12:41:57.523Z","repository":{"id":147774113,"uuid":"408298630","full_name":"jvelezmagic/covid_analysis","owner":"jvelezmagic","description":null,"archived":false,"fork":false,"pushed_at":"2021-09-23T03:46:13.000Z","size":106003,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-22T07:53:02.606Z","etag":null,"topics":["conda","covid-19","data-science","factor-analysis","forecasting","jupyter-book","python","time-series"],"latest_commit_sha":null,"homepage":"https://jvelezmagic.github.io/covid_analysis/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jvelezmagic.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2021-09-20T03:25:41.000Z","updated_at":"2021-09-23T03:45:02.000Z","dependencies_parsed_at":"2023-05-27T11:15:25.521Z","dependency_job_id":null,"html_url":"https://github.com/jvelezmagic/covid_analysis","commit_stats":{"total_commits":27,"total_committers":1,"mean_commits":27.0,"dds":0.0,"last_synced_commit":"3854c38e37adca7bd263b74b65da32b1ba5b8221"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jvelezmagic%2Fcovid_analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jvelezmagic%2Fcovid_analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jvelezmagic%2Fcovid_analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jvelezmagic%2Fcovid_analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jvelezmagic","download_url":"https://codeload.github.com/jvelezmagic/covid_analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243770843,"owners_count":20345357,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["conda","covid-19","data-science","factor-analysis","forecasting","jupyter-book","python","time-series"],"created_at":"2025-01-22T07:53:12.376Z","updated_at":"2026-05-12T12:41:57.465Z","avatar_url":"https://github.com/jvelezmagic.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Covid Analysis\n\nAn awesome project.\n  \n## Installation guide\n\nPlease read [install.md](install.md) for details on how to set up this project.\n\n## Project Organization\n\n    ├── LICENSE\n    ├── tasks.py           \u003c- Invoke with commands like `notebook`.\n    ├── README.md          \u003c- The top-level README for developers using this project.\n    ├── install.md         \u003c- Detailed instructions to set up this project.\n    ├── data\n    │   ├── external       \u003c- Data from third party sources.\n    │   ├── interim        \u003c- Intermediate data that has been transformed.\n    │   ├── processed      \u003c- The final, canonical data sets for modeling.\n    │   └── raw            \u003c- The original, immutable data dump.\n    │\n    ├── models             \u003c- Trained and serialized models, model predictions, or model summaries.\n    │\n    ├── notebooks          \u003c- Jupyter notebooks. Naming convention is a number (for ordering),\n    │                         the creator's initials, and a short `-` delimited description, e.g.\n    │                         `1.0-jqp-initial-data-exploration`.\n    │\n    ├── references         \u003c- Data dictionaries, manuals, and all other explanatory materials.\n    │\n    ├── reports            \u003c- Generated analysis as HTML, PDF, LaTeX, etc.\n    │   └── figures         \u003c- Generated graphics and figures to be used in reporting.\n    │\n    ├── environment.yml    \u003c- The requirements file for reproducing the analysis environment.\n    │\n    ├── .here              \u003c- File that will stop the search if none of the other criteria\n    │                         apply when searching head of project.\n    │\n    ├── setup.py           \u003c- Makes project pip installable (pip install -e .)\n    │                         so covid_analysis can be imported.\n    │\n    └── covid_analysis               \u003c- Source code for use in this project.\n        ├── __init__.py    \u003c- Makes covid_analysis a Python module.\n        │\n        ├── data           \u003c- Scripts to download or generate data.\n        │   └── make_dataset.py\n        │\n        ├── features       \u003c- Scripts to turn raw data into features for modeling.\n        │   └── build_features.py\n        │\n        ├── models         \u003c- Scripts to train models and then use trained models to make\n        │   │                 predictions.\n        │   ├── predict_model.py\n        │   └── train_model.py\n        │\n        ├── utils          \u003c- Scripts to help with common tasks.\n            └── paths.py   \u003c- Helper functions to relative file referencing across project.\n        │\n        └── visualization  \u003c- Scripts to create exploratory and results oriented visualizations.\n            └── visualize.py\n\n---\nProject based on the [cookiecutter conda data science project template](https://github.com/jvelezmagic/cookiecutter-conda-data-science).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjvelezmagic%2Fcovid_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjvelezmagic%2Fcovid_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjvelezmagic%2Fcovid_analysis/lists"}