Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/boardgameanalytics/bga-notebooks
Exploratory notebooks using the BGG dataset
https://github.com/boardgameanalytics/bga-notebooks
data-analysis data-exploration data-visualization ipython-notebook python
Last synced: about 1 month ago
JSON representation
Exploratory notebooks using the BGG dataset
- Host: GitHub
- URL: https://github.com/boardgameanalytics/bga-notebooks
- Owner: boardgameanalytics
- License: mit
- Created: 2022-09-21T14:11:01.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2022-10-20T13:36:29.000Z (over 2 years ago)
- Last Synced: 2024-11-13T00:43:34.039Z (3 months ago)
- Topics: data-analysis, data-exploration, data-visualization, ipython-notebook, python
- Language: Jupyter Notebook
- Homepage:
- Size: 1.65 MB
- Stars: 1
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Board Game Analytics - Exploratory Notebooks
[](https://github.com/boardgameanalytics/bga-notebooks/actions/workflows/flake8.yml)
[](https://github.com/boardgameanalytics/bga-notebooks/actions/workflows/pytest.yml)Collection of exploratory Jupyter notebooks, helper functions, and SQL queries for analyzing
[BoardGameGeek.com](https://boardgamegeek.com) boardgame data.The dataset used in these notebooks is provided by [bga-pipeline](https://github.com/boardgameanalytics/bga-pipeline).
These notebooks were created for exploratory analysis and modeling in preparation for the
[bga-web-dashboard](https://github.com/boardgameanalytics/bga-web-dashboard).## Contributors
- [Randy Nance](https://github.com/randynobx)
- [Measuring Popularity](https://github.com/boardgameanalytics/bga-notebooks/blob/main/measuring_popularity.ipynb)