<jupyter_start><jupyter_text>[](https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/All_Graphs_Commits.html)<jupyter_code>from IPython.display import IFrame<jupyter_output><empty_output><jupyter_text>Graphs for GSA Easy markdown to visualize the plotly graphs. They are interactive, meaning you can scroll, zoom, download as PNG, etc.<jupyter_code>IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/All_Graphs_Commits.html', 900, 500)
IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/All_Graphs_Contributors.html', 900, 500)
IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/All_Graphs_Forks.html', 900, 500)<jupyter_output><empty_output><jupyter_text>By Subject Geopaleontology<jupyter_code>IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/Geo_Graphs_Commits.html', 900,500)
IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/Geo_Graphs_Contributors.html', 900,500)
IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/Geo_Graphs_forks.html', 900,500)<jupyter_output><empty_output><jupyter_text>R Graphs ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/commits_per_repository.png?raw=true) ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/forks_per_repository.png?raw=true) ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/contributors_per_repository.png?raw=true) ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/commits_by_subject_boxplot.png?raw=true) ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/forks_by_subject_boxplot.png?raw=true) ![img](https://github.com/throughput-ec/NeotomaRecommender/blob/main/GithubAnalysis/GSA_Figures/R/contributors_by_subject_boxplot.png?raw=true)  Count of Repos per Data Catalog<jupyter_code>IFrame('https://throughput-ec.github.io/NeotomaRecommender/GithubAnalysis/GSA_Figures/Count_Repos_Catalog.html', 900, 500)<jupyter_output><empty_output>
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