Title: Commits · IBM/visualize-data-with-python · GitHub
Open Graph Title: Commits · IBM/visualize-data-with-python
X Title: Commits · IBM/visualize-data-with-python
Description: A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX. - Commits · IBM/visualize-data-with-python
Open Graph Description: A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX. - Commits · IBM/visualize-data-with-python
X Description: A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX. - Commits · IBM/visualize-data-with-python
Opengraph URL: https://github.com/IBM/visualize-data-with-python
X: @github
Domain: patch-diff.githubusercontent.com
| route-pattern | /:user_id/:repository/graphs/commit-activity(.:format) |
| route-controller | graphs |
| route-action | commit_activity |
| fetch-nonce | v2:e6fc8896-595f-7120-cbbe-2b731046b2f6 |
| current-catalog-service-hash | b4d8436665c5448282b6f4eacc6394e6e8801de97cb226acdca9da20ae59be92 |
| request-id | 838A:192E1B:372D1C:46F7E6:69701E9B |
| html-safe-nonce | e2207af4a0606f7cd325547b0f98ccbe8a238c0229d3f6c0b465cfe0c58239bd |
| visitor-payload | eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiI4MzhBOjE5MkUxQjozNzJEMUM6NDZGN0U2OjY5NzAxRTlCIiwidmlzaXRvcl9pZCI6Ijg4OTYxMzE4OTE4NjE2NTkyOTEiLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ== |
| visitor-hmac | db4ff628f090cdf99ee1a5ae74ff6dcd5ace28d3d60ea2db5841544e2ae56e68 |
| hovercard-subject-tag | repository:94127759 |
| github-keyboard-shortcuts | repository,copilot |
| google-site-verification | Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I |
| octolytics-url | https://collector.github.com/github/collect |
| analytics-location | / |
| fb:app_id | 1401488693436528 |
| apple-itunes-app | app-id=1477376905, app-argument=https://github.com/IBM/visualize-data-with-python/graphs/commit-activity |
| twitter:image | https://opengraph.githubassets.com/256f2085b26f3c8db6a66e8c728ec0e4d103b0318b129e63f95ce3eeea08f14b/IBM/visualize-data-with-python |
| twitter:card | summary_large_image |
| og:image | https://opengraph.githubassets.com/256f2085b26f3c8db6a66e8c728ec0e4d103b0318b129e63f95ce3eeea08f14b/IBM/visualize-data-with-python |
| og:image:alt | A Jupyter notebook using some standard techniques for data science and data engineering to analyze data for the 2017 flooding in Houston, TX. - Commits · IBM/visualize-data-with-python |
| og:image:width | 1200 |
| og:image:height | 600 |
| og:site_name | GitHub |
| og:type | object |
| hostname | github.com |
| expected-hostname | github.com |
| None | 043a09521e81f00c45482046b3f38390b8b292cf9a86ad665a632633a072c05c |
| turbo-cache-control | no-cache |
| go-import | github.com/IBM/visualize-data-with-python git https://github.com/IBM/visualize-data-with-python.git |
| octolytics-dimension-user_id | 1459110 |
| octolytics-dimension-user_login | IBM |
| octolytics-dimension-repository_id | 94127759 |
| octolytics-dimension-repository_nwo | IBM/visualize-data-with-python |
| octolytics-dimension-repository_public | true |
| octolytics-dimension-repository_is_fork | false |
| octolytics-dimension-repository_network_root_id | 94127759 |
| octolytics-dimension-repository_network_root_nwo | IBM/visualize-data-with-python |
| turbo-body-classes | logged-out env-production page-responsive |
| disable-turbo | false |
| browser-stats-url | https://api.github.com/_private/browser/stats |
| browser-errors-url | https://api.github.com/_private/browser/errors |
| release | 98881eadf8ae73000970c42161c094b0809b1330 |
| ui-target | full |
| theme-color | #1e2327 |
| color-scheme | light dark |
Links:
Viewport: width=device-width