{"id":15899463,"url":"https://github.com/reshamas/pyohio-plotly","last_synced_at":"2025-03-20T18:30:48.629Z","repository":{"id":150459341,"uuid":"366849282","full_name":"reshamas/pyohio-plotly","owner":"reshamas","description":"PyOhio: Annotating Plotly Visualizations","archived":false,"fork":false,"pushed_at":"2021-10-02T18:12:55.000Z","size":15988,"stargazers_count":4,"open_issues_count":1,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-01T00:36:56.493Z","etag":null,"topics":["covid19-tracker","data-visualization","pandas-python","plotly","python"],"latest_commit_sha":null,"homepage":"","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/reshamas.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-05-12T20:45:44.000Z","updated_at":"2024-07-03T19:48:29.000Z","dependencies_parsed_at":"2023-04-18T09:32:11.867Z","dependency_job_id":null,"html_url":"https://github.com/reshamas/pyohio-plotly","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reshamas%2Fpyohio-plotly","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reshamas%2Fpyohio-plotly/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reshamas%2Fpyohio-plotly/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/reshamas%2Fpyohio-plotly/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/reshamas","download_url":"https://codeload.github.com/reshamas/pyohio-plotly/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244077856,"owners_count":20394354,"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":["covid19-tracker","data-visualization","pandas-python","plotly","python"],"created_at":"2024-10-06T10:21:22.240Z","updated_at":"2025-03-20T18:30:48.624Z","avatar_url":"https://github.com/reshamas.png","language":"Jupyter Notebook","readme":"# PyOhio: Annotating Plotly Visualizations\n\n### Speaker:  Reshama Shaikh [(@reshamas)](https://twitter.com/reshamas)\n\n### Slides:  [PyOhio 2021: Enriching Data Visualizations with Annotations in Plotly](https://docs.google.com/presentation/d/1SFaoSvKxqnun0cYtSluE9fBm-113ivxm_DmggVR7i4A/edit?usp=sharing)\n\n### Video: [PyOhio 2021: Enriching Data Visualizations with Annotations in Plotly](https://youtu.be/D2vsLy85rog)\n\n### Article on Medium:  [Creating Annotations in Python Plotly](https://medium.com/@reshamas/enriching-data-visualizations-with-annotations-in-plotly-using-python-6127ff6e0f80)\n\n### Video Preview:  [Annotation Examples](https://youtu.be/k7kcMg4Ao7Y)\n\n\u003ca href=\"http://www.youtube.com/watch?feature=player_embedded\u0026v=k7kcMg4Ao7Y\" target=\"_blank\"\u003e\u003cimg src=\"http://img.youtube.com/vi/k7kcMg4Ao7Y/0.jpg\" \nalt=\"PyOhio Preview: Enriching Data Visualizations with Annotations in Plotly\" width=\"50%\" /\u003e\u003c/a\u003e\n\n\n![f1.png](images/speaker_reshama_shaikh.jpg)\n\n\n### Conference\n- [PyOhio](https://www.pyohio.org/2021/)\n- July 31, 2021 (Saturday)\n\n### Talk\nEnriching Data Visualizations with Annotations in Plotly\n\n\n### Session Type\nThunder talk:  10 minutes\n\n### Talk Description\n[Plotly](https://plotly.com/python/) is a versatile python graphing library which lets us make interactive graphs.  In this talk, I will show how to go from a typical static visualization to one enriched with annotations which will convey to your audience a more complete interpretation of your visualization. \n\nHere are some sample [plotly visualizations](https://reshamas.github.io/covid19-plots/) I have made, and in this talk, I will share how to create them.\n\n### Talk objective  \nGetting started annotating graphs.\n\n### Link to GitHub Repo\nhttps://github.com/reshamas/pyohio-plotly\n\n### Link to Video Demo\nhttps://twitter.com/reshamas/status/1406792972226682881\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freshamas%2Fpyohio-plotly","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Freshamas%2Fpyohio-plotly","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Freshamas%2Fpyohio-plotly/lists"}