{"id":23825993,"url":"https://github.com/axkent/launch-metrics","last_synced_at":"2026-06-05T16:31:35.692Z","repository":{"id":269549803,"uuid":"903232997","full_name":"axkent/Launch-Metrics","owner":"axkent","description":"Project for Posit's Closeread Prize","archived":false,"fork":false,"pushed_at":"2024-12-26T00:37:00.000Z","size":6285,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T01:44:07.356Z","etag":null,"topics":["baseball","closeread","quarto","quarto-extension","r"],"latest_commit_sha":null,"homepage":"https://axkent.quarto.pub/closeread-vectors-of-victory/","language":"HTML","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/axkent.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","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":"2024-12-14T04:06:49.000Z","updated_at":"2024-12-26T00:37:04.000Z","dependencies_parsed_at":"2024-12-24T11:52:17.408Z","dependency_job_id":null,"html_url":"https://github.com/axkent/Launch-Metrics","commit_stats":null,"previous_names":["axkent/launch-metrics"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axkent%2FLaunch-Metrics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axkent%2FLaunch-Metrics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axkent%2FLaunch-Metrics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/axkent%2FLaunch-Metrics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/axkent","download_url":"https://codeload.github.com/axkent/Launch-Metrics/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240113942,"owners_count":19749829,"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":["baseball","closeread","quarto","quarto-extension","r"],"created_at":"2025-01-02T12:14:04.585Z","updated_at":"2026-05-12T14:30:17.506Z","avatar_url":"https://github.com/axkent.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Closeread Project: Launch Metrics in a Baseball Series\n\n![READMEdemo](https://github.com/user-attachments/assets/137e5c2a-b5ff-41bc-80ad-827cbb7a6431)\n\n## Overview\nThis repository contains materials for my [Closeread](https://closeread.dev/) project, an analysis of the 2024 Dodgers-Padres playoff matchup. The project includes:\n\n- A Closeread article that explores the series' launch angle metrics, with a particular focus on home runs. \n- A Shiny app providing interactive visualizations and analysis of launch angle data. Most of the visualizations in the Closeread article were retrieved from the app. \n- Supporting data, a data retrieval script, and visualizations to build the article.\n\nYou can view the published Closeread article here:\n[Closeread Article](https://axkent.quarto.pub/closeread-vectors-of-victory/)\n\nThe Shiny app is hosted here:\n[Shiny App](https://axelkent.shinyapps.io/LaunchMetricsApp/)\n\n---\n### How to access the Closeread article locally\n1. Install the Closeread extension from [https://closeread.dev/](https://closeread.dev/).\n2. Run `index.qmd` in RStudio\n---\n### How to Access the Shiny App locally\n\n1. Navigate to the `shiny` folder\n2. Open `app.R` in RStudio and click **Run App**.\n\n---\n\n### Data and Visualizations\n- **Data**: The data used in the analysis is stored in the `shiny/` folder. You can regenerate the dataset using the `retrieve_data.R` script.\n- **Visualizations**: The visualizations, including those created by the Shiny app and others used in the Closeread article, are in the `visualizations/` folder.\n\n---\n\n### Acknowledgments\nThis is my project for submission to the [Closeread Prize](https://posit.co/blog/Closeread-prize-announcement/). Big thank you to the Posit community for their help and putting this event together.\n\nI would like to acknowledge [Jim Albert](https://gist.github.com/bayesball), for his visualizations created on his blog post titled [\"Zack Wheeler’s Pitching in the 2023 NLCS\"](https://baseballwithr.wordpress.com/2023/10/23/zack-wheelers-pitching-in-the-2023-nlcs/) encouraged me to do a deep dive on the 2024 Dodgers-Padres playoff series. Albert's code used to generate that blog post's visualizations is found [here](https://gist.github.com/bayesball/a1f8ddb4593e7b31b83022e511f5e560).\n\nI would also like to acknowledge [Robert Frey](https://github.com/robert-frey), for his YouTube tutorial titled [\"Combine Video with a Savant Dataset!\"](https://www.youtube.com/watch?v=a_fIJxuaQL8) and code demonstrated how to retrieve videos for each observation. Frey's code is available [here](https://github.com/robert-frey/YouTube/blob/master/Combine%20Video%20with%20a%20Savant%20Dataset!/savant_videos.R).\n\n\n---\n\n### License\nThis project is licensed under the MIT License.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxkent%2Flaunch-metrics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxkent%2Flaunch-metrics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxkent%2Flaunch-metrics/lists"}