{"id":21600186,"url":"https://github.com/datalorax/sds-r","last_synced_at":"2025-04-11T01:24:00.134Z","repository":{"id":41360388,"uuid":"304151217","full_name":"datalorax/sds-r","owner":"datalorax","description":"Repo for a draft book on social data science methods with R","archived":false,"fork":false,"pushed_at":"2022-07-01T00:09:28.000Z","size":64813,"stargazers_count":9,"open_issues_count":8,"forks_count":4,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-03-24T22:34:59.755Z","etag":null,"topics":["data-science","r","rstats","social-data-science"],"latest_commit_sha":null,"homepage":"https://sds.pub","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/datalorax.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-10-14T22:34:58.000Z","updated_at":"2022-07-01T00:02:22.000Z","dependencies_parsed_at":"2022-09-16T08:10:11.250Z","dependency_job_id":null,"html_url":"https://github.com/datalorax/sds-r","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/datalorax%2Fsds-r","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalorax%2Fsds-r/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalorax%2Fsds-r/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalorax%2Fsds-r/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datalorax","download_url":"https://codeload.github.com/datalorax/sds-r/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248323534,"owners_count":21084523,"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":["data-science","r","rstats","social-data-science"],"created_at":"2024-11-24T18:23:25.503Z","updated_at":"2025-04-11T01:23:55.123Z","avatar_url":"https://github.com/datalorax.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Netlify Status](https://api.netlify.com/api/v1/badges/752c3783-e9b3-4b22-ba7e-43ba4b761aff/deploy-status)](https://app.netlify.com/sites/nervous-golick-ef3308/deploys)\n\n# Social Data Science with R\nThis is basically course notes that may eventually turn into a book. It's a collaborative effort with [Brendan Cullen](https://github.com/brendanhcullen) and [Ouafaa Hmaddi](https://github.com/ohmaddi) and we'll see where it goes. The plan is to have multiple chapters of interactive exercises where you won't have to always leave the book to try things out. I'll update this README as we go and content is developed to provide a better overview of what we're covering (and link to any material we have created).\n\n## Code of Conduct\n\nPlease note that the sds-r project is released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/0/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.\n\n## Book outline \n\n### Section 1: Foundations\n\nGetting Started  \nProducing your first plot  \nBasic R Markdown  \nBasic data wrangling   \nTypes of data  \nTidy data  \nJoins  \nCollaborating with git and GitHub  \nA collaborative exploratory data analysis example  \nCollaborating with git and GitHub\nA collaborative exploratory data analysis example\n\n### Section 2: Data visualization \u0026 Communication\n\nIntroduction to visualizations    \nVisual perception     \nColor    \nRefining your plots     \nGeographic data    \nVisualizing uncertainty    \nTables \u0026 fonts    \nWebsites in R Markdown    \nFlex dashboards    \nShiny   \n\n### Section 3: Functional Programming\n\nData Types    \nIteration    \nBatch load and processing dat    \nList columns    \nParallel iterations    \nWriting functions    \nPackage development    \n\n### Section 4: Machine Learning\n\nInference vs. Prediction    \nEthics in Machine Learning    \nCross validation    \nCloud computing     \nExtending `lm`: Ridge, Lasso, Elastic net    \nFeature engineering    \n*K*-nearest neighbor    \nDecision trees    \nBagged trees \u0026 Random forests    \nBoosted Trees    \nModel Stacking    \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatalorax%2Fsds-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatalorax%2Fsds-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatalorax%2Fsds-r/lists"}