{"id":13857410,"url":"https://github.com/rstudio/ggvis","last_synced_at":"2025-12-15T00:16:05.570Z","repository":{"id":43473040,"uuid":"9779536","full_name":"rstudio/ggvis","owner":"rstudio","description":"Interactive grammar of graphics for R","archived":true,"fork":false,"pushed_at":"2024-02-09T13:18:45.000Z","size":4983,"stargazers_count":715,"open_issues_count":189,"forks_count":173,"subscribers_count":133,"default_branch":"main","last_synced_at":"2024-08-06T03:03:58.066Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rstudio.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","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":"2013-04-30T20:30:24.000Z","updated_at":"2024-06-29T05:52:29.000Z","dependencies_parsed_at":"2022-09-21T01:51:30.175Z","dependency_job_id":"3ba1cf0d-24c0-4cd6-8a4b-eb0865484ca4","html_url":"https://github.com/rstudio/ggvis","commit_stats":null,"previous_names":[],"tags_count":14,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rstudio%2Fggvis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rstudio%2Fggvis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rstudio%2Fggvis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rstudio%2Fggvis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rstudio","download_url":"https://codeload.github.com/rstudio/ggvis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":225920312,"owners_count":17545469,"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":[],"created_at":"2024-08-05T03:01:36.154Z","updated_at":"2025-12-15T00:16:05.532Z","avatar_url":"https://github.com/rstudio.png","language":"R","funding_links":[],"categories":["R","HTML Widgets","Tools","Graphic Displays"],"sub_categories":["Integrations"],"readme":"# ggvis\n\n## Status\n![](https://img.shields.io/badge/lifecycle-dormant-blue.svg)\n\nggvis is currently dormant. We fundamentally believe in the ideas that underlie ggvis: reactive programming is the right foundation for interactive visualisation. However, we are not currently working on ggvis because we do not see it as the most pressing issue for the R community as you can only use interactive graphics once you've successfuly tackled the rest of the data analysis process.\n\nWe hope to come back to ggvis in the future; in the meantime you might want to try out [plotly](https://plotly.com/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://posit.co/blog/shiny-0-12-interactive-plots-with-ggplot2/).\n\n## Introduction\n\nThe goal of ggvis is to make it easy to describe interactive web graphics in\nR. It combines:\n\n* a grammar of graphics from [ggplot2](https://github.com/tidyverse/ggplot2),\n\n* reactive programming from [shiny](https://github.com/rstudio/shiny), and\n\n* data transformation pipelines from [dplyr](https://github.com/tidyverse/dplyr).\n\nggvis graphics are rendered with [vega](https://github.com/trifacta/vega), so you can generate both raster graphics with HTML5 canvas and vector graphics with\n[svg](https://en.wikipedia.org/wiki/Scalable_Vector_Graphics). ggvis is less flexible than raw [d3](https://d3js.org/) or vega, but is much more succinct and is tailored to the needs of exploratory data analysis.\n\nIf you find a bug, please file a minimal reproducible example at https://github.com/rstudio/ggvis/issues. If you're not sure if something is a bug, you'd like to discuss new features or have any other questions about ggvis, please join us on the mailing list: https://groups.google.com/group/ggvis.\n\n## Installation\n\nInstall the latest release version from CRAN with:\n\n```R\ninstall.packages(\"ggvis\")\n```\n\nInstall the latest development version with:\n\n```R\n# install.packages(\"devtools\")\ndevtools::install_github(\"rstudio/ggvis\")\n```\n\n## Getting started\n\nYou construct a visualisation by piping pieces together with `%\u003e%`. The pipeline starts with a data set, flows into `ggvis()` to specify default visual properties, then layers on some visual elements:\n\n```R\nmtcars %\u003e% ggvis(~mpg, ~wt) %\u003e% layer_points()\n```\n\nThe vignettes, available from https://ggvis.rstudio.com/, provide many more details. Start with the introduction, then work your way through the more advanced topics. Also check out the\nvarious demos in the `demo/` directory. See the basics in `demo/scatterplot.r`\nthen check out the the coolest demos, `demo/interactive.r` and `demo/tourr.r`.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frstudio%2Fggvis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frstudio%2Fggvis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frstudio%2Fggvis/lists"}