{"Package":"ggvis","Title":"Interactive Grammar of Graphics","Description":"An implementation of an interactive grammar of graphics, taking the\nbest parts of 'ggplot2', combining them with the reactive framework of\n'shiny' and drawing web graphics using 'vega'.","Version":"0.4.4","Authors@R":"c(\nperson(\"Winston\", \"Chang\", role = c(\"aut\", \"cre\"), email = \"winston@rstudio.com\"),\nperson(\"Hadley\", \"Wickham\", role = \"aut\", email = \"hadley@rstudio.com\"),\nperson(family = \"RStudio\", role = \"cph\"),\nperson(family = \"jQuery Foundation\", role = \"cph\",\ncomment = \"jQuery library and jQuery UI library\"),\nperson(family = \"jQuery contributors\", role = c(\"ctb\", \"cph\"),\ncomment = \"jQuery library; authors listed in inst/www/lib/jquery/AUTHORS.txt\"),\nperson(family = \"jQuery UI contributors\", role = c(\"ctb\", \"cph\"),\ncomment = \"jQuery UI library; authors listed in inst/www/lib/jquery-ui/AUTHORS.txt\"),\nperson(\"Mike\", \"Bostock\", role = c(\"ctb\", \"cph\"), comment = \"D3 library\"),\nperson(family = \"D3 contributors\", role = \"ctb\",\ncomment = \"D3 library; authors listed at https://github.com/mbostock/d3/graphs/contributors\"),\nperson(family = \"Trifacta Inc.\", role = \"cph\",\ncomment = \"Vega library\"),\nperson(family = \"Vega contributors\", role = \"ctb\",\ncomment = \"Vega library; authors listed at https://github.com/trifacta/vega/graphs/contributors\"),\nperson(\"Sebastin\", \"Dcima\", role = c(\"ctb\", \"cph\"),\ncomment = \"javascript-detect-element-resize library\")\n)","URL":"http://ggvis.rstudio.com/","Depends":"R (>= 3.0)","Imports":"assertthat, jsonlite (>= 0.9.11), shiny (>= 0.11.1), magrittr,\ndplyr (>= 0.4.0), lazyeval, htmltools (>= 0.2.4), methods","Suggests":"MASS, mgcv, lubridate, testthat (>= 0.8.1), knitr (>= 1.6),\nrmarkdown","Encoding":"UTF-8","License":"GPL-2 | file LICENSE","LazyData":"true","RoxygenNote":"6.1.0.9000","NeedsCompilation":"no","Packaged":"2018-09-28 21:20:56 UTC; winston","Author":"Winston Chang [aut, cre],\nHadley Wickham [aut],\nRStudio [cph],\njQuery Foundation [cph] (jQuery library and jQuery UI library),\njQuery contributors [ctb, cph] (jQuery library; authors listed in\ninst/www/lib/jquery/AUTHORS.txt),\njQuery UI contributors [ctb, cph] (jQuery UI library; authors listed in\ninst/www/lib/jquery-ui/AUTHORS.txt),\nMike Bostock [ctb, cph] (D3 library),\nD3 contributors [ctb] (D3 library; authors listed at\nhttps://github.com/mbostock/d3/graphs/contributors),\nTrifacta Inc. [cph] (Vega library),\nVega contributors [ctb] (Vega library; authors listed at\nhttps://github.com/trifacta/vega/graphs/contributors),\nSebastin Dcima [ctb, cph] (javascript-detect-element-resize library)","Maintainer":"Winston Chang ","Repository":"CRAN","Date/Publication":"2018-09-28 21:50:03 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ggvis_0.4.4.tar.gz","jsonAuthors":[{"name":"Winston Chang","email":"winston@rstudio.com","maintainer":true},{"name":"Hadley Wickham","email":"hadley@rstudio.com","maintainer":false},{"name":" RStudio","email":null,"maintainer":false},{"name":" jQuery Foundation","email":null,"maintainer":false},{"name":" jQuery contributors","email":null,"maintainer":false},{"name":" jQuery UI contributors","email":null,"maintainer":false},{"name":"Mike Bostock","email":null,"maintainer":false},{"name":" D3 contributors","email":null,"maintainer":false},{"name":" Trifacta Inc.","email":null,"maintainer":false},{"name":" Vega contributors","email":null,"maintainer":false},{"name":"Sebastin Dcima","email":null,"maintainer":false}],"readme":"# ggvis\n[![Build Status](https://travis-ci.org/rstudio/ggvis.svg?branch=master)](https://travis-ci.org/rstudio/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://plot.ly/ggplot2/getting-started/) or creating inteactive graphics [with shiny](https://blog.rstudio.com/2015/06/16/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](http://github.com/hadley/ggplot2),\n \n* reactive programming from [shiny](http://github.com/rstudio/shiny), and\n\n* data transformation pipelines from [dplyr](http://github.com/hadley/dplyr).\n\nggvis graphics are rendered with [vega](https://github.com/trifacta/vega), so you can generate both raster graphics with [HTML5 canvas](http://diveintohtml5.info/canvas.html) and vector graphics with\n[svg](http://en.wikipedia.org/wiki/Scalable_Vector_Graphics). ggvis is less flexible than raw [d3](http://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 http://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(\"hadley/lazyeval\", build_vignettes = FALSE)\ndevtools::install_github(\"hadley/dplyr\", build_vignettes = FALSE)\ndevtools::install_github(\"rstudio/ggvis\", build_vignettes = FALSE)\n```\n\n## Getting started\n\nYou construct a visualisation by piping pieces together with `%>%`. 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 %>% ggvis(~mpg, ~wt) %>% layer_points()\n```\n\nThe vignettes, available from http://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`.","jobInfo":{"package":"ggvis","version":"0.4.4","parsingStatus":"success","parserVersion":1,"parsedAt":"2019-10-26T07:30:22+0000"}}

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