Package: AutoViz 1.0.0
AutoViz: Automated Data Visualization and Exploratory Dashboarding
Provides automated exploratory data analysis, visualization recommendation, summary statistics, missing-value assessment, outlier screening, and HTML dashboard generation for rectangular data. The package automatically identifies variable types and common analytical relationships and recommends appropriate visualization methods based on data structure, cardinality, and analytical objectives. It provides a transparent, reproducible workflow for data profiling and visualization that can be used independently or as a component within interactive applications.
Authors:
AutoViz_1.0.0.tar.gz
AutoViz_1.0.0.zip(r-4.7-any)AutoViz_1.0.0.zip(r-4.6-any)
AutoViz_1.0.0.tar.gz(r-4.7-any)AutoViz_1.0.0.tar.gz(r-4.6-any)
AutoViz_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
AutoViz/json (API)
| # Install 'AutoViz' in R: |
| install.packages('AutoViz', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vinodhpmd/autoviz/issues
Last updated from:0c6cfd7c6b. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 128 | ||
| source / vignettes | OK | 202 | ||
| linux-release | OK | 132 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 74 | ||
| wasm-release | OK | 109 |
Exports:autovizvb_dashboardvb_missingvb_outliersvb_plotvb_profilevb_recommendvb_summary
Dependencies:base64encclicpp11digestfarverfastmapggplot2gluegtablehtmltoolsisobandlabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Run an automated EDA workflow | autoviz |
| Generate an HTML dashboard | vb_dashboard |
| Assess missing values | vb_missing |
| Detect simple numeric outliers using the IQR rule | vb_outliers |
| Create a recommended visualization | vb_plot |
| Profile a rectangular dataset | vb_profile |
| Recommend visualizations from a dataset | vb_recommend |
| Summarize a dataset | vb_summary |