shinyEDA

shinyEDA is a modular Shiny application for upload-driven exploratory data analysis. It supports local execution with shiny::runApp() and static GitHub Pages deployment with shinylive.

Local Run

From the repository root:

install.packages(c(
  "shiny", "bslib", "DT", "ggplot2", "dplyr", "tidyr",
  "openxlsx", "jsonlite", "htmltools", "scales", "rpart",
  "MASS", "lme4", "lmerTest", "performance"
))

shiny::runApp(".")

Upload a CSV, TXT, XLSX, or XLS dataset in Setup. For multi-sheet Excel workbooks, the app detects available sheets.

The Setup page also includes a lightweight example dataset, datasets::iris.

App Structure

app.R
R/
  config.R
  downloads.R
  edaData.R
  edaPlots.R
  edaStats.R
  navigation.R
  modules/
www/
tools/
.github/workflows/

The left sidebar includes:

• Home
• Setup
• Exploration
• Characterising variables
• Outliers detection
• Inliers detection
• GLM analysis
• LME analysis
• Dictionary

The top-right app bar includes a light/dark display toggle.

GitHub Pages Deployment

The included workflow exports the app with shinylive and deploys the generated static site.

To export locally:

install.packages("shinylive")

Rscript tools/export-shinylive.R

To preview the exported static site locally:

httpuv::runStaticServer("shinylive")

Internal Workbook Test

Run the workbook smoke test with an explicit workbook path:

Rscript tools/test-workbook.R ../example.xlsx

Close the workbook in Excel first if it is locked by another process.

shinylive Compatibility Notes

The app uses shiny, bslib, DT, ggplot2, dplyr, tidyr, openxlsx, jsonlite, htmltools, scales, rpart, MASS, lme4, lmerTest, and performance.

If additional packages are introduced later, confirm that WebAssembly binaries are available for shinylive. webR/shinylive cannot install R packages from source inside the browser.