{"id":32200973,"url":"https://github.com/trr266/expandar","last_synced_at":"2025-10-22T03:58:10.901Z","repository":{"id":40583995,"uuid":"116586550","full_name":"trr266/ExPanDaR","owner":"trr266","description":"R Package for Interactive Panel Data Exploration","archived":false,"fork":false,"pushed_at":"2025-04-06T14:10:51.000Z","size":55156,"stargazers_count":160,"open_issues_count":6,"forks_count":46,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-10-22T03:57:49.789Z","etag":null,"topics":["accounting","eda","exploratory-data-analysis","finance","open-science","package","r","replication","shiny","shiny-apps"],"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/trr266.png","metadata":{"files":{"readme":"README.Rmd","changelog":"NEWS.md","contributing":null,"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":"2018-01-07T17:49:01.000Z","updated_at":"2025-10-19T06:03:04.000Z","dependencies_parsed_at":"2025-04-06T15:34:36.004Z","dependency_job_id":null,"html_url":"https://github.com/trr266/ExPanDaR","commit_stats":null,"previous_names":["trr266/expandar","joachim-gassen/expandar"],"tags_count":7,"template":false,"template_full_name":null,"purl":"pkg:github/trr266/ExPanDaR","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trr266%2FExPanDaR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trr266%2FExPanDaR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trr266%2FExPanDaR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trr266%2FExPanDaR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/trr266","download_url":"https://codeload.github.com/trr266/ExPanDaR/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/trr266%2FExPanDaR/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":280376547,"owners_count":26320275,"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","status":"online","status_checked_at":"2025-10-22T02:00:06.515Z","response_time":63,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["accounting","eda","exploratory-data-analysis","finance","open-science","package","r","replication","shiny","shiny-apps"],"created_at":"2025-10-22T03:58:09.818Z","updated_at":"2025-10-22T03:58:10.896Z","avatar_url":"https://github.com/trr266.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"---\noutput: github_document\n---\n\n```{r setup, include=FALSE}\nknitr::opts_chunk$set(echo = TRUE, fig.align = \"center\", table.align = \"center\", warnings = FALSE)\nlibrary(ExPanDaR)\nlibrary(knitr)\n```\n\n# ExPanDaR: Explore Your Data Interactively \u003cimg src=\"logo.png\" align=\"right\" /\u003e\n\n[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active)\n[![Travis-CI Build Status](https://travis-ci.org/trr266/ExPanDaR.svg?branch=master)](https://travis-ci.org/trr266/ExPanDaR)\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ExPanDaR)](https://cran.r-project.org/package=ExPanDaR)\n[![CRAN\\_Download\\_Badge](http://cranlogs.r-pkg.org/badges/grand-total/ExPanDaR)](https://cran.r-project.org/package=ExPanDaR)\n\n## Overview\n\nYou are visiting the github repository of the ExPanDaR (Explore Panel Data with R) package. ExPanDaR provides the code base for the ExPanD web app. ExPanD is a shiny based app supporting interactive exploratory data analysis.\n\nExPanD has two purposes:\n\n- Provide a toolbox for researchers to explore data on the fly, now also\nallowing them to download R notebook code that reflects their analysis. \n- Enable users to assess the robustness of empirical evidence without providing them with access to the underlying data.\n\nWhile I hope that ExPanD will be particularly helpful in the academic review, publication and replication process I also think that it is convenient for typical exploratory data analysis workflows. In addition, it has already proven to be helpful in the classroom.\n\nThis is what ExPanD looks like:\n\n```{r, out.width = \"90%\", fig.align=\"center\", fig.border = \"none\", echo=FALSE}\nknitr::include_graphics(\"vignettes/figures/ExPanD_simple_03.jpg\")\n```\n\nIf you are interested to see what ExPanD has to offer without diving into R, click [here](https://jgassen.shinyapps.io/expand_wb/) to explore an instance of ExPanD that hosts World Bank data or click\n[here](https://jgassen.shinyapps.io/expand_r3/) for a financial accounting and stock returns dataset of U.S. firms.\n\nTo see how ExPanD can be customized, take a look at [this blog post](https://joachim-gassen.github.io/2019/04/customize-your-interactive-eda-explore-the-fuel-economy-of-the-u.s.-car-market/) that generates [this display of the development of fuel economy in the U.S. car market](https://jgassen.shinyapps.io/expand_fuel_economy).\n\nIf you want to analyze your own data instead, you can also access a variant of ExPanD app [here](https://jgassen.shinyapps.io/expand/) that allows user-side data uploads. No worries: Your data won't be stored on the server and will get erased from memory as soon as you close the web connection. \n\n\n## Installation\n\nIf you are in for the full treat and want to test ExPanD from within R, run the following \nin your R session to install the ExPanDaR package from CRAN.\n\n```{r, eval=FALSE}\ninstall.packages(\"ExPanDaR\")\nlibrary(ExPanDaR)\n````\n\nOr, if you want to install the current development version from Github:\n\n```{r, eval=FALSE}\nif (!require(\"devtools\")) {\n  install.packages(\"devtools\")\n}\ndevtools::install_github(\"trr266/ExPanDaR\")\nlibrary(ExPanDaR)\n````\n\n\n## Basic Usage\n\nYou can either start ExPanD without arguments so that it starts with a file upload dialog...\n\n```{r, eval=FALSE}\nExPanD()\n```\n\n...or use it to explore a cross-sectional data frame with at least two numeric\nvariables...\n\n```{r, eval=FALSE}\nExPanD(mtcars)\n````\n\n...or start with one of the two example datasets that come with the package to\nunderstand hot to use it on long-format panel data.\n\nPlease note: The last parameter (`export_nb_option`) allows the user to download\na notebook and the data to continue the analysis in R. Maybe not the best idea\nif you are hosting your app publicly and want to keep its data private.\n\n```{r, eval=FALSE}\nExPanD(df = worldbank,  \n       df_def = worldbank_data_def, \n       var_def = worldbank_var_def,\n       df_name = \"World Bank Data\",\n       config_list = ExPanD_config_worldbank,\n       export_nb_option = TRUE)\n\nExPanD(df = russell_3000,  \n       df_def = russell_3000_data_def, \n       df_name = \"Russell 3000\",\n       config_list = ExPanD_config_russell_3000,\n       export_nb_option = TRUE)\n````\n\nSome additional information on how to use ExPanD can be found in the code file `ExPanDaR_examples.R` in the root directory.\n\n## Use ExPanDaR functions in your own EDA workflow\n\nBesides providing the ExPanD app, ExPanDaR comes with a set of functions that might be helpful in your own exploratory data analysis workflow, e.g., functions to quickly produce standard tables and plots. See [this vignette](https://trr266.github.io/ExPanDaR/articles/ExPanDaR-functions.html) for a quick walk-trough.\n\n\n## Further Information\n\nFor further information, please refer to the articles and function call references of the package documentation, available \n[here](https://trr266.github.io/ExPanDaR) for the CRAN version and \n[here](https://trr266.github.io/ExPanDaR/dev) for the current development version.\n\nEnjoy!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrr266%2Fexpandar","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftrr266%2Fexpandar","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftrr266%2Fexpandar/lists"}