Package: ExPanDaR 0.5.3.9000

ExPanDaR: Explore Your Data Interactively

Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.

Authors:Joachim Gassen [aut, cre]

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ExPanDaR.pdf |ExPanDaR.html✨
ExPanDaR/json (API)
NEWS

# Install 'ExPanDaR' in R:

install.packages('ExPanDaR', repos = c('https://joachim-gassen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/joachim-gassen/expandar/issues

Datasets:

ExPanD_config_russell_3000 - Default Configuration to use with ExPanD and the Russell 3000 Data Set
ExPanD_config_worldbank - Default Configuration to Use with ExPanD and the 'worldbank' Data Set
russell_3000 - Annual Financial Accounting and Stock Return Data for a Sample of Russell 3000 Firms
russell_3000_data_def - Data Definitions for 'russell_3000' Data Set
worldbank - A Snapshot of Macroeconomic Data as Provided by the World Bank API
worldbank_data_def - Data Definitions for 'worldbank' Data Set
worldbank_var_def - Variable Definitions to Construct an Analysis Sample Based on the 'worldbank' Data Set

On CRAN:

accounting eda exploratory-data-analysis finance open-science replication shiny shiny-apps

14 exports 151 stars 4.84 score 112 dependencies 412 downloads

Last updated 3 years agofrom:db64a5335b

Exports:ExPanD prepare_by_group_bar_graph prepare_by_group_trend_graph prepare_by_group_violin_graph prepare_correlation_graph prepare_correlation_table prepare_descriptive_table prepare_ext_obs_table prepare_missing_values_graph prepare_quantile_trend_graph prepare_regression_table prepare_scatter_plot prepare_trend_graph treat_outliers

Dependencies:askpass base64enc bit bit64 boot bslib cachem cellranger cli clipr colorspace commonmark corrplot cpp11 crayon crosstalk curl data.table digest dplyr DT evaluate fansi farver fastmap fontawesome forcats foreign Formula fs generics ggplot2 glue gtable haven highr hms htmltools htmlwidgets httpuv isoband jquerylib jsonlite kableExtra knitr labeling later lattice lazyeval lfe lifecycle lmtest magrittr MASS Matrix memoise mgcv mime multiwayvcov munsell nlme openssl pillar pkgconfig prettyunits progress promises purrr R.methodsS3 R.oo R.utils R6 rappdirs RColorBrewer Rcpp readr readxl rematch rio rlang rmarkdown rstudioapi sandwich sass scales shiny shinycssloaders sourcetools stargazer stringi stringr svglite sys systemfonts tibble tictoc tidyr tidyselect tinytex tzdb utf8 vctrs viridisLite vroom withr writexl xfun xml2 xtable yaml zip zoo

Customize ExPanD

Joachim Gassen

Rendered fromcustomize_ExPanD.Rmdusingknitr::rmarkdownon Jul 13 2024.

Last update: 2020-12-05
Started: 2019-04-05

Using ExPanD for Panel Data Exploration

Joachim Gassen

Rendered fromuse_ExPanD.Rmdusingknitr::rmarkdownon Jul 13 2024.

Last update: 2020-12-05
Started: 2018-03-18

Using the ExPanD Notebook function

Joachim Gassen

Rendered fromExPanD_notebook.Rmdusingknitr::rmarkdownon Jul 13 2024.

Last update: 2020-01-23
Started: 2020-01-17

Using the functions of the ExPanDaR package

Joachim Gassen

Rendered fromExPanDaR-functions.Rmdusingknitr::rmarkdownon Jul 13 2024.

Last update: 2020-12-05
Started: 2018-04-11

Help page	Topics
Explore Your Data (ExPanD)	ExPanD
Default Configuration to use with ExPanD and the Russell 3000 Data Set	ExPanD_config_russell_3000
Default Configuration to Use with ExPanD and the 'worldbank' Data Set	ExPanD_config_worldbank
ExPanDaR: Explore Panel Data with R	ExPanDaR
Prepares a by Group Bar Graph	prepare_by_group_bar_graph
Prepares a By Group Trend Graph	prepare_by_group_trend_graph
Prepares a by Group Violin Graph	prepare_by_group_violin_graph
Prepares a Correlation Graph	prepare_correlation_graph
Prepares a Correlation Table	prepare_correlation_table
Prepares a Table of Descriptive Statistics	prepare_descriptive_table
Prepares a Table Displaying Extreme Observations	prepare_ext_obs_table
Prepares a Graph Displaying Missing Values in Panel Data	prepare_missing_values_graph
Prepares a Quantile Trend Graph	prepare_quantile_trend_graph
Prepares a Regression Table	prepare_regression_table
Prepares a Scatter Plot	prepare_scatter_plot
Prepares a Trend Graph	prepare_trend_graph
Annual Financial Accounting and Stock Return Data for a Sample of Russell 3000 Firms (2013-2016)	russell_3000
Data Definitions for 'russell_3000' Data Set	russell_3000_data_def
Treats Outliers in Numerical Data	treat_outliers
A Snapshot of Macroeconomic Data as Provided by the World Bank API (1960 - 2018)	worldbank
Data Definitions for 'worldbank' Data Set	worldbank_data_def
Variable Definitions to Construct an Analysis Sample Based on the 'worldbank' Data Set	worldbank_var_def

Package: ExPanDaR 0.5.3.9000

ExPanDaR: Explore Your Data Interactively

Customize ExPanD

Using ExPanD for Panel Data Exploration

Using the ExPanD Notebook function

Using the functions of the ExPanDaR package

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)