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wdiexplorer  

Explore World Development Indicators Data
View on CRAN: Click here


Download and install wdiexplorer package within the R console
Install from CRAN:
install.packages("wdiexplorer")

Install from Github:
library("remotes")
install_github("cran/wdiexplorer")

Install by package version:
library("remotes")
install_version("wdiexplorer", "0.1.2")



Attach the package and use:
library("wdiexplorer")
Maintained by
Oluwayomi Akinfenwa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
Provides a workflow for exploring World Development Indicators (WDI) country-level panel data. It downloads WDI data using the 'WDI' package and computes diagnostic indices that capture the temporal behaviour of the data by incorporating the grouping structure of the data. The set of diagnostic indices implemented includes variation features, trend and shape features, and sequential temporal features. This method is described in Akinfenwa, Cahill, and Hurley (2025) "'wdiexplorer': An R package Designed for Exploratory Analysis of World Development Indicators (WDI) Data" <doi:10.48550/arXiv.2511.07027>. We adapt the clustering diagnostics and visualisation methodology described in Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7> and selected time series features from Hyndman and Athanasopoulos (2021) "Forecasting: Principles and Practice" <https://otexts.com/fpp3/>.
How to cite:
Oluwayomi Akinfenwa (2026). wdiexplorer: Explore World Development Indicators Data. R package version 0.1.2, https://cran.r-project.org/web/packages/wdiexplorer. Accessed 28 Aug. 2026.
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