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  "Title": "Explore World Development Indicators Data",
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  "Description": "Provides a workflow for exploring World Development\nIndicators (WDI) country-level panel data. It downloads WDI\ndata using the 'WDI' package and computes diagnostic indices\nthat capture the temporal behaviour of the data by\nincorporating the grouping structure of the data. The set of\ndiagnostic indices implemented includes variation features,\ntrend and shape features, and sequential temporal features.\nThis method is described in Akinfenwa, Cahill, and Hurley\n(2025) \"wdiexplorer: An R package Designed for Exploratory\nAnalysis of World Development Indicators (WDI) Data\"\n<doi:10.48550/arXiv.2511.07027>. We adapt the clustering\ndiagnostics and visualisation methodology described in\nRousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7> and\nselected time series features from Hyndman and Athanasopoulos\n(2021) \"Forecasting: Principles and Practice\"\n<https://otexts.com/fpp3/>.",
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  "Date/Publication": "2026-04-20 14:06:18 UTC",
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      ]
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