Secondary data to support clustering countries according their performance on Sustainable Development Goals

The primary data that support this research was provided in "Sachs, Jeffrey D., G.F. Guillaume Lafortune, Drumm, E.: Implementing theSDG Stimulus. Sustainable Development Report 2023, p. 534. SDSN and Dublin University Press, Dublin, Ireland (2023). https://doi.org/10.25546/102924_2023" and is available at \url{https://dashboards.sdgindex.org/downloads/}, licensed under the Creative Commons Attribution-ShareAlike 4.0 International License.The secondary data which resulted from processing the primary data, and that supported the findings of this study are included as the following supplementary files to this manuscript and will be also available at this zip file.SupSDG2023toInputVisualClusteringAPP.csv: this archive contains the result from filling blank cells of in the 2023 Edition of SDG index Scores. The csv format of the data in this files is suitable to enter into Visual Clustering APP.SDGvkmeansk4 and SDGvkmeansk9: these files store, respectively for $k=4$ and $k=9$, the inputs to Step3 of algorithm KRP2 regarding the coordinates of clusters' centroids. This format is suitable to be uploaded by Visual Outdeck APP, to run the Step 3 which applies the PROMETHEE II algorithm \cite{promethee_Brans_1986} to rank the clusters.supSDGfinalResults.xlsx: This file summarizes the results and is composed by three worksheets. The first one with the countries name,code, geographical area, index scores, clusters and categories in which the countries were assigned. The second and third worksheets, shows the clusters coordinates for $k=4$ and $k=9$, respectively.