discoveR: An exploratory data analyzer
Authors: Oldemar Rodríguez R., Diego Jiménez A.
Abstract: Performs an exploratory data analysis through a 'shiny' interface and interactive plots. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering, and the K-Means Method. Includes 3D plots for some of these methods.
Full Description: https://www.youtube.com/watch?v=l30FNQ8bUs4&ab_channel=OldemarRodriguez
Keywords: 3D plots, interactive plots, Exploratory data analysis, EDA, principal component analysis, PCA, k-means, hierarchical clustering
Shiny app: https://promidat.shinyapps.io/discoveR/
Repo: GitHub - PROMiDAT/discoveR: Realiza un análisis exploratorio mediante una interfaz gráfica.
RStudio Cloud: Posit Cloud
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