We have brought this eGuide focusing entirely on the concept of clustering using the FactoExtra Package of R programming language. But, Why clustering? Well, it is one of the most essential concepts of unsupervised machine learning that helps experts to draw references from datasets consisting of input data without labeled responses. On the other hand, FactoExtra Package is known to provide easy to use functions for extracting or visualizing the multivariate data analysis output. It also includes CA, PCA, MCA, MFA & HMFA functions from different R packages.This eGuide explains all the essential aspects of clustering and will give insights into the usage of different packages of R programming like Clustering or FactoExtra for data visualization. This eGuide Includes:Intro to clusteringImportance of clusteringTypes of clustering algorithms: Hierarchical clustering & Partitional clusteringInstallation of R packages like “Clustering” & “FactoExtra”Implementing the clustering procedureDescriptive statistics module & ScalingImplementing a Kmeans algorithmVisualizing the cluster plotLearn the importance of clustering and the use of FactoExtra Package with this eGuide today!