Exploring and clustering data

Free webinar

Exploring and clustering data




Exploratory statistics allow to summarize information contained in datasets of various volumes using dimension-reduction and segmentation features.

Table of contents

  • XLSTAT: who are we?
  • Statistics: families of tools
  • Reminder: Variables, Individuals, Descriptive Statistics
  • Exploring & Clustering data
  • Exploring data: Principal Component Analysis (PCA)
  • Clustering data: Agglomerative Hierarchical Clustering (AHC)

Video recording

Writer profil

Jean-Paul Maalouf

Job title

Jean-Paul Maalouf is a senior statistics consultant who joined the Addinsoft team in 2014. He holds a PhD in biology and has extensive experience in teaching statistics, which he has been doing intensively since 2012. He has taught at the largest French research institutions (INRA, CNRS, INSERM, CIRAD, several universities), as well as at private companies around the world. His teaching methods are based on a conceptual approach and are more focused on concrete examples than on the explanation of complex mathematical formulas. The concepts are thus easily grasped by people who do not necessarily have a background in mathematics but wish to become quickly operational in the field of data analysis.

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