Introduction

Exploratory Data Analysis (EDA) is an approach to analysing data sets to summarize their main characteristics, often with visual methods. EDA is primarily used for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. EDA was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments.

Unlike a traditional course on Statistics, EDA consists of a collection of techniques to explore data which includes Stem and Leaf Display, Letter Value Display, Box Plots, Resistant Line, Resistant Smoothing, Coded Tables and Median Polish.

This workshop would cover the basic topics of EDA with a combination of lectures, computer demonstrations and hands-on practise using R to perform EDA.

** No pre-requisite knowledge in R is required.


Speaker:

Assoc. Prof. Dr. Mohd Bakri Adam is the head of the Laboratory of Statistical and Computing Services, Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia.


Who Should Attend

Postgraduate students, academicians, and researchers who wish to learn EDA techniques for data analysis.

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