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Exploratory data analysis (or descriptive statistics) is used to summarize the collected data. EDA consists of organizing and summarizing the raw data,
discovering important features and patterns in the data and any striking deviations from those patterns, and then interpreting our findings in the context of the problem.

This can be useful for describing the distribution of a single variable (center, spread, shape, outliers), checking data (for errors or other problems), checking assumptions to more complex statistical analyses, and investigating relationships between variables.

Exploratory Data Analysis Introduction

Published: Jul 23rd, 2013

View Lecture Slides with Transcript – Exploratory Data Analysis Introduction Video (4:49) Video – Recorded Live (2:15) This short video contains an overview of exploratory data analysis as well as […]

The Big Picture of Statistics

Published: Jun 12th, 2013

View Lecture Slides with Transcript – The Big Picture of Statistics Video (4:59) This document is linked from The Big Picture.

Unit 1: Exploratory Data Analysis

Unit 1: Exploratory Data Analysis

Published: Jul 30th, 2012

The Big Picture Exploratory Data Analysis Important Features of Exploratory Data Analysis Examining Distributions CO-1: Describe the roles biostatistics serves in the discipline of public health. CO-6: Apply basic concepts of […]

The Big Picture

The Big Picture

Published: Jul 30th, 2012

CO-1: Describe the roles biostatistics serves in the discipline of public health. Throughout the course, we will add to our understanding of the definitions, concepts, and processes which are introduced here. […]