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.
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 […]
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.
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 […]
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. […]