Related Experiment Video
Updated: Oct 13, 2026

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
Published on: January 2, 2011
Exploratory data analysis: data visualization or torture?
1Highland Hospital, Rochester, NY 14620, USA.
Abstract:
Exploratory Data Analysis offers a set of graphical and statistical tools to find the full meaning from data sets. The user visualizes, analyzes, and transforms data distributions with these tools. Graphs reveal relationships between variables; the residuals left after fitting data show the adequacy of the model. Without this careful examination and understanding of the data, rote data analysis using standard statistical tests can give misleading results. Exploratory Data Analysis has its own set of pitfalls and must be used with confirmatory statistics and studies. Increasing power and resolution in personal computers enables modern statistical software to make these methods widely accessible. By easily moving between data and their graphic representation, analysis can be comprehensive without being tedious. Exploratory Data Analysis can add an exciting and useful tool to the epidemiologist's repertoire. This article illustrates several tools from an evolving list.
More Related Videos
Related Concept Videos
Data Collection by Experiments
An example of the experimental method is a public clinical trial...
Review and Preview
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Censoring Survival Data
Survival Tree
Building a Survival Tree
Constructing a survival tree begins...

