George Mason University
George Mason University Mason
George Mason University

STAT 463: Introduction to Exploratory Data Analysis

Instructor Information

Section Information

Features statistical graphics, maps and simple models used to bring out patterns in data. Introduces statistical software and addresses data access and import. Presents exploratory strategies motivating data transformations. Stresses the cognitive foundations of good graphics. Graphics include dot plots, box plots, Q-Q plots, parallel coordinate plots, scatterplot matrices and linked views. Exploration includes use of dynamic graphics.

Course Information from University Catalog

Limited to 2 Attempts


Features statistical graphics, maps and simple models used to bring out patterns in data. Introduces statistical software and addresses data access and import. Presents exploratory strategies motivating data transformations. Stresses the cognitive foundations of good graphics. Graphics include dot plots, box plots, Q-Q plots, parallel coordinate plots, scatterplot matrices and linked views. Exploration includes use of dynamic graphics.

When Offered: Alternate Spring

Hours of Lecture or Seminar per week: 3

Credits: 3

Prerequisites:

STAT 350, STAT 354, STAT 435, or equivalent.

Instructor Information
Expertise