Middlebury

INTD 1131

Visual Data Analysis

Visual Data Analysis
“The greatest value of a picture is when it forces us to notice what we never expected to see” (John W. Tukey, American statistician). In this course we will focus on scientific data visualization, a powerful complement to statistical analysis. Using datasets from various fields, as well as students' choice, we will learn principles for processing and visualizing data. Throughout, we will use R, the premier programming language for data visualization and analysis. No previous knowledge of programming is assumed, but by course's end students will write powerful scripts to analyze and present data in a clear and compelling way. (Pass/Fail)
Subject:
Interdepartmental
Department:
Interdepartmental
Division:
Interdisciplinary
Requirements Fulfilled:
non-standard grade WTR

Sections in Winter 2017, School Abroad Japan (Tokyo)

Winter 2017

INTD1131A-W17 Lecture (Landis)