Introduction

Instructor/Author: Zhenyuan Lu

Version: 1.0.1

This is the course notes for IE6600 Computation and Visualization course, which has covered the following semesters:

• Spring 23, Fall 22, Summer 22, Spring 22, Fall 21, Summer 21, Spring 21, Fall 20, Spring 20, Spring 19

Description

IE6600 covers basic of the R, and R Shiny for data preprocessing, and visualization. It introduces students to static and interactive visualization, dashboard, and platform that reveal information, patterns, interactions, and comparisons by paying attention to details such as color encoding, a shape selection, spatial layout, and annotation. Based on these fundamentals of analytical and creative thinking, the course then focuses on data visualization techniques and the use of the most current popular software tools that support data exploration, analytics-based storytelling and knowledge discovery, and decision-making in engineering, healthcare operations, manufacturing, and related applications.

Textbooks

Most of the course materials are borrowed from the following books/resources.

• R For Data Science (R4DS), Wickham, Hadley, and Garrett Grolemund
• R For Everyone (R4E), Lander, Jared P.
• R Markdown (RMD), Xie, Yihui, et al.
• Shiny tutorial, R Shiny

R-related Materials

• R Graphics Cookbook (RGC), Chang, Winston.
• Advanced R (ADR), Wickham, Hadley.
• R Packages (RPK), Wickham, Hadley.
• Text Mining with R (TM), Silge, Julia, and David Robinson.

Lectures