1 Class Introduction

Topics

  1. Data Manipulation
  2. Data Visualization
  3. Functional Programming
  4. Data Modeling
  5. Text Analysis

Incorporating Intermediate R Techniques

1.1 Expectations

By taking this course, we assume you have a working knowledge of the following…

  1. Base R and RStudio Functionality
  2. Basic ‘tidy’ concepts
  3. Introductory Statistics
  4. Dad Jokes

Give it a shot, if its too much or too little, will not be offended if you leave.

Its okay to struggle.

1.2 Distance Learning Challenges

  1. Expected to be in person
  2. Unknown number of students in class
  3. Asking Questions - both verbally and in chat
  4. How to know if you are following along
  5. Speed of going through the material

1.3 Class Structure

  1. 7 HOURS!
  2. ~ 50:10 Work to break - 1 HR Lunch
  3. We will ask for feedback to get a feel for understanding
  4. We will try to answer questions in chat

1.4 Learning Recommendations

  1. Use RMD files provided in repo (will get this this later)
  2. Take notes with comments
  3. Execute code along with us
  4. Ask questions in chat

1.5 Class Introductions

Might pass on this given the classroom size.

Around the (virtual) room:

  • Where you are from:
  • Who you work for:
  • How you are involved in Data Science: (ie - statistics, coding, application building, manager, etc)
  • R Coding Experience
  • Favorite sports team:

1.6 Instructors Introduction

1.6.1 MAJ Dusty Turner

Army

  • Combat Engineer
  • Platoon Leader / XO / Company Commander
  • Geospatial / Sapper / Route Clearance
  • Hawaii / White Sands Missile Range / Iraq / Afghanistan

Education

  • West Point ’07
    • Operations Research, BS
  • Missouri University of Science and Technology ’12
    • Engineering Management, MS
  • THE Ohio State ’16
    • Integrated Systems Engineering, MS
    • Applied Statistics, Graduate Minor

Data Science

1.6.2 Robert Ward

Education

  • University of Chicago, ’13
    • Political Science & English, BA
  • Columbia University School of International and Public Affairs, ’18
    • Master of International Affairs, Specialization in Advanced Policy and Economic Analysis

Data Science

  • R user since 2011; also know some python and forgot some Stata
  • Worked for GAO Applied Research & Methods
  • ORSA at CAA and Army Leader Dashboard/Vantage PM team

1.7 Course Intent

  • Be interactive
  • Ask questions at any point
  • Don’t let me move too fast (or too slow)
  • Run the code with me
  • Use course materials (we’ll get to that in a second)

1.8 Tidy Ecosystem

1.9 Get Course Documents

github repo

SSH:

git clone git@github.com:dusty-turner/MORS-Intermediate-R.git

HTTPS:

https://github.com/dusty-turner/MORS-Intermediate-R.git

1.9.1 {-} R Markdown

While we’re here, lets do a quick overview of R Markdown.