Home
1
Syllabus
2
Activities: Introductory
2.1
Getting Started in RStudio
2.1.1
Review + Assignment
2.1.2
Tidy Data
2.1.3
Data Basics in RStudio
2.2
R Markdown and Reproducible Research
3
Activities: Visualization
3.1
Introduction to Data Visualization
3.1.1
Motivation
3.1.2
Features of Good (& Bad) Visualizations
3.1.3
Grammar of Graphics
3.2
Univariate Visualizations
3.2.1
Practice
3.2.2
Exercises
3.3
Bivariate Visualizations
Practice
Exercises
3.4
Beyond Bivariate Relationships
3.4.1
Practice
3.4.2
Exercises
3.5
Visualization Wrap-Up
3.5.1
Practice
3.5.2
Exercises
4
Activities: Wrangling
4.1
Data Wrangling: Introduction
4.1.1
Tidy Data
4.1.2
Data Verbs
4.1.3
Piping
4.1.4
Manipulating Dates
4.1.5
Practice
4.1.6
Drills
4.2
Data Wrangling: Spread, Gather, Wide and Narrow
4.2.1
Spread
4.2.2
Gather
4.2.3
Summary Graphic
4.2.4
The Daily Show Guests
4.2.5
Recreating a Graphic
4.2.6
Gathering Practice
4.2.7
Practice Solutions:
4.3
Data Wranging: Joining Data Frames
5
Activities: EDA
5.1
EDA Case Study: Flight Delays
6
Activities: Classification & Prediction
6.1
Classification Trees
6.1.1
Discussion
6.1.2
Practice
6.2
Random Forests
6.2.1
Discussion
6.2.2
Practice
6.3
Regression Trees
6.3.1
Discussion
6.3.2
Practice
7
Activities: Acquiring Data
7.1
Finding, Importing, and Cleaning Data
7.1.1
Finding Existing Data Sets
7.1.2
Loading Datasets
7.1.3
Cleaning Datasets
7.1.4
Additional exercises
7.2
Introduction to SQL
7.2.1
Stack Exchange Data Explorer
7.2.2
Basic Select Queries
7.2.3
SQL Summarization
7.2.4
SQL Joins
7.2.5
Additional Exercises
7.3
Public Web APIs
7.3.1
Wrapper Packages
7.3.2
Accessing Web APIs Using JSON
7.4
Data Acquisition: Scraping
7.4.1
Finding CSS Selectors
7.4.2
Retrieving Data Using RVest & CSS Selector
7.4.3
Additional Exercises: Analyze Alexa Top Ranks
8
Additional Topics
8.1
Introduction to Text Processing in R
8.1.1
Getting Started with twitteR
8.1.2
Getting Strings, Technique 1: String Literals
8.1.3
Getting Strings, Technique 2: Reading .txt Files
8.1.4
Analyzing Single Documents
8.1.5
Getting Strings Technique 3: Web APIs
8.1.6
Comparing multiple documents
9
Homework
9.1
General Homework Directions
9.2
Homework 1
9.3
Homework 2
9.4
Homework 3
9.5
Homework 4
9.6
Homework 5
9.7
Homework 6
9.8
Homework 7
9.9
Homework 8
9.10
Homework 9
9.11
Homework 100
10
RStudio Cheat Sheets
11
Final Project
11.1
Brainstorming Ideas
11.2
Data Collection & Visualization
11.3
Progress Reports
11.4
Final Presentations
11.5
Final Reports
COMP/MATH 112: Introduction to Data Science
1
Syllabus
Please see
Moodle
for a syllabus.