Fall 2016 Topic List

In reverse chronological order. A more detailed outline can be found here. The GitHub repository corresponding to these lectures can be found here.

5. Text Data

• Mon Nov 14 - Lec21: Text mining with tm.
• Fri Nov 11 - Lec20: Mining tweets with twitteR.
• Mon Nov 7 - Lec19: String manipulation with stringr.

4. Maps and Spatial Data

• Fri Nov 4 - Lec18: Interactive maps with leaflet.
• Wed Nov 2 - HW-4: A partially open-ended real-life maps question.
• Mon Oct 31 - Lec17: Shiny Server + Finishing Choropleth.
• Fri Oct 28 - Lec16: Loading Shapefiles into R + Social Explorer
• Mon Oct 24 - Lec15: Spatial Data in R

3. Dates and Times

• Fri Oct 21 - Lec14: More lubridate
• Wed Oct 19 - HW-3: Final Project Details + HW-3
• Fri Oct 14 - Lec13: Dates and times with lubridate.

2. Regression

• Mon Oct 10 - Lec12: More logistic regression.
• Fri Oct 7 - Lec11: Logistic regression for prediction.

1. Data Manipulation and Data Visualization

• Wed Oct 5 - Lec10 + HW-2: Categorical variables with forcats + HW-2 Exploratory data analysis.
• Mon Oct 3 - Lec09: Shiny continued.
• Fri Sep 30 - Lec08: Interactive apps with Shiny.
• Wed Sep 28 - Lec07: Reshaping/tidying data with tidyr.
• Mon Sep 26 - Lec06: Finishing ggplot2.
• Fri Sep 23 - Lec05: More ggplot2.
• Wed Sep 21 - HW-1: Data manipulation with dplyr.
• Mon Sep 19 - Lec04: Grammar of graphics.
• Fri Sep 16 - Lec03: Loading CSV's and dplyr joins.
• Wed Sep 14 - Lec02: More dplyr and basic webscraping.
• Mon Sep 12 - Lec01: Data manipulation with dplyr.
• Mon Sep 12 - Getting Started: We go over the syllabus, discuss what data science is, and set up the software/accounts for the course.