Computing for the Social Sciences
Computing for the Social Sciences
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Lectures
Ordered from bottom to top. Access the
Fall 2024 Course Schedule
.
Lecture 17
Tips and Tools for a Reproducible Workflow.
Dec 2, 2024
Lecture 16
Getting Data from the Web: API
.
Nov 20, 2024
Slides
Lecture 15
Getting Data from the Web: Scraping (cont.) & Intro to API.
Nov 18, 2024
Slides
Lecture 14
Getting Data from the Web: Scraping.
Nov 13, 2024
Slides
Lecture 13
Working with Strings & Regular Expressions.
Nov 11, 2024
Slides
Lecture 12
More on Functions. Debugging.
Nov 6, 2024
Slides
Lecture 11
Functions.
Nov 4, 2024
Slides
Lecture 10
Control Structures: Loops.
Oct 30, 2024
Slides
Lecture 9
Control Structures: Conditional Statements.
Oct 28, 2024
Slides
Lecture 8
Data Structures & Base R.
Oct 23, 2024
Slides
Lecture 7
Tidying data with tidyr.
Oct 21, 2024
Slides
Lecture 6
Importing/exporting data. Relational data with dplyr.
Oct 16, 2024
Slides
Lecture 5
Factors in R. More dplyr. Data cleaning (recoding/renaming variables; missing data).
Oct 14, 2024
Slides
Lecture 4
Exploratory vs. Confirmatory Data Analysis. Using Graphs for Data Analysis.
Oct 9, 2024
Slides
Lecture 3
Introduction to dplyr. Operators. Pipes.
Oct 7, 2024
Slides
Lecture 2
Grammar of Graphics and ggplot2. Coding style in R.
Oct 2, 2024
Slides
Lecture 1
Course Logistics. Markdown. Git/GitHub in RStudio.
Sep 30, 2024
Slides
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