You will learn to implement your entire research workflow from data input to results in RStudio. This includes learning to use R to:
- Import data from multiple sources (e.g., txt-files, Excel, Stata, or SPSS).
- Find and access socio-economic data online through APIs and web scraping (e.g. Eurostat, OECD, or Danmarks Statistik).
- Clean, prepare, and visualize data using tidyverse packages.
- Perform statistical analyses typically used in socio-economic research (multiple linear and logistic regression, principal components/factor analysis).
- Visualize and present the results of these statistical analyses.
- Integrate this entire workflow into a final report or presentation in a single dynamic document by using R Markdown
In addition to the above-mentioned R packages, we will also introduce you to the RStudio environment and a number of R packages that are particularly useful for socio-economic research, such as estimatr (for robust statistical inference), ggplot2 (for visualization), psych (for factor analysis), and other API packages.