Principal Component Analysis in R Principal Component Analysis is an unsupervised method that reduces the number of dimensions in a dataset and highlights where the data varies. We will use PCA to analyze the 311 dataset from the WPRDC.
Goals Learn how R works Gain basic skills for exploratory analysis with R Learn something about local data and potholes! If we are successful, you should be able to hit the ground running on your own project with R
Pittsburgh Mayor Bill Peduto uses Twitter to communicate with his constituents, express his political opinions, and comment about Pittsburgh sports. I will use various R packages (mainly the Tidyverse, Tidytext, and rtweet) to analyze how the Mayor uses Twitter.