Time Plots

Sometimes we collect data on a single variable because we anticipate that the units we are studying will change over time and we want to observe that change. There's a special graph for this case. It's called a "time plot." As the name suggests, we put time on our plot (on the horizontal axis), as well as the variable of interest (on the vertical axis). This provides us a quick way to determine how much the variable changes across time, or even if it changes.

In this video I further explain the basic features of time plots, then I demonstrate how to create a time plot using R.

These are the winning times for the Boston Marathon in an Excel file: https://docs.google.com/spreadsheets/d/1MhUB_tpIQ4zfJSi9qShR2q3pIDOYge1i/edit?usp=sharing&ouid=111221303968827055526&rtpof=true&sd=true

This is a brief summary of the Boston Marathon along with a list of variables in the Boston Marathon winning times data: https://drive.google.com/file/d/1txAAmCNJYOhzwRAu2DVjGxsvqZkE7-cS/view?usp=sharing

These is a CSV file that contains the Boston Marathon data, the format I use for reading the data into R in this video: https://drive.google.com/file/d/11QYDDy-D9QdpOPSBRl_It16UAiKlORWN/view?usp=sharing

This is the R script that I use in this video to construct a time plot for the winning times in the Boston Marathon: https://drive.google.com/file/d/1cPQE7kSBAuSNMVttndf9t4Zxq1m7lj9T/view?usp=sharing

Видео Time Plots канала Fourth Z