Use the popular Pandas library for data manipulation and analysis to read data from two files and join them into a single dataset.

You don't need to be a data scientist to use Pandas for some basic analysis. Traditionally, people who program in Python use the data types that come with the language, such as integers, strings, ...

Python's data operations, with libraries like NumPy, pandas, Seaborn, and Pingouin, are much more efficient when working with large amounts of data.

Python’s Pandas library allows for advanced data manipulation, statistical analysis, and exploration directly within Excel, streamlining workflows.