Transforming response variables Data transformations are often taught in introductory quantitative and statistics courses as methods for dealing with non-Gaussian (i.e., not normal) data, whethe...

GitHub is a platform that allows you to store, share, and archive files. It is commonly used for in research to make files accessible, including code, data, models, and figures. Sharing code and da...

Creating Sample Datasets This guide provides instructions on how to create sample datasets in R and Python. You can use these methods to generate a mini version of your original dataset for data c...

In previous categories we have looked at cleaning, summarizing, and subsetting data, with some minor calculations, but we haven’t yet looked at analyzing our data. R is a very powerful tool for da...

Occasionally we need to derive variables form existing information. A good example of this is conversion between scales. If we wanted to change a measurement from metres to kilometres or weight in ...

Python and R are both very useful tools in academia, research, industry, and everywhere! They have a lot of similarities, but there are also many differences. The purpose of this post is to help s...

As we know, Jupyter Notebook can be used easily with our UBC login information via Syzygy. Jupyter Notebook can also be downloaded to a computer and used via Anaconda. There are many different inte...

Sometimes the data frame we are working with can be very large and take a while to process. Alternatively, we could only need a portion of the information. There is a way to filter through a data f...

In previous categories we have looked at cleaning, summarizing, and subsetting data, with some minor calculations, but we haven’t yet looked at analyzing our data. Python is a very powerful tool f...

Occasionally we need to derive variables form existing information. A good example of this is conversion between scales. If we wanted to change a measurement from metres to kilometres or weight in ...