Exploring the data

We will provide a large data set containing hundreds of patients along with properties of their tumors. You will use this data to generate models using least squares and subsequently use the obtained models to predict whether patients in another set have malignant or benign tumors. We will use the Python Data Analysis Library $($Pandas$)$ to import the data and produce visualizations.

But first, let's familiarize ourselves with the dataset we will be using for the rest of this MP$.$ The dataset is provided in a file named breast$-$cancer$-$train.dat, provided by the setup code. We also provide the file if you want to download and play with the data outside of PrairieLearn. However, as usual, you can complete your entire assignment here.