A large part of doing data science work is focused on cleanup. In productionized systems, this data would typically be fetched directly from the database, already relatively clean (high -quality production data science work requires a database of clean data). However, we're not in production mode yet. We're still in the model-building phase. It would be helpful to imagine writing a program solely for cleaning data.
Let's look at our requirements: starting with our data, each column is a variable—most of them are independent variables, except for the last column, which is the dependent variable. Some variables are categorical, and some are continuous. Our task is to write a function that will convert the data, currently [][]string ...
