Machine Learning With Go

Manipulating CSV data with data frames

As you can see, manually parsing many different fields and performing row-by-row operations can be rather verbose and tedious. This is definitely not an excuse to increase complexity and import a bunch of non standard functionalities. You should still default to the use of encoding/csv in most cases.

However, manipulation of data frames has proven to be a successful and somewhat standardized way (in the data science community) of dealing with tabular data. Thus, in some cases, it is worth employing some third-party functionality to manipulate tabular data, such as CSV data. For example, data frames and the corresponding functionality can be very useful when you are trying to filter, subset, and select ...