Introduction
We begin with the third post of our data science training saga with Pandas. In this article, we are going to make a summary of the different functions that are used in Pandas to perform Iteration, Maps, Grouping, and Sorting. These functions allow us to make transformations of the data giving us useful information and insights.
Iteration, Maps, Grouping, and Sorting
The 2009 data set ‘Wine Quality Dataset’ elaborated by Cortez et al. available at UCI Machine Learning, is a well-known dataset that contains wine quality information. It includes data about red and white wine physicochemical properties and a quality score.