Hands-On Exploratory Data Analysis with Python

Loading the dataset

As mentioned in the Technical requirements section, the dataset can be download from the UCI website directly. Now, let's use the pandas pd.read_csv() method to load the dataset into the Python environment. By now, this operation should be relatively easy and intuitive:

1. We start by loading the pandas library and create two different dataframes, namely, df_red for holding the red wine dataset and df_white for holding the white wine dataset:

import pandas as pddf_red = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-red.csv", delimiter=";")df_white = pd.read_csv("https://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv", delimiter=";") ...