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 pd

df_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=";")

2. We have two dataframes created. Let's check the name of the available columns:

df_red.columns

Furthermore, the output of the preceding code is given here:

Index(['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar',
       'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density',
       'pH', 'sulphates', 'alcohol', 'quality'],
      dtype='object')

As shown in this output, the dataset contains the following columns:

• Fixed acidity: It indicates the amount of tartaric acid in wine and is measured in g/dm³.
• Volatile acidity: It indicates the amount of acetic acid in the wine. It is measured in g/dm³.
• Citric acid: It indicates the amount of citric acid in the wine. It is also measured in g/dm³.
• Residual sugar: It indicates the amount of sugar left in the wine after the fermentation process is done. It is also measured in g/dm³.
• Free sulfur dioxide: It measures the amount of sulfur dioxide (SO₂) in free form. It is also measured in g/dm³.  
• Total sulfur dioxide: It measures the total amount of SO₂ in the wine. This chemical works as an antioxidant and antimicrobial agent. 
• Density: It indicates the density of the wine and is measured in g/dm³.
• pH: It indicates the pH value of the wine. The range of value is between 0 to 14.0, which indicates very high acidity, and 14 indicates basic acidity. 
• Sulphates: It indicates the amount of potassium sulphate in the wine. It is also measured in g/dm³.
• Alcohol: It indicates the alcohol content in the wine. 
• Quality: It indicates the quality of the wine, which is ranged from 1 to 10. Here, the higher the value is, the better the wine. 

Having discussed different columns in the dataset, let's now see some basic statistics of the data in the next section.