You will need one of the following command-line tools curl or wget to retrieve specified data:

1. You can start by downloading the dataset using either of the following three commands. The first one is as follows:

wget http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv

You can also use the following command:

curl http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv -o winequality-white.csv

This command is the third way to do the same:

http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/winequality-white.csv

2. Now we begin our first steps of data exploration by seeing how the data in winequality-white.csv is formatted:

head -5 winequality-white.csv

"fixed acidity";"volatile acidity";"citric acid";"residual sugar";"chlorides";"free sulfur dioxide";"total sulfur dioxide";"density";"pH";"sulphates";"alcohol";"quality"
7;0.27;0.36;20.7;0.045;45;170;1.001;3;0.45;8.8;6
6.3;0.3;0.34;1.6;0.049;14;132;0.994;3.3;0.49;9.5;6
8.1;0.28;0.4;6.9;0.05;30;97;0.9951;3.26;0.44;10.1;6
7.2;0.23;0.32;8.5;0.058;47;186;0.9956;3.19;0.4;9.9;6

3. Now we take a look at the wine quality data to know how it is formatted:

tail -5 winequality-white.csv
6.2;0.21;0.29;1.6;0.039;24;92;0.99114;3.27;0.5;11.2;6
6.6;0.32;0.36;8;0.047;57;168;0.9949;3.15;0.46;9.6;5
6.5;0.24;0.19;1.2;0.041;30;111;0.99254;2.99;0.46;9.4;6
5.5;0.29;0.3;1.1;0.022;20;110;0.98869;3.34;0.38;12.8;7
6;0.21;0.38;0.8;0.02;22;98;0.98941;3.26;0.32;11.8;6