Asking Questions

View details on this wine quality dataset on the bottom of this page to complete the quizzes below.

Which of the following questions would be relevant to this dataset?

What chemical characteristics are most important in predicting the quality of wine?

Is a certain type of wine (red or white) associated with higher quality?

Do wines with higher alcoholic content receive better ratings?

Do sweeter wines (more residual sugar) receive better ratings?

What level of acidity is associated with the highest quality?

Would stocking more white wines lead to higher profits?

SOLUTION:

What chemical characteristics are most important in predicting the quality of wine?
Is a certain type of wine (red or white) associated with higher quality?
Do wines with higher alcoholic content receive better ratings?
Do sweeter wines (more residual sugar) receive better ratings?
What level of acidity is associated with the highest quality?

QUESTION:

How would you go about answering one of these questions? Which parts of this dataset might you use?

ANSWER:

Are there ways you could modify or represent the data differently to help you answer this question?

Wine Quality Data Set from UCI Machine Learning Lab

There are two datasets that provide information on samples of red and white variants of the Portuguese "Vinho Verde" wine. Each sample of wine was rated for quality by wine experts and examined with physicochemical tests. Due to privacy and logistic issues, only data on these physicochemical properties and quality ratings are available (e.g. there is no data about grape types, wine brand, wine selling price, etc.). (Source)

Attributes in Each Dataset:

#	Physicochemical Properties
1	Fixed Acidity
2	Volatile Acidity
3	Citric Acid
4	Residual Sugar
5	Chlorides
6	Free Sulfur Dioxide
7	Total Sulfur Dioxide
8	Density
9	pH
10	Sulphates
11	Alcohol

#	Quality Rating
12	Quality - Score between 0 and 10 (median of at least 3 evaluations made by wine experts)