Data
beer_reviews

beer_reviews

active ARFF Publicly available Visibility: public Uploaded 14-08-2019 by Guillaume Lemaitre
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This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of five "aspects": appearance, aroma, palate, taste, and overall impression. Reviews include product and user information, followed by each of these five ratings, and a plaintext review. We also have reviews from ratebeer.

13 features

beer_style (target)string104 unique values
0 missing
brewery_idnumeric5840 unique values
0 missing
brewery_namestring5742 unique values
15 missing
review_timenumeric1577960 unique values
0 missing
review_overallnumeric10 unique values
0 missing
review_aromanumeric9 unique values
0 missing
review_appearancenumeric10 unique values
0 missing
review_profilenamestring33387 unique values
348 missing
review_palatenumeric9 unique values
0 missing
review_tastenumeric9 unique values
0 missing
beer_namestring56857 unique values
0 missing
beer_abvnumeric530 unique values
67785 missing
beer_beeridnumeric66055 unique values
0 missing

62 properties

1586614
Number of instances (rows) of the dataset.
13
Number of attributes (columns) of the dataset.
104
Number of distinct values of the target attribute (if it is nominal).
68148
Number of missing values in the dataset.
68136
Number of instances with at least one value missing.
9
Number of numeric attributes.
0
Number of nominal attributes.
-0.94
First quartile of skewness among attributes of the numeric type.
136012683.21
Mean of means among attributes of the numeric type.
0.69
First quartile of standard deviation of attributes of the numeric type.
1
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
Second quartile (Median) of entropy among attributes.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
1.34
Second quartile (Median) of kurtosis among attributes of the numeric type.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
3.84
Second quartile (Median) of means among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0.11
Mean skewness among attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
7.41
Percentage of instances belonging to the most frequent class.
8507964.08
Mean standard deviation of attributes of the numeric type.
-0.84
Second quartile (Median) of skewness among attributes of the numeric type.
117586
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
0
Percentage of binary attributes.
0.73
Second quartile (Median) of standard deviation of attributes of the numeric type.
Maximum entropy among attributes.
-0.83
Minimum kurtosis among attributes of the numeric type.
4.29
Percentage of instances having missing values.
Third quartile of entropy among attributes.
6.96
Maximum kurtosis among attributes of the numeric type.
3.74
Minimum of means among attributes of the numeric type.
0.33
Percentage of missing values.
2.57
Third quartile of kurtosis among attributes of the numeric type.
1224089280.01
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
69.23
Percentage of numeric attributes.
12421.45
Third quartile of means among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.
The maximum number of distinct values among attributes of the nominal type.
-1.02
Minimum skewness among attributes of the numeric type.
First quartile of entropy among attributes.
1.12
Third quartile of skewness among attributes of the numeric type.
2.08
Maximum skewness among attributes of the numeric type.
0.62
Minimum standard deviation of attributes of the numeric type.
0.42
First quartile of kurtosis among attributes of the numeric type.
13698.22
Third quartile of standard deviation of attributes of the numeric type.
76544274.54
Maximum standard deviation of attributes of the numeric type.
0.02
Percentage of instances belonging to the least frequent class.
241
Number of instances belonging to the least frequent class.
3.77
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
Average entropy of the attributes.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
1.82
Mean kurtosis among attributes of the numeric type.

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