Data
USBreweries

USBreweries

active ARFF GPL2 Visibility: public Uploaded 23-03-2022 by Onur Yildirim
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  • Machine Learning Transportation
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ContextWhilebrainstormingideasforastatisticsprojectforacourselastsemestertheideaofutilizingdataaboutmicrobreweriescameupUnfortunatelyaftersomeexplorationandthoughtwescrappedtheideabutIvegotthisdatatoshowforitanywayContentDatawasacquiredfromhttpswwwbeermonthclubcomandcontainsinformationaboutbreweriesavailableonthesiteasofOctober1st2019NametypeofbreweryaddresswebsiteandstateareamongthedataincludedCodeusedtoscrapeisavailableathttpsgithubcombrkurzawabrewpubscraperAcknowledgementsThankstobeermonthclubforallowingthebrewpubsectiontobescrapedInspirationThisdataaloneisnttooinspiringbutmaybeitcouldbeusedasthebasisforananalysisprojectthatlooksatinformationsuchasyelpreviewsornumberoflinkstoabreweryswebsite

6 features

brewery_namestring2308 unique values
0 missing
typestring12 unique values
0 missing
addressstring2331 unique values
0 missing
websitestring1369 unique values
8 missing
statestring51 unique values
0 missing
state_breweriesnumeric39 unique values
0 missing

19 properties

2407
Number of instances (rows) of the dataset.
6
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
8
Number of missing values in the dataset.
8
Number of instances with at least one value missing.
1
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
16.67
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0.33
Percentage of instances having missing values.
Average class difference between consecutive instances.
0.06
Percentage of missing values.

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