• Facets (new session)
• Description
• Metadata
• Settings
  • Rule: ActivityStreamsMapasEquivalentb3sb3sifpccisofacetshttp://demo.openlinksw.com/dataspacehttp://www.w3.org/2002/07/owl#ldpoplwebrel-me-authskos-transsql-vdb-data-lakeurn:ALKAdatareducedurn:analytics:acqof:ruleurn:clothing:rule:qaurn:det:rdf:labelurn:inference:oplfaq:ruleurn:inference:product:feature:inverse:ruleurn:ingleng:inf:demo:inf:ruleurn:kbpedia:actor:subclass:test:rulesurn:kbpedia:comedian:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:mime-artist:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:philosopher:owl:equivalent:class:subproperty:inference:rulesurn:kbpedia:stage-actor:owl:equivalent:class:subproperty:inference:rulesurn:kgdemo:1:ifp:ruleurn:kgdemo:1:ifp:rule2urn:lava:demo:ruleurn:owl:equivalent:class:inference:rulesurn:rdfs:subclass:subproperty:inference:rulesurn:rdfs:type:wikidata:ruleurn:recon:data:ifpurn:recon:data:ifp:ruleurn:recruitment:rule:built-in:ruleurn:rsm12e:translation:ruleurn:rxnorm:data:ruleurn:se:demo:inference:ruleurn:test:skos:inverse:ruleurn:wireless:plans:features:builtin:inference:rule:1virtrdf-eturtle-containersvirtrdf-hashtagvirtrdf-ifpvirtrdf-labelvirtrdf-meta-entity-classvirtrdf-urlNone
    
  • Inverse Functional Properties: Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects
  • "Same As": Disabled (fastest) Apply to subjects only Apply to objects only Apply to both subjects and objects (recommended) Apply to subjects, objects and predicates (not recommended on big datasets) Apply to predicates only (special use cases only)

## Context It's a great time to be a craft beer fan in the U.S.! There are a ton of beer styles and brands to choose from and breweries have become very successful in the last several years. Breweries owe it all to beer lovers around the world! This dataset contains a list of 2,410 US craft beers and 510 US breweries. The beers and breweries are linked together by the "id". This data was collected in January 2017 from CraftCans.com. The dataset is an a tidy format and values have been cleaned up for your enjoyment. ## Content **beers.csv** - Contains data on 2000+ craft canned beers **breweries.csv** - Contains data for 500+ breweries in the United States ## Acknowledgements If you are interested in learning more about how this dataset was acquired, I wrote an extensive blogpost about it http://www.jeannicholashould.com/python-web-scraping-tutorial-for-craft-beers.html. ## Inspiration Can you predict the beer type from the characteristics provided in the dataset? What is the most popular beer in North Dakota? Enjoy!