{"id":"https://openalex.org/W3022250880","doi":"https://doi.org/10.1080/00401706.2020.1744908","title":"Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse","display_name":"Statistical Inference via Data Science: A Modern Dive Into R and the Tidyverse","publication_year":2020,"publication_date":"2020-04-02","ids":{"openalex":"https://openalex.org/W3022250880","doi":"https://doi.org/10.1080/00401706.2020.1744908","mag":"3022250880"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2020.1744908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00401706.2020.1744908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00401706.2020.1744908?needAccess=true","source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/00401706.2020.1744908?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046740664","display_name":"Stan Lipovetsky","orcid":"https://orcid.org/0000-0001-7131-243X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stan Lipovetsky","raw_affiliation_strings":["Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Minneapolis, MN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046740664"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.193,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.83241868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"62","issue":"2","first_page":"1","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.7269999980926514,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.7269999980926514,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.7408877015113831},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7066709995269775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4552329182624817},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4222845435142517},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39101868867874146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.362663209438324},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2838996350765228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2712042033672333}],"concepts":[{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.7408877015113831},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7066709995269775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4552329182624817},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4222845435142517},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39101868867874146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.362663209438324},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2838996350765228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2712042033672333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2020.1744908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00401706.2020.1744908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00401706.2020.1744908?needAccess=true","source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/00401706.2020.1744908","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00401706.2020.1744908","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00401706.2020.1744908?needAccess=true","source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022250880.pdf","grobid_xml":"https://content.openalex.org/works/W3022250880.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4321636575","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W1922851888","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W4286952477","https://openalex.org/W4321348134","https://openalex.org/W2103073163"],"abstract_inverted_index":{"The":[0,5,27],"monograph":[1],"belongs":[2],"to":[3],"the":[4,24],"R":[6,25],"series,":[7],"and":[8,20],"it":[9],"can":[10],"serve":[11],"as":[12],"a":[13],"convenient":[14],"way":[15],"for":[16],"learning":[17],"data":[18],"science":[19],"statistics":[21],"simultaneously":[22],"with":[23],"language.":[26],"textbook":[28],"consists":[29],"of":[30],"four":[31],"parts,":[32],"ele...":[33]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}