{"id":"https://openalex.org/W7127917291","doi":"https://doi.org/10.48550/arxiv.2602.05335","title":"Boxplots and quartile plots for grouped and periodic angular data","display_name":"Boxplots and quartile plots for grouped and periodic angular data","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7127917291","doi":"https://doi.org/10.48550/arxiv.2602.05335"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.05335","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099516071","display_name":"Joshua D. Berlinski","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Berlinski, Joshua D.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102740663","display_name":"Fan Dai","orcid":"https://orcid.org/0000-0002-7991-597X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Fan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007920808","display_name":"Ranjan Maitra","orcid":"https://orcid.org/0000-0002-3515-8532"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maitra, Ranjan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5099516071"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.14010000228881836,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.14010000228881836,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.04910000041127205,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.04149999842047691,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/quartile","display_name":"Quartile","score":0.7689999938011169},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5174000263214111},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4404999911785126},{"id":"https://openalex.org/keywords/angular-velocity","display_name":"Angular velocity","score":0.41929998993873596},{"id":"https://openalex.org/keywords/angular-displacement","display_name":"Angular displacement","score":0.4068000018596649},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/concentric","display_name":"Concentric","score":0.3993000090122223},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C68443243","wikidata":"https://www.wikidata.org/wiki/Q2786686","display_name":"Quartile","level":3,"score":0.7689999938011169},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5896999835968018},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5174000263214111},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4961000084877014},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4404999911785126},{"id":"https://openalex.org/C5594486","wikidata":"https://www.wikidata.org/wiki/Q161635","display_name":"Angular velocity","level":2,"score":0.41929998993873596},{"id":"https://openalex.org/C108439606","wikidata":"https://www.wikidata.org/wiki/Q3305038","display_name":"Angular displacement","level":2,"score":0.4068000018596649},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C90296322","wikidata":"https://www.wikidata.org/wiki/Q619776","display_name":"Concentric","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3327000141143799},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.26269999146461487},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.05335","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.05335","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.05335","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.05335","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.8418142199516296,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Angular":[0],"observations,":[1],"or":[2],"observations":[3],"lying":[4],"on":[5,103],"the":[6,53,60,67,119,138,147],"unit":[7],"circle,":[8],"arise":[9],"in":[10,17,105],"many":[11],"disciplines":[12],"and":[13,22,128,131,140],"require":[14],"special":[15],"care":[16],"their":[18,64],"description,":[19],"analysis,":[20],"interpretation":[21],"visualization.":[23],"We":[24,99],"provide":[25],"methods":[26,102],"to":[27,55,59,108,117,136],"construct":[28],"concentric":[29,43],"circular":[30,85],"boxplot":[31],"displays":[32],"of":[33,35,37,42,47,63,81,121,143,149],"distributions":[34],"groups":[36],"angular":[38,97],"data.":[39],"The":[40],"use":[41],"boxplots":[44],"brings":[45],"challenges":[46],"visual":[48],"perception,":[49],"so":[50],"we":[51,83],"set":[52],"boxwidths":[54],"be":[56],"inversely":[57],"proportional":[58],"square":[61],"root":[62],"distance":[65],"from":[66],"centre.":[68],"A":[69,88],"perception":[70],"survey":[71],"supports":[72],"this":[73],"scaled":[74],"boxwidth":[75],"choice.":[76],"For":[77],"a":[78,150],"large":[79],"number":[80],"groups,":[82],"propose":[84],"quartile":[86],"plots.":[87],"three-dimensional":[89],"toroidal":[90],"display":[91,109],"is":[92],"also":[93],"implemented":[94],"for":[95,124],"periodic":[96,141],"distributions.":[98],"illustrate":[100],"our":[101],"datasets":[104],"(1)":[106],"psychology,":[107],"motor":[110],"resonance":[111],"under":[112],"different":[113],"conditions,":[114],"(2)":[115],"genomics,":[116],"understand":[118],"distribution":[120,142],"peak":[122],"phases":[123],"ancillary":[125],"clock":[126],"genes,":[127],"(3)":[129],"meteorology":[130],"wind":[132,144],"turbine":[133],"power":[134],"generation,":[135],"study":[137],"changing":[139],"direction":[145],"over":[146],"course":[148],"year.":[151]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-07T00:00:00"}