{"id":"https://openalex.org/W7153448590","doi":"https://doi.org/10.1111/cgf.70482","title":"Investigating Performance and Practices with Univariate Distribution Charts","display_name":"Investigating Performance and Practices with Univariate Distribution Charts","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7153448590","doi":"https://doi.org/10.1111/cgf.70482"},"language":"en","primary_location":{"id":"doi:10.1111/cgf.70482","is_oa":true,"landing_page_url":"https://doi.org/10.1111/cgf.70482","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1111/cgf.70482","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071092841","display_name":"Laura Lotteraner","orcid":"https://orcid.org/0000-0002-7787-3083"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]},{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"L. Lotteraner","raw_affiliation_strings":["Department of Environmental Geosciences, CeMESS University of Vienna  Austria","Doctoral School Computer Science, Faculty of Computer Science University of Vienna  Austria","Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria"],"raw_orcid":"https://orcid.org/0000-0002-7787-3083","affiliations":[{"raw_affiliation_string":"Department of Environmental Geosciences, CeMESS University of Vienna  Austria","institution_ids":["https://openalex.org/I129774422"]},{"raw_affiliation_string":"Doctoral School Computer Science, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I129774422"]},{"raw_affiliation_string":"Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133429856","display_name":"Anna Kurtenkova","orcid":null},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Kurtenkova","raw_affiliation_strings":["Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060664606","display_name":"Torsten M\u00f6ller","orcid":"https://orcid.org/0000-0003-1192-0710"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]},{"id":"https://openalex.org/I4210143986","display_name":"Ec3 NetWorks (Austria)","ror":"https://ror.org/03t6r2q91","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210143986"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"T. M\u00f6ller","raw_affiliation_strings":["Research Network Data Science, Faculty of Computer Science University of Vienna  Austria","Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria"],"raw_orcid":"https://orcid.org/0000-0003-1192-0710","affiliations":[{"raw_affiliation_string":"Research Network Data Science, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I4210143986"]},{"raw_affiliation_string":"Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I1343190059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083158159","display_name":"Daniel Pahr","orcid":"https://orcid.org/0000-0001-7313-3056"},"institutions":[{"id":"https://openalex.org/I1343190059","display_name":"VRVis GmbH (Austria)","ror":"https://ror.org/02xyxvc90","country_code":"AT","type":"company","lineage":["https://openalex.org/I1343190059"]},{"id":"https://openalex.org/I4210143986","display_name":"Ec3 NetWorks (Austria)","ror":"https://ror.org/03t6r2q91","country_code":"AT","type":"company","lineage":["https://openalex.org/I4210143986"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"D. Pahr","raw_affiliation_strings":["Research Network Data Science, Faculty of Computer Science University of Vienna  Austria","Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria"],"raw_orcid":"https://orcid.org/0000-0001-7313-3056","affiliations":[{"raw_affiliation_string":"Research Network Data Science, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I4210143986"]},{"raw_affiliation_string":"Visualization &amp; Data Analysis, Faculty of Computer Science University of Vienna  Austria","institution_ids":["https://openalex.org/I1343190059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3710,"currency":"USD","value_usd":3710},"apc_paid":{"value":3710,"currency":"USD","value_usd":3710},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33546489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.00279999990016222,"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/T14056","display_name":"Safety Warnings and Signage","score":0.000699999975040555,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.784500002861023},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6205999851226807},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.6044999957084656},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5568000078201294},{"id":"https://openalex.org/keywords/pie-chart","display_name":"Pie chart","score":0.4334000051021576},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.4327000081539154},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.40689998865127563},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3889000117778778}],"concepts":[{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.784500002861023},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6205999851226807},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.6044999957084656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5838000178337097},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5568000078201294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4478999972343445},{"id":"https://openalex.org/C205208641","wikidata":"https://www.wikidata.org/wiki/Q273404","display_name":"Pie chart","level":2,"score":0.4334000051021576},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.4327000081539154},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4124999940395355},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3483999967575073},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.30379998683929443},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3019999861717224},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27320000529289246},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2581000030040741},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1111/cgf.70482","is_oa":true,"landing_page_url":"https://doi.org/10.1111/cgf.70482","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2604.08378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2604.08378","pdf_url":"https://arxiv.org/pdf/2604.08378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1111/cgf.70482","is_oa":true,"landing_page_url":"https://doi.org/10.1111/cgf.70482","pdf_url":null,"source":{"id":"https://openalex.org/S67831204","display_name":"Computer Graphics Forum","issn_l":"0167-7055","issn":["0167-7055","1467-8659"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computer Graphics Forum","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"A":[1],"range":[2],"of":[3,16,23,52,57,71],"charts":[4,25,41,108,143],"with":[5,19,82,131,136],"different":[6],"strengths":[7],"and":[8,30,32,48,60,67,88,98,114,120,125],"weaknesses":[9],"exists":[10],"to":[11,91],"support":[12,27],"the":[13,39,50,164],"visual":[14],"analysis":[15,104],"univariate":[17,43],"distributions,":[18],"a":[20,53],"limited":[21],"understanding":[22],"which":[24,28],"best":[26],"tasks":[29,97],"users,":[31],"how":[33],"practitioners":[34,139],"use":[35],"charts.":[36],"We":[37],"categorize":[38],"available":[40],"for":[42,167],"distributions":[44],"into":[45],"four":[46],"groups":[47],"present":[49],"results":[51],"mixed\u2010methods":[54],"comparison":[55],"(n=215)":[56],"participants'":[58,85,100,132],"perception":[59],"preferences":[61,115],"across":[62,116],"boxplots,":[63],"violinplots,":[64],"jittered":[65],"stripplots,":[66],"histograms":[68],"as":[69,150,159],"representatives":[70],"their":[72],"respective":[73],"categories.":[74],"The":[75],"click\u2010to\u2010select":[76],"approach":[77],"in":[78,109,155],"our":[79],"study,":[80],"combined":[81],"data":[83],"on":[84,95],"subjective":[86],"experiences":[87],"preferences,":[89],"allows":[90],"both":[92],"measure":[93],"accuracy":[94],"benchmark":[96],"discuss":[99],"choices":[101],"qualitatively.":[102],"Our":[103],"reveals":[105],"differences":[106],"between":[107],"task":[110,133],"accuracy,":[111],"common":[112],"misunderstandings,":[113],"various":[117],"low\u2010level":[118],"tasks,":[119],"indicates":[121],"that":[122,142],"chart":[123],"preference":[124],"familiarity":[126],"do":[127],"not":[128,162],"necessarily":[129],"align":[130],"performance.":[134],"Interviews":[135],"five":[137],"visualization":[138],"further":[140],"reveal":[141],"widely":[144],"preferred":[145],"by":[146],"general":[147],"audiences":[148],"(such":[149,158],"histograms)":[151],"or":[152],"commonly":[153],"used":[154],"scientific":[156],"domains":[157],"boxplots)":[160],"are":[161],"inherently":[163],"most":[165],"effective":[166],"all":[168],"tasks.":[169]},"counts_by_year":[],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2026-04-12T00:00:00"}
