{"id":"https://openalex.org/W3214736281","doi":"https://doi.org/10.1109/vis49827.2021.9623319","title":"Automatic Y-axis Rescaling in Dynamic Visualizations","display_name":"Automatic Y-axis Rescaling in Dynamic Visualizations","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3214736281","doi":"https://doi.org/10.1109/vis49827.2021.9623319","mag":"3214736281"},"language":"en","primary_location":{"id":"doi:10.1109/vis49827.2021.9623319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054422803","display_name":"Jacob T. Fisher","orcid":"https://orcid.org/0000-0002-2968-2557"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Fisher","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089451178","display_name":"Remco Chang","orcid":"https://orcid.org/0000-0002-6484-6430"},"institutions":[{"id":"https://openalex.org/I121934306","display_name":"Tufts University","ror":"https://ror.org/05wvpxv85","country_code":"US","type":"education","lineage":["https://openalex.org/I121934306"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Remco Chang","raw_affiliation_strings":["Tufts University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tufts University","institution_ids":["https://openalex.org/I121934306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049016095","display_name":"Eugene Wu","orcid":"https://orcid.org/0000-0003-4254-6688"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Wu","raw_affiliation_strings":["Columbia University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"116","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":1.0,"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":1.0,"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/T13398","display_name":"Data Analysis with R","score":0.9821000099182129,"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"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.8189074993133545},{"id":"https://openalex.org/keywords/bar-chart","display_name":"Bar chart","score":0.7541036605834961},{"id":"https://openalex.org/keywords/readability","display_name":"Readability","score":0.7436521053314209},{"id":"https://openalex.org/keywords/pie-chart","display_name":"Pie chart","score":0.7424116730690002},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.685878574848175},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6008445024490356},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6004437208175659},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5923030376434326},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5866014957427979},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41051095724105835},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3457804322242737},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3376954197883606},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10148805379867554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08974629640579224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07958856225013733}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8189074993133545},{"id":"https://openalex.org/C61122496","wikidata":"https://www.wikidata.org/wiki/Q1124595","display_name":"Bar chart","level":2,"score":0.7541036605834961},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.7436521053314209},{"id":"https://openalex.org/C205208641","wikidata":"https://www.wikidata.org/wiki/Q273404","display_name":"Pie chart","level":2,"score":0.7424116730690002},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.685878574848175},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6008445024490356},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6004437208175659},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5923030376434326},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5866014957427979},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41051095724105835},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3457804322242737},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3376954197883606},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10148805379867554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08974629640579224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07958856225013733},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vis49827.2021.9623319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vis49827.2021.9623319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE Visualization Conference (VIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2095964499","https://openalex.org/W2116980792","https://openalex.org/W2132881639","https://openalex.org/W2152922709","https://openalex.org/W2516678343","https://openalex.org/W2753171348","https://openalex.org/W2781353212","https://openalex.org/W2888611489","https://openalex.org/W2963770879","https://openalex.org/W4243831978","https://openalex.org/W4253614255","https://openalex.org/W6692685519","https://openalex.org/W6747499935"],"related_works":["https://openalex.org/W4285124774","https://openalex.org/W4235878421","https://openalex.org/W2101830037","https://openalex.org/W2054901814","https://openalex.org/W3204328103","https://openalex.org/W4379390844","https://openalex.org/W4312389517","https://openalex.org/W2716405013","https://openalex.org/W4206659841","https://openalex.org/W2122413191"],"abstract_inverted_index":{"Animated":[0],"and":[1,76,88,118,129,150,167,169],"interactive":[2],"data":[3,8,18,32,100,108],"visualizations":[4],"dynamically":[5],"change":[6],"the":[7,17,20,28,31,39,42,49,64,99,126,144,151,160],"rendered":[9],"in":[10,82,107],"a":[11,70,91,136],"visualization":[12,86],"(e.g.,":[13],"bar":[14],"chart).":[15],"As":[16],"changes,":[19],"y-axis":[21,66],"may":[22,46],"need":[23],"to":[24,53,61,122,142],"be":[25,80],"rescaled":[26],"as":[27,106],"domain":[29],"of":[30,41,72,138,146],"changes.":[33,101],"Each":[34],"axis":[35,148],"rescaling":[36,78,149,162],"potentially":[37],"improves":[38],"readability":[40],"current":[43],"chart,":[44],"but":[45],"also":[47],"disorient":[48],"user.":[50],"In":[51],"contrast":[52],"static":[54],"visualizations,":[55,104],"where":[56],"there":[57,68],"is":[58,69,164],"considerable":[59],"literature":[60],"help":[62],"choose":[63,120],"appropriate":[65,161],"scale,":[67],"lack":[71],"guidance":[73],"about":[74],"how":[75],"when":[77,121],"should":[79],"used":[81],"dynamic":[83,147],"visualizations.":[84],"Existing":[85],"systems":[87],"libraries":[89],"adapt":[90],"fixed":[92],"global":[93],"y-axis,":[94],"or":[95],"rescale":[96,123],"every":[97],"time":[98],"Yet,":[102],"professional":[103],"such":[105],"journalism,":[109],"do":[110,171],"not":[111,172],"adopt":[112],"either":[113],"strategy.":[114],"They":[115],"instead":[116],"carefully":[117],"manually":[119],"based":[124],"on":[125],"analysis":[127],"task":[128],"data.":[130],"To":[131],"this":[132],"end,":[133],"we":[134,170],"conduct":[135],"series":[137],"Mechanical":[139],"Turk":[140],"experiments":[141],"study":[143],"potential":[145],"factors":[152],"that":[153,159],"affect":[154],"its":[155],"effectiveness.":[156],"We":[157],"find":[158,173],"policy":[163,176],"both":[165],"task-":[166],"data-dependent,":[168],"one":[174],"clear":[175],"choice":[177],"for":[178],"all":[179],"situations.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
