{"id":"https://openalex.org/W3139717453","doi":"https://doi.org/10.1109/ictd.2009.5426689","title":"Analyzing statistical relationships between global indicators through visualization","display_name":"Analyzing statistical relationships between global indicators through visualization","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W3139717453","doi":"https://doi.org/10.1109/ictd.2009.5426689","mag":"3139717453"},"language":"en","primary_location":{"id":"doi:10.1109/ictd.2009.5426689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictd.2009.5426689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Information and Communication Technologies and Development (ICTD)","raw_type":"proceedings-article"},"type":"article","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/A5096854449","display_name":"Prabath Gunawar","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prabath Gunawar","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Cruz, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060146695","display_name":"Erin A. Middleton","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erin Middleton","raw_affiliation_strings":["Department of Sociology, University of California, Santa Cruz, USA"],"affiliations":[{"raw_affiliation_string":"Department of Sociology, University of California, Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109877953","display_name":"Suresh K. Lodha","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suresh Lodha","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Cruz, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110532548","display_name":"Ben Crow","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Crow","raw_affiliation_strings":["Department of Sociology, University of California, Santa Cruz"],"affiliations":[{"raw_affiliation_string":"Department of Sociology, University of California, Santa Cruz","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047609626","display_name":"James Davis","orcid":"https://orcid.org/0000-0002-1413-2616"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Davis","raw_affiliation_strings":["Department of Computer Science, University of California, Santa Cruz, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California, Santa Cruz, USA","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5096854449"],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7570168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"101","issue":null,"first_page":"212","last_page":"221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9975000023841858,"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":0.9975000023841858,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.9706000089645386,"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/visualization","display_name":"Visualization","score":0.7288349866867065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798979043960571},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6140521168708801},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5733228921890259},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5485391020774841},{"id":"https://openalex.org/keywords/economic-indicator","display_name":"Economic indicator","score":0.5322432518005371},{"id":"https://openalex.org/keywords/simple-linear-regression","display_name":"Simple linear regression","score":0.4201948046684265},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4138331413269043},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3739006221294403},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36148935556411743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2158868908882141},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09451064467430115}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7288349866867065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798979043960571},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6140521168708801},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5733228921890259},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5485391020774841},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.5322432518005371},{"id":"https://openalex.org/C149769383","wikidata":"https://www.wikidata.org/wiki/Q7520804","display_name":"Simple linear regression","level":3,"score":0.4201948046684265},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4138331413269043},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3739006221294403},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36148935556411743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2158868908882141},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09451064467430115},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictd.2009.5426689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictd.2009.5426689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 International Conference on Information and Communication Technologies and Development (ICTD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.4099999964237213,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1529534436","https://openalex.org/W1987522255","https://openalex.org/W2025806643","https://openalex.org/W2074618668","https://openalex.org/W2091756462","https://openalex.org/W2097924927","https://openalex.org/W2098996270","https://openalex.org/W2105795805","https://openalex.org/W2105894416","https://openalex.org/W2114237164","https://openalex.org/W2121932969","https://openalex.org/W2131682312","https://openalex.org/W2136614214","https://openalex.org/W2146354725","https://openalex.org/W2158131091","https://openalex.org/W2166279335","https://openalex.org/W4234102899","https://openalex.org/W4236706032","https://openalex.org/W6631680540","https://openalex.org/W6674883664","https://openalex.org/W6680526132"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"There":[0],"is":[1,72,149],"a":[2,31,66,89,201,211,215,223],"wealth":[3],"of":[4,25,30,52,61,77,93,102,133,146,154,188,237,248],"information":[5],"collected":[6],"about":[7],"national":[8],"level":[9,24],"socio-economic":[10,104,162,230],"indicators":[11,18,53,139,173,231],"across":[12],"all":[13],"countries":[14,179,233],"each":[15,142],"year.":[16],"These":[17],"are":[19,35,122,198],"important":[20,246],"in":[21,27,38,65,234],"recognizing":[22],"the":[23,95,103,131,186,189,235,238,242],"development":[26,107],"certain":[28],"aspects":[29],"particular":[32],"country,":[33],"and":[34,49,137,164,169,184,194,206,232,240],"also":[36],"essential":[37],"international":[39],"policy":[40,249],"making.":[41],"However":[42],"with":[43,157],"past":[44],"data":[45,63,78],"spanning":[46],"several":[47],"decades":[48],"many":[50],"hundreds":[51],"evaluated,":[54],"trying":[55],"to":[56,109,125,141,150,159,191,225],"get":[57],"an":[58,152],"intuitive":[59],"sense":[60],"this":[62],"has":[64],"way":[67],"become":[68],"more":[69],"difficult.":[70],"This":[71,220],"because":[73],"simple":[74],"indicator-wise":[75],"visualization":[76,158,218],"such":[79],"as":[80],"line/bar":[81],"graphs":[82],"or":[83,98,203],"scatter":[84],"plots":[85],"does":[86],"not":[87],"do":[88],"very":[90],"good":[91],"job":[92],"analyzing":[94],"underlying":[96],"associations":[97],"behavior.":[99],"Therefore":[100],"most":[101],"analysis":[105,156],"regarding":[106],"tends":[108],"be":[110,126,208],"focused":[111],"on":[112,181,200,210],"few":[113],"main":[114],"economic":[115],"indicators.":[116],"However,":[117],"we":[118],"believe":[119],"that":[120],"there":[121],"valuable":[123],"insights":[124,163],"gained":[127],"from":[128],"understanding":[129],"how":[130],"multitude":[132],"social,":[134],"economic,":[135],"educational":[136],"health":[138],"relate":[140],"other.":[143],"The":[144,196],"focus":[145],"our":[147],"work":[148,221],"provide":[151],"integration":[153],"statistical":[155],"gain":[160],"new":[161],"knowledge.":[165],"We":[166,177],"compute":[167],"correlation":[168,202],"linear":[170],"regression":[171,204],"between":[172,229],"using":[174,214],"time-series":[175],"data.":[176],"cluster":[178],"based":[180],"indicator":[182],"trends":[183],"analyze":[185],"results":[187,197],"clustering":[190],"identify":[192],"similarities":[193],"anomalies.":[195],"shown":[199],"grid":[205],"can":[207],"visualized":[209],"world":[212],"map":[213],"flexible":[216],"interactive":[217],"system.":[219],"provides":[222],"pathway":[224],"exploring":[226],"deeper":[227],"relationships":[228],"hands":[236],"user,":[239],"carries":[241],"potential":[243],"for":[244],"identifying":[245],"underpinnings":[247],"changes.":[250]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
