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Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool
Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visual...
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Published in: | PloS one 2021-06, Vol.16 (6), p.e0252843-e0252843 |
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description | Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries. |
doi_str_mv | 10.1371/journal.pone.0252843 |
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This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0252843</identifier><identifier>PMID: 34133458</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accessibility ; Analysis ; Autobiographical literature ; Biology and Life Sciences ; Caregivers ; Caregivers - statistics & numerical data ; Computer and Information Sciences ; Data ; Data Visualization ; Diaries ; Diaries as Topic ; Households ; Human acts ; Human behavior ; Humans ; Internet - statistics & numerical data ; Labor force ; Medicine and Health Sciences ; People and Places ; Policy making ; Population ; Social research ; Social Sciences ; Sociology ; Specialists ; Surveys and Questionnaires ; Time management ; Time use ; User-Computer Interface ; Visualization</subject><ispartof>PloS one, 2021-06, Vol.16 (6), p.e0252843-e0252843</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Kolpashnikova et al. 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source | Open Access: PubMed Central; Publicly Available Content Database; Sociological Abstracts |
subjects | Accessibility Analysis Autobiographical literature Biology and Life Sciences Caregivers Caregivers - statistics & numerical data Computer and Information Sciences Data Data Visualization Diaries Diaries as Topic Households Human acts Human behavior Humans Internet - statistics & numerical data Labor force Medicine and Health Sciences People and Places Policy making Population Social research Social Sciences Sociology Specialists Surveys and Questionnaires Time management Time use User-Computer Interface Visualization |
title | Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool |
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