Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool

Kamila Kolpashnikova, Sarah Flood, Oriel Sullivan, Liana Sayer, Ekaterina Hertog, Muzhi Zhou, Man Yee Kan, Jooyeoun Suh, Jonathan Gershuny

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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 pointand- 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.

Original languageEnglish
Article numbere0252843
JournalPLoS ONE
Volume16
Issue number6 June 2021
DOIs
StatePublished - 1 Jun 2021
Externally publishedYes

ASJC Scopus subject areas

  • General

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