Full Citation

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

Citation Type: Journal Article

Publication Year: 2021

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ISSN:

DOI: 10.1371/journal.pone.0252843

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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 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.

Url: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0252843

User Submitted?: No

Authors: Kolpashnikova, Kamila; Flood, Sarah; Sullivan, Oriel; Hertog, Ekaterina; Zhou, Muzhi; Kan, Man-Yee; Suh, Jooyeoum; Gershuny, Jonathan

Periodical (Full): PLOS ONE

Issue: 6

Volume: 16

Pages: 1-12

Data Collections: IPUMS Time Use - ATUS

Topics: Population Data Science

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