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A Computational Method to Quantify Fly Circadian Activity

A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

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

Kamila Kolpashnikova¹, Sarah Flood², Oriel Sullivan³

¹Department of Sociology, Social Science Division, University of Oxford, Oxford, United Kingdom.

|June 16, 2021

Summary

This summary is machine-generated.

This study introduces a new visualization tool to make American Time Use Survey Data Extractor (ATUS-X) time-use data more accessible. The tool allows users to easily explore and visualize their own data samples, broadening access for various audiences.

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Area of Science:

Social Sciences
Data Visualization
Human Behavior

Background:

Time-use data is often inaccessible to non-specialists due to its complex format.
There is a need to broaden the user base and accessibility of time-use data.

Purpose of the Study:

To introduce the ATUS-X diary visualization tool.
To address the inaccessibility of time-use data for a wider audience.
To enable users to visualize their own subsamples of ATUS-X data.

Main Methods:

Development of an online, point-and-click interface.
Integration with the American Time Use Survey Data Extractor (ATUS-X).
Focus on user-friendly data exploration and visualization.

Main Results:

The ATUS-X diary visualization tool provides an accessible method for exploring time-use data.
The tool simplifies data exploration through a visual, interactive format.
User engagement with ATUS-X data is expected to increase.

Conclusions:

The ATUS-X diary visualization tool effectively removes accessibility barriers to time-use diaries.
The tool can benefit academics, policymakers, researchers, and journalists.
Increased accessibility promotes broader understanding and utilization of time-use data.