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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS1082</article-id>
<article-id pub-id-type="doi">10.6339/22-JDS1082</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Data Science in Action</subject></subj-group></article-categories>
<title-group>
<article-title>Creating a Census County Assessment Tool for Visualizing Census Data</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Youngs</surname><given-names>Isabel</given-names></name><email xlink:href="mailto:iwy2@georgetown.edu">iwy2@georgetown.edu</email><xref ref-type="aff" rid="j_jds1082_aff_001">1</xref><xref ref-type="corresp" rid="cor1">∗</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Prevost</surname><given-names>Ronald</given-names></name><xref ref-type="aff" rid="j_jds1082_aff_001">1</xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Dick</surname><given-names>Christopher</given-names></name><xref ref-type="aff" rid="j_jds1082_aff_001">1</xref>
</contrib>
<aff id="j_jds1082_aff_001"><label>1</label><institution>Georgetown University</institution>, 3700 O St NW, Washington, DC, <country>United States</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>∗</label>Corresponding Author. Email: <ext-link ext-link-type="uri" xlink:href="mailto:iwy2@georgetown.edu">iwy2@georgetown.edu</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2023</year></pub-date><pub-date pub-type="epub"><day>21</day><month>12</month><year>2022</year></pub-date><volume>21</volume><issue>2</issue><fpage>239</fpage><lpage>254</lpage><history><date date-type="received"><day>28</day><month>7</month><year>2022</year></date><date date-type="accepted"><day>14</day><month>12</month><year>2022</year></date></history>
<permissions><copyright-statement>2023 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2023</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
<abstract>
<p>The 2020 Census County Assessment Tool was developed to assist decennial census data users in identifying deviations between expected census counts and the released counts across population and housing indicators. The tool also offers contextual data for each county on factors which could have contributed to census collection issues, such as self-response rates and COVID-19 infection rates. The tool compiles this information into a downloadable report and includes additional local data sources relevant to the data collection process and experts to seek more assistance.</p>
</abstract>
<kwd-group>
<label>Keywords</label>
<kwd>census</kwd>
<kwd>data visualization</kwd>
<kwd>data quality</kwd>
<kwd>tableau</kwd>
</kwd-group>
<funding-group><award-group><funding-source xlink:href="https://doi.org/10.13039/100000879">Alfred P. Sloan Foundation</funding-source></award-group><funding-statement>This project was developed in partnership with the Urban Institute with generous funding support from the Tableau Foundation and the Alfred P. Sloan Foundation. We are grateful to them and to all our funders, who make it possible for us to advance our missions. The views expressed are those of the authors. Funders do not determine research findings or the insights and recommendations of our team. </funding-statement></funding-group>
</article-meta>
</front>
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