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<p><strong>Paper:</strong></p> <p><a href="https://doi.org/10.1371/journal.pone.0194290" rel="nofollow">https://doi.org/10.1371/journal.pone.0194290</a></p> <p><strong>Data:</strong></p> <p>The data consists of three files:</p> <ul> <li><em>outcomes</em>: dense table with county drinking and socio-demographic variables</li> <li><em>topics</em>: topic frequencies for each county in sparse format</li> <li><em>1grams</em>: word frequencies for each county in sparse format</li> </ul> <p><strong>Data Files:</strong></p> <p>Data is available in both CSV and MySQL formats:</p> <ul> <li>CSV</li> <li>outcomes.csv</li> <li>feat.cat_met_a30_2000_cp_w.msgs_2011to13.cnty.16to16.csv.zip</li> <li>feat.1gram.msgs_2011to13.cnty.16to16.0_1.csv.zip</li> <li>MySQL</li> <li>county_drinking_plosone2018.sql.zip</li> </ul> <p><strong>Analysis:</strong></p> <p>All analysis was run using the <a href="http://dlatk.wwbp.org" rel="nofollow">DLATK Python package</a>. This package uses MySQL so data is made available in a single, convenient SQL dump. </p>
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