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