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Automating Exploratory Data Analysis Tasks with -eda-

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  • Billy Buchanan

    (Fayette County Public Schools)

Abstract

Several tools currently exist in the Stata ecosystem for document preparation, authoring, and creation each with their own unique strengths. Similarly, there are many tools available to map data to visual dimensions for exploratory and expositive purposes. While these tools are powerful on their own, they do not attempt to solve the most significant resource constraint we all face. The eda program is designed to address this time constraint by automating the creation of all the univariate and bivariate data visualizations and summary statistics tables in a data set. Users can specify categorical and continuous variables manually, provide their own rules based on the number of unique values, or allow eda to use its own defaults and eda will apply the necessary logic to graph and describe the data available. The command is designed to produce the maximum amount of output by default, so a single line of code can easily produce a document providing substantial insight into your data.

Suggested Citation

  • Billy Buchanan, 2018. "Automating Exploratory Data Analysis Tasks with -eda-," 2018 Stata Conference 7, Stata Users Group.
    • Handle: RePEc:boc:scon18:7
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    File URL: https://wbuchanan.github.io/stataConference2018/#/
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