Select a preloaded data set from the below list, upload a data file, or enter the values of a variable.

Upload Options

Note: The file size limit is 5MB. Larger files will take longer to upload. Accepted formats include: .txt, .csv, and .tsv files.

Summary Statistics

App overview

In the app you can render lineups to investigate associations across groups. To use the app:

  • Choose a data set or upload your own.
  • Specify the response and explanatory variables.
  • Generate a lineup of stacked boxplots, density plots, or violin plots.
  • Inspect the lineups and reveal the data plot.
After inspecting the lineup, you can focus on the observed data in the data plot tab.

Learning goals

This app is intended to introduce students to the logic behind hypothesis tests for a difference in means/medians. After exploring the app, students should understand that identifying the data plot indicates that either the data are systematically different from what would be expected if no association exists, or that they were 'lucky' in their guess. Further, students should understand that variability exists when there is no difference, which is why we need to rely on inferential procedures to help us understand whether we observed signal or noise.

Example class usage

I recommend building a guided activity for your students.

  1. Introduce the data set and problem.
  2. Ask students to state their hypotheses in words (or notation).
  3. Ask students how they would display the sample data to review EDA.
  4. Have students generate a lineup. Quickly explain that one panel displays the observed data while the other panels are decoy plots generated under the assumption that no difference exists between the distributions. Have students choose the plot that is most different and justify their answer before revealing the answer.
  5. Ask students to discuss their decision in light of the 'answer' and whether that supports one of the competing claims.

Additional resources

Below are additional resources to help you learn about visual inference and how it can be used in the classroom:


Adam Loy -

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