The purpose of this article is to explain how to set up Group Comparison (ANOVA)
The purpose of the Group Comparison (ANOVA) is to compare the performance of groups using a numeric variable.
- Can only run one group and one value column at a time
Steps to Run
- Go to the Tools menu
- Select the Data Science option
- Select the Group Comparison (ANOVA) option
- Enter the data table, the Group column, the Value column and check whether or not to include pairwise comparisons.
Group Comparison Inputs
- Data table - Choose your data table for this analysis.
- Group column - The group column should be a categorical variable, such as Operator
- Value column - The value column should be a continuous variable, such as EUR
- Checkbox to include or exclude pairwise comparisons. If the box is not checked, the 'Pairwise comparisons between each group' output table will not be generated
- If pairwise comparisons are included, there are four outputs
- Pairwise Comparisons between each Group table
- ANOVA and Kruskal-Wallis Test for Groups table
- Group Results table, including normality checks on each group name
- Box plot visualization
How to filter a subset of data
- Open the filter panel by clicking the filter icon on the top bar.
- Choose the correct filtering scheme
- Click " Refresh data table" on the visualization.
- This syncs with all the other visualization on the Group comparison (ANOVA)
- Note: Try selecting and filtering to on the previous visualization then open up Group Comparison (ANOVA)
See RAI Group Comparison (ANOVA) video for an explanation of how to interpret the value.