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Column Name | Missing % | #Distinct | Type | Minimum | Maximum | Mean |
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Click a row to exclude the column from the analysis.

Select a feature of interest:

Select a data point label (for scatter plots):

This heatmap indicates a p-value in which the null hypothesis is that the two columns are independent and not correlated.

- A
**high p-value**indicates the columns are independent. - A
**low p-value**indicates the columns are correlated. **N/A**indicates the test could not be performed (for Chi-square typically the expected counts are too low).

The statistical test performed is dependent on the type of data of the two features of interest:

**Categorical vs Categorical:**Chi-square test**Numeric vs Numeric:**Pearson correlation**Categorical vs Numeric:**ANOVA

Missing values are excluded from the p-value calculations.

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Label for graph legend:

Label on graph:

Missing data:

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Missing data:

Class weights: