Get: Bivariate Analysis

Explores relationships between two features using diverse plot types and correlation mapping.

Endpoint:

/eda/bivariateanalysis

Input Parameters:

  • usecaseVersion (integer, default: 1)
  • x_axis_feature (string, required)
  • y_axis_feature (string, required)
  • graphType (string, required: grouped boxplot, violin plot, strip plot, swarm plot, density plot, aggregation plot, stacked bar plot, mosaic plot, heatmap of counts, loess, spearman correlation map)
  • aggregate_metric (string, optional; only for aggregation plots: sum, mean, median, count)
  • sort_order (string, optional; only for aggregation plots: ascending, descending)

  • usecaseId (string, required)

    Output:

    JSON with visualizations and insights on joint distribution, trends, and correlations.