It is used to investigate the dependence between multiple variables at the same time and to highlight the most correlated variables in a data table.
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  1. {
  2. "datafile": "./examples/data.csv",
  3. "corr_vars": [
  4. "mpg",
  5. "cyl",
  6. "disp",
  7. "hp",
  8. "drat",
  9. "wt",
  10. "qsec",
  11. "vs",
  12. "am",
  13. "gear",
  14. "carb"
  15. ],
  16. "method": "square",
  17. "corr_type": "full",
  18. "hc_method": "complete",
  19. "hc_order": true,
  20. "sig_level": 0.05,
  21. "title": "This is a test."
  22. }