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Jun 26th, 2025
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  1. > dput(ra_df_joined)
  2. structure(list(jurisdiction_id.x = c(258L, 258L, 258L, 258L,
  3. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  4. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  5. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  6. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L), hazard_name = c("Pandemic Influenza",
  7. "Pandemic Influenza", "Pandemic Influenza", "Hurricane/Tropical Storm",
  8. "Hurricane/Tropical Storm", "Hurricane/Tropical Storm", "Extreme Heat",
  9. "Extreme Heat", "Extreme Heat", "Nuclear Attack", "Nuclear Attack",
  10. "Nuclear Attack", "Drought ", "Drought ", "Drought ", "Flood",
  11. "Flood", "Flood", "Windstorm ", "Windstorm ", "Windstorm ", "Biological Disease Outbreak",
  12. "Biological Disease Outbreak", "Biological Disease Outbreak",
  13. "Power Failure ", "Power Failure ", "Power Failure ", "Biological Terrorism - Communicable (including A - B - C agents)",
  14. "Biological Terrorism - Communicable (including A - B - C agents)",
  15. "Biological Terrorism - Communicable (including A - B - C agents)",
  16. "Mass Casualty Incidents", "Mass Casualty Incidents", "Mass Casualty Incidents",
  17. "Biological Terrorism - Non-Communicable (including A - B - C agents)",
  18. "Biological Terrorism - Non-Communicable (including A - B - C agents)",
  19. "Biological Terrorism - Non-Communicable (including A - B - C agents)",
  20. "Water Supply Contamination - environmental", "Water Supply Contamination - environmental",
  21. "Water Supply Contamination - environmental", "Food Borne Disease",
  22. "Food Borne Disease", "Food Borne Disease", "Extreme Cold", "Extreme Cold",
  23. "Extreme Cold"), hazard_risk_index.x = c(152.17, 152.17, 152.17,
  24. 139.72, 139.72, 139.72, 82.09, 82.09, 82.09, 55.84, 55.84, 55.84,
  25. 56.81, 56.81, 56.81, 61.47, 61.47, 61.47, 58.19, 58.19, 58.19,
  26. 60.4, 60.4, 60.4, 51.72, 51.72, 51.72, 49.37, 49.37, 49.37, 53.08,
  27. 53.08, 53.08, 45.57, 45.57, 45.57, 47.89, 47.89, 47.89, 50.29,
  28. 50.29, 50.29, 47.83, 47.83, 47.83), residual_risk_index.x = c(11.22,
  29. 11.22, 11.22, 9.62, 9.62, 9.62, 6.08, 6.08, 6.08, 5.1, 5.1, 5.1,
  30. 4.76, 4.76, 4.76, 4.53, 4.53, 4.53, 4.52, 4.52, 4.52, 4.41, 4.41,
  31. 4.41, 4.41, 4.41, 4.41, 4.08, 4.08, 4.08, 3.93, 3.93, 3.93, 3.82,
  32. 3.82, 3.82, 3.82, 3.82, 3.82, 3.59, 3.59, 3.59, 3.49, 3.49, 3.49
  33. ), probability_score.x = c(3, 3, 3, 3.22, 3.22, 3.22, 2.65, 2.65,
  34. 2.65, 1, 1, 1, 2.5, 2.5, 2.5, 1.87, 1.87, 1.87, 2.62, 2.62, 2.62,
  35. 1.33, 1.33, 1.33, 2.29, 2.29, 2.29, 1, 1, 1, 1.72, 1.72, 1.72,
  36. 1, 1, 1, 1.18, 1.18, 1.18, 1.3, 1.3, 1.3, 2.53, 2.53, 2.53),
  37. jurisdiction_id.y = c(258L, 258L, 258L, 258L, 258L, 258L,
  38. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  39. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  40. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L,
  41. 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L, 258L), Data_type = c("hazard_risk_index.y",
  42. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  43. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  44. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  45. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  46. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  47. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  48. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  49. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  50. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  51. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  52. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  53. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  54. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  55. "residual_risk_index.y", "probability_score.y", "hazard_risk_index.y",
  56. "residual_risk_index.y", "probability_score.y"), value = c(152.17,
  57. 11.22, 3, 139.72, 9.62, 3.22, 82.09, 6.08, 2.65, 55.84, 5.1,
  58. 1, 56.81, 4.76, 2.5, 61.47, 4.53, 1.87, 58.19, 4.52, 2.62,
  59. 60.4, 4.41, 1.33, 51.72, 4.41, 2.29, 49.37, 4.08, 1, 53.08,
  60. 3.93, 1.72, 45.57, 3.82, 1, 47.89, 3.82, 1.18, 50.29, 3.59,
  61. 1.3, 47.83, 3.49, 2.53)), class = c("tbl_df", "tbl", "data.frame"
  62. ), row.names = c(NA, -45L))
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