{
  "tool_name": "user_136__hr__employees__attrition_drivers",
  "rf_data": {
    "tldr": {
      "description": "Headline attrition metrics and top risk signals",
      "datasets": {},
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {},
      "text": "Overall attrition stands at 16.1% across 1470 employees (logistic AUC = 0.848). The single strongest logistic predictor is Job Role: Sales Representative (OR = 6.23). XGBoost ranks Monthly Income as the highest-gain feature."
    },
    "summary_table": {
      "description": "Attrition headcount and rate across department, overtime, travel, and job level",
      "datasets": {
        "attrition_by_segment": [
          {
            "segment": "Business Travel",
            "segment_value": "Travel_Frequently",
            "attrited": 69,
            "headcount": 277,
            "attrition_rate_pct": 24.91
          },
          {
            "segment": "Business Travel",
            "segment_value": "Travel_Rarely",
            "attrited": 156,
            "headcount": 1043,
            "attrition_rate_pct": 14.96
          },
          {
            "segment": "Business Travel",
            "segment_value": "Non-Travel",
            "attrited": 12,
            "headcount": 150,
            "attrition_rate_pct": 8
          },
          {
            "segment": "Department",
            "segment_value": "Sales",
            "attrited": 92,
            "headcount": 446,
            "attrition_rate_pct": 20.63
          },
          {
            "segment": "Department",
            "segment_value": "Human Resources",
            "attrited": 12,
            "headcount": 63,
            "attrition_rate_pct": 19.05
          },
          {
            "segment": "Department",
            "segment_value": "Research & Development",
            "attrited": 133,
            "headcount": 961,
            "attrition_rate_pct": 13.84
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 1",
            "attrited": 143,
            "headcount": 543,
            "attrition_rate_pct": 26.34
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 3",
            "attrited": 32,
            "headcount": 218,
            "attrition_rate_pct": 14.68
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 2",
            "attrited": 52,
            "headcount": 534,
            "attrition_rate_pct": 9.74
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 5",
            "attrited": 5,
            "headcount": 69,
            "attrition_rate_pct": 7.25
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 4",
            "attrited": 5,
            "headcount": 106,
            "attrition_rate_pct": 4.72
          },
          {
            "segment": "Overtime",
            "segment_value": "Yes",
            "attrited": 127,
            "headcount": 416,
            "attrition_rate_pct": 30.53
          },
          {
            "segment": "Overtime",
            "segment_value": "No",
            "attrited": 110,
            "headcount": 1054,
            "attrition_rate_pct": 10.44
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "attrition_by_segment": [
          {
            "segment": "Business Travel",
            "segment_value": "Travel_Frequently",
            "attrited": 69,
            "headcount": 277,
            "attrition_rate_pct": 24.91
          },
          {
            "segment": "Business Travel",
            "segment_value": "Travel_Rarely",
            "attrited": 156,
            "headcount": 1043,
            "attrition_rate_pct": 14.96
          },
          {
            "segment": "Business Travel",
            "segment_value": "Non-Travel",
            "attrited": 12,
            "headcount": 150,
            "attrition_rate_pct": 8
          },
          {
            "segment": "Department",
            "segment_value": "Sales",
            "attrited": 92,
            "headcount": 446,
            "attrition_rate_pct": 20.63
          },
          {
            "segment": "Department",
            "segment_value": "Human Resources",
            "attrited": 12,
            "headcount": 63,
            "attrition_rate_pct": 19.05
          },
          {
            "segment": "Department",
            "segment_value": "Research & Development",
            "attrited": 133,
            "headcount": 961,
            "attrition_rate_pct": 13.84
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 1",
            "attrited": 143,
            "headcount": 543,
            "attrition_rate_pct": 26.34
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 3",
            "attrited": 32,
            "headcount": 218,
            "attrition_rate_pct": 14.68
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 2",
            "attrited": 52,
            "headcount": 534,
            "attrition_rate_pct": 9.74
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 5",
            "attrited": 5,
            "headcount": 69,
            "attrition_rate_pct": 7.25
          },
          {
            "segment": "Job Level",
            "segment_value": "Level 4",
            "attrited": 5,
            "headcount": 106,
            "attrition_rate_pct": 4.72
          },
          {
            "segment": "Overtime",
            "segment_value": "Yes",
            "attrited": 127,
            "headcount": 416,
            "attrition_rate_pct": 30.53
          },
          {
            "segment": "Overtime",
            "segment_value": "No",
            "attrited": 110,
            "headcount": 1054,
            "attrition_rate_pct": 10.44
          }
        ]
      },
      "text": "Attrition rates are broken down across department, overtime status, business travel frequency, and job level. The highest-attrition segment is Overtime \u2014 Yes \u2014 at 30.5% (127 attritions / 416 employees). Groups with fewer than 5 employees are excluded."
    },
    "comparison_horizontal_bar": {
      "description": "Percentage of employees who left, broken down by job role",
      "datasets": {
        "role_attrition": [
          {
            "job_role": "Sales Representative",
            "attrition_rate_pct": 39.76
          },
          {
            "job_role": "Laboratory Technician",
            "attrition_rate_pct": 23.94
          },
          {
            "job_role": "Human Resources",
            "attrition_rate_pct": 23.08
          },
          {
            "job_role": "Sales Executive",
            "attrition_rate_pct": 17.48
          },
          {
            "job_role": "Research Scientist",
            "attrition_rate_pct": 16.1
          },
          {
            "job_role": "Manufacturing Director",
            "attrition_rate_pct": 6.9
          },
          {
            "job_role": "Healthcare Representative",
            "attrition_rate_pct": 6.87
          },
          {
            "job_role": "Manager",
            "attrition_rate_pct": 4.9
          },
          {
            "job_role": "Research Director",
            "attrition_rate_pct": 2.5
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "role_attrition": [
          {
            "job_role": "Sales Representative",
            "attrition_rate_pct": 39.76
          },
          {
            "job_role": "Laboratory Technician",
            "attrition_rate_pct": 23.94
          },
          {
            "job_role": "Human Resources",
            "attrition_rate_pct": 23.08
          },
          {
            "job_role": "Sales Executive",
            "attrition_rate_pct": 17.48
          },
          {
            "job_role": "Research Scientist",
            "attrition_rate_pct": 16.1
          },
          {
            "job_role": "Manufacturing Director",
            "attrition_rate_pct": 6.9
          },
          {
            "job_role": "Healthcare Representative",
            "attrition_rate_pct": 6.87
          },
          {
            "job_role": "Manager",
            "attrition_rate_pct": 4.9
          },
          {
            "job_role": "Research Director",
            "attrition_rate_pct": 2.5
          }
        ]
      },
      "text": "Sales Representative has the highest attrition rate at 39.8%, while Research Director has the lowest at 2.5%. Across all 9 roles shown, the median attrition rate is 16.1%. Roles with fewer than 5 employees are excluded."
    },
    "effect_horizontal_bar": {
      "description": "Top 10 predictors by effect size with 95% confidence intervals",
      "datasets": {
        "logistic_or": [
          {
            "predictor": "Job Role: Sales Representative",
            "odds_ratio": 6.2317,
            "ci_lower": 0.6588,
            "ci_upper": 69.0678
          },
          {
            "predictor": "Overtime: Yes",
            "odds_ratio": 5.9684,
            "ci_lower": 4.2041,
            "ci_upper": 8.5536
          },
          {
            "predictor": "Business Travel: Travel Frequently",
            "odds_ratio": 5.4407,
            "ci_lower": 2.6411,
            "ci_upper": 12.0076
          },
          {
            "predictor": "Job Role: Laboratory Technician",
            "odds_ratio": 5.2511,
            "ci_lower": 2.129,
            "ci_upper": 14.0957
          },
          {
            "predictor": "Business Travel: Travel Rarely",
            "odds_ratio": 2.4155,
            "ci_lower": 1.244,
            "ci_upper": 5.0693
          },
          {
            "predictor": "Job Role: Sales Executive",
            "odds_ratio": 2.2519,
            "ci_lower": 0.2626,
            "ci_upper": 22.9255
          },
          {
            "predictor": "Job Role: Research Scientist",
            "odds_ratio": 2.1032,
            "ci_lower": 0.8343,
            "ci_upper": 5.7155
          },
          {
            "predictor": "Environment Satisfaction",
            "odds_ratio": 0.6656,
            "ci_lower": 0.5696,
            "ci_upper": 0.7756
          },
          {
            "predictor": "Stock Option Level",
            "odds_ratio": 0.5627,
            "ci_lower": 0.4482,
            "ci_upper": 0.6989
          },
          {
            "predictor": "Job Role: Research Director",
            "odds_ratio": 0.2867,
            "ci_lower": 0.0343,
            "ci_upper": 1.656
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "logistic_or": [
          {
            "predictor": "Job Role: Sales Representative",
            "odds_ratio": 6.2317,
            "ci_lower": 0.6588,
            "ci_upper": 69.0678
          },
          {
            "predictor": "Overtime: Yes",
            "odds_ratio": 5.9684,
            "ci_lower": 4.2041,
            "ci_upper": 8.5536
          },
          {
            "predictor": "Business Travel: Travel Frequently",
            "odds_ratio": 5.4407,
            "ci_lower": 2.6411,
            "ci_upper": 12.0076
          },
          {
            "predictor": "Job Role: Laboratory Technician",
            "odds_ratio": 5.2511,
            "ci_lower": 2.129,
            "ci_upper": 14.0957
          },
          {
            "predictor": "Business Travel: Travel Rarely",
            "odds_ratio": 2.4155,
            "ci_lower": 1.244,
            "ci_upper": 5.0693
          },
          {
            "predictor": "Job Role: Sales Executive",
            "odds_ratio": 2.2519,
            "ci_lower": 0.2626,
            "ci_upper": 22.9255
          },
          {
            "predictor": "Job Role: Research Scientist",
            "odds_ratio": 2.1032,
            "ci_lower": 0.8343,
            "ci_upper": 5.7155
          },
          {
            "predictor": "Environment Satisfaction",
            "odds_ratio": 0.6656,
            "ci_lower": 0.5696,
            "ci_upper": 0.7756
          },
          {
            "predictor": "Stock Option Level",
            "odds_ratio": 0.5627,
            "ci_lower": 0.4482,
            "ci_upper": 0.6989
          },
          {
            "predictor": "Job Role: Research Director",
            "odds_ratio": 0.2867,
            "ci_lower": 0.0343,
            "ci_upper": 1.656
          }
        ]
      },
      "text": "Showing the top 10 predictors by absolute log-odds magnitude. Job Role: Sales Representative has the highest odds ratio (OR = 6.23, 95% CI: 0.66\u201369.07), meaning employees with this attribute are 6.2x more likely to attrite. 7 of 10 shown predictors are associated with increased attrition (OR > 1). Predictors with extreme or infinite ORs (separation) are excluded."
    },
    "effect_table": {
      "description": "Every predictor with odds ratio, 95% CI, and p-value",
      "datasets": {
        "logistic_full_table": [
          {
            "predictor": "Age",
            "odds_ratio": "0.9626",
            "ci_lower": "0.938",
            "ci_upper": "0.9869",
            "p_value": "0.0033"
          },
          {
            "predictor": "Department: Research & Development",
            "odds_ratio": "209340.8217",
            "ci_lower": "1.997e+86",
            "ci_upper": "6.578e+74",
            "p_value": "0.9744"
          },
          {
            "predictor": "Department: Sales",
            "odds_ratio": "332185.6684",
            "ci_lower": "4.253e+60",
            "ci_upper": "4.978e+73",
            "p_value": "0.9734"
          },
          {
            "predictor": "Job Role: Human Resources",
            "odds_ratio": "875381.3986",
            "ci_lower": "0",
            "ci_upper": null,
            "p_value": "0.9714"
          },
          {
            "predictor": "Job Role: Laboratory Technician",
            "odds_ratio": "5.2511",
            "ci_lower": "2.129",
            "ci_upper": "14.0957",
            "p_value": "5.416e-04"
          },
          {
            "predictor": "Job Role: Manager",
            "odds_ratio": "0.8666",
            "ci_lower": "0.1386",
            "ci_upper": "4.5177",
            "p_value": "0.8697"
          },
          {
            "predictor": "Job Role: Manufacturing Director",
            "odds_ratio": "1.2691",
            "ci_lower": "0.4522",
            "ci_upper": "3.627",
            "p_value": "0.6501"
          },
          {
            "predictor": "Job Role: Research Director",
            "odds_ratio": "0.2867",
            "ci_lower": "0.0343",
            "ci_upper": "1.656",
            "p_value": "0.1913"
          },
          {
            "predictor": "Job Role: Research Scientist",
            "odds_ratio": "2.1032",
            "ci_lower": "0.8343",
            "ci_upper": "5.7155",
            "p_value": "0.1276"
          },
          {
            "predictor": "Job Role: Sales Executive",
            "odds_ratio": "2.2519",
            "ci_lower": "0.2626",
            "ci_upper": "22.9255",
            "p_value": "0.4605"
          },
          {
            "predictor": "Job Role: Sales Representative",
            "odds_ratio": "6.2317",
            "ci_lower": "0.6588",
            "ci_upper": "69.0678",
            "p_value": "0.112"
          },
          {
            "predictor": "Job Level",
            "odds_ratio": "0.9769",
            "ci_lower": "0.5398",
            "ci_upper": "1.7632",
            "p_value": "0.9383"
          },
          {
            "predictor": "Monthly Income",
            "odds_ratio": "1",
            "ci_lower": "0.9999",
            "ci_upper": "1.0002",
            "p_value": "0.7274"
          },
          {
            "predictor": "Years at Company",
            "odds_ratio": "1.0906",
            "ci_lower": "1.0132",
            "ci_upper": "1.1725",
            "p_value": "0.0195"
          },
          {
            "predictor": "Years in Current Role",
            "odds_ratio": "0.874",
            "ci_lower": "0.802",
            "ci_upper": "0.9516",
            "p_value": "0.002"
          },
          {
            "predictor": "Overtime: Yes",
            "odds_ratio": "5.9684",
            "ci_lower": "4.2041",
            "ci_upper": "8.5536",
            "p_value": "5.564e-23"
          },
          {
            "predictor": "Business Travel: Travel Frequently",
            "odds_ratio": "5.4407",
            "ci_lower": "2.6411",
            "ci_upper": "12.0076",
            "p_value": "1.041e-05"
          },
          {
            "predictor": "Business Travel: Travel Rarely",
            "odds_ratio": "2.4155",
            "ci_lower": "1.244",
            "ci_upper": "5.0693",
            "p_value": "0.0133"
          },
          {
            "predictor": "Job Satisfaction",
            "odds_ratio": "0.6825",
            "ci_lower": "0.5854",
            "ci_upper": "0.7937",
            "p_value": "8.423e-07"
          },
          {
            "predictor": "Environment Satisfaction",
            "odds_ratio": "0.6656",
            "ci_lower": "0.5696",
            "ci_upper": "0.7756",
            "p_value": "2.305e-07"
          },
          {
            "predictor": "Work Life Balance",
            "odds_ratio": "0.7372",
            "ci_lower": "0.585",
            "ci_upper": "0.9285",
            "p_value": "0.0096"
          },
          {
            "predictor": "Distance from Home",
            "odds_ratio": "1.0406",
            "ci_lower": "1.0198",
            "ci_upper": "1.0619",
            "p_value": "1.137e-04"
          },
          {
            "predictor": "Total Working Years",
            "odds_ratio": "0.9443",
            "ci_lower": "0.8924",
            "ci_upper": "0.9971",
            "p_value": "0.0424"
          },
          {
            "predictor": "Number of Companies Worked",
            "odds_ratio": "1.1829",
            "ci_lower": "1.1016",
            "ci_upper": "1.2699",
            "p_value": "3.541e-06"
          },
          {
            "predictor": "Years Since Last Promotion",
            "odds_ratio": "1.1785",
            "ci_lower": "1.0897",
            "ci_upper": "1.2769",
            "p_value": "4.790e-05"
          },
          {
            "predictor": "Stock Option Level",
            "odds_ratio": "0.5627",
            "ci_lower": "0.4482",
            "ci_upper": "0.6989",
            "p_value": "3.755e-07"
          },
          {
            "predictor": "Training Times Last Year",
            "odds_ratio": "0.8432",
            "ci_lower": "0.734",
            "ci_upper": "0.9653",
            "p_value": "0.0146"
          },
          {
            "predictor": "Years with Curr Manager",
            "odds_ratio": "0.8701",
            "ci_lower": "0.7972",
            "ci_upper": "0.9503",
            "p_value": "0.0019"
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "logistic_full_table": [
          {
            "predictor": "Age",
            "odds_ratio": "0.9626",
            "ci_lower": "0.938",
            "ci_upper": "0.9869",
            "p_value": "0.0033"
          },
          {
            "predictor": "Department: Research & Development",
            "odds_ratio": "209340.8217",
            "ci_lower": "1.997e+86",
            "ci_upper": "6.578e+74",
            "p_value": "0.9744"
          },
          {
            "predictor": "Department: Sales",
            "odds_ratio": "332185.6684",
            "ci_lower": "4.253e+60",
            "ci_upper": "4.978e+73",
            "p_value": "0.9734"
          },
          {
            "predictor": "Job Role: Human Resources",
            "odds_ratio": "875381.3986",
            "ci_lower": "0",
            "ci_upper": null,
            "p_value": "0.9714"
          },
          {
            "predictor": "Job Role: Laboratory Technician",
            "odds_ratio": "5.2511",
            "ci_lower": "2.129",
            "ci_upper": "14.0957",
            "p_value": "5.416e-04"
          },
          {
            "predictor": "Job Role: Manager",
            "odds_ratio": "0.8666",
            "ci_lower": "0.1386",
            "ci_upper": "4.5177",
            "p_value": "0.8697"
          },
          {
            "predictor": "Job Role: Manufacturing Director",
            "odds_ratio": "1.2691",
            "ci_lower": "0.4522",
            "ci_upper": "3.627",
            "p_value": "0.6501"
          },
          {
            "predictor": "Job Role: Research Director",
            "odds_ratio": "0.2867",
            "ci_lower": "0.0343",
            "ci_upper": "1.656",
            "p_value": "0.1913"
          },
          {
            "predictor": "Job Role: Research Scientist",
            "odds_ratio": "2.1032",
            "ci_lower": "0.8343",
            "ci_upper": "5.7155",
            "p_value": "0.1276"
          },
          {
            "predictor": "Job Role: Sales Executive",
            "odds_ratio": "2.2519",
            "ci_lower": "0.2626",
            "ci_upper": "22.9255",
            "p_value": "0.4605"
          },
          {
            "predictor": "Job Role: Sales Representative",
            "odds_ratio": "6.2317",
            "ci_lower": "0.6588",
            "ci_upper": "69.0678",
            "p_value": "0.112"
          },
          {
            "predictor": "Job Level",
            "odds_ratio": "0.9769",
            "ci_lower": "0.5398",
            "ci_upper": "1.7632",
            "p_value": "0.9383"
          },
          {
            "predictor": "Monthly Income",
            "odds_ratio": "1",
            "ci_lower": "0.9999",
            "ci_upper": "1.0002",
            "p_value": "0.7274"
          },
          {
            "predictor": "Years at Company",
            "odds_ratio": "1.0906",
            "ci_lower": "1.0132",
            "ci_upper": "1.1725",
            "p_value": "0.0195"
          },
          {
            "predictor": "Years in Current Role",
            "odds_ratio": "0.874",
            "ci_lower": "0.802",
            "ci_upper": "0.9516",
            "p_value": "0.002"
          },
          {
            "predictor": "Overtime: Yes",
            "odds_ratio": "5.9684",
            "ci_lower": "4.2041",
            "ci_upper": "8.5536",
            "p_value": "5.564e-23"
          },
          {
            "predictor": "Business Travel: Travel Frequently",
            "odds_ratio": "5.4407",
            "ci_lower": "2.6411",
            "ci_upper": "12.0076",
            "p_value": "1.041e-05"
          },
          {
            "predictor": "Business Travel: Travel Rarely",
            "odds_ratio": "2.4155",
            "ci_lower": "1.244",
            "ci_upper": "5.0693",
            "p_value": "0.0133"
          },
          {
            "predictor": "Job Satisfaction",
            "odds_ratio": "0.6825",
            "ci_lower": "0.5854",
            "ci_upper": "0.7937",
            "p_value": "8.423e-07"
          },
          {
            "predictor": "Environment Satisfaction",
            "odds_ratio": "0.6656",
            "ci_lower": "0.5696",
            "ci_upper": "0.7756",
            "p_value": "2.305e-07"
          },
          {
            "predictor": "Work Life Balance",
            "odds_ratio": "0.7372",
            "ci_lower": "0.585",
            "ci_upper": "0.9285",
            "p_value": "0.0096"
          },
          {
            "predictor": "Distance from Home",
            "odds_ratio": "1.0406",
            "ci_lower": "1.0198",
            "ci_upper": "1.0619",
            "p_value": "1.137e-04"
          },
          {
            "predictor": "Total Working Years",
            "odds_ratio": "0.9443",
            "ci_lower": "0.8924",
            "ci_upper": "0.9971",
            "p_value": "0.0424"
          },
          {
            "predictor": "Number of Companies Worked",
            "odds_ratio": "1.1829",
            "ci_lower": "1.1016",
            "ci_upper": "1.2699",
            "p_value": "3.541e-06"
          },
          {
            "predictor": "Years Since Last Promotion",
            "odds_ratio": "1.1785",
            "ci_lower": "1.0897",
            "ci_upper": "1.2769",
            "p_value": "4.790e-05"
          },
          {
            "predictor": "Stock Option Level",
            "odds_ratio": "0.5627",
            "ci_lower": "0.4482",
            "ci_upper": "0.6989",
            "p_value": "3.755e-07"
          },
          {
            "predictor": "Training Times Last Year",
            "odds_ratio": "0.8432",
            "ci_lower": "0.734",
            "ci_upper": "0.9653",
            "p_value": "0.0146"
          },
          {
            "predictor": "Years with Curr Manager",
            "odds_ratio": "0.8701",
            "ci_lower": "0.7972",
            "ci_upper": "0.9503",
            "p_value": "0.0019"
          }
        ]
      },
      "text": "Full logistic regression results for all 28 predictors (after dummy coding). 17 predictors are statistically significant at p < 0.05. Odds ratios and CIs are exponentiated from log-odds; NA/Inf values indicate near-complete separation and should be interpreted with caution."
    },
    "ranking_bar": {
      "description": "Gain-based feature importance ranking from XGBoost (SHAP proxy)",
      "datasets": {
        "shap_importance": [
          {
            "feature": "Monthly Income",
            "mean_absolute_shap": 0.1641
          },
          {
            "feature": "Age",
            "mean_absolute_shap": 0.0976
          },
          {
            "feature": "Distance from Home",
            "mean_absolute_shap": 0.076
          },
          {
            "feature": "Overtime: Yes",
            "mean_absolute_shap": 0.0742
          },
          {
            "feature": "Environment Satisfaction",
            "mean_absolute_shap": 0.0557
          },
          {
            "feature": "Job Satisfaction",
            "mean_absolute_shap": 0.0535
          },
          {
            "feature": "Stock Option Level",
            "mean_absolute_shap": 0.0515
          },
          {
            "feature": "Total Working Years",
            "mean_absolute_shap": 0.047
          },
          {
            "feature": "Years at Company",
            "mean_absolute_shap": 0.0448
          },
          {
            "feature": "Number of Companies Worked",
            "mean_absolute_shap": 0.0434
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "shap_importance": [
          {
            "feature": "Monthly Income",
            "mean_absolute_shap": 0.1641
          },
          {
            "feature": "Age",
            "mean_absolute_shap": 0.0976
          },
          {
            "feature": "Distance from Home",
            "mean_absolute_shap": 0.076
          },
          {
            "feature": "Overtime: Yes",
            "mean_absolute_shap": 0.0742
          },
          {
            "feature": "Environment Satisfaction",
            "mean_absolute_shap": 0.0557
          },
          {
            "feature": "Job Satisfaction",
            "mean_absolute_shap": 0.0535
          },
          {
            "feature": "Stock Option Level",
            "mean_absolute_shap": 0.0515
          },
          {
            "feature": "Total Working Years",
            "mean_absolute_shap": 0.047
          },
          {
            "feature": "Years at Company",
            "mean_absolute_shap": 0.0448
          },
          {
            "feature": "Number of Companies Worked",
            "mean_absolute_shap": 0.0434
          }
        ]
      },
      "text": "XGBoost gain-based feature importance (proxy for mean absolute SHAP values) across the top 10 drivers. Monthly Income contributes the most gain to the model's attrition predictions, suggesting it provides the largest non-linear discrimination between employees who leave and those who stay. Unlike logistic odds ratios, these ranks capture interaction effects."
    },
    "overlap_heatmap": {
      "description": "Attrition rate for each combination of overtime status and department",
      "datasets": {
        "overtime_dept_heatmap": [
          {
            "overtime": "No",
            "department": "HR",
            "attrition_rate_pct": 15.22
          },
          {
            "overtime": "Yes",
            "department": "HR",
            "attrition_rate_pct": 29.41
          },
          {
            "overtime": "No",
            "department": "R&D",
            "attrition_rate_pct": 8.55
          },
          {
            "overtime": "Yes",
            "department": "R&D",
            "attrition_rate_pct": 27.31
          },
          {
            "overtime": "No",
            "department": "Sales",
            "attrition_rate_pct": 13.84
          },
          {
            "overtime": "Yes",
            "department": "Sales",
            "attrition_rate_pct": 37.5
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "overtime_dept_heatmap": [
          {
            "overtime": "No",
            "department": "HR",
            "attrition_rate_pct": 15.22
          },
          {
            "overtime": "Yes",
            "department": "HR",
            "attrition_rate_pct": 29.41
          },
          {
            "overtime": "No",
            "department": "R&D",
            "attrition_rate_pct": 8.55
          },
          {
            "overtime": "Yes",
            "department": "R&D",
            "attrition_rate_pct": 27.31
          },
          {
            "overtime": "No",
            "department": "Sales",
            "attrition_rate_pct": 13.84
          },
          {
            "overtime": "Yes",
            "department": "Sales",
            "attrition_rate_pct": 37.5
          }
        ]
      },
      "text": "The overtime \u00d7 department interaction reveals where workload and organisational context combine to elevate attrition risk. The highest-risk cell is Yes employees in Sales at 37.5% attrition. Cells with fewer than 5 employees are excluded from this view."
    },
    "trend_line": {
      "description": "Kaplan-Meier probability of remaining at the company over years of tenure",
      "datasets": {
        "survival_curve": [
          {
            "tenure_year": 0,
            "retention_probability": 0.9891
          },
          {
            "tenure_year": 1,
            "retention_probability": 0.9482
          },
          {
            "tenure_year": 2,
            "retention_probability": 0.9278
          },
          {
            "tenure_year": 3,
            "retention_probability": 0.9113
          },
          {
            "tenure_year": 4,
            "retention_probability": 0.894
          },
          {
            "tenure_year": 5,
            "retention_probability": 0.8729
          },
          {
            "tenure_year": 6,
            "retention_probability": 0.8616
          },
          {
            "tenure_year": 7,
            "retention_probability": 0.8463
          },
          {
            "tenure_year": 8,
            "retention_probability": 0.8318
          },
          {
            "tenure_year": 9,
            "retention_probability": 0.817
          },
          {
            "tenure_year": 10,
            "retention_probability": 0.7768
          },
          {
            "tenure_year": 11,
            "retention_probability": 0.7705
          },
          {
            "tenure_year": 13,
            "retention_probability": 0.7628
          },
          {
            "tenure_year": 14,
            "retention_probability": 0.7541
          },
          {
            "tenure_year": 15,
            "retention_probability": 0.7494
          },
          {
            "tenure_year": 16,
            "retention_probability": 0.7439
          },
          {
            "tenure_year": 17,
            "retention_probability": 0.738
          },
          {
            "tenure_year": 18,
            "retention_probability": 0.7317
          },
          {
            "tenure_year": 19,
            "retention_probability": 0.7247
          },
          {
            "tenure_year": 20,
            "retention_probability": 0.7169
          },
          {
            "tenure_year": 21,
            "retention_probability": 0.706
          },
          {
            "tenure_year": 22,
            "retention_probability": 0.6924
          },
          {
            "tenure_year": 23,
            "retention_probability": 0.6737
          },
          {
            "tenure_year": 24,
            "retention_probability": 0.6545
          },
          {
            "tenure_year": 31,
            "retention_probability": 0.6136
          },
          {
            "tenure_year": 32,
            "retention_probability": 0.5664
          },
          {
            "tenure_year": 33,
            "retention_probability": 0.5097
          }
        ]
      },
      "metrics": {
        "Employees Analysed": 1470,
        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
      },
      "tables": {
        "survival_curve": [
          {
            "tenure_year": 0,
            "retention_probability": 0.9891
          },
          {
            "tenure_year": 1,
            "retention_probability": 0.9482
          },
          {
            "tenure_year": 2,
            "retention_probability": 0.9278
          },
          {
            "tenure_year": 3,
            "retention_probability": 0.9113
          },
          {
            "tenure_year": 4,
            "retention_probability": 0.894
          },
          {
            "tenure_year": 5,
            "retention_probability": 0.8729
          },
          {
            "tenure_year": 6,
            "retention_probability": 0.8616
          },
          {
            "tenure_year": 7,
            "retention_probability": 0.8463
          },
          {
            "tenure_year": 8,
            "retention_probability": 0.8318
          },
          {
            "tenure_year": 9,
            "retention_probability": 0.817
          },
          {
            "tenure_year": 10,
            "retention_probability": 0.7768
          },
          {
            "tenure_year": 11,
            "retention_probability": 0.7705
          },
          {
            "tenure_year": 13,
            "retention_probability": 0.7628
          },
          {
            "tenure_year": 14,
            "retention_probability": 0.7541
          },
          {
            "tenure_year": 15,
            "retention_probability": 0.7494
          },
          {
            "tenure_year": 16,
            "retention_probability": 0.7439
          },
          {
            "tenure_year": 17,
            "retention_probability": 0.738
          },
          {
            "tenure_year": 18,
            "retention_probability": 0.7317
          },
          {
            "tenure_year": 19,
            "retention_probability": 0.7247
          },
          {
            "tenure_year": 20,
            "retention_probability": 0.7169
          },
          {
            "tenure_year": 21,
            "retention_probability": 0.706
          },
          {
            "tenure_year": 22,
            "retention_probability": 0.6924
          },
          {
            "tenure_year": 23,
            "retention_probability": 0.6737
          },
          {
            "tenure_year": 24,
            "retention_probability": 0.6545
          },
          {
            "tenure_year": 31,
            "retention_probability": 0.6136
          },
          {
            "tenure_year": 32,
            "retention_probability": 0.5664
          },
          {
            "tenure_year": 33,
            "retention_probability": 0.5097
          }
        ]
      },
      "text": "The Kaplan-Meier survival curve shows employee retention probability over tenure. After 33 years, an estimated 51.0% of employees remain. By year 5, 87.3% of employees are still with the company. Steep early drops indicate the first few years carry the highest attrition risk."
    },
    "diagnostic_scatter": {
      "description": "Logistic regression ROC curve (AUC = 0.848)",
      "datasets": {
        "roc_curve": [
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0675
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0633
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0591
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0549
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0506
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0464
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0422
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.038
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0338
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0295
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0253
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0211
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0169
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0127
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0084
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0.0042
          },
          {
            "false_positive_rate": 0,
            "true_positive_rate": 0
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1266
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1224
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1181
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1139
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1097
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1055
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.1013
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.097
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0928
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0886
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0844
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0802
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0759
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0717
          },
          {
            "false_positive_rate": 0.0008,
            "true_positive_rate": 0.0675
          },
          {
            "false_positive_rate": 0.0016,
            "true_positive_rate": 0.135
          },
          {
            "false_positive_rate": 0.0016,
            "true_positive_rate": 0.1308
          },
          {
            "false_positive_rate": 0.0016,
            "true_positive_rate": 0.1266
          },
          {
            "false_positive_rate": 0.0024,
            "true_positive_rate": 0.1519
          },
          {
            "false_positive_rate": 0.0024,
            "true_positive_rate": 0.1477
          },
          {
            "false_positive_rate": 0.0024,
            "true_positive_rate": 0.1435
          },
          {
            "false_positive_rate": 0.0024,
            "true_positive_rate": 0.1392
          },
          {
            "false_positive_rate": 0.0024,
            "true_positive_rate": 0.135
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1772
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.173
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1688
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1646
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1603
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1561
          },
          {
            "false_positive_rate": 0.0032,
            "true_positive_rate": 0.1519
          },
          {
            "false_positive_rate": 0.0041,
            "true_positive_rate": 0.1772
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2321
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2278
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2236
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2194
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2152
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.211
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2068
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.2025
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1983
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1941
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1899
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1857
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1814
          },
          {
            "false_positive_rate": 0.0049,
            "true_positive_rate": 0.1772
          },
          {
            "false_positive_rate": 0.0057,
            "true_positive_rate": 0.2321
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2616
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2574
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2532
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2489
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2447
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2405
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2363
          },
          {
            "false_positive_rate": 0.0065,
            "true_positive_rate": 0.2321
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.3038
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2996
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2954
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2911
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2869
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2827
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2785
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2743
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.27
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2658
          },
          {
            "false_positive_rate": 0.0073,
            "true_positive_rate": 0.2616
          },
          {
            "false_positive_rate": 0.0081,
            "true_positive_rate": 0.3038
          },
          {
            "false_positive_rate": 0.0089,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.0089,
            "true_positive_rate": 0.3122
          },
          {
            "false_positive_rate": 0.0089,
            "true_positive_rate": 0.308
          },
          {
            "false_positive_rate": 0.0089,
            "true_positive_rate": 0.3038
          },
          {
            "false_positive_rate": 0.0097,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.0105,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.0114,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.0122,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3376
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3333
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3291
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3249
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3207
          },
          {
            "false_positive_rate": 0.013,
            "true_positive_rate": 0.3165
          },
          {
            "false_positive_rate": 0.0138,
            "true_positive_rate": 0.3376
          },
          {
            "false_positive_rate": 0.0146,
            "true_positive_rate": 0.3418
          },
          {
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        "Attrition Rate": "16.12%",
        "Logistic AUC": 0.8476,
        "Top Driver OR": 6.23,
        "Overtime Attrition Rate": "30.53%"
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            "false_positive_rate": 0.983,
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          {
            "false_positive_rate": 0.9838,
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          {
            "false_positive_rate": 0.9846,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.9854,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.9862,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.987,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.9878,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.9886,
            "true_positive_rate": 1
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          {
            "false_positive_rate": 0.9895,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9903,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9911,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9919,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9927,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9935,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9943,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9951,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9959,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9968,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9976,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9984,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 0.9992,
            "true_positive_rate": 1
          },
          {
            "false_positive_rate": 1,
            "true_positive_rate": 1
          }
        ]
      },
      "text": "The ROC curve summarises the logistic regression model's ability to distinguish employees who will attrite from those who will not. AUC = 0.848 indicates good discriminative performance. A diagonal line would represent random guessing (AUC = 0.5); the further the curve bows toward the top-left, the better the model."
    }
  },
  "card_plan": [
    {
      "id": "tldr",
      "title": "Executive Summary",
      "default_kind": "tldr",
      "allowed_kinds": [
        "tldr"
      ],
      "insight_focus": "What is the overall attrition rate, and what are the top 3 actionable factors HR should address to reduce voluntary turnover?"
    },
    {
      "id": "overview",
      "title": "Analysis Overview",
      "default_kind": "overview",
      "allowed_kinds": [
        "overview"
      ],
      "insight_focus": "What data was analyzed, which models were used (logistic regression + XGBoost SHAP), and what methodology was applied to identify attrition drivers?"
    },
    {
      "id": "preprocessing",
      "title": "Data Quality",
      "default_kind": "preprocessing",
      "allowed_kinds": [
        "preprocessing"
      ],
      "insight_focus": "Were there missing values, class imbalance in the attrition outcome (~16% base rate), or encoding issues requiring handling before modeling?"
    },
    {
      "id": "summary_table",
      "data": "attrition_by_segment",
      "title": "Attrition Rate by Segment",
      "columns": {
        "segment": {
          "role": "category"
        },
        "attrited": {
          "role": "value"
        },
        "headcount": {
          "role": "value"
        },
        "segment_value": {
          "role": "category"
        },
        "attrition_rate_pct": {
          "role": "value"
        }
      },
      "default_kind": "table",
      "allowed_kinds": [
        "table"
      ],
      "insight_focus": "What is the baseline attrition rate and how does it vary across departments, job levels, business travel frequency, and overtime status?"
    },
    {
      "id": "comparison_horizontal_bar",
      "data": "role_attrition",
      "title": "Attrition Rate by Job Role",
      "columns": {
        "job_role": {
          "role": "category"
        },
        "attrition_rate_pct": {
          "role": "value"
        }
      },
      "default_kind": "horizontal_bar",
      "allowed_kinds": [
        "horizontal_bar"
      ],
      "insight_focus": "Which job roles have disproportionately high attrition rates that warrant targeted retention programs or compensation reviews?"
    },
    {
      "id": "effect_horizontal_bar",
      "data": "logistic_or",
      "title": "Logistic Regression: Odds Ratios",
      "columns": {
        "ci_lower": {
          "role": "lower"
        },
        "ci_upper": {
          "role": "upper"
        },
        "predictor": {
          "role": "category"
        },
        "odds_ratio": {
          "role": "value"
        }
      },
      "default_kind": "horizontal_bar",
      "allowed_kinds": [
        "horizontal_bar"
      ],
      "insight_focus": "Which predictors significantly increase or decrease the odds of attrition after controlling for other factors, and how large are the effects in interpretable odds-ratio terms?"
    },
    {
      "id": "effect_table",
      "data": "logistic_full_table",
      "title": "Logistic Regression: Full Coefficient Table",
      "columns": {
        "p_value": {
          "role": "significance"
        },
        "ci_lower": {
          "role": "lower"
        },
        "ci_upper": {
          "role": "upper"
        },
        "predictor": {
          "role": "category"
        },
        "odds_ratio": {
          "role": "value"
        }
      },
      "default_kind": "table",
      "allowed_kinds": [
        "table"
      ],
      "insight_focus": "What is the complete statistical evidence for each predictor, including significance levels and confidence intervals for the HR leadership briefing?"
    },
    {
      "id": "ranking_bar",
      "data": "shap_importance",
      "title": "XGBoost SHAP Feature Importance",
      "columns": {
        "feature": {
          "role": "category"
        },
        "mean_absolute_shap": {
          "role": "value"
        }
      },
      "default_kind": "horizontal_bar",
      "allowed_kinds": [
        "horizontal_bar"
      ],
      "insight_focus": "Which features have the greatest non-linear impact on attrition risk according to XGBoost SHAP values, and do they match the logistic regression ranking?"
    },
    {
      "id": "overlap_heatmap",
      "data": "overtime_dept_heatmap",
      "title": "Overtime \u00d7 Department Attrition Heatmap",
      "columns": {
        "overtime": {
          "role": "category"
        },
        "department": {
          "role": "category"
        },
        "attrition_rate_pct": {
          "role": "value"
        }
      },
      "default_kind": "heatmap",
      "allowed_kinds": [
        "heatmap"
      ],
      "insight_focus": "Is overtime-driven attrition concentrated in specific departments (e.g., Sales), or is it a uniform company-wide pattern across R&D and HR?"
    },
    {
      "id": "trend_line",
      "data": "survival_curve",
      "title": "Employee Retention Survival Curve",
      "columns": {
        "tenure_year": {
          "role": "temporal"
        },
        "retention_probability": {
          "role": "value"
        }
      },
      "default_kind": "line",
      "allowed_kinds": [
        "line"
      ],
      "insight_focus": "At which tenure milestones (1-year, 3-year, 5-year marks) is attrition risk highest, and does retention stabilize for employees who pass the 5-year threshold?"
    },
    {
      "id": "diagnostic_scatter",
      "data": "roc_curve",
      "title": "Model Discrimination: ROC Curve",
      "columns": {
        "false_positive_rate": {
          "role": "value"
        },
        "true_positive_rate": {
          "role": "value"
        }
      },
      "default_kind": "scatter",
      "allowed_kinds": [
        "scatter"
      ],
      "insight_focus": "How well does the logistic regression model discriminate between employees who will leave and those who will stay, as measured by AUC?"
    }
  ],
  "insights": {},
  "generated_at": "2026-04-15T21:56:14.195764+00:00"
}