{
  "rows": 10000,
  "columns": [
    "CustomerId",
    "Surname",
    "CreditScore",
    "Geography",
    "Gender",
    "Age",
    "Tenure",
    "Balance",
    "NumOfProducts",
    "HasCrCard",
    "IsActiveMember",
    "EstimatedSalary",
    "Exited"
  ],
  "numeric_columns": [
    "CustomerId",
    "CreditScore",
    "Age",
    "Tenure",
    "Balance",
    "NumOfProducts",
    "HasCrCard",
    "IsActiveMember",
    "EstimatedSalary",
    "Exited"
  ],
  "categorical_columns": [
    "Surname",
    "Geography",
    "Gender"
  ],
  "missing_values": {
    "CustomerId": 0.0,
    "Surname": 0.0,
    "CreditScore": 0.0,
    "Geography": 0.0,
    "Gender": 0.0,
    "Age": 0.0,
    "Tenure": 0.0,
    "Balance": 0.0,
    "NumOfProducts": 0.0,
    "HasCrCard": 0.0,
    "IsActiveMember": 0.0,
    "EstimatedSalary": 0.0,
    "Exited": 0.0
  },
  "column_types": {
    "CustomerId": "int64",
    "Surname": "object",
    "CreditScore": "int64",
    "Geography": "object",
    "Gender": "object",
    "Age": "int64",
    "Tenure": "int64",
    "Balance": "float64",
    "NumOfProducts": "int64",
    "HasCrCard": "int64",
    "IsActiveMember": "int64",
    "EstimatedSalary": "float64",
    "Exited": "int64"
  }
}