Here are the identified issues based on the incorrect column values:

1. **Marital Status**

```json
{
    "issue": "Incorrect value in 'Marital Status' column",
    "evidence": "'Prefer not to say' found in the 'Marital Status' column.",
    "description": "The value 'Prefer not to say' is not an expected value for the 'Marital Status' column. The expected values are ['Single', 'Married', 'Divorced', 'Widowed']."
}
```

2. **Occupation**

```json
{
    "issue": "Incorrect values in 'Occupation' column",
    "evidence": "'Employee', 'House wife', and 'Self Employeed' found in the 'Occupation' column.",
    "description": "The values 'Employee', 'House wife', and 'Self Employeed' are not expected for the 'Occupation' column. The expected values are ['Student', 'Employed', 'Unemployed', 'Retired']."
}
```

3. **Monthly Income**

```json
{
    "issue": "Incorrect values in 'Monthly Income' column",
    "evidence": "'10001 to 25000', 'More than 50000', and '25001 to 50000' found in the 'Monthly Income' column.",
    "description": "The values '10001 to 25000', 'More than 50000', and '25001 to 50000' are not expected for the 'Monthly Income' column. The expected values are ['No Income', 'Below Rs.10000', 'Rs.10001-Rs.20000', 'Rs.20001-Rs.30000', 'Rs.30001-Rs.40000', 'Above Rs.40000']."
}
```

4. **Educational Qualifications**

```json
{
    "issue": "Incorrect values in 'Educational Qualifications' column",
    "evidence": "'Ph.D', 'Uneducated', and 'School' found in the 'Educational Qualifications' column.",
    "description": "The values 'Ph.D', 'Uneducated', and 'School' are not expected for the 'Educational Qualifications' column. The expected values are ['High School', 'Graduate', 'Post Graduate', 'PhD']."
}
```

5. **Feedback**

```json
{
    "issue": "Incorrect value in 'Feedback' column",
    "evidence": "'Negative ' (with trailing space) found in the 'Feedback' column.",
    "description": "The value 'Negative ' with a trailing space is not an expected value for the 'Feedback' column. The expected values are ['Positive', 'Negative', 'Neutral']."
}
```

Next, I'll review the `datacard.md` file for any potential issues.

Here are the identified issues based on the incorrect information in the `datacard.md` file:

1. **Occupation**

```json
{
    "issue": "Mismatch in 'Occupation' descriptions between datacard and dataset",
    "evidence": "In datacard.md: 'Occupation: Occupation of the customer.'\nIn dataset: ['Student', 'Employee', 'House wife', 'Self Employeed']",
    "description": "The occupation values mentioned in the dataset ('Student', 'Employee', 'House wife', 'Self Employeed') do not match the expected description in the datacard. The datacard should specify the expected categories accurately."
}
```

2. **Monthly Income**

```json
{
    "issue": "Mismatch in 'Monthly Income' descriptions between datacard and dataset",
    "evidence": "In datacard.md: 'Monthly Income: Monthly income of the customer.'\nIn dataset: ['No Income', 'Below Rs.10000', '10001 to 25000', '25001 to 50000', 'More than 50000']",
    "description": "The monthly income values mentioned in the dataset ('No Income', 'Below Rs.10000', '10001 to 25000', '25001 to 50000', 'More than 50000') do not match the expected categories described in the datacard. The datacard should specify the expected income ranges accurately."
}
```

3. **Educational Qualifications**

```json
{
    "issue": "Mismatch in 'Educational Qualifications' descriptions between datacard and dataset",
    "evidence": "In datacard.md: 'Educational Qualifications: Educational qualifications of the customer.'\nIn dataset: ['High School', 'Graduate', 'Post Graduate', 'PhD', 'Uneducated', 'School']",
    "description": "The educational qualifications values mentioned in the dataset ('High School', 'Graduate', 'Post Graduate', 'PhD', 'Uneducated', 'School') do not match the expected categories described in the datacard. The datacard should specify the expected educational levels accurately."
}
```

4. **Feedback**

```json
{
    "issue": "Mismatch in 'Feedback' descriptions between datacard and dataset",
    "evidence": "In datacard.md: 'Feedback: Feedback provided by the customer after receiving the order.'\nIn dataset: ['Positive', 'Negative', 'Neutral', 'Negative ' (with trailing space)]",
    "description": "The feedback values mentioned in the dataset ('Positive', 'Negative', 'Neutral', 'Negative ' with trailing space) do not match the expected categories described in the datacard. The datacard should specify the expected feedback values accurately."
}
```

These issues highlight the inconsistencies between the dataset and the descriptions provided in the datacard. The datacard should be updated to accurately reflect the actual data values.