Based on the inspection of the CSV files, here are the potential data misalignment issues identified:

### Issue 1: Data Misalignment in `recent-grads.csv`

```json
{
    "issue": "Data misalignment in recent-grads.csv",
    "evidence": "Row 1: 'Major_code 2419 PETROLEUM ENGINEERING Engineering 2339 1976 1850 37 0.016348 110000 95000 125000 ...'",
    "description": "The data in the 'recent-grads.csv' file shows misalignment issues, where the values are not correctly placed under their respective column headers. For example, the 'Unemployment_rate' value (0.016348) appears under 'Major', which indicates a shift in data columns."
}
```

### Issue 2: Data Misalignment in `grad-students.csv`

```json
{
    "issue": "Data misalignment in grad-students.csv",
    "evidence": "Row 2: 'Computer & Mathematics 9109 171 40492 29553 2482 0.057756 60000.0 75000.0 46000 5393 53819 43163 ...'",
    "description": "The 'grad-students.csv' file has data misalignment where the 'Major' category overlaps with other columns such as 'Grad_unemployed'. This leads to incorrect representation of the data under the wrong headers."
}
```

### Issue 3: Potential Header Misalignment in `all-ages.csv`

```json
{
    "issue": "Potential header misalignment in all-ages.csv",
    "evidence": "Row 4: 'FOOD SCIENCE Agriculture & Natural Resources 24280 17281 12722 894 0.049188 62000 38500 90000.0'",
    "description": "In the 'all-ages.csv' file, it appears that some values are misaligned with their headers, particularly in rows with multiple words in the 'Major' column, causing subsequent columns to shift."
}
```

### Issue 4: Inconsistent Data Formatting in `women-stem.csv`

```json
{
    "issue": "Inconsistent data formatting in women-stem.csv",
    "evidence": "Row 3: 'ENGINEERING MECHANICS PHYSICS AND SCIENCE Engineering 2990 126 0.04 52200 34900 80000'",
    "description": "The 'women-stem.csv' file shows inconsistent data formatting where some rows have shifted columns. The 'Unemployment_rate' (0.04) is placed under the 'Major' column, indicating a misalignment issue."
}
```

These issues indicate that the datasets have significant misalignment problems that need to be addressed to ensure accurate data representation and analysis.