Update metadata.json for duration of student_placements dataset

[amontanez24]

Environment Details

Please indicate the following details about the environment in which you found the bug:

• SDV version: Any
• Python version: 3.x
• Operating System: Any

Error Description

When using the load_tabular_demo method to load the student_placements dataset, the types for the duration column are incorrect. Upon further investigation, I noticed that the metadata.json file for that dataset incorrectly annotated the duration column as a Categorical type. The snippet for that is below

{
    "tables": {
        "student_placements": {
            "fields": {
                "start_date": {
                    "type": "datetime",
                    "format": "%Y-%m-%d"
                },
                "end_date": {
                    "type": "datetime",
                    "format": "%Y-%m-%d"
                },
                "salary": {
                    "type": "numerical",
                    "subtype": "integer"
                },
                "duration": {
                    "type": "categorical"
                },

This causes the types for that column to be loaded as strings as seen in the "Steps to Reproduce" section. This causes certain operations to not correctly work during the demo.

Solution

The s3 metadata file should be updated to label the correct type for the column.

Steps to reproduce

student_placements = load_tabular_demo('student_placements')
x = student_placements['duration'].apply(type)
>>> x
0        <class 'str'>
1        <class 'str'>
2        <class 'str'>
3      <class 'float'>
4        <class 'str'>
            ...
210      <class 'str'>
211      <class 'str'>
212      <class 'str'>
213      <class 'str'>
214    <class 'float'>
Name: duration, Length: 215, dtype: object