Add detect methods to SingleTableMetadata

[amontanez24]

Problem Description

As a user, it would be very useful if some template of the metadata could automatically be detected/constructed from my data.

Expected behavior

• The detect methods only need to detect the sdtypes for each column.
• Add detect_from_csv(filepath) method
  • Parameters
    • filepath: string that is the full path to the csv file
  • Errors
    • If the metadata has already been detected, raise the following error

    Error: Metadata already exists. Create a new SingleTableMetadata object to detect from other data sources.

  • Should print the detected metadata as follows

>>> metadata = SingleTableMetadata()
>>> metadata.detect_from_csv(filepath='folder/data.csv')

Detected metadata:
{
    "columns": {
        "student_id": { "sdtype": "numerical" },
        "gender": { "sdtype": "categorical" },
        "gpa": { "sdtype": "numerical" },
        "age": { "sdtype": "numerical" },
        "education_level": { "sdtype": "categorical" }
    }
}

• Add detect_from_dataframe(data) method
  • Parameters
    • data: the dataframe
  • Errors
    • If the metadata has already been detected, raise the following error

    Error: Metadata already exists. Create a new SingleTableMetadata object to detect from other data sources.

  • Should also print the detected metadata