Post: Issue Spotter

Scans the dataset for common data quality issues. This includes checks for missing values, constant columns, mixed data types, and other anomalies that could affect model performance.

Endpoint:

/data_handler/issue_spotter

Input Parameters:

• file_path (string, required): Path to the dataset file.

  Output:

  Returns a summary of identified data issues, helping users clean and prepare their datasets effectively before training or analysis.