datarobot-data-preparation

# DataRobot Data Preparation Skill This skill provides guidance for preparing and managing data in DataRobot, including uploading datasets, validating data quality, and managing dataset versions. ## Quick Start **Most common use case**: Upload and validate a dataset 1. **Upload dataset**: `upload_dataset(file_path, dataset_name)` to upload data 2. **Validate data**: `validate_dataset(dataset_id)` to check data quality 3. **Check schema**: `get_dataset_schema(dataset_id)` to review structure **Example**: "Upload sales_data.csv and check if it's ready for training" ## When to use this skill Use this skill when you need to: - Upload datasets to DataRobot - Validate data before project creation - Manage dataset versions and updates - Check data quality and completeness - Prepare data for training or predictions - Handle data format conversions - Connect to external data sources ## Key capabilities ### 1. Dataset Upload - Upload CSV, Parquet, and other file formats - Connect to databases and data warehouses - Handle large datasets efficiently - Manage dataset metadata and descriptions ### 2. Data Validation - Validate data formats and schemas - Check for missing values and data quality issues - Verify column types and formats - Identify potential data problems ### 3. Dataset Management - List and search datasets - Update dataset metadata - Create dataset versions - Delete or archive old datasets ### 4. Data Preparation - Clean and preprocess data - Handle missing v...