Create a new CSV file with headers and optional initial data.

Args:
    filename: Name of the CSV file to create (without .csv extension)
    headers: List of column headers
    data: Optional list of rows, where each row is a list of values

Returns:
    Dictionary with creation results and file information

Read and return CSV file contents.

Args:
    filename: Name of the CSV file to read
    limit: Optional limit on number of rows to return

Returns:
    Dictionary with file contents and metadata

Update a specific cell in the CSV file.

Args:
    filename: Name of the CSV file to update
    row_index: Zero-based index of the row to update
    column: Name of the column to update
    value: New value for the cell

Returns:
    Dictionary with update results

Add a new row to the CSV file.

Args:
    filename: Name of the CSV file
    row_data: Dictionary mapping column names to values

Returns:
    Dictionary with addition results

Remove a specific row from the CSV file.

Args:
    filename: Name of the CSV file
    row_index: Zero-based index of the row to remove

Returns:
    Dictionary with removal results

Get basic information about a CSV file.

Args:
    filename: Name of the CSV file

Returns:
    Dictionary with file metadata and structure information

Get statistical summary of numeric columns in the CSV file.

Args:
    filename: Name of the CSV file

Returns:
    Dictionary with statistical analysis of numeric columns

Filter CSV data based on conditions.

Args:
    filename: Name of the CSV file
    conditions: Dictionary of column conditions. 
               Simple: {"column": "value"}
               Complex: {"column": {"gt": 5, "lt": 10, "contains": "text"}}
    limit: Optional limit on number of rows to return

Returns:
    Dictionary with filtered data

Sort CSV data by specified columns.

Args:
    filename: Name of the CSV file
    columns: Column name or list of column names to sort by
    ascending: Whether to sort in ascending order
    limit: Optional limit on number of rows to return

Returns:
    Dictionary with sorted data

Group and aggregate CSV data.

Args:
    filename: Name of the CSV file
    group_by: Column name or list of column names to group by
    aggregations: Dictionary mapping column names to aggregation functions
                 (sum, mean, count, min, max, std, etc.)

Returns:
    Dictionary with grouped and aggregated data

Validate CSV data integrity and format.

Args:
    filename: Name of the CSV file

Returns:
    Dictionary with validation results, issues, and warnings

Delete a CSV file (with backup if enabled).

Args:
    filename: Name of the CSV file to delete

Returns:
    Dictionary with deletion results

List all CSV files in the storage directory.

Returns:
    Dictionary with list of CSV files and their metadata

Get detailed information about a file path, supporting both relative and absolute paths.

Args:
    filepath: The file path to analyze (can be relative or absolute)

Returns:
    Dictionary with comprehensive path information including:
    - Whether the path is absolute or relative
    - Resolved path (following symlinks)
    - Parent directory information
    - File existence and accessibility
    - Safety validation for absolute paths

Create a new CSV file at a specific path (absolute or relative).

Args:
    filepath: Full path where the CSV file should be created
    headers: List of column headers
    data: Optional list of rows, where each row is a list of values

Returns:
    Dictionary with creation results and file information