def METHOD_NAME(
    symbol: str, limit: int = 5, export: str = "", sheet_name: Optional[str] = None
):
    """Prints table showing top related queries with this stock's query. [Source: Google].
    Parameters
    ----------
    symbol : str
        Ticker symbol
    limit: int
        Number of regions to show
    sheet_name: str
        Optionally specify the name of the sheet the data is exported to.
    export: str
        Format to export data
        {"csv","json","xlsx","png","jpg","pdf","svg"}
    """
    # Retrieve a dict with top and rising queries
    df = google_model.get_queries(symbol, limit)
    if df.empty:
        return
    print_rich_table(
        df,
        headers=list(df.columns),
        title=f"Top {symbol}'s related queries",
        export=bool(export),
    )
    export_data(
        export,
        os.path.dirname(os.path.abspath(__file__)),
        "queries",
        df,
        sheet_name,
    )