code: def save_dict_xlsx(
      data_dict: Dict[Any, Any], save_location: str, sheet_name: str
  ) -> None:
      """
      Save a dictionary to an Excel file using the XlsxWriter engine.
  
      Args:
          data_dict (Dict[Any, Any]): The dictionary that needs to be saved to an Excel file. The keys represent the row
                                      index and the values represent the data in the row. If a dictionary value is a list
                                      or a series, each element in the list/series will be a column in the row.
  
          save_location (str): The location where the Excel file will be saved. This should include the full path and the
                              filename, for example, "/path/to/save/data.xlsx". Overwrites the file if it already exists.
  
          sheet_name (str): The name of the sheet where the dictionary will be saved in the Excel file.
  
      Returns:
          None: This function does not return anything. It saves the dictionary as an Excel file at the specified location.
      """
      pd_df = pd.DataFrame.from_dict(data_dict, orient="index")
  
      with pd.ExcelWriter(
          save_location, engine="xlsxwriter"
      ) as writer:  # pylint: disable=abstract-class-instantiated
          for n, df in (pd_df).items():
              df.to_excel(writer, sheet_name=sheet_name)
  
imports: from typing import Any, Dict
  import numpy
  import pandas
label_desc: Use image node_id 2 for calling a global function with example usage: save_dict_xlsx(data_dict, save_location, sheet_name) without return types