code: def analyze_df(df: DataFrame) -> dict:
      if len(df) == 0:
          return {}
  
      cols = pd.Series(df.columns)
  
      # https://stackoverflow.com/questions/24685012/pandas-dataframe-renaming-multiple-identically-named-columns
      for dup in cols[cols.duplicated()].unique():
          cols[cols[cols == dup].index.values.tolist()] = [
              dup + "." + str(i) if i != 0 else dup
              for i in range(sum(cols == dup))
          ]
  
      # rename the columns with the cols list.
      df.columns = cols
  
      analysis = analyze_dataset(df)
      return analysis.to_dict()
  
imports: import time
  import pandas
  from dataprep_ml.insights import analyze_dataset
  from flask import request
  from flask_restx import Resource
  from mindsdb_sql import parse_sql
  from mindsdb_sql.parser.ast import Constant, Identifier
  from mindsdb_sql.planner.utils import query_traversal
  from pandas.core.frame import DataFrame
  from mindsdb.api.http.namespaces.configs.analysis import ns_conf
  from mindsdb.api.http.utils import http_error
  from mindsdb.api.mysql.mysql_proxy.classes.fake_mysql_proxy import FakeMysqlProxy
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.utilities import log
label_desc: Use image node_id 1 for calling a global function with example usage: analyze_df(df) and returns: analysis, dict