code: def custom_aggregate_handler(cols):
      return {
          col: [custom_agg_handler(agg) for agg in aggs]
          for col, aggs in cols.items()
      }
  
imports: import pandas
  from scipy import stats
  import dtale.global_state
  import dtale.pandas_util
  from dtale.query import run_query
  from dtale.utils import make_list
label_desc: Use image node_id 4 for calling a global function with example usage: custom_aggregate_handler(cols) and returns: unknown