code: def build(self, parent):
      hist = pandas_util.groupby(
          parent.data, self.category_col, dropna=False
      )[[parent.selected_col]].agg(self.aggs)
      hist.columns = hist.columns.droplevel(0)
      hist.columns = ["count", "data"]
      if self.category_agg == "pctsum":
          hist["data"] = hist["data"] / hist["data"].sum()
      hist.index.name = "labels"
      hist = hist.reset_index()
      hist, top, top_code = handle_top(hist, self.top)
      f = grid_formatter(grid_columns(hist), nan_display="NaN")
      return_data = f.format_lists(hist)
      return_data["top"] = top
      return return_data, self._build_code(parent, top_code)
  
imports: import numpy
  import pandas
  import plotly.express
  import plotly.graph_objs
  import pprint
  import scipy.stats
  import time
  import dtale.global_state
  import dtale.pandas_util
  from dtale.code_export import build_code_export, build_final_chart_code
  from dtale.column_builders import clean, clean_code
  from dtale.describe import load_describe
  from dtale.query import build_query, load_filterable_data
  from dtale.utils import apply, classify_type, find_dtype, find_dtype_formatter, find_selected_column, get_bool_arg, get_int_arg, get_str_arg, grid_columns, grid_formatter, json_float, json_timestamp, make_list
label_desc: Use image node_id 2 for calling the CategoryAnalysis obj's underlying member method code with example usage: obj.build(parent) and returns: return_data,  self