class_docstr: A data analyzer suite that allows users to add multiple data analyzers and analyze specified according to data type
class_docstr_tok: ["A","data","analyzer","suite","that","allows","users","to","add","multiple","data","analyzers","and","analyze","specified","according","to","data","type"]
docstr: Get overall stats for the entire data analyzer suite
  
  Returns:
      A dictionary maps attribute name to stats json object representation
docstr_tok: ["Get","overall","stats","for","the","entire","data","analyzer","suite","Returns",":","A","dictionary","maps","attribute","name","to","stats","json","object","representation"]
code: def get_statistics(self) -> Dict[str, AbstractStats]:
      """
      Get overall stats for the entire data analyzer suite
  
      Returns:
          A dictionary maps attribute name to stats json object representation
      """
      overall_stats = dict()
      for attribute_name, analyzer in self.analyzers.items():
          overall_stats[attribute_name] = analyzer.get_statistics()
      return overall_stats
  
file_path: contextual-ai/xai/data/explorer/data_analyzer_suite.py
imports: from typing import Optional, Dict, Union, List
  from xai.data.abstract_stats import AbstractStats
  from xai.data.constants import DATATYPE
  from xai.data.exceptions import AttributeNotFound, InconsistentSize, AnalyzerDataTypeNotSupported
  from xai.data.exceptions import InvalidTypeError
  from xai.data.explorer.categorical.labelled_categorical_analyzer import LabelledCategoricalDataAnalyzer
  from xai.data.explorer.datetime.labelled_datetime_analyzer import LabelledDatetimeDataAnalyzer
  from xai.data.explorer.numerical.labelled_numerical_analyzer import LabelledNumericalDataAnalyzer
  from xai.data.explorer.sequence_analyzer import SequenceAnalyzer
  from xai.data.explorer.text.labelled_text_analyzer import LabelledTextDataAnalyzer
label_desc: Use image node_id 4 for calling the DataAnalyzerSuite obj's underlying member method code with example usage: obj.get_statistics() and returns: overall_stats