code: def update(self, data):
      super().update(data)
      if len(self.shape) != 2:
          return
      if data.dtype != tf.string:
          data = tf.strings.as_string(data)
      data = data.numpy()
      # Calculate the statistics.
      for instance in data:
          self._update_instance(instance)
  
imports: import numpy
  import tensorflow
  from autokeras.engine import analyser
label_desc: Use image node_id 2 for calling the StructuredDataAnalyser obj's underlying member method code with example usage: obj.update(data) without return types