input: Write a python function to classify data into 'low' and 'high' clusters based on the mean value.
  assert classify_data([1, 2, 3, 4, 5, 6]) == {'low': [1, 2, 3], 'high': [4, 5, 6]}
  assert classify_data([10, 20, 30, 40, 50]) == {'low': [10, 20, 30], 'high': [40, 50]}
  assert classify_data([5, 7, 9, 8, 6, 4, 3]) == {'low': [5, 4, 3], 'high': [7, 9, 8, 6]}
output: def classify_data(data):
      mean_val = sum(data) / len(data)
      clusters = {'low': [], 'high': []}
      for num in data:
          if num <= mean_val:
              clusters['low'].append(num)
          else:
              clusters['high'].append(num)
      return clusters