Complete the function below. It will take a a list of values and a partitioning method and applies the method on the list. It will return a list of list.

• Parameters:
  • a list of values
  • a partitioning method: equal-frequency ('ef') or equal-width ('ew')
  • number of values in each bin for equal-frequency method
  • number of bins for equal-width method
• a partitioned list of list.
• def partitioning(input_list, method='ef', bin_frequency=5, bin_count=5):
  input_list.sort()
  output_list = []
  # Equal-frequency partitioning
  if method == 'ef':
  # Write your code here
  pass
  # Equal-width partitioning
  if method == 'ew':
  # Write your code here
  pass
  return output_list
• here is the data set that i have:

  fat	age
  32.1	21
  32.3	22
  36.6	22
  11.9	24
  12.9	24
  37.3	24
  31.9	25
  30.7	26
  12.5	26
  31	26
  26.2	27
  14.9	27
  18.7	27
  32.4	27
  22.2	27
  9.3	28
  37.8	28
  25.3	29
  24.4	29
  15.4	29
  35.5	29
  17.7	30
  26.9	31
  27	31
  20.3	31
  14.7	32
  10.5	32
  43.7	32
  6.2	32
  25.2	33
  15.4	35
  25.2	35
  8.1	35
  20.6	35
  17.4	36
  21.7	37
  28.5	37
  42.2	37
  37.1	38
  40.1	38
  11.5	38
  28.2	39
  15.6	40
  34.5	40
  30.5	40
  24.4	40
  33.5	40
  16.6	41
  35.6	42
  14.2	42
  23.8	43
  32	43
  41.9	43
  24.6	44
  29.6	44
  8.1	44
  6.5	44
  35.5	44
  28.6	45
  15.2	45
  9.5	46
  12.9	46
  41	46
  15.3	47
  16.4	47
  31.5	47
  17.1	47
  29.3	47
  9.7	47
  17.7	48
  6.5	48
  30.3	48
  14	49
  31.7	49
  21.9	50
  37.6	51
  33.5	51
  41.2	51
  28.8	51
  20.5	52
  42.2	52
  12.3	53
  38.6	53
  10.5	54
  43.7	54
  13.8	54
  19.7	54
  39.4	55
  10.3	55
  11.6	56
  14.2	56
  44.5	56
  32.3	57
  33	57
  30.4	57
  20.1	57
  34.3	57
  32.8	57
  43.2	58
  6.6	59
  36.4	59
  42.3	61
  8.5	61
  44.5	61
  12.4	61
  41	62
  9.3	62
  20.8	62
  15.4	62
  14.1	63
  39.7	63
  18.2	63
  25.2	63
  34.9	64
  8.2	65
  18.5	65
  6.5	65
  23.4	65
  38.7	65
  9.2	65