1. Suppose that the data for analysis includes the attribute age. The age values for the data tuples are (in increasing order) 13, 13, 16, 18, 18, 20, 20, 20, 21, 21, 22, 25, 26, 30, 32, 33, 33, 33, 36, 36, 36, 37, 47, 47, 49, 61, 100. Use smoothing by bin means to smooth the data above with an equal bin depth of 3. Illustrate your steps. Comment on the effect of this technique for the given data.
Step 1: Sort the data. (Here data is already sorted.)
Step 2: Partition data into equal depth bins of depth 3.
Step 3: Calculate arithmetic mean of each bin.
Step 4: Replace each of the values in each bin by the arithmetic mean calculated for the bin.
Effects:-
1. To remove noisy data from given attribute.
2. To reduce the effects of error in given data.
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