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In accordance with our previous observation, we shall plot the demand counts for each of the transformed work hours which includes working and non-working hours.
Task: Complete the statement to plot detrended count and the xformWorkHr.
Hint
fig = plt.figure(figsize=(8, 6))
fig.clf()
ax = fig.gca()
bikesData.plot(kind='scatter', x = 'xformWorkHr', y = 'cntDeTrended', alpha = 0.5)
plt.show()
*Observation: *
Clearly there is a different trend observed for working hours (0-23) and non-working hours (24-47). The pattern of demand is fairly complex.
There are two humps corresponding to peak commute times in the working hours. One fairly smooth hump characterizes nonworking hour demand.
* Action: *
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