Task: Complete the statements to plot the scatter matrix for these columns: ['temp', 'hum', 'windspeed', 'hr', 'xformHr', 'cntDeTrended']
Hint
columnToPlotScatter = ['temp','hum','windspeed','hr','xformHr','cntDeTrended']
from pandas.plotting import scatter_matrix
scatter_matrix(bikesData[columnToPlotScatter], figsize=(12,8))
plt.show()
*Observations: *
There seems to be a clear trend of generally-decreasing bike demand with increased humidity. However, at the low end of humidity, the data is sparse and the trend is less certain. We will need to proceed with care.
Also, the scatter plot shows some relation between bike demands versus temperature. However, the complex behavior exhibited is a warning that we may have trouble modeling this feature.
*Action: *
Validating our previous observation, 'temp' can be a good feature to train the data.
'hum' can also be explored.
'windspeed' can be comfortably ignored while training the data.
Taking you to the next exercise in seconds...
Want to create exercises like this yourself? Click here.
No hints are availble for this assesment
Answer is not availble for this assesment
Note - Having trouble with the assessment engine? Follow the steps listed here
Loading comments...