Hi Team,

Can you please help me in resolving this query as soon as possible as I have to submit it before 20th January.

Thanks in advance!

Question-

a) Explain figures 2.5 (noise in time) and 2.6 (noise in space)

b) and discuss the following:

# How can you tell if the data is an outlier or if it is something important?

# Which data is the noise and how is the noise different from outliers?

c) When there are missing values, explain the pros and cons of the following strategies:

# Elimination of Data Objects

# Estimation of Missing Values

d) What are the limitations of analyzing real data with missing values and why is it impossible to really know such data?

(a) Time series. (b) Time series with noise. Figure 2.5. Noise in a time series context. (a) Three groups of points. (b) With noise points ( + ) added. Figure 2.6. Noise in a spatial context