As part of data preparation, treat the missing data, and explain your rationale of the treatments. Question
Question:
As part of data preparation, treat the missing data, and explain your rationale of the treatments.
Question 3
Explain and implement three (3) other data preparation tasks required for further analysis of the data. Any appropriate Python related libraries, functions, methods (e.g. pandas.to_datetime) can be used.
Question 4
Analyze the data and describe three (3) insights into the corporate claims processing of the insurance company, with at least one (1) supporting visualization created to illustrate each insight.
Question 5
Perform linear regression modelling to predict the delay in days (between the Planned and Actual date) in processing the claims, explaining the approach taken, including any further data pre-processing needed for modelling
Question 6
Discuss the results obtained from the modelling and state the linear regression equation.
Kindly include all codes and graph indicated , along with explanation
Management Accounting Information for Decision-Making and Strategy Execution
ISBN: 978-0137024971
6th Edition
Authors: Anthony A. Atkinson, Robert S. Kaplan, Ella Mae Matsumura, S. Mark Young