Question 2 Select any dataset that contains at least 500 observations with at least 8 attributes from https://archive.ic
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Question 2 Select any dataset that contains at least 500 observations with at least 8 attributes from https://archive.ic
Question 2 Select any dataset that contains at least 500 observations with at least 8 attributes from https://archive.ics.uci.edu or https://www.kaggle.com or any other online free data repository. Perform detailed analyses on the selected data by using ONE (1) dimension reduction method of your choice and explain why you choose the method. While performing the dimension reduction please clearly highlight all the steps and assumptions required to apply the method. From the results obtained please highlight the significant contribution in term of dimension that has been reduced and the information that has been retained. NOTES: The link and the description of the selected dataset should be provided, and the dataset should NOT have been used in the lectures or labs of the course. Describe data set information such as number of instances/ features/ attributes/ columns, number of dataset/rows, area/domain/ field, and/or missing value(s) if any. Any preprocessing method (e.g. removal or filling of empty cells) performed on the original data needs to be fully described and shown. Your analyses shall include the descriptions of your Python codes and plots. [50 marks]