Part I: Describe the data set 20% Just like any analytics project, the first step is always about getting an understanding of the data set. Use appropriate tools and techniques, present your findings. Part II: Perform cluster analysis to Classify people into different categories 30% The next step of analysis is to answer the question whether we can classify people into different categories. All these people differ in a variety of ways: education, marital status... but are they that different? Select variables and perform a cluster analysis to classify people into different categories. Present your model. You may attach a screen copy of your model. Present and interpret the obtained results. Since this may be an iterative process, justify how you refine your model. Note that this analysis does not require you to predict people's income. Part III: Use logistics regression to predict who will make more than 50K (1 year 30% In this step you need to use logistics regression to develop a model so that you can predict who will make more than 50K a year. Report your model and results. Comment on how well your model performed