Instructions: In Unit 6, appropriately partition the data set into income data, family structure, and retirement benefits. Experiment with various clustering methods and propose a final model for identifying counties/cities with a high level of accredited investors (investor). Also, suggest the investment products that should be offered to investors based on data. Your submission should be at least 3 pages in length. For this project, imagine you are a new hire at a wealth management firm and tasked with determining the location of a brick-and-mortar office within Connecticut. Please use the data set attached in the Unit to complete this assignment. Your analysis must include: 1. Determine where accredited investors are located. 2. Analyze the structure of the investor household. 3. Analyze the retirement income mix of the investor. 4. Suggestion of an office location (zip code not county). 5. Suggestion of wealth management offerings. Case Problem- Investment Banking: Play the role of Wealth Management Analyst and construct a regression model of Connecticut counties (through zip code) that are likely to have accredited investors. Please use the data set attached in the Unit to complete this assignment. Project Assumptions: Accredited investor sample statistics are the same as zip code (population) statistics for family structure and retirement income. All INCOME and BENEFITS columns are individual income.