1- Using income tax (income_byzip_pct) data and the following criteria to create ten (10) clusters of zip codes for Virginia and identify clusters where “Kebab Shop” can open a new storePct of income in each category and hierarchical clustering methodologyPct of income in each categoryand k-meansclustering methodology2-Using the Excel file (“HW02_conjoint_data.csv”) perform the following analysis.Tradeoff between price andmemoryMarket share forecast for each brandAttribute importance.3- Using HW03_Conjoin _student.sas, rate the chocolates in the file and perform conjoint analysis.(Tradeoff, Market share, Attribute importance)
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1- Using income tax (income_byzip_pct) data and the following criteria to create
ten (10) clusters of zip codes for Virginia and identify clusters where “Kebab
Shop” can open a new store
• Pct of income in each category and hierarchical clustering methodology
• Pct of income in each category and k-means clustering methodology
2-Using the Excel file (“HW02_conjoint_data.csv”) perform the following analysis.
1. Tradeoff between price and memory
2. Market share forecast for each brand
3. Attribute importance.
3- Using HW03_Conjoin _student.sas, rate the chocolates in the file and perform
conjoint analysis.
(Tradeoff, Market share, Attribute importance)

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