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MBA, Ph.D in Management
Harvard university
Feb-1997 - Aug-2003
Professor
Strayer University
Jan-2007 - Present
Hi,
I need to submit this project code in sas. Please tell me when can i get the code and how much will it cost me?
Thanks&Regards,
Supriya Jadhav
INFS 762 ProjectDue: 10/18/2016You can work on this project in a group of two people.Case descriptionA supermarket is offering a new line of organic products. The supermarket's managementwants to determine which customers are likely to purchase these products.The supermarket has a customer loyalty program. As an initial buyer incentive plan, thesupermarket provided coupons for the organic products to all of the loyalty programparticipants and collected data that includes whether these customers purchased any of theorganic products.The ORGANICS data set contains 13 variables and over 22,000 observations.Step 1.You need to download the dataset “organics.csv” and import it to SAS.The variables in the data set are shown below with the appropriate roles and levels:Now you want to remove two variables “DemCluster” and “TargetAmount”. The id of acustomer shouldn’t be considered in data mining; however you don’t need to remove it. Inthe table below, the measurement level “nominal” means that the variable is categorical,and “Interval” means the variable is continuous. The target or dependent variable is“targetBuy”.VariableTypeModel roleDescriptonIDNominalIDCus±omer loyal±y IDDemAfIn±ervalInpu±Afuence grade on a scale From1 ±o 30DemAgeIn±ervalInpu±AgeDemClus±erNominalRejec±edType oF residentalneighborhoodDemClus±erGroupNominalInpu±Neighborhood groupDemGenderNominalInpu±M, ², UDemRegNominalInpu±Geo regionDemTVRegNominalInpu±TV regionPromClassNominalInpu±Loyal±y s±a±us, tn, silver, gold orplatnumPromSpendIn±ervalInpu±To±al amoun± spen±PromTimeIn±ervalInpu±Time as a memberTarge±BuyBinaryTarge±Organics purchased? 1 = yes 0 =noTarge±Am±In±ervalRejec±edNumber oF organic produc±spurchasedSTEP 2:You to do a quality check. In this dataset, we do not have false/unreasonablevalues. You need to tell me: 1) which variables have a skewed distribution, and 2) whichvariables have missing values.
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