Explain the basic framework of a data analytics project

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Reference no: EM132351321

What Facts Say About Products

Senior managements want the facts relating to results captured within a specific data set. What are the specific characteristics of the products contained in the data set? What is the trend of each product? What is the most likely outcome of these products in the near future?

Assignment Requirements

Prepare and import the data from one of the "CARS" (SAS, 2014) Library files to create a new data source that you will use to run and evaluate your SAS analytics model. Use the data source that you just created and perform the following descriptive statistics: frequency, mean, and variant. Next, create a decision tree model using your SAS data source. Please open and follow the UsingSAS_for_DescriptiveAndClusterAnalysis.doc for directions on how to interact with SAS. Please answer the questions within the document highlighted in yellow and include the results of your analysis-screen prints and output reports-for review.

For the Unit 4 assignment, you will research and write a short (4-5 pages for the body section) paper in APA (6th edition) style and format, including screen prints, with a minimum of five references, that covers the following topics:

1. Explain the basic framework of a data analytics project using SAS.

2. Demonstrate the basics of using SAS to perform descriptive analytics.

3. Demonstrate the basics of using SAS to perform cluster analysis.

4. Explain the results of your SAS work using descriptive statistics and a decision tree model using SAS.

5. Share your recommendations based off your SAS analytics work.

Attachment:- What Facts Say About Products.rar

Verified Expert

This task provides a clear description on descriptive statistics. Cars data was taken into consideration for this study. Audi cars and BMW cars data was taken and almost 19 and 20 cars from each make was taken for the analysis respectively. four type of cars, namely, SUV, sedan, sports and wagon model were selected for the sample

Reference no: EM132351321

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Reviews

len2351321

8/3/2019 4:32:08 AM

Explain the different data mining methods available with SAS tools. 20% Explains comprehensively the different data mining methods available with SAS tools. Exhibit proficiency in writing, critical thinking, and use of APA 6th edition formatting of references and citations. 10% Exhibits high level of proficiency in writing, critical thinking, and use of APA 6th edition formatting of references and citations.

len2351321

8/3/2019 4:31:49 AM

CRITERIA Explain the results of your SAS work using descriptive statistics and a decision tree model using SAS. 35% DISTINGUISHED Explains comprehensively the results of your SAS work using descriptive statistics and a decision tree model using SAS. Demonstrate how to create an SAS data mining model to perform either association or cluster algorithm techniques. 35% Comprehensively demonstrates how to create a SAS data mining model to perform either association or cluster algorithm techniques.

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