Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner
3rd Edition
ISBN: 9781118729274
Author: Galit Shmueli, Peter C. Bruce, Nitin R. Patel
Publisher: WILEY

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Tables: 1. Brands (sample csv enclosed) a. Brand ID b. Brand Name c. Holding Company ID d. Holding Company Name 2. Store Order Items (sample csv enclosed) a. Order ID b. User ID c. Product ID d. Brand ID e. Unit Price f. Quantity g. Date (of sale) h. Store ID (of sale) 2. For each Product (ID), determine the “store of sale” that made the first sale of the product in 2019. Written in Sql
Give an example of when you would want to analyze the mean of a dataset.
Write an order to generate binomial data with the number of observations (n) being 50, the number of trials (size) being 5 and the probability of success being 0.5, then storing the results in the binomial data matrix, with the number of columns being 5.

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Data Mining for Business Analytics: Concepts, Techniques, and Applications with XLMiner

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