Running Head: MILESTONE THREE DAT 220 Fundamentals of Data Mining: Milestone Three Johnathan James April 13, 2019
Running Head: MILESTONE THREE Milestone Three Analysis Organization Used to segment the customer population into distinct groups with similar attributes was cluster analysis; which utilized the following attributes: age, spend rate, martial-status, and income. Doing so allows for creation of ad campaigns however, by using only one variable (for customers) segments customers. Realizing this, I would use analysis techniques which use more than one variable. Sources of Error Some sources of error were those instances when customers value for web spending did not correlate with customer value for web purchase. To correct this, I chose to remove the data from the set. There was also incorrect data with the JMP data set. Yes No data was set at ordinal data, limiting the data usability. By changing the column modeling type to nominal, I was able to correct the issue.
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- Fall '19