Reference no: EM132395494
Assignment
The dataset used for this assignment is the Wine Recognition Dataset. Remember you must save this file in your directory that SAS can see on your hard drive.
The data are the results of chemical analysis of wines grown in the same region but derived from three different cultivars (plant variety).
The analysis determined the quantities of 13 constituents found in each of the three types of wines.
There are 178 instances in total with 59, 71, and 48 instances in class 1, class 2, and class 3, respectively.
1st attribute in the data is the class identifier (1-3) - see the information for the other attributes.
Instructions:
1. Select randomly two variables and plot the data using different colors/signs to plot the points belonging to three different classes.
o What can you say about the class separability in this space?
2. Select different variables and create scatterplots for the variables you have selected.
o What conclusions can you draw about the relationships between the two variables?
3. Submit with your write-up, screenshots of your steps and the scatterplots.
4. Your write-up must include exact steps you took to complete this assignment.
5. If you had some challenges, please state the issue(s) as well.
Your write-up should meet the following requirements:
Four pages in length
Include the screenshot diagram(s) of the BI solution framework
Formatted according to APA guidelines as explained in APA format (subheadings, one-inch margins, and double spacing)
Attachment:- Wine.rar
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