BUAN304Handsonmod4
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Embry-Riddle Aeronautical University *
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304
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English
Date
Dec 6, 2023
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docx
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Uploaded by ProfHornetPerson330
BUAN 304 Hands on Activity Module 4
Embry-Riddle Aeronautical University
April 12, 2023
Figure 1. Step 1
In this step we were asked to select which variables we feel will be important to
answering our business question. We selected willDefualt as a variable and used is to find other
variables that maybe useful. The graph in figure one shows a relative importance graph which is
any data that might be useful for us to draw our conclusion on. You can see from the graph that
ORGIN_RT and CSCORE_B are the top two variables.
Figure 2. Step 2
In step two the goal was to get rid of any columns that might have incorrect data. These
are things like negative numbers, so we selected to variables HousePriceYoY and
CommercialRealEstateYoY. These are two that you don’t want negative values in so we set them
to 0 so the unusable values would be gone.
Figure 3. Step 3
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The purpose of imputing data is to create more valuable data. You use information that
you have to substitute for missing data this allows you to create value. This value creates a better
data set to analyze and draw conclusions from.
Figure 4. Variable Selection
The data we have prepared is better for analyzing because it pulls out any information that is not
going to help us make an informed decision. It has also replaced missing values to create more
value. We have gotten rid of any negative data that will take away from the value due to it being
unusable. This roles out any outliers that can cause obscurities in the data.