Dataset Summary

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• 2000 Customer records: age, credit in store, email (yes or no), distance to store

• Online and In-store sales data

• Satisfaction survey response: to service and products

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Content

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1. Visualize associations between variables with scatterplots and histograms.

2. Measure associations using covariance.

3. Non-normal distributed data transformation.

4. Correlation coefficient for ordinal responses.

5. Fit with linear model. 

6. Check for collinearity between variables.

7. Remediate collinearity with vif as measurement.   

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Tools

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R + Rstudio

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Library

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library(gridExtra)

library(ggplot2)

library(car)

library(gpairs)

library(corrplot)

library(gplots)

library(psych)

library(plotly)