Data discovery

For your coding exercises you will use the theory that you just saw and apply it to a new dataset. This dataset is about bank customers and will be used to predict if customers will default on their loan payments.

There are very helpful functions in R to get an overview of the dataset at hand. For now you will only look at summary() and str().

Necessary packages are loaded and the dataset defaultData is already present in your working environment.

This exercise is part of the course

Machine Learning for Marketing Analytics in R

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Exercise instructions

Use summary() and str() to look at your data.
Also make sure to get some more insights about the variable of interest PaymentDefault by plotting a bar chart of the two levels.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Summary of data
___(defaultData)

# Look at data structure
___(defaultData)

# Analyze the balancedness of dependent variable
ggplot(___,aes(x = ___)) +
  geom_histogram(stat = "count")

Edit and Run Code