Initial exploration of the data

You are presented with data from the Occupational Employment Statistics (OES) program which produces employment and wage estimates annually. This data contains the yearly average income from 2001 to 2016 for 22 occupation groups. You would like to use this data to identify clusters of occupations that maintained similar income trends.

The data is stored in your environment as the data.matrix oes.

Before you begin to cluster this data you should determine whether any pre-processing steps (such as scaling and imputation) are necessary.

Leverage the functions head() and summary() to explore the oes data in order to determine which of the pre-processing steps below are necessary:

Possible answers

NA values exist in the data, hence the values must be imputed or the observations with NAs excluded.

The variables within this data are not comparable to one another and should be scaled.

Categorical variables exist within this data and should be appropriately dummified.

All three pre-processing steps above are necessary for this data.

None of these pre-processing steps are necessary for this data.

Exercise

Initial exploration of the data

Instructions

Possible answers