Exercise

Cost versus urgency

The dataset vacancies_impact we just created contains the total_cost and cost_impact for each case, but it also contains a data attribute urgency, which indicates whether the vacancy is urgent (urgency == 10) or not (urgency == 1). Use dplyr's case_when() to create the variable cost_profile, which indicates whether costs where incurred appropriately:

Disproportionate if cost_impact == High and urgency less than 7
Excessive if cost_impact == Medium, and urgency less than 5
Lacking if cost_impact == Low and urgency is greater than 6
Appropriate otherwise

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Create the variable cost_profile according to the rules given above. Store the results in vacancies_profile.