Exercise 10.2 Background: This exercise helps readers learn to identify specic types of data and choose the appropriate graphical techniques and numerical summary measurescritical components ofmaking analytics-driven recommendations. Objectives: The following dataset represents a small portion of a larger report about patients who visited an urgent care clinic on one day. Identify the type of data found in each column, and identify the numerical summary measures and graphical methods you would use to summarize the data in each column. Admission Blood Visit Pressure Age Gender Time Charges Payment Prior ID (Years) (M / F) Opinion (Min.) (5) Type Visits Systolic Diastolic 1 33.5 M 5 64.2 158.00 Self-Pay 4 136 71 2 21.2 F 2 69.4 159.00 Medicaid 3 112 65 3 56.4 F 1 81.1 178.00 Medicaid o 156 88 4 53.9 M 3 31.6 124.00 Blue 1 125 80 Cross 5 51.2 F 5 48.5 146.00 Aetna 8 133 62 Instructions: You have been recently hired as the quality manager for an urgent care clinic and will spend the next two weeks reviewing all the patient records in this dataset. The information includes the identication number assigned to