Chart Lab: Patient Number Comparisons

(Clear Page Focus) The purpose of this page is meant to compare the amoutn of patients depending on their Admission Types, Blood Types, and Medications. I am trying to identify which set of age groups uses or is part of something more than the other, lookign at basic comparisons.

Patient Admission Data

Admission Type Average Age Lowest Age Highest Age Number of Patients
Elective 51.433 18 85 873
Emergency 52.5074 18 85 877
Urgent 52.6608 18 85 858

Analysis/Argument/Knowledge:
Based on the Patient Admission Data CHART, you can make the arguement/analysis that for those admitted in Elective, there is less than patients admitted into Emergency and Urgent.

Blood Type Patient Data

Blood Type Average Age Lowest Age Highest Age Number of Patients
A+ 53.1424 18 85 344
A- 51.4125 18 85 320
AB+ 51.1487 18 85 316
AB- 53.9564 18 85 344
B+ 51.5047 18 85 319
B- 51.6994 18 85 316
O+ 52.468 18 85 344
O- 52 18 85 305

Analysis/Argument/Knowledge:
Based on the chart, you can see that there is an equal amount of patients across the board on all Blood Types. While of course there are small value differences on the table, in the chart the averag eis spread across evenly. So in conclusion you can make the arguement that there is an equal set of patients per blood type in among the data set no matter the condition or anythign else.

Medication Type Data

Medication Average Age Lowest Age Highest Age Number of Patients
Aspirin 54.3006 18 85 509
Ibuprofen 51.1892 18 85 555
Lipitor 53.5234 18 85 512
Paracetamol 51.1642 18 85 481
Penicillin 50.9437 18 85 551

Analysis/Argument/Knowledge:
Based on the chart, you can make the arguement/analysis that there is an equal amount of patients for those receiving Penicillin AND Ibuprofen. There is a relatively less amount of patients who are treated/given Paracetamol, Lipitor, and Aspirin.