Sentry Page Protection
Coding Project I (2 hours)
Background
The practice of pharmacists is heavily regulated in Ontario.
Each year, independent inspection is performed on each of the pharmacists to ensure full compliance to the pharmacists standard.
There are 4 levels of inspection and 5 conclusions that can be made from each inspection.
Levels
Conclusions
For more details about the inspection, visit the link below:
http://www.ocpinfo.com/protecting-the-public/inspections/
Task I: Reading in the data
You are given 4 data sets that contain the information about:
Download the four data sets and read them into your SAS Studio.
Background
The practice of pharmacists is heavily regulated in Ontario.
Each year, independent inspection is performed on each of the pharmacists to ensure full compliance to the pharmacists standard.
There are 4 levels of inspection and 5 conclusions that can be made from each inspection.
Levels
- Level 0
Opening inspection - Level I
Call back, regular practice review, acquisition or relocation - Level II
Re-inspection ordered by inspector
- Level III (and above)
Inspections ordered by the Accreditation Committee
Conclusions
- Satisfactory
Inspection concluded - Issues identified
Action plan required, inspection not concluded - Re-inspection ordered
Action plan required, inspection not concluded - Referral to Accreditation Committee
Action plan required, Committee decision - Report to Accreditation Committee
Action plan required, Committee decision
For more details about the inspection, visit the link below:
http://www.ocpinfo.com/protecting-the-public/inspections/
Task I: Reading in the data
You are given 4 data sets that contain the information about:
- The pharmacists being inspected
- The date of inspection
- The level of inspection and
- The inspection conclusions.
Download the four data sets and read them into your SAS Studio.
|
|
|
| ||||||||
Alternatively, download and copy the code from the text file below and run it on SAS Studio.
| data_manipulation_creation_1.txt |
Note: the code is fairly long and the code does take more than a few seconds to run.
Ensure you have the four data sets below in your SAS Studio:
(Yes, they are fairly large)
Ensure you have the four data sets below in your SAS Studio:
- NY
- TO
- SC
- RH
(Yes, they are fairly large)