If you are supposed to teach about this section of the course, select one of
the assignments, do the assignment and show it to the instructor to make sure
you have done it correctly. Prepare your slides, narrate your slides,
remove excess words from narrated slides, convert narrated slides to a file
format that can be uploaded, upload your file, email everyone in the class
the URL of your file. Make sure that all these tasks are done ahead of
scheduled class session. Your peers will appreciate receiving your advice
on how to solve a class assignment as soon as possible and well before last day
prior to class session.
No individual assignment should be completed in teams. Submit
your work in Blackboard. Do not discuss the work with other
Question 1: Calculate various queries using the data
Identify patients that have diabetes in the above database.
Calculate the average cost of each diagnosis sorted from most expensive
to least expensive. Exclude all bills with negative or 0 values.
Show if men are more likely to have diabetes than women.
Calculate which month is most likely to have a diagnosis reported.
Question 2: Download the attached file of ICD9 codes and descriptions and find the seven
errors in the data, where the same ICD9 code has been assigned different
Question 3: Using the data you imported in previous week,
count how many patients continue to visit despite having been reported to be
Question 4: Using the data you imported last week, use GROUP
BY and COUNT to report how many patients have same diagnosis occurring at same
age, essentially having a duplicate entry in the database.
Each week you will be complete a team assignment. Each week you are to work with
a classmate that you have not previously worked with, so that by the end of this
course, you will have completed team, assignments with 8 different partners.
Work in teams of 2 persons, not 3 and not 1.
Upon submission, indicate the name of your team member.
Each member of the team should submit a separate assignment.
No copying of code from each other but feel free to learn from each other. The data reported must be the same. Come to an agreement on the findings
and help each other to arrive to the same findings.
If team assignments are completed with individual effort, then the student loses 10% of the grade.
Download data in zipped files.
Merge the files.
For password contact your instructor.
Do not share the data file. By opening this file you agree not to share the file with anyone.
Unzip the files, first to get to the directory and then to get to the actual file.
Import data into Microsoft SQL server.
To create the database, open SQL server and right click on the database and start a new database. Select "Tasks," select "Import Data," select "Flat
File Source" as the source of the data, change file type to "CSV Files,"
browse to where you unzipped the files, indicate that field names are in the
first row, select as destination "SQL Server Native Client" file type.
Remove blanks from numeric data, such as DxAtAge.
Convert text data in the AgeAtDeath to float. This is typically done through if statements such as these:
IIF(DxAtAge >0, DxAtAge, Null)
IIF(AgeAtDeath="Null", Null, cast(AgeAtDeath AS Float))
Identify individuals whose date of death or birth might be in error and have visits post date of death or prior to birth. Exclude them.
Remove diagnoses occurring more than once for the same patient at same age
Remove patient ids that are null or start with Z.
Remove diagnoses for patients whose age of diagnosis is null
Remove diagnoses that occur before patient is 21 years old or when
patient is more than 99 years old
Rank order diagnosis in order of their reoccurrence for the same person. Assign ranks for diagnoses that occur for the same person once, twice,
three times, four times, or more than 5 times. Remove diagnoses that
re-occur more than 5 times.
Order the data by patient ID and diagnosis and rank of diagnosis
To complete this team assignment, upload the first 4 lines of the merged clean data into a word
file to Blackboard. Both team members must mention each other in the uploaded
document. The 4 lines of data results for both team members should be the same,
work together until you achieve the same results. The SQL code could be
different. Each student will upload their files by Sunday, 11:55 PM, EST.