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Ermira Zifla
In-Class Exercise 9.2: Connecting Diverse Data
Here is the exercise.
And here are the workbooks [2012 Presidential Election Results by District.xlsx and Portrait 113th Congress.xlsx]
Weekly Question #7: Complete by March 22, 2017
Leave your response as a comment on this post by the beginning of class on March 22, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!
Here is the question:
Give an example of a KPI – some sort of metric for performance – that you use on a regular basis? Briefly discuss how it conforms to the SMART criteria.
(For example, my car tells me its average gas mileage. This is specific and measurable – gas mileage is a precise measure. It is achievable – I can alter my driving to try to get better mileage. It’s relevant – gas mileage has an impact on my costs! And it’s time-variant, I can look at gas mileage over a week, or a day, or a month.)
Reading Quiz #7: Complete by March 20, 2017
Some quick instructions:
- You must complete the quiz by the start of class on March 20, 2017.
- When you click on the link, you may see a Google sign in screen. Use your AccessNet ID and password to sign in. It will then take you to the quiz.
If it says you don’t have access, make sure you’re signed out of your regular Gmail (non-TUMail) account! - You can only do the quiz once. If you submit multiple times, I’ll only use the first (oldest) one.
- This is “open book” – you can use the articles to answer the questions – but do not get help from anyone else.
Ready? Take the quiz by clicking this link.
In-Class Exercise 8.3: Visualizing KPIs
Here is the exercise.
And here is the spreadsheet to complete the exercise [In-Class Exercise 8.2 – OnTime Airline Stats [Jan 2014].xlsx].
In-Class Exercise 8.2: Identifying Key Performance Indicators
Here is the exercise.
How is the semester going? Fill out the mid-semester survey
Hi all,
Please complete the mid-semester survey to let me know how the semester is going. Your answers will help me make this course more interesting and informative!
In-Class Exercise 7.3: Finding Bad Data in Excel
Here is the exercise.
And here is the dataset you’ll need [Vandelay Orders by Zipcode.xlsx].
Weekly Question #6: Complete by March 8, 2017
Leave your response as a comment on this post by the beginning of class on March 8, 2017. Remember, it only needs to be three or four sentences. For these weekly questions, I’m mainly interested in your opinions, not so much particular “facts” from the class!
Answer one of these:
We spent a little time in class discussing the article Stupid Data Corruption Tricks.
- Have you ever made one of the mistakes listed in the article? Describe what happened.
- If you haven’t made one of those mistakes, which one of them do you think is the most important to avoid?
Assignment 3: Cleaning a Data Set
Here are the instructions (in Word) (and as a PDF). Make sure you read them carefully! This is an assignment that should be done individually.
And here is the data file you’ll need: VandelayOrders(Jan).xlsx.
When your assignment is complete, please send your files as an attachment to MIS_085.277vkuok275ml5fh@u.box.com from your Temple email account. Make sure that your files contain your last name in the file name. If your email upload is successful, you will receive a confirmation receipt via email from the Temple OwlBox system. SAVE THIS RECEIPT! It is your proof that your submission was submitted, the name of the document, and the time/date of submission.
If you don’t receive a confirmation email, it likely means your submission was not successful. Try again, and contact me if you’re having recurrent issues.
Your assignment must be submitted by 8:59am, March 20, 2017 to be on time. You can always check the Syllabus for Assignment due dates. Remember, and this is also in the Syllabus:
“Late Deliverable Policy
A deliverable (assignment, weekly question response, or online quiz) is considered late if it is submitted after the beginning of class. No late deliverables will be accepted without penalty, and equipment failure is not an acceptable reason for turning in a deliverable late.
All assignments will be assessed a 20% penalty (subtracted from that assignment’s score) each day they are late. No credit will be given for assignments turned in more than three days past the due date. However, you must submit all assignments, even if no credit is given. If you skip an assignment, an additional 10 points will be subtracted from your final grade in the course. For example, if you do not turn in an assignment worth 5% of the course grade, you will receive no credit for that assignment plus a 10 point penalty, reducing your maximum grade in the course to an 85.”
In-Class Exercise 7.2: How Data Gets Dirty
Here is the exercise.