Due August 30 | CS 7450 - Information Visualization | Fall 2018 |
What you turn in should consist of four things. First, list (bullet list of items) four analytics queries or questions that a person may have about this data set. These would be questions that an analyst examining the data might be pondering. Try not to make these simple questions that can be answered by looking up a single value in the data. Second, list (bullet list of items) four "insights", chunks of knowledge, that you either encountered or gained while exploring the data. An insight could be some understanding of the data and its characteristics that is not relatively obvious or intuitive. It is something that most people might not realize initially. Third, write one paragraph about the process you used to do the exploration and analysis. Did you load the data into Excel, work manually, or do both? What did you do in Excel? Did you draw pictures? Just tell me (briefly) what you did. Fourth, write one paragraph about challenges or problems that you encountered in doing the analysis this way. Did anything limit or frustrate you? If nothing did, perhaps there was something that was more difficult than you thought it should be. Nothing is perfect, so you should be able to list some potential issues here. So, to sum up, your assignment should have two bullet lists of four items each, followed by two paragraphs. IMPORTANT: Turn in a pdf of your HW through Canvas. It is due at the start of class time.
Grading: We will evaluate the quality of the questions and insights you listed. We are looking for things that we find interesting or perhaps unexpected. This is subjective. For the third and fourth parts, we will evaluate if you did what the assignment asked.
Cereals data (xls format)
The data set should be pretty self-explanatory. The Manufacturer is a
one letter code with the expected mapping (Q-Quaker Oats, P-Post,
G-General Mills, K-Kelloggs, R-Ralston Purina, N-Nabisco) and Type is
C (cold) or H (hot).