Lingjie Wang

Chakeria & Cheng:

I think they did a great job explaining the whole process of they work as they clearly followed the CUT-DDV structure. Step by step they showed us the backgound information of what they want to analyze, and focused on one precise purpose of presenting match-up comparisons between the big four teams. I think it particularly helpful that they decided to present the scope of project first, then presented the proposals they considered to use, explained the weakness of these drafts, and after all these, they gave the final version of proposal which they thought to best express the information. This way of presenting effectively helped me understand their thought step by step.

As for the visualization, the colors they applied was harmonious, and using logos to represent each team is truly a good idea. And I think the second proposal is not that confusing, as in the 6 graphs, each team is represented by one single color, which might make the graph more readable.

As I’m quite unfamiliar with the matches, I’m a little confused about the wins/losses of each pair of teams, since it seems that only one team’s data is shown in one year. Is the y-axis the net number of wins/losses? I’m not sure if I understand it.

Generally, Chakeria and Cheng did a great job and I like the way they choose to present both the game data and how they achieved their goals.

Melissa:

The first thing I want to say is that I think Melissa efficiently applied Tableau to her work. Although these visualizations look simple, they do require careful arrangements of different variables’ locations – in rows, in columns or as filters inside. Especially in the visualization for wins/score of each team, she successfully showed the data involving three variables: year, teams and scores, in bar charts, which is a great example of filtering.

Also, for the visualizations, she basically used line graphs and bar graphs, which are simple yet efficient in comparing the score data of UNC and Duke Basketball teams. I think she also did great in choosing the color that represent each team. Just for the line graph of “Total Wins/Losses over History”, it is a little difficult to clearly recognize each team and read the data when the two lines overlap. I’m not sure if there’s a better way of showing the data of two teams in one graph, as I’ve also tried other tools, but they seem to be more confusing.

Generally, Melissa presented the information related to the two teams in a quite efficient way. I’ve learned a lot from her work and I really appreciate that.

I have neither given nor received aid while working on this assignment. I have completed the graded portion BEFORE looking at anyone else's work on this assignment. Lingjie Wang