<aside> ⭐ The interactivity with AnyChart immensely helped me save time with coding! I was really happy with the way the prototype turned out. The next challenge was to finetune the narrative and incorporate interactivity into this project. It kind of felt like I was finally breathing life into this!
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Worth a Thousand Words - Google Chrome 2021-11-01 18-07-08.mp4
Data Visualization Major Studio I Midterm Presentation
Daniel (professor): Clear objective/research question, anticipate this show up as title/subtitle. A typical question and challenge is the decision how to provide context, without necessarily scrolly/storytelling approaches. Did you think about an about page, is it necessary? Interactivity for word tree is very engaging and interesting to immerse oneself into the title/metadata tagging of qualitative/visual assets like photographs. The “subtext” of African-American “categorization” is a worthy exploration that hopefully will be retained moving forward. The man/woman dialectic adds a gender lens on the AA corpus question, leading me immediately to other parts of your research showing objectification and implicit indignity. The gender lens complicates this into interesting ways. Did you try a juxtaposition (tree growing from left to right for woman, tree growing from right to left?) I know this is not as engineered, but the dialectic could help us in a split screen-type setup
Richard (Assistant Professor): Smart approach, getting inspired by the existing curatorial work the museums have already done (the symposium etc). What are the learnings from this project? What would you like the learnings to be, ideally? Just for presentation reasons, it would have been very easy to just show how you want this to work. I.e. show an image on the rollover, just as a still jpg.
Jeremy (classmate): Worth a Thousand Words is such a visually beautiful and interesting project, great job!! I’d love to see this with a larger text dataset and more available keyword (besides for just man/woman).
Juliet (classmate): I appreciate your process and how you worked on showing how to visualize what you wanted to learn more about. The interactions of your word tree is really impressive. Your next steps are really exciting as well, great job Angie
Yann (classmate): I enjoyed learning about the discovery and iterative process - really interesting way of following your thinking process as well as the playful element for the user. The linkages between images and words and imagery is a fascinating inquiry, and I think the immediate image results from the textual query will make the project even more insightful. I’m wondering if you can add flowing lines between the textual section and the image section so that the reader can imagine the back-end query process (and how it flows).
Zora (classmate): I like the consistent thought from the beginning to the end of your project. It will be interesting to see the text in a quantitative way, can be frequency (number of the appearance) or the size of the text.
Molly (classmate): I love where you took this project and the interactivity you anticipated. It gives room for the viewer to explore for themselves and your pivot was a great move from the highlighting to the wordtree.
Shea (classmate): Tree interactions are looking really great - would love to see count for the higher level items?
Omar (classmate): The tree visualization is so effective and engaging! Coupled with some images I think this will be such a great exploratory tool. I do wonder though if a top-down visual would be more web-friendly (since you can scroll through easier).
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