Thanks again everyone for your hard work during the semester. The fourteen final projects are once again proof that Information Visualization is inherently interdisciplinary, and as such a field where I Schoolers can shine.
I posted a page with the links to your visualizations along with your short descriptions.
As a reminder, here are the deliverables for the visualization project, which are all due on May 6th:
As announced earlier in the semester you will have the opportunity to show off your visualization project at the Information Visualization Showcase. The showcase is mandatory for all teams. It will be during regular class time (5-8PM) on May 8. Feel free to invite guests, as the presentations are open for the public.
Since there are 14 projects, we will have to keep an eye on time. You have 10 minutes to present plus 2 minutes for Q&A. Use the time to introduce your project, show iteration artifacts and demo the visualization. If you are using slides, send me a PDF along with your other deliverables.
Please also send me as soon as possible
By now you all are working on first iterations of your semester visualization project. This blog post by Andy Kirk of visualizingdata.com could come in handy as a brief reality check. In it, he explains what makes NY Times infographics what they are–some of the most effective visualizations out there. Almost every point applies directly to your project. Gloss over it and try to see how your visualization can be improved with the 10 points in mind.
I was asked to share the link to Mr. Data Converter when I showed it in class a few weeks back. The tool converts between CSV and JSON (amongst others).
This is a friendly reminder that the final project proposals are due tomorrow, March 20, before class. The proposals should include
My company organized a visualization meetup last week with the title “Introduction to D3”. If you’re interested to learn more about D3, check out the videos on our blog. The first talk was by Joe Golike who comes from a design background. The folks among you who are not proficient coders might enjoy his take on learning D3. After that, Vadim Ogievsky gave a code intro to D3, similar to what I did in last week’s lab, but a little more extensively.
Thanks to the person who sent me the link to the a visualization contest. There’s at least one other visualization contest running. I’m just posting the links here. If you want to get your hands dirty visualizing a dataset outside of the constraints of the class, I’d recommend you take a look at them:
I posted some material to the page for today’s lecture:
Some of you approached me after class asking me for Tableau tutorials. In case you haven’t seen them already, have a look at their training page. (See “On Demand” section)