You'll create two DIFFERENT visualizations of the SAME information or data. One of these two visualizations must be generated using software of some kind. The other one can be in any medium you choose (digital or otherwise).
For people whose visualizations are static, you will just submit a single PDF. If a PDF isn't suitable, e.g., if your data viz has animation or interactivity, feel free to submit multiple files or links to online content as appropriate.
As usual, your submission will include a paragraph of eloquent & insightful reflection. Because the two visualizations are based on the same data, we recommend that your reflection in some way address the differences between them. However these reflections remain largely free of formal constraints; this recent Piazza discussion might be helpful in thinking about the wide range of possibilities.
It's totally fine either to collect information from your own life, as Giorgia Lupi describes in our assigned reading, or to use some existing information out in the world (as long as you credit the source!) There's data everywhere: scholarly literature, articles, reports, etc. The NZ government also provides access to loads of data from the census etc. in a couple different places:
In practice, out in the professional world, a lot of basic, sort-of boring data visualizations (especially pie-or-bar charts) are made using Microsoft Excel or PowerPoint. If you feel strongly that those are the best tools to do what you want to do, then it's *ok* to use them, but I would encourage you to explore other tools too. Here are a couple of user-friendly, in-browser online options:
We'll demo how to use these tools a bit in lecture and even more in lab, and there are lots of tutorials and instructions available online.
Again, only one of your two visualizations must be made using software tools. The second visualization CAN be made using these tools, or you might instead follow Giorgia Lupi's example and draw it by hand, or use any other media — for inspiration, check out these different attempts to use PHOTOGRAPHY and SCULPTURE in data visualizations!
Excited to *see* what you create!!
PS - If you're looking to study data viz more deeply, FYI: here's the reading list for a course in the business school, INFOMGMT 392: Data Visualisation.