Class Presentations

The basics of map projections

After the 2020 Decennial Census, the state legislature of North Carolina proposed new districts for both chambers, the state House and the state Senate. Unsurprisingly, those maps were both rejected by the state Supreme Court – twice each, in fact. Ultimately, the court had a third party draw maps and ordered the state to use

According to our course calendar, our first project is due on October 20. I guess we should set up some parameters around that. The material Obviously, we’ve spent a fair amount of time talking about elections and gerrymandering and that’s where your project will be centered. Specifically, we’ll decide on a state for each of

Think of the partitioned rectangle below as a simple map. Each square represents the home of a single voter. Each voter is a member of one of two parties, the red party or the blue party. There are The objective is to partition these voters into 5 districts of 10 voters each. Each district should

We’re going to spend some time over the next few weeks talking about elections here in the US – a topic of tremendous and current importance. There are a number of things that we might talk about but I’m certainly planning to cover the following topics: Illustrations Here are some of the kinds of images

Today, you’re going to set up and embed your own weekly schedule. Here’s mine: To see how to do it, head on over to [this Discourse topic](https://discourse.marksmath.org/t/setting-up-and-embedding-your-schedule/30)!

Today, we’re going to log on to Observable, write a little something, and play with its point and click chart interface for chart generation. Since that’s where all the action is, I’m just going point you there! Note that you’ll need to be logged onto your class Observable account to access the link.

Maps are built on data – cartographic data and cartography is one of the most fundamental skills for data visualization. Today, we’re going to learn one of the most basic ways to present a map in a web page – namely, via embedding from a widely used map server. There are just a few examples

UNCA’s class schedules are posted every semester. They go back to Fall of 2006 and you can download each semester’s schedule in CSV format. Thus, they’re a pretty nice source of example data that we can build a few nice visualizations on. Tabular data I suppose the driest way we might look at the data