In my own words, this project is, obviously, about weather -- but it's about something much more than that. It's also about making large amounts of data readable, which in turn will allow viewers to understand the content. The goal of this project is to animate trends in different types of climate data, in order to ditch the bar charts and other graphs for something more readable. The tasks given to me by my professors for this project can be found below.

To start off with, my plan is to take a look at the data that I've obtained, and figure out how I'm going to store it in my program. My plan right now is to use a few structs -- I have something currently implemented, but I'm waiting to see how it holds up against larger amounts of data. Then, from there, it's all about the calculations and figuring out what sort of things to calculate. Right now, I'm thinking about averages, mins, and maxes, but again, we'll see how it goes.

• Research climate data and file formats.
• Prepare data.
• Use visual attributes to describe the data's characteristics.
• Illustrate the data for a calendar year.
• Illustrate the data for the same month or day over a period of years.