What we worked on!

Introductions and check-ins!

We had Raman Prasad, our resident expert on python, mapping, and many other things, volunteer to provide a helping hand in setting everything up! He’s been asked to give us a Python back-end to interface with the DataVerse API.

Each person in the team made a short presentation on what we expect to see from our eyeData project! The presentations went quite well!

Here’s a quick snapshot of our UI Presentation, highlighting some key ideas (inspired by CS50 Courses)

What went well

The presentations went quite well – each team member contributed great idea to the project and raised questions the presenter hadn’t yet considered. The process of figuring out how the UI would be laid out went incredibly well 🙂

What was challenging

The scope analysis of this project is the most challenging so far! Do we want to focus on just survey data and DataVerse, or should we begin considering handling more general sets. Another challenging aspect of the work will be the collaboration – how will we divide the work and make sure that each team member can be kept up to data? Our plan is to use GitHub for version control and bug reports!

What’s up next

Up next, we have our Scope Doc! This is a document which will incorporate most of our ideas and list out the tools and resources we plan to use for our project. It will help us get organized before we dive into coding! We plan to have this prepared for our next meeting, during which we will dive into each aspect in detail and begin assigning parts to each team member! Here’s a quick snapshot of what we have so far!

Go team eyeData! Wait to hear more from us next week!

Best,

Luis Perez (College ’16)