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Old 24-09-2016, 19:47
sirwin sirwin is offline
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Re: R Package for Downloading FIRST API Data

Thanks for the positive feedback.
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Old 25-09-2016, 10:10
sirwin sirwin is offline
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Re: R Package for Downloading FIRST API Data

ngreen, let me know if you run into any glitches with the package, either here or in the issues section of the github repository. I was only able to test it on a couple different computers.

I considered both R and Python with the Pandas package for developing this package, and I initially played around with the FIRST API in both languages. I think Python is better as a general purpose scripting language and I found the documentation for Python to be much easier to understand than R's documentation. But for some random reason, early on, I made more progress in R than in Python.

I'm experimenting with a Shiney app as well. I think Shiney could work well for building an application to present our scouting data to the drive crew -- I'm going to see if our scouting group is interested in pursuing that project. If we come up with any interesting R data visualization techniques we'll post them on the github webpages for the firstapiR package.
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Old 29-09-2016, 22:45
Conor Ryan Conor Ryan is offline
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Re: R Package for Downloading FIRST API Data

Thanks for starting the API! With the right community for R, we can really bring the beginnings of data science to the masses. Machine Learning for alliance selection? K-Means for determining balanced alliances? We can really go a step further here than what exists today.

Quote:
Originally Posted by sirwin View Post
I'm experimenting with a Shiney app as well. I think Shiney could work well for building an application to present our scouting data to the drive crew -- I'm going to see if our scouting group is interested in pursuing that project. If we come up with any interesting R data visualization techniques we'll post them on the github webpages for the firstapiR package.
I've been doing a lot of work with Rshiny for work lately and it is easily the best interface for rapid prototyping of R data applications. Highly recommended, in 20 minutes you can have a quality interface. If you get proficient at it there are a lot of great job opportunities out there.

After R the next leap forward is Scala, but this is a great place to be today.
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