These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
In my quest to find best ways to build them, it seems that the reusable chart is the best option. However it has some limitations that are important to keep in mind. Here a few:
Also, not everyone is attached to the reusable chart and prefer other strategies. One possible is a OOP approach. An example:
I was also looking more info about d3.js with R and found a popular library, shiny. There are people in this room who already know the library. An example I found from someone in a meetup group I am registered:
I think I have been collecting enough about the basic weapons we could use to prepare a certain kind of "curriculum for building Data-Driven API's" for this room. Basically MEAN (with angular2, sorry reacters...) with emphasis on sockets and possible Rx, Flask as alternative, SQL, good jQuery libraries for controllers, a course I found in Numeric Analysis, R, python and d3.js... For now, not Big Data although I am now talking with people of a project called Thunder (python) to see how it goes...
@Evaderei ! :) Sorry to hear that you broke your phone! I hope it was for a good reason.... :) I hope you recovered and wish you luck for the next time!
We should find those exercises and then make a sort of DSR challenges. I am thinking about collecting data for other free courses in numeric analysis. We have also experience here with some aspects related to Social Network Analysis. Then I also reading this book:
The main example goes over geo-info.
I think the idea would be to select at least one example, and we will revise together our progress and give inputs between us.
If we can find three canonical examples, in 3 different areas, that would be great... You just have to select one that you like the best... the room could be used to talk about the projects and specially about best practices...
(@emilaasa this is just an idea...)
darwinrc sends brownie points to @evaristoc :sparkles: :thumbsup: :sparkles: