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
biniamhaddish sends brownie points to @erictleung :sparkles: :thumbsup: :sparkles:
Well I got Anaconda to work with NLTK; so it will become an exciting day. I need to toy around the various tools just to see how I will handle my messy data. It isn't even raw data yet. I think making a toolset cheat sheet will be probably a good idea. In R I found Views that installs modules for given related tasks and pipelines. That is certainly useful. If someone comes accross image analysis. Just keep me in mind. I am not actively searching for that, but images are also powerful in conveiing messages. I could do a few by hand as examples just to see what I can come up with; you never know what computing could find.
A quick question about scraping: I was scraping the Harvard site and I noticed that using the browser web console I wasn't able to find and select the data I wanted to scrape. So I resorted to copy and paste. Can it be that some data is hidden or many levels deep burried?
mesmoiron sends brownie points to @erictleung :sparkles: :thumbsup: :sparkles:
Hi @alvin-odins for what I am finding you might need to make calls from your frontend or backend to the different datasets and formats that idbr handles and then work the data on your app?
It seems that idbr is an API to census data?
Here an example NOT using idbr but I think the blog might contain some examples of your interest?
@apottr can you suggest a technology and experience? I am also interested as I found myself stuck in the past.
Forced to think on Selenium to trigger JS commands... I didn't work any scrapping solution at the end and looked for another resource.