These are chat archives for FreeCodeCamp/DataScience

24th
Oct 2018
Eric Leung
@erictleung
Oct 24 2018 02:44 UTC
Much good.
Very learn :smile:
Vishal Kumar Roy
@VishalKumarRoy
Oct 24 2018 03:41 UTC
Hi Everyone!
I M A Beginner In Machine Learning!!Can anyone plz help me how to begin with it and a road map!!And some good resources to learn ML!
Eric Leung
@erictleung
Oct 24 2018 04:15 UTC
@becausealice2 man, whoever made the original data visualization may be on the chopping block considering how much people are just tearing apart the visualization, day after day. Exhibit 826262 http://mimno.org/Matrix/
Me11234
@Me11234
Oct 24 2018 10:29 UTC
@Me11234
Good Morning All
Does anyone here know a lot about Google App Script?
Alice Jiang
@becausealice2
Oct 24 2018 14:25 UTC
The conference has been fantastic! I talked to Julia Silge and she was able to answer all my questions (so far) and I even got some stickers from her
Oh goddamnit
Binyamin Aron Green
@b3u
Oct 24 2018 14:25 UTC
conference?
Alice Jiang
@becausealice2
Oct 24 2018 14:26 UTC
Sorry guys, mobile gutter failed
No conference, ignore that message
Binyamin Aron Green
@b3u
Oct 24 2018 14:26 UTC
oh, okay
someone was talking about something similar before
mstellaluna
@mstellaluna
Oct 24 2018 14:51 UTC
@becausealice2 :wave:
Binyamin Aron Green
@b3u
Oct 24 2018 15:00 UTC
anyone know a good d3 tutorial
also, how come nobody talks about data viz on youtube? its all mean/mern
Alice Jiang
@becausealice2
Oct 24 2018 18:20 UTC
@mstellaluna :wave: :snail:
mstellaluna
@mstellaluna
Oct 24 2018 18:21 UTC
Lol why the snail?
Alice Jiang
@becausealice2
Oct 24 2018 18:21 UTC
@b3u It may have been me, that message is a copy of one I posted a couple weekends ago
it was an old FCC/FCC gitter channel meme
speaking of memes, @erictleung I love, love, LOVE data dweeb memes like this
@mstellaluna Think: Spatzerny, Llamatarianism, Combsco, me type of meme
mstellaluna
@mstellaluna
Oct 24 2018 18:22 UTC
Oh ok lol
Alice Jiang
@becausealice2
Oct 24 2018 18:23 UTC
@b3u If you want to learn how to data viz well, Udacity has one that's D3 and data viz (free) but it's D3 V3 and I think we're on V5 atm. The visualization fundamentals are really good, though, so if you can get through those sections and not worry about the coding bits it's fine
D3 has also been really good about keeping track of changed throuhout versions, I learned D3 V4 by following D3 V3 tutorials with D3 documentation open and just read on what the methods were called in the new version
edX might have some, Microsoft has been cranking out data science courses like no one's business, I'd be surprised if they didn't include something with D3 (though keep in mind, their courses are largely advertisements for their products. You should always supplement learning materials with some from other sources, anyways)
Pluralsight appears to have some courses. I'm not positive how up-to-date the information is, and it's a subscription service...
Alice Jiang
@becausealice2
Oct 24 2018 18:28 UTC
Another really good bet is Observable. Mike Bostock had a hand in it and posts frequently, so there's guaranteed to be a wealth of good examples.
@Me11234 I've never even heard of it, I'll have to look into it... did you have any specific questions?
@VishalKumarRoy That kinda depends a little bit. Do you have a preferred programming language? check out edX. Microsoft has been posting a bunch of courses and they have currated curriculum of several courses in lots of topics including machine learning related topics. Like I said above, there's a lot of advertisement of microsoft products in their courses, but they provide excellent supplemental materials, and the quality of the coursework has greatly improved since I first tried some and are a lot more weighted towards knowledge than advertisement
Binyamin Aron Green
@b3u
Oct 24 2018 18:56 UTC
@becausealice2 Thanks for the info
Alice Jiang
@becausealice2
Oct 24 2018 19:50 UTC
:+1:

@/all Hey data science friends, here are the raw results of the New Coder Survey!

I haven't done anything to clean these data. I believe @erictleung is planning to go through and clean them so we can push them to Kaggle.

You're welcome to go ahead and look at them now though if you don't want to wait.

We had 31,100 responses this year! I imagine there are quite a few insights in here, most of which should be statistically significant. Happy crunching!

Alice Jiang
@becausealice2
Oct 24 2018 21:11 UTC
@QuincyLarson Fearless leader!
Thanks for the preview of the data :blush:
Is this a preview? Pre-release?
IDK what words trendy relevant people use.... D:
Ohhh look at all the 27+ years old responses!
POINTS FOR US OLD FOLK
Quincy Larson
@QuincyLarson
Oct 24 2018 21:33 UTC
@becausealice2 Yes - our median age in the past has been around 29.
@becausealice2 This is the full dataset. Once we clean it and draw more insights from it, I'll publish an article summarizing the results and encouraging the general public to dig into the data on Kaggle.
Eric Leung
@erictleung
Oct 24 2018 22:20 UTC
@QuincyLarson thanks for the notification! Yes, I've started a repo to help clean the data if anyone is interersted in taking a look https://github.com/erictleung/2018-new-coder-survey. I'll try to get to doing some exploratory data analysis (EDA) later this week and post those results here. These results will be from the raw data, so there will be issues, but the purpose is to find those so that it will inform how I clean things up.
Eric Leung
@erictleung
Oct 24 2018 23:33 UTC
Some useful R packages to start with https://github.com/rstudio/RStartHere