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
Hi, this is the link to my blog:
It contains my machine learning/ deep learning projects, few as of now. More coming.
Any kind of criticism/suggestions/corrections are very much welcome, as it will help me learn. I am a beginner.
If any experts/instructors would like to give a review on the projects, that would be great. And the students, follow the blog if you find it useful and for future updates.
The charts are carefully prepared! It is obvious you have done data analysis before. Very nice! I hope you get more time from Quincy to handle still different topics? Graphs are too focused on gender and age, IMO. But definitively very nicely worked.
Can you please share here the references you might have used to prepare the graphs? Blogs? Tutorials? Others?
@evaristoc thank you for your kind words. That is very nice of you to say, and has made me feel better already about my insecurities. I’ll repost my GitHub link and you can see the code for yourself.
You see a lot of gender and age, because that’s where I started. I need a couple more days to do more interesting analysis to get some deeper insights. These were just surface because that’s where I started. I’ve used a multitude of reference over the months to build up my skill in R. Some include Udacity’s data analyst nanodegree, data camp R track, R for Data Science by Hadley Wickum. And a multitude of other online sources. My Twitter (@GoldbergData) is where I find a lot of useful blog posts on data science. I RT a lot of stuff. Ask any questions, and I’ll happily answer. My knowledge of R is a piecemeal of all these resources I’ve studied.
goldbergdata sends brownie points to @evaristoc :sparkles: :thumbsup: :sparkles:
The format looked pretty much like d3.js, although in fact it could be the other way around : usual designs in d3.js might trend to look like R ggplots. Same with Python.
Which library did you use to produce the HTML file?
And are you using any R repl in particular? I use RStudio.
@mcbarlowe I am getting an error after trying to open the big dump (BitTorrent) file with R?
library('rjson') json_data <- fromJSON(file='output.json') #Error in paste(readLines(file, warn = FALSE), collapse = "") : #result would exceed 2^31-1 bytes
It is big, but I was able to open it with python last time - after long time evaluating the file and finding out some options online.
Can you please test?
I succeeded with this library:
library(jsonlite) json_data <- fromJSON("output.json", flatten=TRUE)
Can you please try both too?
quincylarson sends brownie points to @goldbergdata :sparkles: :thumbsup: :sparkles:
@QuincyLarson you’re welcome. Sorry I work full time and do this in my free time (although my full time work overlaps with this field exactly). I’m going to make some more visualizations tonight. I can export any graphs if you like and email them in high resolution. If you have a preferred dimension for the image let me know.
When is your estimated publish date? I can throw any headers or color schemes on the visualizations to match your article. Or footnotes.