R for Data Science
r4ds.had.co.nz
R for Data Science
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Re: R for Data Science
#2I'm the author, and I'm happy to answer any questions.
The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
Re: R for Data Science
#3I'm the author, and I'm happy to answer any questions. The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
Trivial, self-serving question: is there a library for generating the diagram of table relationships here (13.2 nycflights13) http://r4ds.had.co.nz/relational-data.html
And of course, thanks for another great book, it's helpful for learning R but I'm always enlightened by how thoroughly you explain the general concepts (e.g. Relational data and joins). Have heard a few people on faculty speak enthusiastically about the book even as I hold out for more adoption of Python :)
Re: R for Data Science
#4R for Data Science is the canonical source for learning R and other real-world R tools such as dplyr/tidyr/ggplot2, and one I've recommended on HN submissions about R tutorials which simply go over primitative data types and out-of-date packages. (It's one of the reasons I've postponed making R tutorials myself, since the book would be better/more accurate in all circumstances.)
Re: R for Data Science
#5I'm the author, and I'm happy to answer any questions. The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
I'll be sure to buy a copy -- I'd just rather wait for the final version.
Re: R for Data Science
#6What is the equivalent book for Python and data science?
Re: R for Data Science
#7I'm the author, and I'm happy to answer any questions. The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
Is there (or are there plans for) a version of this in Jupyter notebooks?
Re: R for Data Science
#8What is the equivalent book for Python and data science?
There's a large number of such books, though none that are as authoritative with respect to Python (this is a statement about the size of Python's community vs. R, not necessarily about the authors):
- via Wes McKinney, creator of pandas (which makes Python about as close to R as you can get): https://www.amazon.com/Python-Data-Analysis-Wrangling-IPytho...
- http://joelgrus.com/2015/04/26/data-science-from-scratch-fir...
There are a bunch of books specific to machine learning too though I haven't read them myself.
Re: R for Data Science
#9I'm the author, and I'm happy to answer any questions. The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
Is there (or are there plans for) a version of this in Jupyter notebooks?
No, because I don't use Jupyter notebooks.
Re: R for Data Science
#10I'm the author, and I'm happy to answer any questions. The book should be in print by (hopefully) the end of this year, or definitely by Jan 2017. The content will not change significantly, but there is will be minor fixes and a lot of proof reading.
Trivial, self-serving question: is there a library for generating the diagram of table relationships here (13.2 nycflights13) http://r4ds.had.co.nz/relational-data.html And of course, thanks for another great book, it's helpful for learning R but I'm always enlightened by how thoroughly you explain the general concepts (e.g. Relational data and joins). Have heard a few people on faculty speak enthusiastically about t…
No, I wish there was. Those were painstakingly drawn by hand.