I’m mostly a R user, although a new job will require me to be a Pythonista!
For the most part, I can find some R-Python cheatsheet (for example R tidy verses to Python’s Panda equivalent).
But it feels a bit unnatural because it feels more like a R to Python translation exercise instead of thinking in Python.
Hadley Wickham’s R for Data Science is my favorite book that helps me to think in R to tackle data problems (basic transformation, data wrangling, data visualization, data modeling, etc)
I think I would benefit the same if you the Pythonistas can recommend me some good books I can follow through so that I can think in Python.
Thank you 🙏🏻!
I've been reading Wickham's Advanced R book, and I'm considering whether or not to commit to finishing it. For some background, I've been learning R on the job for a few years now. I consider myself to have a thorough working knowledge of the foundations. The book has been good for a technical explanation for what goes on behind the scenes of even the most basic snippets.
However, I'm at a point where I'm wondering if the knowledge after chapter 11 is worth it for me. The detail is already esoteric by my standards. I work for a bank doing analytics work and this book seems like it's written more for an academic or a software developer.
Can anyone speak to the benefits of digesting this book entirely? I'd love to hear your perspective. Thanks!
Kind of at a similar level -- I love videos where people tidy data in real time in front of you.
Broadly, I'm interested in the process of data analysis/science and how to make it easier, faster, and more fun. That's what has lead to the development of my most popular packages like ggplot2, dplyr, tidyr, stringr. This year, I've been particularly interested in making it as easy as possible to get data into R. That's lead to my work on the DBI, haven, readr, readxl, and httr packages. Please feel free to ask me anything about the craft of data science.
I'm also broadly interested in the craft of programming, and the design of programming languages. I'm interested in helping people see the beauty at the heart of R and learn to master it as easily as possible. As well as a number of packages like devtools, testthat, and roxygen2, I've written two books along those lines:
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Advanced R, which teaches R as a programming language, mostly divorced from its usual application as a data analysis tool.
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R packages, which teaches software development best practices for R: documentation, unit testing, etc.
Please ask me anything about R programming!
Other things you might want to ask me about:
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I work at RStudio.
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I'm the chair of the infrastructure steering committee of the R Consortium.
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I'm a member of the R Foundation.
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I'm a fellow in the American Statistical Association.
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I'm an Adjunct Professor of Statistics at Rice University: that means they don't pay me and I don't do any work for them, but I still get to use the library. I was a full time Assistant Professor for four years before joining RStudio.
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These days I do a lot of programming in C++ via Rcpp.
Many questions about my background, and how I got into R, are answered in [my interview at priceonomics](http://priceonomics.
... keep reading on reddit ➡I'm going through the R for Data Science book by Hadley Wickham.
Here's the link:
https://r4ds.had.co.nz/exploratory-data-analysis.html#patterns-and-models
In section 7.7 ggplot2 calls, at the end of the section he says ,"before the pipe was discovered."
What does he mean by discovered? I'm newer to programming so I don't know much but is that something that happens? Are operators or whatever like...not specifically written into a language but somehow just appear?
Thanks for the help!
Great read on the 20th anniversary of R with Hadley Wickham - chief scientist at RStudio and developer of ggplot! A must read for all R aficionados. https://medium.com/nightingale/dataviz-and-the-20th-anniversary-of-r-an-interview-with-hadley-wickham-ea245078fc8a
He gave a talk and afterwards we took a picture. Not sure if this is the right place to post this, but I am just so happy about this :)
Want to see all the capabilities of ggplot in RStudio? Learn why ggplot is such an amazing library and greatly increased the popularity of R and RStudio! Full code and great walk through! https://youtu.be/D8mHi15z2qs
Hadley is employed by RStudio and Wes is employed by 2sigma, both for-profit firms. It's interesting because their main job is to contribute to non-profit open source software, despite being employed in industry.
For RStudio, the business prop is clear. Hadley made R better -> more people use R -> more people use RStudio.
For 2sigma, a relatively secretive quantitative trading firm, it's not so clear. I guess that 2sigma just uses pandas a lot and wants to fund it? Maybe Wes has duties outside of OSS development, contributing to internal tooling or something, but he has mentioned on twitter that OSS is really his full time gig.
What other examples of firms indirectly sponsoring open source DS software exist via employment?
Beginner trying to learn r and ggplot2.
Question regarding the ggplot2 book by Hadley Wickham.
Anyone read/have it can chime in whether they think it is helpful?
There are 2 editions:
1st edition from 2010 & 2nd edition from 2016
I've been tracking the price and the 2nd edition is really expensive imo. Whereas the 1st edition can be had for $10 or $15. So I'm thinking...is there a big content difference between both the editions? Or, to throw it out there, anyone have a copy they are looking to sell?
I know both can be had online for free but looking to pick up a physical copy to sit down and study with. Appreciate any thoughts. Thanks
https://github.com/hadley/dplyr/commit/f8a46e030b7b899900f2091f41071619d0a46288
Can someone please help me by providing any link to a website or blog which has all such sort of examples made by Hadley Wickham ?
