Bruno Rodrigues (@[email protected])
@brodriguesco
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Sworn in Data Janitor Alma mater @Unistra - Phd econ Read my blog or I'll delete your system32: youtube: Mastodon:
Grand-Duchy of Luxembourg
Joined November 2014
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My book is done. I need to write a conclusion to the last chapter and will likely rewrite some paragraphs, but I won't make major changes anymore. So if you're interested in building reproducible analytical pipelines with
#RStats
, take a look it's free:
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me: I need to compute some summary statistics and t-test
R: yes
me: also linear regression
R: sure
me: pretty graphs
R: gotcha
me: I'd also like to build an interactive game like a clone of wordle
R: you're not gonna believe this
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And another chapter done! Learn about build automation using {targets}
If you’re interested in upping your data science game and build reproducible analytical pipelines, give my book a read, it’s free:
Comments more than welcome!
#RStats
#DataScience
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#RStats
is used by 69 billion people each day.
But no one uses it effectively.
Here are 420 tips and tricks you should know TODAY to extract value from your data:
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I've just read that that Yihui Xie
@xieyihui
left
@posit_pbc
he will continue to work on his packages as a contractor
that's really surprising (not in a good way) news to start 2024...
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The final PDF of the book, ready for print, is 520 pages long.
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I don't think I've ever read the paper that introduced the R programming language
here it is
#RStats
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#RStats
anecdote: When I started learning econometrics at Uni in France, I asked the professor which software was the standard. He said "Air". That evening at home I Google "Air econometrics software" but didn't find anything. I asked him the next day to clarify...
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Little
#RStats
function I use when I quickly need to open the result of various %>% operations in Excel
as in : mtcars %>% filter(am == 1) %>% show_in_excel()
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amazing read by
@nntaleb
and providing a cheap black and white version of the book as print on demand is a great idea
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If you use
#rstats
and are interested in reproducibility but confused by all of the ecosystem around it, I'm currently working on an ebook that should. Called "Building reproducible analytical pipelines with R" you can start reading it here
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New domain name for my e-book, Modern R with the tidyverse
modern-rstats dot eu
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My new book project, "Building reproducible analytical pipelines with
#rstats
", will teach you how to make projects reproducible. Manifest your interest here:
just want to read the WIP version? 👇
if you prefer physical 1/2
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I really love this
The {targets}
#RStats
package is probably one of the most underrated packages out there! Give it a try! You won't regret it!
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Are you struggling to see how
#Docker
can make your
#datascience
pipelines reproducible? Want to learn how to make projects reproducible?Take a look at the latest chapter of my free book:
Comments more than welcome!
#RStats
#DataScience
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Really happy with how it looks! I keep looking at it!
The proof is in, and it's looking niiiiiice!
Building reproducible analytical pipelines with
#rstats
will be available on Amazon on June 20th!
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Just finished the chapter on testing in my book.
If you’re interested in upping your data science game and build reproducible analytical pipelines, give my book a read, it’s free:
Comments more than welcome!
#RStats
#DataScience
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Today is my birthday, so I thought I'd make a coupon code so you can get a DRM-free Epub and Pdf of Building reproducible analytical pipelines with
#rstats
for 14.99
Physical books are coming next week to Amazon !
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The proof is in, and it's looking niiiiiice!
Building reproducible analytical pipelines with
#rstats
will be available on Amazon on June 20th!
5
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133
New blog post: Machine learning with {tidymodels} (by
@topepos
). Learn how to tune several models in parallel using list of models, list of grids and furrrr::future_map() (by
@dvaughan32
)!
#rstats
#datascience
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You can now get physical copies of my book, "Building reproducible analytical pipelines with
#RStats
" on (USA only for now):
other marketplaces (FR, DE, ES, and more) will follow in the coming days!
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I love the {withr}
#RStats
package
Need to create a single plot? Just use withr::with_package("ggplot2", ...)
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You can get the Docker image with all the code and slides here:
the slides are also online here:
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗿𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗹𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘄𝗶𝘁𝗵 𝗥
Join
#ReproT
𝟭𝟵 𝗝𝘂𝗹𝘆, where Dr Rodrigues
@brodriguesco
will show how to make research more reproducible:
@jessiebaldwin
@SwissRN
@ukrepro
@ReproducibiliT
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Imagine unironically doing geospatial analysis with Python instead of R
Laptop was a bit low on memory so I uninstalled a few useless programs. Starting with R
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"Air, like ze letter R!"
Yes the letter R in French is pronounced like the English word for "Air"
This was the first time I heard of R, that was in 2009. little did I know that "Air" would become my main work tool!
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@Cor3ntin
I ask myself following question: has there ever been any vaccine, any at all ever, where several decades after a vaccination campaign people developed any disease due to said vaccine?
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QT with a meme you made
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My new (invited) blog post for
@rdata_lu
: Skip errors in R loops by not writing loops
#rstats
#purrr
#DataScience
@k_rosamont
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I'm very happy to announce that {chronicler}, an
#RStats
📦 I've been working on for 3+ months is now available on CRAN! The following blog post introduces it very quickly:
but continue scrolling down if you want an even TL;DR summary!
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ALT-F4 and then double clicking on RStudio
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Building reproducible analytical pipelines with
#rstats
will be available on Amazon on June 20th. 34.99$, 29.99£, 29.99€, 44.99CAD
You can buy a DRM free epub and pdf at for 19.99 (min. price)
You can read it for free forever at
The final PDF of the book, ready for print, is 520 pages long.
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new blog post: teaching the
#tidyverse
to beginners:
This blog post details what I covered and how the participants to the courses reacted to it!
#rstats
@drob
@strengejacke
@hadleywickham
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Just changed like 100 grepl calls to stringi::stri_detect and my pipeline now runs 4 times faster
#RStats
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Need a last minute gift for the fan of reproducibility and
#RStats
fan in your life?
Get my ebook, "Building reproducible analytical pipelines with R" for $9.99
Merry Christmas!
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New blog post: Reproducible
#DataScience
with
#Nix
, part 6 -- CI/CD has never been easier
or how to run an
#RStats
{targets} pipeline on Github Actions using
#Nix
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PSA: If you're an R user and rely on MRAN for reproducibility, you should know MRAN is getting shutdown. You might want to start migrating to the
@posit_pbc
package manager which also allows you to use packages as of a specific date like MRAN
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Started writing the preface to the python edition of "Building reproducible analytical pipelines with..."
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Even though I think
#RStats
is the superior choice when it comes to data *anything*, I think I might work on a python edition of the book. Those notebooks hosted on Github without any requirements.txt or Dockerfiles need to stop!
Need a last minute gift for the fan of reproducibility and
#RStats
fan in your life?
Get my ebook, "Building reproducible analytical pipelines with R" for $9.99
Merry Christmas!
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The year is 2029. Data Scientists fresh out of school now clean data by opening CSV files in Excel and directly writing the needed Python code in the Workbook. They still do mean imputation.
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Looking for a nice introduction to
#reproducibility
using
#Docker
and
#RStats
?
@_ColinFay
has you covered with this great blog post!
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R devs: "🤔 my package depends on this other well-maintained package for just 3 functions, guess I'll refractor everything to get rid of that dependency and lower risk for my users"
JS devs:
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Almost one year ago, I’ve ran all example scripts shipped in versions of R from 0.6.0 up to 4.2.2 on R version 4.2.2
as you can see,
#RStats
4.2.2 is still able to run more than three quarters of the examples of the oldest release of R!
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Amazing short documentary on the UNIX OS: if you’re an
#RStats
programmer, you will see that much of the paradigms you use today have been invented a very long time ago (if you only watch one thing, it has to be the discussion on piping starting at 4:56)
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New
#RStats
x
#Nix
blog post: Reproducible data science with Nix, part 9 -- rix is looking for testers!
Check out the latest feature implemented by
@PhilippBauman15
, with_nix(), it'll blow your mind!
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Don’t hesitate to contribute the books forum:
ask questions, report typos, make suggestions!
#RStats
#DataScience
And another chapter done! Learn about build automation using {targets}
If you’re interested in upping your data science game and build reproducible analytical pipelines, give my book a read, it’s free:
Comments more than welcome!
#RStats
#DataScience
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The only thing this is going to kill is itself once Google decides to abandon it once there's an established and solid userbase.
Google is launching a new IDE, This looks awesome 🥰
This is going to be the new VScode killer
#programming
#developers
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"Building reproducible analytical pipelines with
#RStats
" available in several European Amazon marketplaces now as well!
🇫🇷
🇩🇪
🇪🇸
🇮🇹
and others!
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@OscarBaruffa
@comeetie
this is what a perfect website looks like. No distractions, accessible, loads fast even of a 28k connection.
Perfect!
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Running the EXACT same code on the EXACT same version of a prog language can sometimes produce DIFFERENT results because of OS, see:
why? because the analys script relied on the order of files, and this order depends on the OS!
#reproducibility
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Did you know that Luxembourg is the only landlocked mediterranean country?
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Do you program in
#Rstats
? Do you use
#FunctionalProgramming
? Have you ever heard about
#Monads
? It's an advanced concept in functional programming. I've made a video that tells you (almost) everything you need to know
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If you're interested in reproducibility and have nothing to watch while eating your lunch today, then why not watch this video of mine
#RStats
#datascience
#reproducibility
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Are you an
#RStats
user and want to make your projects
#reproducible
? Get started with
#Nix
in 7 blog posts 👇
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If you struggle with installing
#RStats
📦 on Ubuntu (relevant for docker), go to and click on "setup". Choose Ubuntu, and then look for 📦. System-level deps will be listed there. But of course, the easiest is
@eddelbuettel
r2u:
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New blog post: A tutorial on tidy cross-validation with
#rstats
using
#tidymodels
packages from
@rstudio
's
@topepos
#DataScience
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I made this
@DataPolars
meme, but with
@wesmckinn
joining
@posit_pbc
my guess is that Ibis will become the de facto dplyr-like library for Python, and more tidyverse-inspired packages will join ibis and in due time, there will be a tidyverse-like set of packages for Python. 1/2
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Do you program in
#Rstats
? Do you use
#FunctionalProgramming
? Have you ever heard about
#Monads
? It's an advanced concept in functional programming. I've made a video that tells you (almost) everything you need to know
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@dataandme
@grrrck
import_list() from {rio} also imports a list of files at once and adds a column with the name of the file to the resulting data frame. worth checking out!
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New
#RStats
X
#Nix
blog post: Reproducible
#DataScience
with Nix, part 3 -- frictionless {plumber} api deployments with Nix
Where I'm showing how Nix makes deploying an API on a Digital Ocean VM trivially simple.
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@romain_francois
@posit_pbc
Hi Romain, I think I speak for all tidyverse users when I say this: thank you so much for all your hard work on the tidyverse ecosystem which makes our life so much easier on a daily basis and good luck for your future endeavors!
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New video: Build automation in R with the {drake} package: thanks to
@MilesMcBain
for his blog post that made me want to try it out!
#rstats
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99% done now. Now starts the painful process of editing, rewriting, correcting etc...
My book is done. I need to write a conclusion to the last chapter and will likely rewrite some paragraphs, but I won't make major changes anymore. So if you're interested in building reproducible analytical pipelines with
#RStats
, take a look it's free:
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New blog post:
#rstats
or
#python
? Why not both? Using
@anacondainc
Python within R with {reticulate}, a package by JJ Allaire from
@rstudio
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New vídeo (it's been some time):
Building reproducible analytical pipelines with
#RStats
at ReproTea (2023-07-19)
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#RStats
#tidyverse
question: I want to programmatically create a new variable in my dataset (by counting unique values in groups) and then use this new variable in filter. Is making a copy of this column the only way to solve this issue as in the pic below?
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