ramikrispin

stevensanderson, 9 days ago to random

@ramikrispin in his channel https://t.me/ramikrispinds posted about a book on Physics Based Simulation. I decided that hey maybe I can port the python code to R, so I'm going to give it a try!

Here is a function to generate mesh data and a ggplot2 plot: https://github.com/spsanderson/healthyR.ai/issues/340

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stevensanderson, 20 days ago to random

My udpated healthyR.data #R #package is on it's way to #CRAN :)

#Healthcare #healthdata #HealthCareData #R #RProgramming #RData #RStats #ROpenSci

@johnmackintosh
@ramikrispin
@rOpenSci
@R_Foundation

https://www.spsanderson.com/healthyR.data/news/index.html#healthyrdata-110

jonthegeek, 23 days ago to DataViz

https://DSLC.io welcomes you to week 21 of #TidyTuesday! We're exploring Carbon Majors emissions data!

📂 https://tidytues.day/2024/2024-05-21
🗞️ https://carbonmajors.org/

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.
Line chart of Carbon Majors & Global Fossil Fuel and Cement Emissions, 1854 - 2022. This graph shows the carbon dioxide emissions traced to the carbon fuels and cement produced by the Carbon Majors entities and compares them to total global fossil fuel and cement emissions, for coal, oil, natural gas and cement. Trends increase over time, with dramatic increase in the 1950s. There are some minor dips in the mid 1980s and mid 1990s, and 2020. Current levels above 40k.
Logo for CarbonMajors. Red circle with CM, and the word CarbonMajor, with Carbon in gray and Major in red.

stevensanderson, 1 month ago to github

Thoughts anyone, what do you think?

#R #RStats #RProgramming #chisquare #Distributions #parameter #estimation #GitHub #issue #Coding #Progrramming #HardProblem

Link: https://github.com/spsanderson/TidyDensity/issues/414

@r_constanzo
@ramikrispin
@bentoh
@jromanowska
@barubary
@RConsortium

useR_conf, 2 months ago to statistics

Sponsorship Opportunities are now available for UseR! 2024.
UseR! 2024 is the 2024 edition of the annual R User Conference, and will be taking place in Salzburg, Austria in July 2024 (as well as online).

Venue: Wyndham Grand Salzburg Conference Centre
Dates: Monday 8th to Thursday 11th July 2024
Website: https://events.linuxfoundation.org/user/
#rstats #rlanguage #coding #statistics #data #analytics #rprogramming #data #opensourcesoftware

RConsortium, 2 months ago to datascience

🎉 R/Medicine Conference 2024 Announcement! 🎉 June 10-14 - Mark your calendars for an immersive experience in health data analysis with R. Featuring keynotes from Stephanie Hicks & Gundula Bosch, plus workshops, demos, and more. Abstract submissions are open! Join us to explore the frontier of medical research and R programming.

#RMedicine2024 #OpenScience #DataScience

https://www.r-consortium.org/events/2024/03/18/r-medicine-coming-june-10-14-2024

amelia, 2 months ago to random

Interesting part-time opportunity for a grad student interested in data science education: https://www.datascience4everyone.org/jobs It's paid, remote, 10 hours a week. Deadline for applications April 30, 2024

useR_conf, 4 months ago to random

We want useR! 2024 to be the most welcoming conference on the planet and as such we have made diversity, equity, and inclusion a core part of everything we do! We are constantly researching and refining everything we do and want to share with everyone what our resources and inspiration are!

Please check out the full post on LinkedIn for more details! We wish we could fully engage on Mastodon, but the character limit doesn't allow us to fully say what we are doing.
https://www.linkedin.com/feed/update/urn:li:activity:7160716281707479042

rOpenSci, 4 months ago to rstats Spanish

📦 [A package a day - Geospatial 6]

Today's Geospatial package is rnaturalearth

Facilitates mapping by making natural earth map data from NaturalEarth more easily available to R users
🙏 Maintained by @philmassicotte
📝 https://docs.ropensci.org/rnaturalearth/

Look how @ramikrispin uses {rnaturalearth} for Visualize covid19 cases
🗺️ https://discuss.ropensci.org/t/visualize-covid19-cases-using-rnaturalearth-package/2058

#PeerReviewed

#APackageADay
#OSS
#RStats
@rstats

stevensanderson, 4 months ago to random

The latest release of the tidyAML R package improves access to model predictions.

The internal_make_wflw_predictions() function now returns a single tibble containing the original data, training predictions, and testing predictions. This makes it easy to evaluate model performance without extra wrangling to extract the predictions.

#R #RStats #tidyaml #tidymodels #parsnip

Post: https://www.spsanderson.com/steveondata/posts/2024-01-18/

ddsjoberg, 5 months ago to datascience

Hello #rstats friends!

The {ggsurvfit} package made its v1.0 release! 🕺🏻🕺🏻

Check it out for your survival/time-to-event visualization needs! The plots are fully ggplot and integrate seamlessly with all the ggplot functions you you already know 📈

#datascience #survival #cran
https://www.danieldsjoberg.com/ggsurvfit/index.html

jimgar, 5 months ago to vscode

New on the blog!

Well, it happened. I've been doing at least some of my R in VS Code. There's actually a lot to like, but a lot of context to get to grips with too.

If you've been considering trying it out as an alternative to RStudio and you use a mac, I recommend taking a skim read of my blog post.

Who am I kidding..? You're on Mastodon. Enjoy your emacs and Linux distro 😅

https://jimgar.github.io/posts/vs-code-macos-r/post.html

#RStats #QuartoPub #VSCode

jadeynryan, 5 months ago to python

#PositConf2023 talks are up on YouTube!

Want to learn about parameterized reporting with #RStats and #QuartoPub? Check out my talk that explains what parameters are and how to use them to increase your efficiency and reproducibility with multi-format #Quarto reports: https://youtu.be/lbE5uOqfT70?si=8b3Dc6iViEN54oVG.

Side note: this works with #Python too!

Side, side note: I'm leading a virtual 2-hour hands-on workshop on this topic January 18th. Register at https://www.meetup.com/rladies-dc/events/297344107/.

ulrich, 6 months ago to random

My #adventofcode #rstats solution for day 5.

🤌 I use the vectorized ifelse aka dplyr::case_when() but it's not for everyone's taste
🤌 Part 2 set my computer on 🔥, so one would need to find an alternative to brute force...

Code in ALT

paulox, 6 months ago to python

Today the 2023 edition of "Advent of the Code", the Christmas-themed computer programming challenge, began this morning ✨

I'll try to solve the puzzles using pure Python without external packages 🐍

Here's my day-one solution 👇
https://github.com/pauloxnet/adventofcode/

#AdventOfCode #Python #AoC

tymwol, 6 months ago to random

👋 #rlang users, I'm a single maintainer of the extraDistr package. It has 1.4M downloads and ~40 other packages depend on it. My last attempt to send an update to CRAN failed because my package failed some cryptic checks they introduced. Now I was warned that, even though I didn't change anything, it failed some new CRAN tests as well and if not fixed, the package will be removed from CRAN. I'm looking for someone who would like to fix it, I'm tired of maintaining it. https://github.com/twolodzko/extraDistr

Thiyangt, 6 months ago to random

Day 13: choropleth map #30DayMapChallenge Made with packages ceylon, ggplot2, and viridis

tanya_shapiro, 7 months ago to random

As a bonus, yesterday we took a peek at how you can combine Quarto + Observable to create a serverless dashboard.

Note, this uses Quarto's 1.4 pre-release. Still pretty cool to imagine what's "plotsible" with this combo!

Link to explore: https://shorturl.at/cnvAS

video/mp4

smach, 7 months ago to python

Geo-Python “is a joint course for geography and geology students at the Department of Geosciences and Geography, University of Helsinki. Course materials are freely available online for anyone interested in the course contents.”
By David Whipp, H. Tenkanen and Vuokko Heikinheimo
https://geo-python.github.io/site/course-info/course-info.html
#Python #GIS #dataviz @python

smach, 7 months ago to python

“DATA VIZ OF THE WEEK: Antti Lipponen Temperature Change by Country 1880-2021. Based on NASA GISTEMP data. 31 October 2021 [Click through for the animation - totally worth it]” - via the ADSA Data Science Community Newsletter

https://live.staticflickr.com/video/51818338216/c5ba485321/1080p.mp4?s=eyJpIjo1MTgxODMzODIxNiwiZSI6MTY5OTE4NjkyMiwicyI6IjM1Mjg1M2Q4YmJkNTE0MzYyMjE1ODg1OThlYjlkMDFmZmVhOTc1NTkiLCJ2IjoxfQ

I found their #python code for a single year here https://gist.github.com/anttilipp/6b572512ef53cfc6bf949afdc8eb6720
#dataviz @python

nrennie, 7 months ago to DataViz

🎃 Happy Halloween! 🎃

Spooky data on horror legends for #TidyTuesday this week!

📈 A quick stream plot made with {ggstream} showing the changing frequency of the top 10 most common words in claims about horror legends! (Regular reminder that stream plots are pretty but can be hard to read!)

🗛 Fonts added and styled with {ggtext}

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-10-31

#RStats #DataViz #R4DS

ramikrispin, 7 months ago to datascience

TIL that there is an R version of the polars Python package 👇🏼

Code ➡️: https://github.com/pola-rs/r-polars
Docs ➡️: https://rpolars.github.io/

#datascience #dataengineering #data #rstats #python

tanya_shapiro, 7 months ago to random

last test of the day on this "Shiny as a BI tool" experiment. subbed out mtcars for some nflverse data.

we've got basic calcs and filters working. lot of loops, maybe not most efficient build... but it works

video/mp4

nrennie, 7 months ago to DataViz

Taylor Swift data for #TidyTuesday this week!

📍 Bars created by geom_tile() with rounded corners

🎨 Colour palette from {tayloRswift}

📷 Images added with {ggimage}

Code: https://github.com/nrennie/tidytuesday/tree/main/2023/2023-10-17

#RStats #R4DS #DataViz

nrennie, 8 months ago to random

This weekend I finally got around to deploying a Shiny app wih webR! I've finally put together (almost) all of my #TidyTuesday plots into one place and it made it easier to browse based on the packages used! 📦

You can view the webR-powered app here: https://nrennie.github.io/tidytuesday-shiny-app/

(may take a while to load - not advised to try on mobile!)

Code on GitHub: https://github.com/nrennie/tidytuesday-shiny-app

#RStats #webR #R4DS #Shiny #PositConf2023

Screen recording gif of Shiny app showing user making selections and the plot images updating.