🧩 [RTIP] - ralger: web scraping “rápido y sin dolor” en R ¿Querés empezar a hacer web scraping en R pero rvest te intimida un poco? El paquete ralger envuelve a rvest y otras herramientas para ofrecer funciones simples que extraen texto, tablas, links, imágenes y más, con una

"Guantanamera", interpretada por 75 artistas cubanos para o projeto Playing For Change. "Guantanamera" é uma das obras mais conhecidas do cancioneiro popular cubano. A composição é formalmente atribuída a Joseíto Fernández, que a popularizou a partir de 1929. Alguns

{ripper} dissects your #Quarto documents, extracting code blocks by language and leaving executable scripts behind. Supports #rstats, #python, #julia, and 13 other victims. For those who never stopped celebrating Halloween. 📚 https://t.co/PkFLO7RTKN 💻 https://t.co/JISVW6JG0U

New #rstats package: rtileserver. We've always been constrained by how time-consuming it is to map large-scale data (more than ~20k points) With this, we do it with one line (and a database). https://t.co/RCqypeoygJ Thanks to @kyle_e_walker and @giswqs for demos.

Descobri um pacote interessante para mapas. Aliás, rodou bem mais leve que o tradicional de mapas. Peguei os microdados do Enem de 2024 e plotei esse mapa com médias de redação para cada municipio, apenas escolas públicas.

Machine learning: The book systematically covers supervised, Bayesian, and generative/unsupervised methods. - It weaves in practical model-building advice and ethical considerations throughout. - Offers a well-illustrated, rigorous, yet reader-friendly path into the

Escrevi 314 linhas de código de R sobre análise de cluster com o objetivo de facilitar a sua vida. O script conta com aplicações mais básicas e coisas mais avançadas para vc classificar casos em grupos (conglomerados). Exploramos as funcionalidades de 3 principais pacotes:

Atualização do📦{censobr} p/ baixar dados do censo demográfico em #rstats. Novidades do #censobr v.0.5.0: - Dados e dicionário de agregados por setor censitario de 2022 e 2000 - Possivel escolher a pasta de cache persistente - Download de dados mais rapido https://t.co/x7nQTM5rh2

🔍 ¿Tu análisis de clustering es fiable? Aprende a validarlo 🧠 El clustering no termina cuando el algoritmo te devuelve unos grupos. ¡Eso es solo el principio! 😉 Antes de sacar conclusiones, asegúrate de que tu agrupación es buena, estable y coherente.👇🧵

How to Calculate Percentiles in R

The new `enable_shiny_hover()` function in mapgl for #rstats lets you use your mouse's position as a Shiny input! Be judicious with how you use it for performance reasons... but it unlocks so many possibilities. Example: Census tracts that restyle based on your cursor position

mapgl v0.3 for #rstats gives you the ability to customize your map legend's appearance with no CSS required. Use the `legend_style()` function to style the legend container, typography, and elements - and even add a drop shadow if you'd like. More info: https://t.co/NDdU1MjxF8

{mcpr} now works with {ellmer} https://t.co/4nxG5icNYM

Tutorial: fundamentals of map design with the {mapgl} #rstats package. Learn how to use continuous & categorical color schemes, set up custom legends, format pop-ups and hover effects, and much more. Read the vignette: https://t.co/rlAqWrXN5r

High Resolution Tree Height Mapping of the Amazon Forest using Planet NICFI Images and LiDAR-Informed U-Net Model

Editable features are in the development pipeline for the #rstats {mapgl} package! I've got a ways to go before it is ready to share, but it's going to open up a whole realm of possibilities for interactions with your spatial data in your R sessions / Shiny apps.

[MAPAS 🗺️] 📢 ¿Sabías que el desarrollo de paquetes en R para trabajar con mapas en Latinoamérica es de lo más basto? 🇦🇷 🇨🇱 🇧🇷 🇵🇪 🇺🇾 🇨🇷 Acá te dejamos una lista de 📦s para seguir potenciando tu trabajo con R a la hora de hacer mapas 🧵👇🏻

📦modeltime. Predicción con varios modelos: ARIMA, Prophet, ETS, random forest, SVM, XGBoost. 💥 Amplía el ecosistema de Tidymodels para la previsión de series temporales. https://t.co/urRn4OPVKQ #datascience #stats #analytics #rstats #programming #timeseries #ML #dataviz

The 10 types of clustering that all data scientists need to know. Let's dive in:

🍒🍏🍑 Multi-Temporal #Sentinel1 and #Sentinel2 Data for #Orchards Discrimination in Khairpur District, #Pakistan Using #Spectral Separability Analysis and Machine Learning #Classification ✍️ Arif Ur Rehman et al. 🔗 https://t.co/IzKjivcOf8