Les 10 concurrents tidyverse.org les plus visités

rdocumentation.org

easily search the documentation for every version of every r package on cran and bioconductor.

r-graph-gallery.com

This post explains how to create interactive ggplot2 graphs with a high level of customization using the ggiraph extension. It provides several reproducible examples and detailed explanations.

sthda.com

Statistical tools for data analysis and visualization

r-bloggers.com

sentiment.aiMore powerful sentiment analysis using deep learning models made simple..See github.io page herehttps://benwiseman.github.io/sentiment.ai/OverviewKorn Ferry Institute's AITMI team made sentiment.ai for researchers and tinkerers who want a straight-forward way to use powerful, open source deep learning models to improve their sentiment analyses. Our approach is relatively simple and out performs the current best offerings on CRAN and even Microsoft's Azure Cognitive Services. Given that we felt the current norm for sentiment analysis isn't quite good enough, we decided to open-source our simplified interface to turn Universal Sentence Encoder embedding vectors into sentiment scores.We've wrapped a lot of the underlying hassle up to make the process as simple as possible. In addition to just being cool, this approach solves several problems with traditional sentiment analysis, namely:More robust, can handle spelling mitsakes and mixed case, and can be applied to dieciséis (16) languages!Doesn't need a ridged lexicon, rather it matches to an embedding vector (reduces language to a vector of numbers that capture the information, kind of like a PCA). This means you can get scores for words that are not in the lexicon but are similar to existing words!Choose the context for what negative and positive mean using the sentiment_match() function. For example, you could set positive to mean "high quality" and negative to mean "low quality" when looking at product reviews.Power Because it draws from language embedding models trained on billions of texts, news articles, and wikipedia entries, it is able to detect things such as "I learned so much on my trip to Hiroshima museum last year!" is associated with something positive and that "What happeded to the people of Hiroshima in 1945" is associated with something negative.The power is yours We've designed sentiment.ai such that the community can contribute sentiment models via github. This way, it's easier for the co

statology.org

In this article, we’ll use real-life examples to see how to apply window functions in PySpark.

datanovia.com

Bem-vindo à Datanovia, seu destino completo para dominar a ciência de dados, o aprendizado de máquina, o aprendizado profundo, a visualização de dados, a análise estatística e ferramentas como Git, Docker e VSCode. Aprenda a programar em Python e R com tutoriais, eBooks e projetos interativos para todos os níveis.

r-charts.com

Over 1400 graphs with reproducible code divided in 8 big categories and over 50 chart types, in addition of tools to choose and create colors and color palettes

rdrr.io

A comprehensive index of R packages and documentation from CRAN, Bioconductor, GitHub and R-Forge.

posit.co

The best data science is open source. Posit is committed to creating incredible open-source tools for individuals, teams, and enterprises.