Rесурсы

“Wenn du eine weise Antwort verlangst, musst du vernünftig fragen.” — Johann Wolfgang von Goethe.

Блоги

Имя	адрес
Julia Silge	https://juliasilge.com/
Emil Hvitfeldt	https://www.emilhvitfeldt.com/
Nathan Yau	https://flowingdata.com/
Nadieh Bremer	https://www.visualcinnamon.com/
Dr. Dominic Royé	https://dominicroye.github.io/en/
Milos Popovic	https://milospopovic.net/
Robin Lovelace	https://www.robinlovelace.net/
Thomas Mock	https://themockup.blog/
Christian A. Gebhard	https://jollydata.blog/
Data Stuff	https://erdavis.com/
Tyler Morgan-Wall (Rayshader + Rayrender)	https://www.tylermw.com/
Isabella Velásquez	https://ivelasq.rbind.io/
Taras Kaduk	https://taraskaduk.com/
Masumbuko Semba	https://semba-blog.netlify.app/post/
Danielle Navarro	https://blog.djnavarro.net/index.html#category=R
Data Imaginist	https://www.data-imaginist.com/
ONE WORLD (TidyTerra & Maps)	https://dieghernan.github.io/blog/ https://dieghernan.github.io/202210_tidyterra-hillshade/#r_bloggers
Programming with R	https://www.programmingwithr.com/post/
Stats and R	https://statsandr.com/blog/
Dmitry Shkolnik	https://www.dshkol.com/post/
Josh McCrain	http://joshuamccrain.com/
June Choe	https://yjunechoe.github.io/blog.html
Nicola Rennie	https://nrennie.rbind.io/blog/
Restless Data	https://restlessdata.com.au/
Alex Cookson	https://www.alexcookson.com/
Ander Fernández Jauregui	https://anderfernandez.com/en/blog/
Amit Levinson	https://amitlevinson.com/#posts
Jason Bryer	https://bryer.org/post/
Albert Rapp	https://albert-rapp.de/post/
Steven P. Sanderson (Steve On Data)	https://www.spsanderson.com/steveondata/
yuzaR-Blog	https://yuzar-blog.netlify.app/index.html
Harshvardhan	https://www.harsh17.in/blog/
Yuri Vishnevsky	https://yuri.is/
Katie Press	https://kpress.dev/blog/
Luis D. Verde Arregoitia	https://luisdva.github.io/posts/
Pascal Schmidt	https://thatdatatho.com/
Mike Mahoney	https://www.mm218.dev/blog.html
Josiah Parry	https://josiahparry.com/
Andrew Heiss	https://www.andrewheiss.com/blog/
Will Chase	https://www.williamrchase.com/
Kenneth Wong	https://mappyurbanist.com/blog/
Tidy Tales	https://tidytales.ca/
Mara Averick	https://dataand.me/
Joshua Kunst	https://jkunst.com/blog/
R and/or spoRts Meghan Hall	https://meghan.rbind.io/blog/
Steven V. Miller	http://svmiller.com/blog/
Andreas Handel	https://www.andreashandel.com/posts.html
James H Wade	https://jameshwade.com/#category=R
Emily Riederer	https://emilyriederer.netlify.app/#posts
Louise E. Sinks	https://lsinks.github.io/posts.html
Lore Abad	https://loreabad6.github.io/
Claudiu’s Blog	https://claudiu.psychlab.eu/post/
Matt Kaye	https://matthewrkaye.com/posts.html
Jakub Nowosad	https://jakubnowosad.com/posts.html
Solomon Kurz	https://solomonkurz.netlify.app/blog/
Quantum Jitter	https://www.quantumjitter.com/
small tRifles	http://www.sapijaszko.net/glupotki/
Building stories with data	https://www.cararthompson.com/blog.html
R with White Dwarf	https://blog.rwhitedwarf.com/
R and rivers	https://ryanpeek.org/
DataGeek	https://datageeek.com/
RObservations	https://bensstats.wordpress.com/category/robservations/
mlampros	https://mlampros.github.io/
r-spatial	https://r-spatial.org/
Len Kiefer	http://lenkiefer.com/
ouR data generation	https://www.rdatagen.net/
RStudio AI Blog	https://blogs.rstudio.com/ai/
mlr-org	https://mlr-org.com/blog.html
Mastodon rspatial developers and contributors	https://github.com/Nowosad/mastodon-rspatial
UProger (Python)	https://uproger.com/
Лаборатория данных	https://datalaboratory.ru/
Сергей Мастицкий	https://r-analytics.blogspot.com/

Книги

Название	адрес
Коллекции книг
bookdown	https://bookdown.org/
Big Book of R	https://www.bigbookofr.com/index.html
Tidyverse & Tidymodels
R for Data Science	https://r4ds.had.co.nz/
Tidy Modeling with R	https://www.tmwr.org/
Text Mining with R	https://www.tidytextmining.com/
Supervised Machine Learning for Text Analysis in R	https://smltar.com/
Feature Engineering & Selection	https://bookdown.org/max/FES/
Mastering Shiny	https://mastering-shiny.org/index.html
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse	https://moderndive.com/
Tidy Evaluation	https://tidyeval.tidyverse.org/
STAT 545	https://stat545.com/
Modern R with the tidyverse	https://b-rodrigues.github.io/modern_R/
Functional Programming	https://dcl-prog.stanford.edu/
Data Science. A First Introduction (Tiffany Timbers, Trevor Campbell, and Melissa Lee. Foreword by Roger Peng)	https://datasciencebook.ca/
ISLR tidymodels labs	https://emilhvitfeldt.github.io/ISLR-tidymodels-labs/
Introduction to Data Analysis with R	https://jmbuhr.de/dataintro/
Tidyteam code review principles	https://code-review.tidyverse.org/
Геопространственное моделирование
Spatial Data Science with applications in R	https://r-spatial.org/book/
Introduction to Spatial Data Programming with R	http://132.72.155.230:3838/r/index.html
R for Geographic Data Science	https://sdesabbata.github.io/r-for-geographic-data-science/index.html
Geocomputation with R	https://r.geocompx.org/ https://geocompx.org/
Geocomputation with Python	https://py.geocompx.org/ https://geocompx.org/
Introduction to urban accessibility	https://ipeagit.github.io/intro_access_book/en/index.en.html
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny	https://www.paulamoraga.com/book-geospatial/index.html
Hands-On Spatial Data Science with R	https://spatialanalysis.github.io/handsonspatialdata/
Using Spatial Data with R	https://cengel.github.io/R-spatial/
Spatio-Temporal Statistics with R	https://spacetimewithr.org/
Spatial sampling with R	https://dickbrus.github.io/SpatialSamplingwithR/
Geographic Data Science with R: Visualizing and Analyzing Environmental Change	https://bookdown.org/mcwimberly/gdswr-book/
An Introduction to Spatial Data Analysis and Statistics: A Course in R	https://paezha.github.io/spatial-analysis-r/
{sits}: Data Analysis and Machine Learning on Earth Observation Data Cubes with Satellite Image Time Series	https://e-sensing.github.io/sitsbook/
Geographic Data Science with Python	https://geographicdata.science/book/intro.html
Spatial Data Programming with Python	https://geobgu.xyz/py/index.html
Awesome Open Geoscience (в основном Python)	https://github.com/softwareunderground/awesome-open-geoscience
Книги на английском языке
Bayes Rules! An Introduction to Applied Bayesian Modeling	https://www.bayesrulesbook.com/
Deep Learning and Scientific Computing with R torch	https://skeydan.github.io/Deep-Learning-and-Scientific-Computing-with-R-torch/
Data Science for Economists and Other Animals	https://grantmcdermott.com/ds4e/index.html
R Notes for Professionals book	https://goalkicker.com/RBook/
Hands-On Machine Learning with R	https://bradleyboehmke.github.io/HOML/
Data Visualization with R (Kabakoff)	https://rkabacoff.github.io/datavis/
Advanced R Solutions	https://advanced-r-solutions.rbind.io/index.html
What They Forgot to Teach You About R	https://rstats.wtf/index.html
Introduction to Modern Statistics	https://openintro-ims.netlify.app/
Psych 252: Statistical Methods for Behavioral and Social Sciences	https://psych252.github.io/psych252book/
Learning Statistics with R	https://learningstatisticswithr.com/
JavaScript for R	https://book.javascript-for-r.com/
R Packages (2e)	https://r-pkgs.org/
Yet Again: R + Data Science	https://yards.albert-rapp.de/index.html
Mixed Models with R	https://m-clark.github.io/mixed-models-with-R/
mlr3book	https://mlr3book.mlr-org.com/
The Epidemiologist R Handbook	https://epirhandbook.com/en/index.html
Reproducible Science for Busy Researchers	https://bookdown.org/alapo/learnr/
Text Mining for Social Scientists	https://bookdown.org/f_lennert/text-mining-book/
Circular Visualization in R	https://jokergoo.github.io/circlize_book/book/
Hands-On Data Visualization Interactive Storytelling from Spreadsheets to Code	https://handsondataviz.org/
Data Science: Theories, Models, Algorithms, and Analytics	https://srdas.github.io/MLBook/
Computational Analysis of Communication	https://cssbook.net/
Causal Inference in R	https://www.r-causal.org/
Time Series Analysis Lecture Notes with Examples in R	https://vlyubchich.github.io/tsar/
Reproducible Analytical Pipelines - Master’s of Data Science	https://rap4mads.eu/
Explanatory Model Analysis	https://ema.drwhy.ai/
Deep R Programming	https://deepr.gagolewski.com/index.html
Data Science for Psychologists	https://bookdown.org/hneth/ds4psy/
Sports Data Analysis and Visualization	http://mattwaite.github.io/sports/
Computational Genomics with R	https://compgenomr.github.io/book/
Open Forensic Science in R (судебно-медицинская экспертиза)	https://sctyner.github.io/OpenForSciR/
DevOps for Data Science	https://do4ds.com/
Building reproducible analytical pipelines with R	https://raps-with-r.dev/
R Without Statistics	https://book.rwithoutstatistics.com/
Introduction to Econometrics with R	https://www.econometrics-with-r.org/
Creating beautiful tables in R with {gt}	https://gt.albert-rapp.de/
From Python to Numpy	https://www.labri.fr/perso/nrougier/from-python-to-numpy/
Книги на русском языке
Курс ‘Циклы и функционалы в языке R’	https://selesnow.github.io/iterations_in_r/
Введение в dplyr 1.0.0	https://selesnow.github.io/dplyr_1_0_0_course/
Введение в язык программирования R	https://textbook.rintro.ru/
Визуализация и анализ географических данных на языке R	https://tsamsonov.github.io/r-geo-course/
Пространственная статистика и моделирование на языке R	https://tsamsonov.github.io/r-spatstat-course/
Анализ временных рядов с помощью R	https://ranalytics.github.io/tsa-with-r/
Классификация, регрессия и другие алгоритмы Data Mining с использованием R	https://ranalytics.github.io/data-mining/
Язык R для пользователей Excel	https://bookdown.org/selesnow/r-for-excel-users/
Разработка telegram ботов на языке R	https://selesnow.github.io/build_telegram_bot_using_r/index.html
Основы статистики для психологов	https://handbook.mathpsy.com/
Наука о данных в R для программы Цифровых гуманитарных исследований	https://agricolamz.github.io/DS_for_DH/
Анализ данных и статистика в R	https://pozdniakov.github.io/tidy_stats/

Библиотеки

Библиотека	адрес
Поиск библиотек по разделам, авторам, ключевым словам и т.д.	https://r-universe.dev/search/ https://rseek.org/
Awesome R Package Development Tools	https://indrajeetpatil.github.io/awesome-r-pkgtools/
геопространственное моделирование и географические карты
Awesome R Geospatial	https://github.com/sacridini/Awesome-Geospatial#r
CAST: Caret Applications for Spatio-Temporal models Visualization of nearest neighbor distance distributions	https://hannameyer.github.io/CAST/index.html
spdep Spatial Dependence: Weighting Schemes and Statistics	https://r-spatial.github.io/spdep/index.html
biscale Bivarite Mapping with ggplot2	https://cran.r-project.org/web/packages/biscale/vignettes/biscale.html
motif The motif package implements and extends ideas of the pattern-based spatial analysis in R. It describes spatial patterns of categorical raster data for any defined regular and irregular areas. Patterns are represented quantitatively using built-in signatures based on co-occurrence matrices but also allows for any user-defined functions. It enables spatial analysis such as search, change detection, and clustering to be performed on spatial patterns.	https://jakubnowosad.com/motif/
supercells The goal of supercells is to utilize the concept of superpixels to a variety of spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters).	https://jakubnowosad.com/supercells/index.html
rdeck deck.gl widget for R. Fast Mapbox maps.	https://github.com/qfes/rdeck https://www.mrworthington.com/articles/rstats/mapping-in-r/
osmextract The goal of osmextract is to make it easier for people to access OpenStreetMap (OSM) data for reproducible research	https://github.com/ropensci/osmextract https://cran.r-project.org/web/packages/osmextract/vignettes/osmextract.html
stars: Spatiotemporal Arrays: Raster and Vector Datacubes Spatiotemporal data (raster maps, time series of satellite images with multiple spectral bands)	https://r-spatial.github.io/stars/index.html
sftime The aim of sftime is to extent simple features from the sf package to handle (irregular) spatiotemporal data, such as records on earthquakes, accidents, disease or death cases, lightning strikes, data from weather stations, but also movement data which have further constraints.	https://r-spatial.org//r/2022/04/12/sftime-1.html
cubble Cubble provides a new data structure to manipulate spatio-temporal vector data. It arranges variables into two forms: nested form and long form. The two forms can be switched back and forth for manipulation on the spatial and temporal dimension of the data. glyph map, spatiotemporal matching, aggregating data spatially	https://huizezhang-sherry.github.io/cubble/index.html
osmplotr R package to produce visually impressive customisable images of OpenStreetMap (OSM) data downloaded internally from the Overpass API.	https://github.com/ropensci/osmplotr/
googletraffic Create Georeferenced Traffic Data from the Google Maps Javascript API.	https://dime-worldbank.github.io/googletraffic/
basemapR base maps	https://github.com/Chrisjb/basemapR
mapiso The goal of mapiso is to ease the transformation of regularly spaced grids containing continuous data into contour polygons. These grids can be defined by data.frames (x, y, value), sf objects or SpatRasters from terra. mapsio is a wrapper around isoband.	https://github.com/riatelab/mapiso
simodels The goal of {simodels} is to provide a simple, tidy, and flexible framework for developing spatial interaction models (SIMs). SIMs estimate the amount of movement between spatial entities and can be used for many things, including to support evidence-based investment in sustainable transport infrastructure and prioritisation of location options for public services.	https://github.com/Robinlovelace/simodels
waywiser The waywiser R package makes it easier to measure the performance of models fit to 2D spatial data by implementing a number of well-established assessment methods in a consistent, ergonomic toolbox; features include new yardstick metrics for measuring agreement and spatial autocorrelation, functions to assess model predictions across multiple scales, and methods to calculate the area of applicability of a model. Моделирование геоданных + атокорреляция (Moran’s I).	https://github.com/mikemahoney218/waywiser https://mikemahoney218.github.io/waywiser/
spdep A collection of functions to create spatial weights matrix objects from polygon contiguities, from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial autocorrelation, including global Morans I and Gearys C	https://r-spatial.github.io/spdep/
gdistance gdistance provides classes and functions to calculate various distance measures and routes in heterogeneous geographic spaces represented as grids. Least-cost distances as well as more complex distances based on (constrained) random walks can be calculated. Also the corresponding routes or probabilities of passing each cell can be determined. The package implements classes to store the data about the probability or cost of transitioning from one cell to another on a grid in a memory-efficient sparse format. These classes make it possible to manipulate the values of cell-to-cell movement directly, which offers flexibility and the possibility to use asymmetric values. The novel distances implemented in the package are used in geographical genetics (applying circuit theory), but may also have applications in other fields of geospatial analysis.	https://agrdatasci.github.io/gdistance/index.html
landscapemetrics landscapemetrics is a R package for calculating landscape metrics for categorical landscape patterns in a tidy workflow. It also allows for calculations of four theoretical metrics of landscape complexity: a marginal entropy, a conditional entropy, a joint entropy, and a mutual information.	https://r-spatialecology.github.io/landscapemetrics/index.html
WhiteboxTools WhiteboxTools is an advanced geospatial data analysis platform created by Prof. John Lindsay at the University of Guelph’s Geomorphometry and Hydrogeomatics Research Group (GHRG).	https://www.whiteboxgeo.com/manual/wbt_book/preface.html
roughsf Using the java script library rough.js to draw sketchy, hand-drawn-like maps (Checkout ggrough for turning general ggplot objects into sketchy drawings and roughnet for networks)	https://github.com/schochastics/roughsf
tidyterra The goal of {tidyterra} is to provide common methods of the tidyverse packages for objects created with the {terra} package: SpatRaster and SpatVector. It also provides geoms for plotting these objects with {ggplot2}.	https://dieghernan.github.io/202205_tidyterra/
sits {sits} is an open source R package for satellite image time series analysis.	https://github.com/e-sensing/sits
mlr3spatiotempcv {mlr3spatiotempcv} makes use of {plotly} to create the 3D plots for visualizing spatiotemporal folds created via the CLUTO algorithm. Arranging multiple 3D plots in {plotly} is done via 3D subplots.	https://mlr3spatiotempcv.mlr-org.com/articles/spatiotemp-viz.html
climetrics climetrics is an extensible and reproducible R package to spatially quantify and explore multiple dimensions of climate change.	https://github.com/shirintaheri/climetrics
rayvista rayvista is an R package providing a small plugin for the fabulous {rayshader} package. It provides a single main function plot_3d_vista which allows the user to create a 3D visualisation of any location on earth. It is reliant on two other brilliant packages: {maptiles} and {elevatr}.	https://github.com/h-a-graham/rayvista https://github.com/PennMUSA/MasterClass2019_3DMappingAndViz
globe4r Interactive globes for R via globe.gl. Интерактивный глобус.	https://globe4r.john-coene.com/index.html
accessibility {accessibility} offers a set of fast and convenient functions to calculate multiple transport accessibility measures.	https://ipeagit.github.io/accessibility/
rivnet An R-package allowing seamless extraction of river networks from Digital Elevation Models data..	https://lucarraro.github.io/rivnet/
Leaflet
leaflegend Recipes	https://roh.engineering/posts/2022/07/leaflegend-recipes/
leafdown The leafdown package provides drilldown functionality for leaflet choropleths in R Shiny apps.	https://hoga-it.github.io/leafdown/articles/Multilevel.html
leaflet.minicharts Minicharts for dynamic {leaflet} maps.	https://github.com/rte-antares-rpackage/leaflet.minicharts
Shiny and dashboards
Awesome Shiny Extensions	https://github.com/nanxstats/awesome-shiny-extensions
shinysurveys: Easily Create and Deploy Surveys in Shiny {shinysurveys} provides easy-to-use, minimalistic code for creating and deploying surveys in Shiny. Originally inspired by Dean Attali’s shinyforms, our package provides a framework for robust surveys, similar to Google Forms, in R with Shiny.	https://github.com/jdtrat/shinysurveys
Shiny UI Editor A visual tool for building the UI portion of a Shiny application that generates clean and human-readable code.	https://rstudio.github.io/shinyuieditor/
shinyMobile Develop outstanding {shiny} apps for iOS, Android, desktop as well as beautiful {shiny} gadgets. {shinyMobile} is built on top of the latest Framework7 template.	https://github.com/RinteRface/shinyMobile
dashboard-builder building shiny dashboards	https://github.com/petergandenberger/dashboard-builder
designer {designer} has the ability to build {bs4Dash} dashboard pages and show custom CSS	https://ashbaldry.shinyapps.io/designer/
ggplot2
ggdist Visualizations of Distributions and Uncertainty	https://mjskay.github.io/ggdist/reference/index.html
ggdensity {ggdensity} extends ggplot2 providing more interpretable visualizations of density estimates based on highest density regions (HDRs).	https://github.com/jamesotto852/ggdensity
ggblend Visualizations of scatterplot with overlaps	https://mjskay.github.io/ggblend/
ggmagnify ggmagnify creates a magnified inset of part of a ggplot object. Borders can be drawn around the target area and the inset, along with projection lines from one to the other.	https://github.com/hughjonesd/ggmagnify
ggstatplot {ggplot2} Based Plots with Statistical Details	https://indrajeetpatil.github.io/ggstatsplot/?utm_source=Data_Elixir&utm_medium=social
ggsignif This package provides an easy way to indicate if two groups are significantly different.	https://const-ae.github.io/ggsignif/
ggfx The ggfx package is a way to gain access to pixel-level image filters in R plotting, especially when plotting with ggplot2. image blur	https://ggfx.data-imaginist.com/articles/ggfx.html
ggrough ggrough is an R package that converts your ggplot2 plots to rough/sketchy charts, using the excellent javascript roughjs library.	https://xvrdm.github.io/ggrough/
roughnet Using the java script library rough.js to draw sketchy, hand-drawn-like networks. (Checkout ggrough for turning general ggplot objects into sketchy drawings)	http://roughnet.schochastics.net/
ggparty ggplot2 visualizations for the partykit package (trees with regression subplots).	https://github.com/martin-borkovec/ggparty
ggwrap {ggwrap} wraps a {ggplot2} plot over multiple rows, to make plots with long x axes easier to read. Добавляет градиент для временных рядов в {ggplot}.	https://github.com/wilkox/ggwrap
ggokabeito ggokabeito provides ggplot2 and ggraph scales to easily use the discrete, colorblind-friendly ‘Okabe-Ito’ palette in your data visualizations.	https://malcolmbarrett.github.io/ggokabeito/index.html
trelliscopejs Trelliscope is a visualization approach based on the idea of “small multiples” or Trellis Display, where data are split into groups and a plot is made for each group, with the resulting plots arranged in a grid.	https://hafen.github.io/trelliscopejs/index.html
swipeR Carousels in R.	https://github.com/stla/swipeR
MetBrewer Palettes inspired by works at the Metropolitan Museum of Art in New York. Pieces selected come from various time periods, regions, and mediums. палитры на основе картин!	https://github.com/BlakeRMills/MetBrewer
camcorder {camcorder} is an an R package to track and automatically save graphics generated with ggplot2 that are created across one or multiple sessions with the eventual goal of creating a GIF showing all the plots saved sequentially during the design process.	https://thebioengineer.github.io/camcorder/index.html
табличные даные и оформление таблиц
tabyls: a tidy, fully-featured approach to counting things Таблицы с процентовками.	https://cran.r-project.org/web/packages/janitor/vignettes/tabyls.html
gtsummary Provides an elegant and flexible way to create publication-ready analytical and summary tables using the R programming language.	https://www.danieldsjoberg.com/gtsummary/
gtExtras The goal of {gtExtras} is to provide some additional helper functions to assist in creating beautiful tables with {gt}.	https://cran.r-project.org/web/packages/gtExtras/readme/README.html
reactablefmtr The {reactablefmtr} package streamlines and enhances the styling and formatting of tables built with the {reactable} R package. The {reactablefmtr} package provides many conditional formatters that are highly customizable and easy to use.	https://kcuilla.github.io/reactablefmtr/index.html
dm Are you using multiple data frames or database tables in R? Organize them with {dm}.	https://cynkra.github.io/dm/
crosstable Crosstable is a package centered on a single function, crosstable, which easily computes descriptive statistics on datasets. It can use the tidyverse syntax and is interfaced with the package officer to create automatized reports.	https://danchaltiel.github.io/crosstable/
pointblank With the pointblank package it’s really easy to methodically validate your data whether in the form of data frames or as database tables. On top of the validation toolset, the package gives you the means to provide and keep up-to-date with the information that defines your tables.	https://github.com/rich-iannone/pointblank https://www.infoworld.com/article/3693329/create-a-free-data-dictionary-with-r.html
tidytable tidytable is a data frame manipulation library for users who need data.table speed but prefer tidyverse-like syntax.	https://markfairbanks.github.io/tidytable/
nplyr {nplyr} is a grammar of nested data manipulation that allows users to perform dplyr-like manipulations on data frames nested within a list-col of another data frame. Most dplyr verbs have nested equivalents in nplyr.	https://github.com/markjrieke/nplyr https://cran.r-project.org/web/packages/nplyr/vignettes/Use-case-for-nplyr.html
R Markdown & Quarto
postcards Create simple, beautiful personal websites and landing pages using only R Markdown.	https://github.com/seankross/postcards
Steve’s R Markdown Templates stevetemplates is an R package to help you create lovely R Markdown documents, primarily for conversion to LaTeX PDFs.	https://github.com/svmiller/stevetemplates
posterdown Posters in R Markdown built on a LaTeX format.	https://github.com/math-mcshane/posterdownLaTeX
fusen {fusen} inflates a Rmarkdown file to magically create a package.	https://github.com/Thinkr-open/fusen/
officer The officer package lets R users manipulate Word (.docx) and PowerPoint (*.pptx) documents. In short, one can add images, tables and text into documents from R. An initial document can be provided; contents, styles and properties of the original document will then be avai & Quartolable.	https://davidgohel.github.io/officer/
babelquarto The goal of babelquarto is to render a Quarto multilingual book structured like the rOpenSci dev guide: each qmd is present once for the main language, and once more for each other language with an extension à la .es.qmd	https://docs.ropensci.org/babelquarto/
презентации
flipbookr “Flipbooks” present side-by-side, aligned, incremental code-output evolution via automated code parsing and reconstruction. Like physical flipbooks, they let the ‘reader’ watch a scene evolve at their own pace.	https://evamaerey.github.io/flipbookr/
xaringanExtra Extras for xaringan	https://www.garrickadenbuie.com/blog/xaringanextra-v0.6.0/
ML and modeling
vetiver The goal of vetiver is to provide fluent tooling to version, share, deploy, and monitor a trained model	https://vetiver.rstudio.com/
nbdev with Jupyter Notebooks. Write, test, document, and distribute software packages and technical articles — all in one place, your notebook.	https://nbdev.fast.ai/
workflowsets The goal of workflowsets is to allow users to create and easily fit a large number of models. workflowsets can create a workflow set that holds multiple workflow objects. These objects can be created by crossing all combinations of preprocessors (e.g., formula, recipe, etc) and model specifications. This set can be tuned or resampled using a set of specific functions.	https://workflowsets.tidymodels.org/index.html
tidyfit tidyfit is an R-package that facilitates and automates linear and nonlinear regression and classification modeling in a tidy environment. The package includes methods such as the Lasso, PLS, time-varying parameter or Bayesian model averaging regressions, and many more.	https://tidyfit.unchartedml.com/
tidyclust The goal of tidyclust is to provide a tidy, unified interface to clustering models. The packages is closely modeled after the parsnip package.	https://emilhvitfeldt.github.io/tidyclust/index.html
marginaleffects Compute and plot adjusted predictions, contrasts, marginal effects, and marginal means for 68classes of statistical models in R. Conduct linear and non-linear hypothesis tests using the delta method.	https://vincentarelbundock.github.io/marginaleffects/index.html
easystats easystats is a collection of R packages, which aims to provide a unifying and consistent framework to tame, discipline, and harness the scary R statistics and their pesky models.	https://easystats.github.io/easystats/
nestedmodels The goal of nestedmodels is to allow the modelling of nested data. Some models only accept certain predictors. For panel data, it is often desirable to create a model for each panel.	https://ashbythorpe.github.io/nestedmodels/
time series
tidyverts Tidy tools for time series	https://tidyverts.org/
ts2net ts2net is an R package to transform one or multiple time series into networks. This transformation is useful to model and study complex systems, which are commonly represented by a set of time series extracted from the small parts that compose the system.	https://github.com/lnferreira/ts2net
TSstudio The TSstudio package provides a set of tools descriptive and predictive analysis of time series data. That includes utility functions for preprocessing time series data, interactive visualization functions based on the plotly package engine, and set of tools for training and evaluating time series forecasting models from the forecast, forecastHybrid, and bsts packages.	https://ramikrispin.github.io/TSstudio/
деревья
data.tree Trees	https://cran.r-project.org/web/packages/data.tree/vignettes/data.tree.html
TreeDist Calculate tree similarity	https://cran.r-project.org/web/packages/TreeDist/vignettes/Using-TreeDist.html
vtree A flexible R package for displaying nested subsets of a data frame.	https://nbarrowman.github.io/vtree
работа с данными
santoku A versatile cutting tool for R	https://hughjonesd.github.io/santoku/index.html
faux Simulate from Existing Data	https://debruine.github.io/faux/articles/sim_df.html
datefixR datefixR standardizes dates in different formats or with missing data: for example dates which have been provided from free text web forms.	https://docs.ropensci.org/datefixR/index.html
Python and Julia
suiba (Python) siuba (小巴) is a port of dplyr and other R libraries. It supports a tabular data analysis workflow.	https://github.com/machow/siuba
Polars (Python) Lightning-fast DataFrame library for Rust and Python.	https://www.pola.rs/
geemap (Python) A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.	https://github.com/giswqs/geemap
TidyTable.jl (Julia) This is a project that wraps the {tidytable} package in R, which provides {tidyverse} bindings to the lightning-fast {data.table} package. Unlike other DataFrames packages and meta-packages in Julia, this package allows you to provide syntax exactly as you would write it in tidyverse.	https://github.com/kdpsingh/TidyTable.jl
Tidier.jl (Julia) Tidier.jl is a 100% Julia implementation of the R tidyverse mini-language in Julia. Powered by the DataFrames.jl package and Julia’s extensive meta-programming capabilities, Tidier.jl is an R user’s love letter to data analysis in Julia.	https://kdpsingh.github.io/Tidier.jl/dev/
работа с текстом
text An R-package for analyzing natural language with transformers from HuggingFace using Natural Language Processing and Machine Learning.	https://r-text.org/
unglue The package unglue features functions such as unglue(), unglue_data() and unglue_unnest() which provide in many cases a more readable alternative to base regex functions. Simple cases indeed don’t require regex knowledge at all.	https://github.com/moodymudskipper/unglue
text2vec text2vec is an R package which provides an efficient framework with a concise API for text analysis and natural language processing (NLP).	https://text2vec.org/index.html
разное
datadrivencv The goal of datadrivencv is to ease the burden of maintaining a CV by separating the content from the output by treating entries as data. (Красивые CV.)	https://github.com/nstrayer/datadrivencv
namedropR provides ‘visual citations’ containing the metadata of a scientific paper and a ‘QR’ code.	https://nucleic-acid.github.io/namedropR/index.html
stenR {stenR} is a package tailored mainly for users and creators of psychological questionnaires, though other social science researchers and survey authors can benefit greatly from it.	https://statismike.github.io/stenR/index.html
gpttools The goal of gpttools is to extend gptstudio for R package developers to more easily incorporate use of large language models (LLMs) into their project workflows. (ChatGPT)	https://github.com/JamesHWade/gpttools
gptstudio The goal of gptstudio is for R programmers to easily incorporate use of large language models (LLMs) into their project workflows. These models appear to be a step change in our use of text for knowledge work, but you should carefully consider ethical implications of using these models.	https://michelnivard.github.io/gptstudio/
ggsurvfit The ggsurvfit package eases the creation of time-to-event (aka survival) summary figures with ggplot2. The concise and modular code creates images that are ready for publication or sharing.	https://www.danieldsjoberg.com/ggsurvfit/index.html
marginaleffects Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds ratios, etc.) for over 70 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, as well as equivalence tests using the delta method.	https://vincentarelbundock.github.io/marginaleffects/index.html
Platypus R package for object detection and image segmentation.	https://datascienceguts.com/2020/10/platypus-r-package-for-object-detection-and-image-segmentation/
bslib The bslib R package provides tools for customizing Bootstrap themes directly from R, making it much easier to customize the appearance of Shiny apps & R Markdown documents.	https://rstudio.github.io/bslib/index.html
bib2df Parse a BibTeX file to a tibble.	https://docs.ropensci.org/bib2df/
mailmerge Mail merge from R using markdown documents and gmail.	https://andrie.github.io/mailmerge/
countdown countdown makes it easy to drop in a simple countdown timer in slides and HTML documents written in R Markdown.	https://github.com/gadenbuie/countdown
containerit containerit packages R script/session/workspace and all dependencies as a Docker container by automagically generating a suitable Dockerfile.	https://o2r.info/containerit/
WebR - R in the Browser WebR is a version of the statistical language R compiled for the browser and Node.js using WebAssembly, via Emscripten.	https://docs.r-wasm.org/webr/latest/ https://github.com/coatless/quarto-webr https://rd.thecoatlessprofessor.com/webR-quarto-demos/webr-quarto-html-demo.html https://www.tidyverse.org/blog/2023/03/webr-0-1-0/ https://rud.is/b/2023/03/12/almost-bare-bones-webr-starter-app/ https://github.com/hrbrmstr/webr-experiments https://interactive-lessons.weecology.org/ https://github.com/ethanwhite/datacarp-interactive

Полезные ссылки

Ресурс	Ссылка
Awesome R	https://github.com/qinwf/awesome-R
awesome-r-dataviz	https://krzjoa.github.io/awesome-r-dataviz/
Awesome R Learning Resources	https://github.com/iamericfletcher/awesome-r-learning-resources
Все, везде и сразу	https://github.com/sindresorhus/awesome
R resources (free courses, books, tutorials, & cheat sheets)	https://paulvanderlaken.com/2017/08/10/r-resources-cheatsheets-tutorials-books/
THE GENERATIVE AI LANDSCAPE A Collection of Awesome Generative AI Applications	https://ai-collection.org/
Generate SQL with AI	https://www.text2sql.ai/
What’s new in the tidyverse	https://ivelasq.github.io/2023-03-22_whats-new-in-the-tidyverse/
Cool Infographics	https://coolinfographics.com/dataviz-guides
#rstats [Mastodon]	https://mastodon.cloud/tags/rstats
Color Brewer	https://colorbrewer2.org/
R Color Palettes	https://r-charts.com/color-palettes/
Color palettes generator	https://coolors.co/
Colors for maps	https://mapcolpal.org/
Tol Color Schemes	https://waterdata.usgs.gov/blog/tolcolors/
Dataviz Inspiration	https://www.dataviz-inspiration.com/ https://www.behance.net/search/projects?tools=242165229
bonsai.css A Utility Complete CSS Framework for less than 45kb	https://www.bonsaicss.com/
Carbon Create and share beautiful images of your source code.	https://carbon.now.sh/
Эффективная организация работы в R	https://ubogoeva.github.io/how_to_install_R.html https://telegra.ph/R-how-to-organize-work-08-08
lordicon (анимированные иконки)	https://lordicon.com/icons
Dataviz Inspiration	https://www.dataviz-inspiration.com/
from Data to Viz	https://www.data-to-viz.com/
INFORMATION IS BEAUTIFUL AWARDS	https://www.datavisualizationsociety.org/iib-awards
The NY Times 2022	https://www.nytimes.com/interactive/2022/12/28/us/2022-year-in-graphics.html
Bloomberg: The 2022 year in Graphics	https://www.bloomberg.com/graphics/2022-in-graphics/
The quick BibTeX guide	https://www.bibtex.com/e/entry-types/
ggplot2
Awesome ggplot2	https://github.com/erikgahner/awesome-ggplot2
ggplot2 Theme Elements Reference Sheet	https://isabella-b.com/blog/ggplot2-theme-elements-reference/ https://github.com/isabellabenabaye/ggplot2-reference https://henrywang.nl/ggplot2-theme-elements-demonstration/ https://cmdlinetips.com/2021/05/tips-to-customize-text-color-font-size-in-ggplot2-with-element_text/
Accelerate your plots with ggforce	https://rviews.rstudio.com/2019/09/19/intro-to-ggforce/
Top 50 ggplot2 Visualizations	http://r-statistics.co/Top50-Ggplot2-Visualizations-MasterList-R-Code.html
30 Day Map Challenge (Bob Rudis)	https://rud.is/books/30-day-map-challenge/
Level Up Your Labels: Tips and Tricks for Annotating Plots визуализация в {ggplot2}	https://www.cararthompson.com/talks/user2022?s=03
Quarto and R Markdown
A Quarto a tip a day	https://mine-cetinkaya-rundel.github.io/quarto-tip-a-day/
GitHub quartopub	https://github.com/topics/quartopub
Quarto tips I’ve found around the Web	https://apps.machlis.com/shiny/quartotips/
Quarto social embeds (Twitter, YouTube etc.)	https://github.com/sellorm/quarto-social-embeds
RMarkdown/Quarto Tips and Tricks	https://indrajeetpatil.github.io/RmarkdownTips/
R Markdown Tips, Tricks, and Shortcuts	https://www.dataquest.io/blog/r-markdown-tips-tricks-and-shortcuts/
Creating your personal website using Quarto	https://ucsb-meds.github.io/creating-quarto-websites/
Publish/Deploy Quarto Documents/Projects as a Docker Container	https://github.com/mcanouil/quarto-publish-docker
Let’s make maps with bertin.js in Quarto	https://neocarto.github.io/bertin/examples/quarto.html
Quarto Experiments	https://jimjam-slam.github.io/quarto-experiments/
6 Productivity Hacks for Quarto	https://www.rstudio.com/blog/6-productivity-hacks-for-quarto/
Letterbox theme for Quarto (this style is inspired of xaringan)	https://github.com/EmilHvitfeldt/quarto-letterbox
How to Format Citations and Bibliographies in RStudio with CiteDrive and Quarto	https://bibtex.eu/blog/how-to-format-citations-and-bibliographies-in-rstudio-with-citedrive-and-quarto/
Porting a distill blog to quarto	https://blog.djnavarro.net/posts/2022-04-20_porting-to-quarto/
Render parameterized reports with Quarto	https://www.jhelvy.com/posts/2023-02-28-parameterized-pdfs-with-quarto/
MyST - Markedly Structured Text	https://myst-parser.readthedocs.io/en/latest/index.html
GOSTdown Набор шаблонов и скриптов для автоматической вёрстки электронной документации по ГОСТ 19.xxx (ЕСПД) и ГОСТ 7.32 (отчёт о научно-исследовательской работе) в форматах docx. Исходными данными при создании docx являются текстовые файлы формата .md (Markdown) и .bib (BibTeX). Также из docx производятся PDF-файлы.	https://github.com/NazarovKI/gostdown
rspatial
CRAN Task View: Analysis of Spatial Data	https://cran.r-project.org/web/views/Spatial.html
Terrain Tiles (растровые карты)	https://registry.opendata.aws/terrain-tiles/
Spatial Data Science with R (terra & raster)	https://rspatial.org/terra
Maps and Geographical Data	http://homepage.stat.uiowa.edu/~luke/classes/STAT4580-2022/maps.html
Making maps with R	https://www.paulamoraga.com/tutorial-maps/
Drawing waterlines with ggplot2 in R	https://brunomioto.com/posts/waterlines.html
Maps following the #MapPromptMonday weekly mapping project	https://github.com/jmcastagnetto/my_map_prompt_monday/tree/main
Maps with {shiny}	https://www.spsanderson.com/steveondata/posts/rtip-2023-05-04/index.html
Tidy storm trajectories	https://r-spatial.org/r/2017/08/28/nest.html
Accessing elevation data in R with the elevatr package (растровые карты высот)	https://cran.r-project.org/web/packages/elevatr/vignettes/introduction_to_elevatr.html
Sea level rising in Hong Kong затопления в Гонконге	https://github.com/KHwong12/sea-level-rising-HK
Introduction to Geospatial Raster and Vector Data with R: References	https://uw-madison-datascience.github.io/r-raster-vector-geospatial/reference/
Mapping Raster Data in the Tidyverse	https://rpubs.com/timothyfraser/mapping_raster_data_in_the_tidyverse
Creating presence-absence rasters in 2022	https://amywhiteheadresearch.wordpress.com/2022/04/19/creating-presence-absences-rasters-in-2022/
Spatial Feature Engineering for Geomarketing	https://github.com/Denikozub/Geomarketing
Kriging examples	https://github.com/gkaramanis/tidytuesday/tree/master/2022/2022-week_51 https://github.com/michael-millett/tidy-tuesday/tree/main/2022/12-20
FAIRE DES CARTOGRAMS DANS R	https://transcarto.github.io/rcartograms/TRANSCARTO_cartograms.html
Travel time calculation with R and data visualization with Observable	https://rysebaert.github.io/climbing_paris/
Using R for Spatial Data Analysis	https://michaeldorman.github.io/R-Spatial-Workshop-at-CBS-2021/main.html#Setup:_sample_data
desCartes recognises roads on old maps, and converts them to vector lines that can be used in GIS applications and historical transport network analysis.	https://github.com/docuracy/desCartes
Workshop: Getting started with R and R-spatial	https://bakaniko.github.io/foss4g2022-getting-started-rspatial/index.html
Multiple colour scales in choropleth maps with {ggnewscale} карта Австралии	https://labs.ala.org.au/posts/2022-05-23-ggnewscale/?s=03
Convex and alpha hulls	https://labs.ala.org.au/posts/2022-10-12_alpha-hulls/ https://stackoverflow.com/questions/71393563/creating-polygons-from-sparse-data-in-r https://babichmorrowc.github.io/post/2019-03-18-alpha-hull/
OSRM Travel-time calculation with R and data visualization with Observable	https://rysebaert.github.io/climbing_paris/
Plotting spatial neighbors in ggplot2 (How to visualize spatial neighbors using ggplot2, spdep, and sf.) Правило ферзя	https://mbjoseph.github.io/posts/2018-12-27-plotting-spatial-neighbors-in-ggplot2/
StreetComplete is an easy to use editor of OpenStreetMap data available for Android.	https://github.com/streetcomplete/StreetComplete
OpenStreetMap (OSM) Road Surface Classifier	https://github.com/jdalrym2/road_surface_classifier
JuliaGeo JuliaGeo is an organization that contains a number of related Julia projects for manipulating, querying, and processing geospatial geometry data. We aim to provide a common interface between geospatial packages.	https://juliageo.org/
Plotting rasters The ‘raster’ package has a plot method for Raster objects that has many options to customise the plot. Unfortunately the documentation is in two places, and some arguments are not documented at all. Here the arguments which you can use when plotting a RasterLayer object are covered.	https://mmeredith.net/blog/2019/plotting_rasters.htm
geospatial-learning Resources related to geospatial analysis in (mostly) R.	https://github.com/spcanelon/geospatial-learning
Fire Risk Analysis using QGIS	https://dges.carleton.ca/CUOSGwiki/index.php/Fire_Risk_Analysis_using_QGIS
ESRI: Disaster Response Program	https://www.esri.com/en-us/disaster-response/overview
Данные о природных пожарах в вашей Веб ГИС (NextGIS)	https://nextgis.ru/blog/ngw_fires/
Nature Geoscience	https://www.nature.com/ngeo/research-articles
ML and modeling
Machine_Learning_exercises	https://github.com/anastazijaverovic/Machine_Learning_Algorithms_R
Experimenting with machine learning in R with tidymodels and the Kaggle titanic dataset	https://oliviergimenez.github.io/blog/learning-machine-learning/
Binary image classification using Keras in R: Using CT scans to predict patients with Covid	https://oliviergimenez.github.io/blog/image-classif/
Tinker With a Neural Network Right Here in Your Browser	https://playground.tensorflow.org/
Python and Julia
Getting started with Python using R and reticulate	https://rtichoke.netlify.app/post/getting_started_with_reticulate/
Python and R Tips	https://cmdlinetips.com/
JuliaGeo JuliaGeo is an organization that contains a number of related Julia projects for manipulating, querying, and processing geospatial geometry data. We aim to provide a common interface between geospatial packages.	https://juliageo.org/
Text
Regular Expressions	https://regex101.com/
Анализ текстов в R	https://agricolamz.github.io/2020.11.01_appcogn_text_analysis/
misc
Setting Up Docker-Compose for ShinyProxy	https://github.com/kassambara/shinyproxy-config
Шпаргалка по Docker	https://devops.org.ru/docker-summary
GitHub Actions for the R language	https://github.com/r-lib/actions
API as a package: Testing	https://www.jumpingrivers.com/blog/api-as-a-package-testing/
How to customize Mac terminal with open source tools (iTerm2, Oh My Zsh, and Powerlevel10k)	https://opensource.com/article/20/8/iterm2-zsh
23 RStudio Tips, Tricks, and Shortcuts	https://www.dataquest.io/blog/rstudio-tips-tricks-shortcuts/
VSCode vs RStudio — Worth the switch?	https://karatsidhu.medium.com/vscode-vs-rstudio-worth-the-switch-7a4415fc3275
VSCode Snippets for R and R Markdown	https://github.com/SidhuK/r-vscode-snippets
SlidesGo: Free Google Slides and PowerPoint templates to boost your presentations	https://slidesgo.com/
Design your own beautiful brand Use Looka’s AI-powered platform to design a logo and build a brand.	https://looka.com/
Questionnaires and Surveys: Analyses with R	https://slcladal.github.io/surveys.html
How to Generate Word Docs in Shiny with officer, flextable, and shinyglide	https://appsilon.com/generating-word-documents-from-table-data-in-shiny/
Frustration: One Year With R	https://github.com/ReeceGoding/Frustration-One-Year-With-R
Психология: 39 исследований человеческого восприятия	https://awdee.ru/psychology-39-studies-of-human-perception/
Financial Times Visual Vocabulary	https://github.com/Financial-Times/chart-doctor/tree/main/visual-vocabulary
LearningApps.org создан для поддержки обучения и преподавания с помощью небольших общедоступных интерактивных модулей (далее - упражнений). Данные упражнения создаются онлайн и в дальнейшем могут быть использованы в образовательном процессе.	https://learningapps.org/
Winners of the 2022 Table Contest	https://posit.co/blog/winners-of-the-2022-table-contest/
Reference guide for commonly used functions in education research data wrangling	https://github.com/Cghlewis/data-wrangling-functions/wiki
Creating Standalone Apps from Shiny with Electron [2023, macOS M1]	https://r-posts.com/creating-standalone-apps-from-shiny-with-electron-2023-macos-m1/

Видеоблоги

Ресурс	Ссылка
David Robinson Tidy Tuesday	https://www.youtube.com/user/safe4democracy
Julia Silge	https://www.youtube.com/JuliaSilge/
Andrew Couch	https://www.youtube.com/c/AndrewCouch
Milos Popovic Makes Maps	https://www.youtube.com/@milos-makes-maps
Kelsey Gonzalez	https://www.youtube.com/c/KelseyGonzalez
Shiny Developer Series	https://www.youtube.com/c/ShinyDeveloperSeries
Business Science	https://www.youtube.com/@BusinessScience
Lander Analytics	https://www.youtube.com/channel/UC2-hKemnrmVCH_29duyJ26A
Rstudio	https://www.youtube.com/c/RStudioPBC
R4DS Online Learning Community	https://www.youtube.com/c/R4DSOnlineLearningCommunity
Spatial network analysis with the {sfnetworks} package	https://youtu.be/2cCXUYgEtGw
R4marketing	https://www.youtube.com/@R4marketing
Основы программирования для географов	https://www.youtube.com/channel/UC99_v_T0CTEsYiY2O6YsvOA
Artem Golubnichy	https://www.youtube.com/channel/UCLIphG_4eXZqf4C6VBg8pUw/videos
The Data Thread	https://www.youtube.com/c/TheDataThread

Tidy Tuesday Dataviz

Ресурс / имя	адрес
Cédric Scherer	https://github.com/z3tt/TidyTuesday/tree/main/plots
Georgios Karamanis	https://github.com/gkaramanis/tidytuesday
Jake Kaupp	https://github.com/jkaupp/tidytuesdays
Jenn Schilling	https://github.com/jennschilling/tidytuesday-2021 https://github.com/jennschilling/tidytuesday-2022
Maia Pelletier	https://github.com/MaiaPelletier/tidytuesday
Tanya Shapiro	https://github.com/tashapiro

Курсы

Курс	адрес
Supervised Machine Learning: Case Studies in R	https://supervised-ml-course.netlify.app/
Get Started with Tidymodels	https://www.tidymodels.org/start/
Coding for Data Analysis with R	https://github.com/gabors-data-analysis/da-coding-rstats#sources
Claus O. Wilke Data Visualization in R	https://wilkelab.org/SDS375/syllabus.html
Мастер-класс от ИНИД “Как построить карту, используя R и QGIS”	https://github.com/Irrrkah/russia_population_mk
Автоматизированный сбор больших данных в экономико-социологических исследованиях	https://course.rintro.ru/index.html
Data science for economists	https://github.com/uo-ec607/lectures
Course materials for: Geospatial Data Science	https://github.com/mszell/geospatialdatascience
Geospatial Analysis and Representation for Data Science (Python)	https://napo.github.io/geospatial_course_unitn/lessons/
purrr tutorial	https://jennybc.github.io/purrr-tutorial/
Advanced NLP with spaCy	https://course.spacy.io/en/
Use R, ggplot2, and the principles of graphic design to create beautiful and truthful visualizations of data	https://datavizm20.classes.andrewheiss.com/
TOP 100 R TUTORIALS : STEP BY STEP GUIDE	https://www.listendata.com/p/r-programming-tutorials.html
Workshops	https://r.qcbs.ca/Workshops/#english

Наборы данных и хакатоны

Название	адрес
ИНИД	https://data-in.ru/
Tidy Tuesday	https://github.com/rfordatascience/tidytuesday
#30DayMapChallenge Daily social mapping project happening every November	https://github.com/tjukanovt/30DayMapChallenge
NoFireWithAI: прогнозирование степени пожароопасности	https://github.com/sberbank-ai/no_fire_with_ai_aij2021
NoFloodWithAI: прогнозирование паводков на реке Амур	https://github.com/ai-forever/no_flood_with_ai_aij2020
Карта ДТП	https://dtp-stat.ru/opendata
rspatialdata (раздел Tutorials)	https://rspatialdata.github.io/index.html
Emergency DataHack	https://emergencydatahack.ru/
Winning a Flood-Forecasting Hackathon with Hydrology and AutoML	https://towardsdatascience.com/winning-a-flood-forecasting-hackathon-with-hydrology-and-automl-156a8a7a4ede
РИСТАТ	https://ristat.org/
MakeoverMonday	https://www.makeovermonday.co.uk/data/
Dataset Search	https://datasetsearch.research.google.com/
Gapminder	https://www.gapminder.org/data/
Awesome Public Datasets	https://github.com/awesomedata/awesome-public-datasets
Pre-classified data (спутниковые данные)	https://andrewmaclachlan.github.io/CASA0023-lecture-6/?panelset1=data2#6
The goal of the climate R package is to automatize downloading of meteorological and hydrological data from publicly available repositories	https://github.com/bczernecki/climate
Метеоданные	http://meteo.ru/data https://www.ncei.noaa.gov/cdo-web/ https://psl.noaa.gov/data/gridded/data.cpc.globaltemp.html
10 Free GIS Data Sources: Best Global Raster and Vector Datasets	https://gisgeography.com/best-free-gis-data-sources-raster-vector/
30 самых крупных датасетов для машинного обучения в TensorFlow	https://telegra.ph/30-samyh-krupnyh-datasetov-dlya-mashinnogo-obucheniya-v-TensorFlow-11-25
RoadDetections: Bing Maps is releasing mined roads around the world. We have detected 47.8M km of all roads and 1165K km of roads missing from OSM. Mining is performed with Bing Maps imagery between 2020 and 2022 including Maxar and Airbus.	https://github.com/microsoft/RoadDetections

Shiny Examples

Название	адрес
Hastings Half-Marathon	https://matt-dray.github.io/hastings-half/
Unravel data manipulation examples	https://nshrest.shinyapps.io/datawhats/
Announcing new R Shiny UI components	https://shiny.rstudio.com/blog/announcing-new-r-shiny-ui-components.html

Презентации

Название	адрес
Outrageously efficient exploratory data analysis with Apache Arrow and dplyr	https://jthomasmock.github.io/arrow-dplyr/#/
Introduction to R for Social Scientists	https://pittmethods.github.io/r4ss/
Tidyverse and ML
Introduction to the Tidyverse data manipulation	https://oliviergimenez.github.io/reproducible-science-workshop/slides/3_dplyr.html
Tidymodels, Virtually (Alison Hill)	https://www.apreshill.com/blog/2020-06-how-i-taught-tidymodels-virtually/
Applied Machine Learnring (Max Kuhn)	https://rstudio-conf-2020.github.io/applied-ml/README.html
Having a purrr-tastic time (Emil Hvitfeldt)	https://emilhvitfeldt.github.io/talk-purrr-ocrug-2023/#/section
Machine learning with tidymodels	https://workshops.tidymodels.org/
Improving text preprocessing using textrecipies (Emil Hvitfeldt)	https://emilhvitfeldt.github.io/useR2022-textrecipes/#/section
Table data
Introduction to {gt} + {gtsummary} Packages	http://www.danieldsjoberg.com/gt-and-gtsummary-presentation/
ggplot2
Designing ggplots	https://designing-ggplots.netlify.app/#1
CÉDRIC SCHERER [Selected Presentations]	https://www.cedricscherer.com/top/about/#presentations https://z3tt.github.io/hands-on-ggplot2/ https://z3tt.github.io/hands-on-ggplot2/slides/04-annotation.html#1
rspatial
Jittering and routing options for converting origin-destination data into route networks (Robin Lovelace)	https://www.robinlovelace.net/presentations/its-jittering.html
sfnetworks: Tidy Geospatial Networks in R	https://sfnetworks.github.io/foss4g-workshop/slides/slides#1
Geocomputation with R’s guide to reproducible spatial data analysis	http://jakubnowosad.com/ogh2022/#/title-slide
Coordinate reference systems	https://rsbivand.github.io/csds_jan23/csds_crs_workshop_230119.html
R Markdown and presentations
Extraordinary slides using xaringanExtra	https://xeurmia.netlify.app/?panelset1=panel-12#1
Authoring Websites, Documents, and more with RMarkdown	https://afredston.github.io/markdown-sortee/#1
Quarto
Quarto as Reveal.js Slides	https://jeremy-allen.github.io/quarto-demo/#/
From R Markdown to Quarto [workshop]	https://rstudio-conf-2022.github.io/rmd-to-quarto/
Quarto for the curious	https://thomasmock.quarto.pub/quarto-curious/
NYC Data Hackers Democratizing Data Science Teams With Quarto (boB Rudis)	https://hrbrmstr.github.io/2022-10-nycdh/2022-10-nydh.html
Having fun with iFrames (Quarto) (Emil Hvitfeldt)	https://emilhvitfeldt.github.io/quarto-iframe-examples/
Quarto: create beautiful documents with R, Python, Julia and Observable (Runapp 2022 talk)	https://runapp2022.talks.jamesgoldie.dev/ https://github.com/jimjam-slam/talk-runapp-quarto-2022

Meetups

Название	адрес
R meetups (Russian)	https://meetups.rintro.ru/
New York Open Statistical Programming Meetup	https://nyhackr.org/past-talks
R-Ladies Freiburg	https://github.com/rladies/meetup-presentations_freiburg https://www.youtube.com/playlist?list=PLPwprT5wdzX7NVDl4oYQ7c2_6ox0_1fyr
Running code while we’re sleeping: Introduction to GitHub Actions for R Users by Beatriz Milz	https://youtu.be/ZANp3oqcH_0 https://beatrizmilz.github.io/2022-gha-rladies-abuja/speaker.html