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Resources

This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.

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golem

golem is an opinionated framework for building production-grade shiny applications.

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Greenland ice thickness

This resource provides a tutorial on using R to visualize the thickness of Greenland's ice, based on data from Bamber (2001). The data is formatted as a fixed width ASCII file and requires wrangling to be processed with R packages such as terra, readr, dplyr, and tidyr. After cleaning and projecting the data into a suitable format, the resource guides creating both raw and interactive polar stereographic maps. The tutorial includes R code snippets, methods for arranging and visualizing the data with ggplot2 and leaflet, and a discussion on the relevance of ice thickness in Arctic studies.

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Screenshot of gregers kjerulf dubrow - Exploring Happiness - Part 1…EDA

gregers kjerulf dubrow - Exploring Happiness - Part 1…EDA

This text is about exploring happiness and conducting exploratory data analysis using R language. It discusses the World Happiness Report data and the process of importing and cleaning the data in RStudio. The author also mentions using packages like DataExplorer and explorer for EDA. The text provides code snippets for data loading and mentions the use of tidyverse, tidylog, and janitor packages.

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gt

With the gt package, anyone can make wonderful-looking tables using the R programming language.

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gt Workshop 2020!

A workshop to learn lots about the gt R package

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gtExtras

gtExtras is an R package that provides additional helper functions to assist in creating beautiful tables with the gt package.

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gtUtils

gtUtils is an R package designed to augment the capabilities of the 'gt' package, which is used for constructing eye-catching tables in R. It offers a range of themes, color functions, and additional utilities to make the tables more appealing and functional. The package includes features such as border bars and tools to create tier lists. Users can install it from GitHub and get started by consulting the provided vignettes, which include instructions for general use, applying table themes, and more. For further insights and examples, the author also encourages visiting their blog.

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Hadley Wickham @ Posit | Giving benefit to people using what you build | Data Science Hangout - YouTube

A Data Science Hangout interview with Hadley Wickham, discussing the philosophy of giving benefit to people using the tools he builds.

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Hands-on demonstration of {golem}!

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Happy 18th birthday ggplot2!

This content celebrates the 18th birthday of the data visualization package ggplot2, created by Hadley Wickham. It illustrates the significance and widespread appreciation of ggplot2 within the data science community through comments and reactions from various users. Comments highlight how ggplot2 has revolutionized the creation of data plots in R, and the playful puns acknowledge the package's 'maturity' with references to drinking age and bar charts. The community expresses gratitude towards Wickham and his team for their contributions to the R ecosystem.

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Happy Git with R

Happy Git and GitHub for the useR provides instructions on how to install and use Git and GitHub with R and R Markdown. It covers key workflows and demonstrates the synergy between R/R Markdown/RStudio and GitHub. The target audience includes those who use R for data analysis or work on R packages.

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haven

Import and Export SPSS, Stata, and SAS files using the haven package

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