Resources
This carefully curated collection of resources will help you find packages and learning resources to help you on your R journey.
Time Series Data Sets
The timeSeriesDataSets package in R offers an extensive collection of time series datasets from diverse fields such as economics, finance, energy, and healthcare. Aimed to facilitate time series analysis, the datasets include suffixes for easy identification. For instance, AirPassengers_ts represents monthly airline passenger numbers, while taylor_30_min_df_ts indicates half-hourly electricity demand. Users can install the package from CRAN and access datasets using simple commands. This package is valuable for those seeking structured time series data for research or analysis in various domains.
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Tips for debugging and cleaning broken code
This guide provides strategies for debugging and cleaning broken R code, specifically in a data visualization context using 'dplyr' and 'ggplot2'. It helps identify common mistakes in function chaining and plot layering, offering tips on how to spot and fix errors such as misspelled words or misplaced punctuation. The article illustrates the debugging process using an example with incorrect R code, followed by the corrected version. The guide emphasizes the importance of code formatting and reindenting for troubleshooting, making the debugging process less daunting.
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tmap
A tutorial to get started with the tmap package in R for creating thematic maps.
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Transform data for easier multi-column tables
Andrew Weatherman's tutorial provides a step by step guide on transforming data into a wide format to facilitate the creation of intuitive multi-column tables in R using the gt package. It shows how to apply a "538-style" caption to add visual clarity to average team performance statistics against top 100 opponents in men's college basketball over the past five seasons. The tutorial includes detailed explanation of the data manipulation process and the R code needed to produce a visually appealing and informative table.
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Transform Google Docs into Quarto Books with {quartificate}
The 'quartificate' package is designed to convert Google Documents into Quarto books, facilitating the transition from a simple document to a structured and maintainable book format. It streamlines the process by exporting the document into a Docx file, converting it to Markdown via Pandoc, and then sectioning it into HTML chapters based on header levels. This enables users to easily manage and render their content as a Quarto book. The package also provides seamless integration with Googledrive for authentication and document retrieval, and offers a quick start to render and view the book using the 'servr' package.
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TSA Screening Volume and Epiweeks
This content showcases a visualization of TSA screening volumes compared to Subway ridership, particularly amidst the pandemic's impact. It involves data aggregation challenges, like determining weekly counts from daily data, which can be skewed at year's end. The author addresses these issues using R code and TSA data available since January 2019, presenting a more detailed view of travel patterns over time and emphasizing the importance of careful handling of time-series data when aggregating by weeks, using ISO-8601 date format for this purpose.
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tvthemes
The tvthemes package is a collection of various ggplot2 themes and color/fill palettes based on popular TV shows.
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UNHCR Dataviz Platform - Aim of better data storytelling
The UNHCR Data Visualization Platform provides insights, guidelines, and tools designed to improve data storytelling. With a vast chart gallery, users can select charts to effectively showcase data and highlight specific attributes and relationships. The UNHCR Data Visualization Guidelines offer clear, brand-compliant advice for professional graphics. The platform supplies various tools, templates, and scripts compatible with Excel, Power BI, Adobe Illustrator, R, Python, D3, and GIS, aiding in the creation of high-quality visualizations. Additionally, a collection of storymaps, dashboards, and infographics serves as inspiration for crafting compelling data narratives.
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unheadr
unheadr is an R package that helps wrangle data when it has embedded subheaders or broken values. It provides functions to untangle embedded subheaders and fix values that are broken across multiple rows.
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urbanmapr
The urbnmapr package provides state and county shapefiles in tibble format that are compatible with mapping using ggplot2. It includes shapefiles for Alaska and Hawaii, transformed to be displayed as insets within the continental United States. The package uses shapefiles from the US Census Bureau and converts them to sf format. It also adds various identifiers for merging data and includes options to add territories to the state and county maps.
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Use dumbbell plots instead of paired bar charts in 130 seconds - YouTube
This YouTube video discusses the use of dumbbell plots as an alternative to paired bar charts.
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