Tips and tricks for working with images and figures in R Markdown documents

Writing reports in R Markdown allows you to skip painful and error-prone copy-paste in favor of dynamically-generated reports written in R and markdown that are easily reproducible and updateable. R Markdown reports that are heavy on graphs and maps, though, can yield large HTML files that are not optimized for web viewing. R Markdown offers […]

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Using the new R package, FedData, to access federal open datasets (including interactive graphics)

The FedData package (created by R. Kyle Bocinsky) is a great new R package that provides easy access to some important federal datasets. The package is well-designed and provides functions to download climate, elevation, hydrography and other data for your area of interest. The following five sources of data are currently available for download with […]

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Scrape website data with the new R package rvest (+ a postscript on interacting with web pages with RSelenium)

Copying tables or lists from a website is not only a painful and dull activity but it's error prone and not easily reproducible. Thankfully there are packages in Python and R to automate the process. In a previous post we described using Python's Beautiful Soup to extract information from web pages. In this post we […]

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