Articles by The Jumping Rivers Blog

Git: Moving from Master to Main

October 19, 2021 | The Jumping Rivers Blog

In June 2020, GitHub announced that is was moving the default branch name from master to the more neutral name, main. GitLab followed suit in a few months later. Tobie Langel makes the salient point on why changing the name is a good thing: So master is not only racist, it’...
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Understanding the Parquet file format

September 27, 2021 | The Jumping Rivers Blog

Apache Parquet is a popular column storage file format used by Hadoop systems, such as Pig, Spark, and Hive. The file format is language independent and has a binary representation. Parquet is used to efficiently store large data sets and has the extension .parquet. This blog post aims to understand ...
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New features in R 4.1.0

May 17, 2021 | The Jumping Rivers Blog

R-4.1.0 is released! Rejoice! A new R release (v 4.1.0) is due on 18th May 2021. Typically most major R releases don’t contain that many new features, but this release does contain some interesting and important changes. This post summarises some of the notable changes introduced. More detail on the changes ...
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Default knitr options and hooks

March 12, 2021 | The Jumping Rivers Blog

This is part four of our four part series Part 1: Specifying the correct figure dimension in {knitr}. Part 2: What image format should you use for graphics. Part 3: Including external graphics in your document Part 4: Setting default {knitr} options (this post). As with many aspects of programming, when you are working ...
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Image sizes in an R markdown Document

February 15, 2021 | The Jumping Rivers Blog

At Jumping Rivers we recently moved our website from WordPress to Hugo. The main reason for the move was that since the team are all very comfortable with Git, continuous integration and continuous development using a static web-site generator made more sense than WordPress. Additional benefits are decreasing the page ...
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Writing a Personal R Package

February 7, 2021 | The Jumping Rivers Blog

If you’ve been using R for a while, you’ve likely accumulated a hodgepodge of useful code along the way. Said hodgepodge might include functions you source into multiple projects; bits and bobs that you copy and paste where needed; or code that solved a particularly esoteric problem and ...
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