Learning D3.js can be pretty overwhelming as an R user. Luckily, the {r2d2} package lets you keep your data cleaning steps in R and easily incorporate any visualisation in R Markdown reports and R Shiny dashboards. This tutorial-style blog will take you through creating your first D3 visualisation with a bit of Scooby-Doo along the way.
Read more about Learn D3 in RStudio with Scooby-Doo
Apache Parquet is a column storage file format used by many Hadoop systems. This post describes what Parquet is and the tricks it uses to minimise file size. We also discuss how to use Parquet, within an R workflow.
Read more about Understanding the Parquet file format
Bridging the gap between data science and IT teams is much easier than you might expect! This two-part webinar will discuss why open source languages are suitable for enterprise data science, and how data scientists can work with the IT team to get their organisational buy-in.
Read more about Webinars: R in Production
Forking repositories is a great way to learn from and contribute to others' code. However, you may quickly end up with a cluttered user space, with old forks lingering around. Manually removing repositories is slow and tedious. Read more to find out how you can use the {gh} package to speed up the process.
Read more about Delete repositories with {gh}
In line with the continuous growth at Jumping Rivers, we are looking to expand our team of dedicated professionals working in our teams. If you are enthusiatic and keen to develop your skills in cutting edge data science discliplines or infrastructure please read on!
Read more about Job vacancies at Jumping Rivers!
Good news! We have updated our public course page with our new programme of courses, being delivered between May and November. Early bird offers & academic discounts currently available.
Read more about Jumping Rivers 2021 Online Training Schedule
Like data science? R? Python? Stan? Then you’d love the Jumping Rivers newsletter! The perks of being part of the Jumping Rivers family are:
