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Jumping Rivers is a data science consultancy company focused on R and Python. We work across industries and throughout the world. We offer a mixture of training, modelling, and infrastructure support. Jumping Rivers is an RStudio Full Service Certified Partner. This role is suitable for anyone interested in deploying (Linux-based) data science services and contains two main elements: Client facing: assess virtual servers & services. Identify potential issues or improvements.

At Jumping Rivers we’re always to want to branch into the data science community, and so this year we’re going to quite a few conferences in the autumn. You can catch us at: GSS (Government Statistical Service) Conference - Edinburgh From the 1-2 October, our very own Esther Gillespie (CEO) and Seb Mellor (Data Engineer) will be attending the GSS conference in Edinburgh. If you see them, feel free to chat or ask for some merch!

We’re RStudio Trainers! Big news. RStudio recently started certifying trainers in three areas: the tidyverse, Shiny and teaching. To be certified to teach a topic you have to pass the exam for that topic and the teaching exam. Even bigger news. Four of your lovely Jumping Rivers trainers are now certified to teach at least one topic! Check out the RStudio certified trainers page to see me (Theo Roe), Rhian Davies, Colin Gillespie and Roman Popat in action!

You’ll be pleased to know that Jumping rivers are running R training courses up and down the UK, in London, Newcastle, Belfast and Edinburgh. I’ve put together a quick summary of the courses available through til the end of the year. They are sorted by place then date. You can find the booking links and more detail over at our courses page. Don’t be afraid to get in contact if you have any questions!

This blog post has two goals Investigate the {bench} package for timing R functions Consequently explore the different algorithms in the {digest} package using {bench} What is {digest}? The {digest} package provides a hash function to summarise R objects. Standard hashes are available, such as md5, crc32, sha-1, and sha-256. The key function in the package is digest() that applies a cryptographical hash function to arbitrary R objects. By default, the objects are internally serialized using md5.

Earlier this month I attended the inaugural SatRday Newcastle. This was my first time attending a SatRday event, and I had a really enjoyable day. The event was sponsored by Newcastle University, Sage, RStudio and Jumping Rivers. There were over 100 attendees from across the U.K. Most attendees were from industry, although there were also a couple of academics present. There were also lots of R-Ladies, including women from the newly formed R-Ladies Newcastle, who are launching next month.

One of the great things about R, is the myriad of packages. Packages are typically installed via CRAN Bioconductor GitHub But how often do we think about what we are installing? Do we pay attention or just install when something looks neat? Do we think about security or just take it that everything is secure? In this post, we conducted a little nefarious experiment to see if people pay attention to what they install.

When discussing how to speed up slow R code, my first question is what is your computer spec? It’s always surprised me that people are wondering why analysing big data is slow, yet they are using a five-year-old cheap laptop. Spending a few thousand pounds would often make their problems disappear. To quantify the impact of the CPU on analysis, I created the package {benchmarkme}. The aim of this package is to provide a set of benchmarks routines and data from past runs.

Jumping Rivers is a data science company based in Newcastle. We are not sector based and our clients range through all industries. We are looking for individuals who enjoy a challenge. Main Duties Technical Duties: Provide technical training Development of bespoke statistical algorithms. Building web applications using R and Shiny. Data analysis using R and/or Python. Client contact: Attend on-site client meetings Off-site meetings via video conference call Training on site Develop a plan of action for consultancy.

R conference Costs Last year we gave you a price break down of some of the most popular R conferences around the globe for 2017. We’re going to do it again for 2018. Remember, you can get up-to-date information on upcoming conferences via our GitHub page. It’s important to note that these costs are the prices of an industry ticket for the conference only. If you caught the tickets on early bird and are an academic/student you could see these prices fall by over 50% in some cases.