Welcome to the first edition of our newsletter! We’ll be using this space to share updates on our Data Platform and other resources we think you’ll find useful. This time, we’re sharing updates on an exciting preview of Splashboards, the simple dashboard solution for your Splashback data! We’ve also released Distribution Plots as a new… Continue reading Newsletter #1 – Splashboards, Distribution Plots
Tag: learn
Calculate water discharge from V-notch Weirs in Excel
V-notch weirs are an effective way to measure water flow in a wide range of situations. We published a paper on its correct use, and created a free Excel function to simplify the process. Many of Splashback’s clients work with water discharge as part of their environmental monitoring. These measurements of flow and discharge are… Continue reading Calculate water discharge from V-notch Weirs in Excel
Using GraphQL with R
In this article, we’re going to show you how to construct queries using the a GraphQL IDE, how to make GraphQL API calls in R and then how to convert the returned JSON data into an R data frame. Most of the screenshots in this blog post are of old versions of the Splashback API… Continue reading Using GraphQL with R
What is the Hazen Percentile?
Recently, we added the Hazen percentile function to Splashback, including it as a statistic in our apps. To accompany its release, we thought we’d write a short profile on it. The Hazen percentile is attributed to Allen Hazen [1]. He studied and worked extensively on water and sewerage infrastructure and is most known for developing… Continue reading What is the Hazen Percentile?
Using Python for Sample data integration with Splashback
Data integration sounds daunting – but what is it and how can it help you and your organization? In this article, we will talk about integrating data as the process of connecting and synchronising data from one system to another. With Splashback, integration unlocks data analysis and management capabilities you never would have thought possible.… Continue reading Using Python for Sample data integration with Splashback