R Exchange
(Wellington Edition)

This event was all about using R within your organisation, from providing insights into your data to visualising information and optimising workflows. We showed you how you can learn from us and other professionals with similar interests how to get the most out of the powerful capabilities R provides and how to use R effectively, for example to build R Shiny dashboards.

R Exchange was hosted by Epi-interactive, New Zealand's RStudio Full Service Certified Partner.

Where
St Andrew's, 30 The Terrace
Wellington, New Zealand

When
Friday, 12 March 2021
9:00am - 12:00pm

About this event

This event shared how public, private and government organisations are using R to optimise how they analyse and share data. We showcased battle stories and experiences which would help you get the most out of R and link into powerful features such as R Shiny dashboards. Further, this event provided opportunities to connect with like-minded people.

Schedule

Doors open

Come early for a coffee or tea along with time to network.

8:30am

Welcoming notes

Dr Uli Muellner - Epi-interactive

9:00am

Growing R in your organisation: Challenges and successes

Josiah Parry - RStudio
In this talk Josiah discusses some of the hurdles that data analysts and scientists working for larger organisations are commonly facing. He discusses why these issues arise as well as some practical strategies to successfully address these challenges.

9:05am

Ensuring consistency in the style and function of Shiny apps with a centralised R package

Hedley Stirrat - Manatū Hauora, Ministry of Health
It's often important to maintain consistent appearance and behaviour across several different Shiny apps. However, these apps can be difficult to maintain or update if they all rely on stand-alone code bases with duplicated code. This talk describes the creation of an R package containing styles, reference data and documentation, which can serve as a single point of reference for any number of Shiny apps, allowing us to easily update and maintain key facets of style and function.

9:30am

Connecting data with people: From data to intelligence and insights

Dr Petra Muellner - Epi-interactive
In this presentation Petra showcases the interplay between data analysis, information technology and user interface design. Using practical examples this talk will demonstrate how interactive dashboards can be used to inform and engage stakeholders and connect data with real-world decision making. Examples include the NZ COVID-19 Health Intelligence Dashboard, Epidemix.app - which makes disease modelling more accessible - and the Aquatic Invasive Species Explorer, an app that connects survey data and risk modelling with operational decision making on boater inspections.

10:00am

Break

Morning tea break and networking.

10:30am

R at Stats NZ

Chris Hansen - Tatauranga Aotearoa, Statistics New Zealand
R is now in high demand at Stats NZ. It is used actively by well over 100 analysts, and is being used to create a number of production outputs. Importantly, R supports transparency and reproducibility because it is freely available, and through features such as package creation and literate programming, and this is becoming increasingly essential for a government department that relies on the trust of its many data suppliers. In this talk, we will provide a brief overview of the R environment used at Stats, as well as some of the use cases it supports. And we will discuss the value of transparency and reproducibility.

11:00am

Visualising cancer service variation across New Zealand

Ruth Pirie - Te Aho o Te Kahu, Cancer Control Agency
Te Aho o Te Kahu’s quality performance indicator programme measures and compares the services received by people with cancer with the goal of identifying areas for improvement. People may be diagnosed with one or more different types of cancers and the diagnosis and treatment of cancer is provided by clinicians from a range of specialties and service providers. Data related to diagnosis, treatment and outcomes is held in a number of different data collections. Some of the challenges this landscape presents for calculating indicators and our approach for reporting will be discussed.

11:30am