by Joanna Moćko-Łazarewicz | Feb 8, 2023
Within the life sciences industry, Shiny has enabled tremendous innovations to produce web interfaces as frontends to sophisticated analyses, dynamic visualizations, and automation of clinical reporting across drug development. While industry sponsors have widely...
by Hubert Hałun | Feb 8, 2023
Marketing Analytics is a $250,000,000,000 opportunity for companies. But few companies have the data science talent to make it happen. In this presentation, I’ll show a powerful use case for Robotic Process Automation (RPA) using Shiny to help Marketing...
by Hubert Hałun | Feb 8, 2023
How can we rank interview candidates more fairly? What form of data is needed to make that decision? How do we curate that data? How do we compile and summarize noisy data into something interpretable? How can we incorporate an algorithm that minimizes bias in...
by Hubert Hałun | Feb 8, 2023
We are often involved in many projects as researchers in academia. Ensuring that we have the bigger picture of the project tasks can be challenging if not well documented. Recently, our line manager asked us to create a Gantt chart to present all current tasks and how...
by Joanna Moćko-Łazarewicz | Feb 8, 2023
Managing wildlife populations requires knowledge about the distribution and abundance of species. To gather information needed to determine hunting quotas for Moose, the Yukon Government runs annual surveys. However surveying large areas with helicopters is costly...
