Join me on a personal journey from data visualization hurdles to automated visualisation pipelines. Discover simple, universal strategies, illustrated with Matplotlib, that could streamline your data visualisation processes, reduce errors, save mental effort, and enhance productivity.
In today’s world, effective visualisation is crucial for conveying insights from data. We will explore best practices for creating visualisations with Matplotlib. We will discuss the limitations of static visualisations and how continuous integration can help streamline the process and avoid common pitfalls.
I will share my practical experiences and learned lessons from working with analytics drawing on the insights of well-known experts such as Edward Tufte, Stephen Few, Alberto Cairo, and Dona Wong. The work of these authors has helped shape our understanding of how to create informative and accurate visualisations. I will reflect on what I wish I had known about the best practices in this field.
This talk is suitable for professionals who work with data and want to improve the effectiveness of analytics and reporting. Data visualisation is a form of communication that is important to learn how to apply to convey the stories that data tells us. By the end of this talk, you will have gained valuable techniques for creating informative analytics and an understanding of how CI can support your data visualisation projects.
Based in Switzerland, I am a software engineer specializing in data visualisation. My passion for visualisation was sparked during my time as a student working on Computational Fluid Dynamics projects. Now, after years in computational physics, I’m harnessing this passion to build business analytics in a real-world setting.