Finding Peaks in a Dataset and Why It Is Not Straightforward


In my job as a data analyst, I come across many different types of problems to solve. Some are relatively easy to solve, others not so much. That was until recently, where I came across a problem I have never given much thought before. That was until now. What is the problem? Finding multiple peaks … Read more

Analysing the 2023 FIFA Women’s World Cup with Graph Theory

It’s fair to say that I don’t follow many sports. I’m more of a casual observer myself and would much rather watch something like the Tour de France or a rugby match now and then. That being said, I recently came across a post on my Mastodon feed about using Gephi to visualise the relationship … Read more

Your Social Network Is Bigger Than You Think!

Your social network is bigger than you think! I remember what got me really interested in social network analysis as a field of academic study was just the scale at which these networks grow. Whether we are looking at how people talk with others or share things with other people, these interactions can grow to … Read more

How to Build a Self-Organising Map (SOM) in Python Step-by-Step

In a separate blog post, I covered the basis for understanding how self-organising maps (SOM) work. This included what a SOM is, why SOM’s are useful and how they work – including the training algorithm. In this blog post, we’ll go through how we can build a simple SOM neural network of our own using … Read more

How Self-Organising Maps Work: Explained with Graphics

Artificial Neural Networks (simply known as neural networks) come in all different shapes and sizes and can be designed to solve different types of problems. Classification, regression, supervised and unsupervised. Neural networks are incredibly versatile. It’s fair to say that neural networks are the go-to solution for any predictive task imaginable. This is especially true … Read more