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This is a follow-up to my earlier article: The Dangers of Deceptive Data–Confusing Charts and Misleading Headlines. My first article focused on how visualizations can be used to mislead, diving into a form of data presentation widely used in public matters. In this article, I go a bit deeper, looking at how a misunderstanding of […]

1.- INTRODUCTION AND BACKGROUND. 1.1.- INTRODUCTION This case study demonstrates the use of Geospatial technologies to address a business challenge in the development of the pharmacy network in the Community of Madrid, Spain. This analysis is based on a project that includes legal, urban planning, engineering, administrative law and business considerations, but these aspects are

Introduction Every company I worked for until today, there it was: the resilient MS Excel. Excel was first released in 1985 and has remained strong until today. It has survived the rise of relational databases, the evolution of many programming languages, the Internet with its infinite number of online applications, and finally, it is also

Topic modeling has a wide range of use cases in the natural language processing (NLP) domain, such as document tagging, survey analysis, and content organization. It falls under the realm of unsupervised learning technique, making it a very cost-effective technique that reduces the resources required to collect human-annotated data. We will dive deeper into BERTopic,

You know what the best part of being an engineer is? You can just build stuff. It’s like a superpower. One rainy afternoon I had this random idea of creating a sentiment visualization of a text input with a smiley face that changes it’s expression base on how positive the text is. The more positive

When the six merry murderesses of the Cook County Jail climbed the stage in the Chicago musical, they were aligned on the message:  They had it coming, they had it coming all along. I didn’t do it. But if I’d done it, how could you tell me that I was wrong? And the part of the song

Regression Discontinuity Design: How It Works and When to Use It You’re an avid data scientist and experimenter. You know that randomisation is the summit of Mount Evidence Credibility, and you also know that when you can’t randomise, you resort to observational data and Causal Inference techniques. At your disposal are various methods for spinning

Text Classification stands as one of the most basic yet most important applications of natural language processing. It has a vital role in many real-world applications that go from filtering unwanted emails like spam, detecting product categories or classifying user intent in a chat-bot application. The default way of building text classifiers is to gather

AI agents and automation are no longer just a trend — they are transforming how companies operate. In a previous article, I shared several case studies of AI Agents supporting the sustainability roadmaps of small, medium and large companies. AI Agents for Sustainability — (Image by Samir Saci) This is part of a 4-month exploration of how agentic AI can