Data Visualization

Multi-Attribute Decision Matrices, Done Right

decision matrices (MADM) are a useful methodology for comparing multiple alternatives and choosing the alternative that most closely fits your needs and budget. By evaluating a set of criteria for every option, you'll be...

Modeling Urban Walking Risk Using Spatial-Temporal Machine Learning

After dinner in downtown San Francisco, I said goodbye to friends and pulled out my phone to work out how you can get home. It was near 11:30 pm, and Uber estimates were unusually...

A Case for the T-statistic

Introduction undefined, I began eager about the parallels between point-anomaly detection and trend-detection. In relation to points, it’s generally intuitive, and the z-score solves most problems. What took me some time to determine was applying...

The 2026 Goal Tracker: How I Built a Data-Driven Vision Board Using Python, Streamlit, and Neon

how you can actually stay consistent together with your goals for 2026? This yr, I’ve decided that I don’t just want an inventory of goals. I would like a vision board backed by real...

Beyond the Flat Table: Constructing an Enterprise-Grade Financial Model in Power BI

there: You open Power BI, drag a messy Excel sheet into the canvas, and begin dropping charts until something looks “right.” It’s easy, it’s intuitive, and truthfully, that’s why Power BI is one...

The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity

, I’ve at all times had a knack for data storytelling. You already know, finding the patterns and constructing visuals that really made sense. I’d learned the principles, and truthfully, I believed I had all...

4 Ways to Supercharge Your Data Science Workflow with Google AI Studio

Gemini 3 models into Google AI Studio, I’ve been experimenting with it quite a bit. In reality, I find the concept of generative UI surprisingly useful for data scientists to streamline day-to-day work. On this...

Geospatial exploratory data evaluation with GeoPandas and DuckDB

this text, I’ll show you learn how to use two popular Python libraries to perform some geospatial evaluation of traffic accident data inside the UK. I used to be a comparatively early adopter of...

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