It's become a common question on how to become a data analyst. I don't think there's one roadway or path to follow to data analytics but I'll try to share some things I wish I had known earlier. Always remember that grass is greener where it is water...
Working with Bayesian spatial models in R often brings its own set of challenges, especially when installing specialized packages like INLA. Recently, while preparing to model hotspots, I ran into exa
What is Spatial Data? Spatial data describes the absolute or relative location of geographic features. Simply put, it answers the question: “Where is it?” Types of Spatial Data Vector Data Built from coordinates (x, y). Features can be represented...
Introduction Google Earth Engine is a powerful cloud-based platform for planetary-scale environmental data analysis. The rgee package brings this capability to R, allowing you to leverage Earth Engine's massive satellite imagery catalog directly from...
When working with data in Tableau, one of the most common challenges is deciding at what level calculations should be performed. Should we aggregate across the entire dataset, or should we calculate values per category, country, or even at the transa...
Think GIS is just about making maps? Think again. Discover how geographic information systems help us solve complex problems, from city planning to disease tracking, by understanding the power of location. We interact with Geographic Information Syst...
Case Study: Ensuring Election Integrity Introduction In the recently concluded election, the Independent National Electoral Commission (INEC) has faced multiple legal challenges concerning the integrity and accuracy of the election results. Allegatio...
Introduction This report presents an analysis of sales data to uncover trends and insights. The data includes information on orders, products, quantities, prices, order dates, purchase addresses, and additional derived columns such as sales, city, an...
Introduction Definition: Process of allowing computers to learn from data without being explicit programming. It encompasses diverse applications from image recognition to fraud detection. Application of ML Predictive Modelling Natural language pro...