✅ Why Developers Love JSONViewer.Tools Working with JSON data can be tricky — especially when it’s deeply nested, malformed, or needs quick transformation. JSONViewer.Tools is built to solve that. Whether you're a backend developer working with APIs,...
Summary This article introduces the foundational concepts of how the human brain processes visual information and how those processes directly influence the design and interpretation of data visualizations. You will learn how the eye works, what happ...
Being able to view the status of an application that is running in production is critical. As developers we can’t necessarily, and should not ever, be poking around in production systems. This is even more critical when it comes to Cloud Native appli...
Have you encountered a situation where a Power BI report seems stuck in time, with slicers for eg: month failing to reflect the latest data? It’s a common frustration - users continue to see outdated selections, even though newer entries have arrived...
Introduction Exploratory Data Analysis (EDA) is often the very first step when working with a new dataset, and for a good reason: it helps us understand the data before we build models or make decisions. As part of the Cyber Shujaa Program, I had the...
INTRODUCTION:- With the increase in the rate of crimes, there is raising concern among the citizens and the authorities. Understanding crime patterns can help law enforcement agencies allocate resources efficiently and enhance public safety. This blo...
Introduction Graphics are crucial for displaying results and offer a great way to explore data. Presentation graphics have received a lot of attention, especially since Edward Tute's excellent books. But rather than being articulated in formal theori...
I’m Suyog Timalsina, an international student studying Computer Science with a minor in Data Science at Southeast Missouri State University. I’m super excited to start this blog, Data Science Diaries, to share my journey learning statistics, machine ...
Introduction Understanding mean, variance, and standard deviation is crucial for analyzing data distributions. This post explains: Key definitions and formulas Differences between calculation (population) vs. estimation (sample) Why adjustments li...
For a long time, I studied only for marks, memorizing everything just to pass exams. I understood the material temporarily, but it was only for the test — not because I was passionate about it. This approach continued until grade 12, where I realized...
