Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

The normal distribution is a concept in statistics that assumes all values are distributed in the same pattern. It requires symmetry and consistent proportions in the distribution of values. Normal ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

A special case of multivariate count data. The general case is often handled with copulas in the literature. The computationally difficult part is that most or almost all methods require numerical ...

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...

Abstract: The paper introduces an intraday rolling scheduling model for power distribution networks, leveraging conditional multivariate normal distribution-based ...

This study employs a Python-based Shiny application that integrates Fitbit data visualization through a user-authenticated dashboard. I aim to create a platform for "personal usage only" Highlighted ...

Prerequisite: Introduction to Python for Absolute Beginners or some experience using Python. You’ve cleaned and analyzed your data, now learn how to visualize it. Visualizing data is critical for both ...