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 ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

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, ...

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 ...

A monthly food distribution at Normal West high school often included staples such as potatoes and apples. A food pantry that serves hundreds of Bloomington-Normal residents each month is ending. One ...

In today’s data-driven world, showcasing the right data analytics tools and skills on your data analyst resume can set you apart from the competition. Whether you’re an aspiring data analyst or a ...

This is a translation of the MEMD (Multivariate Empirical Mode Decomposition) code from Matlab to Python. The Matlab code was developed by [1] and is freely available ...