Foundation of Data Science: EDA uncovers structure, errors, and patterns in datasets, ensuring reliable insights before modeling. Versatile Techniques: From univariate checks to multivariate analysis, ...

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 ...

Abstract: Scatter plots are popular for displaying 2D data, but in practice, many data sets have more than two dimensions. For the analysis of such multivariate data, it is often necessary to switch ...

Graphics are a key method for getting statistics and data across, when explaining it could otherwise be complicated. That’s why scatter plots, also known as scatter diagrams, are powerful tools in ...

Abstract: Parallel coordinates plots are popular tools for high-dimensional data visualization. To alleviate the difficulties caused by the inherent defects that arise when the dimensions are ...

Scatter plots serve as powerful tools capable of unlocking insights contained within raw data. In this article, we explore what scatter plots are, discuss their advantages, explore their varied ...

Reduced-dimension or spatial in situ scatter plots are widely employed in bioinformatics papers analyzing single-cell data to present phenomena or cell-conditions of interest in cell groups. When ...