A standard approach for visualizing multivariate networks is to use one or more multidimensional views (for example, scatterplots) for selecting nodes by various metrics, possibly coordinated with a ...

Learn what multicollinearity is, how to measure it using VIF and correlation matrix, and how to handle it using various methods in Python.

Multicollinearity introduces uncertainty, complexity, and limited generalizability, hampering factor analysis. To address multicollinearity, researchers can examine the correlation matrix to identify ...

Bloomberg engineers publish paper at ECML PKDD 2017 detailing first automated system to extract data from scatter plot images using deep learning.

First, it is not a simple comparison of just two elements as you would find in a bar chart, or numbers over time as in a line graph. The scatterplot plots two variables in relationship to each other.