Another way to explore data is to consider the relationships between columns. In this case we talk about multivariate data exploration.
A part of multivariate exploration techniques refer to bivariate data exploration. In bivariate data exploration we analyse columns in pairs. This includes correlation measures or bivariate statistics, as well as bidimensional plots.
In terms of plots for bivariate and multivariate exploratory analysis, there are a number of different visualization techniques available to look into relationships between columns. For the bivariate case, powerful visualizations are the scatter plot and the conditional box plot. For the multivariate case, the sunburst chart and the parallel coordinates plot are good examples.
Below is an overview of the most popular techniques for multivariate and bivariate exploratory analysis.