This talk concerns data visualization as part of data science. It raises the question how high-dimensional data can be visualized, especially for detecting, measuring and testing dependence. To this end, the notion of a zenpath and a zenplot is introduced to search and visualize high-dimensional data. By using any measure of interestingness, a zenpath can construct paths through pairs of variables in suitable ways, which can then be laid out and displayed by a zenplot. Zenpaths and zenplots are useful tools for exploring dependence in high-dimensional data, for example, from the realm of finance, insurance and quantitative risk management. An implementation is provided in the R package zenplots.