Sparse causal discovery allows data scientists to detect hidden cause-and-effect relationships in complex datasets. By working with summarized data, researchers can focus on the most influential factors without being overwhelmed by noise. This approach is particularly valuable in industries like finance, healthcare, and social policy. Visualization and algorithmic techniques make thes... https://buymeacoffee.com/excelrposts/finding-hidden-causes-crowd-sparse-causal-discovery-summarized-data