Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results.

Organizations underestimate just how much effort will need to be spent on exploratory data analysis and as such, it often simply doesn’t get done. Ultimately, most AI and ML initiatives fail because ...

Exploratory data analysis (EDA) and Bayesian inference (or, more generally, complex statistical modeling)-which are generally considered as unrelated statistical paradigms-can be particularly ...

Exploratory graphical tools based on trimming are proposed for detecting main clusters in a given dataset. The trimming is obtained by resorting to trimmed k-means methodology. The analysis always ...