Multivariate data analysis can be complex and time consuming, especially when drawing insights from large datasets, and Mona says its new exploratory tool is designed to streamline and simplify this ...

Students will learn the fundamentals of data structures and complexity theory, data wrangling, exploratory data analysis, data visualization, and basic machine learning algorithms such as regression, ...

The Exploratory Data Analysis Problem The prudent scientist must interrogate the data with a laundry list of statistical questions to determine the data’s fit-for-use in AI and ML projects.

Multivariate Exploratory Analysis of Ordinal Data in Ecology: Pitfalls, Problems and Solutions, Journal of Vegetation Science, Vol. 16, No. 5 (Oct., 2005), pp. 497-510 ...

Udacity’s Data Analysis with R is an enjoyable introduction to exploratory data analysis. The expert interviews with Facebook’s data scientists are insightful and inspiring.

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

In the hands of skilled analysts, data can make a powerful impression on its viewers and can change opinions. It can influence society and inform human behavior. Data analysis and visualization ...