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

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.

Atlanta and Tel Aviv — February 14, 2023 – Intelligent monitoring platform maker Mona has announced an automated exploratory data analysis tool to identify the root-cause of anomalies in multivariate ...

The worlds of AI and BI occupy distinct places in the analytics continuum, which is most often understood with concepts like descriptive analytics, ...

Gaea Leinhardt, Samuel Leinhardt, Exploratory Data Analysis: New Tools for the Analysis of Empirical Data, Review of Research in Education, Vol. 8 (1980), pp. 85-157 ...

To maintain effective automation pipelines, exploratory data analysis (EDA) must be regularly conducted to ensure that nothing goes wrong. What is exploratory data analysis?

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 ...