While a lot of emphasis gets put on model building, data scientists must continually explore and analyze the underlying data for shifting patterns, data quality issues, and unforeseen changes to the ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

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 ...

A professor and researcher who studies AI and health care analytics explains why AI’s growth will be gradual, and how technical limitations and ethical concerns stand in the way of AI’s widespread ...

3. During our data exploratory analysis, we noticed that the distribution of incidents across 10 "business-generated" categories was falling roughly 80% into only three categories.

Exploratory Data Analysis With RShiny And SQL: A Case Study By Sai Krishna Chirumamilla Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His ...

Commentary The Impact of Automated Exploratory Data Analysis in Litigation Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to ...