This is a preview. Log in through your library . Abstract The analysis of cross-classified discrete data using log-linear models is now as commonplace as the analysis of continuous data using linear ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

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 ...

This article explores the use of data envelopment analysis (DEA) in making multijurisdictional comparisons among government service providers. DEA is introduced and is compared and contrasted with ...

The mass amount of data collected by industries, retailers, and organizations requires knowledgeable professionals who can collect, mine, and analyze as well as store, retrieve, and manage data. These ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...