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 ...

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Unlock deeper analytical capabilities by integrating BQL, Bloomberg’s most advanced data API, with Python via the BQL Object Model. This session will feature practical demonstrations, code ...

FEMA maps underestimated risk in catastrophic Texas flood, data shows Water was higher than the predicted 0.2% chance flood hazard, according to data.

President Donald Trump's approval has collapsed to near-historic lows, according to a new analysis, and Americans disapprove of his handling of every major issue.The president has been trying to ...

Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in ...

In this article, we address some of the difficulties in using accounting data for value chain analysis. These difficulties are divided into those that are inherent, because of differences in methods ...

Big data, Hadoop, unstructured data, NoSQL, data architecture, and analytics news, analysis, trends, and research from Database Trends and Applications magazine.

Pew Research Center’s team of demographers, economists and other analysts accesses and uses a wide variety of publicly available data sources to conduct its population research. Much of this data is ...