Understanding, organizing, and validating data directly affects the accuracy of stories. New tools make cleaning accessible ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

Everyone is subject to environmental exposures from various sources, with negative health impacts (air, water and soil contamination, noise, etc.or with positive effects (e.g. green space). Studies ...

In the fast-paced world of financial services, data analysis plays a crucial role in solving complex business problems and extracting valuable insights. Excel, a powerful and versatile tool, has ...

Jeremy Goecks (left) is the Assistant Center Director for Research Informatics at the Moffitt Cancer Center (FL, USA), where he is also an Associate Faculty Member in the Department of Machine ...

ARE we there yet in Zimbabwe? Are private and public organisations using big data analysis to enable themselves to gain valuable insights, make informed decisions and drive strategic growth. In ...

Traditional methods for flow cytometry (FCM) data processing rely on subjective manual gating. Recently, several groups have developed computational methods for identifying cell populations in ...