Discover how Python in Excel transforms data analysis with advanced features. Is it worth the hype? Find out if it’s right for your workflow.

Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes or other decisions. In those analyses, ...

Logging data is a useful tool for projects of some complexity. It’s worth the time to develop utility routines to help with recording the data regardless of the storage media.

Transform Excel with Python integration: automate tasks, analyze data, and uncover insights for smarter decisions. This workflow upgrade ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

Data logging has advanced through hand logging to strip chart recorders and benchtop loggers. The true stand-alone logger is what we have today, said Bryan Welsh, P.E., of Welsh Commissioning Group, ...

FRAMs achieve continuous data logging with instant non-volatility to capture pre- and post-collision event data and store on power loss.