Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

Today:Early fog in the far southwest clears quickly. Most areas stay dry with sunshine and variable cloud, though northern and northeastern regions may see isolated showers. Light winds overall, ...

pyfda is a tool written in Python / Qt for analyzing and designing discrete time filters with a user-friendly GUI. Fixpoint filter implementations (for some filter types) can be simulated and tested ...

Integration for Jupyter notebooks and Microsoft Excel. See the Python Jupyter Notebooks in Excel blog post for more details. Once installed a "Jupyter Notebook" button will be added to the PyXLL ...

Windows may get all the attention, but when you want to get real work done, you turn to the applications that run on it. And if you use spreadsheets, that generally means Excel. Excel is, of course, ...

Haplotype identification, characterization and visualization are important for large-scale analysis and use in population genomics. Many tools have been developed to visualize haplotypes, but it is ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package ...

From COVID-19 data dashboards and election results to personal finance apps and social media analytics, visual representations of data are increasingly ubiquitous in day-to-day life and in business.

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder affecting millions of people worldwide. The etiology of AD is not known, and intense research involving multimodal neuroimaging ...

In September 2017 eLife announced the start of the Reproducible Document Stack (RDS) project, a collaboration between Substance, Stencila and eLife to support the development of an open-source ...