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

Have you ever panicked because you updated your source data in Excel, but the pivot table results remained old? I once turned pale when it was pointed out to me during a meeting. Here are the causes ...

Python users often start with pandas when a workbook is already a clean table. JVM teams have Apache POI and similar workbook APIs for reading and writing Excel files. Document-like spreadsheets still ...

When it comes to working with data in a tabular form, most people reach for a spreadsheet. That’s not a bad choice: Microsoft Excel and similar programs are familiar and loaded with functionality for ...

Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...

Python for Population Genomics (PyPop) is a software package that processes genotype and allele data and performs large-scale population genetic analyses on highly polymorphic multi-locus genotype ...

Need to extract data from PDF files into a spreadsheet so you can analyze it? Find out how seven PDF to Excel conversion tools fared in head-to-head tests with increasingly complex data sources. In an ...

80% of data analysis is cleaning and preparing data. A major part of that cleaning is data tidying—structuring datasets into a consistent, predictable format that simplifies analysis, modeling, ...