Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

Discover how you can come up with powerful visualization and data stories by piggybacking on other popular data visualizations. VIP CONTRIBUTOR Hamlet Batista October 4, 2019 ...

Access to Rich Python Libraries: Utilize a vast ecosystem of Python libraries for data manipulation, statistical modeling, and data visualization, all available within Excel. The integration of ...

This is merely a collection of my personal notes for my personal use, but if you find them useful too that is a bonus. I've compiled these notes from a variety of sources, but they are most heavily ...

In this overview, Leila Gharani explores how integrating Python into Excel redefines how you handle external data. From establishing live connections to datasets using Power Query to using Python ...

Python and Excel can only really talk to each other through limited functions—xl() and =PY()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.

Learn how to make the most of Observable JavaScript and the Observable Plot library, including a step-by-step guide to eight basic data visualization tasks in Plot.