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.

In this article, I’m going to walk you over one example to show you how you can come up with powerful visualization and data stories by piggybacking on popular ones. Here is our plan of action.

Data visualization can be intimidating and something that many organizations struggle to accomplish. Here is how to take your data and turn it into great insights and a story that resonates with ...

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 ...

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.