Python’s incorporation into Excel offers data analysts robust new tools, particularly in the realm of data visualization. This blog post introduces Matplotlib, a core Python library for crafting visualizations. We’ll begin with the essential components, explore Matplotlib’s customization features, and discuss the benefits of using Pandas DataFrames ...

Over on LinkedIn, Dennis Sawyers is always a lively and outspoken voice worth following. His latest post has sparked my interest, compelling me to share my own thoughts candidly. Dennis argues that traditional BI tools like Tableau and Power BI might no longer be necessary due to AI advancements, especially ...

As we delve deeper into the age of artificial intelligence and AI-assisted programming, a question arises: Are the plethora of programming languages in Excel becoming obsolete? With the advent of AI, Python, and tools like Copilot, are we on the cusp of a paradigm shift in how data tasks are ...

In a previous post, we explored the plotnine package in Python in Excel, highlighting how its implementation of the Grammar of Graphics allows for an almost limitless array of possibilities in creating any plot imaginable: In this post, we’ll focus on how to craft layered (i.e., multiple elements ...

Python in Excel offers powerful tools for creating impactful visualizations, and one standout option is the plotnine package. In this post, we’ll delve into the origins and philosophy of plotnine, explore its core building blocks, and demonstrate some easy and impressive visualizations you can create—perfect for Excel users ...

In a previous post, we explored the Seaborn library and highlighted its fundamental plot types, showcasing how it simplifies the creation of visually appealing and insightful data visualizations directly in Excel using Python: In this post, we’ll take it a step further by diving into advanced, statistically driven plots—...

One of the most exciting skills to learn in BI tools like Power BI or Tableau is how to create dynamic measures. The idea is that since dashboard space is limited, using dynamic controls—such as allowing users to select which measure to display—keeps the dashboard both compact and ...

In an earlier post, I discussed adding conditional formatting to an Excel chart. One key benefit of using Python in Excel for this—rather than relying on standard Excel charting—is the flexibility it offers. With Python, it’s simpler to adjust the chart when adding new variables or expanding ...