Teaching analytics with modern Excel
Excel has for decades been a mainstay for business and data professionals, providing a familiar environment for organizing, analyzing, and visualizing data. Its built-in charts and graphs offer a …
Continue Reading about Python in Excel: Why use Python for data visualization? →
Data visualization is a fundamental aspect of effective data analysis. And although Excel is a versatile tool, certain visualization types remain difficult or even impossible to create with its …
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 …
Continue Reading about Python in Excel: Creating layered and faceted visualizations with Plotnine →
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 …
Continue Reading about Python in Excel: How to create statistical plots with Seaborn →
Python’s integration into Excel has opened a new world of possibilities for data analysis and visualization, and Seaborn is one of the most exciting tools to leverage within this environment. Seaborn …
Continue Reading about Python in Excel: How to understand the Seaborn package →
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 …
Continue Reading about How to create interactive scatterplots with Python in Excel →
