Create Pivot Tables, Aggregations and Plots Without Any Code

Grouping, pivoting, and plotting are fundamental to almost every tabular data analysis task.

Yet, across projects, we often write the same code over and over to perform these operations. This quickly gets repetitive and time-consuming.

To avoid this, use PivotTableJS. It's an incredible tool that allows you to analyze your data in Jupyter, without writing any code.

Its drag-n-drop functionality and intuitive UI makes the task of performing aggregations, creating pivot tables, and plotting interactive charts effortless and quick.

Read more: Documentation.

Watch a video version of this post on LinkedIn: Post Link.

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I like to explore, experiment and write about data science concepts and tools. You can read my articles on Medium. Also, you can connect with me on LinkedIn.