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Data Analysis Using No-Code Pandas In Jupyter

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Data Analysis Using No-Code Pandas In Jupyter

Avi Chawla
Nov 22, 2022
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The Pandas API provides a wide range of functionalities to analyze tabular datasets.

Yet, across projects, we often use the same methods over and over to analyze our data. This quickly gets repetitive and time-consuming.

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

The coolest thing about Mito is that each edit in the spreadsheet automatically generates an equivalent Python code. This makes it extremely convenient to reproduce the analysis later.

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.

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