Discover more from Daily Dose of Data Science
Data Analysis Using No-Code Pandas In Jupyter
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.
Thanks for reading Daily Dose of Data Science! Subscribe for free to learn something new and insightful about Python and Data Science every day. Also, get a Free Data Science PDF (250+ pages) with 200+ tips.