Spreadsheet and Programming on your Jupyter Notebook, Why Not?

Introduction

Data contains so many meaningful insights. Data Analysis is the way for getting those insights. Sometimes, we get confused about choosing which tools we want to use, whether using spreadsheet software like Excel. Or we can use a programming language like Python.

And for some people, they prefer to use the spreadsheet tool. One of the reasons for that is because they cannot do programming yet.

Using the spreadsheet tool is not recommended for big data. Therefore, we need programming for analyzing big data. But thankfully, there’s a tool for connecting both. It’s called Mito.

Mito is a library that has capabilities for analyzing the data. Unlike the Pandas library, Mito has an interface like the spreadsheet software. Therefore, we can explore and process the data without interfering with codes.

In this article, I will show you how to analyze data using Mito. Also, I will show you the features that are included in this tool. Without further, let’s get started!

Implementation

Install and load the library

Before we can use the library, we need to install it first. We need to install the mitoinstaller library for installing Mito with the ‘pip’ command. Here is the command for doing that:

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