/Querying-messy-data-using-SQL

To get a hands-on experience with real-life messy data, I chose to work with food and nutrient data available on FoodData Central. I wanted to compare nutrients across different types of foods available in the US market.

Querying and visualising -messy-data-using-SQL and Tableau

In this notebook, I will query messy data using MySQL and visualise insights using Tableau.

You will also find a detailed write up of the project in my Medium link

Table of contents

Installation

(Back to top)

On this Github repo, navigate to the appropriate python notebook (*.ipynb). Click the "Run in Colab" link on the top of the lab. That's it!