In this notebook, I will query messy data using MySQL and visualise insights using Tableau.
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!
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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.
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rituparrna33/Querying-messy-data-using-SQL
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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.
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