Project
Clean nutritional data from ingredient suppliers
Help a homemade meal kit delivery company with a data problem that’s breaking customer trust. You’ll connect to data from multiple online sources and then apply data cleaning best practices to create a dataset free of errors and inefficiencies.
Python 90 Minutes 1.5 CPE/CPD Credits
Project Steps Involved
1. Fetch Cuisine's sluggish data prep
2. Connect to and combine online nutritional data
3. Address data type errors
4. Fix data range errors
5. Fill in null values
6. Remove duplicate values
7. Categorical value errors
8. Remove inconsistencies
9. Output data in the required format
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