Data wrangling is the practice of converting & then plotting data from one “raw” form into another. The aim is to make it ready for downstream analytics. Here are the steps in data wrangling 1. Data Discovery 2. Data Structuring 3. Data Cleaning 4. Data Enriching 5. Data Validating 6.Data Publishing
