A big part of implementing data science and machine learning/AI in organizations is data wrangling. Data wrangling accounts for between 70–80% of data science. Data wrangling can mean many things. In general, data wrangling tasks include data acquisition, data ingestion, data extraction, data cleaning, data transformation, exploratory data analysis, and…