While working on any data science problem, bulk of your time spend on data cleaning and exploration tasks. It takes almost 60 to 70 percent time to prepare data for analysis which includes extraction, cleaning and manipulating data. After these stages, you have less time to generate meaningful insights and develop more powerful model.
Do you suggest any methods that can help to reduce the data cleaning or preparation time? It will definitely help me to improve myself as a data scientist.