Data is the new currency today. A bad data is at times worse than no data as one may reach to wrong conclusion. In every Data science or analytics project, cleaning, preparing and pre-processing takes the most of the time before the main analysis can start. A nice, clean data is the first key to any successful data science/analysis project. As someone said "Quality data beats fancy algorithms". Your raw data is used to create organized, clean, processed data based on your requirements using simple and consistent workflow ICleVerR ( Inspection, Cleaning, Verifying and Reporting). Some of the standard data pre-proessing and cleaning tasks are Find and remove duplicate data. If you need more advanced data processing for your project, please feel free to contact with your details.