Think about your data intelligently and ask the right questions Key FeaturesMaster data cleaning techniques necessary to perform real-world data science and mac
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean d
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and incorrect business
Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tool
A comprehensive guide to automated statistical data cleaning The production of clean data is a complex and time-consuming process that requires both technical k
