Top 5 ways to Clean the Data and Make it useful for Analysis Data Science is a highly trending and most popular technology of the 21st century. To become a skillful data scientist or a data analyst proficiency in statistics, mathematics, and knowledge of data analytics tools required. Data is everywhere internet, multimedia, images and many more but to manage the data and gains some insightful information from it a quite tedious task and requires proper analysis and experience in this field. T he most challenging task is to clean the data and make it in a structured format. There are various ways to clean data and become a proficient Data Analyst. Because 80% of the time is utilized in cleaning the data. So its a challenging and important task. Sources of missing Values in data Programming Error. The user forgot to fill it. Data was lost while transferring manually from the legacy database. User choices not to fill it for furth
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