What is Data Handling?
Data handling is the process of gathering, organizing, storing, and working with information to find valuable insights. It involves tasks such as collecting, checking, cleaning, analyzing, and presenting data.
Data handling is essential in various fields, including business, science, healthcare, education, and more, where large volumes of data are generated and need to be effectively managed to make informed decisions or draw conclusions.
Real Life Applications of Data Handling
Data handling is crucial in real life in fields like business operations, healthcare, finance, education, and more. For instance, in healthcare, statisticians play a significant role in pharmacology, public health, and epidemiology, aiding drug discovery, community health education, and health data monitoring. Similarly, in finance, statistics guide financial policy decisions, risk assessment in lending operations, and market analysis, enabling individuals and organizations to make sound financial choices.
In this article we have covered definition of data handling, characteristics of data handling, applications of data handling and others in detail.