Mention the basic techniques of data processing
1. Data entry: The process of gathering data and inputting it into a computer system through different data entry tools.
2. Data validation: Checking the data for accuracy, completeness, and consistency.
3. Data sorting: Reorganizing the data in a specific order, for example, sorting data in alphabetical or numerical order.
4. Data filtering: Extracting a subset of data based on specific criteria like date range, location, or product type.
5. Data aggregation: Combining data from multiple sources or from different time periods into a single dataset.
6. Data analysis: Using statistical and computational methods to gain insights from the data and identify trends, patterns, and relationships.
7. Data visualization: Presenting data in a visual format like graphs, charts, and maps, which makes it easier to understand and interpret.
8. Data cleaning: Removing or correcting incorrect, incomplete, or duplicate data.
9. Data encoding: Converting data from one format to another, for example, from analog to digital.
10. Data storage: Storing data in a secure, scalable, and accessible way using cloud-based or on-premises databases.