Mention the basic techniques of data processing and explain two
1) Sorting: Sorting is the process of arranging data in a logical order such as ascending or descending order. Sorting can be done based on any attribute of data. It is usually performed to aid in analysis or report creation. Sorting can be done manually or through the use of software programs.
2) Filtering: Filtering is the process of selecting a subset of data based on specific criteria. This technique is used to highlight specific data to make analysis easier. For example, filtering can be done to show only the data corresponding to a certain date range or a certain category.
Two examples of data processing techniques are:
1) Summarization: Summarization is the technique of reducing large sets of data into smaller, more manageable chunks. This technique is widely used in financial and business analysis. It involves creating summary tables or graphs that are easy to read and provide insights on the dataset. Summarization is useful when large amounts of data need to be presented in a concise way.
2) Normalization: Normalization is a technique of converting data into a standard format that eliminates redundancies and inconsistencies. This helps to improve data quality and accuracy. Normalization involves breaking down data into smaller tables, reducing data redundancy and dependency and building relationships between tables. Normalization is commonly used in database design and is essential for data integrity and consistency.