The correct answer is C. Data Encoding.
Data preprocessing is the process of cleaning, transforming, and organizing data so that it can be used for analysis. Data cleaning is the process of identifying and correcting errors in data. Data transformation is the process of converting data into a format that is more suitable for analysis. Data organization is the process of arranging data in a way that makes it easy to find and use.
Data encoding is a process of converting data into a form that can be used by a computer. This can involve converting text into numbers, or converting numbers into a different representation. Data encoding is not a common data preprocessing technique because it is usually done after the data has been cleaned, transformed, and organized.
Here is a brief explanation of each option:
- Data Cleaning: Data cleaning is the process of identifying and correcting errors in data. This can involve removing duplicate records, correcting incorrect values, and filling in missing values.
- Data Transformation: Data transformation is the process of converting data into a format that is more suitable for analysis. This can involve converting data from one type to another, such as converting text into numbers, or converting numbers into a different representation.
- Data Organization: Data organization is the process of arranging data in a way that makes it easy to find and use. This can involve creating a database, or creating a spreadsheet.
- Data Encoding: Data encoding is a process of converting data into a form that can be used by a computer. This can involve converting text into numbers, or converting numbers into a different representation.