The role of preprocessing equipment is to process, convert and clean the raw data to make it more suitable for subsequent processing, analysis and application. The specific roles include the following:
1. Data format conversion: convert raw data from one format to another to meet the needs of different application scenarios.
2. Data cleaning: identify and repair errors, missing values and outliers in the data to improve data quality and reliability.
3. Data integration: integrate data from multiple data sources into one data set and eliminate duplication and inconsistency for deeper analysis and mining.
4. Data compression: compress a large amount of data into a smaller storage space to save storage space and reduce storage costs.
5. Data encryption: encrypt and decrypt data to protect data security and privacy.