05
Oct
Cleaning and preprocessing scraped data is an essential step in data analysis and preparation. It involves transforming raw, unstructured, or messy data obtained from web scraping into a structured and usable format. This process typically includes steps such as data validation, removal of duplicates and irrelevant information, handling missing values, and standardizing data formats. Here are some guidelines for cleaning and preprocessing scraped data: Data Validation: Check the integrity and consistency of the scraped data. Validate data types, such as ensuring that numeric fields contain valid numbers, dates are in the correct format, etc. Remove or correct any data that…