Sure! In order to clean up dirty data, you'll want to identify the areas that need to be cleaned and then apply a suitable cleaning method to those areas.

Identify the areas that need cleaning: This might involve scanning the data for missing or incorrect values, or for any patterns or outliers that look unusual. You'll also want to identify any duplicates or irrelevant information that needs to be removed.

Choose a cleaning method: This might include manually correcting or removing individual values, or using algorithms or scripts to process the data. For example, you could use a median imputation method to fill in missing values, or a de-duplication script to remove duplicates.

Validate the cleaned data: After cleaning, it's important to validate the data to make sure that it's been cleaned correctly and meets your standards. You could use a variety of methods to do this, including manual checking, statistical methods, or machine learning algorithms.

Store the cleaned data: Finally, you'll want to store the cleaned data in a suitable format that is easy to access and work with. This might involve storing the data in a database, file system, or cloud-based solution.

In order to record what users enter, you'll want to use a back-end system that can store the user data. This could be a database, like MySQL, or a cloud-based service like AWS. You would need to write code that takes the data from your HTML form and stores it in your back-end system, for example using a PHP script to send data to your database or sending a POST request to an API endpoint provided by your cloud-based service.
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