Automated Data Cleaning and Visualization

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I have an API from which I can retrieve data and upload it to my s3 buckets. I plan to clean this data for missing values, duplicates, invalid values, and also remove outliers. After the data is cleaned, I want to visualize this data and use it as an API so the users can access my visualized charts.

I have tried different tools for cleaning processes such as AWS Glue DataBrew, Sagemaker Data Wrangler, and using python (pandas). However, I am unaware of what's the best method to go about especially if I want to automate the entire process so that the cleaning and visualization works as soon as I add a CSV file into the S3 bucket.

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