• Anisha Godse
• Shridhar Dhotre
• Vivek Kore
• Nancy
• Pallavi Tembhurnikar

In the era of data-driven decision-making, the demand for robust and efficient data cleaning and processing solutions has become paramount. This review paper delves into the transformative landscape of automated data cleaning and processing, focusing on the powerful combination of Python programming and cloud technology. The paper provides a comprehensive survey of the existing literature, categorizing methodologies and tools employed in the domain. By examining the pivotal role of Python in automating data cleaning tasks and exploring the advantages of cloud technology for scalable processing, the review elucidates the potential of their integrated use. Real-world case studies demonstrate or explain successful implementations, providing insights into the problems encountered and lessons learned. The study finishes by noting existing difficulties and suggesting future research possibilities, emphasizing the changing environment of data integrity in the context of Python and cloud technologies. This effort intends to help academics, practitioners, and decision-makers navigate the complex confluence of automated data cleaning and processing for improved data dependability and integrity.

— Data Science, Cloud Technology, python script, Automated data cleaning, Data preprocessing, Data quality, Missing data treatment, Outlier detection, Duplicate detection, Data validation, Data normalization, Data imputation, Exploratory data analysis, Data visualization.

"Automated Data Pre-Processing and Visualization System.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.b123-b128, April-2024, Available :http://www.jetir.org/papers/JETIR2404115.pdf

"Automated Data Pre-Processing and Visualization System.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppb123-b128, April-2024, Available at : http://www.jetir.org/papers/JETIR2404115.pdf