Data Preparation Tool for Analysis

In my journey as a Junior Data Analyst, to ensure a comprehensive understanding of all the functionalities of the pandas library, I have decided to create an application that allows an ordinary user to recognize and comprehend the dataset they need to process. This will be achieved through the creation of customizable reports, enabling the user to correct and modify the data when necessary. The application I have developed enables the user to initially observe essential details about the dataset they are about to process, such as the size of the dataset, basic statistical measurements, and more. Next, it provides the user with the ability to manipulate the dataset to prepare it for the final analysis. This process includes tasks such as deleting duplicate records, removing unnecessary elements, modifying incorrect records, identifying and managing outlier values, and many other operations. By allowing the user to interact with the data in such a manner, the application aims to facilitate a smoother and more efficient data processing and analysis experience. This user-friendly approach empowers individuals, even those with limited technical expertise, to effectively handle and understand their datasets for further analysis and decision-making.