Datawindow: Python Library to Simplify the Data Science Process

This paper is a documentation for datawindow, a Python package which has the goal of simplifying the data processing and analysis techniques. Datawindow provides eight methods which allows users to quickly and easily handle activities in the data science process such as model building, data cleaning and summarization using user-friendly interfaces. The datawindow keeps user-friendliness and modularity as the main focus in the library’s design. Datawindow provides the user-friendly experience by utilizing Tkinter for graphical user interfaces. Datawindow users Pandas for data processing and Tkinter for the interfaces to help provide clarity to the users. This ensures that the library satisfies user needs and aims to provide the user with a streamlined data science experience. Datawindow seeks to refocus the focus of the data analysis and data science process from coding and programming to allowing data workers to focus more on the creative processes and analytical thinking part of the analysis using interfaces.