The text discusses the challenges of working with complex data in data science projects and introduces two tools, dlt and Deepnote, that can simplify the process. DLT (Data Loader Tool) is a library that automates data loading and formatting, while Deepnote is an interactive dashboarding tool that allows users to visualize and explore data without writing code. The authors use these tools to load and format a dataset of survey results on women's wellness and violence trends, and then use Deepnote to create visualizations and clusters based on the data. The results show that women often justify violent acts against themselves, particularly those who are less educated, and that education is a key factor in promoting women's empowerment and reducing violence. Overall, the tools and techniques described have the potential to make data science projects more efficient and effective, especially for working with complex and sensitive data.