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This article discusses four powerful ways to ensure effective data analysis in data science projects. It highlights the importance of qualitative methods, data manipulation, and media sources, as well as the need to critically evaluate the data. Additionally, it provides an overview of how numbers can be misleading and how to avoid this.
