The author reflects on a failed data science project that lasted over 1,600 days, focusing on analyzing Tagesschau’s COVID newsticker. Despite losing interest and abandoning the project without significant analysis, valuable lessons were learned. The author shares a checklist for successful data science projects, emphasizing the importance of storytelling, quick analysis of small datasets, automation, data cadence, and storing raw data. The system design involved a semi-automatic pipeline for data extraction and aggregation. The author encourages others to learn from failed projects, embrace battle scars, and continue building. The article offers a unique perspective on the challenges and insights gained from long-term data science projects.
https://lellep.xyz/blog/failed-data-science-project.html