The script is encountering significant obstacles in generating the result object. The extracted data files are devoid of essential metrics such as subscribers, views, and video counts. Furthermore, playlist IDs are completely absent from the processed data. A preliminary analysis indicates a critical need for extensive data preprocessing to rectify these issues. Potential root causes include structural disparities within the raw data, missing or corrupted data fields, inefficiencies in the data extraction pipeline, and the absence of necessary data transformation logic. These deficiencies collectively hinder the script's ability to produce meaningful output.
atmikshetty
commented
1 month ago
The script is encountering significant obstacles in generating the result object. The extracted data files are devoid of essential metrics such as subscribers, views, and video counts. Furthermore, playlist IDs are completely absent from the processed data. A preliminary analysis indicates a critical need for extensive data preprocessing to rectify these issues. Potential root causes include structural disparities within the raw data, missing or corrupted data fields, inefficiencies in the data extraction pipeline, and the absence of necessary data transformation logic. These deficiencies collectively hinder the script's ability to produce meaningful output.