Data billed can vary significantly when querying downloads for just pip versus all installers. The cost of collecting data specifically for pip appears to be higher.
After initially tracking downloads for 4,000 packages over 365 days, the increase in logged downloads led to exceeding BigQuery's quota, prompting a strategic reduction to 30 days.
By utilizing the pypinfo client, it became evident that expanding my query to include all installers resulted in lower data processing costs and overall improved efficiency.
The discovery of using all installers versus pip showed a notable difference in monthly quota consumption, illustrating the need for strategic data management in research.
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