A visual exploration of the popcorn statistics for voidlinux
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Marty Oehme 443c4c98cd
Major performance improvements for weekly and monthly plots
Doing most of the aggregation in polars with the streaming engine
prevents memory overload (as compared to letting ggplot do it).
2025-10-01 18:04:55 +02:00
.datalad [DATALAD] new dataset 2025-10-01 14:10:19 +02:00
input [DATALAD] Added subdataset 2025-10-01 14:22:02 +02:00
notebooks Major performance improvements for weekly and monthly plots 2025-10-01 18:04:55 +02:00
src Move code to src 2025-10-01 14:10:42 +02:00
.gitattributes Apply YODA dataset setup 2025-10-01 14:10:21 +02:00
.gitignore Set up basic project 2025-09-30 14:09:40 +02:00
.gitmodules [DATALAD] Added subdataset 2025-10-01 14:22:02 +02:00
.python-version Set up basic project 2025-09-30 14:09:40 +02:00
CHANGELOG.md Apply YODA dataset setup 2025-10-01 14:10:21 +02:00
pyproject.toml Change to streaming engine for lazy operations 2025-10-01 14:34:59 +02:00
README.md Apply YODA dataset setup 2025-10-01 14:10:21 +02:00
uv.lock Change to streaming engine for lazy operations 2025-10-01 14:34:59 +02:00

Project

Dataset structure

  • All inputs (i.e. building blocks from other sources) are located in inputs/.
  • All custom code is located in code/.