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dc97a6904245e0d07c1302ee90fceec3
mooc-rr
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4038b588
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4038b588
authored
Jun 24, 2025
by
dc97a6904245e0d07c1302ee90fceec3
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@@ -90,16 +90,13 @@ We had to do exercises for two diseases—**influenza-like illness (ILI)** and *
To ensure robustness and reproducibility:
-
**Large downloads are cached locally**
(only once), preserving the original URL for traceability.
-
Dataset examples:
-
ILI:
`incidence-PAY-3.csv`
-
Chickenpox:
`incidence-PAY-1.csv`
-
**Large downloads are saved locally**
, preserving the original URL for traceability.
This setup avoids broken links and version
drift
in automated analyses.
This setup avoids broken links and version
changes
in automated analyses.
## 2. Seasonal Aggregation of ILI and Chickenpox
Both datasets follow this standard pipeline
:
For both datasets this standard pipeline was followed on Jupyter
:
1.
**Load**
the CSV, skip comment rows.
2.
**Parse**
the
`'week'`
column into ISO-week periods.
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