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Polish Electric Sheep Africa dataset card

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@@ -127,8 +127,8 @@ print(df.head())
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  ### Filter By Geography
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  ```python
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- if "country_iso3" in df.columns:
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- sample = df[df["country_iso3"] == "EGY"]
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  ```
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  ### Time-Series Pattern
@@ -176,9 +176,9 @@ if {"indicator_id", "year", "value"}.issubset(df.columns):
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  - Compare categories or geographies
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  - Join with complementary public datasets
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  - Build time-series views and period-over-period comparisons
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- - Pivot to geography x period or indicator x period matrices
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  - Check missingness before modeling
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- - Use `country_iso3` as the safest geography join key when present
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  ## Citation
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  ### Filter By Geography
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  ```python
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+ # This dataset is scoped to Egypt in source metadata.
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+ sample = df.copy()
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  ```
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  ### Time-Series Pattern
 
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  - Compare categories or geographies
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  - Join with complementary public datasets
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  - Build time-series views and period-over-period comparisons
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+ - Pivot to indicator x period matrices
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  - Check missingness before modeling
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+ - Use source or repo metadata for country scope when a geography column is not present
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  ## Citation
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