FIGARO (2026) (part 2)
Browse files- README.md +1 -1
- datasets/figaro_land_footprints/dataset.yml +0 -1
- datasets/figaro_supply/dataset.yml +0 -1
- datasets/figaro_use/dataset.yml +0 -1
- source.yml +3 -4
README.md
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- The axes are not purely industries and products. ind_use also carries final demand (P3_S13/S14/S15, P51G, P5M) and prd_ava also carries value added (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES). Summing an axis without separating these adds final demand to industry output.
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- Reporting areas are Eurostat geo codes: EL is Greece, UK is the United Kingdom and WRL_REST is the rest of the world. scales/figaro_geo.csv maps them to ISO3 where one exists.
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- DOM ('Domestic country') in c_orig is NOT a partner country and does NOT duplicate the self-pair. Verified on the 2020 use table: it appears on exactly the six value-added rows (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES) and on nothing else, with zero overlap against the 64 products -- value added has no foreign origin. So c_orig is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds value added to intermediate inputs.
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- Datasets above 10M rows are written hive-partitioned by year
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## Using it
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- The axes are not purely industries and products. ind_use also carries final demand (P3_S13/S14/S15, P51G, P5M) and prd_ava also carries value added (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES). Summing an axis without separating these adds final demand to industry output.
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- Reporting areas are Eurostat geo codes: EL is Greece, UK is the United Kingdom and WRL_REST is the rest of the world. scales/figaro_geo.csv maps them to ISO3 where one exists.
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| 86 |
- DOM ('Domestic country') in c_orig is NOT a partner country and does NOT duplicate the self-pair. Verified on the 2020 use table: it appears on exactly the six value-added rows (B2A3G, D1, D21X31, D29X39, OP_RES, OP_NRES) and on nothing else, with zero overlap against the 64 products -- value added has no foreign origin. So c_orig is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds value added to intermediate inputs.
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+
- Datasets above 10M rows are written hive-partitioned by year, the rest as a single part. `storage.layout` says which, and a hive dataset must be opened as a dataset (with its year partitioning), not as one file.
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## Using it
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datasets/figaro_land_footprints/dataset.yml
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parts: 1
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compression: zstd
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bytes: 2955
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energyrt_readable: yes
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part_sha256: ceeb54fd60394bc29e6b3f5b2046a6546c97b5ce0731adbd3c776429bb10e957
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parts: 1
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compression: zstd
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bytes: 2955
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part_sha256: ceeb54fd60394bc29e6b3f5b2046a6546c97b5ce0731adbd3c776429bb10e957
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datasets/figaro_supply/dataset.yml
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parts: 1
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compression: zstd
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bytes: 2974684
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energyrt_readable: yes
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part_sha256: 08a6873647926a635cd27d9e255e5afd407a8ed52aa5ad378b548718c9884d7a
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parts: 1
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compression: zstd
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bytes: 2974684
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part_sha256: 08a6873647926a635cd27d9e255e5afd407a8ed52aa5ad378b548718c9884d7a
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datasets/figaro_use/dataset.yml
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parts: 15
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compression: zstd
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bytes: 142749397
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energyrt_readable: no
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part_sha256: ~
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parts: 15
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compression: zstd
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bytes: 142749397
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part_sha256: ~
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source.yml
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overlap against the 64 products -- value added has no foreign origin. So c_orig
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is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds
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value added to intermediate inputs.'
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-
- Datasets above 10M rows are written hive-partitioned by year
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-
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-
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-
records this as storage.energyrt_readable.
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overlap against the 64 products -- value added has no foreign origin. So c_orig
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is additive; it is the PRODUCT axis that is not, because summing all 70 codes adds
|
| 75 |
value added to intermediate inputs.'
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| 76 |
+
- Datasets above 10M rows are written hive-partitioned by year, the rest as a single
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+
part. `storage.layout` says which, and a hive dataset must be opened as a dataset
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+
(with its year partitioning), not as one file.
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