DBT: Jjhinrichsen 2023 Csv
File location: s3://trase-storage/brazil/logistics/jjhinrichsen/jjhinrichsen_2023.csv
DBT model name: jjhinrichsen_2023_csv
Explore on Metabase: Full table; summary statistics
Explore dependencies/lineage: link
Description
2023 crushing-capacity figures, manually extracted from the JJ Hinrichsen PDF (jjhinrichsen_2023_pdf) into a CSV; consumed by CRUSHING_FACILITIES_2003_2023.py. Superseded from 2024 onwards by the ABIOVE_CAPACITY_MAP Python literal (see the jj_hinrichsen_anuario doc).
Details
| Column | Type | Description |
|---|---|---|
Company |
VARCHAR |
|
location |
VARCHAR |
|
Department |
VARCHAR |
|
Capacity |
VARCHAR |
|
Process |
VARCHAR |
|
Seed |
VARCHAR |
|
Remarks |
VARCHAR |
No data tests defined 🧐
import pandas as pd
def model(dbt, cursor):
dbt.source("trase-storage-raw", "jjhinrichsen_2023_pdf")
raise NotImplementedError()
return pd.DataFrame({"hello": ["world"]})
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Dbt path:
memory.main.jjhinrichsen_2023_csv -
Containing yaml link: trase/data_pipeline/models/brazil/logistics/jjhinrichsen/_schema.yml
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Model file: trase/data_pipeline/models/brazil/logistics/jjhinrichsen/jjhinrichsen_2023_csv.py
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Tags:
mock_model,brazil,logistics,brazil_soy_2022_2025_update