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Download fred/README.md from syncster-data/economic-data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/syncster-data/economic-data/resolve/main/fred/README.md
- Command line
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hf download hf://datasets/syncster-data/economic-data/fred/README.md
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curl -L -o README.md https://huggingface.co/datasets/syncster-data/economic-data/resolve/main/fred/README.md
1.33 kB
| # FRED (Federal Reserve Economic Data) | |
| 512,407 series so far, most popular first; more are added as the pull continues. | |
| Long format: `series_id`, `date`, `value` (missing values are null). Metadata (title, units, frequency, seasonal adjustment, category, dates, notes) in `fred/catalog.parquet`. | |
| ```python | |
| import pandas as pd | |
| cat = pd.read_parquet('hf://datasets/syncster-data/economic-data/fred/catalog.parquet') | |
| df = pd.read_parquet('hf://datasets/syncster-data/economic-data/fred/<category>/') # e.g. money_banking_finance | |
| unrate = df[df.series_id == 'UNRATE'] | |
| ``` | |
| | folder | series | | |
| |---|---| | |
| | `academic_data` | 16,628 | | |
| | `international_data` | 56,812 | | |
| | `money_banking_finance` | 8,137 | | |
| | `national_accounts` | 54,441 | | |
| | `population_employment_labor_markets` | 14,130 | | |
| | `prices` | 8,010 | | |
| | `production_business_activity` | 32,770 | | |
| | `u_s_regional_data` | 321,479 | | |
| ## Credit | |
| Source: FRED, Federal Reserve Bank of St. Louis, https://fred.stlouisfed.org/. Many series originate with other agencies (BLS, BEA, Census, Federal Reserve Board, etc.); credit the original source shown in each series description. Some series are copyrighted by third parties; those are flagged in the catalog `license` column. This product uses the FRED API but is not endorsed or certified by the Federal Reserve Bank of St. Louis. | |