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README.md

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+---
+license: mit
+task_categories:
+  - tabular-classification
+  - tabular-regression
+tags:
+  - campaign-finance
+  - fec
+  - elections
+  - political-donations
+  - pac
+  - lobbying
+  - duckdb
+  - government-data
+  - politics
+  - united-states
+pretty_name: FEC Campaign Finance Database
+size_categories:
+  - 100M<n<1B
+---
+
+# FEC Campaign Finance Database
+
+A clean, queryable DuckDB database built from [FEC bulk data](https://www.fec.gov/data/browse-data/?tab=bulk-data) covering federal campaign finance filings.
+
+**297,272,747 rows** across **10 tables** covering candidates, committees, individual contributions, PAC spending, and more.
+
+Built with [fec-database](https://github.com/ian-nason/fec-database).
+
+## Quick Start
+
+### DuckDB CLI
+
+```sql
+INSTALL httpfs;
+LOAD httpfs;
+ATTACH 'https://huggingface.co/datasets/Nason/fec-database/resolve/main/fec.duckdb' AS fec (READ_ONLY);
+
+-- Top presidential candidates by individual donations (2024 cycle)
+SELECT c.CAND_NAME, c.CAND_PTY_AFFILIATION AS party,
+    SUM(i.TRANSACTION_AMT) AS total, COUNT(*) AS donations
+FROM fec.individual_contributions i
+JOIN fec.candidates c ON i.CMTE_ID = c.CAND_PCC AND i.cycle = c.cycle
+WHERE i.cycle = 2024 AND c.CAND_OFFICE = 'P' AND i.TRANSACTION_AMT > 0
+GROUP BY 1, 2 ORDER BY total DESC LIMIT 10;
+```
+
+### Python
+
+```python
+import duckdb
+con = duckdb.connect()
+con.sql("INSTALL httpfs; LOAD httpfs;")
+con.sql(\"\"\"
+    ATTACH 'https://huggingface.co/datasets/Nason/fec-database/resolve/main/fec.duckdb'
+    AS fec (READ_ONLY)
+\"\"\")
+con.sql("SELECT * FROM fec._metadata").show()
+```
+
+DuckDB uses HTTP range requests, so only the pages needed for your query are downloaded.
+
+## Tables
+
+| Table | Description | Rows | Cols | Cycles |
+|-------|-------------|------|------|--------|
+| `individual_contributions` | Every individual donation: name, employer, occupation, amount, date | 226,607,614 | 22 | 2004-2026 |
+| `committee_to_committee` | Transfers between committees | 45,559,049 | 22 | 2004-2026 |
+| `operating_expenditures` | Committee operating expenditures: payee, purpose, amount | 18,875,347 | 26 | 2004-2026 |
+| `committee_contributions` | PAC/party contributions to candidates | 5,214,013 | 23 | 2004-2026 |
+| `independent_expenditures` | Independent expenditures for/against candidates | 664,775 | 258 | 2010-2026 |
+| `committees` | Committee master: name, type, party, treasurer, connected org | 183,599 | 16 | 2004-2026 |
+| `candidate_committee_links` | Which committees are authorized by which candidates | 73,520 | 8 | 2004-2026 |
+| `candidates` | Candidate master: name, party, office, state, district, status | 67,702 | 16 | 2004-2026 |
+| `communication_costs` | Internal communications supporting/opposing candidates | 25,558 | 27 | 2010-2026 |
+| `electioneering_communications` | Broadcast ads mentioning candidates near elections | 1,570 | 397 | 2010-2024 |
+
+## Pre-built Views
+
+| View | Description |
+|------|-------------|
+| `v_candidate_totals` | Candidate fundraising totals from individual contributions |
+| `v_top_donors` | Aggregated donor activity across all cycles |
+| `v_pac_to_candidate` | PAC-to-candidate contributions with org names |
+| `v_daily_donations` | Daily donation volume and amounts |
+
+## Data Source
+
+[Federal Election Commission](https://www.fec.gov/data/browse-data/?tab=bulk-data). Bulk data files are public domain and updated weekly.
+
+## License
+
+Database build code: MIT. Underlying data: public domain (U.S. government records).
+
+## GitHub
+
+Full source code, build instructions, and example queries: [github.com/ian-nason/fec-database](https://github.com/ian-nason/fec-database)