issue_comm_exp
6 rows where city = "San Jose" and expenditure_type = "Office Equipment & Supplies"
This data as json, CSV (advanced)
Suggested facets: expenditure_amount
Link | rowid ▼ | committee | committee_type | expenditure_amount | expenditure_date | recipient | city | state | zip | expenditure_type | explanation |
---|---|---|---|---|---|---|---|---|---|---|---|
1036 | 1036 | Natural Medicine Colorado | Issue Committee | 31.4 | 6/13/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies | |
1167 | 1167 | Natural Medicine Colorado | Issue Committee | 31.4 | 7/13/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies | |
1337 | 1337 | Natural Medicine Colorado | Issue Committee | 31.4 | 8/15/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies | |
1345 | 1345 | Natural Medicine Colorado | Issue Committee | 28.36 | 8/16/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies | |
1530 | 1530 | Natural Medicine Colorado | Issue Committee | 78.5 | 9/12/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies | |
2276 | 2276 | Natural Medicine Colorado | Issue Committee | 78.5 | 11/14/22 | Zoom | San Jose | CA | 95113 | Office Equipment & Supplies |
Advanced export
JSON shape: default, array, newline-delimited
CREATE TABLE "issue_comm_exp" ( "committee" TEXT, "committee_type" TEXT, "expenditure_amount" REAL, "expenditure_date" TEXT, "recipient" TEXT, "city" TEXT, "state" TEXT, "zip" TEXT, "expenditure_type" TEXT, "explanation" TEXT );