items

Table actions

Data source: mySociety Data · About: simonw/register-of-members-interests-datasette

1 row where record_id = "2016-10-31-2fa6c1a9-24922-0" sorted by date descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: date (date)

hash item category_id date ▲ member_id person_id sort_order record_id
6e0d6b194fb6f42bc3791cfa2c7290b69d002c0c Name of donor: F. Vindis & Sons (Bedford) Address of donor: Vindis House, Washingley Road, Huntingdon PE29 6WP Amount of donation or nature and value if donation in kind: £3,000 Donor status: company, registration 02970761 (Registered 31 May 2016) (a) Support linked to an MP but received by a local party organisation or indirectly via a central party organisation 2fa6c1a9 2016-10-31   Ben Gummer uk.org.publicwhip/person/24922 0 2016-10-31-2fa6c1a9-24922-0

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE items (
        hash VARCHAR(40) NOT NULL,
        item TEXT,
        category_id TEXT,
        date TEXT,
        member_id TEXT,
        person_id TEXT,
        sort_order INTEGER,
        record_id TEXT,
        PRIMARY KEY (hash),
        FOREIGN KEY ("category_id") REFERENCES [categories](id),
        FOREIGN KEY ("member_id") REFERENCES [members](id),
        FOREIGN KEY ("person_id") REFERENCES [people](id)
    );
CREATE INDEX items_date ON items("date");
CREATE INDEX items_category_id ON items("category_id");
CREATE INDEX items_member_id ON items("member_id");
CREATE INDEX items_person_id ON items("person_id");
CREATE INDEX items_record_id ON items("record_id");