sections

1 row where breadcrumbs = "["Getting started"]", page = "getting_started" and title = "Play with a live demo"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: breadcrumbs (array)

id ▼ page ref title content breadcrumbs references
getting_started:getting-started-demo getting_started getting-started-demo Play with a live demo The best way to experience Datasette for the first time is with a demo: global-power-plants.datasettes.com provides a searchable database of power plants around the world, using data from the World Resources Institude rendered using the datasette-cluster-map plugin. fivethirtyeight.datasettes.com shows Datasette running against over 400 datasets imported from the FiveThirtyEight GitHub repository . ["Getting started"] [{"href": "https://global-power-plants.datasettes.com/global-power-plants/global-power-plants", "label": "global-power-plants.datasettes.com"}, {"href": "https://www.wri.org/publication/global-power-plant-database", "label": "World Resources Institude"}, {"href": "https://github.com/simonw/datasette-cluster-map", "label": "datasette-cluster-map"}, {"href": "https://fivethirtyeight.datasettes.com/fivethirtyeight", "label": "fivethirtyeight.datasettes.com"}, {"href": "https://github.com/fivethirtyeight/data", "label": "FiveThirtyEight GitHub repository"}]

Advanced export

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

CSV options: 

CREATE TABLE [sections] (
   [id] TEXT PRIMARY KEY,
   [page] TEXT,
   [ref] TEXT,
   [title] TEXT,
   [content] TEXT,
   [breadcrumbs] TEXT,
   [references] TEXT
);