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Edited
Jun 3, 2024
Fork of SQL Course: Session 1
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import { pizzeriaDB } from '@observablehq/pizza-paradise-data'
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whereIHaveLived = [
{location: "Long Island", date: "2000-01-01"},
{location: "Poughkeepsie", date: "2005-09-01"},
{location: "Prague", date: "2007-09-01"},
{location: "Poughkeepsie", date: "2008-01-01"},
{location: "Brooklyn", date: "2009-06-01"},
{location: "Boulder", date: "2011-08-01"},
{location: "Brooklyn", date: "2013-04-01"},
{location: "Boulder", date: "2019-12-01"},
]
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whereIHaveLived
SELECT * FROM whereIHaveLived
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pizzeriaDB
SELECT * FROM stores
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pizzeriaDB
SELECT city
, zipcode
, state
FROM stores
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pizzeriaDB
SELECT DISTINCT state
FROM stores
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pizzeriaDB
SELECT DISTINCT state
, city
FROM stores
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pizzeriaDB
SELECT state
, count(*) as num_stores
FROM stores
GROUP BY state
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pizzeriaDB
SELECT count(*) as num_stores
FROM stores
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pizzeriaDB
SELECT count(distinct state) as num_stores
FROM stores
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pizzeriaDB
SELECT count(*) as num_products
FROM products
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pizzeriaDB
SELECT Category
, avg(Price) as avg_price
, count(*) as num_products
FROM products
GROUP BY Category
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pizzeriaDB
Type SQL, then Shift-Enter. Ctrl-space for more options.

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pizzeriaDB
SELECT Category
, "Size"
, avg(Price) as avg_price
, count(*) as num_products
FROM products
GROUP BY Category
, "Size"
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One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
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