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Remove Iowa Liquor example #72

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6 changes: 0 additions & 6 deletions apps.md
Original file line number Diff line number Diff line change
Expand Up @@ -71,9 +71,3 @@ gcloud config set project {my_project_id} --installation
name="Hacker News"
description="Posts from news.ycombinator.com"
-->

<!-- malloy-app
app="bigquery_iowa"
name="Iowa Liquor Store Purchases"
description="Public data from state owned Iowa Liquor Stores"
-->
4 changes: 0 additions & 4 deletions bigquery/README.md
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Expand Up @@ -12,10 +12,6 @@ gcloud config set project {my_project_id} --installation

This set of models points at a publicly available FAA flights dataset including information on flights, airports, air crafts and aircraft models from 2000 to 2005. A wide variety of patterns and features are used in this model and any of our examples in documentation are based on this dataset, so it's a great place to start as you get to know Malloy.

## [Iowa Liquor](iowa)

Liquor sales in Iowa are state-controlled, with all liquor wholesale run by the state. All purchases and sales of liquor that stores make are a matter of public record. A walk through of exploring and modeling this dataset can be found [here](https://malloydata.github.io/documentation/examples/iowa/iowa.html); this makes a great introduction to Malloy.

## [E-commerce](ecommerce)

This model points to a dataset for a fictitious e-commerce business. It has a clean and typical schema for a transactional dataset. It also includes an example of an interesting brand affinity analysis (people who buy x also buy y). An example of how to use dataset can be found [here](https://malloydata.github.io/documentation/examples/ecommerce.html).
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44 changes: 0 additions & 44 deletions bigquery/iowa/README.malloynb

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151 changes: 0 additions & 151 deletions bigquery/iowa/iowa.malloy

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4 changes: 0 additions & 4 deletions composer.json
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Expand Up @@ -36,10 +36,6 @@
"id": "bigquery_hackernews",
"path": "./bigquery/hackernews/"
},
{
"id": "bigquery_iowa",
"path": "./bigquery/iowa/"
},
{
"id": "bigquery_the_met",
"path": "./bigquery/the_met/"
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