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Fix some typos #138

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Fix some typos #138

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09f2dc3
Fix disagreement between code sample and prose.
goomrw Dec 2, 2023
11fd096
Stitch up split-up example
goomrw Dec 2, 2023
2cbf940
Say airports.malloy to match model files.
goomrw Dec 2, 2023
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8 changes: 4 additions & 4 deletions src/documentation/user_guides/basic.malloynb
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Expand Up @@ -110,15 +110,15 @@ The basic types of Malloy expressions are `string`, `number`, `boolean`, `date`,

One of the main benefits of Malloy is the ability to save common calculations into a data model. The data model is made of *sources*, which can be thought of as tables or views, but with additional information, such as joins, dimensions and measures.

In the example below, we create a *source* object named `airports` and add a `dimension` calculation for `county_and_state` and `measure` calculation for `airport_count`. Dimensions can be used in `group_by`, `project` and `where`. Measures can be used in `aggregate` and `having`.
In the example below, first we create a *source* object named `airports` and add a `dimension` calculation for `county_and_state` and `measure` calculation for `airport_count`. We then query the `airports` source, grouping by the `county_and_state` dimension and aggregating with the `airport_count` measure.
Dimensions can be used in `group_by`, `project` and `where`. Measures can be used in `aggregate` and `having`.
>>>malloy
source: airports is duckdb.table('../data/airports.parquet') extend {
dimension: county_and_state is concat(county, ', ', state)
measure: airport_count is count()
measure: average_elevation is avg(elevation)
}
>>>markdown
>>>malloy

run: airports -> {
group_by: county_and_state
aggregate: airport_count
Expand All @@ -128,7 +128,7 @@ run: airports -> {
Sources that are defined in one file can be imported into another using `import "path/to/some/file.malloy"`. For example, if the `airports` source above were defined in a file called `flights.malloy`, you could create a new file that imports it and immediately start using the `airports` source:
>>>markdown
```malloy
import "airports.malloy"
import "flights.malloy"
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run: airports -> {
group_by: county_and_state
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