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Commit 86ceabca authored by Sameer Al-Sakran's avatar Sameer Al-Sakran
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some example yaml files

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Title: Useful Metrics about [[GenericTable]] (Autogenerated)
Description: Some useful metrics about the [[GenericTable]] table to get you started.
Metrics:
- Count:
metric: ["count"]
score: 100
Filters:
- Last30Days
[relative-datetime, TimeStamp, -30, days]
Dimensions:
- Latitude:
field_type: Latitude
score: 100
- Longitude:
field_type: Longitude
score: 100
- Country:
field_type: Country
score: 100
- State:
field_type: State
score: 100
- JoinDate:
field_type: JoinTimeStamp
score: 100
- JoinDate:
field_type: CreationTimeStamp
score: 90
- JoinDate:
field_type: TimeStamp
score: 50
- GenericNumber:
field_type: Number
score: 50
- AcquisitionChannel:
field_type: AcquisitionChannel
score: 100
- GenericCategory:
field_type: Category
score: 75
Cards:
- UsersOverTime:
title: Users over time
description: The number of users joining over time
metric: ActiveUsers
dimensions: JoinDate
visualization: line
score: 100
- UsersByCountry:
title: Users by country
description: The users by country of residence
metric: ActiveUsers
dimensions: Country
score: 100
visualization: [map, {map.type: region,
map.region: world}]
- UsersByChannel:
tile: Users by Acquisition Channel
description: The number of users from each acquistition source
metric: ActiveUsers
dimensions: AcquisitionChannel
filters: Last30Days
visualization: row
score: 100
- UsersByCategory:
title: Users by [[fieldName]]
query: select count(*) from [[UsersTable]] group by [[GenericCategory]]
visualization: row
score: 50
- UsersByChannelAndCategory
title: Users By Acquisition Channel and [[GenericCategory]]
metric: ActiveUsers
dimensions: AcquisitionChannel, GenericCategory
visualization: row
score: 30
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Title: Useful Metrics about [[GenericTable]] (Autogenerated)
Description: Some useful metrics about the [[GenericTable]] table to get you started.
Metrics:
- Count:
metric: ["count"]
score: 100
- TotalRevenue:
metric: ["sum", TransactionAmount]
score: 100
- UnitsSold:
metric: ["sum", Quantity]
score: 100
Filters:
- Last30Days
[relative-datetime, TimeStamp, -30, days]
Dimensions:
- AcquisitionChannel:
field_type: UserTable.AcquisitionChannel
score: 100
- UserCountry:
field_type: UserTable.Country
score: 100
- ProductCategory:
field_type: ProductTable.Category
score: 75
Cards:
- UnitsSoldByTime:
title: Units Sold by time
description: The number of widgets sold
metric: UnitsSold
dimensions: TimeStamp
visualization: line
score: 100
- RevenueByTime:
title: Revenue by time
description: Revenue made via orders by time.
metric: TotalRevenue
dimensions: TimeStamp
visualization: line
score: 100
- UnitsSoldByCountry:
title: Units Sold by country
description: Total units sold by country of residence
metric: UnitsSold
dimensions: UserCountry
score: 100
visualization: [map, {map.type: region,
map.region: world}]
- RevenueByCountry:
title: Revenue by country
description: Total Revenue by country of residence
metric: TotalRevenue
dimensions: UserCountry
score: 100
visualization: [map, {map.type: region,
map.region: world}]
- UnitsSoldByChannel:
tile: Units Sold by Acquisition Channel
description: Total units sold by acquistition source
metric: UnitsSold
dimensions: AcquisitionChannel
visualization: bar
score: 100
- RevenueByChannel:
tile: Revenue by Acquisition Channel
description: Total Revenue by acquistition source
metric: TotalRevenue
dimensions: AcquisitionChannel
visualization: bar
score: 100
Title: User Metrics (Autogenerated)
Description: Some useful metrics about your users to get you started.
Metrics:
- ActiveUsers:
metric: ["count"]
score: 100
-AverageAge:
required_field: BirthDate
metric: ["-", ["NOW", BirthDate]]
score: 100
Filters:
- Last30Days
[relative-datetime, JoinDate, -30, days]
Dimensions:
- Latitude:
field_type: Latitude
score: 100
- Longitude:
field_type: Longitude
score: 100
- Country:
field_type: Country
score: 100
- State:
field_type: State
score: 100
- JoinDate:
field_type: UserJoinTimestamp
score: 100
- JoinDate:
field_type: CreationTimeStamp
score: 90
- JoinDate:
field_type: TimeStamp
score: 50
- GenericNumber:
field_type: Number
score: 50
- AcquisitionChannel:
field_type: AcquisitionChannel
score: 100
- GenericCategory:
field_type: Category
score: 75
Cards:
- UsersOverTime:
title: Users over time
description: The number of users joining over time
metric: ActiveUsers
dimensions: JoinDate
visualization: line
score: 100
- UsersByCountry:
title: Users by country
description: The users by country of residence
metric: ActiveUsers
dimensions: Country
score: 100
visualization: [map, {map.type: region,
map.region: world}]
- UsersByChannel:
tile: Users by Acquisition Channel
description: The number of users from each acquistition source
metric: ActiveUsers
dimensions: AcquisitionChannel
filters: Last30Days
visualization: row
score: 100
- UsersByCategory:
title: Users by [[fieldName]]
query: select count(*) from [[UsersTable]] group by [[GenericCategory]]
visualization: row
score: 50
- UsersByChannelAndCategory
title: Users By Acquisition Channel and [[GenericCategory]]
metric: ActiveUsers
dimensions: AcquisitionChannel, GenericCategory
visualization: row
score: 30
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