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Doc: Filter by value update (#111881) 

doc(transformation): filter by value
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Ihor Yeromin 2025-10-01 16:43:14 +02:00 committed by GitHub
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12
docs/sources/panels-visualizations/query-transform-data/transform-data/index.md
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@ -452,24 +452,28 @@ This transformation is very useful if your data source does not natively filter
The available conditions for all fields are:
- **Regex** - Match a regex expression.
- **Is Null** - Match if the value is null.
- **Is Not Null** - Match if the value is not null.
- **Equal** - Match if the value is equal to the specified value.
- **Different** - Match if the value is different than the specified value.
- **Not Equal** - Match if the value is not equal to the specified value.
- **Regex** - Match a regex expression.
The available conditions for string fields are:
- **Contains substring** - Match if the value contains the specified substring (case insensitive).
- **Does not contain substring** - Match if the value doesn't contain the specified substring (case insensitive).
The available conditions for number and time fields are:
The available conditions for number fields are:
- **Greater** - Match if the value is greater than the specified value.
- **Lower** - Match if the value is lower than the specified value.
- **Greater or equal** - Match if the value is greater or equal.
- **Lower or equal** - Match if the value is lower or equal.
- **Range** - Match a range between a specified minimum and maximum, min and max included. A time field will pre-populate with variables to filter by selected time.
- **In between** - Match a range between a specified minimum and maximum, min and max included.
The available conditions for time fields are:
- **In between** - Match a range between a specified minimum and maximum. The min and max values will pre-populate with variables to filter by selected time.
Consider the following dataset:

12
public/app/features/transformers/docs/content.ts
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@ -369,24 +369,28 @@ This transformation is very useful if your data source does not natively filter
The available conditions for all fields are:
- **Regex** - Match a regex expression.
- **Is Null** - Match if the value is null.
- **Is Not Null** - Match if the value is not null.
- **Equal** - Match if the value is equal to the specified value.
- **Different** - Match if the value is different than the specified value.
- **Not Equal** - Match if the value is not equal to the specified value.
- **Regex** - Match a regex expression.
The available conditions for string fields are:
- **Contains substring** - Match if the value contains the specified substring (case insensitive).
- **Does not contain substring** - Match if the value doesn't contain the specified substring (case insensitive).
The available conditions for number and time fields are:
The available conditions for number fields are:
- **Greater** - Match if the value is greater than the specified value.
- **Lower** - Match if the value is lower than the specified value.
- **Greater or equal** - Match if the value is greater or equal.
- **Lower or equal** - Match if the value is lower or equal.
- **Range** - Match a range between a specified minimum and maximum, min and max included. A time field will pre-populate with variables to filter by selected time.
- **In between** - Match a range between a specified minimum and maximum, min and max included.
The available conditions for time fields are:
- **In between** - Match a range between a specified minimum and maximum. The min and max values will pre-populate with variables to filter by selected time.
Consider the following dataset: