QPR ProcessAnalyzer Table
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Table conditional formatting is defined as a JSON object with following allowed properties:
- backgroundColor / textColor / iconColor / databarColor
- rules
- scale
- color: To define a fixed color.
- icon
- databar
- min
- max
- databarColor
- rules: rules are check in their order and the first matching determines the color.
- color
- limit
- comparison: <, >, <=, >=, ==, !=
- scale
- color
- value
Example: Background color is based on the following rules:
- if value is lower or equal to 5, background color is #FF0000
- if value is between, 5 and 10, background color is #FFFF00
- if value is greated than 10, background color is #00FF00
{
"backgroundColor": {
"rules": [
{
"color": "#FF0000",
"limit": 5,
"comparison": "<="
},
{
"color": "#FFFF00",
"limit": 10,
"comparison": "<="
},
{
"color": "#00FF00",
"limit": 50,
"comparison": ">"
}
]
}
}
Example: Background color is based on a color scale where column minimum value gets color #FFFFFF and maximum value #FFD851. Color is scaled linearly between these colors.
{
"backgroundColor": {
"scale": [
{
"value": { "aggregate": "min" },
"color": "#FFFFFF"
},
{
"value": { "aggregate": "max" },
"color": "#FFD851"
}
]
}
}
Example: Similar to previous example, except minimum and maximum values come from another column (measure number 1).
{
"backgroundColor": {
"scale": [
{
"value": { "type":"measure", "index": 1, "aggregate": "min" },
"color": "#FFFFFF"
},
{
"value": { "type":"measure", "index": 1, "aggregate": "max" },
"color": "#FFD851"
}
]
}
}
The following setting defined a fixed color for the column.
{
"backgroundColor": {
"color": "#FFD851"
}
}
Rules are applied to the text color.
{
"textColor": {
"rules": [
{
"color": "#FF0000",
"limit": 20,
"comparison": "<="
},
{
"color": "#00FF00"
}
]
}
}
{
"icon": {
"rules": [
{
"icon": "sentiment_satisfied_alt",
"limit": 100,
"comparison": ">"
},
{
"icon": "sentiment_very_dissatisfied"
}
]
},
"iconColor": {
"rules": [
{
"color": "#36d475",
"limit": 100,
"comparison": ">"
},
{
"color": "#EF5254"
}
]
}
}
{
"databar": {
"min": 0,
"max": { "aggregate": "max" }
}
}