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Basic Usage 
{% big_value
  data="demo_daily_orders"
  value="sum(total_sales)"
  fmt="usd1m"
/%}

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Examples

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Basic Usage

Basic Usage 
{% big_value
  data="demo_daily_orders"
  value="sum(total_sales)"
  fmt="usd1m"
/%}

​
Comparison

Comparison 
{% big_value
	data="demo_daily_orders"
	value="sum(total_sales)"
	fmt="usd1m"
	date_range={
		date="date"
		range="last 12 months"
	}
	comparison={
		compare_vs="prior year"
	}
/%}

​
Sparkline

Sparkline 
{% big_value
	data="demo_daily_orders"
	value="sum(total_sales)"
	fmt="usd1m"
	sparkline={
		type="line"
		x="date"
	}
/%}

​
Text Size

{% big_value
	data="demo_daily_orders"
	value="sum(total_sales)"
	fmt="usd1m"
	text_size="4xl"
/%}

​
Attributes

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data
string
required
Table or view to query
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value
string
required
The column name for the main value to display
​
date_range
options group
Use date_range to filter data for specific time periods. Accepts predefined ranges (e.g., “last 12 months”), dynamic ranges (e.g., “Last 90 days”), custom date ranges (e.g., “2020-01-01 to 2023-03-01”), or partial ranges (e.g., “from 2020-01-01”, “until 2023-03-01”)Example:
date_range={
  range = "last 7 days"
  date = "string"
}
Attributes:
  • range: string - Time period to filter. Use presets like ‘last 7 days’, dynamic patterns like ‘Last 90 days’, custom ranges like ‘2020-01-01 to 2023-03-01’, or partial ranges like ‘from 2020-01-01’.
    • Allowed values:
      • last 7 days
      • last 30 days
      • last 3 months
      • last 6 months
      • last 12 months
      • week to date
      • month to date
      • quarter to date
      • year to date
      • previous week
      • previous month
      • previous quarter
      • previous year
      • all time
  • date: string - Date column to filter on. Required when the data has multiple date columns.
​
comparison
options group
Comparison configuration objectExample:
comparison={
  compare_vs = "prior year"
  display_type = "compared_value"
  target = "string"
  benchmark = {
    agg = "avg"
    subject = "store_name"
    within = ["region"]
  }
  hide_pct = true
  pct_fmt = "string"
  abs_fmt = "string"
  text = "string"
  delta = true
  down_is_good = true
  neutral_range = []
}
Attributes:
  • compare_vs: string - Type of comparison to perform. Options: prior year (same period last year), prior period (previous period of same duration), target (compare against a target value), benchmark (compare against group average/aggregate)
    • Allowed values:
      • prior year
      • prior period
      • target
      • benchmark
  • display_type: string - What to display for comparison. Options: compared_value (comparison period value), abs (absolute change), pct (percentage change). Default: pct
    • Allowed values:
      • compared_value
      • abs
      • pct
  • target: string - Target value for target comparison. Can be a column name, aggregation (e.g., “sum(target_sales)”), or literal value.
  • benchmark: options group
    • Options:
      • agg: string - Aggregation function to apply across benchmark group. Options: avg (average), median, min, max, sum, count, count_distinct
        • Allowed values:
          • avg
          • median
          • min
          • max
          • sum
          • count
          • count_distinct
      • subject: string - Column or expression that defines individual entities in the benchmark (e.g., “store_name”, “customer_id”). Required for single-value components.
      • value: string - Optional column or expression to use for benchmark calculation. If not specified, uses the main value column. Useful if you have a pre-aggregated benchmark table for RLS reasons.
      • within: array of strings - Dimension columns to group the benchmark by (e.g., [“region”]). Leave empty for dataset-wide benchmark.
      • where: string - SQL WHERE clause to filter which entities are included in the benchmark
      • exclude_self: boolean - Exclude the current row from its own benchmark calculation (table context only). Default: false
  • hide_pct: boolean - Hide the percentage change line in comparison tooltips
  • pct_fmt: string - Format code for percentage values in comparison tooltips
  • abs_fmt: string - Format code for absolute values in comparison tooltips
  • text: string - Text displayed after the comparison value
  • delta: boolean - Whether to display the comparison as a delta
  • down_is_good: boolean - Whether a decrease is considered positive
  • neutral_range: array - Range [min, max] for neutral values. Use null for infinity (e.g., [null, 0] means anything ≤ 0 is neutral)
​
sparkline
options group
Sparkline configuration objectExample:
sparkline={
  type = "line"
  color = "string"
  x = "string"
  y_fmt = "string"
  x_fmt = "string"
  fit_to_data = true
  connect_group = "string"
  date_grain = "year"
  date_range = {
    range = "last 7 days"
    date = "string"
  }
}
Attributes:
  • type: string - The type of sparkline to display
    • Allowed values:
      • line
      • area
      • bar
  • color: string - Color for the sparkline
  • x: string - X column for the sparkline
  • y_fmt: string - Value format for the sparkline tooltips
  • x_fmt: string - Date format for the sparkline tooltips
  • fit_to_data: boolean - Whether to fit the Y axis scale to the data range
  • connect_group: string - Connect group for the sparkline
  • date_grain: string - Time grain for the sparkline data points
    • Allowed values:
      • year
      • quarter
      • month
      • week
      • day
      • hour
      • minute
  • date_range: options group
    • Options:
      • range: string - Time period to filter. Use presets like ‘last 7 days’, dynamic patterns like ‘Last 90 days’, custom ranges like ‘2020-01-01 to 2023-03-01’, or partial ranges like ‘from 2020-01-01’.
        • Allowed values:
          • last 7 days
          • last 30 days
          • last 3 months
          • last 6 months
          • last 12 months
          • week to date
          • month to date
          • quarter to date
          • year to date
          • previous week
          • previous month
          • previous quarter
          • previous year
          • all time
      • date: string - Date column to filter on. Required when the data has multiple date columns.
​
fmt
string
Format for the main value. See Value Formatting for available formats.
​
title
string
Title for the main value
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max_width
string
default:"fit-content"
Maximum width of the component
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min_width
string
default:"auto"
Minimum width of the component
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text_size
string
Text size for the value. Options: sm, base, lg, xl (default), 2xl, 3xl, 4xl, 5xlAllowed values:
  • sm
  • base
  • lg
  • xl
  • 2xl
  • 3xl
  • 4xl
  • 5xl
​
title_class
string
Additional CSS classes for the title
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value_class
string
Additional CSS classes for the value
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link
string
URL to link the value to
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info
string
Information tooltip text
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info_link
string
URL to link the info text to (can only be used with info)
​
info_link_title
string
Create a custom link title for the info link, placed after the info text (can only be used with info_link)
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filters
array
IDs of filters to apply to the query
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where
string
Custom SQL WHERE condition to apply to the query. For date filters, use date_range instead.
​
having
string
Custom SQL HAVING condition to apply to the query after GROUP BY
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limit
number
Maximum number of rows to return from the query. Note: When used with tables, limit will disable subtotals to prevent incomplete subtotal rows.
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order
string
Column name(s) with optional direction (e.g. “column_name”, “column_name desc”)
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qualify
string
Custom SQL QUALIFY condition to filter windowed results
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class_name
string
Additional CSS classes for the component
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refresh_interval
number
Time in seconds between automatic data refreshes (minimum 60). Overrides the page-level auto-refresh setting for this component.
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width
number
Set the width of this component (in percent) relative to the page width