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AnyDB Chart Cells

Chart cells allow you to visualize numeric data directly inside a record. They are designed for operational use cases where trends, comparisons, and breakdowns need to live next to the underlying data.

AnyDB currently supports:

  • Line Charts
  • Bar Charts
  • Pie Charts

All chart types are configured by referencing other cells that contain array data.

Charts

Common Chart Fields

These fields appear across all chart types.

FieldDescription
FormatMust be set to Chart to render a chart in the cell.
Chart TypeDetermines how data is visualized: Line, Bar, or Pie.
Chart TitleTitle displayed at the top of the chart.
Series NameLabel shown in the chart legend for a data series.
Series ValuesReference to a cell containing a numeric array.
Add SeriesAdds an additional data series to the chart (Line and Bar only).

Axis-Based Chart Fields (Line and Bar)

These fields apply to charts that use an X and Y axis.

FieldDescription
X Axis LabelsReference to a cell containing the category or time labels (array).
X Axis TitleLabel shown under the horizontal axis.
Y Axis TitleLabel shown beside the vertical axis.
SmoothedEnables or disables curve smoothing for line charts.
OrientationBar chart only. Controls vertical or horizontal bars.

Pie Chart Fields

These fields are specific to pie charts.

FieldDescription
Slice LabelsReference to a cell containing slice names (array).
Slice ValuesReference to a cell containing numeric values (array).

Line Chart

Line charts show trends over time or ordered sequences. They are commonly used for revenue, forecasts, SLAs, and throughput metrics.

Example use case

Monthly Revenue Growth with Actual vs Forecast.

Line Chart Example

Data setup

X Axis Labels

["Jan","Feb","Mar","Apr","May","Jun"]

Series 1: Revenue ($K)

[120,135,150,165,180,205]

Series 2: Forecast ($K)

[118,132,148,170,190,215]

Chart configuration

  • Chart Type: Line Chart
  • Chart Title: Monthly Revenue Growth
  • X Axis Title: Months
  • Y Axis Title: $K
  • X Axis Labels: ["Jan","Feb","Mar","Apr","May","Jun"]
  • Series Values:
    • Revenue: [120,135,150,165,180,205]
    • Forecast: [118,132,148,170,190,215]

Notes

  • Multiple series are supported.
  • All series must align with the same X Axis Labels.
  • Best used for trends and targets.

Bar Chart

Bar charts compare values across categories such as vendors, locations, or departments.

Example use case

Vendor Spend by Quarter. Bar Chart Example

Data setup

X Axis Labels

["Q1","Q2","Q3","Q4"]

Series 1: Vendor A

[220,240,260,275]

Series 2: Vendor B

[180,195,210,230]

Series 3: Vendor C

[95,110,120,135]

Chart configuration

  • Chart Type: Bar Chart
  • Chart Title: Vendor Spend by Quarter
  • X Axis Title: Quarters
  • Y Axis Title: Spend
  • Orientation: Vertical Bars
  • X Axis Labels: ["Q1","Q2","Q3","Q4"]
  • Series Values:
    • Series Name : "Vendor A"

    • Series Values: [220,240,260,275]

    • Series Name : "Vendor B"

    • Series Values: [180,195,210,230]

    • Series Name : "Vendor C"

    • Series Values: [95,110,120,135]

Notes

  • Multiple series render side by side.
  • Best for comparisons, not time-based trends.

Pie Chart

Pie charts show proportional breakdowns of a whole.

Example use case

Operational Cost Breakdown.

Pie Chart Example

Data setup

Slice Labels

["Labor","Materials","Logistics","Overhead"]

Slice Values

[42,28,18,12]

Chart configuration

  • Chart Type: Pie Chart
  • Chart Title: Operational Cost Breakdown
  • Slice Labels: ["Labor","Materials","Logistics","Overhead"]
  • Slice Values: [42,28,18,12]

Notes

  • Pie charts support a single series only.
  • Keep the number of slices limited for readability.

General requirements

  • Source cells must contain arrays.
  • Label arrays and value arrays must have matching lengths.
  • Charts update automatically when referenced values change.
  • Charts are intended for lightweight, inline visualization tied to operational records.

  • Line charts for trends and targets.
  • Bar charts for comparisons across entities.
  • Pie charts for cost, issue, or resource breakdowns.

Charts are most effective when placed directly on the record they describe or using data from the attached children records.