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Chart By Numeric X

Visualize numeric relationships with scatter plots, trend lines, and optional R-squared regression analysis for dashboard-based monitoring

Specs

Label
Value

Version

1.1.0 (updated on 2026-04-28)

Developer

Labii Inc.

Type

Dashboard

Support Configuration

Yes

Overview

The Chart By Numeric X dashboard widget visualizes relationships between numeric variables by plotting numeric values on both the X and Y axes. It is designed for dashboards that need more analytical depth than category-based summaries, allowing laboratory teams to explore trends, correlations, time-based measurements, calibration behavior, or performance relationships directly from workspace dashboards. With optional regression support through Scatter with fit, the widget can display a best-fit line, equation, and R-squared value to support data-driven interpretation and monitoring.

Use Cases

  • Calibration dashboards: Plot standard concentration versus instrument response to monitor calibration behavior.

  • Time-series monitoring: Show numeric measurements over elapsed time, cycle number, or sample sequence.

  • Correlation analysis: Compare variables such as temperature versus reaction rate, OD versus protein yield, or concentration versus response.

  • Quality control review: Track drift, variance, or expected-versus-observed measurements across runs.

  • Process performance dashboards: Compare throughput, duration, cost, or utilization metrics against another numeric driver.

  • Research analytics: Explore trends in assay results, kinetic data, growth curves, or dose-response relationships.

Configuration

This widget requires numeric data on both axes and supports one or more numeric series against a numeric X axis.

Initial Setup

1

Open the dashboard where you want to place the widget.

2

Click Add Widget and select Chart By Numeric X from the Data Driven Charts category.

3

Open the widget settings and choose the source Table.

4

Select a numeric X axis, one or more numeric Series, and the remaining display options, then click Save.

Required Settings

  • Table: Select the table that contains the numeric data to visualize.

  • X axis: Choose a numeric column for the X axis. Use a Number or Formula column that returns numeric values.

  • Series: Choose one or more numeric columns for the Y-axis data series. These columns must also use Number or Formula widgets.

This widget is intended for numeric-to-numeric visualization. Text, date, and category-style columns are not appropriate for the X axis or numeric series.

Optional Settings

Data Filtering

  • Filter: Specify a filter to limit the result set. Leave it empty to use the full dataset.

Numeric Summarization

  • Data aggregation: Choose how matching values are summarized.

    • None: Do not apply an aggregation.

    • Average: Use the mean value.

    • Max: Use the largest value.

    • Median: Use the middle value.

    • Min: Use the smallest value.

Display Settings

  • Chart title: Provide the title shown above the visualization.

  • Height: Set chart height in pixels. The default is 250 px.

Use filters to isolate a single experiment type, cohort, date window, or operating condition when you want the chart to reveal a clearer numeric relationship.

Display Configuration

1

Click the widget's Configure button after adding it to the dashboard.

2

Choose the Table and optional Filter to define which records are included.

3

Set the numeric X axis, then select one or more numeric Series and an optional Data aggregation method.

4

Provide a Chart title, adjust Height, and click Save to generate the chart.

Data Source Configuration

Use the widget settings to align the chart with the intended analysis:

1

Select the source Table that contains the numeric measurements.

2

Apply a Filter when you need to limit the chart to a subset such as one project, instrument, analyst, batch, or date window.

3

Choose a numeric X axis that represents the independent variable, sequence, or scale for comparison.

4

Add one or more numeric Series that represent dependent variables or outcomes.

Advanced Configuration

1

Use multiple widget instances with different Filter values to compare conditions side by side on the same dashboard.

2

Configure multiple Series when you want to compare several numeric outcomes against the same X axis.

3

Switch to Scatter with fit when you want regression analysis rather than simple plotting.

4

Increase Height for dense data sets so point clusters and fit lines remain legible.

Readonly View

Dashboard widgets display data in read-only mode, and Chart By Numeric X is optimized for analytical review of numeric relationships from a dashboard context.

Chart By Numeric X widget displaying numeric data on both axes with scatter and fit options
The widget displays numeric relationships with scatter-style visualization and optional regression analysis for dashboard review.

Display Features

  • Numeric X-Y plotting: The chart plots numeric values on both axes to show how one variable changes relative to another.

  • Multiple chart styles: Users can switch among supported chart types to emphasize point distribution, trends, or regression.

  • Multi-series display: More than one Y-axis series can be plotted against the same X axis when comparative analysis is needed.

  • Dashboard visibility: The widget keeps analytical charts visible on shared or personal dashboards without opening detailed reports.

Visual Elements

  • X axis: Displays numeric values for the selected independent variable or numeric scale.

  • Y-axis series: Displays one or more numeric outcomes plotted against the X axis.

  • Chart title: A descriptive title appears above the visualization when configured.

  • Fit line and equation: When Scatter with fit is selected, the chart displays the best-fit line and regression formula.

Data Indicators

  • Point distribution: Scatter layouts help users see clusters, outliers, and spread.

  • Trend direction: Line or area views can make upward, downward, or stable movement easier to interpret.

  • Regression strength: R-squared indicates how well a linear relationship explains the data when fit mode is used.

  • Aggregated values: When aggregation is applied, the chart reflects summarized rather than raw point values.

Interactive Features

  • Chart type selection: Switch visualization style based on the analytical question.

  • Hover details: Inspect precise plotted values directly on the chart.

  • Download: Export the underlying chart data for further analysis.

R-squared (R²) is the coefficient of determination. It represents the proportion of variation in the dependent variable that can be predicted from the independent variable. Values closer to 1 indicate stronger linear relationships.

Additional Functions

Chart Type Selection

The widget supports multiple visualization modes for numeric analysis:

  • Scatter: Shows individual numeric points without connecting lines.

  • Line: Connects points to emphasize sequence or progression.

  • Area: Fills beneath the plotted line to emphasize magnitude.

  • Scatter with fit: Adds a best-fit regression line with equation and R-squared value.

1

Open the dashboard and locate the Chart By Numeric X widget.

2

Use the chart type selector in the widget interface to switch visualization style.

3

Select Scatter with fit when you want linear regression analysis.

R-squared Prediction and Regression Analysis

The Scatter with fit option provides visual and statistical support for interpreting numeric relationships.

  • Best-fit line: Shows the linear regression through the plotted points.

  • Regression equation: Displays the line formula for reference and prediction.

  • R-squared value: Indicates how strongly the line explains the observed variation.

1

Configure the widget with a numeric X axis and one or more numeric Series.

2

Generate the chart and select Scatter with fit.

3

Review the displayed fit line, equation, and R-squared value on the chart.

4

Use the regression output to assess correlation strength or approximate predictions.

Data Export

1

Open the dashboard and find the Chart By Numeric X widget.

2

Click Download to export the chart data currently being displayed.

3

Save the exported file for spreadsheets, statistical analysis, or presentation use.

Multi-Series Comparison

When multiple numeric series are configured, the widget helps compare several outcomes against a shared numeric X axis within one dashboard tile.

Best Practices

Dashboard Design

  • Use this widget on analytical dashboards where users need to interpret relationships, not just category counts.

  • Give the chart a precise title that states both variables being compared.

  • Allocate enough vertical space when plotting dense point clouds or multiple series.

Statistical Interpretation

  • Use Scatter for exploratory review and Scatter with fit for quantified linear analysis.

  • Interpret high R-squared values as stronger linear fit, not automatic proof of causation.

  • Check whether the relationship appears linear before relying on the fit line.

Data Preparation

  • Use filters to isolate comparable records and avoid mixing incompatible conditions.

  • Prefer clean numeric columns with consistent units and data quality.

  • Separate unrelated metrics into different widgets when scales or meanings differ substantially.

Performance and Readability

  • Avoid overloading one widget with too many series.

  • Increase chart height for larger datasets to reduce visual crowding.

  • Revisit filters and chart usage as workflows or table structures evolve.

  • Chart By Category X: Use when the X axis should represent categories instead of numeric values.

  • Composed Chart By Category X: Use when you need mixed chart types and category-based multi-series comparison.

  • Chart By Numeric X: Use the section widget version when numeric analysis should stay scoped to a specific record context.

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