Mixed Chart
A Mixed Chart combines the strengths of Line Charts and Column Charts into a single visualization. It can plot up to three data series simultaneously, making it useful for comparing trends and categories in a single chart.
By overlaying line and column series, Mixed Charts help highlight relationships between discrete values (columns) and continuous trends (lines), providing a more complete perspective.
Best Situations to Use
Use a mixed chart when:
You need to compare multiple categories and their relationships.
A combination of quantitative values (column) and trends (line) is required.
You want to emphasize a key trend series while still showing categorical data.
Examples:
Analyzing a company’s budget vs. revenue vs. profit margin.
Displaying student scores (columns) alongside class proficiency trends (line).
Showing sales targets vs. actual sales with performance trendlines.
Variations
Mixed charts can be configured in several styles:
Stacked Columns + Line – Combine cumulative values with line trends.
Clustered Columns + Line – Show grouped categories with line overlay.
Overlaid Columns + Line – Overlay multiple series in a shared space with a trend line.
100% Columns + Line – Normalize values to percentages with an added trend line.
Quick Enhancements:
Use stacked columns to answer multiple questions at once.
Display columns side by side for easier comparisons.
Add colors to highlight important series.
Properties
General
Component Name – Auto-generated unique identifier.
Position (Left, Top) – Placement coordinates on the canvas.
Height / Width – Chart dimensions.
Initial Visibility – Show/hide chart on load.
Max Button – Enable maximize view.
Color From Drill – Apply colors dynamically from drill-down results.
Points – Show or hide markers on the line chart.
Base Type – Define base (Plain, Rectangle, Cylinder, Gradient).
Chart Type – Choose layout (Stacked, Clustered, Overlaid, 100%).
Line Form – Select line style (Curve, Segment).
Bar Size – Adjust column width and spacing.
Threshold Settings
Show/hide threshold lines.
Configure upper (Threshold 1) and lower (Threshold 2) values.
Enable Fill Threshold to highlight area between values.
Customize fill color, opacity, and labels.
Annotation Settings
Enable annotation lines to mark significant points/events.
Manage annotation dataset: Connection, Label Field, Annotation Field.
Configure line color, width, opacity, and dash style.
Add tooltip titles for annotations. ⚠️ Note: Annotation mapping works with CSV and Excel data only.
Tooltip
Supported options: None, Default, Custom.
Customize tooltip background, opacity, border, font size, box width, and precision.
Enable highlighter mode to emphasize data points.
Background & Styling
Gradient rotation, opacity, and multiple color options.
Borders (color, radius, width).
Shadows with configurable color and transparency.
Title & Subtitle
Show/hide title and subtitle.
Customize text (color, font size, style, weight, alignment, decoration).
Option to pull dataset descriptions dynamically.
Axes
X-Axis
Show/hide axis line.
Customize label font (color, size, style, weight, rotation).
Tilt labels for readability.
Add tick marks and dataset descriptions.
Y-Axis
Show/hide axis line.
Customize labels (color, size, style, weight).
Add axis descriptions and dataset labels.
Second Axis
Enable a secondary Y-axis for additional series.
Customize units, precision, currency format, and number style.
Configure min/max values and auto scaling.
Add Zero Marker Line and customize its color.
Legend
Show/hide chart legend.
Customize font (color, size, style, weight).
Option to hide legend on load.
Formatter
Units (%, $, count).
Precision (decimal places).
Currency formatting.
Number format (Indian/International).
Axis Setup
Auto Axis Setup – Automatically scale axis.
Base Zero – Ensure axes start at zero.
Min/Max Values – Manually set ranges.
Add marker lines (horizontal, vertical, or zero).
Customize marker color and opacity.
Export Options
Enable context menu for quick export.
Supported formats: Excel, CSV, JPEG, PNG, PPT, PDF, Print.
Configure export heading, subheading, and file name.
Define global export type (Screenshot or Tabular).
Dataset Series Properties
Configure fields: Name, Display Name, Axis.
Customize color, chart type (Line or Column), and point shape.
For Line series: set line width and style.
Variants by Property Customization
Stacked Chart + Line:
Plain, Rectangle, Cylinder, Gradient 1–3 bases.
Line can be Segment or Curve.
Clustered Chart + Line:
Plain, Rectangle, Cylinder, Gradient 1–3 bases.
Segment Line overlay.
Overlaid Chart + Line:
Plain, Rectangle, Cylinder, Gradient 1–3 bases.
Segment Line overlay.
100% Chart + Line:
Plain, Rectangle, Cylinder, Gradient 1–3 bases.
Segment Line overlay.
Example Use Cases
Finance: Compare company budget, revenue, and profit margin.
Sales: Track targets vs. actuals vs. performance trends.
Education: Show student scores by subject alongside overall proficiency trend.
Marketing: Analyze ad spend (columns) vs. engagement (line).
Sample Data Setup:
Category Field: Year (or time-based/categorical field).
Series Fields: Multiple numeric series (e.g., Budget, Revenue, Expenses).
⚠️ Note:
Category fields can be string, numeric, or date.
Series fields must be numeric.
Last updated