Line Chart
A Line Chart (also called a line plot, line graph, or curve chart) displays information as a series of data points connected by straight lines. It is one of the most common chart types, widely used across industries for visualizing trends over time or sequential data.
Line charts help connect individual data points to create a clear picture of progression, variation, or patterns, making them ideal for time-series analysis and performance tracking.
Best Situations to Use
Use a line chart when:
You want to track trends in data over time.
The dataset involves continuous, sequential, or time-based data.
You need to compare multiple series (e.g., revenue vs. expenses).
Examples:
Indicating increasing revenue over quarters.
Tracking stock price variation over days or months.
Showing website traffic trends (visits, conversions) across weeks.
Variations
Line charts support different styles and combinations:
Line Curve Chart – Smooth curved connections.
Line Segment Chart – Straight connections between points.
Line Step Chart – Stepwise connection to highlight discrete changes.
Line Reverse Step Chart – Reverse step transitions for categorical shifts.
Line Horizontal/Vertical Chart – Orientation-based style adjustments.
Mixed Chart – Combine with column charts for dual insights (e.g., student scores as columns with proficiency trends as a line).
Properties
General
Component Name – Auto-generated unique identifier.
Position (Left, Top) – Placement coordinates on the canvas.
Height / Width – Chart dimensions.
Initial Visibility – Toggle chart visibility on load.
Max Button – Enable maximize view.
Color From Drill – Inherit colors dynamically from drill-down.
Points – Show or hide data point markers.
Line Form – Choose style (Curve, Segment, Step, Reverse Step, Horizontal, Vertical).
Threshold Settings
Show/hide threshold lines.
Define Threshold 1 and 2 values.
Enable Fill Threshold to highlight area between limits.
Customize fill colors, opacity, and labels.
Annotation Settings
Enable annotations to highlight specific points.
Manage annotation dataset: connection, label field, annotation field.
Configure line color, dash style, width, and opacity.
Add tooltip titles to annotations. ⚠️ Note: Annotation mapping is supported only with CSV and Excel data.
Tooltip
Show tooltips with series description and values.
Supported options: None, Default, Custom.
Customize background, opacity, border, font size, box width, and precision.
Enable highlighter for quick data point emphasis.
Background & Styling
Gradient rotation, opacity, and multiple color choices.
Border (color, radius, width).
Shadows with customizable color and transparency.
Title & Subtitle
Show/hide title and subtitle.
Configure font (color, size, weight, family, alignment, decoration).
Option to pull dynamic dataset descriptions.
Axes
X-Axis
Show/hide axis line.
Customize labels (color, size, style, weight, rotation, tilt).
Enable tick marks and dataset description.
Y-Axis
Show/hide axis line.
Customize labels (color, size, style, weight).
Add descriptions and dataset labels.
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 formatting (Indian/International).
Axis Setup
Auto Axis Setup – Auto-adjust based on dataset.
Base Zero – Start axis at zero.
Min/Max Values – Define custom axis ranges.
Add Marker Lines (horizontal, vertical, or zero) with configurable color/opacity.
Export Options
Enable context menu for export.
Supported formats: Excel, CSV, JPEG, PNG, PPT, PDF, Print.
Customize export heading, subheading, and file name.
Define default export type (Screenshot or Tabular).
Repeater
Repeater Mode – Generate repetitive charts by grouping data.
Group by Field – Create separate charts per category (e.g., Year).
No. of Columns – Define layout columns.
Row Height / Column Margin / Row Margin – Customize spacing in repeated charts.
Dataset Series Properties
Change series colors individually.
Enable Data Labels to display values directly.
Example Use Cases
Finance: Revenue vs. expenses over time.
Stock Market: Daily closing price trends.
Marketing: Website visits vs. conversions.
Operations: Machine uptime vs. downtime across days.
Sample Data Setup:
Category Field (X-Axis): Year (or time period).
Series Fields (Y-Axis): One or more numeric values (e.g., Revenue, Expense).
⚠️ Note:
Category fields should be sequential (numeric, date, or time).
Series fields must be numeric.