Chart
for v24.3.0
Chart for is easy to use and can be added to your project with only a few lines of code. All charts are fully customizable allowing you to create virtually any charting style.
Chart is included in Toolkit Pro for
Key Features
Codejock Chart for provides several charting styles to choose from including Bar, Point, Line, Pie, Radar / Polar, Area, Financial, Gantt, Funnel / Pyramid, Graphing and Analysis with many features available.
Chart is included with the Toolkit Pro for evaluation.
Pie Chart
Present proportional data with clear 2D, 3D, doughnut, and torus chart styles designed to make category comparisons easy to understand at a glance.
Pie Chart
Display data as proportional slices of a pie, where each slice represents a percentage of the whole. Pie charts make it easy to compare category values, show relative size, and understand how individual data points contribute to a total.
3D Pie Chart
Present proportional data in a 3D pie layout with slices sized by value. Charts can be rotated and zoomed manually or programmatically, with lighting, transparency, and material settings for realistic presentation.
Doughnut Chart
Display proportional data like a pie chart, but with a blank center that creates a cleaner doughnut-style appearance. This format works well for comparing parts of a whole while giving the chart a more modern visual style.
3D Doughnut Chart
Show proportional data in a 3D doughnut layout with a blank center and value-based slices. Charts can be rotated, zoomed, and customized with lighting, transparency, and material settings for a polished 3D appearance.
3D Torus Chart
Display proportional data in a 3D torus style with configurable body thickness. The chart supports manual or programmatic rotation and zoom, plus lighting, transparency, and material options for realistic 3D results.
Bar Chart
Compare values across categories with flexible bar chart options, including range bars, stacked bars, 100% stacked bars, and rotated layouts.
Standard Bar Chart
Compare discrete or continuous values using rectangular bars sized in proportion to the data they represent. Bar charts work well for categories such as colors or sizes, as well as measured values like age or population.
Range Bar Chart
Display values or events with a defined beginning and end using range bars. Bars can be shown overlapped or side by side, making it easy to compare multiple ranges, durations, or intervals within the same chart view.
Stacked Bar Chart
Compare parts of a whole by stacking related values within each bar. Stacked bars can be vertical or horizontal, making it easy to show totals while also comparing how each series contributes to the overall value.
100% Stacked Bars Chart
Display stacked bar values as proportional parts of a defined total, commonly 100%. This makes it easy to compare percentage contribution across categories while preserving the relationship between each series.
Rotated Bars Chart
Rotate bar charts around the axis to better fit your layout or presentation style. Rotated bars are useful when category labels, available space, or visual comparison needs are better served by a different orientation.
Line Chart
Visualize trends, changes, and continuous data with line chart styles that include scatter lines, fast lines, step lines, and smooth spline presentations.
Line Chart
Show a series of data points connected by straight line segments. Line charts are ideal for illustrating trends, movement, and changes in values over time or across an ordered sequence of data points.
Scatter Line Chart
Plot data values in the exact order they are entered and connect the points with a line. Scatter line charts are useful for scientific data, ordered observations, or trend views where input sequence matters.
Fast Line Chart
Improve rendering performance for large data sets with a fast line style designed to draw quickly. This option is ideal for real-time monitors or charts with thousands of points where speed is more important than labels.
Step Line Chart
Display data using vertical and horizontal line segments instead of direct diagonal connections. Step line charts are useful for values that change at specific intervals and should appear as distinct steps.
Spline Chart
Show data points connected by smooth, flowing spline segments. Spline charts are ideal for visualizing trends over time while creating a softer, more polished presentation than a standard straight-line chart.
Funnel / Pyramid
Show staged processes, ranking, conversion paths, and proportional relationships with 2D and 3D funnel and pyramid chart styles.
Funnel Chart
Display data in a funnel shape where each section is sized relative to the others. Funnel charts are useful for showing stages, proportions, conversions, or ranked values, with flexible ordering based on your data.
3D Funnel Chart
Present funnel data in a 3D layout with sections sized relative to each other. The funnel supports configurable base edges, rounded shapes, rotation, zooming, lighting, transparency, and material settings.
Pyramid Chart
Display data in a pyramid shape with sections sized relative to each other. Pyramid charts are useful for showing ranked values, layered relationships, or proportional data, with flexible ordering from top to bottom.
3D Pyramid Chart
Present proportional data in a 3D pyramid layout with configurable base edges and optional rounded styling. The chart supports rotation, zooming, lighting, transparency, and material settings for realistic output.
Radar / Polar
Compare multivariable data in circular layouts using radar, polar, and spline-based chart types ideal for patterns, profiles, and category relationships.
Radar Point Chart
Plot values around a circular radar layout using poles that radiate from the center. Radar point charts are useful for comparing multiple variables, categories, or performance measures in a compact visual form.
Radar Line Chart
Connect radar data points with lines around a circular layout, making it easy to compare multiple variables from a shared center point. This view works well for profiles, ratings, and category-based comparisons.
Radar Area Chart
Fill the area enclosed by radar data points to emphasize the shape and magnitude of multiple variables. Radar area charts help compare profiles, patterns, and category relationships in a compact circular view.
Polar Spline Chart
Plot data using polar coordinates where angle and distance define each point. Polar spline charts support circular axis ranges and smooth curves, making them useful for directional, rotational, or cyclical data.
Flow Graph
Create connected visual diagrams with support for nodes, connection types, page transitions, and embedded controls for interactive flow-based presentations.
Flow Graph Control
Display relationship graphs using nodes, connections, and connection points. Flow Graph is useful for visualizing linked structures such as database relationships, process flows, or connected information models.
Flow Graph Node Types
Build flow diagrams with a flexible mix of node types, including table nodes, picture nodes, geometry nodes, and custom XAML nodes. This allows each diagram to present information in the most suitable visual form.
Flow Graph Connection Types
Connect shapes with multiple connection types to show logical relationships and direction between nodes. Flow Graph connections make it easier to represent structure, hierarchy, and data flow.
Flow Graph Page Transition
Move between Flow Graph pages using smooth transitions that combine scaling and fading effects. Page transitions help create a polished navigation experience when presenting multi-page diagrams.
Flow Graph Embedded controls
Embed controls or windows directly inside Flow Graph nodes to create richer interactive diagrams. This allows nodes to contain more than static content and support custom UI elements where needed.
Point Chart
Plot individual values and data relationships with point and bubble charts that make scattered data, clusters, and value distribution easy to visualize.
Standard Point Chart
Plot individual data points on a Cartesian grid using x and y coordinates. Point charts, also known as scatter plots, are useful for showing distribution, relationships, clusters, and patterns in data.
Bubble Chart
Display point chart data as bubbles on a Cartesian grid, with each bubble representing a plotted value. Bubble charts are useful when x and y values need to be compared with an added visual size dimension.
Area Chart
Highlight volume, trends, and cumulative values with area chart styles including spline, stacked, 100% stacked, range, and step area options.
Standard Area Chart
Display data as filled areas beneath line segments, with each series shown in a different color. Area charts are commonly used to show accumulated values, volume, and trends over a period of time.
Spline Area Chart
Show accumulated values with smooth spline curves and filled areas beneath each series. Spline area charts combine the trend-focused feel of spline charts with the volume emphasis of area charts.
Stacked Area Chart
Display multiple filled data series stacked on top of each other to show cumulative totals over time. Stacked area charts help compare both the overall value and each series contribution.
100% Stacked Area Chart
Show stacked area values as proportional parts of a 100% total for each category or point. This makes it easy to compare relative contribution across series while emphasizing percentage-based relationships.
Stacked Spline Area Chart
Display stacked area data with smooth spline curves for a more polished trend presentation. This chart is useful for showing cumulative values while keeping each series contribution visually distinct.
Range Area Chart
Display a filled area between minimum and maximum values for each point. Range area charts are useful for showing value bands, start and end ranges, or examples such as daily temperature lows and highs.
Step Area Chart
Show area data using vertical and horizontal segments that form step-like changes between points. Step area charts are useful when values change at intervals rather than continuously between points.
Financial
Display financial market data with high-low and candlestick chart types designed for pricing, trading, and time-based financial analysis.
High Low Financial Chart
Display financial trends using high and low values, commonly for stock market pricing. High-low charts provide a compact market view, though they are typically less detailed than candlestick charts.
CandleStick Chart
Display financial data with candlesticks that show high, low, open, and close values for each point. This format helps traders quickly compare price movement and identify market trends.
Analysis
Add analytical context to your charts with trend lines and error bars that help users interpret patterns, variance, and data confidence more effectively.
Trend Lines
Add trend lines to show the general direction of a data set over time. Trend lines help users identify patterns, movement, and the overall direction values appear to be heading within the chart.
Error Bars
Use error bars to show uncertainty, variability, or possible error in reported values. These bars help users understand how accurate or imprecise data may be and compare confidence across points.
Gantt Chart
Visualize project schedules, task timelines, milestones, and progress using Gantt chart support designed for planning and timeline-based reporting.
Gantt Chart
Display project tasks and schedules using a range bar layout over time. Gantt charts are commonly used to show task duration, project progression, timelines, dependencies, and planning details.
Features
Enhance chart presentations with secondary axes, zooming, scrolling, multiple diagrams, combined series, line styles, markup titles, scales, and 3D customization.
Secondary Axis Chart
Plot data series with very different values or data types on secondary axes so they remain visible in one chart. Secondary X and Y axes are also useful for scatter charts and mixed data comparisons.
Zooming and Scrolling
Allow users to zoom and scroll through charts to inspect large data sets more easily. This is especially useful for charts with thousands of points where users need to focus on specific ranges.
Multiple Diagram Support
Display multiple chart diagrams in separate regions within the same view. This makes it easier to compare related data sets side by side without layering every series into a single chart area.
Combination Chart
Combine two or more chart types in a single presentation to show different kinds of data together. Combination charts make it easier to emphasize relationships between distinct series or measurements.
Line Styles
Customize chart lines with supplied line styles, including dashed patterns and adjustable thickness. Line styling helps distinguish series, improve readability, and create clearer visual presentations.
Markup Title Support
Add multiple chart titles docked to the top, bottom, left, or right, with support for stacked titles in the same location. Titles can also use XML markup snippets for richer text formatting.
Date Time Scale
Display date values along an axis using their text representation for clearer time-based charting. Date time scales make it easier to present chronological data in a familiar, readable format.
Logarithmic Scale Chart
Use a logarithmic scale to display data that spans a very large range of values. Logarithmic charts make wide-ranging data easier to read and compare when standard linear scaling is not practical.
Virtual Points
Improve chart performance with virtual points when a series contains a very large number of data points. This feature is designed for scenarios where speed and responsiveness are especially important.
3D Chart Customization
Customize 3D charts with manual or programmatic rotation and zooming, plus lighting, transparency, and material settings. These options help create polished, realistic 3D chart presentations.
Printing
Share chart results with built-in printing, image saving, and XML import/export support for reporting, documentation, and data exchange workflows.
Chart Printing
Print any chart, including Flow Graph charts, using your preferred printing method. Built-in printing support makes it easier to include chart output in reports, documentation, and workflows.
Saving Chart as Image
Save any chart, including Flow Graph charts, as an image file for reuse outside the application. Image export is useful for reports, presentations, documentation, and sharing chart results.
Chart XML Import and Export
Serialize and deserialize charts, including Flow Graph charts, using XML. This makes it possible to capture chart state, reload saved layouts, and share chart configurations between sessions.
Utilities
Speed chart creation and configuration with the Chart Builder Tool, making it easier to design, customize, and refine chart presentations.
Chart Builder Tool
Build and customize charts with the supplied Chart Builder WYSIWYG editor. Configure colors and chart settings visually, then export the result to XML for loading into the chart control.
Supported Platforms and Environments
Broad compatibility across Visual Studio, Windows desktop, and Windows Server releases — from modern environments to legacy deployments.
Development Platform
Development environments
- Visual Studio 2022
- Visual Studio 2019
- Visual Studio 2017
- Visual Studio 2015
- Visual Studio 2013
- Microsoft Access
- Visual Studio 2012
- Visual Studio 2010
- Visual Studio 2008
- Visual Studio 2005
- Visual Studio .NET 2003
- Visual Studio .NET 2002
- Visual Basic 6.0
Windows Desktop
Client operating systems
- Windows 11
- Windows 10
- Windows 8.1
- Windows 8
- Windows 7
- Windows Vista
- Windows XP
- Windows Me
- Windows 2000
- Windows 98 SE
- Windows 98
- Windows 95
Windows Server
Server environments
- Windows Server 2022
- Windows Server 2019
- Windows Server 2016
- Windows Server 2012 R2
- Windows Server 2012
- Windows Server 2008 R2
- Windows Server 2008
- Windows Server 2003 R2
- Windows Server 2003
- Windows 2000
- Windows NT 4.0
Minimum Requirement
Baseline development and runtime support
- Compiler: Visual Basic 6.0
- Runtime: Windows 95 / NT 4.0