Plot more than 32 chart types. Each chart type is easily configurable with built-in support for creating stunning visual effects:
Areatype charts and graphs for representing time-dependent data, showing trends in data at equal intervals.
Bartype charts and graphs for comparing the frequency, count, total, or average of data in different categories. They are ideal for showing variations in the value of an item over time.
Pyramidtype charts and graphs to represent data in proportions.
Scattercharts and graphs to plot financial or scientific data.
Hilotype charts and graphs for stock analysis.
Rangetype charts and graphs to represent high and low values at a point.
Polartype charts and graphs to plot data points in terms of angles and values.
Waterfallcharts and graphs to represent the cumulative effects of sequential positive or negative values.
Several data-rendering optimizations are included for best possible performance when plotting large volumes of data as well as handling a high frequency of real-time data.
Plot any type of data in a graph with the help of different axes types: numeric, category, date-time, date-time category, and logarithmic.
A numeric axis is used to represent numeric data in charts.
A date-time axis is used to represent dates in charts and displays dates as axis labels with different formats.
A category axis is used to represent non-numerical data in charts and displays text labels instead of numbers.
A date-time category axis is used to display date values with nonlinear intervals to display business days by skipping holidays.
A logarithmic scale is used to visualize data with both lower orders of magnitude (e.g., 10-6) and higher orders of magnitude (e.g., 106) in graphs.
Enhance the space for rendering data points by moving the axis labels inside the plot area.
Uses rotation to prevent labels from overlapping when the space for an axis is small.
Reverse the axis labels and ticks. This swaps the higher and lower ranges of an axis.
Adds padding to the start and end ranges of an axis to avoid data cropping at the edges.
When the chart has multiple axes, this feature arranges the axes smartly by moving them to the opposite position from their default positions.
Avoids overlapping of axis labels by trimming, wrapping, rotating, hiding, or placing them on multiple rows.
Use multiple panes to show different types of series for clear visualization of data. An indicator for the financial series can be visualized better by adding separate panes.
Organizes or groups data points in charts based on different categories. Both main category labels and subcategory labels can be rotated and trimmed to avoid overlapping.
Move the origin of an axis to any point within the chart area for better visualization of data. This allows the axis to cross an associate axis.
Plot different types of data against different axes in the same graph with the help of the multiple axes feature. Data about temperature can be plotted in Celsius and Fahrenheit with two different axes.
Draw special attention to any region of the chart or graph with the help of strip lines. You can also annotate the highlighted region with notes. For example, different climate information for a year can be highlighted by using strip lines.
Use technical indicators to analyze the past and predict future market trends based on historic price, volume, or open interest.
Handle any error or uncertainty in the measurements by adding error bars to the data points.
Mark any specific area of interest by adding custom elements (shapes, images) to make charts more information-intensive.
Select a data point in a series for easy understanding of the selected data. Adding pattern and color to the selected data makes charts more interactive.
Allows advanced data visualization by selecting a subset of data that can then be processed further in the grid or charts.
The end user experience is greatly enhanced by including a set of user interaction features such as zooming and panning, crosshair, trackball, drill-down, events, and tooltip.
Visualize data points in any region of the chart by zooming the region using rectangular selection, pinch, or mouse wheel.
Add an interactive pop-up for data points with information on mouse hover.
Track data points that are close to the mouse position or touch contact. Trackball displays information about pop-up data with more customizable options.
Inspect or target any data point on mouse move with the help of crosshair. A thin horizontal line and a vertical line indicate the data point with the information displayed in an interactive tooltip.
Display additional information about the chart series with the help of a legend. The legend can also be used to select or collapse series.
Dock the legend anywhere in the chart area to make the chart fit best on the page.
Customize legend icons with available built-in shapes such as rectangles, circles, diamonds, pentagons, triangles, crosses, and straight lines to improve the readability of charts and graphs.
Customize the look and feel of the legend with background and text-style options.
Enable paging when the legend items exceed the bounds. Each legend item can be viewed by navigating between the pages.
Annotate data points with labels to improve the readability of data. The readability can further be enhanced by adding markers or customizable symbols.
Connect labels at a distance from the chart to their data points with the help of a Bezier curve or straight lines.
Add a template to display data labels with any HTML element such as images, DIV, and spans to make data more informative.
Customize the look and feel of data labels with font style, size, and color options. Also, position the label at the top, bottom, or center of the data point.
Marks data points with built-in shapes such as circles, rectangles, ellipses, vertical lines, horizontal lines, diamonds, triangles, and pentagons. In addition to these shapes, use images to make the point more attractive.
Arranges data labels smartly to avoid overlapping when the data point values fall in close range.
Allows the points in pie series to be grouped. The grouped slices can be split into individual points by clicking the slice.
Missed data in the data set for the series is elegantly handled with empty points. This will be useful when plotting stock data where the skipped holidays can be handled with this behavior.
Invert the vertical bar or a horizontal line by rotating the series.
Updates the chart dynamically with the live data that changes over seconds or minutes like stock prices, temperature, etc.
The chart series can be animated when rendering and refreshing the chart and graph widgets.