Choose from a wide variety of chart types to clearly and accurately display your data.

Scatter Chart

Plots individual data points on a two-dimensional grid to reveal relationships, clusters, and trends between two numeric variables. Ideal for correlation and distribution analysis.

Line Chart

Connects a series of data points with straight lines, making it easy to visualize trends, changes, and patterns over time or ordered categories. Commonly used for time series data.

Bar Chart

Displays data with rectangular bars, to compare values across categories. Multiple style options support grouped, stacked, 100% stacked and 3D bars with depth for flexible comparisons.

Area Chart

Fills the area below a line chart to emphasize the magnitude of values over time or categories. Useful for showing cumulative totals, proportions, and part-to-whole relationships. Multiple style options support overlay, stacked and 100% stacked

Pie Chart

Divides a circle into slices to illustrate numerical proportions of a whole. Each slice represents a category's contribution, making it easy to compare parts to the total.

Donut Chart

A variation of the pie chart with a central hole, allowing for multiple series or additional information in the center. Great for visualizing proportions and multi-level data.

Pyramid Chart

Visualizes hierarchical or population data in a pyramid shape, often used for age distributions, organizational structures, or process stages.

Fast Line Chart

Optimized for rendering large datasets, this line chart provides high performance and smooth interaction even with millions of points. Ideal for real-time and big data scenarios.

Polar Chart

Plots data using polar coordinates, with values represented by angles and radii. Useful for visualizing cyclic phenomena, such as seasonal trends or periodic signals.

Polar Bar Chart

Arranges bar charts in a circular (polar) layout, making it easy to compare values around a central point. Great for displaying periodic or directional data.

Rose Chart

Displays data in a circular format, with each segment's length representing magnitude. Commonly used for wind, directional, or frequency data in meteorology and engineering.

Wind Rose Chart

A specialized rose chart for visualizing wind speed and direction frequencies. Each segment shows how often wind blows from a particular direction at certain speeds.

Radar Chart

Shows multivariate data with axes radiating from a central point, forming a web-like shape. Useful for comparing multiple variables or performance metrics at a glance.

Smith Chart

Used in electrical engineering to plot complex impedance or admittance, the Smith chart is essential for RF and microwave circuit analysis and design.

Scatter 3D Chart

Plots data points in three dimensions, allowing you to explore relationships among three variables. Ideal for scientific, engineering, and statistical analysis.

Surface 3D Chart

Displays a three-dimensional surface connecting data points, making it easy to visualize topography, response surfaces, or mathematical functions.

Tri-Surface 3D Chart

Renders a 3D surface from triangular mesh data, supporting complex geometries and irregular datasets. Useful for scientific and engineering visualization.

Iso-Surface 3D Chart

Shows surfaces of constant value within a 3D volume, often used in scientific visualization to represent boundaries, concentrations, or isovalues.

Contour Chart

Uses lines to connect points of equal value, often for mapping elevation, density, or temperature. Essential for topographic and heatmap visualizations.

Heat Map Chart

Represents data values as colors in a grid, highlighting patterns, intensity, and correlations. Great for visualizing matrices, correlations, and spatial data.

Tower 3D Chart

Displays 3D columns to represent values in a grid or matrix, making it easy to compare magnitudes and distributions in three dimensions.

Waterfall 3D Chart

Shows cumulative effects of sequential values in three dimensions, often used for financial, engineering, or scientific data analysis.

Box & Whiskers Chart

Summarizes data distribution with quartiles, median, and outliers. Useful for identifying spread, skewness, and potential anomalies in datasets.

Histogram Chart

Displays the frequency distribution of a dataset using adjacent bars. Ideal for visualizing the shape, spread, and central tendency of data.

QC Chart (SPC)

A suite of quality control charts for monitoring process variation and control, including NP, P, C, U, XBarR, R, XBarS, S, I-MR and MR. Essential for manufacturing and quality assurance.

Pareto Chart

Combines bars and a line to highlight the most significant factors in a dataset, following the 80/20 rule. Helps prioritize issues or opportunities.

Error 2D Chart

Shows variability or uncertainty in data with error bars in two dimensions. Useful for scientific, engineering, and experimental data analysis.

Error 3D Chart

Extends error bars to three-dimensional data points, providing a comprehensive view of uncertainty in complex datasets.

Error Bar Chart

Adds error bars to other chart types to indicate variability, measurement error, or confidence intervals. Enhances the reliability of data interpretation.

Candle Chart

Used in financial analysis to show open, high, low, and close values for trading periods. Essential for technical analysis and trend identification in stock markets.

High-Low Chart

Plots the highest and lowest values for each period, often used in stock charts to visualize price ranges and volatility.

Volume Chart

Displays trading volume as bars, often combined with price charts to provide context for market activity and liquidity.

Renko Chart

Focuses on price movement by filtering out minor price changes, making trends and reversals more apparent. Useful for trend analysis and trading signals.

Kagi Chart

Emphasizes price reversals and trends, ignoring time and volume. Helps traders identify support, resistance, and trend direction.

Point & Figure Chart

Shows price movements without regard to time, highlighting trends and reversals. Useful for long-term market analysis and breakout detection.

Equi-Volume Chart

Combines price and volume into a single chart, with bar width representing volume. Offers a more complete view of market dynamics.

Funnel Chart

Visualizes stages in a process, such as sales or conversions, with decreasing values at each stage. Useful for identifying bottlenecks and drop-off points.

Slopes Chart

Visualizes the rate of change between data points, making it easy to compare growth, decline, or transitions across categories or time.

Vector 2D Chart

Displays vectors (arrows) in two dimensions, representing both direction and magnitude. Useful for physics, engineering, and flow analysis.

Vector 3D Chart

Extends vector visualization to three dimensions, allowing for more complex representation of direction and magnitude in scientific and engineering data.

Ternary Chart

Plots compositions of three variables that sum to a constant, often used in chemistry, geology, and material science to show mixture ratios.

Bubble Chart

Shows three dimensions of data using x, y, and bubble size. Useful for visualizing relationships and distributions with an additional variable.

Bubble Cloud Chart

Visualizes data as a collection of bubbles, with size or color representing value. Great for highlighting key items in a dataset or word clouds.

Volume-Pipe Chart

Represents data as pipes or tubes, often for flow, volume, or network visualization in engineering and scientific applications.

Image-Bar Chart

Uses images instead of bars to represent values, adding visual interest and context to data comparisons.