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2022.01.17 02:02




















Surface temperature on Earth. The 3D surface was drawn using parametric equations for a sphere. The surface of the sphere was then color mapped with temperature data. Colormap surface with side walls, showing the topology of eastern California.


The surface is overlaid by a 3D scatter plot with label to highlight two specific locations. Lines connecting data points and labels can be rotated along with the frame, and were added with LabTalk script. Lighting effect was also turned on. Multiple surfaces stacked in a single layer. The graph was created by plotting the same matrix data in four different styles, and offsetting them in Z direction. The four surfaces from top to bottom are wire frame, flattened contour line plot, color filled surface with lighting effect, and flattened color filled contour plot.


A surface plot created from XYZ data where the color map was based on a 4th data column. A custom XY boundary has also been applied to the plot. A combination of 3D bar and 3D scatter plot depicting home price index and unemployment rate. Customization options include color mapping both plots based on Z values, adding labels to 3D scatter points, hiding YZ and ZX planes and moving XY plane to the center.


Using grouped data, you can easily create multi-panelled graphs in Origin with a single click on the plot menu. Multi-layer Cluster Plot with option for independent X and Y scales.


Easily change formatting of plots and other attributes in all layers by editing properties in one layer. Grouped plots now support scatter plot with subgroup spacing.


Scatter can then be combined with other plot types such as the column plot in this example. Grouped box chart with gap between subgroups. The graph was created from indexed data with two group levels. Options for customization include flexible spacing between and within subgroups, setting axis tick label as a table above or below the graph layer to display relevant grouping information, connecting mean points, data points or other percentiles and multiple box styles including column scatter, statistics bars and interval plots.


This is an example of a trellis column plot with error bars. In the trellis plot, the horizontal panels are defined by two grouping variables, treatment Memantine v. Saline and genotype Control v. The example shows a trellis plot with the Overlap Panels option enabled. Two variables, Location and Treatment, are used to define the horizontal panels.


This results in a four-panel horizontal array. By enabling the Overlap Panels option, we combine four panels into one while preserving the grouping information. Note that plot symbol color is indexed to the four Location x Treatment combinations and symbol shape is indexed to Year, as shown in the plot legends. Parallel, Alluvial, Sankey ,Chord, Network and Ribbon Diagrams are extremely useful to visualize flow of data, and access the relationships between the different variables.


It visualizes the relationship of functions of x. Each axis of the parallel plot has it's own scale range. We can also see whether area, political orientation, and income of the residence in the state affects their view. The color of nodes of financial status are indexed to the state economic outlook column so that we can clearly see the relationship of these two views.


Half Violin plot displaying density distribution and data points. Visit this blog page to view more Violin plots. Circular Dendrogram from Hierarchical Cluster Analysis of lung tissues. The Double-Y Half Box plot displaying box and data points, The data points are aligned in bins to show the distribution. The graph has two independent Y axes, each with its own scale settings. Histogram and probabilities chart: The histogram in Layer 1 provides the center, spread, and skewness of the data, while the probability plot in Layer 2 indicates whether the data follows a normal distribution.


The 2D Kernel Density plot is a smoothed color density representation of scatter plot, based on kernel density estimation. Customization options include the calculation method and flexible color-mapping with palettes. This graph displays a bar chart with data points overlapped. The bars represent the means of the datasets. Bars can be set to show other quantities sum, median, max, etc. A stacked Bridge Chart displaying Value and Proceeds.


Additional options include setting multiple Total columns, showing connect line, connecting by subset ect. Scatter matrix with histogram in diagonal cells. A scatter matrix consists of several pair-wise scatter plots of variables presented in a matrix format. It can be used to determine whether the variables are correlated and whether the correlation is positive or negative. Windrose graph displaying wind speed and direction.


The length of each "arm" is proportional to the fractional frequency at which wind was observed from that direction, while different colors on each "arm" indicate the wind speed.


Windrose graphs can be created using both binned data and raw data and customization of the direction tick labels is supported. Radar chart for displaying and comparing performance of several motorcars in different years. Areas enclosed by lines are filled with incremental colors, and transparency is set to the fill color of the overlay plots for comparison. Customizations for axes include the ability to set each axis to a different scale.


The graph displays an example of bullet chart to show performance review index. The kite diagram shows the transect of photosynthetic pigment concentrations in a hypersaline lagoon in the Bahamas. In a Zoom graph, a zoomed portion of a larger graph is added to explore a region of interest. Moving the cyan rectangle updates that portion of the graph shown by the inset. Origin can plot smith chart using z parameters directly.


From Origin , Smith chart supports zooming in by Scale In button. Polar and radial graphs are relevant to any phenomena characterized by its direction and distance from a fixed point, for example, temperature distribution in Earth's Polar Regions.


Polar graphs are also useful for intuitive visualization of multivariate data. Origin features easy-to-use templates to display data and functions in polar coordinates, including radar and windrose diagrams. Polar chart with log scale. Customization options include setting log scale for radial axis and color-mapping the line by the date or any other variable. Stacked Polar Column Plot. Customization options include stacking bars of different "types", showing only one radial axis at degrees, and setting the radial axis to start from a non-zero value.


Fibonacci Sequences. The graph can be created by generating data with LabTalk scripts, plotting a theta X r Y polar graph and then mapping symbol size and color to the r and theta values. Polar contour with custom orientation and contour line.


The polar contour plot is generated directly from a matrix data. Customizations for axes include setting angular axis orientation to clockwise from degrees and attaching the radial axis to the end angle.


Cropped polar chart with custom orientation and radian scale. Customization options for axes include changing the range and orientation of the angular axis , adding more radial axes and customizing their orientations, ticks, and labels, and cropping the graph to show only a portion of the data.


Two polar contour plots overlaid with one polar chart. This graph is created by merging three graphs, two polar contours surface temperature as a color-filled contour and sea level pressure as green contour lines and one polar chart the coastline of the Northern Hemisphere in two layers.


Transparency is set to both the color-filled contour and the contour lines to make the bottom polar chart visible. It is to show data in circular bars. A vector graph is a multidimensional graph used in industries such as meteorology, aviation, and construction that illustrates flow patterns e.


Customization options for vector include changing color, width and length and angle of arrow head, and adding a light source. This vector plot was created from data organized as X,Y, angle, and magnitude. The vector color was mapped to the magnitude values, illustrating the effect on river water flow around differently shaped pylons. The two pylons were drawn using circle object and a fill-area plot, added as a second layer. An overlay plot depicting worldwide Ocean currents.


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