Origin 2025b Features

Origin 2025b Features

Graphing

New Graph Types

JIRA

SUMMARY

DESCRIPTION

DETAILS

JIRA

SUMMARY

DESCRIPTION

DETAILS

ORG-28452

Treemap Plot

support Treemap in plot menu

Plot: Categorical: Treemap

ORG-30655

Run Chart

A run chart, also known as a run-sequence plot is a graph that displays observed data in a time sequence.

The plot is under Plot > Statistical: Run Chart

Select at least one column to create run chart. For multiple columns, each row is one subgroup.

Origin's Run Chart plots the collected data by specified subgroups; each subgroup contains the observed data from the same time. All observed data will be plotted as vertically arranged dots by subgroups, and the mean or median of each subgroup will be plotted as Line+Scatter plot against the time series. A horizontal dash line at mean or median of whole input data will be added as the reference line.

image-20250623-074047.png

 

ORG-30666

Interaction Plot

The interaction plot looks like a Scatter Matrix, shows a matrix of interaction plots.

The plot is under Plot > Statistical: Interaction Plot

Select at least one data column and one factor column to create interaction plot by factors. In a Interaction plot, the number of rows and columns are both equal to the number of grouping variables(factors), each panel(except the diagonal panels) indicates the interaction of the row effect with the column effect.

When you select N factors, you will get N*N layers(cells). For the (N, M) cell, get the mean of data column by Nth and Mth factor. Then plot Mth factor in X direction against Y as line+symbol plot, Nth factor set to subset column. Note: Cell (N, M) and (M, N) share the same data in the result plot data sheet.

image-20250623-074513.png

 

ORG-30379

Symmetry Plot

Symmetry Plot can be used to determine whether the response data is symmetrically distributed.

The plot is under Plot > Statistical: Symmetry Plot

Select at least one column to create symmetry plot.

To create a symmetry plot, Origin will

  • sort your data in ascending order;

  • calculate the median value of dataset;

  • draw a scatter plot with the upper distance of the median on the X axis against the lower distance to the median on the Y axis;

  • add a reference line Y=X to represent a perfectly symmetric sample;

  • create a histogram plot to show the shape of distribution, with a reference line at median value

image-20250623-075008.png

 

ORG-30665

Main Effects Plot

The Main Effects plot is very useful when you have several categorical variables. You can use it to compare the changes in the level means to see which categorical variable influences the response the most.

The plot is under Plot > Statistical: Main Effects Plot

Select at least one data column and one factor column to create main effects plot by factor(s).

Origin's Main Effects plot allows you selecting multiple response data as Input data and multiple categorical varaibles as Factors. Each input column will be plotted as a seperate Main Effects plot, and each factor will be plotted as a graph layer. In each layer, each value of the factor will be plotted as a data point with its mean response values. The mean of whole response data will be plotted as a dash reference line.

image-20250623-091155.png

 

Comments