This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Ways to Explore Graphical Data


After determining what type of graph best represents your data, you can further enhance the visual display of information using the tools discussed in this section. These tools enable you to explore data interactively.

Once you have achieved the desired results, you can then generate the MATLAB® code necessary to reproduce the graph you created interactively. See Save Figure to Reopen in MATLAB Later for more information.

Types of Tools

See the following sections for information on specific tools.

You can also explore graphs visually with data brushing and linking:

  • Data brushing lets you "paint" observations on a graph to select them for special treatment, such as

    • Extracting them into new variables

    • Replacing them with constant or NaN values

    • Deleting them

  • Data linking connects graphs with the workspace variables they display, updating graphs when variables change

Brushing and linking work together across plots. When multiple graphs or subplots display the same variables, linking the graphs and brushing any of them causes the same data to also highlight on other linked graphs. The highlighting also appears on the selected rows of data when the variables are opened in the Variable Editor. For details, see Marking Up Graphs with Data Brushing and Making Graphs Responsive with Data Linking in the Data Analysis documentation.

You can perform numerical data analysis directly on graphs with basic curve fitting.

Was this topic helpful?