After you import data into the MATLAB ® workspace, it is a good idea to plot the data so that you can explore its features. An exploratory plot of your data enables you to identify discontinuities and potential outliers, as well as the regions of interest.

Create plots by passing a table to the plot function followed by the variables you want to plot. When you specify your data as a table, the axis labels and the legend (if present) are automatically labeled using the table variable names.

Types of MATLAB Plots. There are various functions that you can use to plot data in MATLAB ®. This table classifies and illustrates the common graphics functions.

Use plots to visualize data. For example, you can compare sets of data, track changes in data over time, or show data distribution. Create plots programmatically using graphics functions or interactively using the Plots tab at the top of the MATLAB ® desktop.

To create two-dimensional line plots, use the plot function. For example, plot the sine function over a linearly spaced vector of values from 0 to 2 π : x = linspace(0,2*pi); y = sin(x); plot(x,y)

The MATLAB plot gallery provides examples of many ways to display data graphically in MATLAB. You can view and download source code for each plot, and use it in your own MATLAB project.

Plot vectors and matrices of data with different types of visualizations, including line plots, scatter plots, bar plots, and histograms. Learn common customization and annotation techniques in MATLAB.

Visualize the distribution of data using plots such as histograms, pie charts, or word clouds. For example, use a histogram to group data into bins and display the number of elements in each bin.

Mar 25, 2021 · Using the Create Plot Live Editor task, you can quickly and interactively explore and create plots from your data without needing to write code yourself. Browse dozens of chart types and choose the one that tells the best story with your data.

Sep 23, 2015 · Then, read the column data as X and Y variables into Matlab. ( Use the column header names in the Excel file to extract values. Please see the example below)