To perform data visualization in MATLAB, follow these steps: First, import your data using functions like readtable or readmatrix Then, preprocess the data to handle missing values and inconsistencies Next, choose the appropriate plotting function based on your data type and analysis goal. For example, use plot for line plots, scatter for scatter plots, bar for bar charts, and histogram for histograms You can also create more complex visualizations like box plots with boxplot, heatmaps with heatmap, and 3D plots with functions like plot3 and surf Customize your plots by modifying colors, line styles, markers, and adding labels and titles to enhance clarity Finally, export your visualizations in desired formats for sharing For MATLAB assignment help and as an assignment helper, remember to follow best practices for data visualization, such as choosing the right visualizations, keeping it simple, using colors effectively, and providing context through annotations and legends