Visualization techniques are methods used to visually present data and information in a way that is understandable and accessible to users. These techniques utilize a variety of tools, such as charts, graphs, maps, and interactive dashboards, to help users analyze and interpret complex data sets. Some common visualization techniques include: 1. Bar charts: Bar charts are used to represent data in a series of bars, with the height of each bar corresponding to the value of a specific variable. 2. Line charts: Line charts are used to show trends over time by connecting data points with a line, making it easy to see patterns and changes. 3. Scatter plots: Scatter plots display the relationship between two variables by plotting data points on a graph, allowing users to identify correlations or outliers. 4. Heat maps: Heat maps use color coding to represent data values on a map or grid, making it easy to visualize patterns or clusters in the data. 5. Tree maps: Tree maps display hierarchical data structures in a series of nested rectangles, with the size of each rectangle corresponding to the value of a specific variable. Overall, visualization techniques are essential tools for gaining insights and making informed decisions based on data analysis.