What are the different types of data visualisation techniques?

There are several different types of data visualization techniques, including:

1. Bar charts: These are used to compare different categories or groups by representing data using rectangular bars of varying lengths.

2. Line charts: These are used to show trends or changes over time by connecting data points with lines.

3. Pie charts: These are used to represent proportions or percentages of a whole by dividing a circle into slices.

4. Scatter plots: These are used to display the relationship between two variables by plotting data points on a graph.

5. Heat maps: These are used to visualize data in a matrix format, where colors represent the intensity or magnitude of the values.

6. Tree maps: These are used to display hierarchical data using nested rectangles, with each rectangle representing a category or sub-category.

7. Network diagrams: These are used to show relationships or connections between different entities or nodes.

8. Geographic maps: These are used to represent data on a geographical or spatial scale, often using colors or symbols to indicate values or categories.

9. Word clouds: These are used to visually represent text data, where the size or color of words corresponds to their frequency or importance.

10. Infographics: These are used to combine various visual elements, such as charts, graphs, and illustrations, to present complex information in a visually appealing and easily understandable manner.