Multi-dimensional: These visualizations tend to show data that have two or more variables. These tend to be the most appealing or eye-catching methods. Examples include Venn diagrams, histograms, and stacked bar graphs.
Network: Showing how one set of data connects or relates to other bits of information. This type uses little or no words to show relationships. Matrix charts, word clouds, and node-link diagrams show the connection between the networks.
Geospatial: This category shows changes in phone number list sales over a specific period. It can show other changes, such as demographics or even acquisitions. Researchers drape familiar maps with different data points. These points represent real-time physical locations. Examples include Flow maps, Density maps, and heat maps.
To be effective, managers need to understand information about their specific business. They also need the ability to manipulate this data into actionable information. One of these ways is mastering Data Visualization techniques. Placing complex data into a visual presentation has many advantages. It allows managers and their teams to comprehend the current state of the company. It assists in pinpointing patterns that are detrimental to the business. Data Visualization can also help executives in making informed decisions. They can come up with better strategies geared towards the success of the company.