Analyzing & Visualizing Data

Analyzing & Visualizing Data

Summary of why the visualizations are selected

The visualizations allow the user to retrieve adequate information, skills, or knowledge about the datasets. Moreover, the visualization further has an appropriate illustration of the data highlighted to allow for easy acquisition of needed knowledge. In one of the chosen visualization, the tool for the ‘search’ task tends to be application-specific, such as volume visualization.

What caught attention?

Some of the domain knowledge seems to have already been incorporated into different visualization systems, either unintentionally or intentionally. For instance, in case an extensive repository of knowledge is collected, it allows for a visualization system to select a practical transfer function regarding the information on the input datasets.

Were the visualizations effective in presenting the provided data?

The visualizations seem to operate perfectly well since automatic updates based on the performing values rely on the set filters. The visualization further helped users to transfer data in the computational space to information and knowledge; thus facilitating the visualization technology.

Improving on the visualization

Establishing whether the targeted audience is likely to actively employ the data featured is essential before designing some of the visualizations. For instance, the visualization seems blurred and overburden and may not motivate a user to retrieve that information or actively use the information provided. So visualization that is more complex and has advanced filters would be more effective.