Visual representation of data is an efficient method to present terabyte-scale data quickly and clearly. This is called data visualization. It goes beyond traditional graphics used to demonstrate statistical data to interactive and web-based visuals that use real-time data collected via various instruments.
Arrowad Group experts carried out significant research on the data visualization during the past few years. Accomplished work includes research projects for major customers such as the Saudi Aramco. There are also a number of ongoing proposals submitted by Arrowad Group to implementation national dashboards for monitoring KPIs for strategic initiatives.
Arrowad uses systematic and commonly accepted taxonomy of analytic activities for data visualization. Arrowad's approach is based on a taxonomy presented by three American scientists: Robert Amar, James Eagan, and John Stasko from Georgia Institute of Technology, USA.
This taxonomy classifies visualization tasks into 10 categories, these are: retrieving values, filtering them, computing derived values, finding extremes, sorting, determining ranges, characterizing distribution, finding anomalies, clustering and correlating values.
The above mentioned 10 categories of tasks can be further organized into three poles of activities:
finding data points, and
arranging data points. The data visualization approach followed by Arrowad Group is shown in the following animation:
Sample of Arrowad Visualization Products
The following visualizations are based on hypothetical datasets and are not meant to demonstrated real results in any area. Even if they might look like real findings, the viewers should not quote or cite results displayed in these visualizations. Contact us if you have data and you want to visualize it using these tools.