Swarm Plot: Data Redistribution in Non-Random Technique

Data visualization is a process of converting data into visual forms with the purpose to extract hidden knowledge behind the data. One of the commonly used visualization is swarm plot which is suitable for small dataset. This is due to the fact that as data getting bigger, the data points will tend to overlap and be congested on the plot. Thus, it might lead to misrepresentation of data patterns and could result in false knowledge extraction. Thus, there is a need to have an effective swarm plot technique that can manage bigger data with no overlapping of data points. To achieve the objective, this research has formulated and enhances the process of identifying the right coordinate for each point on the plots. Overall, the system has successfully improved the redistribution of data points as such it can manage bigger data and at the same time avoid points from overlapping.