In the figure above, we see how the same data can be presented in different ways and the effectiveness each different technique may have in conveying the insights. Pie charts are one of the most overused graphs and in most cases are not the best way to represent data. In this example using similar colors and having too many slices that can be difficult to read and distinct are setting limitations that can be alleviated with the use of a bar chart. The use of an appropriate color palette and a bar chart allows the viewer to effortlessly distinguish and compare the values of each bar instead of taking time and effort to process the pie chart.

Data visualisation holds many principles and constantly generates new opportunities for future research, which will bear fruit to every business, scientist and individual that will take advantage of it: from governments, finance, marketing, manufacturing, education, to critical infrastructures and so on. Organizations and companies across all these fields that handle huge amount of data from diverse sources, with different particularities, meaning, velocity and type, are urged to cooperate with visualization experts in order to facilitate the communication and knowledge sharing deriving from their analyses. A visualization expert could not only improve the adoption of data-driven knowledge for each stakeholder but also minimize the analysis times, costs, and data-loss scenarios. In parallel, the diversity of data forces the experts to constantly discover new techniques to analyze them in an intuitive way to also expose hidden insights and have meaningful impact.