Data Visualization is output the data in a visual way, the visualization of variables such as position, length, for HR dataset a visualized graph variable could be income, hours of week, compensation and others. To visulized the data we usually output the data using graphs such as bar chart, pie chart.

In The Paper of Cleveland and McGrill, authors explained about what is the best way to produce data in a visualized way. In traditional ways to present what’s in the data and what the data want to show required a lot of thinking and imagnation, however with data visualiation, it could be very clear show the relationship and trendency of the data. By this way presentor could bring a very clear and impressive presentation instead of of boring talking about the data, simply speaking out the data, and how it looks like.

Fig 1 is a very simple scatter plot. Using this we could have a rough idea of how the data are like and the trend of it.

Fig 1 simple visualization scatter plot

References

[1] W. S. Cleveland and R. McGill. Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association, 79(387):531-554, September 1984.

[2] J. Heer and M. Bostock. Crowdsourcing graphical perception: Using mechanical turk to assess visualization design. In ACM Human Factors in Computing Systems (CHI), pages 203-212, 2010.

[3] J. Talbot, V. Setlur, and A. Anand. Four Experiments on the Perception of Bar Charts. In IEEE Transactions on Visualization and Computer Graphics, Volume: 20, Issue: 12, Dec. 31 2014.

[4] M. Stone and L. Bartram. Alpha, contrast and the perception of visual metadata, 2009