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Data visualization is what attracts at first sight is what properly should help affirm what text and numerical results say (Anscombe's quartet). It is important because otherwise it may bring confusion. 

For some time I was looking for information on the subject and I must say it is abundant. From a beautiful historical data infographic to a great WTF Visualization

There are resources that can be used to improve the graphical representation of our investigation as we can find organized on Nature Methods and in the pages of the courses CS 171 - Visualization and CS 1109 Data Science on the subject of the prestigious Harvard University.

The tools to perform graphics are abundant most important and most used are python and R also can be used more easily Matlab or Tableau, BoxPlotR,etc.

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