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One way a scientist, engineer, or researcher can better understand the vast amounts of data they manage is through diagrams. Charts not only help you better visualize results, but also help you detect patterns and trends.

gnuplot is a tool that addresses the above categories, as well as students and teachers in various fields of science who need to deal with big data. Considering it has been actively developed since 1986, it is a well-known name in the industry.

Allows you to create various 2D and 3D plots

The program comes with a graphical interface and a CLI version, the latter being agreed to provide a more powerful tool. The GUI is more user-friendly, providing ways to enter commands as well as edit and manipulate datasets. You can load data from a specific file, customize aspects of the chart, or specify a chart type. The CLI does the same thing, with the difference that it’s better suited for automation and scripting.

Regardless of the data source, the application allows you to create a large number of 3D and 2D plots that can be annotated with labels, legends and other relevant elements. Depending on your field and data type, you can create line, scatter, bar, histogram, surface, contour, pie, boxplot, or error bars plots.

It can handle large and complex datasets

As mentioned earlier, you can create scripts to work with the application, a feature that helps you automate routine steps in the data analysis process. On the other hand, you need to have a good grasp of how to use certain commands to produce the best graphics, and this may take some time and effort on your part.

All in all, gnuplot is a reliable and versatile plot generation tool that can come in handy in many scientific fields where large datasets need to be processed, including but not limited to physics, engineering, chemistry, biology, economics, and mathematics.