This example shows how to easily visualize data from big datasets in reports. The freely available software packages R, LyX and LaTeX yield flawless graphs.
Scientific research should be reproducible. Your scientific reporting should enable others to repeat your research project. Transparent data processing can contribute to reproducible science. Every article, thesis or report contains a “methods” section. Here the author describes typically only on a high-level the calculations that were performed on the measurement data. People acquainted with the field of research can understand this. Others are left with questions.
Reporting on processed data can become tedious. Imagine having produced twenty graphs from (processed) measurement data. When looking at the graphs the other day, it occurs to you that the colors are indistinguishable for color blind people. Thus you need to produce those twenty graphs a second time. Just because of the colors. You could save yourself from this extra work, when you integrate data processing and reporting.
Apart from the use of ligatures, the horizontal placement of individual characters can be optimized. For example, an “e” next to a capital “Y” can be shifted somewhat to the left, such that this e can shelter a bit under the roof provided by Y. This looks better to the eye compared to the standard horizontal space used between characters.
A lot of references to other articles, books etc. are made in a scientific article. BibTeX closely cooperates with LaTeX in order to take care of our bibliography. In fact, many people started using LaTeX/BibTeX for the very reason of hassle-free citations.
The good news is, you can start using your bibliography (.bib file) while writing your text in LyX. Just choose a citation style, and be assured you can come back to this decision any time.