We began the section with installing the gnuplot and the EasyPlot Haskell library. We discussed the moving average using the 200-day and the 50-day moving average, which is frequently used by analysts in market analysis. But beware, these are not substitutions for good, solid research. We discussed how to make our plots publication-ready by adding a legend and saving our images to files, and we discussed how to feature scale our plot so that it's on the range of -1 to 1. Feature scaling always retains the shape of the data.
Finally, we demonstrated the utility of taking the log of data. It allowed us to compress higher values, while retaining the general shape of lower values. This changes the overall shape of a plot. In our next chapter, we will discuss the normal distribution.
