By Ghiani G., Laporte G.

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On the other hand, its primary user interaction is through a command language, not through a point-and-click GUI interface. Don’t let the notion of a command language throw you: gnuplot is easy to use— really easy to use! It takes only one line to read and plot a data file, and most of the command syntax is straightforward and quite intuitive. Gnuplot does not require programming or any deeper understanding of its command syntax to get started. So this is the fundamental workflow of all work with gnuplot: plot, examine, repeat—until you have found out whatever you wanted to learn from the data.

The next day you wonder: what went wrong? Let’s look at the data to see what we can learn about it. So far, all we know of it is the mean and the standard deviation. The mean is convenient: it is easy to calculate and it summarizes the entire data set in a single number. But in forming the mean, we lost a lot of information. To understand the whole data set, we have to look at it. And since we can’t understand data by looking at more than 2,000 individual finish times, this means we’ll have to plot it.

What is graphical analysis? 9 In gnuplot, all details of a graph’s appearance are handled by setting the appropriate options. 4 is drawn using double-logarithmic axes. 7 title "model" This command introduces a further gnuplot feature: the title directive. 4). 2. That’s a somewhat different beast. You’ll notice that the border and the tic marks are missing. The aspect ratio (the ratio of the graph’s width to its height) has been constrained to 1, and a single dot has been placed at the position of each particle in the cluster.

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