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else that might be of importance for a later interpretation of the data. In
my experience, having to write these things in a book by hand is tedious and
error-prone. It's the kind of job that computers were made for.

Another goal is to free the experimenter from having to repeat himself all the
time when the data is used for analysis or presentation. Let us assume that,
for example, you are measuring a very small current with the help of a current
amplifier. This current amplifier will output a voltage that is proportional to
the original current, so in fact you will be measuring a voltage that can be
converted to the original current by multiplying it with a certain factor. But
as long as the precise formula for this transformation is not stored
together with the data, you will still find yourself repeatedly typing in
the same expressions, whenever you work with the data. This is where the I<axis>
concept comes into play. Already at the time you are preparing your measurement script,
you define an I<axis> named I<current> that stores the expression to calculate
the current from the voltage. From there you work with the current-axis and will
never have to care about the conversion again. And of course you can define many
different axes. Read on!

=head2 The concept of sweeps