Improving an X-Y plot in Excel
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Improving an X-Y plot in Excel
The plot can now be formatted. Click the plot and “Chart Tools” appear. One can now select various options in turn. The order chosen below is not critical.
Firstly, insert a centred title above the plot, e.g. the data set name:
A chart title can be useful when working with many data sets. In this case, the data set identifier has been used. In a publication, this would normally be omitted and the plot would be shown with a proper figure caption below it to explain the data.
Note the fact that sometimes the data is not true counts due to scaling, and that sometimes counts per second (cps) or relative / normalised intensity are also used on the Y-axis.
Note that sometimes it can be useful to plot the data in 1/d (but not in d) (in Å−1), which is wavelength independent.
Click on the plot area and format it:
Set to no fill and use a black solid-line border of, say, 1.5 pt† line thickness:
Click near the x- and y-axes and format each of these in turn.
Use the same solid black line thickness for each.
At the same time, set the number of decimal places for the numbers to
zero, and choose sensible plots limits and intervals for the
values displayed on the axes:
Note that there are no peaks below 10° for this sample and
that the intensity above 90° is reduced by the collimator,
hence the choice of X-scale limits in this instance.
Right click (just once) on the data to select and format the data series.
For a single data series, a solid black line should always be chosen
(do not use colour gratuitously!). The line thickness was chosen here to be,
say, 1 pt. The line on a PXRD plot should be relatively thin unless the
X-scale has beeen expanded.
Now click on the text on the X- and Y-axes in turn and set the font size
larger. This is crucial as the text on the plot will appear much smaller
when the chart is copied and pasted into a Microsoft Word document as
a picture:
Then choose Edit to access the selected data set series name:
The final plot after all these changes looks like this:
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