This chart has two different y-axes: The left axis shows the global GDP with a range from $40 to $80 trillion. The right axis shows the German GDP with a range between $2.5 and $4 trillion. A second axis sounds like a good solution – but there are three problems we have with them: Zero baselines at different heights can mislead The measure (US-Dollar) is the same, but we have a wildly different magnitude. The proportions of the two scales are often different from each other in dual axis charts. If the left axis would go down to zero, the chart would be twice as long. ![]() This is how both axes look like when we extend them to zero: If the right axis would go down to zero, the chart would be almost three times as long. So while the chart looks like the German GDP and the global GDP go up at roughly the same rate (at least until 2014), they don’t. The global GDP increased by 80% until 2014 the GDP of Germany by 40%. ![]() Most readers are used to line charts with just one scale. So when they see a line chart with two scales, their intuition goes into the normal “that’s how I read a line chart”-mode: “Oh, two lines, cool, same rate, interesting”. Readers actively need to remind themselves that these two lines have less of a relationship than they’re used to seeing in a line chart. * Click the new element "xy1" and in the "Properties - Veusz " pane select your X and Y data from the drop down lists.So how small is the relationship between these two lines? Let’s go crazy. Selecting "xy1" will allow you to set the data for each axis and the display name for the plot key. Strain Amplitude, Reversals), set the minimum and maximum axis values, as well as set the axis to display as logarithmic. When selecting "x" or "y", the "Properties" pane will allow you to assign labels to the axes (e.g. Selecting any of these will allow you to format each individually. * On the left hand side, you now have a list of elements "x, y, xy1". To plot more than one set of data on a graph, click "Insert -> Add xy" again and this will create a new element "xy2". This will create the element "xy1" where you can link your data to the graph. * On the left hand side, highlight "graph1" then click "Insert -> Add xy". Your data should now be visible in the "Dataset" pane on the right hand side. Make sure your data was read correctly and click "Import" on the bottom right of the Import data window. Browse to your formatted data file and click open. Select the tab that corresponds to your data format (e.g. * Click "Data -> Import" to open the import data window. * Now that your data file has been formatted, open Veusz. Once data is properly arranged, it can be saved as a comma delimited. An example of data formatting is shown in the Excel image below. * One of the easiest methods for formatting data to import into Veusz is by using Microsoft Excel. ![]() The developer's site, basic tutorials, and a full list of features are available. In addition, you can also enter, manipulate or examine data from within the application. Data can be read from text, CSV, HDF5 or FITS files. The program runs under Unix/Linux, Windows or Mac OS X, and binaries are provided. SVG, EMF and bitmap export formats are also supported. It is designed to produce publication-ready Postscript or PDF output. ![]() Veusz is a GUI scientific plotting and graphing package. You can view and copy the source of this page: The action you have requested is limited to users in the group: Users.
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