![]() ![]() ![]() Often, their goal is to compare two trends with each other. Giving readers the possibility to do so makes a lot of sense – but there are some reasons why a dual axis chart is not the way to go. Let’s have a look at the problems with dual axis charts before thinking about alternatives: The problems with dual axis charts In fact, of these four use cases, we think that only the last dual axis chart can be used without any doubt, since it only uses the second Y-axis to show an alternative scale and not a second data series. Let’s use some real Worldbank data for the German GDP and the global GDP between 20 to explain that: Here’s the problem in a nutshell: The scales of dual axis charts are arbitrary and can therefore (deliberately) mislead readers about the relationship between the two data series. 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. ![]() SHA-1: 58977e844f4f868e76da1cb7f8d009f1f8b185b0 Filename: veusz-1.21.1-AppleOSX.So how small is the relationship between these two lines? Let’s go crazy. License: Free Latest update: Monday, July 23rd 2018 Author: Jeremy Sanders ![]() Technical Title: Veusz 1.21.1 for Mac Requirements: Input and output: EPS/PDF/PNG/SVG/EMF exportDataset creation/manipulationEmbed Veusz within other programsText, CSV, HDF5, FITS, NPY/NPZ, QDP, binary and user-plugin importingData can be captured from external sourcesExtending:Use as a Python 2/3 moduleUser defined functions, constants and can import external Python functionsPlugin interface to allow user to write or load code toimport data using new formatsmake new datasets, optionally linked to existing datasetsarbitrarily manipulate the documentScripting interfaceControl with DBUS and SAMP.Plotting features: X-Y plots (with errorbars, colours and sizes)Line and function plotsContour plotsImages (with colour mappings and colorbars)Stepped plots (for histograms)Bar graphsVector field plotsBox plotsPolar plotsTernary plotsPlotting datesFitting functions to dataStacked plots and arrays of plotsNested plotsPlot keysPlot labelsShapes and arrows on plotsLaTeX-like formatting for textMultiple axesAxes with steps in axis scale (broken axes)Axes scales using functional forms, optionally linked to another axisPlotting functions of datasets. ![]()
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