I want a chart that has several separate series running in rows across. They are largely separate charts and should not overlap, but all share the same horizontal datetimeaxis. They don't share the same y-axis, however and that's where I'm getting stuck.
I have tried having a linechart series and then a plotchart series, but it will only allow a single <mx:series> per chart without having them inside the same series which as far as I can tell will place the charts on top of each other in the z-axis. I can stack them and have them completely separate charts, but it was proving to be somewhat irritating having them align correctly.
Is there any reasonable way of combining multiple charts into one like this? Basically having rows in a table where each row is a different chart but the columns are consistent. or am I going to be best served just by stacking separate ones?
an illustration of what i'm going for is here: http://i.stack.imgur.com/8Renf.png
As far as I'm aware, the only way to do this is to stack separate charts. With a little care, it is possible to set things up so that the x-axes line up properly -- the project my team is working on has this.
Related
I'm trying to plotting multiple lines in one single graph. I've combined two of them using dual axis, but I don't know how should I add another.
Thank you in advance for any help.
Since you have mentioned that you want to show multiple measures in one viz it means that one axis is sufficient for all these measures. Therefore, Instead of creating dual axis chart, do it like this-
Step-1 Build line chart with one measure.
Step-2 Drop another measure on the axis directly instead of rows/column shelf where you'll see a double bar icon like the screenshot.
step-3 Drop additional mesaures either in similar ways or onto measure values pane created automatically. See a demonstration screenshot below on sample superstore
I utilized proc gchart in SAS and the following code to generate the graph displayed here.
proc gchart data=combined;
vbar distrct / discrete type=sum sumvar=PERCENT
subgroup= population coutline=gray width=6;
run;
However, as you can see it seems that individual variable bars are stacked extremely close together and is difficult to comprehend. I have 110 variable bars representing densities of ethnic groups
My question is
is there a way to make this graph look less cluttered (I tried reducing the width but it does not seem to work)?
Should I be using a different procedure than the g chart procedure?
2 is easier to answer; proc gchart is mostly replaced by proc sgplot nowadays. It's still maintained, but I don't think much new work is being done in gchart or the other sas/graph procedures.
As for how to make it better; there are some answers, definitely, for how to improve it, but ultimately trying to show 110 bars each split by four ethnicities, means your'e showing 440 data points on one graph. That's going to be a tough lift no matter what.
The first thing I'd consider is switching to horizontal. Horizontal may allow you to have a larger graph, allowing for more spacing, and often times readers have an easier time reading horizontal charts when combining that with stacked bar charts. Scrolling is also easier up-down for most people (a mouse wheel), so if it's okay that they not see it on one screen this may be better. It also allows the bar titles to be presented in the usual left-to-right manner.
Second, consider if your bars can be grouped together. Do you have regions or such that allow you to group bars together, with a bit more spacing between the region? Or more importantly, are there bars that you'd like the readers to be comparing visually to each other? Right now it looks like it's sorted alphabetically, but that is probably not the right way to sort it if there's any sort of relationship between the bars. For example, does the area have sub-areas that are ethnically related? Maybe group those together; or by just geographies (here is the north-east section, here's the east, here's the south-west, etc.) Any time you can group like-things together it makes it easier for the reader to understand what they're looking at and draw sensible conclusions.
You could also sort them by a particular racial makeup - say, in descending order of "color" which seems the dominant population group - which is often an effective way to present data that's this cluttered, as a reader can both see the trend and can find, say, their neighborhood and see where it falls in the order just by looking.
Best overall though might be to group the district up and then display that, so you have many fewer bars. If there's a sensible way to do that, that'll get your idea across more effectively.
I'm attempting to try and increase the vertical spacing between multiple x-axes using JFreeChart. Currently, my charts look like this:
Current chart
However, I need to produce something like the following so that the x-axes are more clearly defined (note that the vertical spacing between the x-axes is larger than in the first image):
Desired chart
Does any one have any idea on how to do this? I've been searching the JFreeChart API for > 2 days now and can't find anything that directly addresses the issue other than attempting to use org.jfree.chart.axis.AxisSpace in some way.
Many thanks for any help!
One approach would be to customise the axis label insets (that is, increase the space below each axis label).
http://www.jfree.org/jfreechart/api/javadoc/org/jfree/chart/axis/Axis.html#setLabelInsets-org.jfree.ui.RectangleInsets-
I know it is possible to create such double pie charts in excel like this:
http://chandoo.org/wp/2009/12/02/group-small-slices-in-pie-charts/
but can SPSS or R do this also?
In relation to R:
The answer to the title question is "yes" ... see ?pie
As for the second question, the one in the body - it would be possible but would involve some coding. You'd have to draw two pie charts side by side (which could be managed with two calls to pie) and use segments or arrows (and text if necessary) to do the additional components of the plot.
Here's a rough example:
That required the fig argument of par to get them side-by-side.
(That example required a little fiddling to get right, but it would be possible to write a function to automate the details.)
The main issue I can see would be 'why on earth would you do it?' -- pie charts are a poor way of conveying information of this form. There are alternatives that result in much better ability to distinguish values, and less bias (such as what you get when comparing nearly horizontal vs nearly vertical slices).
I know it is possible to create such double pie charts in excel like this:
http://chandoo.org/wp/2009/12/02/group-small-slices-in-pie-charts/
but can SPSS or R do this also?
In relation to R:
The answer to the title question is "yes" ... see ?pie
As for the second question, the one in the body - it would be possible but would involve some coding. You'd have to draw two pie charts side by side (which could be managed with two calls to pie) and use segments or arrows (and text if necessary) to do the additional components of the plot.
Here's a rough example:
That required the fig argument of par to get them side-by-side.
(That example required a little fiddling to get right, but it would be possible to write a function to automate the details.)
The main issue I can see would be 'why on earth would you do it?' -- pie charts are a poor way of conveying information of this form. There are alternatives that result in much better ability to distinguish values, and less bias (such as what you get when comparing nearly horizontal vs nearly vertical slices).