If you want to use a point element again you can post hoc edit the chart so that the labels are at the middle of the point.)Īnother example is that I like to place labels in line graphs at the end of the line. (You will have to jitter or dodge the data yourself if using a polygon element in inline GPL. The direct labelling will not work out so well if if many of the points overlap, but jittering or dodging can be used then as well. I like making the points semi-transparent, so when they overlap you can still see the different points (see here for an example with data that actually overlap). Here is an example using a legend, and one has to learn the legend to understand the graph. Other examples I think this would be useful are for simple dot plots in which the categories have meaningful labels. It is great for typical scatterplots, but here I do not want that behavior. When labelling point elements SPSS does intelligent labelling, and does not label all of the points if many overlap (and tries to place the labels at non-overlapping locations). Another side-effect of using a polygon element I should note is that SPSS draws all of the labels. The option styleOnly="true" makes it so the labels are not always generated in the chart. The first style tag specifies the font, and the second specifies the background color and outline (my default was originally a white background with a black outline). Note to get the labels like this my chart template specifies the style of data labels as: GUIDE: axis(dim(1), label("% BA or Higher"))ĮLEMENT: point(position(BAORHIGHER*OBESITY), label(StateAbbr)) GRAPHDATASET NAME="graphdataset" VARIABLES=BAORHIGHER OBESITY StateAbbrĭATA: BAORHIGHER=col(source(s), name("BAORHIGHER"))ĭATA: OBESITY=col(source(s), name("OBESITY"))ĭATA: StateAbbr=col(source(s), name("StateAbbr"), unit.category()) *That link does not work anymore though, see. FILE HANDLE save /NAME = "!!!!Your Handle Here!!!". Here is an example using the college degree and obesity example originally via Albert Cairo. One popular example I have seen is in state level data to use the state abbreviation in a scatterplot instead of a point. We can use this to our advantage to force labels in plots to be exactly where we want them. This is opposed to offsetting the label when using a point element. It is therefore only recommended when you would like to add less than five labels.The other day I noticed when making the labels for treemaps that when using a polygon element in inline GPL SPSS places the label directly on the centroid. With annotations, you have full flexibility over positioning and styling, but you will have to add each label manually. Here's more on that topic.Īnother way to add selective labels to your scatter plot is throughĪnnotations. removing the story navigation – this is useful if you only have one slide.the styling, alignment, and placement of labels – to learn more about this, head over to this help doc. Other things you might want to change include: To do this, click through to the underlying visualization via the "Current slide" button. Once you have placed your labels, you might want to enable the popups again. Clicking on the same point a second time will make the label disappear again. Once you're in the story, you can click on the points that you'd like to display a label, and the label will appear. You can enable them again after setting your selective labels in the next step.Ĭreate a story in the top right corner. This makes adding the selective labels in the next step easier, as the popups won't interfere when you click on them in the story editor. TIP: We recommend disabling your popups in the Popups settings before selecting the labels in your story. Next, in the Dot labels settings, select to To enable selective labels, make sure you've selectedĭot styles settings. The reason you have to ensure that SVG and not WebGL is selected for selective labels to work is that WebGL mode is still in beta and doesn't yet support this functionality.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |