By Ruben Geert van den Berg on April 12th, 2021.The table below quickly summarizes the differences between the two options we discussed in this tutorial. GRAPH as pasted from Graphs Legay Dialogs is a reasonable option too.Īs with most charts, Graphs Chart Builder is better avoided since it's way more complicated and results in the exact same chart as the aforementioned options.
![spss 21 3d bar chart spss 21 3d bar chart](http://cloud.originlab.com/www/resources/graph_gallery/images_galleries_new/Bar_Graph_of_African_Population.png)
In most cases, typing a simple FREQUENCIES command is by far the best option for creating bar charts. This is yet another good reason for always transposing our bar charts. With respect to the layout of reports, we prefer having the heights (rather than the widths) of our charts depend on the amount of content they contain. For a better solution, see SPSS - Set Chart Sizes Tool. SPSS does not offer a solution for this other than “stretching” each chart manually in the output viewer. In fact, categories may disappear altogether if they don't fit into the chart anymore. However, a bar chart for many categories needs more space than a chart for few categories. One issue with all SPSS charts is that their sizes are fixed in pixels. Second, GRAPH does not allow us to sort our categories but a chart template can fix that. For running charts or tables over many variables, see SPSS with Python - Looping over Scatterplots. However, we can remove the line breaks from the syntax and copy-paste-edit it a couple of times for a handful of variables.
![spss 21 3d bar chart spss 21 3d bar chart](https://www.spss-tutorials.com/img/spss-bar-chart-means-by-category-dialog.png)
Note: unfortunately, GRAPH takes only one variable at the time. GRAPH /BAR(SIMPLE)=PCT BY sector_2010 /TITLE='All Respondents | n = 40'.