Dear Sir or Madam,I've just read your message in the PSPP list. One problem is that your data are discrete with a small number of categories, but histograms are most useful for continuous data. For discrete data with a small number of categories, a bar chart is more appropriate. I attached you a pdf file which contains a histogram of your data (variable x), a histogram of continuous data (variable y) and a bar chart of your data (variable x). Obviously, the histogram is most appropriate for the continuous data (variable y), but a bar chart is most appropriate for discrete data (variable x).

Bonne journÃ©e, Oliver Walter Am 06.08.2017 um 11:57 schrieb ftr public:

Hi,I want to graph a simple frequency distribution of ta variable called soctrust from a national sample. I compare the histogram from a FREQUENCIES command with a diagramme from a GRAPH command.The variable can have integer values from 0 to 10. FREQUENCIES /VARIABLES= soctrust /FORMAT=AVALUE TABLE /STATISTICS=NONE /HISTOGRAM=NORMAL. Graph /histogram (Normal) = soctrust.The resulting graphs are different, but both are deficient. This is the frequency distribution.Valeur FrÃ©quence 0 115 1 36 2 164 3 243 4 226 5 482 6 236 7 256 8 114 9 27 10 17 The GRAPH procedure gives the annexed histogram dp-1.png. The FREQUENCIES procedure gives the annexed histogram dp-1.png.What is surprising is that the two procedures give different graphs, and that in both the data are not truthfully mirrored by the visualisation. There should be no empty space between two values.Regards, -ftr

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histogram_barchart.pdf**

*Description:* Adobe PDF document

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