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 journée,
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
|
Fréquence
|
|
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
histogram_barchart.pdf