Dependencies in Dataset #3975

uploaded by Adrian Walser, U Wien
during ML-CIRRUS mission

Entries (observed variables)

Information about observed variables of the current dataset.
No.	Name
01	time in seconds after 00Z of the day of first measurement, counting continuously thereafter
02	volumetric sample flow rate [vccm]
03	sample flow flag marking deviations from the set value of more than 10%
04	stp number concentration of channel 11 [cm^-3]
05	stp number concentration of channel 12 [cm^-3]
06	stp number concentration of channel 13 [cm^-3]
07	stp number concentration of channel 14 [cm^-3]
08	stp number concentration of channel 15 [cm^-3]
09	stp number concentration of channel 16 [cm^-3]
10	stp number concentration of channel 17 [cm^-3]
11	stp number concentration of channel 18 [cm^-3]
12	stp number concentration of channel 19 [cm^-3]
13	stp number concentration of channel 20 [cm^-3]
14	stp number concentration of channel 21 [cm^-3]
15	stp number concentration of channel 22 [cm^-3]
16	stp number concentration of channel 23 [cm^-3]
17	stp number concentration of channel 24 [cm^-3]
18	stp number concentration of channel 25 [cm^-3]
19	stp number concentration of channel 26 [cm^-3]
20	stp number concentration of channel 27 [cm^-3]
21	stp number concentration of channel 28 [cm^-3]
22	stp number concentration of channel 29 [cm^-3]
23	stp number concentration of channel 30 [cm^-3]
24	stp number concentration of channel 31 [cm^-3]
25	stp number concentration of channel 32 [cm^-3]
26	stp number concentration of channel 33 [cm^-3]
27	stp number concentration of channel 34 [cm^-3]
28	stp number concentration of channel 35 [cm^-3]
29	stp number concentration of channel 36 [cm^-3]
30	stp number concentration of channel 37 [cm^-3]
31	stp number concentration of channel 38 [cm^-3]
32	stp number concentration of channel 39 [cm^-3]
33	stp number concentration of channel 40 [cm^-3]
34	stp number concentration of channel 41 [cm^-3]
35	stp number concentration of channel 42 [cm^-3]
36	stp number concentration of channel 43 [cm^-3]
37	stp number concentration of channel 44 [cm^-3]
38	stp number concentration of channel 45 [cm^-3]
39	stp number concentration of channel 46 [cm^-3]
40	stp number concentration of channel 47 [cm^-3]
41	stp number concentration of channel 48 [cm^-3]
42	stp number concentration of channel 49 [cm^-3]
43	stp number concentration of channel 50 [cm^-3]
44	stp number concentration of channel 51 [cm^-3]
45	stp number concentration of channel 52 [cm^-3]
46	stp number concentration of channel 53 [cm^-3]
47	stp number concentration of channel 54 [cm^-3]
48	stp number concentration of channel 55 [cm^-3]
49	stp number concentration of channel 56 [cm^-3]
50	stp number concentration of channel 57 [cm^-3]
51	stp number concentration of channel 58 [cm^-3]
52	stp number concentration of channel 59 [cm^-3]
53	stp number concentration of channel 60 [cm^-3]
54	stp number concentration of channel 61 [cm^-3]
55	stp number concentration of channel 62 [cm^-3]
56	stp number concentration of channel 63 [cm^-3]
57	stp number concentration of channel 64 [cm^-3]
58	stp number concentration of channel 65 [cm^-3]
59	stp number concentration of channel 66 [cm^-3]
60	stp number concentration of channel 67 [cm^-3]
61	stp number concentration of channel 68 [cm^-3]
62	stp number concentration of channel 69 [cm^-3]
63	stp number concentration of channel 70 [cm^-3]
64	stp number concentration of channel 71 [cm^-3]
65	stp number concentration of channel 72 [cm^-3]
66	stp number concentration of channel 73 [cm^-3]
67	stp number concentration of channel 74 [cm^-3]
68	stp number concentration of channel 75 [cm^-3]
69	stp number concentration of channel 76 [cm^-3]
70	stp number concentration of channel 77 [cm^-3]
71	stp number concentration of channel 78 [cm^-3]
72	stp number concentration of channel 79 [cm^-3]
73	stp number concentration of channel 80 [cm^-3]
74	sum of stp number concentrations [cm^-3]

Dependencies of the observed variables

The interactive table provides a visualization of the dependencies of this dataset's entries (variables) which will hopefully assist you to understand the datasets structure.

Most datasets are simple, e.g. like 10 entries depending on 1 entry. But there are other datasets which are far more complex; with relationships between various entries and even reversed dependencies.

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Direction of relationships

Entry A		Entry B
	(=depends on)

Explanation

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