Dependencies in Dataset #8087
Entries (observed variables)
No. | Name |
---|---|
01 | Time_start, Secs after midnight, Time of aquisition |
02 | N, #/m^3, total counts |
03 | CWC, kg/m^3, cloud water content (assuming droplets) |
04 | ED, m, effective diameter (ratio of the 3rd and 2nd moments of the distribution of the particles maximum dimension) |
05 | dNdD_001, #/m^4, concentration per bin |
06 | dNdD_002, #/m^4, concentration per bin |
07 | dNdD_003, #/m^4, concentration per bin |
08 | dNdD_004, #/m^4, concentration per bin |
09 | dNdD_005, #/m^4, concentration per bin |
10 | dNdD_006, #/m^4, concentration per bin |
11 | dNdD_007, #/m^4, concentration per bin |
12 | dNdD_008, #/m^4, concentration per bin |
13 | dNdD_009, #/m^4, concentration per bin |
14 | dNdD_010, #/m^4, concentration per bin |
15 | dNdD_011, #/m^4, concentration per bin |
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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