Dependencies in Dataset #8790
Entries (observed variables)
No. | Name |
---|---|
A | virtual entry: string8 given by 8 constant values |
B | virtual entry: temperature of immersion freezing measurement given by 401 constant values |
C | virtual entry: string4 given by 4 constant values |
D | virtual entry: seconds of day since 00 hours at flight date given by 10676 constant values |
1 | INP concentration as a function of temperature and time (INP per L) |
2 | lower error of INP measurement based on Poisson statistics (see Agresti & Coull, 1991) (INP per L) |
3 | upper error of INP measurement based on Poisson statistics (see Agresti & Coull, 1991) (INP per L) |
4 | volumetric flow rate corrected for ambient conditions (liters per minute) |
5 | sampled filter [None] |
6 | inlet used for sampling [None] |
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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