Dependencies in Dataset #8780
Entries (observed variables)
| No. | Name |
|---|---|
| A | virtual entry: string4 given by 4 constant values |
| B | virtual entry: temperature of immersion freezing measurement given by 401 constant values |
| C | virtual entry: string8 given by 8 constant values |
| D | virtual entry: seconds of day since 00 hours at flight date given by 5451 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.
Warning: It works only with JavaScript enabled in your browser.
Direction of relationships
| Entry A | Entry B | |
|---|---|---|
| (=depends on) |
Explanation
Enable Javascript and you'll see the dependencies of this dataset explained in this box while hovering over the table on the left.