Dependencies in Dataset #7854
Entries (observed variables)
| No. | Name |
|---|---|
| A | virtual entry: TIME_DIM given by 26100 constant values |
| B | virtual entry: GRID_DIM given by 1280 constant values |
| 1 | ALTITUDE (m) |
| 2 | TIME (seconds_since_1970-1-1) |
| 3 | LATITUDE (degrees) |
| 4 | LONGITUDE (degrees) |
| 5 | CRUISING_ALT (m) |
| 6 | PARTICLE_LINEAR_DEPOLARIZATION_RATIO (%) |
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
Enable Javascript and you'll see the dependencies of this dataset explained in this box while hovering over the table on the left.