Dependencies in Dataset #7466
Entries (observed variables)
No. | Name |
---|---|
01 | time_seconds (s) |
02 | NO2 slant column density (NO2_SCD) - molecules per square centimetre (molec/cm2) |
03 | NO2 slant column density fit error (NO2_SCD_error) - molecules per square centimetre (molec/cm2) |
04 | O4 slant column density (O4_SCD) - molecules per square centimetre (molec/cm2) |
05 | O4 slant column density fit error (O4_SCD_error) - molecules per square centimetre (molec/cm2) |
06 | geometric airmass factor (geo_AMF) - no unit |
07 | pixel number (pixelno) - no unit |
08 | latitude of p1 (lat_p1) - degrees |
09 | latitude of p2 (lat_p2) - degrees |
10 | latitude of p3 (lat_p3) - degrees |
11 | latitude of p4 (lat_p4) - degrees |
12 | longitude of p1 (lon_p1) - degrees |
13 | longitude of p2 (lon_p2) - degrees |
14 | longitude of p3 (lon_p3) - degrees |
15 | longitude of p4 (lon_p4) - degrees |
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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