Dataset fingerprint completeness
AOL coheron fingerprint
| Metric | Value |
| R_Z | 0.65358958842866 |
| sigma_R | 0.20552172288556 |
| bandwidth_R | 0.11500694002724 |
| stability | 0.61038295953087 |
| iterations_mean | 3676 |
| escape_rate | 0.010258279279926 |
| asymmetry | 0.48219140548361 |
| subcluster_count | 3 |
AOL metric trendlines across Z (dataset 33)
| Metric | Trend across Z |
| R_Z | ▅▄▄▅▂▃▁▇▃▄▁▃▅▇▂▂▆▂▁▃▁▅▄▁▆▄▇▅▇▄▆▆▅▃▆▂▃▅▁▁▆▁▆▆▄▁▆▅▁▆▄▃▆▁▂▅▃▂▅▆▃▇▃▂▃▆▃█▇▆▄▆▇▅▄▅▇▂▃▃▅▂▂▃▇▁▆▅▁▅▅▆▄▅▇▁▆▃▁▃▇▄▆▇▅▄▂▁▅▄▄▂▃▄▃▂▃▁▂ |
| stability | ▅▇▁▇▄▇▄▆▃▁▇▇▂▂▇▄▅▁▅▄▂▂▅▄▆▅▇▅▁▆▇▅▂▆▁▁▄▄▆▅▆▅▂▆▃▆▅▇█▂▃▃▁▃▄▅▅▅▂▃▃▅▁▆▂▆▆▅▆▅▆▄▁▆▆▃▁▁▂▆▁▃▅▃▃▇▄▂▄▇▇▃▇▄▂▆▂▇▂▃▆▇▃▄▁▃▆▄▄▁▆▄▁▆▆▂▁▇▇ |
| escape_rate | ▁▁▇▂▂▄▅▃▇▅▆▃▆▄▃▄▇▇▂▇▂▇▇▄▆▁▁▄▄▇▅▅▂▅▄▂▆▂▅▃▁▁▃▁▄▃▅▄▁▆▁▄▁▄▆▃▇▃▂▄▄█▂▁▂▇▂▅▂▃▇▃▃▄▁▆▁▂▄▁▅▂▃▇▁▃▂▂▅▃▇▂▅▃▂▃▂▆▃▃▁▁▆▃▅▁▁▆▁▅▁▆▃▃▄▆▅▇▃ |
| iterations_mean | ▆▅▆▄▁▄▄▇▆▅▅▃▇▄▁▅▄▇▄▂▅▄▅▂▆▁▅▂▂▄▇▅▆▅▁▅▃▇▆▅▄▆▅▁▁▃▇▅▄▃▃▆▂▅▆▃▇▁▁▅▇▄▂▅▄▃▇▅▁▁▆▅▅█▃▁▅▄▆▂▆▆▂▇▃▅▃▁▇▅▆▅▅▇▅▂▆▆▂▆▅▆▇▁▁▂▂▂▁▁▄▁▅▇▅▂▅▆▂ |
Cross-dataset comparison for this element
Neighbor comparison (period & group)
| Z | Symbol | Period | Group | R_Z | Delta R_Z | stability | Delta stability |
| 1 |
H |
1 |
1 |
0.65358958842866 |
|
0.61038295953087 |
|
| 2 |
He
|
1 |
18 |
0.57051728459565 |
-0.083072 |
0.91426180625067 |
+0.303879 |
| 3 |
Li
|
2 |
1 |
0.51079356601033 |
-0.142796 |
0.11761373286956 |
-0.492769 |
| 11 |
Na
|
3 |
1 |
0.086980839766087 |
-0.566609 |
0.9819726808844 |
+0.371590 |
| 19 |
K
|
4 |
1 |
0.14201617014688 |
-0.511573 |
0.70153576773663 |
+0.091153 |
| 37 |
Rb
|
5 |
1 |
0.35932422539188 |
-0.294265 |
0.44675381968112 |
-0.163629 |
| 55 |
Cs
|
6 |
1 |
0.24529589817175 |
-0.408294 |
0.50345430872564 |
-0.106929 |
| 87 |
Fr
|
7 |
1 |
0.76858782384945 |
+0.114998 |
0.55710433356329 |
-0.053279 |
| 119 |
Aln
|
8 |
1 |
0.19024493135058 |
-0.463345 |
0.91700522178645 |
+0.306622 |
Local context
| Neighborhood | Count |
| Same period (excluding self) | 1 |
| Same group (excluding self) | 7 |
Exportable JSON
{
"Z": 1,
"symbol": "H",
"name": "Hydrogen",
"period": 1,
"group": 1,
"block": "s",
"category": "Nonmetal",
"dataset_id": 33,
"fingerprint": {
"R_Z": 0.65358958842866,
"sigma_R": 0.20552172288556,
"bandwidth_R": 0.11500694002724,
"stability": 0.61038295953087,
"iterations_mean": 3676,
"escape_rate": 0.010258279279926,
"asymmetry": 0.48219140548361,
"subcluster_count": 3
}
}