QA: Öffentliche Leben Berlin in de_life_insurance/2018

Table of Contents

PDF Report DL1056_2019_Oeffentliche_Leben_Berlin.pdf

Logs

Graph

Absolute values for DL1056, Öffentliche Leben Berlin

  xvar xval
0 ABWR 78.590.000
1 BS 1.440.057.675
2 BWKA 1.322.857.725
3 EKoGRNV 27.460.000
4 FLV 70.161.570
5 FreieRfB 35.330.000
6 GewAb 0
7 GR 0
8 HGBDR 1.250.523.676
9 JÜV 3.889.021
10 KAA 1.562.624
11 KAE 40.293.901
12 MRZ 0,0230
13 NV 20.000.000
14 RÜE 8.485.379
15 Steuer 3.289.021
16 SÜAF 13.050.000
17 ZVF 107.091.494
18 ZZR 58.500.000
19 ZZRA 8.700.000
  yvar yval
0 EK 47.460.000
1 VerfRfB 48.380.000
2 DR 1.192.023.676
3 KE 38.731.277
4 ZA 36.081.175
5 ZE 2.650.102
6 BABRate 0,0848
7 PDUR 11,2
8 scaled_ABWR 78.590.000
9 KA 1.401.447.725
10 Assets 1.518.647.675
11 ZÜVT 94.643.375
12 ZÜKA -3.461.276
13 PBWR 91.182.099
14 Garantie 1.159.341.577
15 169.772.099
16 ZÜVU 38.018.949
17 ZÜVN 131.753.150
18 DT 9.504.737
19 ökEK 109.430.886
20 SM 265.612.099
21 SMQuote 0,184
22 Puffer 189.637.887
23 NVZ 0,0293
24 GVZ 0,0329
25 DRS 1.262.185.246
26 GuO 4.424.076
27 SA 47.038.380
28 SP 23.532.429
29 600.000
30 11.135.481
31 BaseVar 1.463.932.232
32 ökEKQuote 0,0736

Edgar->Model Mapping

Feature Distribution

Change over Time