QA: Öffentliche Leben Berlin in de_disability_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 KA 1.401.447.725
9 Assets 1.518.647.675
10 ZÜVT 94.643.375
11 ZÜKA -3.461.276
12 PBWR 91.182.099
13 Garantie 1.159.341.577
14 169.772.099
15 ZÜVU 38.018.949
16 ZÜVN 131.753.150
17 DT 9.504.737
18 Puffer 189.637.887
19 ökEK 75.974.211
20 SM 265.612.099
21 SMQuote 0,184
22 ökEKQuote 0,0513
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 KAZins 0,00565
32 VTZins 0,00712
33 VTZinsnet 0,00712
34 BaseVar 1.480.660.569

Edgar->Model Mapping

Feature Distribution

Change over Time