Datasets:
scm-resilience-data
/
logistics-disruption-archive

Dataset card Data Studio Files
xet
Community
1
supplier_diversity
float64
0.01
0.98
delivery_consistency
float64
0
0.96
inventory_buffer
float64
0.09
0.98
chain_performance
float64
0
0.6
sector
stringclasses
5 values
disruption_type
stringclasses
5 values
0.166164
0.189137
0.630975
0.014419
pharma
cyber
0.109329
0.302354
0.657761
0.085153
automotive
none
0.564806
0.286623
0.752381
0.164517
food
natural
0.502764
0.256733
0.287824
0.021578
textiles
natural
0.440378
0.624657
0.510958
0.162053
food
natural
0.215283
0.473153
0.827343
0.085374
textiles
none
0.554831
0.117366
0.714206
0.034423
pharma
pandemic
0.945397
0.337446
0.85727
0.25098
pharma
natural
0.64563
0.416492
0.535358
0.129501
textiles
geopolitical
0.595597
0.222586
0.358725
0.054598
food
none
0.095709
0.270158
0.429971
0.060632
food
cyber
0.717863
0.74215
0.744211
0.431845
textiles
geopolitical
0.657804
0.704694
0.770111
0.379686
automotive
geopolitical
0.483342
0.582564
0.524811
0.150316
food
pandemic
0.242309
0.533558
0.824465
0.103173
automotive
geopolitical
0.348523
0.45698
0.485921
0.036164
automotive
natural
0.034568
0.449054
0.280892
0
automotive
pandemic
0.3935
0.807821
0.898092
0.269066
pharma
none
0.326663
0.325266
0.384402
0.049771
food
cyber
0.020742
0.529866
0.618254
0
textiles
geopolitical
0.731381
0.615859
0.616027
0.262424
automotive
natural
0.465457
0.495083
0.31475
0.080561
pharma
geopolitical
0.444956
0.147419
0.847684
0.056724
textiles
cyber
0.507525
0.306056
0.766943
0.161532
food
natural
0.535598
0.55995
0.923995
0.275242
electronics
natural
0.043486
0.506584
0.556561
0.027053
electronics
none
0.539179
0.474566
0.827362
0.207273
textiles
geopolitical
0.619093
0.190159
0.904364
0.043899
textiles
cyber
0.378757
0.25287
0.32597
0.064167
pharma
geopolitical
0.196078
0.525134
0.768728
0.094984
food
geopolitical
0.66703
0.551828
0.827902
0.304994
electronics
none
0.266257
0.260525
0.425771
0.085799
automotive
pandemic
0.233838
0.591372
0.64699
0.071339
textiles
geopolitical
0.918528
0.331908
0.520395
0.101841
pharma
pandemic
0.713341
0.789828
0.741843
0.390483
pharma
pandemic
0.839496
0.711858
0.70054
0.406019
textiles
none
0.207291
0.180488
0.773361
0.047122
pharma
none
0.440031
0.427445
0.922514
0.154686
textiles
cyber
0.518251
0.553256
0.449863
0.098461
textiles
none
0.429947
0.287021
0.39774
0.042314
electronics
none
0.491556
0.664209
0.842841
0.352322
electronics
cyber
0.59485
0.533567
0.876915
0.343658
automotive
natural
0.423229
0.153119
0.587206
0.02947
electronics
cyber
0.37757
0.491208
0.562345
0.092174
pharma
cyber
0.595048
0.578751
0.857387
0.210736
automotive
none
0.689686
0.345961
0.708765
0.146294
pharma
natural
0.86319
0.384645
0.61505
0.168604
textiles
none
0.953689
0.393464
0.468687
0.155571
food
none
0.475936
0.472617
0.848276
0.19673
textiles
cyber
0.125513
0.516563
0.524514
0.002754
textiles
cyber
0.21311
0.512077
0.852586
0.107938
pharma
none
0.630387
0.436286
0.500079
0.11509
automotive
natural
0.705887
0.273875
0.565109
0.134813
electronics
geopolitical
0.821402
0.810768
0.331889
0.256169
pharma
cyber
0.668866
0.328766
0.401721
0.052921
electronics
geopolitical
0.488991
0.2307
0.191034
0.018462
food
geopolitical
0.702873
0.295548
0.754646
0.165503
automotive
pandemic
0.838961
0.62751
0.8273
0.44416
food
cyber
0.288492
0.425198
0.742297
0.07511
textiles
cyber
0.331152
0.414705
0.431322
0.111655
pharma
natural
0.078289
0.593403
0.69785
0.063542
pharma
pandemic
0.725771
0.132186
0.914705
0.055138
electronics
cyber
0.691079
0.435488
0.657186
0.175773
textiles
natural
0.81668
0.427614
0.523793
0.225074
pharma
natural
0.924484
0.236369
0.776428
0.185908
pharma
pandemic
0.485585
0.500599
0.923867
0.24135
textiles
geopolitical
0.772763
0.712789
0.454785
0.238752
textiles
none
0.528353
0.369363
0.55837
0.115208
automotive
pandemic
0.106853
0.529949
0.460901
0.032494
food
geopolitical
0.529701
0.657418
0.779537
0.303951
pharma
cyber
0.944193
0.206361
0.398522
0.074614
textiles
none
0.170581
0.725577
0.688647
0.081008
food
geopolitical
0.494529
0.392711
0.648246
0.136442
pharma
natural
0.641867
0.158299
0.355621
0.038296
textiles
geopolitical
0.634339
0.339727
0.687689
0.154864
electronics
pandemic
0.925769
0.102328
0.505213
0.028188
textiles
pandemic
0.811774
0.64045
0.954182
0.471782
automotive
natural
0.836222
0.51655
0.851706
0.411781
electronics
natural
0.559397
0.58635
0.836401
0.260595
food
none
0.160672
0.574599
0.456168
0.160011
food
geopolitical
0.211889
0.520159
0.71856
0.052532
pharma
geopolitical
0.389733
0.153278
0.241195
0.053915
textiles
pandemic
0.27462
0.481922
0.792649
0.11307
textiles
cyber
0.391458
0.184931
0.71365
0.110165
electronics
geopolitical
0.351336
0.428663
0.692765
0.116782
food
geopolitical
0.414128
0.132524
0.514929
0
automotive
none
0.625956
0.53157
0.69001
0.187884
electronics
geopolitical
0.500363
0.051486
0.317132
0.003482
textiles
natural
0.458705
0.511869
0.718134
0.183303
automotive
pandemic
0.866151
0.410029
0.456631
0.150138
automotive
geopolitical
0.602641
0.355413
0.585926
0.135131
pharma
cyber
0.348113
0.265724
0.524239
0.033923
textiles
natural
0.783887
0.371077
0.414523
0.128963
textiles
pandemic
0.572733
0.166961
0.716827
0.02678
textiles
none
0.18224
0.787389
0.739053
0.133611
food
geopolitical
0.616201
0.086668
0.701493
0.032139
food
natural
0.628672
0.129842
0.717156
0.067181
pharma
cyber
0.654531
0.342903
0.767939
0.135705
automotive
geopolitical
0.429673
0.498851
0.606398
0.172972
textiles
none
0.808198
0.412982
0.487221
0.102281
pharma
natural