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Studienabschluss
stringclasses
3 values
Anzahl_Abgeordnete
int64
0
994
Abbrecherquote
float64
0
100
Studienzeit
int64
2
998
Geldbeteiligung
float64
500
17.2k
StudiengebΓΌhren
int64
0
998
Anzahl_Studenten
int64
0
999
Bewerbungsrate
float64
0.02
99.9
Abschlussrate
float64
0.01
99.8
Bachelor
716
60.85
496
7,528
159
108
55.87
24.26
Master
24
75.99
581
6,559.77
423
401
44.34
1.65
Doktorat
268
67.04
81
7,846.61
19
274
23.2
66.82
Bachelor
324
52.97
514
8,199.12
863
501
17.62
61.69
Bachelor
897
59.42
852
7,049.49
66
460
2.4
18.24
Doktorat
660
53.19
85
12,935.23
497
258
6.98
65.95
Doktorat
9
36
957
2,703.94
544
132
46.53
77.4
Doktorat
10
57.93
249
10,203.59
947
741
89.23
94.3
Master
441
53.96
993
9,519.13
937
297
60.47
50.3
Bachelor
531
32.73
986
5,620.92
357
344
54.35
18.69
Doktorat
449
62.87
304
13,633.03
470
521
14.5
52.71
Master
469
69.2
321
8,384.17
736
603
78.03
28.33
Doktorat
52
72.2
433
1,054.96
876
323
98.44
90.13
Master
896
63.27
311
8,025.43
600
659
49.87
23.25
Doktorat
800
36.37
332
7,783.12
992
552
61.56
37.67
Master
421
74.4
680
7,905.22
591
63
86.17
7.49
Master
594
52.56
785
7,126.9
205
545
44.86
12.23
Bachelor
308
55.84
104
13,155.99
266
852
10.3
14.33
Master
127
50.84
15
9,438.53
619
10
12.95
80.57
Doktorat
480
63.41
516
2,197.61
205
598
90.62
52.11
Master
32
29.94
560
11,173.85
609
649
55.28
10.15
Bachelor
94
36.4
453
11,063.61
231
469
62.16
47.83
Doktorat
291
39.98
859
12,253.06
460
548
28.18
55.35
Master
802
69.45
336
7,414.4
624
755
11.51
23.29
Bachelor
170
67.53
306
3,636.16
596
594
22.91
94.43
Bachelor
748
47.25
236
12,499.17
619
274
59.69
71.97
Bachelor
126
49.76
905
8,187.07
938
13
33.47
64.88
Master
582
50.06
124
12,826.88
208
961
11.78
15.24
Bachelor
514
57.37
69
9,634.28
902
819
45.77
12.64
Master
41
71.45
346
6,532.76
739
451
88.74
73.41
Bachelor
28
67.91
673
4,699.18
614
954
47.01
17.92
Doktorat
113
52.73
367
3,098.08
364
878
45.02
34.1
Doktorat
217
42.94
680
4,492.33
452
999
45.8
70.83
Bachelor
761
39.27
107
11,002.47
638
302
8.97
10.25
Bachelor
860
64.03
698
12,468.68
459
61
67.74
8.97
Bachelor
337
74.75
480
8,394.42
687
177
4.8
84.9
Doktorat
882
57.72
67
4,785.66
664
195
12.85
48.45
Master
759
79.64
265
4,465.12
883
924
70.87
3.31
Master
986
32.41
458
10,531.25
620
510
32.22
80.43
Bachelor
607
40.98
276
3,842.44
599
644
10.71
81.93
Master
337
63.06
195
5,034.51
228
436
17.6
35.56
Doktorat
303
53.24
451
5,436.47
920
617
12.31
28.95
Bachelor
639
40.47
458
10,464.31
527
325
33.83
71.18
Master
658
77.25
283
12,726.07
551
254
15.71
45.9
Doktorat
716
24.55
864
9,339.66
888
453
50.28
44.05
Master
102
21.74
698
7,491.57
490
610
87.82
91.21
Master
613
42.78
224
8,402.64
708
630
88.7
24.67
Master
287
54.52
855
5,833.99
0
57
56.74
60.72
Master
909
49.37
201
2,112.85
347
881
39.17
59.76
Bachelor
677
84.64
566
7,461.96
55
527
78.89
3.36
Doktorat
629
45.59
36
6,962.7
617
472
57.09
27.02
Doktorat
896
56.95
358
7,844.34
455
887
25.35
23.75
Bachelor
595
35.46
747
8,159.87
456
216
48.95
67.4
Doktorat
894
55.63
818
8,733.39
55
635
82.56
94.05
Bachelor
964
32.72
229
7,353.93
849
231
4.63
46.88
Bachelor
368
45.09
559
4,161.09
748
847
61.23
80.86
Master
253
58.69
587
10,895.71
10
325
1.92
89.81
Doktorat
351
69.19
539
7,945.43
956
750
47.1
42.19
Bachelor
574
82.01
914
11,366.28
616
193
64.49
50.68
Doktorat
739
62.08
576
7,703.4
255
471
40.34
70.25
Master
544
54.83
2
9,093.99
598
630
15.49
28.65
Master
377
23.49
661
3,480.38
80
14
37.66
94.19
Bachelor
693
62.69
721
5,328.77
360
193
32.34
65.37
Bachelor
373
63.47
719
2,572.92
401
42
14.05
11.09
Doktorat
648
77.12
468
4,371.98
843
465
79.42
47.35
Master
479
53.3
276
2,241.92
948
663
57.12
11.94
Bachelor
941
51.96
176
10,512.61
619
812
19.89
98.48
Doktorat
11
69.76
811
11,459.67
340
487
14.56
60.64
Bachelor
601
75.01
801
11,866.67
838
637
90.02
23.5
Master
360
46.14
703
12,468.44
720
159
43.35
54.26
Doktorat
374
44.16
113
3,312
549
950
80.85
52.76
Master
9
37.85
393
12,800.65
796
505
44.93
54.37
Bachelor
509
45.56
648
9,945.5
349
960
81.22
78.74
Master
766
45.83
115
10,444.52
669
471
84.48
78.57
Bachelor
684
54.56
202
8,011.59
606
284
71.76
9.22
Bachelor
921
56.33
48
500
661
894
45.97
90.06
Bachelor
459
61.77
987
7,646.39
257
850
96
21.91
Master
268
49.74
334
1,439.14
789
204
6.94
68.46
Bachelor
525
71.23
209
7,419.14
809
303
56.26
23.33
Doktorat
676
73.28
784
2,923.38
671
281
11.32
49.19
Master
856
50.92
911
4,254.73
898
785
47.91
21.47
Bachelor
399
48
890
9,202.48
836
980
35.47
95.27
Master
751
33.15
570
12,236.32
501
719
50.7
98.46
Bachelor
727
5.56
608
4,522.74
774
72
85.31
40.12
Bachelor
651
72.35
613
3,476.1
887
326
96.15
58.28
Doktorat
515
80.65
484
3,986.28
964
391
20.51
67.31
Master
764
32.22
634
4,555.73
303
182
84.84
92.18
Doktorat
581
60.72
750
6,208.27
223
685
64.69
91.01
Doktorat
705
84.49
642
7,211.62
480
132
70.11
39.87
Bachelor
785
73.52
800
5,382.29
613
130
1.73
11.57
Master
18
26.19
503
13,370.58
408
439
56.15
85.23
Doktorat
188
37.92
998
4,029.27
150
805
97.76
8.35
Bachelor
366
22.61
556
6,522.91
479
564
67.04
76.9
Master
664
45.6
75
7,776.37
218
534
24.85
21.16
Bachelor
529
85.65
471
500
617
783
15.37
51.03
Bachelor
362
49.7
453
9,810.03
31
160
13.99
22.42
Bachelor
537
65.93
743
13,980.01
319
172
1.63
48.13
Doktorat
845
32.71
196
7,338.93
974
596
93.92
78.67
Bachelor
477
57.89
239
5,089.58
684
481
6.28
71.83
Doktorat
391
54.18
484
8,083.65
494
782
11.66
63.04
End of preview. Expand in Data Studio

Abbrecherquoten (Studium/Ausbildung)

High-quality synthetic dataset for machine learning and data analysis.

πŸ“Š Dataset Overview

  • Rows: 500,000 (sample: 1,000)
  • Columns: 9
  • Quality Score: 96%
  • Format: CSV
  • Type: 100% Synthetic

🎯 Features

  • Studienabschluss
  • Anzahl_Abgeordnete
  • Abbrecherquote
  • Studienzeit
  • Geldbeteiligung
  • StudiengebΓΌhren
  • Anzahl_Studenten
  • Bewerbungsrate
  • Abschlussrate

πŸ’‘ Use Cases

  • πŸ€– Machine learning model training
  • πŸ“Š Data analysis and visualization
  • πŸ”¬ Algorithm development
  • πŸ“š Education and research
  • πŸ§ͺ Testing and prototyping

βœ… Quality & Privacy

  • LLM-validated quality score: 96%
  • 100% synthetic - no real personal data
  • GDPR compliant by design
  • Privacy-safe for all applications

πŸš€ Quick Start

from datasets import load_dataset

dataset = load_dataset("MarvHins/abbrecherquoten-(studium/ausbildung)")
df = dataset['train'].to_pandas()

print(df.head())
print(df.info())

πŸ“ License

CC BY 4.0 - Free to use with attribution

πŸ’° Get Full Dataset

This is a sample preview (1,000 rows).

πŸ”— Purchase Full Dataset (500,000 rows) β†’

Price includes:

  • Complete dataset (500,000 rows)
  • All 9 features
  • Commercial license
  • Instant download

πŸ‘€ Author

Marvin Hinske | 2025


This is a sample preview (1,000 rows). Full dataset available for purchase.

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