Data Profile: sap_fakten¶
Generated: 2025-11-27 00:24:30.352518 Schema: raw_results.sap_fakten Total Rows: 104,364 Columns: 10 Completeness: 100.00%
Source Files¶
| File | Rows | Size |
|---|---|---|
| sap_fakten.csv | 104,364 | 14.4 MB |
| Total | 104,364 | 14.4 MB |
Column Summary¶
| # | Column | Type | PostgreSQL | Nullable | Nulls | Unique |
|---|---|---|---|---|---|---|
| 1 | OBJECTID | integer | INTEGER | No | 0.00% | 0 |
| 2 | recz | integer | INTEGER | No | 0.00% | 0 |
| 3 | anlage | integer | INTEGER | No | 0.00% | 0 |
| 4 | operand | string | VARCHAR(15) | No | 0.00% | 0 |
| 5 | ab | timestamp | TIMESTAMP | No | 0.00% | 0 |
| 6 | bis | timestamp | TIMESTAMP | No | 0.00% | 0 |
| 7 | ablfdnr | numeric | NUMERIC(12,2) | No | 0.00% | 0 |
| 8 | wert1 | numeric | NUMERIC(12,2) | No | 0.00% | 0 |
| 9 | kondigr | string | VARCHAR(15) | No | 0.00% | 0 |
| 10 | MD_prozessiert | timestamp | TIMESTAMP | No | 0.00% | 0 |
Detailed Column Profiles¶
1. OBJECTID¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
2. recz¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
3. anlage¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
4. operand¶
Type: string → VARCHAR(15)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 10 |
| Avg Length | 0.0 |
| Buffered Length | 15 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
5. ab¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
2024-10-01 00:00:00, 2009-10-01 00:00:00, 2009-07-08 00:00:00, 2020-01-01 00:00:00, 2009-07-09 00:00:00
6. bis¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
9999-12-31 00:00:00, 2021-03-31 00:00:00, 2024-09-30 00:00:00, 2019-12-31 00:00:00, 2019-03-31 00:00:00
7. ablfdnr¶
Type: numeric → NUMERIC(12,2)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
8. wert1¶
Type: numeric → NUMERIC(12,2)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
9. kondigr¶
Type: string → VARCHAR(15)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 10 |
| Avg Length | 0.0 |
| Buffered Length | 15 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
10. MD_prozessiert¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 104,364 |
| Non-null | 104,364 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 20 |
| Avg Length | 0.0 |
| Buffered Length | 30 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 104,364 - Parse Success: 104,364 / 104,364
Sample Values:
PostgreSQL DDL¶
See sap_fakten_schema.sql
Generated by process-csv-to-postgres v1.0.0