Data Profile: sap_anlagehist¶
Generated: 2025-11-27 00:23:53.313999 Schema: raw_results.sap_anlagehist Total Rows: 346,150 Columns: 10 Completeness: 100.00%
Source Files¶
| File | Rows | Size |
|---|---|---|
| sap_anlagehist.csv | 346,150 | 42.8 MB |
| Total | 346,150 | 42.8 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 | bis | timestamp | TIMESTAMP | No | 0.00% | 0 |
| 5 | ab | timestamp | TIMESTAMP | No | 0.00% | 0 |
| 6 | aklasse | integer | INTEGER | No | 0.00% | 0 |
| 7 | tariftyp | string | VARCHAR(12) | No | 0.00% | 0 |
| 8 | branche | string | VARCHAR(7) | No | 0.00% | 0 |
| 9 | MD_prozessiert | timestamp | TIMESTAMP | No | 0.00% | 0 |
| 10 | ableseeinheit | string | VARCHAR(12) | No | 0.00% | 0 |
Detailed Column Profiles¶
1. OBJECTID¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
2. recz¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
3. anlage¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
4. bis¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
9999-12-31 00:00:00, 2024-09-30 00:00:00, 2021-03-31 00:00:00, 2019-03-31 00:00:00, 2019-12-31 00:00:00
5. ab¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
2024-10-01 00:00:00, 2021-04-01 00:00:00, 2019-04-01 00:00:00, 2020-01-01 00:00:00, 2016-10-01 00:00:00
6. aklasse¶
Type: integer → INTEGER
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
7. tariftyp¶
Type: string → VARCHAR(12)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 8 |
| Avg Length | 0.0 |
| Buffered Length | 12 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
8. branche¶
Type: string → VARCHAR(7)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 5 |
| Avg Length | 0.0 |
| Buffered Length | 7 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
9. MD_prozessiert¶
Type: timestamp → TIMESTAMP
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (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: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
10. ableseeinheit¶
Type: string → VARCHAR(12)
Nullable: No
| Metric | Value |
|---|---|
| Total Rows | 346,150 |
| Non-null | 346,150 (100.0%) |
| Unique | 0 (0.0%) |
| Min Length | 0 |
| Max Length | 8 |
| Avg Length | 0.0 |
| Buffered Length | 12 (50% buffer) |
Type Inference: - Confidence: 100% - Rows Analyzed: 346,150 - Parse Success: 346,150 / 346,150
Sample Values:
PostgreSQL DDL¶
See sap_anlagehist_schema.sql
Generated by process-csv-to-postgres v1.0.0