Validation Results
https://paulmalyon.github.io/gp-practices-and-surgeries-data-quality-overview/data/gp-outlier-overview.csv
Congratulations! Your CSV is valid! However, there are some issues that you may want to address to make is as easy as possible to reuse your data
Total Rows Processed = 21
Download Standardised CSV| 0Errors | 7Warnings | |
|---|---|---|
| Structure | 0 | 0 |
| Schema | 0 | 6 |
| Context | 0 | 0 |
7 Warnings
Dialect: Non standard dialect
Although your CSV validates, to make it as easy as possible for your data to be reused, we recommend using commas as delimiters, double quotes to enclose fields, and autodetecting line endings.
Schema problem: Inconsistent value in column 20
The data in column 20 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 21
The data in column 21 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 22
The data in column 22 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 23
The data in column 23 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 24
The data in column 24 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 25
The data in column 25 is inconsistent with others values in the same column.
Next Steps
Publish and transform your data using DataGraft, either as enhanced CSV or Linked Data.