Validation Results
https://paulmalyon.github.io/gp-practices-and-surgeries-data-quality-overview/data/gp-column-stats.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 4
The data in column 4 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 8
The data in column 8 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 9
The data in column 9 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 12
The data in column 12 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 13
The data in column 13 is inconsistent with others values in the same column.
Schema problem: Inconsistent value in column 18
The data in column 18 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.