Data quality report
TM Travel Ltd_Bolsover_Hasland_20200901_1
- Please find your data quality observations below.
- What are the different type of observations?
- Download data quality report.csv
Contents
Critical observations (9)
These observations are considered critical in terms of data quality. An operator should aim to have zero critical observations in their data.
| Number of observations | Observation category |
|---|---|
| 1 | Incorrect NOC |
| 8 | Missing block number |
Advisory observations (114)
These observations suggest there may be an error in the data. However, for some types of services these may be intended by the operator. Advisory observations should be investigated and addressed. If the observation is a result of intended behaviour, an operator can suppress the observation.
| Number of observations | Observation category |
|---|---|
| 20 | Missing stops |
| Number of observations | Observation category |
|---|---|
| 7 | Fast running time between stops |
| 24 | No timing point for more than 15 minutes |
| 1 | Slow running time between stops |
| Number of observations | Observation category |
|---|---|
| 62 | Journey overlap |