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Data quality report

Nu-Venture_Maidstone_Chatham_20171120_1

• Please find your data quality observations below.
• What are the different type of observations?
• Download data quality report.csv

72

Bus lines

96%

AMBER
Data quality

34

Critical observations

66

Advisory observations

Contents

Critical observations (34)

These observations are considered critical in terms of data quality. An operator should aim to have zero critical observations in their data.

Timing (8)

Number of observations	Observation category
8	Fast timing between timing points

Data set (26)

Number of observations	Observation category
26	Missing block number

Advisory observations (66)

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.

Stop (22)

Number of observations	Observation category
22	Missing stops

Timing (18)

Number of observations	Observation category
15	Fast running time between stops
3	No timing point for more than 15 minutes

Journey (26)

Number of observations	Observation category
12	Expired lines
14	Journey overlap