Even worse is that, in some cases, an addition called serviceRatings as a
key occur with new data unexpectedly.
How to produce a robust Python/Panda script to coping with all these?
Regards,
David
u'historicRatings': [{u'overall': {u'keyQuestionRatings': [{u'name':
u'Safe', u'rating': u'Requires improvement'}, {u'name': u'Well-led',
u'rating': u'Requires improvement'}], u'rating': u'Requires improvement'},
u'reportDate': u'2019-10-04', u'reportLinkId':
u'63ff05ec-4d31-406e-83de-49a271cfdc43'}, {u'overall':
{u'keyQuestionRatings': [{u'name': u'Safe', u'rating': u'Good'}, {u'name':
u'Well-led', u'rating': u'Good'}, {u'name': u'Caring', u'rating': u'Good'},
{u'name': u'Responsive', u'rating': u'Good'}, {u'name': u'Effective',
u'rating': u'Requires improvement'}], u'rating': u'Good'}, u'reportDate':
u'2017-09-08', u'reportLinkId': u'4f20da40-89a4-4c45-a7f9-bfd52b48f286'},
{u'overall': {u'keyQuestionRatings': [{u'name': u'Safe', u'rating':
u'Requires improvement'}, {u'name': u'Well-led', u'rating': u'Requires
improvement'}, {u'name': u'Caring', u'rating': u'Requires improvement'},
{u'name': u'Responsive', u'rating': u'Requires improvement'}, {u'name':
u'Effective', u'rating': u'Good'}], u'rating': u'Requires improvement'},
u'reportDate': u'2016-06-11', u'reportLinkId':
u'0cc4226b-401e-4f0f-ba35-062cbadffa8f'}, {u'overall':
{u'keyQuestionRatings': [{u'name': u'Safe', u'rating': u'Good'}, {u'name':
u'Well-led', u'rating': u'Good'}, {u'name': u'Caring', u'rating': u'Good'},
{u'name': u'Responsive', u'rating': u'Requires improvement'}, {u'name':
u'Effective', u'rating': u'Good'}], u'rating': u'Good'}, u'reportDate':
u'2015-01-12', u'reportLinkId': u'a11c1e52-ddfd-4cd8-8b56-1b96ac287c96'}]
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