<jupyter_start><jupyter_text>It's not great, beacause we don't know where the observed data comes from. The nearest site, obviously - but where is that?<jupyter_code>url = 'https://uvdata.arpansa.gov.au/api/uvlevel/?longitude=138.62&latitude=-34.92&date=2018-10-05'
data = json.loads(requests.get(url).text)
pprint(data)<jupyter_output>{'$id': '1',
 'CurrentDateTime': '05-10-2018 19:59',
 'CurrentUVIndex': '0.0',
 'GraphData': [{'$id': '2',
                'Date': '2018-10-05 06:00',
                'Forecast': 0.081164,
                'Measured': 0.02924806},
               {'$id': '3',
                'Date': '2018-10-05 06:01',
                'Forecast': 0.082088,
                'Measured': 0.03086652},
               {'$id': '4',
                'Date': '2018-10-05 06:02',
                'Forecast': 0.083116,
                'Measured': 0.03271641},
               {'$id': '5',
                'Date': '2018-10-05 06:03',
                'Forecast': 0.084248,
                'Measured': 0.03470523},
               {'$id': '6',
                'Date': '2018-10-05 06:04',
                'Forecast': 0.085488,
                'Measured': 0.03680253},
               {'$id': '7',
                'Date': '2018-10-05 06:05',
                'Forecast': 0.086832,
                'Measured': 0.03914201},
               [...]
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