I receive data from the open-meteo API (for example: https://api.open-meteo.com/v1/forecast?latitude=52.377956&longitude=4.897070&hourly=temperature_2m,wind_speed_10m&past_days=10) in the following format:
{
"latitude": 52.52,
"longitude": 13.419,
"elevation": 44.812,
"generationtime_ms": 2.2119,
"utc_offset_seconds": 0,
"timezone": "Europe/Berlin",
"timezone_abbreviation": "CEST",
"hourly": {
"time": ["2022-07-01T00:00", "2022-07-01T01:00", "2022-07-01T02:00", ...],
"temperature_2m": [13, 12.7, 12.7, 12.5, 12.5, 12.8, 13, 12.9, 13.3, ...],
"wind_speed_10m": [14.1, 15.1, 16.4, 15.4, 17.0, 17.1, 18.6, 20.2, 26.5, ...]
},
"hourly_units": {
"time": "iso8601",
"temperature_2m": "°C",
"wind_speed_10m" : "km/h"
}
}
Here the 'hourly' level contains three arrays with the same length, and these should be interpreted as three different columns in Tableau. However, when I import this file I get all combinations of data (so ~5million rows) because it expects the data points to be organised like:
[
{
"time" : "2022-07-01T00:00",
"temperature_2m" : 13,
"wind_speed_10m" : 14.1
},
{
"time" : "2022-07-01T01:00",
"temperature_2m" : 12.7,
"wind_speed_10m" : 15.1
},
...
]
How can I get Tableau to import the file correctly (I am not looking for solutions where we convert the structure in Python for example because this has to work for a low-code target audience).