Show HN: Unplugg: An automated Forecasting API for timeseries data

Re:Show HN: Unplugg: An automated Forecasting API for times... by watty on Tuesday February 28, 2017 @02:50PM (#13757199)

This is an API for very small datasets (daily time series data). The goal should be accessibility and readability over saving a few bytes.

I'm not saying it's ideal, I just think the snark is unwarranted considering how common it is. I just checked InfluxDB and they follow a similar model (even more verbose). https://docs.influxdata.com/influxdb/v1.2/guides/querying_da...

Checked a few more and I believe they're the same - Microsoft IoT, Predix (GE), etc.

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Re:Show HN: Unplugg: An automated Forecasting API for times... by keredson on Wednesday March 01, 2017 @06:39PM (#13769815)

that example you give does not follow a similar model. it defines the columns once (not repeated w/ every observation):

                    "columns": [
                        "time",
                        "value"
                    ],

and then the observations as a list of lists:

                    "values": [
                        [
                            "2015-01-29T21:55:43.702900257Z",
                            2
                        ],
                        [
                            "2015-01-29T21:55:43.702900257Z",
                            0.55
                        ],

exactly as i suggested in the "even if they were wedded to JSON for some reason" section of my original explanation.

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