db.json

{
  "paired": [
    {
      "x": 2004,
      "y": 318
    },
    {
      "x": 2005,
      "y": 330
    },
    {
      "x": 2006,
      "y": 355
    },
    {
      "x": 2007,
      "y": 366
    },
    {
      "x": 2008,
      "y": 337
    },
    {
      "x": 2009,
      "y": 352
    },
    {
      "x": 2010,
      "y": 377
    },
    {
      "x": 2011,
      "y": 383
    },
    {
      "x": 2012,
      "y": 344
    },
    {
      "x": 2013,
      "y": 366
    },
    {
      "x": 2014,
      "y": 389
    },
    {
      "x": 2015,
      "y": 334
    }
  ],
  "paired3": {
    "fruit": [{
      "x": "Apple",
      "y": 54
    }, {
      "x": "Orange",
      "y": 66
    }]
  },
  "datetime": [
    [1486684800000, 34], 
    [1486771200000, 43], 
    [1486857600000, 31], 
    [1486944000000, 43], 
    [1487030400000, 33], 
    [1487116800000, 52]
  ],
  "stacked": {
    "labels":["1-2023","2-2023","3-2023","4-2023","5-2023","6-2023","7-2023","8-2023","9-2023","10-2023","11-2023","12-2023"],
    "series":[{
        "name":"Actual",
        "data":[66914,66914,65074,67214,67315,67815,67815,69402,70976,70976,70976,71136]
      },{
        "name":"Forecast",
        "data":[9000,13500,13500,13500,18300,18300,18300,18300,18300,18300,18300,18300]
      }
    ]
  },
  "mixed": {
    "series": [{
      "name": "TEAM A",
      "type": "column",
      "data": [23, 11, 22, 27, 13, 22, 37, 21, 44, 22, 30]
    }, {
      "name": "TEAM B",
      "type": "area",
      "data": [44, 55, 41, 67, 22, 43, 21, 41, 56, 27, 43]
    }, {
      "name": "TEAM C",
      "type": "line",
      "data": [30, 25, 36, 30, 45, 35, 64, 52, 59, 36, 39]
    }],
    "labels": ["01/01/2003", "02/01/2003", "03/01/2003", "04/01/2003", "05/01/2003", "06/01/2003", "07/01/2003",
    "08/01/2003", "09/01/2003", "10/01/2003", "11/01/2003"]
  } 
  
}