• sample.geo.points
• sample.records
• sample.timeseries
• sample.xy

sample.geo.points

sample.geo.points data queries return simulated GeoJSON data.

Inputs

Each series.* should provide:

• name: (human-friendly series name for visualizations)
• coordinates: (a longitude/latitude coordinate in POINT format)

Response Formats

• geojson (default) returns data in GeoJSON format for map-based visualizations.

Examples

type:sample.geo.points
series.cities:(
  lihue:(name:"Lihue" coordinates:"POINT(-159.342222 21.978611)")
  new_york:(name:"New York" coordinates:"POINT(-73.935242 40.73061)")
  seattle:(name:"Seattle" coordinates:"POINT(-122.350876 47.620499)")
  berlin:(name:"Berlin" coordinates:"POINT(13.393236 52.504043)")
  sydney:(name: "Sydney" coordinates:"POINT(151.21 -33.868)")
)
format:geojson

sample.records

sample.records data queries return simulated dictionary data. For instance, this can be used to mock data in sheets.

Inputs

The records:() key is a collection of arbitrary key/value dictionaries.

Response Formats

• dictionaries (default) returns a table-based format suitable for sheets and API results.

Examples:

• query
• response

• type:sample.records
  records:(
    new_york:(name:"New York" coordinates:[-73.935242, 40.73061])
    toronto:(name:"Toronto" coordinates:[-79.3839347, 43.6534817])
    vancouver:(name:"Vancouver" coordinates:[-123.116226, 49.246292])
    los_angeles:(name:"Los Angeles" coordinates:[-118.243683, 34.052235])
  )
  format:dictionaries

• {
    "data": {
      "new_york": {
        "name": "New York",
        "coordinates": [
          "-73.935242",
          "40.73061"
        ]
      },
      "toronto": {
        "name": "Toronto",
        "coordinates": [
          "-79.3839347",
          "43.6534817"
        ]
      },
      "vancouver": {
        "name": "Vancouver",
        "coordinates": [
          "-123.116226",
          "49.246292"
        ]
      },
      "los_angeles": {
        "name": "Los Angeles",
        "coordinates": [
          "-118.243683",
          "34.052235"
        ]
      }
    },
    "_": {
      "type": "sample.records",
      "format": "dictionaries"
    }
  }

sample.timeseries

sample.timeseries data queries return simulated time-series data.

Inputs

Each series.* should provide:

• label: (human-friendly series name for visualizations)
• y.min (the minimum bound for random y-axis data)
• y.max (the maximum bound for random y-axis data)
• trend (general trend: down, up, random)

Response Formats

• timeseries (default) returns data in time-series format for visualizations.

Examples

type:sample.timeseries
x.count:10
x.unit:months
series.created_tickets:(
	label:"# Tickets"
	y.min:1000
	y.max:100000
	trend:down
)
series.created_tasks:(
	label:"# Tasks"
	y.min:200
	y.max:30000
	trend:up
)
series.created_calls:(
	label:"# Calls"
	y.min:100
	y.max:10000
	trend:random
)
format:timeseries

sample.xy

sample.xy data queries return simulated X/Y data for scatterplots, etc.

Inputs

Each series.* should provide:

• label: (human-friendly series name for visualizations)
• samples (the number of samples to generate for this series)
• x.min (the minimum bound for random x-axis data)
• x.max (the maximum bound for random x-axis data)
• y.min (the minimum bound for random y-axis data)
• y.max (the maximum bound for random y-axis data)
• trend (general trend: down, up, random)

Response Formats

• scatterplot (default) returns data in scatterplot format for visualizations.

Examples

type:sample.xy
series.standard:(
	label:"Standard"
	samples:100
	trend:down
	x.min:120
	x.max:172800
	y.min:0
	y.max:100
)
series.enterprise:(
	label:"Enterprise"
	samples:25
	trend:down
	x.min:120
	x.max:86400
	y.min:0
	y.max:100
)
format:scatterplot