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• In this example we will create a dataProvider object that can be used with amCharts. We will assume that we have a collection named "test" and a view named "view" with a variable named "var" that has the values 1, 2, and 3. In this example we will run a tabulation that will count the frequencies of each of these values that could be used to create a chart.

• Running the tabulation would normally look something like this:

  Code Block
  title Tabulation
  {host}/rds/test/view/tabulate?dims=var

  Code Block
  title Tabulation Output collapse true
  { "records": [ [ 1, 182 ], [ 2, 354 ], [ 3, 126 ] ], "info": { "colCount": 2, "format": "MTNA", "includeMetadata": false, "limit": 20, "offset": 0, "moreRows": false } }

• We can add the format parameter to specify we want this to be output in a way that amCharts expects to see it. 

  Code Block
  title Tabulation amCharts
  {host}/rds/test/view/tabulate?dims=var&format=amcharts

  Code Block
  title Tabulation amCharts Output collapse true
  { "dataProvider": [ { "var": 1, "count": 182 }, { "var": 2, "count": 354 }, { "var": 3, "count": 126 } ] }

• In addition to formatting the values in a dataProvider, we can also substitute the numeric values for the categories they represent if the variable has a classification associated with it. In this example we will assume that var has the following classification:

  1	METROPOLITAN AREA
  2	TOWN OR CITY
  3	OPEN COUNTRY

  With this in mind, all we have to do is ask for the metadata to be returned along with our previous tabulation and the output will have the categories instead of the numeric values.

  Code Block
  title Tabulation amCharts With Metadata
  {host}/rds/test/view/tabulate?dims=var&format=amcharts&metadata

  Code Block
  title Tabulation amCharts Output With Categories collapse true
  { "dataProvider": [ { "var": "METROPOLITAN AREA", "count": 182 }, { "var": "TOWN OR CITY", "count": 354 }, { "var": "OPEN COUNTRY", "count": 126 } ] }