Managing data filtering, and grouping, simply.

A full interactive example can be found here

TODO: convert Makefile to gulpfile

Quick Example

var DM = dataManager() // create new data manaager
         .schema({
              quantity: { // this is the name of the field in the dataset.
                  type: 'integer' // convert the string to an integer (so summing works properly)
                , filter: null // no filtering.
              }
            , 'date' : { // filtering on the date field
                  type: 'date' // parse into a date
                , filter: 'reporting_dt' // filter is by date
                , group: {
                      day: { // this is the day grouping config. The name is arbitrary based on how you group your data.
                          reduce : 'sum' // reduce by summing
                        // If not specifying this field, then use the dimension filter field
                        //, map: 'reporting_dt' // group by date. Dates are by day anyhow
                        , sum: 'quantity' // sum the quantity field.
                      }
                    , week: {
                          reduce : 'sum' // reduce by summing
                        , map: 'week' // group by week field. This a string field in the data.
                        , sum: 'item_quantity' // This could also be a function that returns a value to be summed.
                      }
                  }
              }
            , 'object-class': { // this is an arbitrary name used to access this filter.
                  type: 'string'
                , filter: 'class_id' // this is the name of the field to filter by in the dataset
                , group: {
                      objects: {
                          reduce:'sum' // Want to sum in reduce.
                        , sum: 'quantity' // field to sum by.
                      }
                  }
              }
         })
         .setData(myData) // assumed myData is an array of objects containg the data.
         .filter('object-class','Fruit') // filter the object class by "Fruit"
         .filter('date',[new Date('2022-12-15'),new Date('2022-12-24')]) // filter also by date range

// Gets the total invoiced grouped by day between the 15th and 24th (inclusive) for only product class 1A
var dailyTotals = DM.group('date','day')
                    .all() // get all data for the group

API Summary

• dataManager

  • schema(schema definition:Object) : dataManager

    Set the schema definition for this data manager instance.

  • setData(data:Object) : dataManager

    Set the data to be managed.

  • filter(field:String, filter:Array|String ) : dataManager

    Filter a field by some data. Single and multiple values, and ranges are supported. Single value : "abc" Multiple values : ["abc","def"] Value range : [[100,200]]

  • group(field:String, group:String ) : group

    Get the fields grouped set.

  • getDimension(field:String) : dimension

    Get the dimension configuration and access to the crossfilter dimension.

  • all() : groupSummary

    Get the reduced summary of the entire data set.

** Events supported by dataManager: Supported events: 'dataChanged','schemaChanged','filterChanged','dimensionCreated','groupCreated'

Example of using events:

    DM = new dataManager()
    DM.on('schemaChanged',function(oldSchema,newSchema){console.log('The schema changed %s',JSON.stringify(newSchema))})
    DM.on('dataChanged',function(field){console.log('Data changed')})
    DM.on('dimensionCreated',function(field){console.log('New dimension created for "%s"',field)})
    DM.schema({'a':{}}) // we're expecting a single field. No filters or grouping.
    // output to console: The schema changed {"a":{}}
    DM.setData([{a:'one'},{a:'two'},{a:'three'},{a:'ten'},{a:'four'},{a:'three'},{a:'six'},{a:'two'}])
    // output to console: Data changed
    DM.filter('a','two') // filter 'a' dimension by the value 'two'
    // output to console: New dimension created for "a"
    var filtered = DM.getDimension('a').top(Infinity) // get the 'a' dimension, with no limit to count.
    // data returned: ["{"a":"two"}", "{"a":"two"}"]

• group

  • all()

    Get all data for the grouped set

  • order(value: Function)

    change the sort order function of the grouping

  • orderNatural()

    set the ordering using the natural return of the reduced value

  • reduce(add: Function, remove: Function, initial: Object)

    set the reduce functions (this is done automatically from the schema definition)

  • reduceCount() : void

    set the reduce function to count the number of rows in group.

  • reduceSum(value: String|Function)

    set the reduce function to sum a row, or call a function to return a value to add to the total.

  • size() : int

    Get the number of group keys.

  • top(num: int) : Array

    Get the top NUM records from the group based on the sort order.

• dimension

  • column: String

    Name of the column in data set that this filter represents.

  • dimension: Object

    Direct access to the crossfilter dimension object.

  • filter(data:Array|String) : dimension

    Filter this dimension by the provided data. Single value : "abc" Multiple values : ["abc","def"] Value range : [[100,200]]

  • group: function (group:String) : group

    get grouping for this dimension by this object.