For Example If we have data for books, authors and date information. Can we build a crossfilter for how many books are present for author per month?
In pseudo sql terms, what you are trying to do is:
SELECT COUNT(book)
GROUP BY author, month
The way I approach this type of problem is to 'group' the fields together into a single dimension. So in your case I would concatenate the month and author information together, into a dimension.
Let this be our test data:
var cf = crossfilter([
{ date:"1 jan 2014", author: "Mr X", book: "Book 1" },
{ date:"2 jan 2014", author: "Mr X", book: "Book 2" },
{ date:"3 feb 2014", author: "Mr X", book: "Book 3" },
{ date:"1 mar 2014", author: "Mr X", book: "Book 4" },
{ date:"2 apr 2014", author: "Mr X", book: "Book 5" },
{ date:"3 apr 2014", author: "Mr X", book: "Book 6"},
{ date:"1 jan 2014", author: "Ms Y", book: "Book 7" },
{ date:"2 jan 2014", author: "Ms Y", book: "Book 8" },
{ date:"3 jan 2014", author: "Ms Y", book: "Book 9" },
{ date:"1 mar 2014", author: "Ms Y", book: "Book 10" },
{ date:"2 mar 2014", author: "Ms Y", book: "Book 11" },
{ date:"3 mar 2014", author: "Ms Y", book: "Book 12" },
{ date:"4 apr 2014", author: "Ms Y", book: "Book 13" }
]);
The dimension is defined as follows:
var dimensionMonthAuthor = cf.dimension(function (d) {
var thisDate = new Date(d.date);
return 'month='+thisDate.getMonth()+';author='+d.author;
});
And now we can just simply do a reduce count to calculate how many books there are per author, per month (i.e. per dimension unit):
var monthAuthorCount = dimensionMonthAuthor.group().reduceCount(function (d) { return d.book; }).all();
And the results are as follows:
{"key":"month=0;author=Mr X","value":2}
{"key":"month=0;author=Ms Y","value":3}
{"key":"month=1;author=Mr X","value":1}
{"key":"month=2;author=Mr X","value":1}
{"key":"month=2;author=Ms Y","value":3}
{"key":"month=3;author=Mr X","value":2}
{"key":"month=3;author=Ms Y","value":1}
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