Returning max value in a DC.js / Crossfilter group -
i wondering how return max value dc.js group.
for example:
var datedim = data.dimension(function(d) {return d.page_id;}); var hits = datedim.group().reducesum(function(d) {return d.commodity_id;});
this return bar chart plotting page_ids on x axis, against commodity_ids on y axis.
however, return amount of commodity_ids on particular page on y axis.
would accomplished similar max , min dimension functionality?
var mindate = datedim.bottom(1)[0].page_id; var maxdate = datedim.top(1)[0].page_id;
apologies if description unclear.
thanks
i'll attempt @ least point in right direction.
the following lines of code return sum of commodity_id
's grouped page_id
:
var datedim = data.dimension(function(d) {return d.page_id;}); var hits = datedim.group().reducesum(function(d){return d.commodity_id;});
if page had 3 commodities following commodity_id
's: [ 1, 2, 5 ] reducesum
return value 8 page (1+2+5=8); add each subsequent commodity_id
until reached end of page.
assuming each entry in dataset contains commodity_id
must counted, can away grouping , using reducecount
since care total number of commodities per page:
var hits = datedim.group().reducecount();
this count how many times each page_id
appears in database, corresponds amount of commodity_id
's there on page.
if see result of grouping can use:
hits.all();
this return array of objects each object in array contains key
, value
. key
corresponds page_id
, value
corresponds number of times page_id
occurs in dataset.
at point, if you'd page_id
maximum value, can use top()
function. (group()
contains top()
function dimension()
, returns group largest number of counts.) following how can access page_id
entries in database (which should correspond amount of commodity_id
's) , number of corresponding entries:
var page_id_with_most_entries = hits.top(1)[0].key; var number_of_entries = hits.top(1)[0].value;
if haven't already, check out crossfilter.js api wiki:
https://github.com/square/crossfilter/wiki/api-reference
i have found annotated source code of dc.js nasdaq example shown on dc.js page helpful:
http://nickqizhu.github.io/dc.js/docs/stock.html
(just remove "docs/stock.html" link nasdaq example.)
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