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HHOW1.js
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302 lines (265 loc) · 6.89 KB
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var filename = "https://html5-cosmocracy.c9.io/SpecimenStats10000.csv";
d3.csv(filename, function(error, data) {
if(error) {
var msg = "Could not read " + filename;
console.log(msg);
alert(msg);
return;
}
// CSV data pre-processing (e.g., type conversion, attribute extraction)
var dateFormat = d3.time.format("%Y-%m-%d");
data.forEach(function (d) {
d.collectionDate = dateFormat.parse(d.collectionDate);
d.collectionMonth = d3.time.month(d.collectionDate); // pre-calculate month for better performance
d.SpecimenCount = +d.SpecimenCount;
});
var ndx = crossfilter(data);
var all = ndx.groupAll();
var collectionYearDimension = ndx.dimension(function (d) {
return d3.time.year(d.collectionDate).getFullYear();
});
var collectionYearPerformanceGroup = collectionYearDimension.group().reduce(
/* callback for when data is added to the current filter results */
function (p, v) {
p.count += v.SpecimenCount;
return p;
},
/* callback for when data is removed from the current filter results */
function (p, v) {
p.count -= v.SpecimenCount;
return p;
},
/* initialize p */
function () {
return {
count: 0
};
}
);
var collectionDateDimension = ndx.dimension(function (d) {
return d.collectionDate;
});
var collectionMonths = ndx.dimension(function (d) {
return d.collectionMonth;
});
// group by total movement within month
var collectionMonthsGroup = collectionMonths.group().reduceSum(function (d) {
return d.SpecimenCount; // ???
});
// group by total volume within move, and scale down result
var specimensByMonthGroup = collectionMonths.group().reduceSum(function (d) {
return d.SpecimenCount; // / 500000;
});
var specimenBiophysicalType = ndx.dimension(function (d) {
return d.specimenBiophysicalType;
});
var specimenBiophysicalTypeGroup = specimenBiophysicalType.group();
var pathologicalStatus = ndx.dimension(function (d) {
return d.pathologicalStatus;
});
var pathologicalStatusGroup = pathologicalStatus.group();
var specimenBiophysicalType = ndx.dimension(function (d) {
return d.specimenBiophysicalType;
});
var specimenBiophysicalTypeGroup = specimenBiophysicalType.group();
var pathologicalStatusChart = dc.pieChart('#pathological-status');
pathologicalStatusChart
.dimension(pathologicalStatus)
.group(pathologicalStatusGroup)
.width(300) // (optional) define chart width, :default = 200
.height(300) // (optional) define chart height, :default = 200
.radius(100)
.innerRadius(20);
dc.dataCount('.dc-data-count')
.dimension(ndx)
.group(all);
dc.dataTable('.dc-data-table')
.dimension(collectionDateDimension)
.group(function (d) {
var format = d3.format('02d');
return d.collectionDate.getFullYear() + '/' + format((d.collectionDate.getMonth() + 1));
})
.size(20) // (optional) max number of records to be shown, :default = 25
//.columns([
// 'SpecimenCount'
/*
'collectionDate',
'specimenBiophysicalType',
'preservationType',
'fmaAnatomicSourceLocation',
'pathologicalStatus',
'diseaseStatus',
'collectionInstitution',
'SpecimenCount'
*/
/*
{
label: 'Change', // desired format of column name 'Change' when used as a label with a function.
format: function (d) {
return numberFormat(d.close - d.open);
}
},
*/
//])
.sortBy(function (d) {
return d.collectionDate;
});
var monthlySpecimenCollectionChart = dc.barChart('#monthly-specimen-collection-chart');
monthlySpecimenCollectionChart
.width(990)
.height(100)
.margins({top: 0, right: 50, bottom: 20, left: 40})
.dimension(collectionMonths)
.group(specimensByMonthGroup)
.centerBar(true)
.gap(1)
.x(d3.time.scale().domain([new Date(1985, 0, 1), new Date(2015, 11, 31)]))
.round(d3.time.month.round)
// .alwaysUseRounding(true)
.xUnits(d3.time.months);
});
var tempBarChart = dc.barChart("#barChartTemp");
var psalBarChart = dc.barChart("#barChartPsal");
tempBarChart.yAxis().ticks(0);
psalBarChart.yAxis().ticks(0);
json = [{
"temp": 23,
"psal": 35
},
{
"temp": 23,
"psal": 35,
},
{
"temp": 23,
"psal": 30
},
{
"temp": 23,
"psal": 30
},
{
"temp": 23,
"psal": 33
},
{
"temp": 20,
"psal": 38
},
{
"temp": 22,
"psal": 33
},
{
"temp": 27,
"psal": 37
},
{
"temp": 21,
"psal": 34
},
{
"temp": 31,
"psal": 38
},
{
"temp": 35,
"psal": 39
},
{
"temp": 32,
"psal": 31
},
{
"temp": 32,
"psal": 31
},
{
"temp": 20,
"psal": 32
},
{
"temp": 29,
"psal": 31
},
{
"temp": 33,
"psal": 38
},
{
"temp": 21,
"psal": 34
},
{
"temp": 31,
"psal": 38
},
{
"temp": 35,
"psal": 39
},
{
"temp": 32,
"psal": 31
},
{
"temp": 21,
"psal": 34,
},
{
"temp": 31,
"psal": 38
},
{
"temp": 35,
"psal": 39
},
{
"temp": 40,
"psal": 35
}];
var xFilter = crossfilter(json);
var totalReadings = xFilter.size();
var all = xFilter.groupAll();
// Updated version
dc.dataCount(".dc-data-count")
.dimension(xFilter)
.group(all);
// dimensions and groups
var tempDim = xFilter.dimension(function (d) { return d.temp; });
var tempGroup = tempDim.group().reduceCount(function (d) { return d.temp; });
var psalDim = xFilter.dimension(function(d) {return d.psal;});
var psalGroup= psalDim.group().reduceCount(function(d) {return d.psal;});
var brush = d3.svg.brush();
// Charts
tempBarChart
.width(300).height(150)
.dimension(tempDim)
.group(tempGroup)
.x(d3.scale.linear()
.domain([15, 45]))
.xAxisLabel("Temperature")
.centerBar(true)
.on("brushstart", brushed)
psalBarChart
.width(300).height(150)
.dimension(psalDim)
.group(psalGroup)
.x(d3.scale.linear()
.domain([25, 40]))
.xAxisLabel("Salinity")
.centerBar(true)
.on("brushstart", brushed)
// keep track of total readings
d3.select("#total").text(totalReadings);
// First listener test
function brushed() {
console.log("brush test 1");
d3.select("#current").text(all.value());
}
// Second listener test
brush.on("brushstart", function() {
console.log("brush test 2");
});
// render all charts
dc.renderAll();