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index.js
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index.js
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//# dc.js Getting Started and How-To Guide
'use strict';
//charts - divs
//var gainOrLossChart = dc.pieChart("#gain-loss-chart");
//var fluctuationChart = dc.barChart("#fluctuation-chart");
// var complaintChart = dc.rowChart("#complaint-chart");
//
// var boroughChart = dc.rowChart("#borough-chart");
// var dayOfWeekChart = dc.rowChart("#day-of-week-chart");
// var agencyChart = dc.rowChart("#agency-chart");
// //var hourChart = dc.barChart("#hour-chart");
// var tempChart = dc.barChart("#temperature-chart")
// var nycMap = dc.geoChoroplethChart("#nyc-chart");
// var zipcodeChart = dc.rowChart("#zipcode-chart");
//var moveChart = dc.lineChart("#monthly-move-chart");
//var volumeChart = dc.barChart("#monthly-volume-chart");
//var yearlyBubbleChart = dc.bubbleChart("#yearly-bubble-chart");
//var rwChart = dc.geoChoroplethChart("#choropleth-map-chart");
function toTitleCase(str)
{
return str.replace(/\w\S*/g, function(txt){return txt.charAt(0).toUpperCase() + txt.substr(1).toLowerCase();});
}
queue()
.defer(d3.csv, "SVI2018_US.csv")
//.defer(d3.csv, "nyc_smallSample.csv")
.defer(d3.json, "cartogram.geojson")
.await(ready);
//filters for text
// var nypd = "NYPD"
// var weekend = ["0.Sun","6.Sat"]
// var noise = "Loud Music/Party"
// var tlc = "TLC"
function numberWithCommas(x) {
return x.toString().replace(/\B(?=(\d{3})+(?!\d))/g, ",");
}
function histoMaker(column,ndx,domain,div,color){
var histochart = dc.barChart(div);
var titleDiv = d3.select(div).append('div').html(themeDisplayTextShort[column]).style('padding',"10px")
.attr('id',column+"_title")
.style('height',"36px")
titleDiv.append('div').attr("id",column+"_filter").attr("class","filter")
.style('height',"12px")
titleDiv.append("div")
//.attr("href",'javascript:myChart.filterAll();dc.redrawAll();')
.attr("class","reset")
.attr("id",column+"_reset")
.style('height',"12px")
//.style("visibility","hidden")
.html(" ")
.on("click",function(){
d3.select("#"+column+"_filter").html("")
histochart.filterAll()
dc.redrawAll()
})
var dim = ndx.dimension(function(d){
if(column=="EP_PCI"){
return Math.round(d[column]/500)*500
}else{
return Math.round(d[column])
}
})
var gro = dim.group()
//console.log(gro.reduceCount())
//console.log(dim)
var width = (window.innerWidth-100)/4
if(column=="EP_PCI"){
width =600
}
histochart.width(width)
.height(100)
.margins({top: 0, right: 50, bottom: 20, left: 40})
.ordinalColors([color])
.dimension(dim)
.group(gro)
// .centerBar(true)
.elasticY(true)
.gap(1)
.x(d3.scale.linear().domain(domain).range([0,1200]))
.yAxis().ticks(4);
if(column=="EP_PCI"){
histochart.xAxis().ticks(5)//.tickValues([0, 100000]);
histochart.xAxis().tickFormat(function(v) {return "$"+numberWithCommas(v) ;});
}else{
histochart.xAxis().ticks(5)//Values([0,25, 50,75,100]);
histochart.xAxis().tickFormat(function(v) {return v + '%';});
}
histochart.turnOnControls(true)
//histochart.controlsUseVisibility(true)
histochart.filterPrinter(filters => {
const filter = filters[0];
let s = '';
if(column=="EP_PCI"){
s += " $"+Math.round(filter[0])+" - $"+ Math.round(filter[1]);
}else{
s +=" "+ Math.round(filter[0])+"% - "+ Math.round(filter[1])+"%";
}
d3.select("#"+column+"_filter").html(s)
d3.select("#"+column+"_reset").html(" reset")
return s;
});
}
var colors = ["#68aa59",
"#596838",
"#7dd143",
"#bbb960"]
var groups = ["Socioeconomic_Status","Household_Composition","Race_Ethnicity_Language","Housing_Transportation"]
var colorDictionary = {
}
for(var g in groups){
console.log(colors[g])
colorDictionary[groups[g]]=colors[g]
}
var measureGroup = {
"EP_POV":"Socioeconomic_Status",
"EP_PCI":"Socioeconomic_Status",
"EP_UNEMP":"Socioeconomic_Status",
"EP_NOHSDP":"Socioeconomic_Status",
"EP_AGE17":"Household_Composition",
"EP_AGE65":"Household_Composition",
"EP_DISABL":"Household_Composition",
"EP_SNGPNT":"Household_Composition",
"EP_LIMENG":"Race_Ethnicity_Language",
"EP_MINRTY":"Race_Ethnicity_Language",
"EP_CROWD":"Housing_Transportation",
"EP_GROUPQ":"Housing_Transportation",
"EP_MOBILE":"Housing_Transportation",
"EP_MUNIT":"Housing_Transportation",
"EP_NOVEH":"Housing_Transportation"
}
var groups = {
Socioeconomic_Status:["EP_POV","EP_PCI","EP_UNEMP","EP_NOHSDP"],
Household_Composition:["EP_AGE17","EP_AGE65","EP_DISABL","EP_SNGPNT"],
Race_Ethnicity_Language:["EP_MINRTY","EP_LIMENG"],
Housing_Transportation:["EP_NOVEH","EP_MUNIT","EP_MOBILE","EP_GROUPQ","EP_CROWD"]
}
var themeDisplayTextShort = {
"EP_POV":"% residents below poverty",
"EP_PCI":"$ Per capita income",
"EP_UNEMP":"% unemployment",
"EP_NOHSDP":"% residents with no high school diploma",
"EP_AGE17":"% residents under 18",
"EP_AGE65":"% residents over 64",
"EP_DISABL":"% residents with disability",
"EP_SNGPNT":"% single parent households",
"EP_LIMENG":"% residents speaking limited english",
"EP_MINRTY":"% minorities",
"EP_CROWD":"% households more people than rooms",
"EP_GROUPQ":"% group quarters",
"EP_MOBILE":"% mobile homes",
"EP_MUNIT":"% structures with 10+ units",
"EP_NOVEH":"% households with no vehicle available"
}
function ready(error, data, geodata){
// //format dates
// var dateFormat = d3.time.format("%m%d%Y");
// var numberFormat = d3.format(".2f");
//
// //prepars date and month
// data.forEach(function (d) {
// d.dd = dateFormat.parse(d.date);
// d.month = d3.time.month(d.dd); // pre-calculate month for better performance
// });
//### Create Crossfilter Dimensions and Groups
//See the [crossfilter API](https://github.com/square/crossfilter/wiki/API-Reference) for reference.
var ndx = crossfilter(data);
var all = ndx.groupAll();
//var measures = ["EP_POV","EP_PCI","EP_UNEMP","EP_NOHSDP","EP_AGE17","EP_AGE65","EP_DISABL","EP_SNGPNT", "EP_LIMENG","EP_MINRTY","EP_CROWD","EP_GROUPQ","EP_MOBILE", "EP_MUNIT","EP_NOVEH"]
for(var g in groups){
var measures = groups[g]
var color = colorDictionary[g]
var groupDiv = d3.select("#charts").append('div')
.attr('id',g).attr("class","group")
groupDiv.append("div").html(g.split("_").join(" "))
.style("background-color",color)
.style("color","white")
.style("padding","5px")
for(var m in measures){
groupDiv.append('div').attr('id',measures[m]).attr("class","chartDiv")
.style("color",color)
var max = d3.max(function(d){console.log(d); return d[measures[m]]})
if(measures[m]=="EP_PCI"){
histoMaker(measures[m],ndx,[0,100000],"#"+measures[m],color)
}else{
histoMaker(measures[m],ndx,[0,100],"#"+measures[m],color)
}
}
}
// // dimension by month
// var monthDimension = ndx.dimension(function (d) {
// return d.month;
// });
//
var dateDimension = ndx.dimension(function (d) {
return d.STATE;
});
//
// var temp = ndx.dimension(function(d){
// return d.tempMax
// })
// var tempGroup = temp.group();
// // create categorical dimension
// var agency = ndx.dimension(function (d) {
// return d.agency;
// });
// var agencyGroup = agency.group();
//
// var complaint = ndx.dimension(function (d) {
// return d.description;
// });
// var complaintGroup = complaint.group();
//
// var hour = ndx.dimension(function (d) {
// return d.hour;
// });
// var hourGroup = hour.group();
//
//
// var borough = ndx.dimension(function (d) {
// return d.borough;
// });
// var boroughGroup = borough.group();
//
//
// // counts per weekday
// var dayOfWeek = ndx.dimension(function (d) {
// var day = d.dd.getDay();
// var name=["Sun","Mon","Tue","Wed","Thu","Fri","Sat"];
// return day+"."+name[day];
// });
// var dayOfWeekGroup = dayOfWeek.group();
//
//
// var zipcode = ndx.dimension(function(d){
// return d.zipcode
// })
// var zipcodeGroup = zipcode.group();
//
// var topRowHeight = 120;
// var topRowColor = "#EDA929"
// dayOfWeekChart.width(200)
// .height(topRowHeight)
// .margins({top: 0, left: 30, right: 10, bottom: 20})
// .group(dayOfWeekGroup)
// .dimension(dayOfWeek)
// // assign colors to each value in the x scale domain
// .ordinalColors([topRowColor])
// .label(function (d) {
// return d.key.split(".")[1];
// })
// .labelOffsetX(-30)
// //.labelOffsetY(0)
//
// // title sets the row text
// .title(function (d) {
// return d.value;
// })
// .elasticX(true)
// .gap(2)
// .xAxis().ticks(4);
//
// // hourChart.width(300)
// // .height(topRowHeight)
// // .margins({top: 0, right: 50, bottom: 20, left: 50})
// // .ordinalColors([topRowColor])
// // .dimension(hour)
// // .group(hourGroup)
// // .centerBar(true)
// // .elasticY(true)
// //
// // .gap(1)
// // .x(d3.scale.linear().domain([1,24]))
// // .yAxis().ticks(4);
// //
// tempChart.width(300)
// .height(topRowHeight)
// .margins({top: 20, left: 50, right: 10, bottom: 20})
// .group(tempGroup)
// .dimension(temp)
// .ordinalColors([topRowColor])
// .centerBar(true)
// .gap(1)
// .x(d3.scale.linear().domain([1,124]))
// .yAxis().ticks(4)
//
// var boroughScale = d3.scale.linear().domain([0,7]).range(["#ffffff", "#dc3a23"])
// var boroughChartColors = []
// for(var i =2; i < 7; i ++){
// boroughChartColors.push(boroughScale(i))
// }
//
// //TODO:lenght of current data
// var allValue = data.length
// //console.log(allvalue)
//
// boroughChart.width(220)
// .height(140)
// .margins({top: 20, left: 90, right: 10, bottom: 20})
// .ordinalColors(boroughChartColors)
// .gap(1)
// .data(function(zipcodeGroup){return zipcodeGroup.top(5)})
// .dimension(borough)
// .ordering(function(d){ return -d.value})
// .group(boroughGroup)
// .ordinalColors(["#DE3E2A"])
// .label(function (d) {
// return d.key;
// })
// .elasticX(true)
// .labelOffsetX(-90)
// .labelOffsetY(15)
// .label(function (d) {
// //return toTitleCase(d.key) + ' ' + Math.round((d.endAngle - d.startAngle) / Math.PI * 50) + '%';
// return toTitleCase(d.key+ " "+Math.round(d.value/allValue*100)+"%");
// })
// .xAxis().ticks(2)
//
// zipcodeChart.width(200)
// .height(200)
// .margins({top: 20, left: 40, right: 10, bottom: 20})
// .group(zipcodeGroup)
// .dimension(zipcode)
// .gap(1)
// .data(function(zipcodeGroup){return zipcodeGroup.top(10)})
// .ordering(function(d){ return -d.value })
// .ordinalColors(["#D96947"])
// .label(function (d) {
// return d.key;
// })
// .labelOffsetX(-35)
// .labelOffsetY(12)
//
// // title sets the row text
// .title(function (d) {
// return d.value;
// })
// .elasticX(true)
// .xAxis().ticks(4);
//
//
// var bottomRowHeight = 800
//
// agencyChart.width(380)
// .height(bottomRowHeight)
// .margins({top: 0, left: 125, right: 10, bottom: 20})
// .group(agencyGroup)
// .dimension(agency)
// .labelOffsetX(-120)
// .labelOffsetY(12)
// .data(function(agencyGroup){return agencyGroup.top(50)})
// .ordering(function(d){ return -d.value })
// .ordinalColors(["#5CDD89"])
// .label(function (d) {
// return d.key+": "+ d.value+ " Reports";
// })
// // title sets the row text
// .title(function (d) {
// return d.value;
// })
// .elasticX(true)
// .xAxis().ticks(4)
//
// complaintChart.width(390)
// .height(bottomRowHeight)
// .margins({top: 0, left: 180, right: 10, bottom: 20})
// .group(complaintGroup)
// .dimension(complaint)
// .labelOffsetX(-175)
// .labelOffsetY(12)
// .data(function(complaintGroup){return complaintGroup.top(50)})
// .ordering(function(d){ return -d.value })
// .ordinalColors(["#63D965"])
// .title("test")
// .label(function (d){
// var keyString = d.key.split(" ")
// //return d.key
// return keyString[0]+" "+keyString[1]+": "+ d.value + " Reports";
// })
// .elasticX(true)
// .xAxis().ticks(4)
// //.on("mouseover", function(d){console.log("test")})
//
//
dc.dataCount(".dc-data-count")
.dimension(ndx)
.group(all)
// // (optional) html, for setting different html for some records and all records.
// // .html replaces everything in the anchor with the html given using the following function.
// // %filter-count and %total-count are replaced with the values obtained.
.html({
some:"%filter-count selected out of <strong>%total-count</strong> tracts | <a href='javascript:dc.filterAll(); dc.renderAll();''>Reset All</a>",
all:"All %total-count tracts selected."
})
// /*
// //#### Data Table
// // Create a data table widget and use the given css selector as anchor. You can also specify
// // an optional chart group for this chart to be scoped within. When a chart belongs
// // to a specific group then any interaction with such chart will only trigger redraw
// // on other charts within the same chart group.
// <!-- anchor div for data table -->
// <div id="data-table">
// <!-- create a custom header -->
// <div class="header">
// <span>Date</span>
// <span>Open</span>
// <span>Close</span>
// <span>Change</span>
// <span>Volume</span>
// </div>
// <!-- data rows will filled in here -->
// </div>
// */
//
dc.dataTable(".dc-data-table")
.dimension(dateDimension)
// data table does not use crossfilter group but rather a closure
// as a grouping function
.group(function (d) {
return d.STATE
})
.size(250) // (optional) max number of records to be shown, :default = 25
// dynamic columns creation using an array of closures
.columns([
function (d) {
return d.FIPS;
},
function (d) {
return d.LOCATION;
},
function (d) {
return d["E_TOTPOP"];
},
function (d) {
return d["AREA_SQMI"];
}
])
// (optional) sort using the given field, :default = function(d){return d;}
.sortBy(function (d) {
return d.FIPS;
})
// (optional) sort order, :default ascending
.order(d3.ascending)
// (optional) custom renderlet to post-process chart using D3
.renderlet(function (table) {
table.selectAll(".dc-table-group").classed("info", true);
});
//nycMap
//var colorScale = d3.scale.linear().domain([0,10000]).range(["#eee", "#dc3a23"])
//var maxZipcode = zipcodeGroup.top(1)[0].value
var padding = 10
var width = 300
var height = 200
var projection = d3.geo.mercator()
// .fitExtent([[padding,padding],[width-padding,height-padding]],geodata)
.scale(200).translate([500, 250]);
// .center([-74.25,40.915])
// .translate([0, 0])
// .scale(450);
//
var state = ndx.dimension(function(d){
return d["ST_ABBR"]
})
var stateGroup =state.group();
var cartogram= dc.geoChoroplethChart("#cartogram");
cartogram
.projection(projection)
.width(width) // (optional) define chart width, :default = 200
.height(height) // (optional) define chart height, :default = 200
.transitionDuration(1000) // (optional) define chart transition duration, :default = 1000
.dimension(state) // set crossfilter dimension, dimension key should match the name retrieved in geo json layer
.group(stateGroup) // set crossfilter group
//.colors(function(d, i){return colorScale(d.value);})
//.colorAccessor(function(d){return d.value})
.colors(["#aaa"])
.overlayGeoJson(geodata.features, "ST_ABBR", function(d) {
return d.properties["iso3166_2"];
})
.legend(dc.legend().x(200).y(10).itemHeight(13).gap(5))
dc.renderAll();
d3.selectAll(".ST_ABBR")
.style("cursor","pointer")
.on('mouseover', function(d){
d3.select(this).style("fill","black")
})
.on('click',function(d){
//console.log(d3.select(this).attr("class"))
d3.selectAll(".ST_ABBR").select("path").style("fill","#aaa")
d3.selectAll(".selected").select("path").style("fill","black")
var selectedStates = ""
d3.selectAll(".selected").each(function(d){
selectedStates+=d.properties["google_name"].replace(" (United States)","")+" | "
})
d3.select("#filter_state").html(selectedStates)
})
// d3.select("#loader").remove();
};
//#### Version
//Determine the current version of dc with `dc.version`
d3.selectAll("#version").text(dc.version);