Question

我有一个csv数据集，其中有多个提及同一项目（即冲突名称 - 英格兰爱尔兰共和军，以色列巴勒斯坦等），以及每个指定日期的日期和number_of_casualties值。

我想用nvd3堆积面积图来表达这个： http://nvd3.org/examples/stackedArea.html

它在示例中使用的格式是：

key : "category a"
values: [ [ date , amount ] , [ date , amount ] ....]

这里有一些示例中的实际代码：

   {
            "key" : "Energy" ,
            "values" : [ [ 1138683600000 , 1.544303464167] , [ 1141102800000 , 1.4387289432421] , [ 1143781200000 , 0] , [ 1146369600000 , 0] , [ 1149048000000 , 0] , [ 1151640000000 , 1.328626801128] , [ 1154318400000 , 1.2874050802627] , [ 1156996800000 , 1.0872743105593] , [ 1159588800000 , 0.96042562635813] , [ 1162270800000 , 0.93139372870616] , [ 1164862800000 , 0.94432167305385] , [ 1167541200000 , 1.277750166208] , [ 1170219600000 , 1.2204893886811] , [ 1172638800000 , 1.207489123122] , [ 1175313600000 , 1.2490651414113] , [ 1177905600000 , 1.2593129913052] , [ 1180584000000 , 1.373329808388] , [ 1183176000000 , 0] , [ 1185854400000 , 0] , [ 1188532800000 , 0] , [ 1191124800000 , 0] , [ 1193803200000 , 0] , [ 1196398800000 , 0] , [ 1199077200000 , 0] , [ 1201755600000 , 0] , [ 1204261200000 , 0] , [ 1206936000000 , 0] , [ 1209528000000 , 0] , [ 1212206400000 , 0] , [ 1214798400000 , 0] , [ 1217476800000 , 0] , [ 1220155200000 , 0] , [ 1222747200000 , 1.4516108933695] , [ 1225425600000 , 1.1856025268225] , [ 1228021200000 , 1.3430470355439] , [ 1230699600000 , 2.2752595354509] , [ 1233378000000 , 2.4031560010523] , [ 1235797200000 , 2.0822430731926] , [ 1238472000000 , 1.5640902826938] , [ 1241064000000 , 1.5812873972356] , [ 1243742400000 , 1.9462448548894] , [ 1246334400000 , 2.9464870223957] , [ 1249012800000 , 3.0744699383222] , [ 1251691200000 , 2.9422304628446] , [ 1254283200000 , 2.7503075599999] , [ 1256961600000 , 2.6506701800427] , [ 1259557200000 , 2.8005425319977] , [ 1262235600000 , 2.6816184971185] , [ 1264914000000 , 2.681206271327] , [ 1267333200000 , 2.8195488011259] , [ 1270008000000 , 0] , [ 1272600000000 , 0] , [ 1275278400000 , 0] , [ 1277870400000 , 1.0687057346382] , [ 1280548800000 , 1.2539400544134] , [ 1283227200000 , 1.1862969445955] , [ 1285819200000 , 0] , [ 1288497600000 , 0] , [ 1291093200000 , 0] , [ 1293771600000 , 0] , [ 1296450000000 , 1.941972859484] , [ 1298869200000 , 2.1142247697552] , [ 1301544000000 , 2.3788590206824] , [ 1304136000000 , 2.5337302877545] , [ 1306814400000 , 2.3163370395199] , [ 1309406400000 , 2.0645451843195] , [ 1312084800000 , 2.1004446672411] , [ 1314763200000 , 3.6301875804303] , [ 1317355200000 , 2.454204664652] , [ 1320033600000 , 2.196082370894] , [ 1322629200000 , 2.3358418255202] , [ 1325307600000 , 0] , [ 1327986000000 , 0] , [ 1330491600000 , 0] , [ 1333166400000 , 0.39001201038526] , [ 1335758400000 , 0.30945472725559] , [ 1338436800000 , 0.31062439305591]]
        }

有两个问题：

如何将我的csv数据聚合并格式化为该格式？
那是什么时间格式？

Answer 1

回答你的问题，

要为d3图表聚合，切片和切块大数据集，请查看Crossfilter。

Crossfilter是一个用于探索大型多变量的JavaScript库浏览器中的数据集。 Crossfilter支持极快（<30ms）与协调视图的交互，即使是包含数据集的数据集百万或更多记录;

以下是Rusty.io撰写的Crossfilter Tutorial示例：

var livingThings = crossfilter([
  // Fact data.
  { name: “Rusty”,  type: “human”, legs: 2 },
  { name: “Alex”,   type: “human”, legs: 2 },
  { name: “Lassie”, type: “dog”,   legs: 4 },
  { name: “Spot”,   type: “dog”,   legs: 4 },
  { name: “Polly”,  type: “bird”,  legs: 2 },
  { name: “Fiona”,  type: “plant”, legs: 0 }
]);

// How many living things are in my house?
var n = livingThings.groupAll().reduceCount().value();
console.log(“There are ” + n + “ living things in my house.”) // 6

// How many total legs are in my house?
var legs = livingThings.groupAll().reduceSum(function(fact) { return fact.legs; }).value()
console.log(“There are ” + legs + “ legs in my house.”) // 14

您可以在这里找到一些关于如何入门的教程：

Crossfilter Tutorial作者：Rusty.io
Getting to know Crossfilter作者Peter Cook

日期 1138683600000 目前是Unix时间戳。

您可以定义日期在传递到图表时的显示方式。在StackOverflow上查看关于如何Format the date in nvd3.js

以下是一个例子：

chart.xAxis.tickFormat(function(d) {
    // Will Return the date, as "%m/%d/%Y"(08/06/13)
    return d3.time.format('%x')(new Date(d))
});

希望它有所帮助。

使用d3为nvd3重新格式化大型csv数据集

1 个答案: