我如何交叉过滤 2 dc.js SeriesChart?

如何解决我如何交叉过滤 2 dc.js SeriesChart?

我是使用 dc.js 创建可视化的新手,我希望创建 2 dc 系列图表,其中通过单击第一个图表过滤第二个图表。第二个系列图(学校图)应显示该大学的不同学校,例如根据所选大学的工程学院(大学图)。目前,我无法点击大学图表进行过滤,我不知道我哪里出错了。

这是 js-fiddle 的链接:https://jsfiddle.net/vfp7bdat/1/

<!DOCTYPE html>
<html lang="en">
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width,initial-scale=1.0" />
    <title>Document</title>
    <!-- d3 cdn -->
    <script src="https://d3js.org/d3.v6.js"></script>
    <script src="https://d3js.org/d3-dsv.v1.min.js"></script>
    <!-- crossfilter cdn -->
    <script
      src="https://cdnjs.cloudflare.com/ajax/libs/crossfilter/1.3.12/crossfilter.min.js"
      integrity="sha512-nlO6OGj6wb0uu/thpSry7qFal63hfhCLExpWxYomYB3tBznqWmKggsDHNHSLjnVaoade9tv/rErN498NSzwBnA=="
      crossorigin="anonymous"
    ></script>
    <!-- dc cdn -->
    <script
      src="https://cdnjs.cloudflare.com/ajax/libs/dc/4.2.3/dc.js"
      integrity="sha512-uIQEG7zDRB1dlmHnSs8pw8Mz3kiC1qdOxGnJyeTFNcYJIl60ITabMIxk3MQyzYx+7SfJitz3FVp6ySUwHPzwSQ=="
      crossorigin="anonymous"
    ></script>
    <link
      rel="stylesheet"
      href="https://cdnjs.cloudflare.com/ajax/libs/dc/4.2.3/style/dc.css"
      integrity="sha512-ZCK4qcVpG4m3G6VG2CWs5Tl870Xn9xhT3SWJLmbsbTfU9/hzyZDeCzyLpjsCc27YxlDi19URyKlY+h4cQIifig=="
      crossorigin="anonymous"
    />
    <!-- reductio cdn -->
    <script
      src="https://cdnjs.cloudflare.com/ajax/libs/reductio/1.0.0/reductio.js"
      integrity="sha512-NGAPJvYQee6VfMDfMRjqWxzcKHXuk1mrEqlc+D8VumYz00Kn9a0/fRMk8zoyRA+QZXRJJQFNOuyh+h1gJc49Yg=="
      crossorigin="anonymous"
    ></script>
  </head>
  <body>
    <div id="uni">
      <strong>University</strong>
      <span class="reset" style="display: none"
        >Selected: <span class="filter"></span
      ></span>
      <a
        class="reset"
        href="javascript:uniChart.filterAll();dc.redrawAll();"
        style="display: none"
        >reset
      </a>
      <div class="clearfix"></div>
    </div>

    <div id="school">
      <strong>School</strong>
      <span class="reset" style="display: none"
        >Selected: <span class="filter"></span
      ></span>
      <a
        class="reset"
        href="javascript:schoolChart.filterAll();dc.redrawAll();"
        style="display: none"
        >reset
      </a>
      <div class="clearfix"></div>
    </div>

    <script>
      var uniChart = new dc.SeriesChart("#uni");
      var schoolChart = new dc.SeriesChart("#school");

      var data = d3
        .csv("cleaned_graduate-employment-survey-ntu-nus-sit-smu-suss-sutd.csv")
        .then(function (data) {
            // remove na value
            data = data.filter(function(d){
                if (isNaN(d["employment_rate_overall"])){
                    return false
                }
                d["employment_rate_overall"] = parseFloat(d["employment_rate_overall"]);
                return true
            })
          var ndx = crossfilter(data);
          // var all = ndx.groupAll();


          var uniDim = ndx.dimension(function (d) {
            return [d.university,d.year];
          });   
          var schoolDim = ndx.dimension(function(d){
            return [d.school,d.year];
          })
          var test = ndx.dimension(function(d){
            return d.university;
          })


          var yearDim = ndx.dimension(function (d) {
            return d.year;
          });
          var minDate = new Date(yearDim.bottom(1)[0].year);
          var maxDate = new Date(yearDim.top(1)[0].year);
          
          // group by employment rate
          var uniGroup = uniDim.group();
          var schoolGroup = schoolDim.group();

          var empRateReducer = reductio()
            .avg(function (d) {
              return parseFloat(d["employment_rate_overall"]);
            });
          empRateReducer(uniGroup);
          empRateReducer(schoolGroup);
          
          console.log(schoolGroup.all());

          uniChart
            .width(900)
            .height(500)
            .chart(function(c) { return new dc.LineChart(c).curve(d3.curveCardinal).renderDataPoints({radius: 5,fillOpacity: 0.8,strokeOpacity: 0.0}); })
            .x(d3.scaleTime().domain([minDate,maxDate]))
            .y(d3.scaleLinear().domain([80,100]))
            .brushOn(false)
            .yAxisLabel("Employment Rate (%)")
            .xAxisLabel("Year")
            .elasticX(true) 
            .elasticY(false)
            .dimension(uniDim)
            .group(uniGroup)
            .clipPadding(10)
            .mouseZoomable(false)
            .seriesAccessor(function(d) {return d.key[0];})
            .keyAccessor(function(d) {return new Date (d.key[1]);})
            .valueAccessor(function(d) {return +d.value.avg;})
            .legend(dc.legend().x(500).y(320).itemHeight(13).gap(5).horizontal(1).legendWidth(140).itemWidth(700));
          uniChart.yAxis().tickFormat(function(d) {return `${d}%`;});
          uniChart.margins().left += 40;

          schoolChart
            .width(900)
            .height(500)
            .dimension(schoolDim)
            .group(schoolGroup)
            .elasticX(true)
            .elasticY(false)
            .brushOn(false)
            .yAxisLabel("Employment Rate (%)")
            .xAxisLabel("Year")
            .clipPadding(10)
            .x(d3.scaleTime().domain([minDate,100]))
            .chart(function(c) { return new dc.LineChart(c).curve(d3.curveCardinal).renderDataPoints({radius: 5,strokeOpacity: 0.0});; })
            .seriesAccessor(function(d) {return d.key[0];})
            .keyAccessor(function(d) {return new Date (d.key[1]);})
            .valueAccessor(function(d) {return d.value.avg;})
            .legend(dc.legend().x(500).y(320).itemHeight(13).gap(5).horizontal(1).legendWidth(140).itemWidth(700))
            //  .data(function (group) {
            //      return group.top(10);
            //    });

          dc.renderAll();
        });
    </script>
  </body>
</html>

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams[&#39;font.sans-serif&#39;] = [&#39;SimHei&#39;] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -&gt; systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping(&quot;/hires&quot;) public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate&lt;String
使用vite构建项目报错 C:\Users\ychen\work&gt;npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)&gt; insert overwrite table dwd_trade_cart_add_inc &gt; select data.id, &gt; data.user_id, &gt; data.course_id, &gt; date_format(
错误1 hive (edu)&gt; insert into huanhuan values(1,&#39;haoge&#39;); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive&gt; show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 &lt;configuration&gt; &lt;property&gt; &lt;name&gt;yarn.nodemanager.res