Advanced: Clustering

You can cluster the data into separate buckets to find some underlying complexity.

Example

x	y
3.275154	2.957587
-3.344465	2.603513
0.355083	-3.376585
1.852435	3.547351
-2.078973	2.552013
-0.993756	-0.884433
2.682252	4.007573
-3.087776	2.878713
-1.565978	-1.256985
2.441611	0.444826
-0.659487	3.111284
-0.459601	-2.618005
2.17768	2.387793
-2.920969	2.917485
-0.028814	-4.168078
3.625746	2.119041
-3.912363	1.325108
-0.551694	-2.814223
2.855808	3.483301
-3.594448	2.856651
0.421993	-2.372646
1.650821	3.407572
-2.082902	3.384412
-0.718809	-2.492514
4.513623	3.841029
-4.822011	4.607049
-0.656297	-1.449872
1.919901	4.439368
-3.287749	3.918836
-1.576936	-2.977622
3.598143	1.97597
-3.977329	4.900932
-1.79108	-2.184517
3.914654	3.559303
-1.910108	4.166946
-1.226597	-3.317889
1.148946	3.345138
-2.113864	3.548172
0.845762	-3.589788
2.629062	3.535831
-1.640717	2.990517
-1.881012	-2.485405
4.606999	3.510312
-4.366462	4.023316
0.765015	-3.00127
3.121904	2.173988
-4.025139	4.65231
-0.559558	-3.840539
4.376754	4.863579
-1.874308	4.032237
-0.089337	-3.026809
3.997787	2.518662
-3.082978	2.884822
0.845235	-3.454465
1.327224	3.358778
-2.889949	3.596178
-0.966018	-2.839827
2.960769	3.079555
-3.275518	1.577068
0.639276	-3.41284

TABLE clustering = table(0)
ADVANCED MODE
CHART

const datasetArray = data.map(d => ([d.x, d.y]))

var CLUSTER_COUNT = 6;
var DIENSIION_CLUSTER_INDEX = 2;
var COLOR_ALL = [
  '#37A2DA',
  '#e06343',
  '#37a354',
  '#b55dba',
  '#b5bd48',
  '#8378EA',
  '#96BFFF'
];
var pieces = [];
for (var i = 0; i < CLUSTER_COUNT; i++) {
  pieces.push({
    value: i,
    label: 'cluster ' + i,
    color: COLOR_ALL[i]
  });
}
return {
  dataset: [
  {
      source: datasetArray,
      id: 'data'
    },
    {
      transform: {
        type: 'ecStat:clustering',
        print: true,
        config: {
          clusterCount: CLUSTER_COUNT,
          outputType: 'single',
          outputClusterIndexDimension: DIENSIION_CLUSTER_INDEX
        }
      }
    }
  ],
  tooltip: {
    position: 'top'
  },
  visualMap: {
    type: 'piecewise',
    top: 'middle',
    min: 0,
    max: CLUSTER_COUNT,
    left: 10,
    splitNumber: CLUSTER_COUNT,
    dimension: DIENSIION_CLUSTER_INDEX,
    pieces: pieces
  },
  grid: {
    left: 120
  },
  xAxis: {},
  yAxis: {},
  series: {
    type: 'scatter',
    encode: { tooltip: [0, 1] },
    symbolSize: 15,
    itemStyle: {
      borderColor: '#555'
    },
    datasetIndex: 1
  }
};

SELECT * FROM clustering

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Advanced: Clustering

Example

2.9 KiB

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