Parallel coordinates demo | Highcharts.com

package com.highcharts.DevGround.example;

import android.os.Bundle;
import android.support.v7.app.AppCompatActivity;

import com.highsoft.highcharts.Common.HIChartsClasses.*;
import com.highsoft.highcharts.Common.HIColor;
import com.highsoft.highcharts.Core.HIChartView;
import com.highsoft.highcharts.Core.HIFunction;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;

public class MainActivity extends AppCompatActivity {

	@Override
	protected void onCreate(Bundle savedInstanceState) {
		super.onCreate(savedInstanceState);
		setContentView(R.layout.activity_main);

		HIChartView chartView = findViewById(R.id.hc);
		chartView.theme = "brand-light";
		chartView.plugins = new ArrayList<>(Arrays.asList("parallel-coordinates"));

		HIOptions options = new HIOptions();

		HIChart chart = new HIChart();
		chart.setType("spline");
		chart.setParallelCoordinates(true);
		chart.setParallelAxes(new HIParallelAxes());
		chart.getParallelAxes().setLineWidth(2);
		options.setChart(chart);

		HITitle title = new HITitle();
		title.setText("Marathon set");
		options.setTitle(title);

		HIPlotOptions plotOptions = new HIPlotOptions();
		plotOptions.setSeries(new HISeries());
		plotOptions.getSeries().setAnimation(new HIAnimationOptionsObject());
		plotOptions.getSeries().getAnimation().setDuration(0);
		plotOptions.getSeries().setMarker(new HIMarker());
		plotOptions.getSeries().getMarker().setEnabled(false);
		plotOptions.getSeries().getMarker().setStates(new HIStates());
		plotOptions.getSeries().getMarker().getStates().setHover(new HIHover());
		plotOptions.getSeries().getMarker().getStates().getHover().setEnabled(false);
		plotOptions.getSeries().setStates(new HIStates());
		plotOptions.getSeries().getStates().setHover(new HIHover());
		plotOptions.getSeries().getStates().getHover().setHalo(new HIHalo());
		plotOptions.getSeries().getStates().getHover().getHalo().setSize(0);
		plotOptions.getSeries().setEvents(new HIEvents());
		plotOptions.getSeries().getEvents().setMouseOver(new HIFunction("function () { this.group.toFront();}"));
		options.setPlotOptions(plotOptions);

		HITooltip tooltip = new HITooltip();
		tooltip.setPointFormat("<span style=\"color:{point.color}\">\u25CF</span> {series.name}: <b>{point.formattedValue}</b><br/>");
		options.setTooltip(tooltip);

		HILegend legend = new HILegend();
		legend.setEnabled(false);
		options.setLegend(legend);

		HIXAxis xaxis = new HIXAxis();
		String[] categories1 = new String[] {
		        "Training date",
		        "Miles for training run",
		        "Training time",
		        "Shoe brand",
		        "Running pace per mile",
		        "Short or long",
		        "After 2004"
		};
		xaxis.setCategories(new ArrayList<>(Arrays.asList(categories1)));
		xaxis.setOffset(10);
		options.setXAxis(new ArrayList<>(Collections.singletonList(xaxis)));

		HIYAxis yaxis1 = new HIYAxis();
		yaxis1.setType("datetime");
		yaxis1.setTooltipValueFormat("{value:%Y-%m-%d}");

		HIYAxis yaxis2 = new HIYAxis();
		yaxis2.setMin(0);
		yaxis2.setTooltipValueFormat("{value:%Y-%m-%d}");

		HIYAxis yaxis3 = new HIYAxis();
		yaxis3.setType("datetime");
		yaxis3.setMin(0);
		yaxis3.setLabels(new HILabels());
		yaxis3.getLabels().setFormat("{value:%H:%M}");

		HIYAxis yaxis4 = new HIYAxis();
		String[] categories2 = new String[] {
		        "Other",
		        "Adidas",
		        "Mizuno",
		        "Asics",
		        "Brooks",
		        "New Balance",
		        "Izumi"
		};
		yaxis4.setCategories(new ArrayList<>(Arrays.asList(categories2)));

		HIYAxis yaxis5 = new HIYAxis();
		yaxis5.setType("datetime");

		HIYAxis yaxis6 = new HIYAxis();
		yaxis6.setCategories(new ArrayList<>(Arrays.asList("&gt; 5miles", "&lt; 5miles")));

		HIYAxis yaxis7 = new HIYAxis();
		yaxis7.setCategories(new ArrayList<>(Arrays.asList("Before", "After")));
		options.setYAxis(new ArrayList<>(Arrays.asList(yaxis1, yaxis2, yaxis3, yaxis4, yaxis5, yaxis6, yaxis7)));

		HIColor color1 = HIColor.initWithRGBA(11, 200, 200, 0.1);
		options.setColors(new ArrayList<>(Collections.singletonList(color1)));

		options.setSeries(this.set());

		chartView.setOptions(options);

	}

private ArrayList<HISeries> set() {

	ArrayList<HISeries> series = new ArrayList<>();
	Number[][] data = new Number[][]{
			{1012518000000L, 5, 2311020, 0, 462180, 1, 0},
			{1012690800000L, 5, 2464980, 0, 493020.00000000006, 1, 0},
			{1012863600000L, 4, 1881000L, 0, 470280.00000000006, 1, 0},
			{1012950000000L, 6, 3232020, 0, 538680, 0, 0},
			{1013122800000L, 4.5, 2419020, 0, 537540, 1, 0},
			{1013209200000L, 5, 2391000L, 0, 478200, 1, 0},
			{1013295600000L, 4, 2202000L, 0, 550500, 1, 0},
			{1013468400000L, 5, 2304000L, 0, 460799.99999999994, 1, 0},
			{1013554800000L, 6, 2806020, 0, 467640, 0, 0},
			{1013727600000L, 5, 2401020, 0, 480180, 1, 0},
			{1013900400000L, 5, 2385000L, 0, 477000, 1, 0},
			{1013986800000L, 5, 2386020, 0, 477180, 1, 0},
			{1014073200000L, 4, 2026020.0000000002, 0, 506520, 1, 0},
			{1014159600000L, 6, 2851020, 0, 475140, 0, 0},
			{1014332400000L, 5, 2320020, 0, 463979.99999999994, 1, 0},
			{1014418800000L, 5, 2337000L, 0, 467400, 1, 0},
			{1014505200000L, 4, 1863000L, 0, 465780, 1, 0},
			{1014678000000L, 6, 2758020, 0, 459659.99999999994, 0, 0},
			{1014764400000L, 6, 2808000L, 0, 468000L, 0, 0},
			{1015023600000L, 5, 2638020, 0, 527579.9999999999, 1, 0},
			{1015110000000L, 4.5, 2130000L, 0, 473340.00000000006, 1, 0},
			{1014937200000L, 5, 2499000L, 0, 499800, 1, 0},
			{1015023600000L, 5, 2337000L, 0, 467400, 1, 0},
			{1015110000000L, 8, 3853020, 0, 481619.99999999994, 0, 0},
			{1015369200000L, 5, 2482980, 0, 496619.99999999994, 1, 0},
			{1015455600000L, 5, 2406000L, 0, 481200, 1, 0},
			{1015628400000L, 6, 2817000L, 0, 469500, 0, 0},
			{1015714800000L, 8, 3777000L, 0, 472140, 0, 0},
			{1015887600000L, 4, 1882020, 0, 470520, 1, 0},
			{1015974000000L, 5, 2397000L, 0, 479400.00000000006, 1, 0},
			{1016060400000L, 4, 1876980, 0, 469260, 1, 0},
			{1016146800000L, 5, 2472000L, 0, 494400.00000000006, 1, 0},
			{1016233200000L, 5, 2380980, 0, 476220, 1, 0},
			{1016319600000L, 4, 1849980, 0, 462480, 1, 0},
			{1016492400000L, 5, 2211000L, 0, 442200, 1, 0},
			{1016578800000L, 4, 1864980, 0, 466260, 1, 0},
			{1016665200000L, 5, 2305980, 0, 461220, 1, 0},
			{1016751600000L, 5, 2347020, 0, 469380, 1, 0},
			{1016838000000L, 4, 1840020, 0, 460020, 1, 0},
			{1016924400000L, 6, 2833020, 0, 472140, 0, 0},
			{1017097200000L, 5, 2335020, 0, 466980, 1, 0},
			{1017183600000L, 4, 2173020, 0, 543240, 1, 0},
			{1017612000000L, 5, 2379000L, 0, 475799.99999999994, 1, 0},
			{1017957600000L, 5, 2418000L, 0, 483600, 1, 0},
			{1018044000000L, 6, 2865000L, 0, 477480, 0, 0},
			{1018130400000L, 5, 2329980, 0, 466020.00000000006, 1, 0},
			{1018216800000L, 5, 2182980, 0, 436620, 1, 0},
			{1018303200000L, 4, 1765020, 0, 441240, 1, 0},
			{1018389600000L, 6, 2821980, 0, 470340.00000000006, 0, 0},
			{1018562400000L, 5, 2191020, 0, 438180, 1, 0},
			{1018648800000L, 5, 2223000L, 0, 444600, 1, 0},
			{1018735200000L, 4, 1818000L, 0, 454500, 1, 0},
			{1018821600000L, 5, 2230980, 0, 446220, 1, 0},
			{1018908000000L, 4, 1819020, 0, 454740, 1, 0},
			{1018994400000L, 6, 2790000L, 0, 465000L, 0, 0},
			{1019253600000L, 5, 2250000L, 0, 450000L, 1, 0},
			{1019340000000L, 5, 2271000L, 0, 454200.00000000006, 1, 0},
			{1019426400000L, 4, 1900020, 0, 475020, 1, 0},
			{1019599200000L, 6, 2851020, 0, 475140, 0, 0},
			{1019772000000L, 5, 2301000L, 0, 460200, 1, 0},
			{1019858400000L, 5.5, 2823000L, 0, 513299.99999999994, 0, 0},
			{1019944800000L, 5, 2188020, 0, 437580, 1, 0},
			{1020117600000L, 5, 2284980, 0, 457020, 1, 0},
			{1020204000000L, 8, 3811980, 0, 476520, 0, 0},
			{1020290400000L, 5, 2295000L, 0, 459000L, 1, 0},
			{1020376800000L, 5, 2325000L, 0, 465000L, 1, 0},
			{1020463200000L, 5, 2211000L, 0, 442200, 1, 0},
			{1020549600000L, 3, 1327020, 0, 442320, 1, 0},
			{1020636000000L, 5, 2251020, 0, 450180, 1, 0},
			{1020722400000L, 8, 3598020, 0, 449760.00000000006, 0, 0},
			{1020895200000L, 5, 2151000L, 0, 430200, 1, 0},
			{1020981600000L, 5, 2230980, 0, 446220, 1, 0},
			{1021068000000L, 5, 2290980, 0, 458219.99999999994, 1, 0},
			{1021240800000L, 5, 2155020, 0, 430980, 1, 0},
			{1021413600000L, 8, 3814980, 0, 476880, 0, 0},
			{1021500000000L, 5, 2253000L, 0, 450599.99999999994, 1, 0},
			{1021586400000L, 5, 2314980, 0, 463020, 1, 0},
			{1021672800000L, 5, 2305020, 0, 460980, 1, 0},
			{1021759200000L, 4, 1900020, 0, 475020, 1, 0},
			{1021932000000L, 8, 3649980, 0, 456240, 0, 0},
			{1022104800000L, 5, 2134980, 0, 427020, 1, 0},
			{1022191200000L, 5, 2220000L, 0, 444000L, 1, 0},
			{1022364000000L, 5, 2203020, 0, 440580, 1, 0},
			{1022536800000L, 8, 3634980, 0, 454380, 0, 0},
			{1022709600000L, 5, 2200980, 0, 440219.99999999994, 1, 0},
			{1022882400000L, 5, 2256000L, 0, 451200, 1, 0},
			{1022968800000L, 4, 1825980, 0, 456479.99999999994, 1, 0},
			{1023055200000L, 5, 2289000L, 0, 457800, 1, 0},
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			{1023400800000L, 5, 2194980, 0, 439020, 1, 0},
			{1023487200000L, 5, 2224980, 0, 445020, 1, 0},
			{1023573600000L, 5, 2269980, 0, 454020, 1, 0},
			{1023660000000L, 4, 1828980, 0, 457260.00000000006, 1, 0},
			{1023832800000L, 3.5, 1510020, 0, 431400.00000000006, 1, 0},
			{1024005600000L, 5, 2127000L, 0, 425400, 1, 0},
			{1024092000000L, 5, 2182020, 0, 436380, 1, 0},
			{1024178400000L, 5, 2269020, 0, 453780, 1, 0},
			{1024351200000L, 4, 1765020, 0, 441240, 1, 0},
			{1024437600000L, 8, 3586020, 0, 448260, 0, 0},
			{1024610400000L, 5, 2125020, 0, 424980, 1, 0},
			{1024696800000L, 5, 2275980, 0, 455219.99999999994, 1, 0},
			{1024783200000L, 4, 1821000L, 0, 455280.00000000006, 1, 0},
			{1024869600000L, 5, 2286000L, 0, 457200, 1, 0},
			{1024956000000L, 4, 1818000L, 0, 454500, 1, 0},
			{1025042400000L, 7, 3262980, 0, 466140, 0, 0},
			{1025215200000L, 5, 2176020, 0, 435180, 1, 0},
			{1025301600000L, 5, 2316000L, 0, 463200, 1, 0},
			{1025474400000L, 6, 2800980, 0, 466859.99999999994, 0, 0},
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			{1025560800000L, 8, 3724020, 0, 465480, 0, 0},
			{1025733600000L, 5, 2269980, 0, 454020, 1, 0},
			{1025906400000L, 6, 2689980, 0, 448320.00000000006, 0, 0},
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			{1026079200000L, 5, 2247000L, 0, 449400.00000000006, 1, 0},
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			{1029016800000L, 4, 1776000L, 0, 444000L, 1, 0},
			{1029103200000L, 6, 2680020, 0, 446640, 0, 0},
			{1029189600000L, 3, 1339980, 0, 446640, 1, 0},
			{1029276000000L, 14.4, 6766019.999999999, 0, 469860, 0, 0},
			{1029448800000L, 6, 2790000L, 0, 465000L, 0, 0},
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			{1030226400000L, 5, 2211000L, 0, 442200, 1, 0},
			{1030312800000L, 7, 3252000L, 0, 464580.00000000006, 0, 0},
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			{1030485600000L, 12, 5892000L, 0, 490980, 0, 0},
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			{1030744800000L, 10, 4782000L, 0, 478200, 0, 0},
			{1030831200000L, 5, 2214000L, 0, 442800, 1, 0},
			{1030917600000L, 7, 3322020, 0, 474600, 0, 0},
			{1031004000000L, 4, 1789020, 0, 447240, 1, 0},
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			{1037660400000L, 3, 1330980, 0, 443640, 1, 0},
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			{1038178800000L, 4, 1959000L, 0, 489780.00000000006, 1, 0},
			{1038265200000L, 2.5, 1369980, 0, 547979.9999999999, 1, 0},
			{1038351600000L, 8, 3733020, 0, 466620, 0, 0},
			{1038697200000L, 5, 2338020, 0, 467580, 1, 0},
			{1038697200000L, 5, 2350980, 0, 470219.99999999994, 1, 0},
			{1038783600000L, 4, 1810980, 0, 452760, 1, 0},
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             {1129932000000L, 6, 2980020, 6, 496680, 0, 1},
             {1130018400000L, 7, 3375000L, 2, 482159.99999999994, 0, 1}
			/* TOO MUCH DATA
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             {1130364000000L, 8, 3850020, 3, 481260.00000000006, 0, 1},
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             {1145916000000L, 5, 2389980, 3, 478020, 1, 1},
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             {1162162800000L, 5, 2374980, 3, 475020, 1, 1},
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             {1162681200000L, 5, 2380020, 3, 475980, 1, 1},
             {1162767600000L, 7, 3361980, 2, 480300.00000000006, 0, 1},
             {1162940400000L, 12, 6307020, 1, 525600, 0, 1},
             {1163113200000L, 5, 2317020, 4, 463380, 1, 1},
             {1163199600000L, 8, 3961980, 3, 495239.99999999994, 0, 1},
             {1163286000000L, 4, 1951020.0000000002, 1, 487739.99999999994, 1, 1},
             {1163458800000L, 3, 1456020, 2, 485340.00000000006, 1, 1},
             {1163545200000L, 26.2, 13120020, 2, 500760, 0, 1},
             {1164150000000L, 8, 4110000L, 4, 513780.00000000006, 0, 1},
             {1164754800000L, 6, 3079980, 4, 513359.9999999999, 0, 1},
             {1165532400000L, 5, 2580000L, 3, 516000L, 1, 1},
             {1166137200000L, 5, 2640000L, 4, 528000L, 1, 1},
             {1166223600000L, 5, 2569020, 3, 513780.00000000006, 1, 1},
             {1166396400000L, 5, 2397000L, 1, 479400.00000000006, 1, 1},
             {1166655600000L, 5, 2401020, 3, 480180, 1, 1},
             {1166828400000L, 6, 3063000L, 4, 510479.99999999994, 0, 1},
             {1167087600000L, 6, 3010020, 2, 501660, 0, 1},
             {1167346800000L, 5, 2466000L, 0, 493200.00000000006, 1, 1},
             {1167778800000L, 6, 2881980, 2, 480360, 0, 1},
             {1168297200000L, 6, 3055980, 2, 509340.00000000006, 0, 1},
             {1168642800000L, 4, 1981980, 2, 495479.99999999994, 1, 1},
             {1169161200000L, 5, 2592000L, 2, 518400.0000000001, 1, 1},
             {1169420400000L, 5, 2535000L, 4, 506999.99999999994, 1, 1},
             {1169593200000L, 5, 2440980, 4, 488220, 1, 1},
             {1169679600000L, 5, 2452020, 4, 490380, 1, 1},
             {1169766000000L, 4.5, 2134020, 4, 474240, 1, 1},
             {1169938800000L, 5, 2368980, 4, 473820, 1, 1},
			{1170111600000L, 6, 3040980, 2, 506819.99999999994, 0, 1}*/

	};

		HISpline spline;
		for(int i = 0; i < data.length; i++){
		    spline = new HISpline();
		    spline.setName("Runner " + String.valueOf(i + 1));
		    spline.setData(new ArrayList<>());
		    Collections.addAll(spline.getData(), data[i]);
		    spline.setShadow(false);
		    series.add(spline);
		}
		return series;
	}
}
Parallel coordinates

Chart showing an example of a parallel coordinate plot. This type of visualization is commonly used to show multivariate data, and can help analyze large datasets to find patterns and correlations.
Highcharts Android Demos › Parallel coordinates

Parallel coordinates
