export const data = {
    OneD: {
        subjects: {
            columns: ["Result"],
            data: [66]
        },
        amgauge: {
            numBands: [3],
            bandsColor: ["#84b761", "#fdd400", "#cc4748"],
            bandsStartValue: [0, 40, 80],
            bandsEndValue: [40, 80, 100],
            bandsInnerRadius: [null, null, "95%"],
            bottomText: ["[[data]] km/h"],
            high: 220,
            low: 0,
            data: [100],
            axisAlpha: [0.2],
            axisLineWidth: [1],
            tickAlpha: [0.2],
            valueInterval: null
        }
    },
    TwoD: {
        subjects: {
            columns: ["Subject", "Year 1"],
            data: [
                ["Geography", 75],
                ["English", 45],
                ["Math", 98],
                ["Science", 66]
            ]
        }
    },
    Pivot: {
        subjects: {
            columns: ["Entity", "Product", "Manufacturer", "Class", "Category", "Quantity", "Amount"],
            data: [
                ["Contoso Florida", "Proseware LCD17W E202 Black", "Proseware, Inc.", "Economy", "Monitors", 4, 509.55],
                ["Contoso New Jersey", "Adventure Works CRT15 E101 Black", "Adventure Works", "Economy", "Monitors", 4, 351],
                ["Contoso Japan", "WWI Projector 480p LCD12 Silver", "Wide World Importers", "Regular", "Projectors & Screens", 9, 2038.1],
                ["Contoso Quebec", "Proseware Screen 80in E1010 Black", "Proseware, Inc.", "Economy", "Projectors & Screens", 4, 419.65],
                ["Contoso North America Online Store", "Adventure Works LCD15 E100 White", "Adventure Works", "Economy", "Monitors", 4, 381.15],
                ["Contoso Massachusetts", "WWI CRT17 E106 Black", "Wide World Importers", "Economy", "Monitors", 4, 391.05],
                ["Contoso Iran", "WWI Projector 480p LCD12 Silver", "Wide World Importers", "Regular", "Projectors & Screens", 9, 2038.1],
                ["Contoso Denmark", "WWI Screen 85in E1010 White", "Wide World Importers", "Economy", "Projectors & Screens", 4, 549.05],
                ["Contoso South Carolina", "Proseware Screen 80in E1010 Silver", "Proseware, Inc.", "Economy", "Projectors & Screens", 4, 425.1],
                ["Contoso Colorado", "Contoso Projector 480p M481 White", "Contoso, Ltd", "Regular", "Projectors & Screens", 9, 4416.15],
                ["Contoso Slovenia", "Contoso Screen 85in E085 White", "Contoso, Ltd", "Economy", "Projectors & Screens", 4, 542.1],
                ["Contoso Thailand", "Proseware Projector 1080p LCD86 Silver", "Proseware, Inc.", "Deluxe", "Projectors & Screens", 9, 20655],
                ["Contoso Shanghai", "Contoso Screen 80in E080 White", "Contoso, Ltd", "Economy", "Projectors & Screens", 4, 419.65],
                ["Contoso Alberta", "Proseware Projector 480p LCD12 White", "Proseware, Inc.", "Regular", "Projectors & Screens", 9, 2061],
                ["Contoso Australia", "Proseware Screen 85in E1010 Silver", "Proseware, Inc.", "Economy", "Projectors & Screens", 4, 542.1],
                ["Contoso Scotland", "Proseware Scan Jet Digital Flat Bed Scanner M300 Grey", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1076.9],
                ["Contoso Virginia", "Proseware Mobile Receipt and Document Scanner M200 Grey", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1026.6],
                ["Contoso Beijing", "Proseware Laser Jet All in one X300 White", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1927.2],
                ["Contoso Alberta", "Proseware Projector 480p LCD12 Black", "Proseware, Inc.", "Regular", "Projectors & Screens", 9, 2026.65],
                ["Contoso Beijing", "Proseware Ink Jet Instant PDF Sheet-Fed Scanner M300 Grey", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1440],
                ["Contoso Poland", "Proseware Scan Jet Digital Flat Bed Scanner M300 Grey", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1082.95],
                ["Contoso Canada", "Proseware Projector 1080p DLP86 Black", "Proseware, Inc.", "Deluxe", "Projectors & Screens", 9, 21991.2],
                ["Contoso Syria", "Proseware Wireless Photo All-in-One Printer M390 Grey", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1654.4],
                ["Contoso Poland", "Proseware 23ppm Laser Printer with Wireless and Wired Network Interfaces M680 Black", "Proseware, Inc.", "Regular", "Printers, Scanners & Fax", 9, 1734.6],
                ["Contoso the Netherlands", "WWI Desktop PC1.80 E1800 White", "Wide World Importers", "Economy", "Desktops", 12, 2724.315],
                ["Contoso Quebec", "Adventure Works Laptop15 M1500 Black", "Adventure Works", "Regular", "Laptops", 9, 6151.2],
                ["Contoso the Netherlands", "Adventure Works Desktop PC1.80 ED182 Silver", "Adventure Works", "Regular", "Desktops", 27, 13472.305],
                ["Contoso Malta", "Adventure Works Desktop PC1.60 ED160 Brown", "Adventure Works", "Economy", "Desktops", 12, 3212.405],
                ["Contoso Iran", "WWI Desktop PC1.80 E1802 White", "Wide World Importers", "Economy", "Desktops", 12, 3598.8],
                ["Contoso South Carolina", "Adventure Works Desktop PC1.80 ED182 Silver", "Adventure Works", "Regular", "Desktops", 27, 13472.305],
                ["Contoso Maryland", "Fabrikam Laptop19W M9800 Black", "Fabrikam, Inc.", "Regular", "Laptops", 9, 10671.1],
                ["Contoso Europe", "Fabrikam Laptop13.3 M3000 Red", "Fabrikam, Inc.", "Regular", "Laptops", 9, 3382],
                ["Contoso Connecticut", "WWI Laptop16 M0160 Black", "Wide World Importers", "Regular", "Laptops", 9, 5331.1],
                ["Contoso Maryland", "Fabrikam Laptop16W M6080 Black", "Fabrikam, Inc.", "Regular", "Laptops", 9, 8654.65],
                ["Contoso Switzerland", "Fabrikam Laptop15 M5000 White", "Fabrikam, Inc.", "Regular", "Laptops", 9, 6256.05],
                ["Contoso South Korea", "Fabrikam Laptop19 M9000 Black", "Fabrikam, Inc.", "Regular", "Laptops", 9, 9836.05],
                ["Contoso Virginia", "Adventure Works Desktop PC1.80 ED180 Black", "Adventure Works", "Regular", "Desktops", 27, 9944.55],
                ["Contoso Quebec", "Proseware LCD17 E200 White", "Proseware, Inc.", "Economy", "Monitors", 4, 386.1],
                ["Contoso Alaska", "WWI Desktop PC1.60 E1600 Black", "Wide World Importers", "Economy", "Desktops", 12, 2595.41],
                ["Contoso Canada", "Adventure Works Desktop PC1.80 ED180 White", "Adventure Works", "Regular", "Desktops", 27, 9963],
                ["Contoso North America Online Store", "WWI Desktop PC1.60 E1600 Black", "Wide World Importers", "Economy", "Desktops", 12, 2606.4075],
                ["Contoso Guangdong", "Adventure Works Desktop PC1.60 ED160 White", "Adventure Works", "Economy", "Desktops", 12, 3185.41],
                ["Contoso North America Online Store", "Adventure Works LCD17W E203 Black", "Adventure Works", "Economy", "Monitors", 4, 516],
                ["Contoso Alaska", "Adventure Works LCD15 E100 Black", "Adventure Works", "Economy", "Monitors", 4, 381.15],
                ["Contoso Thailand", "Adventure Works Desktop PC1.80 ED180 White", "Adventure Works", "Regular", "Desktops", 27, 9963],
                ["Contoso New Jersey", "Adventure Works CRT19 E10 Black", "Adventure Works", "Economy", "Monitors", 4, 269.1],
                ["Contoso Malta", "Proseware LCD17 E200 Black", "Proseware, Inc.", "Economy", "Monitors", 4, 381.15],
                ["Contoso New York", "Proseware CRT17 E104 Black", "Proseware, Inc.", "Economy", "Monitors", 4, 224.2],
                ["Contoso Florida", "Adventure Works Desktop PC1.80 ED180 White", "Adventure Works", "Regular", "Desktops", 27, 9889.2],
                ["Contoso Scotland", "The Phone Company Touch Screen Phones - CRT M11 Gold", "The Phone Company", "Economy", "Touch Screen Phones ", 4, 718.2],
                ["Contoso Maine", "Contoso Touch Screen Phones Capacitive M908 Black", "Contoso, Ltd", "Regular", "Touch Screen Phones ", 9, 2756.6],
                ["Contoso Virginia", "The Phone Company Touch Screen Phones Capacitive M908 Gold", "The Phone Company", "Regular", "Touch Screen Phones ", 9, 2725.8],
                ["Contoso Malta", "The Phone Company Sharp Touch Screen Phones M910 Grey", "The Phone Company", "Regular", "Touch Screen Phones ", 9, 2678.9],
                ["Contoso the Netherlands", "Contoso Private Automatic Branch Exchange M65 Black", "Contoso, Ltd", "Regular", "Home & Office Phones", 9, 343.112],
                ["Contoso Guangdong", "Contoso Sharp Touch Screen Phones M910 Black", "Contoso, Ltd", "Regular", "Touch Screen Phones ", 9, 2663.85],
                ["Contoso the Netherlands", "The Phone Company Touch Screen Phones Capacitive M908 Grey", "The Phone Company", "Regular", "Touch Screen Phones ", 9, 2710.4],
                ["Contoso Alaska", "The Phone Company Touch Screen Phones - LCD M12 Gold", "The Phone Company", "Economy", "Touch Screen Phones ", 4, 800],
                ["Contoso Slovenia", "The Phone Company Touch Screen Phones SAW/On-wall M806 Grey", "The Phone Company", "Regular", "Touch Screen Phones ", 9, 2637],
                ["Contoso Connecticut", "Contoso Private Automatic Branch Exchange M65 Black", "Contoso, Ltd", "Regular", "Home & Office Phones", 9, 343.112],
                ["Contoso Malta", "The Phone Company Touch Screen Phones Infrared M901 Gold", "The Phone Company", "Regular", "Touch Screen Phones ", 18, 5340],
                ["Contoso Massachusetts", "Contoso Private Automatic Branch Exchange M65 Black", "Contoso, Ltd", "Regular", "Home & Office Phones", 9, 345.0615],
                ["Contoso Connecticut", "The Phone Company PDA Phone 3.7 inches M340 Silver", "The Phone Company", "Deluxe", "Smart phones & PDAs ", 9, 2953.5],
                ["Contoso New Jersey", "The Phone Company PDA Palm 4.7 inch L850 Black", "The Phone Company", "Deluxe", "Smart phones & PDAs ", 9, 3562.1],
                ["Contoso Catalog Store", "The Phone Company PDA Wifi 4.7-inch L290 Black", "The Phone Company", "Deluxe", "Smart phones & PDAs ", 9, 3382],
                ["Contoso the Netherlands", "The Phone Company PDA Phone 3.5 inches M320 White", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2661.1],
                ["Contoso Catalog Store", "The Phone Company Sharp Touch Screen Phones M910 Black", "The Phone Company", "Regular", "Touch Screen Phones ", 9, 2693.95],
                ["Contoso Connecticut", "The Phone Company PDA Phone Unlocked 3.5 inches M530 Black", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2412],
                ["Contoso Scotland", "The Phone Company PDA Phone Unlocked 3.5 inches M530 Silver", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2398.6],
                ["Contoso New Jersey", "The Phone Company PDA Wifi 4.7-inch L290 White", "The Phone Company", "Deluxe", "Smart phones & PDAs ", 9, 3344],
                ["Contoso Denmark", "The Phone Company PDA Phone Unlocked 3.5 inches M530 Black", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2412],
                ["Contoso Quebec", "The Phone Company PDA Phone Unlocked 3.7 inches M510 White", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2094.4],
                ["Contoso the Netherlands", "The Phone Company Smart phones 6-LINE SCREEN M21 Gold", "The Phone Company", "Regular", "Smart phones & PDAs ", 9, 2070],
                ["Contoso Guangdong", "The Phone Company Smart phones without camera E100 White", "The Phone Company", "Economy", "Smart phones & PDAs ", 4, 496.65],
                ["Contoso Poland", "Cigarette Lighter Adapter for Contoso Phones E110 Black", "Contoso, Ltd", "Economy", "Cell phones Accessories", 80, 1997.9505],
                ["Contoso Shanghai", "The Phone Company Smart phones without camera E100 Gold", "The Phone Company", "Economy", "Smart phones & PDAs ", 4, 490.2],
                ["Contoso Massachusetts", "Cigarette Lighter Adapter for Contoso Phones E110 Red", "Contoso, Ltd", "Economy", "Cell phones Accessories", 80, 1999.2]
            ]
        }
    },
    ND: {
        subjects: {
            columns: ["Subject", "Year 1", "Year 2", "Year 3"],
            data: [
                ["Geography", 75, 68, 65],
                ["English", 45, 55, 52],
                ["Math", 98, 92, 90],
                ["Science", 66, 60, 72]
            ]
        },
        ampolar: {
            columns: ["Subject", "Year 1", "Year 2", "Year 3", "Year 4"],
            data: [
                ["English", 5, 43, 41, 92],
                ["English II", 17, 43, 83, 93],
                ["English III", 6, 43, 64, 93],
                ["Geography", 7, 45, 52, 83],
                ["Geography II", 16, 73, 52, 83],
                ["Geography III", 26, 83, 11, 72],
                ["Science", 66, 60, 85, 6],
                ["Science II", 46, 20, 53, 7],
                ["Science III", 46, 20, 38, 7],
                ["Math", 98, 30, 23, 13],
                ["Math II", 76, 30, 34, 6],
                ["Math III", 80, 30, 27, 8]
            ]
        },
        fivecolumn: {
            columns: ["Subject", "low", "open", "close", "high"],
            data: [
                ["English", 5, 43, 61, 92],
                ["English II", 7, 23, 83, 93],
                ["English III", 6, 33, 64, 93],
                ["Geography", 7, 45, 52, 83],
                ["Geography II", 6, 73, 52, 83],
                ["Geography III", 6, 23, 71, 82],
                ["Science", 6, 60, 85, 96],
                ["Science II", 16, 20, 53, 77],
                ["Science III", 46, 20, 38, 7],
                ["Math", 8, 30, 43, 63],
                ["Math II", 26, 30, 64, 76],
                ["Math III", 0, 30, 77, 88]
            ]
        },
        random: {
            columns: (colCount: number) => {
                const ret: any = [];
                for (let i = 0; i < colCount; i++) {
                    ret.push(i === 0 ? "Label" : "C" + i);
                }
                return ret;
            },
            data: (categoryCount: number, dataCount: number, min: number, max: number) => {
                min = typeof (min) === "undefined" ? 70 : min;
                max = typeof (max) === "undefined" ? 100 : max;
                let count = 0;
                const arr: any[] = [];
                const rowArr: any = [];
                for (let j = 0; j < categoryCount; j++) {
                    for (let k = 0; k < dataCount; k++) {
                        arr.push(Math.floor(Math.random() * max) + min);
                    }
                }
                // arr = arr.sort(function(a,b){return a > b ? 1 : -1});
                for (let j2 = 0; j2 < categoryCount; j2++) {
                    const row: any[] = [];
                    for (let k2 = 0; k2 < dataCount; k2++) {
                        row.push(k2 === 0 ? j2 : arr[count]);
                        count++;
                    }
                    rowArr.push(row);
                }
                return rowArr;
            }
        }
    },
    Tree: {
        default: {
            data:
            {
                label: "root",
                children: [{
                    label: "A",
                    children: [{
                        label: "AA",
                        children: [{
                            label: "AAA"
                        }]
                    }, {
                        label: "AB",
                        children: [{
                            label: "ABA"
                        }]
                    }]
                }, {
                    label: "B",
                    children: [{
                        label: "BA",
                        children: [{
                            label: "BAA"
                        }]
                    }, {
                        label: "BB"
                    }]
                }]
            }
        },
        flare: {
            data:
            {
                label: "root",
                children: [
                    {
                        label: "analytics",
                        children: [
                            {
                                label: "cluster",
                                children: [
                                    { label: "AgglomerativeCluster", size: 3938 },
                                    { label: "CommunityStructure", size: 3812 },
                                    { label: "HierarchicalCluster", size: 6714 },
                                    { label: "MergeEdge", size: 743 }
                                ]
                            },
                            {
                                label: "graph",
                                children: [
                                    { label: "BetweennessCentrality", size: 3534 },
                                    { label: "LinkDistance", size: 5731 },
                                    { label: "MaxFlowMinCut", size: 7840 },
                                    { label: "ShortestPaths", size: 5914 },
                                    { label: "SpanningTree", size: 3416 }
                                ]
                            },
                            {
                                label: "optimization",
                                children: [
                                    { label: "AspectRatioBanker", size: 7074 }
                                ]
                            }
                        ]
                    },
                    {
                        label: "animate",
                        children: [
                            { label: "Easing", size: 17010 },
                            { label: "FunctionSequence", size: 5842 },
                            {
                                label: "interpolate",
                                children: [
                                    { label: "ArrayInterpolator", size: 1983 },
                                    { label: "ColorInterpolator", size: 2047 },
                                    { label: "DateInterpolator", size: 1375 },
                                    { label: "Interpolator", size: 8746 },
                                    { label: "MatrixInterpolator", size: 2202 },
                                    { label: "NumberInterpolator", size: 1382 },
                                    { label: "ObjectInterpolator", size: 1629 },
                                    { label: "PointInterpolator", size: 1675 },
                                    { label: "RectangleInterpolator", size: 2042 }
                                ]
                            },
                            { label: "ISchedulable", size: 1041 },
                            { label: "Parallel", size: 5176 },
                            { label: "Pause", size: 449 },
                            { label: "Scheduler", size: 5593 },
                            { label: "Sequence", size: 5534 },
                            { label: "Transition", size: 9201 },
                            { label: "Transitioner", size: 19975 },
                            { label: "TransitionEvent", size: 1116 },
                            { label: "Tween", size: 6006 }
                        ]
                    },
                    {
                        label: "data",
                        children: [
                            {
                                label: "converters",
                                children: [
                                    { label: "Converters", size: 721 },
                                    { label: "DelimitedTextConverter", size: 4294 },
                                    { label: "GraphMLConverter", size: 9800 },
                                    { label: "IDataConverter", size: 1314 },
                                    { label: "JSONConverter", size: 2220 }
                                ]
                            },
                            { label: "DataField", size: 1759 },
                            { label: "DataSchema", size: 2165 },
                            { label: "DataSet", size: 586 },
                            { label: "DataSource", size: 3331 },
                            { label: "DataTable", size: 772 },
                            { label: "DataUtil", size: 3322 }
                        ]
                    },
                    {
                        label: "display",
                        children: [
                            { label: "DirtySprite", size: 8833 },
                            { label: "LineSprite", size: 1732 },
                            { label: "RectSprite", size: 3623 },
                            { label: "TextSprite", size: 10066 }
                        ]
                    },
                    {
                        label: "flex",
                        children: [
                            { label: "FlareVis", size: 4116 }
                        ]
                    },
                    {
                        label: "physics",
                        children: [
                            { label: "DragForce", size: 1082 },
                            { label: "GravityForce", size: 1336 },
                            { label: "IForce", size: 319 },
                            { label: "NBodyForce", size: 10498 },
                            { label: "Particle", size: 2822 },
                            { label: "Simulation", size: 9983 },
                            { label: "Spring", size: 2213 },
                            { label: "SpringForce", size: 1681 }
                        ]
                    },
                    {
                        label: "query",
                        children: [
                            { label: "AggregateExpression", size: 1616 },
                            { label: "And", size: 1027 },
                            { label: "Arithmetic", size: 3891 },
                            { label: "Average", size: 891 },
                            { label: "BinaryExpression", size: 2893 },
                            { label: "Comparison", size: 5103 },
                            { label: "CompositeExpression", size: 3677 },
                            { label: "Count", size: 781 },
                            { label: "DateUtil", size: 4141 },
                            { label: "Distinct", size: 933 },
                            { label: "Expression", size: 5130 },
                            { label: "ExpressionIterator", size: 3617 },
                            { label: "Fn", size: 3240 },
                            { label: "If", size: 2732 },
                            { label: "IsA", size: 2039 },
                            { label: "Literal", size: 1214 },
                            { label: "Match", size: 3748 },
                            { label: "Maximum", size: 843 },
                            {
                                label: "methods",
                                children: [
                                    { label: "add", size: 593 },
                                    { label: "and", size: 330 },
                                    { label: "average", size: 287 },
                                    { label: "count", size: 277 },
                                    { label: "distinct", size: 292 },
                                    { label: "div", size: 595 },
                                    { label: "eq", size: 594 },
                                    { label: "fn", size: 460 },
                                    { label: "gt", size: 603 },
                                    { label: "gte", size: 625 },
                                    { label: "iff", size: 748 },
                                    { label: "isa", size: 461 },
                                    { label: "lt", size: 597 },
                                    { label: "lte", size: 619 },
                                    { label: "max", size: 283 },
                                    { label: "min", size: 283 },
                                    { label: "mod", size: 591 },
                                    { label: "mul", size: 603 },
                                    { label: "neq", size: 599 },
                                    { label: "not", size: 386 },
                                    { label: "or", size: 323 },
                                    { label: "orderby", size: 307 },
                                    { label: "range", size: 772 },
                                    { label: "select", size: 296 },
                                    { label: "stddev", size: 363 },
                                    { label: "sub", size: 600 },
                                    { label: "sum", size: 280 },
                                    { label: "update", size: 307 },
                                    { label: "variance", size: 335 },
                                    { label: "where", size: 299 },
                                    { label: "xor", size: 354 },
                                    { label: "_", size: 264 }
                                ]
                            },
                            { label: "Minimum", size: 843 },
                            { label: "Not", size: 1554 },
                            { label: "Or", size: 970 },
                            { label: "Query", size: 13896 },
                            { label: "Range", size: 1594 },
                            { label: "StringUtil", size: 4130 },
                            { label: "Sum", size: 791 },
                            { label: "Variable", size: 1124 },
                            { label: "Variance", size: 1876 },
                            { label: "Xor", size: 1101 }
                        ]
                    },
                    {
                        label: "scale",
                        children: [
                            { label: "IScaleMap", size: 2105 },
                            { label: "LinearScale", size: 1316 },
                            { label: "LogScale", size: 3151 },
                            { label: "OrdinalScale", size: 3770 },
                            { label: "QuantileScale", size: 2435 },
                            { label: "QuantitativeScale", size: 4839 },
                            { label: "RootScale", size: 1756 },
                            { label: "Scale", size: 4268 },
                            { label: "ScaleType", size: 1821 },
                            { label: "TimeScale", size: 5833 }
                        ]
                    },
                    {
                        label: "util",
                        children: [
                            { label: "Arrays", size: 8258 },
                            { label: "Colors", size: 10001 },
                            { label: "Dates", size: 8217 },
                            { label: "Displays", size: 12555 },
                            { label: "Filter", size: 2324 },
                            { label: "Geometry", size: 10993 },
                            {
                                label: "heap",
                                children: [
                                    { label: "FibonacciHeap", size: 9354 },
                                    { label: "HeapNode", size: 1233 }
                                ]
                            },
                            { label: "IEvaluable", size: 335 },
                            { label: "IPredicate", size: 383 },
                            { label: "IValueProxy", size: 874 },
                            {
                                label: "math",
                                children: [
                                    { label: "DenseMatrix", size: 3165 },
                                    { label: "IMatrix", size: 2815 },
                                    { label: "SparseMatrix", size: 3366 }
                                ]
                            },
                            { label: "Maths", size: 17705 },
                            { label: "Orientation", size: 1486 },
                            {
                                label: "palette",
                                children: [
                                    { label: "ColorPalette", size: 6367 },
                                    { label: "Palette", size: 1229 },
                                    { label: "ShapePalette", size: 2059 },
                                    { label: "SizePalette", size: 2291 }
                                ]
                            },
                            { label: "Property", size: 5559 },
                            { label: "Shapes", size: 19118 },
                            { label: "Sort", size: 6887 },
                            { label: "Stats", size: 6557 },
                            { label: "Strings", size: 22026 }
                        ]
                    },
                    {
                        label: "vis",
                        children: [
                            {
                                label: "axis",
                                children: [
                                    { label: "Axes", size: 1302 },
                                    { label: "Axis", size: 24593 },
                                    { label: "AxisGridLine", size: 652 },
                                    { label: "AxisLabel", size: 636 },
                                    { label: "CartesianAxes", size: 6703 }
                                ]
                            },
                            {
                                label: "controls",
                                children: [
                                    { label: "AnchorControl", size: 2138 },
                                    { label: "ClickControl", size: 3824 },
                                    { label: "Control", size: 1353 },
                                    { label: "ControlList", size: 4665 },
                                    { label: "DragControl", size: 2649 },
                                    { label: "ExpandControl", size: 2832 },
                                    { label: "HoverControl", size: 4896 },
                                    { label: "IControl", size: 763 },
                                    { label: "PanZoomControl", size: 5222 },
                                    { label: "SelectionControl", size: 7862 },
                                    { label: "TooltipControl", size: 8435 }
                                ]
                            },
                            {
                                label: "data",
                                children: [
                                    { label: "Data", size: 20544 },
                                    { label: "DataList", size: 19788 },
                                    { label: "DataSprite", size: 10349 },
                                    { label: "EdgeSprite", size: 3301 },
                                    { label: "NodeSprite", size: 19382 },
                                    {
                                        label: "render",
                                        children: [
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                                            { label: "EdgeRenderer", size: 5569 },
                                            { label: "IRenderer", size: 353 },
                                            { label: "ShapeRenderer", size: 2247 }
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                                    { label: "Tree", size: 7147 },
                                    { label: "TreeBuilder", size: 9930 }
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                            },
                            {
                                label: "events",
                                children: [
                                    { label: "DataEvent", size: 2313 },
                                    { label: "SelectionEvent", size: 1880 },
                                    { label: "TooltipEvent", size: 1701 },
                                    { label: "VisualizationEvent", size: 1117 }
                                ]
                            },
                            {
                                label: "legend",
                                children: [
                                    { label: "Legend", size: 20859 },
                                    { label: "LegendItem", size: 4614 },
                                    { label: "LegendRange", size: 10530 }
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                            },
                            {
                                label: "operator",
                                children: [
                                    {
                                        label: "distortion",
                                        children: [
                                            { label: "BifocalDistortion", size: 4461 },
                                            { label: "Distortion", size: 6314 },
                                            { label: "FisheyeDistortion", size: 3444 }
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                                    },
                                    {
                                        label: "encoder",
                                        children: [
                                            { label: "ColorEncoder", size: 3179 },
                                            { label: "Encoder", size: 4060 },
                                            { label: "PropertyEncoder", size: 4138 },
                                            { label: "ShapeEncoder", size: 1690 },
                                            { label: "SizeEncoder", size: 1830 }
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                                    },
                                    {
                                        label: "filter",
                                        children: [
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                                            { label: "GraphDistanceFilter", size: 3165 },
                                            { label: "VisibilityFilter", size: 3509 }
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                                    },
                                    { label: "IOperator", size: 1286 },
                                    {
                                        label: "label",
                                        children: [
                                            { label: "Labeler", size: 9956 },
                                            { label: "RadialLabeler", size: 3899 },
                                            { label: "StackedAreaLabeler", size: 3202 }
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                                    },
                                    {
                                        label: "layout",
                                        children: [
                                            { label: "AxisLayout", size: 6725 },
                                            { label: "BundledEdgeRouter", size: 3727 },
                                            { label: "CircleLayout", size: 9317 },
                                            { label: "CirclePackingLayout", size: 12003 },
                                            { label: "DendrogramLayout", size: 4853 },
                                            { label: "ForceDirectedLayout", size: 8411 },
                                            { label: "IcicleTreeLayout", size: 4864 },
                                            { label: "IndentedTreeLayout", size: 3174 },
                                            { label: "Layout", size: 7881 },
                                            { label: "NodeLinkTreeLayout", size: 12870 },
                                            { label: "PieLayout", size: 2728 },
                                            { label: "RadialTreeLayout", size: 12348 },
                                            { label: "RandomLayout", size: 870 },
                                            { label: "StackedAreaLayout", size: 9121 },
                                            { label: "TreeMapLayout", size: 9191 }
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                                    { label: "Operator", size: 2490 },
                                    { label: "OperatorList", size: 5248 },
                                    { label: "OperatorSequence", size: 4190 },
                                    { label: "OperatorSwitch", size: 2581 },
                                    { label: "SortOperator", size: 2023 }
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                            },
                            { label: "Visualization", size: 16540 }
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    },
    Timeline: {
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            columns: ["Row Label", "Bar Label", "Start", "End"],
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                ["Design", "", "2015-04-03", "2015-05-13"],
                ["Development", "", "2015-05-05", "2015-08-11"],
                ["Testing", "", "2015-07-25", "2015-08-30"],
                ["Release", "", "2015-08-30", "2015-09-03"]
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        }
    },
    TreeMap: {
        default: {
            columns: ["Location", "Parent", "Market trade volume (size)", "Market increase/decrease (color)"],
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                ["Global", "", 0, 0],
                ["America", "Global", 0, 0],
                ["Europe", "Global", 0, 0],
                ["Asia", "Global", 0, 0],
                ["Australia", "Global", 0, 0],
                ["Africa", "Global", 0, 0],
                ["Brazil", "America", 11, 10],
                ["USA", "America", 52, 31],
                ["Mexico", "America", 24, 12],
                ["Canada", "America", 16, -23],
                ["France", "Europe", 42, -11],
                ["Germany", "Europe", 31, -2],
                ["Sweden", "Europe", 22, -13],
                ["Italy", "Europe", 17, 4],
                ["UK", "Europe", 21, -5],
                ["China", "Asia", 36, 4],
                ["Japan", "Asia", 20, -12],
                ["India", "Asia", 40, 63],
                ["Laos", "Asia", 4, 34],
                ["Mongolia", "Asia", 1, -5],
                ["Israel", "Asia", 12, 24],
                ["Iran", "Asia", 18, 13],
                ["Pakistan", "Asia", 11, -52],
                ["Egypt", "Africa", 21, 0],
                ["S. Africa", "Africa", 30, 43],
                ["Sudan", "Africa", 12, 2],
                ["Congo", "Africa", 10, 12],
                ["Zaire", "Africa", 8, 10]
            ]
        }
    },
    Slider: {
        simple: {
            columns: ["Percent"],
            data: [40]
        },
        range: {
            allowRange: true,
            columns: ["Percent"],
            data: [20, 40]
        }
    },
    FAChar: {
        simple: {
            char: ["\uf007"]
        }
    },
    List: {
        simple: {
            data: ["List item 1", "This is Item 2", "List item 3", "This is list item 4", "And finally 5"]
        }
    },
    Text: {
        simple: {
            text: ["Hello\nand\nWelcome!"]
        }
    },
    Surface: {
        simple: {
            title: ["Hello and welcome!"],
            menu: ["aaa", "bbb", "ccc"],
            buttonAnnotations: [{ id: "button_1", label: "\uf010", shape: "square", diameter: 14, padding: "0px 5px", font: "FontAwesome" }, { id: "button_2", label: "\uf00e", shape: "square", diameter: 14, padding: "0px 5px", font: "FontAwesome" }]
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    },
    AbsoluteSurface: {
        simple: {
            widgetX: 25,
            widgetY: 25,
            widgetHeight: "50",
            widgetWidth: "50"
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    },
    Layered: {
        simple: {

        }
    },
    Popup: {
        simple: {

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    },
    HeatMap: {
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        },
        center: {
            columns: ["x", "y", "Weight"],
            data: [[0, 0, 0.5]]
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        floorplan: {
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    Image: {
        floorplan: 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    WordCloud: {
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            columns: ["Word", "Weight"],
            words: ["Myriel", "Napoleon", "Mlle.Baptistine", "Mme.Magloire", "CountessdeLo", "Geborand", "Champtercier", "Cravatte", "Count", "OldMan", "Labarre", "Valjean", "Marguerite", "Mme.deR", "Isabeau", "Gervais", "Tholomyes", "Listolier", "Fameuil", "Blacheville", "Favourite", "Dahlia", "Zephine", "Fantine", "Mme.Thenardier", "Thenardier", "Cosette", "Javert", "Fauchelevent", "Bamatabois", "Perpetue", "Simplice", "Scaufflaire", "Woman1", "Judge", "Champmathieu", "Brevet", "Chenildieu", "Cochepaille", "Pontmercy", "Boulatruelle", "Eponine", "Anzelma", "Woman2", "MotherInnocent", "Gribier", "Jondrette", "Mme.Burgon", "Gavroche", "Gillenormand", "Magnon", "Mlle.Gillenormand", "Mme.Pontmercy", "Mlle.Vaubois", "Lt.Gillenormand", "Marius", "BaronessT", "Mabeuf", "Enjolras", "Combeferre", "Prouvaire", "Feuilly", "Courfeyrac", "Bahorel", "Bossuet", "Joly", "Grantaire", "MotherPlutarch", "Gueulemer", "Babet", "Claquesous", "Montparnasse", "Toussaint", "Child1", "Child2", "Brujon", "Mme.Hucheloup"]
        }
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    Table: {
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            columns: ["Lat", "Long", "Pin"]
        },
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            columns: ["Latitude (Formatted)", "Longitude (Unformatted)", "Longitude (Formatted)", "String", "String (Date formatted)"]
        },
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            columns: ["Label", "Lat", "Long", "Pin", "Forth Column", "Fifth Column", "sixth Column", "Seventh Column", "eighth Column", "Nineth Column", "Tenth Column"]
        }
    },
    Graph: {
        simple: {
            nodes: [
                { name: "John Doe", icon: "" },
                { name: "Jane Doe", icon: "" },
                { name: "123 Main Street", icon: "" }
            ],
            links: [
                { source: 1, target: 0 },
                { source: 2, target: 0 }
            ]
        },
        les_miz: {
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                { name: "Napoleon", group: 1 },
                { name: "Mlle.Baptistine", group: 1 },
                { name: "Mme.Magloire", group: 1 },
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                { name: "Champtercier", group: 1 },
                { name: "Cravatte", group: 1 },
                { name: "Count", group: 1 },
                { name: "OldMan", group: 1 },
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                { name: "Valjean", group: 2 },
                { name: "Marguerite", group: 3 },
                { name: "Mme.deR", group: 2 },
                { name: "Isabeau", group: 2 },
                { name: "Gervais", group: 2 },
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                { name: "Listolier", group: 3 },
                { name: "Fameuil", group: 3 },
                { name: "Blacheville", group: 3 },
                { name: "Favourite", group: 3 },
                { name: "Dahlia", group: 3 },
                { name: "Zephine", group: 3 },
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                { name: "Mabeuf", group: 8 },
                { name: "Enjolras", group: 8 },
                { name: "Combeferre", group: 8 },
                { name: "Prouvaire", group: 8 },
                { name: "Feuilly", group: 8 },
                { name: "Courfeyrac", group: 8 },
                { name: "Bahorel", group: 8 },
                { name: "Bossuet", group: 8 },
                { name: "Joly", group: 8 },
                { name: "Grantaire", group: 8 },
                { name: "MotherPlutarch", group: 9 },
                { name: "Gueulemer", group: 4 },
                { name: "Babet", group: 4 },
                { name: "Claquesous", group: 4 },
                { name: "Montparnasse", group: 4 },
                { name: "Toussaint", group: 5 },
                { name: "Child1", group: 10 },
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        },
        people: {
            nodes: [
                { name: "John Doe", group: 1 }, // 00
                { name: "Jane Doe", group: 1 }, // 11
                { name: "Bob Smith", group: 1 }, // 22
                { name: "Emma Smith", group: 1 }, // 33
                { name: "Olivia Jones", group: 1 }, // 44
                { name: "David Anderson", group: 1 }, // 55
                { name: "Abigail Johnson", group: 1 }, // 66
                { name: "Emily Williams", group: 1 }, // 77
                { name: "Sophia Brown", group: 1 }, // 88
                { name: "Mia Jones", group: 1 }, // 99
                { name: "Noah Miller", group: 1 }, // 100
                { name: "Liam Davis", group: 1 }, // 111
                { name: "Jacob Rodriguez", group: 1 }, // 122
                { name: "Mason Taylor", group: 1 }, // 133
                { name: "Mia Thomas", group: 1 }, // 144
                { name: "Martin Wilson", group: 1 } // 155
            ],
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                { id: "2-D", cur_group: 5, prev_group: 2, delta: 3, cname: "ABC MED", salesrep: "Smith, Andrew", closedate: "11/31/2016", value: "$73,000", optyname: "ABC", prev_value: 4000000, valuenorm: 500000, prevdate: 20160810, curdate: 20160812 },
                { id: "2-E", cur_group: 7, prev_group: 1, delta: 6, cname: "Blue Cross", salesrep: "Smith, Andrew", closedate: "10/31/2016", value: "$1,100,000", optyname: "BCBS", prev_value: 33000, valuenorm: 33000, prevdate: 20160812, curdate: 20161012 },
                { id: "2-F", cur_group: 7, prev_group: 3, delta: 4, cname: "My Health", salesrep: "Smith, Andrew", closedate: "11/30/2016", value: "$250,000", optyname: "My care", prev_value: 400000, valuenorm: 500000, prevdate: 20160812, curdate: 20160812 },
                { id: "2-A", cur_group: 1, prev_group: 2, delta: -1, cname: "PGA LLC", salesrep: "Smith, Andrew", closedate: "12/31/2016", value: "$500,000", optyname: "PGA LLC ", prev_value: 100000, valuenorm: 100000, prevdate: 20160721, curdate: 20160904 }
            ]
        }
    },
    ordinalRange: {
        default: {
            columns: ["Region", "May", "June", "July"],
            data: [
                ["Munster", [1, 11], [2, 14], [8, 18]],
                ["Leinster", [3, 10], [1, 15], ["7", 16]],
                ["Ulster", [2, 14], [5, 12], [8, 17]],
                ["Connacht", [0, 10], [1, 12], [7, 16]]
            ]
        }
    },
    ordinalCandleOHLC: {
        default: {
            columns: ["Region", "May", "June", "July"],
            data: [
                ["Munster", [1, 11], [2, 14], [8, 18]],
                ["Leinster", [3, 10], [1, 15], ["7", 16]],
                ["Ulster", [2, 14], [5, 12], [8, 17]],
                ["Connacht", [0, 10], [1, 12], [7, 16]]
            ]
        }
    },
    linear: {
        default: {
            columns: ["Subject", "2nd Year"],
            data: [
                [10, 75],
                [13, 45],
                [14, 45],
                [15, 85],
                [16, 98],
                [19, 66]
            ]
        }
    },
    scatterLinear: {
        default: {
            columns: ["Data X", "Data Y", "Size"],
            data: [
                [10, 75, 10],
                [20, 45, 12],
                [30, 98, 14],
                [40, 66, 16]
            ]
        }
    },
    timeY: {
        default: {
            columns: ["Subject", "Year 1"],
            data: [
                ["Geography", "2010-07-09"],
                ["English", "2010-07-12"],
                ["Math", null],
                ["Science", "2010-07-21"]
            ]
        }
    },
    timeX: {
        default: {
            columns: ["Date", "Price1", "Price2", "Price3"],
            data: [["2014-05-13T05:35:12", 1553, null, null], ["2014-05-17T21:59:02", null, 1220, null], ["2014-05-21T12:58:46", null, null, 874], ["2014-06-01T07:01:39", 821, null, null], ["2014-06-01T20:40:50", null, 1216, null], ["2014-06-13T22:49:52", null, null, 967], ["2014-06-18T16:21:06", 1324, null, null], ["2014-06-29T07:24:44", null, 1042, null], ["2014-07-02T20:20:52", null, null, 1343], ["2014-07-13T09:36:47", 915, null, null], ["2014-08-03T08:15:25", null, 1326, null], ["2014-08-09T06:02:06", null, null, 1504], ["2014-09-11T10:19:44", 1231, null, null], ["2014-09-13T19:57:59", null, 1271, null], ["2014-09-17T08:59:31", null, null, 1450], ["2014-09-26T19:15:38", 1076, null, null], ["2014-10-08T17:26:41", null, 1041, null], ["2014-10-17T18:37:00", null, null, 1425], ["2014-10-24T08:50:59", 835, null, null], ["2014-11-03T21:34:47", null, 1266, null], ["2014-11-16T15:35:04", null, null, 1557], ["2014-11-18T04:38:21", 972, null, null], ["2014-11-20T09:46:51", null, 1360, null], ["2014-11-27T16:25:57", null, null, 1572], ["2014-12-04T20:41:36", 1503, null, null], ["2014-12-22T19:11:04", null, 1066, null], ["2015-01-07T20:33:03", null, null, 1033], ["2015-01-13T10:43:21", 1089, null, null], ["2015-02-03T17:16:07", null, 998, null], ["2015-02-04T07:17:50", null, null, 1076], ["2015-02-11T17:59:08", 1464, null, null], ["2015-02-15T10:49:48", null, 1015, null], ["2015-02-22T22:04:01", null, null, 1510], ["2015-02-23T22:35:44", 1383, null, null], ["2015-02-27T15:02:35", null, 1263, null], ["2015-02-28T10:08:16", null, null, 1119], ["2015-03-15T07:15:00", 1230, null, null], ["2015-03-17T12:04:38", null, 1109, null], ["2015-03-25T10:55:59", null, null, 1397], ["2015-04-07T13:22:52", 1481, null, null], ["2015-04-14T04:05:10", null, 999, null], ["2015-04-18T00:05:19", null, null, 808], ["2015-05-13T14:32:54", 976, null, null], ["2015-05-16T17:02:17", null, 1136, null], ["2015-05-25T07:47:41", null, null, 1326], ["2015-05-28T02:24:27", 1337, null, null], ["2015-05-30T12:42:11", null, 1336, null], ["2015-05-31T04:19:33", null, null, 1347], ["2015-06-07T23:49:49", 1329, null, null], ["2015-06-19T12:43:51", null, 1350, null], ["2015-06-26T00:22:00", null, null, 1342], ["2015-07-10T20:12:46", 801, null, null], ["2015-07-13T19:13:18", null, 1576, null], ["2015-07-14T13:10:03", null, null, 1285], ["2015-07-15T07:19:39", 1403, null, null], ["2015-07-30T04:01:21", null, 1222, null], ["2015-08-08T18:46:00", null, null, 1084], ["2015-09-01T20:32:23", 928, null, null], ["2015-09-04T21:29:16", null, 1199, null], ["2015-09-11T10:37:50", null, null, 1094], ["2015-09-13T13:46:01", 1088, null, null], ["2015-09-27T04:37:49", null, 1555, null], ["2015-10-05T11:47:54", null, null, 1520], ["2015-10-15T15:13:47", 1052, null, null], ["2015-10-19T15:05:26", null, 1094, null], ["2015-10-25T15:42:48", null, null, 1217], ["2015-11-01T03:18:14", 1424, null, null], ["2015-11-05T12:31:45", null, 1159, null], ["2015-11-09T15:33:56", null, null, 1298], ["2015-11-12T09:03:53", 841, null, null], ["2015-11-19T05:47:16", null, 1278, null], ["2015-11-26T05:03:53", null, null, 1221], ["2015-11-26T06:03:07", 816, null, null], ["2015-11-28T11:35:45", null, 928, null], ["2015-11-30T13:11:22", null, null, 1546], ["2015-12-01T01:33:35", 841, null, null], ["2015-12-02T10:44:32", null, 1250, null], ["2015-12-07T17:03:07", null, null, 1032], ["2015-12-10T03:06:01", 1292, null, null], ["2015-12-13T23:21:16", null, 894, null], ["2015-12-25T23:58:34", null, null, 1356], ["2015-12-26T15:13:48", 1083, null, null], ["2016-01-07T00:48:47", null, 1464, null], ["2016-01-14T18:23:43", null, null, 1088], ["2016-01-17T10:27:12", 941, null, null], ["2016-01-26T16:11:51", null, 1241, null], ["2016-01-31T11:15:52", null, null, 1248], ["2016-02-11T06:53:58", 1525, null, null], ["2016-02-11T07:48:56", null, 1519, null], ["2016-02-18T00:29:49", null, null, 939], ["2016-03-05T04:11:37", 1573, null, null], ["2016-03-17T09:32:59", null, 1382, null], ["2016-03-23T15:54:53", null, null, 911], ["2016-03-29T15:34:22", 1403, null, null], ["2016-04-06T05:54:55", null, 1276, null], ["2016-04-11T08:28:10", null, null, 907], ["2016-04-19T04:09:19", 1331, null, null], ["2016-04-30T09:54:01", null, 1552, null], ["2016-05-02T12:56:47", null, null, 1550], ["2016-05-03T01:05:51", 1164, null, null]]
        }
    },
    ganttDateRanges: {
        default: {
            columns: ["Subject", "Range"],
            data: [
                ["Math", ["2014-05-13", "2014-06-13"]],
                ["English", ["2014-06-13", "2014-07-13"]],
                ["Science", ["2014-07-13", "2014-08-13"]],
                ["Geography", ["2014-08-13", "2014-09-13"]]

                // [ "English", ["2014-05-13", "2014-06-13"] ],
                // [ "English", ["2014-06-13", "2014-07-13"] ],
                // [ "English", ["2014-07-13", "2014-08-13"] ],
                // [ "English", ["2014-10-13", "2014-12-13"] ]
            ]
        },
        test: {
            columns: ["Subject", "Period 1", "Period 2", "Period 3"],
            data: [
                ["Math", ["2014-05-13", "2014-06-13"], ["2014-08-13", "2014-09-13"], ["2014-11-13", "2015-01-13"]],
                ["English", ["2014-05-13", "2014-06-13"], ["2014-08-13", "2014-09-13"], ["2014-11-13", "2015-01-13"]]

            ]
        },
        google: {
            columns: ["Label", "Range", "Duration", "ID", "Resourse", "Completeness", "Dependencies"],
            data: [
                ["Find sources", ["2015-1-1", "2015-1-5"], null, "Research", "", 100, null],
                ["Write paper", ["", "2015-1-9"], 3, "Write", "write", 25, "Research,Outline"],
                ["Create bibliography", ["", "2015-1-7"], 1, "Cite", "write", 20, "Research"],
                ["Hand in paper", ["", "2015-1-10"], 1, "Complete", "complete", 0, "Cite,Write"],
                ["Outline paper", ["", "2015-1-6"], 1, "Outline", "write", 100, "Research"]
            ]
        },
        googleTime: {
            columns: ["Label", "Range", "Duration", "ID", "Resourse", "Completeness", "Dependencies"],
            data: [
                ["Walk to train stop", ["", ""], 15, "toTrain", "walk", 100, null],
                ["Listen to music", ["", ""], 48, "music", "music", 100, null],
                ["Wait for train", ["", ""], 3, "wait", "wait", 100, "toTrain"],
                ["Train ride", ["", ""], 25, "train", "train", 75, "wait"],
                ["Walk to work", ["", ""], 4, "toWork", "walk", 0, "train"],
                ["Sit down at desk", ["", ""], 1, "work", null, 0, "toWork"]

            ]
        }
    }
};