PHP Dosya Yöneticisi

$(document).ready(function() {
    var xScale = new Plottable.Scales.Time();
    var xAxis = new Plottable.Axes.Numeric(xScale, "bottom");
    xAxis.formatter(Plottable.Formatters.multiTime());
    var yScale = new Plottable.Scales.Linear();
    var yAxis = new Plottable.Axes.Numeric(yScale, "left");
    var colorScale = new Plottable.Scales.Color();

var series1 = new Plottable.Dataset(makeSeriesData(1000), { name: "series1" });
    var series2 = new Plottable.Dataset(makeSeriesData(1000), { name: "series2" });

var pzi = new Plottable.Interactions.PanZoom(xScale, null);
    pzi.attachTo(plot);

var output = d3.select("#hoverFeedback");
    var outputDefaultText = "Closest:";
    output.text(outputDefaultText);

var chart = new Plottable.Components.Table([
        [yAxis, plot          ],
        [null , xAxis         ],
        [null , miniChart     ],
        [null , sparklineXAxis]
    ]);
    chart.rowWeight(2, 0.2);
    chart.renderTo("#plottable-finance");

$(document).ready(function() {
    var xScale = new Plottable.Scales.Time();
    var yScale = new Plottable.Scales.Linear();
    var colorScale = new Plottable.Scales.Color();

var xAxis = new Plottable.Axes.Time(xScale, "bottom");
    var yAxis = new Plottable.Axes.Numeric(yScale, "left");
    var yLabel = new Plottable.Components.AxisLabel("Temperature (ºF)", -90);

var legend = new Plottable.Components.Legend(colorScale).maxEntriesPerRow(3);
    var plots = new Plottable.Components.Group();
    var panZoom = new Plottable.Interactions.PanZoom(xScale, null);
    panZoom.attachTo(plots);

var table = new Plottable.Components.Table([
        [null, legend],
        [yAxis, plots],
        [null, xAxis]
    ]);

table.renderTo("svg#plottable-weather");

d3.tsv("data/plottable/data.tsv", function(error, data) {
        var parseDate = d3.time.format("%Y%m%d").parse;
        var cityNames = d3.keys(data[0]).filter(function(key) { return key !== "date"; });
        var cities = cityNames.map(function(name) {
            return data.map(function(d) {
                return { date: parseDate(d.date), temperature: +d[name], name: name};
            });
        });

cities.forEach(function(city) {
            plots.append(new Plottable.Plots.Line()
                .addDataset(new Plottable.Dataset(city))
                .x(function(d) { return d.date; }, xScale)
                .y(function(d) { return d.temperature; }, yScale)
                .attr("stroke", colorScale.scale(city[0].name))
                .attr("stroke-width", 1)
            );
        });
    });
});

$(document).ready(function() {
    var parseTime = function(dateString) {
        return new Date(dateString);
    };
    var xScale = new Plottable.Scales.Time();
    var yScale = new Plottable.Scales.Category();
    var xAxis = new Plottable.Axes.Time(xScale, "bottom")
        .margin(5)
        .annotationsEnabled(true);

var fillColorScale = new Plottable.Scales.Color()
        .domain(["USA", "USSR"])
        .range(["#0052A5", "#FF2400"]);

var legend = new Plottable.Components.Legend(fillColorScale);
    var title = new Plottable.Components.TitleLabel("Space Race", 0)
        .yAlignment("top");

var guideline = new Plottable.Components.GuideLineLayer("vertical")
        .scale(xScale);

var group = new Plottable.Components.Group([guideline, timeline, legend, title]);
    var table = new Plottable.Components.Table([[group],
        [xAxis]]);
    table.renderTo("svg#plottable-space-race");

new Plottable.Interactions.PanZoom(xScale, null)
        .attachTo(timeline)
        .minDomainExtent(xScale, 1000 * 60 * 60 * 24 * 365)
        .maxDomainExtent(xScale, 1000 * 60 * 60 * 24 * 365 * 20)
    ;

new Plottable.Interactions.Pointer()
        .attachTo(table)
        .onPointerMove(function(p) {
            var entity = timeline.entityNearest(p);
            var date = parseTime(entity.datum.date);
            guideline.value(date);
            xAxis.annotatedTicks([date]);
            title.text(entity.datum.event);
        })
        .onPointerExit(function() {
            guideline.pixelPosition(-10);
            xAxis.annotatedTicks([]);
            title.text("Space Race");
        })
    ;

d3.json("data/plottable/spacerace.json", function(e, d) {
        var dataset = new Plottable.Dataset(d);
        timeline.addDataset(dataset);
    });
});

$(document).ready(function() {
    var data = [
        { "start": "4/1/2015 9:00:00", "end": "4/1/2015 9:30:00", "task": "Planning" },
        { "start": "4/1/2015 9:30:00", "end": "4/1/2015 10:30:00", "task": "Development" },
        { "start": "4/1/2015 10:30:00", "end": "4/1/2015 10:45:00", "task": "QE" }
    ];

var colorScale = new Plottable.Scales.Color();

var xScale = new Plottable.Scales.Time();
    var xAxis = new Plottable.Axes.Time(xScale, "bottom");

var yScale = new Plottable.Scales.Category();
    var yAxis = new Plottable.Axes.Category(yScale, "left");

var chart = new Plottable.Components.Table([
        [yAxis, plot],
        [null, xAxis]
    ]);

chart.renderTo("svg#plottable-gantt-chart");
});

$(document).ready(function() {
    var data = [];
    for (var i = 1; i < 184; i++) {
        data.push({
            date: new Date(2015, 0, i),
            val: 1.5 * Math.random() - 0.5
        });
    }

var daysOfWeek = ["Sun", "Mon", "Tue", "Wed", "Thu", "Fri", "Sat"];
    var months = ["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"];

// Gets the date of the top left square in the calendar, i.e. the first Sunday on / before Jan 1
    function getFirstDisplayableSunday(date) {
        return new Date(
            date.getFullYear(),
            0,
            1 - new Date(date.getFullYear(), 0, 1).getDay()
        );
    }

function getWeekOfTheYear(date) {
        var firstSunday = getFirstDisplayableSunday(date);
        var diff = date - firstSunday;
        var oneDay = 1000 * 60 * 60 * 24;
        return Math.floor(Math.ceil(diff / oneDay) / 7);
    }

var xScale = new Plottable.Scales.Category();
    var yScale = new Plottable.Scales.Category();
    yScale.domain(daysOfWeek);

var xAxis = new Plottable.Axes.Category(xScale, "bottom");
    var yAxis = new Plottable.Axes.Category(yScale, "left");
    xAxis.formatter(monthFormatter());

var colorScale = new Plottable.Scales.InterpolatedColor();
    colorScale.domain([0,1]);
    colorScale.range(["#eee", "#d6e685", "#8cc665", "#44a340", "#1e6823"]);

var plot = new Plottable.Plots.Rectangle()
        .addDataset(new Plottable.Dataset(data))
        .x(function(d) { return [d.date.getFullYear(), getWeekOfTheYear(d.date)] }, xScale)
        .y(function(d) { return daysOfWeek[d.date.getDay()] }, yScale)
        .attr("fill", function(d) { return d.val; }, colorScale)
        .attr("stroke", "#fff")
        .attr("stroke-width", 2);

var plotHighlighter = new Plottable.Plots.Rectangle()
        .addDataset(new Plottable.Dataset(data))
        .x(function(d) { return [d.date.getFullYear(), getWeekOfTheYear(d.date)] }, xScale)
        .y(function(d) { return daysOfWeek[d.date.getDay()] }, yScale)
        .attr("fill", "black")
        .attr("fill-opacity", 0);

var group = new Plottable.Components.Group([plot, plotHighlighter]);

var table = new Plottable.Components.Table([
        [yAxis, group],
        [null,  xAxis]
    ]);

table.renderTo("svg#plottable-calendar-heatmap");
});

$(document).ready(function() {
    var profitData = [ {x: "profit", y: 0.23} ];
    var profitThresholds = [
        {x: "profit", stage: 0, low: 0,    high: 0.20},
        {x: "profit", stage: 1, low: 0.20, high: 0.25},
        {x: "profit", stage: 2, low: 0.25, high: 0.30}
    ];

var usersData = [ {x: "newCust", y: 1600} ];
    var usersThresholds = [
        {x: "newCust", stage: 0, low: 0,    high: 1500},
        {x: "newCust", stage: 1, low: 1500, high: 2000},
        {x: "newCust", stage: 2, low: 2000, high: 2500}
    ];

var salaryData = [ {x: "revenue", y: 280000} ];
    var salaryThresholds = [
        {x: "revenue", stage: 0, low: 0,      high: 150000},
        {x: "revenue", stage: 1, low: 150000, high: 225000},
        {x: "revenue", stage: 2, low: 225000, high: 300000}
    ];

var salesData = [ {x: "sales", y: 280} ];
    var salesThresholds = [
        {x: "sales", stage: 0, low: 0,   high: 350},
        {x: "sales", stage: 1, low: 350, high: 500},
        {x: "sales", stage: 2, low: 500, high: 600}
    ];

function createChart(data, thresholds, formatter, title) {
        var xScale = new Plottable.Scales.Category();
        var xScaleBg = new Plottable.Scales.Category();
        var yScale = new Plottable.Scales.Linear()
            .domain([thresholds[0].low, thresholds[thresholds.length - 1].high]);

var colorScale = new Plottable.Scales.InterpolatedColor()
            .range(["#9ac3f9", "#E3F2FD"]);

var barPlot = new Plottable.Plots.Bar()
            .x(function(d) { return d.x; }, xScale)
            .y(function(d) { return d.y; }, yScale)
            .attr("fill", "#25383C")
            .addDataset(new Plottable.Dataset(data));

var yAxis = new Plottable.Axes.Numeric(yScale, "left")
            .formatter(formatter);

var group = new Plottable.Components.Group([bandPlot, barPlot]);
        var title = new Plottable.Components.TitleLabel(title);

return new Plottable.Components.Table([
            [null,  title],
            [yAxis, group]
        ]);
    }

var table = new Plottable.Components.Table([[
        createChart(profitData, profitThresholds, new Plottable.Formatters.percentage(), "Profit"),
        createChart(usersData, usersThresholds, new Plottable.Formatters.general(), "Users"),
        createChart(salaryData, salaryThresholds, new Plottable.Formatters.currency(0), "Salary"),
        createChart(salesData, salesThresholds, new Plottable.Formatters.currency(), "Sales")
    ]]);

table.renderTo("svg#plottable-bullet-graph");
});

İptal

📁 PHP Dosya Yöneticisi

📝 plottable-init.js

📝 plottable-init.js

📝 Yeniden Adlandır

🔐 Dosya İzinleri (chmod)