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template.html
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<html>
<head>
<meta charset="utf-8">
<title>JPCERT/CC Incident Handling Statistics</title>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha384-+0n0xVW2eSR5OomGNYDnhzAbDsOXxcvSN1TPprVMTNDbiYZCxYbOOl7+AMvyTG2x" crossorigin="anonymous">
<link rel="stylesheet" href="https://cdn.datatables.net/1.12.0/css/jquery.dataTables.min.css" integrity="sha384-1acln9x8L/qLiaGGA71iWpzCKwZpGAPXErmVAFNPf2k/3GYOsLOZfQ3+0uxxFtM5" crossorigin="anonymous">
<style>
[id*="chart--wrapper"] {{
max-width: 100%;
position: relative;
padding-top: 30%;
min-height: 300px;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
-webkit-font-kerning: normal;
font-kerning: normal;
font-family: "Helvetica Neue","Roboto","ヒラギノ角ゴ ProN", "Hiragino Kaku Gothic ProN","游ゴシック体","Yu Gothic", YuGothic, Verdana, Meiryo, sans-serif !important;
}}
[id*="chart--wrapper"] svg {{
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
}}
.axis .domain{{
stroke: #ccc;
position: relative;
}}
.axis .tick line{{
stroke: #ccc;
}}
.axis .tick text{{
fill: #223F4B;
font-family: "Helvetica Neue","Roboto","ヒラギノ角ゴ ProN", "Hiragino Kaku Gothic ProN","游ゴシック体","Yu Gothic", YuGothic, Verdana, Meiryo, sans-serif !important;
font-size: 0.7rem;
}}
.chart--tooltip {{
position: absolute;
width: auto;
height: auto;
padding: 10px 15px;
border-radius: 4px;
/* color: #fff; */
background: rgba(255,255,255,.95);
-webkit-box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1);
-moz-box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1);
box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1);
visibility: hidden;
font-size: 12px;
font-weight: bold;
max-width: 160px;
}}
</style>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.min.js" integrity="sha384-Atwg2Pkwv9vp0ygtn1JAojH0nYbwNJLPhwyoVbhoPwBhjQPR5VtM2+xf0Uwh9KtT" crossorigin="anonymous"></script>
<script src="https://d3js.org/d3.v5.min.js"></script>
<script src="https://unpkg.com/[email protected]/build/d3-interpolate-path.min.js"></script>
</head>
<body>
<nav class="navbar navbar-light bg-light shadow">
<div class="container-fluid">
<span class="navbar-brand ml-3 mb-0">
<img
src="data:image/png;base64,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"
width="450">
</span>
</div>
</nav>
<div class="container-fluid">
<div class="row">
<div class="col-sm-12 col-md-12 m-3">
<div class="text-center"><b>Change in the number of incident reports</b></div>
<div id="chart--wrapper-report"></div>
<div class="text-center"><b>Change in the number of incident cases coordinated</b></div>
<div id="chart--wrapper-coordinate"></div>
<div class="text-center"><b>Change in the number of phishing sites</b></div>
<div id="chart--wrapper-phishing"></div>
<div class="text-center"><b>Change in the number of website defacements</b></div>
<div id="chart--wrapper-web"></div>
<div class="text-center"><b>Change in the number of malware sites</b></div>
<div id="chart--wrapper-malware"></div>
<div class="text-center"><b>Change in the number of scans</b></div>
<div id="chart--wrapper-scan"></div>
<div class="text-center"><b>Change in the number of DoS</b></div>
<div id="chart--wrapper-dos"></div>
<div class="text-center"><b>Change in the number of APT</b></div>
<div id="chart--wrapper-apt"></div>
<div class="text-center"><b>Change in the number of others</b></div>
<div id="chart--wrapper-other"></div>
</div>
</div>
</div>
<script>
function writelineChart(data, selectId){{
const contents = d3.select(selectId);
const svg = contents.append("svg");
const tooltip = d3.select("body").append("div").attr("class", "chart--tooltip");
const padding = 45;
let color = d3.rgb("#85a7cc");
let dataset = data;
let x,y,xScale,yScale,width,height,line,path,area,lineArea,linearGradient,focus,focusLine,focusPoint,overlay;
let isAnimate = false;
let isInit = false;
let timeparser = d3.timeParse("%Y%m");
let format = d3.timeFormat("%Y/%m");
const bisectDate = d3.bisector(function(d) {{ return d.date; }}).left;
const lineChart = {{
initialize : function(){{
dataset = dataset.map(function(d){{
return {{ date: timeparser(d.date), value:d.value }} ;
}});
this.rendar();
this.update();
isInit = true;
this.animate();
this.resize();
this.setTooltip();
this.mouseEvent();
}},
rendar : function(){{
path = svg.append("path");
lineArea = svg.append("path");
x = svg.append("g")
.attr("class", "axis axis-x");
y = svg.append("g")
.attr("class", "axis axis-y");
focus = svg.append("g")
.attr("class", "focus")
.style("visibility","hidden")
focusLine = focus.append("line");
focusPoint = focus.append("circle")
.attr("r", 4)
.attr("fill", "#fff")
.attr("stroke", color)
.attr("stroke-width",2)
overlay = svg.append("rect");
}},
update : function () {{
width = contents.node().clientWidth - padding;
height = contents.node().clientHeight - padding;
this.addScales(false);
this.addLine();
this.addArea();
}},
resize:function(){{
let self = this;
window.addEventListener("resize",function () {{
self.update();
}})
}},
getLine: function(){{
if(!isInit){{
return d3.line()
.x(function(d) {{ return xScale(d.date); }})
.y(yScale(0))
}}else{{
return d3.line()
.x(function(d) {{ return xScale(d.date); }})
.y(function(d) {{ return yScale(d.value); }})
}}
}},
getArea: function(){{
if(!isInit){{
return d3.area()
.x(function(d) {{ return xScale(d.date); }})
.y1(yScale(0))
.y0(yScale(0))
}}else{{
return d3.area()
.x(function(d) {{ return xScale(d.date); }})
.y1(function(d) {{ return yScale(d.value); }})
.y0(yScale(0))
}}
}},
addScales : function(animation){{
let xTicks = (window.innerWidth < 768) ? 6: 12;
xScale = d3.scaleTime()
.domain([
d3.min(dataset, function(d){{return d.date;}}),
d3.max(dataset, function(d){{return d.date;}})
])
.range([padding, width]);
yScale = d3.scaleLinear()
.domain([
0,
d3.max(dataset, function(d){{return d.value;}})
])
.range([height, padding]);
axisx = d3.axisBottom(xScale)
.ticks(xTicks)
.tickFormat(format);
axisy = d3.axisLeft(yScale)
if(!animation){{
x.attr("transform", "translate(" + 0 + "," + (height) + ")")
.call(axisx);
y.attr("transform", "translate(" + padding + "," + 0 + ")")
.call(axisy)
}}else{{
x.attr("transform", "translate(" + 0 + "," + (height) + ")")
.transition()
.duration(1500)
.ease(d3.easeExpInOut)
.call(axisx);
y.attr("transform", "translate(" + padding + "," + 0 + ")")
.transition()
.duration(1500)
.ease(d3.easeExpInOut)
.call(axisy)
}}
}},
addLine :function(){{
line = this.getLine();
path
.datum(dataset)
.attr("fill", "none")
.attr("stroke", color)
.attr("stroke-width", 2)
.attr("stroke-dashoffset", 0)
.attr("stroke-dasharray", 0)
.attr("d", line)
}},
addArea : function(){{
area = this.getArea();
lineArea
.datum(dataset)
.attr("d",area)
.style("fill", "url(#linear-gradient)")
}},
setTooltip:function(){{
overlay
.style("fill", "none")
.style("pointer-events", "all")
.attr("class", "overlay")
.attr("width", width)
.attr("height", height)
focusLine
.style("stroke","#ccc")
.style("stroke-width","1px")
.style("stroke-dasharray","2")
.attr("class", "x-hover-line hover-line")
.attr("y1", padding)
.attr("y2", height)
}},
mouseEvent:function(){{
overlay.on("mousemove",this.handleMouseMove)
.on("mouseout",this.handleMouseOut)
}},
handleMouseMove : function(){{
if(!isAnimate){{
let x0 = xScale.invert(d3.mouse(this)[0]),
i = bisectDate(dataset, x0, 1),
d0 = dataset[i - 1],
d1 = dataset[i],
d = x0 - d0.date > d1.date - x0 ? d1 : d0;
let format = d3.timeFormat("%Y/%m");
let tooltipY = (d3.event.pageY - 40);
let tooltipX = (d3.event.pageX + 20);
if(( window.innerWidth - 160 ) < tooltipX){{
tooltipX = (d3.event.pageX - 200);
}}
tooltip
.html("")
.style("visibility", "visible")
.style("top", tooltipY + "px")
.style("left", tooltipX + "px")
tooltip
.append("div")
.attr("class","tooltip--time")
.html(format(d.date) +'<br>' + d.value)
focus
.style("visibility","visible")
.attr("transform", "translate(" + xScale(d.date) + "," + 0 + ")");
focusPoint.attr("transform", "translate(" + 0 + "," + yScale(d.value) + ")")
}}
}},
handleMouseOut : function (d, i) {{
tooltip.style("visibility", "hidden");
focus.style("visibility","hidden");
}},
animate:function(){{
let self = this;
let dLine0 = path.attr("d");
let dArea0 = lineArea.attr("d");
self.addScales(true);
let dLine1 = self.getLine();
let dArea1 = self.getArea();
isAnimate = true;
path
.attr("d", dLine0)
.transition()
.duration(1000)
.ease(d3.easeExpInOut)
.attrTween('d', function () {{
return d3.interpolatePath(dLine0, dLine1(dataset));
}});
lineArea.attr("d", dArea0)
.transition()
.delay(50)
.duration(1000)
.ease(d3.easeExpInOut)
.attrTween('d', function () {{
return d3.interpolatePath(dArea0, dArea1(dataset));
}})
.on("end",function () {{
isAnimate = false;
}})
self.setTooltip();
}}
}};
lineChart.initialize();
}};
let dataset_report = {data_report};
let dataset_coordinate = {data_coordinate};
let dataset_phishing = {data_phishing};
let dataset_web = {data_web};
let dataset_malware = {data_malware};
let dataset_scan = {data_scan};
let dataset_dos = {data_dos};
let dataset_apt = {data_apt};
let dataset_other = {data_other};
writelineChart(dataset_report, '#chart--wrapper-report');
writelineChart(dataset_coordinate, '#chart--wrapper-coordinate');
writelineChart(dataset_phishing, '#chart--wrapper-phishing');
writelineChart(dataset_web, '#chart--wrapper-web');
writelineChart(dataset_malware, '#chart--wrapper-malware');
writelineChart(dataset_scan, '#chart--wrapper-scan');
writelineChart(dataset_dos, '#chart--wrapper-dos');
writelineChart(dataset_apt, '#chart--wrapper-apt');
writelineChart(dataset_other, '#chart--wrapper-other');
</script>
</body>
</html>