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trend_forecast.html
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trend_forecast.html
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<!doctype html>
<html>
<head>
<title>Combo Bar-Line Chart</title>
<script src="node_modules/Chart.js/dist/Chart.bundle.js"></script>
<script src="utils.js"></script>
<link href="noUiSlider.9.0.0/nouislider.min.css" rel="stylesheet">
<style>
canvas {
-moz-user-select: none;
-webkit-user-select: none;
-ms-user-select: none;
}
</style>
</head>
<body>
<div style="width: 75%">
<canvas id="canvas"></canvas>
</div>
<button id="randomizeData"> Randomize Data </button>
<div id="decider">nu</div>
<script>
function initiliazeData(db) {
for(var k=0; k<30; k++)
{
var day = []
for(var j=0; j <24; j+=2)
{
day.push(Math.abs(randomScalingFactor()))
}
db.push(day)
}
}
var trend_db = []
initiliazeData(trend_db);
document.getElementById('decider').innerHtml += 'Neutral';
var prediction_db = []
var current_time = 24
var chartData = {
datasets: [{
type: 'line',
label: 'Current Trend',
borderColor: window.chartColors.blue,
borderWidth: 2,
fill: false,
data: [{
x: 9,
y: trend_db[0][0]
}, {
x: 10,
y: trend_db[0][1]
}, {
x: 11,
y: trend_db[0][2]
}, {
x: 12,
y: trend_db[0][3]
}, {
x: 13,
y: trend_db[0][4]
},{
x: 14,
y: trend_db[0][5]
},{
x: 15,
y: trend_db[0][6]
},{
x: 16,
y: trend_db[0][7]
},{
x: 17,
y: trend_db[0][8]
},{
x: 18,
y: trend_db[0][9]
},{
x: 20,
y: trend_db[0][10]
},{
x: 22,
y: trend_db[0][11]
},{
x: 24,
y: trend_db[0][12]
}]
}, {
type: 'line',
label: 'Current Trend',
borderColor: window.chartColors.yellow,
borderWidth: 2,
fill: false,
data: [{
x: 11,
y: Math.abs(randomScalingFactor())
}, {
x: 12,
y: Math.abs(randomScalingFactor())
}, {
x: 13,
y: Math.abs(randomScalingFactor())
}, {
x: 14,
y: Math.abs(randomScalingFactor())
}, {
x: 15,
y: Math.abs(randomScalingFactor())
},{
x: 16,
y: Math.abs(randomScalingFactor())
},{
x: 17,
y: Math.abs(randomScalingFactor())
},{
x: 18,
y: Math.abs(randomScalingFactor())
},{
x: 19,
y: Math.abs(randomScalingFactor())
},{
x: 20,
y: Math.abs(randomScalingFactor())
},{
x: 21,
y: Math.abs(randomScalingFactor())
},{
x: 22,
y: Math.abs(randomScalingFactor())
},{
x: 23,
y: Math.abs(randomScalingFactor())
},{
x: 24,
y: Math.abs(randomScalingFactor())
},{
x: 25,
y: Math.abs(randomScalingFactor())
}, {
x: 26,
y: Math.abs(randomScalingFactor())
}
] }
]
};
window.onload = function() {
var ctx = document.getElementById("canvas").getContext("2d");
window.myMixedChart = new Chart(ctx, {
type: 'line',
data: chartData,
options: {
scales: {
xAxes: [{
type: 'linear',
position: 'bottom'
}]
}
}
});
};
function findProjctedAverage(hour) {
var average = 0
for(var i = 0; i< trend_db.length; i++)
{
average += trend_db[0][hour]/trend_db.length
}
return average
}
function refreshGraph(){
current_time++
trend_db.push(Math.abs(randomScalingFactor()));
var i = current_time-16
var j = 0;
console.log(trend_db[0][(i+1)])
console.log(findProjctedAverage(current_time))
console.log(current_time)
chartData.datasets.forEach(
function(dataset) {
dataset.data = dataset.data.map(function() {
return {
x: (i+1) +j,
y: trend_db[0][(i+1)]* Math.abs(j-1) + findProjctedAverage(current_time)*j
};
i+=2;
});
j+=2;
window.myMixedChart.update();
});
}
//setInterval(refreshGraph, 5000)
document.getElementById('randomizeData').addEventListener('click', refreshGraph)
/*function() {
chartData.datasets.forEach(function(dataset) {
var i = current_time
dataset.data = dataset.data.map(function() {
return {
x: i+=2,
y: Math.abs(randomScalingFactor())
};
});
});
window.myMixedChart.update();
});*/-16
</script>
</body>
</html>