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distribution_plots.html
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<!DOCTYPE html>
<html>
<head>
<title>Distribution Plots</title>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/css/bootstrap.css">
<style>
body {
width: 1300px;
padding: 20px;
margin:0 auto;
font-size:10pt;
color: #333;
}
.title_head {
background-color: #BEF781;
padding: 5px;
text-align: center;
font-size: 28px;
font-weight: 10;
}
div.fixed-row {
width: 1300px;
}
div.half-plot {
width: 600px;
height: 500px;
}
div.full-plot {
width: 1300px;
height: 800px;
}
div.square-plot {
width: 1300px;
height: 1100px;
}
</style>
<script src="https://cdn.plot.ly/plotly-latest.js"></script>
<!-- generated by fund_parser.py -->
<script src="fund_content.js"></script>
<!-- generated by survey_parser.py -->
<script src="score_content.js"></script>
<!-- generated by user_parser.py -->
<script src="user_content.js"></script>
<script>
window.onload = updatePage;
// Plotly mode bar config for big
var plotlyConfigBig = {
displayModeBar: true,
modeBarButtonsToRemove: [
'sendDataToCloud',
'zoom2d', 'pan2d',
'select2d', 'lasso2d',
'zoomIn2d', 'zoomOut2d',
'autoScale2d', 'resetScale2d',
'toggleSpikelines',
'hoverClosestCartesian',
'hoverCompareCartesian'
]/*,
modeBarButtonsToAdd: [{
name: 'Download PNG Image',
icon: Plotly.Icons.camera,
click: function(gd) {
Plotly.downloadImage(gd, {format: 'png', width:1537, height:850, scale:5})
}
}]*/
};
// Plotly mode bar config for half
var plotlyConfigSquare = {
displayModeBar: true,
modeBarButtonsToRemove: [
'sendDataToCloud',
'zoom2d', 'pan2d',
'select2d', 'lasso2d',
'zoomIn2d', 'zoomOut2d',
'autoScale2d', 'resetScale2d',
'toggleSpikelines',
'hoverClosestCartesian',
'hoverCompareCartesian'
]/*,
modeBarButtonsToAdd: [{
name: 'Download SVG Image',
icon: Plotly.Icons.camera,
click: function(gd) {
Plotly.downloadImage(gd, {format: 'png', width:1159, height:1150, scale:2})
}
}]*/
};
// Main caller function to generate the plots
function updatePage(){
var userArray = userInfoString.split("\n");
var usrAffFac = Array.apply(null, Array(userAffListEng.length)).map(x => Array.apply(null, Array(userFacListEng.length)).map(Number.prototype.valueOf, 0));
// Go through each pi list and compile stat
for (var p=1; p<userArray.length; p++){
var pCol = userArray[p].split("\t");
//Use in platform order
var pAffInd = userAffListEng.indexOf(pCol[2]);
if (pAffInd == -1 || isNaN(pAffInd)){console.log("Aff: " + pCol[2] + pAffInd);}
var pFacInd = userFacListEng.indexOf(pCol[3]);
if (pFacInd == -1 || isNaN(pFacInd)){console.log("Fac: " + pCol[3] + pFacInd);}
usrAffFac[pAffInd][pFacInd] += 1;
};
// Make affliation vs facility plot
makeAffliationFacilityPlot("plt-affFac-chart", usrAffFac, userAffLabelEng, userFacLabelEng, "Figure 12. Distribution of users 2019");
// Make funding bar
makeFundBar("fund-bar-chart", fundStat, "Figure 8. Distribution of funding across SciLifeLab facilities in 2019");
// Make score bar
makeScoreBar("score-bar-chart", scoreObject, "Figure 15. Facility user survey avg satisfaction score");
// Make fund and pub scatter
makeFundScatter("funding-pub", fundStat, "pub", "Total Funding (log10)", "Publications (log10)", true, "Figure 10. Total funding vs publications 2019");
};
/*
PLOTING FUNCTIONS
*/
// Function to make affliation vs facility stat plot
function makeAffliationFacilityPlot(divID, dataArray, afAb, fcAb, fName){
var mCol = ["#1E3F32", "#01646B", "#4f9b74", "#80C41C", "#1b918d", "378CAF", "#468365", "#AECE53", "#87B0AB", "#AEC69C", "#819e90", "#B1B0B1", "#1E3F32", "#01646B", "#4f9b74", "#80C41C", "#1b918d",];
var data = [];
for (var r=0; r < dataArray.length; r++){
var marker_text = [];
var marker_size = [];
var trace = {x:[], y:[], mode:'markers', type:'scatter'};
for (var c=0; c < dataArray[r].length; c++){
if (dataArray[r][c] > 0) {
trace['x'].push(c+1);
trace['y'].push(r+1);
marker_size.push(getMarkerSize(dataArray[r][c]));
marker_text.push(dataArray[r][c] + ' ' + afAb[r]);
};
};
trace['marker'] = {
size: marker_size,
color: mCol[r]
/* colorscale: "Greens",
reversesclae: true,
showscale: true */
};
trace['text'] = marker_text;
trace['name'] = afAb[r];
trace['hoverinfo'] = "x+text";
data.push(trace);
};
var layout = {
/*title: {
text: gTitle,
font: {family: "Arial", size: 26}
},*/
showlegend: false,
xaxis: {
title: {
text: "Facilities",
font: { family: "Arial", size: 18 }
},
tickvals: Array.from({length: fcAb.length}, (x,i) => i+1),
ticktext: fcAb,
tickfont: { family: "Arial", size: 16 },
tickangle: -40,
zerolinecolor: "#6E6E6E",
domain: [0.12, 1]
},
yaxis: {
title: {
text: "Affiliation",
font: { family: "Arial", size: 18 }
},
tickvals: Array.from({length: afAb.length}, (x,i) => i+1),
ticktext: afAb,
tickfont: { family: "Arial", size: 16 },
tickangle: -40,
zerolinecolor: "#6E6E6E",
domain: [0.20, 1.5]
}
};
Plotly.newPlot(divID, data, layout, Object.assign({toImageButtonOptions: { format: 'png', filename: fName, width:1537, height:850, scale: 3}}, plotlyConfigBig));
};
function getMarkerSize(point){
if (point == 0){
return 0;
} else {
return (Math.sqrt(point) * 4) + 5;
}
};
// Make fund bar plot
function makeFundBar(divID, fList, fName="new_plot"){
var fNam = fList.map(x => x.fname);
var data = [
{
type: 'bar',
x: fNam,
y: fList.map(x => x.ofund),
name: "Other funding",
hoverinfo: 'none',
marker: {color: "#378CAF"}
},
{
type: 'bar',
x: fNam,
y: fList.map(x => x.ufund),
name: "University funding",
hoverinfo: 'none',
marker: {color: "#A48FA9"}
},
{
type: 'bar',
x: fNam,
y: fList.map(x => x.sfund),
name: "SciLifeLab funding",
hoverinfo: 'none',
marker: {color: "#80C41C"}
}
];
var layout = {
/*title: {
text: "Facility Funding",
font: {family: "Arial", size: 26}
},*/
barmode: 'stack',
xaxis: {
tickvals: Array.from({length: fNam.length}, (x,i) => i),
ticktext: fNam,
tickfont: { family: "Arial", size: 17 },
tickangle: -40,
zerolinecolor: "#6E6E6E",
domain: [0.09, 1]
},
yaxis: {
title: {
text: "SEK",
font: {family: "Arial", size: 22}
},
domain: [0.35, 1]
},
legend: {
font: {family: "Arial", size: 21},
x: 0.85,
bordercolor: "#5a5c60",
borderwidth: 0.4
}
};
Plotly.newPlot(divID, data, layout, Object.assign({toImageButtonOptions: { format: 'png', filename: fName, width:1537, height:850, scale: 3}}, plotlyConfigBig));
}
// Make fund bar plot
function makeScoreBar(divID, sObj, fName){
var fNam = sObj.fnames;
var data = [
{
type: 'bar',
x: fNam,
y: sObj.qscore,
name: "Quality",
hoverinfo: 'none',
marker: {color: "#80C41C"}
},
{
type: 'bar',
x: fNam,
y: sObj.sscore,
name: "Service",
hoverinfo: 'none',
marker: {color: "#A48FA9"},
yaxis: 'y2'
},
{
type: 'bar',
x: fNam,
y: sObj.iscore,
name: "Importance",
hoverinfo: 'none',
marker: {color: "#378CAF"},
yaxis: 'y3'
}
];
var layout = {
/*title: {
text: "Facility Funding",
font: {family: "Arial", size: 26}
},
barmode: 'stack',*/
xaxis: {
tickvals: Array.from({length: fNam.length}, (x,i) => i),
ticktext: fNam,
tickfont: { family: "Arial", size: 16 },
tickangle: -40,
zerolinecolor: "#6E6E6E",
domain: [0.065, 1]
},
grid: {
rows: 3,
columns: 1,
subplots:[['xy'], ['xy2'], ['xy3']],
roworder: "bottom to top"
},
yaxis: {
/*title: {
text: "Quality",
font: {family: "Arial", size: 19}
},*/
domain: [0.28, 0.50],
range: [1,5],
nticks: 5
},
yaxis2: {
domain: [0.53, 0.75],
range: [1,5],
nticks: 5
},
yaxis3: {
domain: [0.78, 1],
range: [1,5],
nticks: 5
},
legend: {
traceorder: "reversed",
font: {family: "Arial", size: 17},
x: 0.395,
y: 1.1,
bordercolor: "#5a5c60",
borderwidth: 0.4,
orientation: 'h'
}
};
Plotly.newPlot(divID, data, layout, Object.assign({toImageButtonOptions: { format: 'png', filename: fName, width:1537, height:850, scale: 3}}, plotlyConfigBig));
}
function makeFundScatter(divID, fLis, oNam, xNam, yNam, noZero, fName){
var fList = [...fLis];
fList.splice(22, 1);
console.log(fList);
var tFund = fList.map(x => Math.log10(x.tfund));
var allPlt = ['Genomics', 'Drug Discovery and Development',
'Diagnostics Development', 'Proteomics and Metabolomics', 'Bioinformatics',
'Cellular and Molecular Imaging', 'Chemical Biology and Genome Engineering'];
//var pltCol = ["#1E3F32", "#01646B", "#4D4D4D", "#AECE53", "#80C41C", "#378CAF", "#468365", "#AEC69C"];
//var pltCol = ["#1E3F32", "#ad6ee5", "#3d4799", "#dbb134", "#80C41C", "#378CAF", "#ebed74", "#ea6a3f"];
var pltCol = ["#1E3F32", "#ad6ee5", "#dbb134", "#80C41C", "#378CAF", "#ebed74", "#ea6a3f"];
var data = [];
for (var p=0; p<allPlt.length; p++){
var pData = getPlatformObj(fList, allPlt[p], oNam, noZero);
//console.log(pData);
var trace = {x: pData.x,
y: pData.y,
name: allPlt[p],
text: pData.fnm,
textfont: {family: "Arial", size: 8},
textposition: 'top center',
type: 'scatter',
mode: 'markers',
marker: {color: pltCol[p], size: 35, opacity:0.85}
};
data.push(trace);
}
var layout = {
/*title: {
text: "Total funding VS FTE",
font: {family: "Arial", size: 26}
},*/
xaxis: {
title: {
text: xNam,
font: {family: "Arial", size: 27}
},
tickfont: { family: "Arial", size: 25 },
domain: [0.02, 1]
},
yaxis: {
title: {
text: yNam,
font: {family: "Arial", size: 27}
},
zeroline: false,
domain: [0.03, 0.97],
tickfont: { family: "Arial", size: 25 }
},
legend: {
y: 1.08,
xanchor: "center",
orientation: "h",
font: {family: "Arial", size: 23}
}
};
Plotly.newPlot(divID, data, layout, Object.assign({toImageButtonOptions: { format: 'png', filename: fName, width:1159, height:1150, scale: 3}}, plotlyConfigSquare));
}
/*
HELPER FUNCTIONS
*/
// Get objects by platform
function getPlatformObj(oList, plt, oKey, nZer){
var oData = {x:[], y:[], fnm:[]};
for (var l=0; l<oList.length; l++){
if (oList[l].plat == plt){
if(oList[l][oKey] > 0){
oData.x.push(Math.log10(oList[l].tfund));
oData.y.push(Math.log10(oList[l][oKey]));
oData.fnm.push(oList[l].fname);
} else if (nZer == false){
oData.x.push(Math.log10(oList[l].tfund));
oData.y.push(0);
oData.fnm.push(oList[l].fname);
}
}
}
return oData;
}
</script>
</head>
<body>
<div>
<p class="title_head">Facility and Affiliation distribution 2019</p>
<div id="plt-affFac-chart" class="full-plot"></div>
</div>
<div>
<p class="title_head">Distribution of funding SciLifeLab facilities 2019</p>
<div id="fund-bar-chart" class="full-plot"></div>
</div>
<div>
<p class="title_head">Satisfaction score of facilities 2018</p>
<div id="score-bar-chart" class="full-plot"></div>
</div>
<div>
<p class="title_head">Total funding vs publications for SciLifeLab facilities 2019</p>
<div id="funding-pub" class="full-plot"></div>
</div>
<script src="https://code.jquery.com/jquery-3.3.1.slim.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/popper.js/1.14.3/umd/popper.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.1.3/js/bootstrap.js"></script>
</body>
</html>