31:T43e,viewof view = { let result = embed({ data: { values:bins['$1'] }, vconcat : [{ width : 600, height : 500, selection : { brush : { type : 'interval', encodings : ["x"], mark : { fill :"#fdbb84", fillOpacity : 0.5, storke : '#e34a33'} } }, mark : { type: 'point', opacity: 1, size : 2, tooltip : null, clip : true }, encoding: { x:{field:'TRQUEUEDTIME', type:'temporal', scale : { domain : {selection : 'brush2'}} }, y:{field:'norm_DT', type:'quantitative', scale : { domain : [0, 45]}} } }, { width : 600, height : 80, mark : { type : 'point', opacity : 1, size : 1, tooltip : null, clip : true}, selection : { brush2 : { type : 'interval', encodings : ['x'] } }, encoding: { x:{field:'TRQUEUEDTIME', type:'temporal'}, y:{field:'norm_DT', type:'quantitative', scale : { domain : [0, 45]}} } } ] }); return result; }32:T4ba,embed({ layer : [{ // data: {values:bins['$0']}, // data: {values:selectedData}, data: {values:sampleStats.sample}, width: 800, height: 300, mark : {type :'bar', clip : true}, encoding: { x:{bin:{"maxbins": 80}, field:'DT', type:'quantitative',scale:{domain:[0,2500]}}, y:{aggregate:'count', type:'quantitative'} } }, { "data": { "values": [ {"ThresholdValue": 0/*dtStats.outlierThreshold*/, "Threshold": "hazardous"} ] }, "layer": [{ "mark": "rule", "encoding": { "x": {"field": "ThresholdValue", "type": "quantitative"} }, "color":{"value":"red"}, "size": {"value": 5} }, { "mark": { "type": "text", "align": "right", "dx": -2, "dy": -4 }, "encoding": { "x": { "field": "ThresholdValue", "type": "quantitative" }, "y": { "value": "height" }, "text": {"field": "Threshold", "type": "ordinal"} } }] }] } );33:T4d4,data = { let rawData = await d3.tsv(dataUrl/*, { headers: { 'Contents-Type' : 'application/tsv', 'Access-Control-Allow-Origin' : true } }*/); rawData = rawData.filter(r=>r['LOADEDTIME'] && r['TT_lowerbound']); rawData.forEach(function(d) { ['TT_lowerbound'].forEach( function(propertyName) { d[propertyName] = +d[propertyName]; }); d['DT'] = +d['DT']; ['LOADEDTIME', 'LOADINGTIME', 'TRQUEUEDTIME', 'UNLOADASSIGNTIME', 'UNLOADEDTIME', 'UNLOADINGTIME'].forEach( function(propertyName) { // d['RAW_' + propertyName] = d[propertyName]; d[propertyName] = moment(d[propertyName], 'YYYYMMDDHHmmss').toDate(); }); d['DT'] = (d['LOADEDTIME'].getTime() - d['TRQUEUEDTIME'].getTime()) / 1000; d['TT_lowerbound'] = d['TT_lowerbound'] + unloadLoadCompensation d['norm_DT'] = d['DT'] / d['TT_lowerbound']; /* let tempMoment = moment(d['CMDTIME']); d['CMDTIME_ofDay'] = tempMoment.hours() + tempMoment.minutes() / 60 + tempMoment.seconds() / 3600;*/ }); /* for(var r of rawData) { }*/ rawData.sort((a, b) => a['TRQUEUEDTIME'].getTime() - b['TRQUEUEDTIME'].getTime()); return rawData; }; 34:[] 2f:{"title":"dt crossfilter normalized release","cells":[{"id":807,"value":"md`# dt crossfilter normalized release`","pinned":false,"hidden":false,"mode":"ojs"},{"id":328,"value":"md `\n

\n$ npm config set proxy http://12.26.226.2:8080\n\n$ npm config set strict-ssl false\n\nhttp-server d:/dev/fileserver/ --cors='*'\n

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":480,"value":"$31","pinned":false,"hidden":false,"mode":"ojs"},{"id":574,"value":"viewof view2 = {\n let json = { data: {values:bins['$0']}, \n width : 400,\n height : 800,\n mark : { type: 'rect', clip : true, tooltip : null },\n selection : {\n brush : { type : 'interval', encodings : [\"y\"] }\n }, \n encoding: {\n x:{bin:{maxbins:120},field:'norm_DT', type:'quantitative', scale:{domain:[0,45]}}, \n y:{bin:{maxbins:200},field:'TRQUEUEDTIME', type:'temporal'},\n color:{aggregate:'count', type:'quantitative', legend:{title:null, orient:'bottom-right'}}\n },\n config: {\n \"view\": {\n \"stroke\": \"transparent\"\n }\n }\n };\n return null; \n// return embed(json);\n} ","pinned":false,"hidden":false,"mode":"ojs"},{"id":997,"value":"viewof updateButton = {\n const form = html`

range	${moment(arg.range[0]).format('hh:mm:ss')} ~ ${moment(arg.range[1]).format('hh:mm:ss')} / ${numeral(moment.duration(moment(arg.range[1]).diff(moment(arg.range[0]))).as('hours')).format('0.0')} hours
faultyTrRatio	${arg.outliers.length} / ${arg.sample.length} = ${numeral(arg.faultyTrRatio).format('0.0%')}
faultyTrLossSum	${numeral(arg.faultyTrLossAverage).format('0,0.0')}
trLossExpectation	${numeral(arg.trLossExpectation).format('0,0.0')}
faultyTrLossSum	${numeral(arg.faultyTrLossSum).format('0,0.0')}
worstTr	DT = ${arg.outliers[0]['DT']}, norm_DT = ${numeral(arg.outliers[0]['norm_DT']).format('0,0.0')}