added doubling time, graph color tweaks
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df22e3c79f
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100
generate.js
100
generate.js
@ -154,23 +154,66 @@ const processGlobalDeaths = async () => {
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// return record['Country/Region'] === 'US';
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// });
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const getGrowthRate = (record) => {
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const ts = record.timeSeriesDaily;
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const len = ts.length;
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const getRollingAverage = (item) => {
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return item.timeSeriesDaily.map((item, i, arr) => {
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const prevValues = arr.slice(Math.max(0, i - 6), i);
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const valueAverage = (item.value + prevValues.reduce((sum, next) => sum + next.value, 0)) / (1 + prevValues.length);
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const deltaAverage = (item.delta + prevValues.reduce((sum, next) => sum + next.delta, 0)) / (1 + prevValues.length);
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return {
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key: item.key,
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value: Math.round(valueAverage),
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delta: Math.round(deltaAverage),
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};
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});
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};
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const getDoublingTime = (item) => {
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return item.timeSeriesDaily.map((item, i, arr) => {
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const prevItems = arr.slice(Math.max(i - 7, 0), i);
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const sum = prevItems.reduce((sum, next) => sum + next.value, 0);
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let value;
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if (sum < 10) {
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value = 0;
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} else {
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const growthRate = calcGrowthRate(arr, i, 7);
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if (growthRate <= 0 || !growthRate) {
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value = 0;
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} else {
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value = (Math.log(2) / Math.log(1 + growthRate));
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}
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}
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return {
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key: item.key,
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value: Math.round(value * 10) / 10,
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};
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});
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};
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const calcGrowthRate = (ts, i, range) => {
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const items = ts.slice(Math.max(0, i - range), i + 1);
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const len = items.length;
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if (len < 2) {
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return 0;
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}
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const latest = len - 1;
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const earliest = Math.max(len - 14, 0);
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const pow = 1/(latest - earliest + 1);
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const hi = ts[latest].value;
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const lo = Math.max(ts[earliest].value, 0.5);
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const earliest = 0;
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const pow = 1 / (latest - earliest + 1);
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const hi = items[latest].value;
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const lo = Math.max(items[earliest].value, 0.5);
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if (hi === 0 && lo < 1) {
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return 0;
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}
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return Math.pow((hi / lo), pow) - 1;
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};
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const getGrowthRate = (record) => {
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return calcGrowthRate(record.timeSeriesDaily, record.timeSeriesDaily.length - 1, 7);
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};
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// state/county data is separated for the US and doesn't need to be rolled up
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tsUSRecords.forEach((usRecord) => {
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const newRecord = {
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@ -442,19 +485,9 @@ const processGlobalDeaths = async () => {
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}),
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};
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stateItem.rollingAverageDaily = stateItem.timeSeriesDaily.map((item, i, arr) => {
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const prevValues = arr.slice(Math.max(0, i - 6), i);
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const valueAverage = (item.value + prevValues.reduce((sum, next) => sum + next.value, 0)) / (1 + prevValues.length);
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const deltaAverage = (item.delta + prevValues.reduce((sum, next) => sum + next.delta, 0)) / (1 + prevValues.length);
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return {
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key: item.key,
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value: Math.round(valueAverage),
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delta: Math.round(deltaAverage),
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};
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});
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stateItem.deathGrowthRate = getGrowthRate(stateItem);
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stateItem.rollingAverageDaily = getRollingAverage(stateItem);
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stateItem.doublingDaily = getDoublingTime(stateItem);
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// insert into states array for the country
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perCountryTotals[item.country].states.push(stateItem);
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@ -492,19 +525,9 @@ const processGlobalDeaths = async () => {
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}),
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};
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countryItem.rollingAverageDaily = countryItem.timeSeriesDaily.map((item, i, arr) => {
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const prevValues = arr.slice(Math.max(0, i - 6), i);
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const valueAverage = (item.value + prevValues.reduce((sum, next) => sum + next.value, 0)) / (1 + prevValues.length);
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const deltaAverage = (item.delta + prevValues.reduce((sum, next) => sum + next.delta, 0)) / (1 + prevValues.length);
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return {
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key: item.key,
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value: Math.round(valueAverage),
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delta: Math.round(deltaAverage),
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};
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});
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countryItem.deathGrowthRate = getGrowthRate(countryItem);
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countryItem.rollingAverageDaily = getRollingAverage(countryItem);
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countryItem.doublingDaily = getDoublingTime(countryItem);
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return countryItem;
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});
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@ -554,19 +577,10 @@ const processGlobalDeaths = async () => {
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};
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});
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worldData.rollingAverageDaily = worldData.timeSeriesDaily.map((item, i) => {
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const prevValues = worldData.timeSeriesDaily.slice(Math.max(0, i - 6), i);
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const valueAverage = (item.value + prevValues.reduce((sum, next) => sum + next.value, 0)) / (1 + prevValues.length);
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const deltaAverage = (item.delta + prevValues.reduce((sum, next) => sum + next.delta, 0)) / (1 + prevValues.length);
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return {
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key: item.key,
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value: Math.round(valueAverage),
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delta: Math.round(deltaAverage),
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};
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});
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worldData.deathGrowthRate = getGrowthRate(worldData);
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worldData.rollingAverageDaily = getRollingAverage(worldData);
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worldData.doublingDaily = getDoublingTime(worldData);
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worldData.population = 7781841000;
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worldData.deathsPerMillion = worldData.total / worldData.population * 1000000;
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@ -22,6 +22,16 @@ html
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}
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script.
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Chart.pluginService.register({
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beforeDraw: (chart) => {
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const ctx = chart.chart.ctx;
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ctx.save();
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ctx.fillStyle = 'white';
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ctx.fillRect(0, 0, chart.width, chart.height);
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ctx.restore();
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}
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});
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const charts = {
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logarithmic: false,
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heroChart: null,
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@ -90,7 +100,7 @@ html
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axis.type = 'logarithmic';
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const maxLogPower = Math.ceil(Math.log10(charts.heroMaxValue));
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axis.ticks.max = Math.pow(10, maxLogPower);
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axis.ticks.callback = value => Number(value.toString());
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axis.ticks.callback = value => Number(value.toString()).toLocaleString();
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} else {
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axis.type = 'linear';
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delete axis.ticks.max;
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@ -114,7 +124,7 @@ html
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axis.type = 'logarithmic';
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const maxLogPower = Math.ceil(Math.log10(data.maxValue));
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axis.ticks.max = Math.pow(10, maxLogPower);
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axis.ticks.callback = value => Number(value.toString());
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axis.ticks.callback = value => Number(value.toString()).toLocaleString();
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} else {
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axis.type = 'linear';
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delete axis.ticks.max;
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@ -125,9 +135,8 @@ html
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});
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}
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function makeHeroChart(id, title, labels, totalDeaths, newDeaths, rollingAverage) {
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function makeHeroChart(id, title, labels, totalDeaths, newDeaths, rollingAverage, doubling) {
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const canvas = document.getElementById(id);
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charts.heroMaxValue = totalDeaths[totalDeaths.length - 1];
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charts.heroChart = new Chart(canvas.getContext('2d'), {
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@ -157,6 +166,14 @@ html
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fill: false,
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borderColor: 'rgb(96, 96, 96, 0.25)',
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borderWidth: 1,
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},
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{
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label: 'Days to 2x',
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data: doubling,
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fill: false,
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borderColor: 'rgb(187,40,193, 0.5)',
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borderWidth: 2,
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pointRadius: 0,
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}
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],
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},
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@ -183,7 +200,7 @@ html
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beginAtZero: true,
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min: 0,
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max: Math.pow(10, Math.ceil(Math.log10(charts.heroMaxValue))),
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callback: value => Number(value.toString())
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callback: value => Number(value.toString()).toLocaleString(),
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},
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afterBuildTicks: (axis, ticks) => {
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if (axis.type === 'logarithmic') {
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@ -254,6 +271,7 @@ html
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!{JSON.stringify(data.timeSeriesDaily.map(x => x.value))},
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!{JSON.stringify(data.timeSeriesDaily.map(x => x.delta))},
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!{JSON.stringify(data.rollingAverageDaily.map(x => x.delta))},
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!{JSON.stringify(data.doublingDaily.map(x => x.value))},
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);
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mixin dataTable(items, label, type)
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