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Fix
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@@ -68,21 +68,47 @@ const avgBouncingRate = computed(() => {
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return avg.toFixed(2) + ' %';
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})
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function weightedAverage(data: number[]): number {
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if (data.length === 0) return 0;
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// Compute median
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const sortedData = [...data].sort((a, b) => a - b);
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const middle = Math.floor(sortedData.length / 2);
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const median = sortedData.length % 2 === 0
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? (sortedData[middle - 1] + sortedData[middle]) / 2
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: sortedData[middle];
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// Define a threshold (e.g., 3 times the median) to filter out extreme values
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const threshold = median * 3;
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const filteredData = data.filter(num => num <= threshold);
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if (filteredData.length === 0) return median; // Fallback to median if all are removed
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// Compute weights based on inverse absolute deviation from median
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const weights = filteredData.map(num => 1 / (1 + Math.abs(num - median)));
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// Compute weighted sum and sum of weights
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const weightedSum = filteredData.reduce((sum, num, i) => sum + num * weights[i], 0);
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const sumOfWeights = weights.reduce((sum, weight) => sum + weight, 0);
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return weightedSum / sumOfWeights;
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}
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const avgSessionDuration = computed(() => {
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if (!sessionsDurationData.data.value) return '0.00 %'
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const counts = sessionsDurationData.data.value.data
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.filter(e => e > 0)
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// .filter(e => e > 0)
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.reduce((a, e) => e + a, 0);
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const avg = counts / (Math.max(sessionsDurationData.data.value.data.filter(e => e > 0).length, 1)) / 5;
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const avg = weightedAverage(sessionsDurationData.data.value.data);
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// counts / (Math.max(sessionsDurationData.data.value.data.length, 1));
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let hours = 0;
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let minutes = 0;
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let seconds = 0;
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seconds += avg * 60;
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while (seconds > 60) { seconds -= 60; minutes += 1; }
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while (minutes > 60) { minutes -= 60; hours += 1; }
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while (seconds >= 60) { seconds -= 60; minutes += 1; }
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while (minutes >= 60) { minutes -= 60; hours += 1; }
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return `${hours > 0 ? hours + 'h ' : ''}${minutes}m ${seconds.toFixed()}s`
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});
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