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Improve analytics #75
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Pull Request Overview
This pull request improves analytics functionality by adding new device type and peak hours tracking capabilities, enhances the visual presentation of analytics data with percentage displays and growth indicators, and updates marketing copy for better clarity.
- Enhanced analytics with device type detection and peak hours analysis
- Improved UI with percentage calculations, growth indicators, and better visual styling
- Updated marketing copy for clarity and consistency
Reviewed Changes
Copilot reviewed 3 out of 3 changed files in this pull request and generated 5 comments.
File | Description |
---|---|
apps/web/pages/pages/[page_id]/analytics.tsx | Major analytics enhancements including device type detection, peak hours analysis, growth calculations, and improved StatsTable UI |
apps/web/pages/pages/index.tsx | Minor styling update to border color for consistency |
apps/web/pages/index.tsx | Marketing copy improvements for better clarity and conciseness |
Comments suppressed due to low confidence (1)
apps/web/pages/pages/[page_id]/analytics.tsx:44
- [nitpick] The variable name 'device' is too generic. Consider renaming to 'deviceType' for better clarity.
const device = getDeviceType(row.user_agent);
const deviceCounts = {}; | ||
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data?.forEach((row) => { | ||
const device = getDeviceType(row.user_agent); | ||
deviceCounts[device] = (deviceCounts[device] || 0) + 1; | ||
}); | ||
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return Object.entries(deviceCounts) | ||
.map(([device, count]) => ({ | ||
data_name: device, | ||
data_count: count as number, |
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Consider using a Map or adding type annotation for deviceCounts to improve type safety and maintainability.
const deviceCounts = {}; | |
data?.forEach((row) => { | |
const device = getDeviceType(row.user_agent); | |
deviceCounts[device] = (deviceCounts[device] || 0) + 1; | |
}); | |
return Object.entries(deviceCounts) | |
.map(([device, count]) => ({ | |
data_name: device, | |
data_count: count as number, | |
const deviceCounts = new Map<string, number>(); | |
data?.forEach((row) => { | |
const device = getDeviceType(row.user_agent); | |
deviceCounts.set(device, (deviceCounts.get(device) || 0) + 1); | |
}); | |
return Array.from(deviceCounts.entries()) | |
.map(([device, count]) => ({ | |
data_name: device, | |
data_count: count, |
Copilot uses AI. Check for mistakes.
const hourCounts = {}; | ||
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data?.forEach((row) => { | ||
const hour = new Date(row.created_at).getHours(); | ||
const hourLabel = `${hour.toString().padStart(2, '0')}:00 - ${(hour + 1).toString().padStart(2, '0')}:00`; | ||
hourCounts[hourLabel] = (hourCounts[hourLabel] || 0) + 1; | ||
}); | ||
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return Object.entries(hourCounts) | ||
.map(([hour, count]) => ({ | ||
data_name: hour, | ||
data_count: count as number, |
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Consider using a Map or adding type annotation for hourCounts to improve type safety and maintainability.
const hourCounts = {}; | |
data?.forEach((row) => { | |
const hour = new Date(row.created_at).getHours(); | |
const hourLabel = `${hour.toString().padStart(2, '0')}:00 - ${(hour + 1).toString().padStart(2, '0')}:00`; | |
hourCounts[hourLabel] = (hourCounts[hourLabel] || 0) + 1; | |
}); | |
return Object.entries(hourCounts) | |
.map(([hour, count]) => ({ | |
data_name: hour, | |
data_count: count as number, | |
const hourCounts = new Map<string, number>(); | |
data?.forEach((row) => { | |
const hour = new Date(row.created_at).getHours(); | |
const hourLabel = `${hour.toString().padStart(2, '0')}:00 - ${(hour + 1).toString().padStart(2, '0')}:00`; | |
hourCounts.set(hourLabel, (hourCounts.get(hourLabel) || 0) + 1); | |
}); | |
return Array.from(hourCounts.entries()) | |
.map(([hour, count]) => ({ | |
data_name: hour, | |
data_count: count, |
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} | ||
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// Component to render icons based on type | ||
const MetricIcon = ({ iconType }: { iconType: string }) => { |
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The MetricIcon component is defined but never used in the code. Consider removing it or implementing its usage to avoid dead code.
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</div> | ||
</td> | ||
<td className="whitespace-nowrap px-3 py-4 text-sm text-gray-500 dark:text-gray-400 w-20"> | ||
{data_count.toLocaleString()} |
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Potential type mismatch: data_count may not always be a number. The toLocaleString() method should be called on a number, but data_count could be a string from the stats array.
{data_count.toLocaleString()} | |
{Number(data_count).toLocaleString()} |
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