New Stats Page

[RobOBrien]

No description provided.

[conductor-codes]

Suggested change

	<button
	onClick={() => {
	setSelectedDifficulty('all');
	setSelectedSortMethod('views');
	}}
	style={{
	padding: '8px 16px',
	backgroundColor: '#0969da',
	color: 'white',
	border: 'none',
	borderRadius: '6px',
	cursor: 'pointer',
	}}>
	<span className="icon">↺</span>
	</button>
	<button
	aria-label="Reset filters"
	onClick={() => {
	setSelectedDifficulty('all');
	setSelectedSortMethod('views');
	}}
	style={{
	padding: '8px 16px',
	backgroundColor: '#0969da',
	color: 'white',
	border: 'none',
	borderRadius: '6px',
	cursor: 'pointer',
	}}>
	<span className="icon">↺</span>
	</button>

This button does not have an accessible name, which means screen readers won't be able to convey its purpose to users. To fix this, you can add an aria-label that describes the action clearly. In this case, since it resets filters, a label like "Reset filters" would work well.

Review by Conductor

Is this review helpful? React 👍 or 👎 to let us know!

[conductor-codes]

Suggested change

	<img
	src="/images/meta-gradient.png"
	style={{height: '3px', width: '50%'}}
	/>
	<img
	src="/images/meta-gradient.png"
	alt=""
	width="600"
	height="3"
	style={{ height: '3px', width: '50%' }}
	/>

The img element is missing width and height attributes. This can cause layout shifts (CLS) as the browser renders the page, especially if the image loads after the initial layout. Provide explicit dimensions or use CSS aspect-ratio to reserve space. Since the image appears decorative (a gradient line), consider using CSS for this effect or provide appropriate dimensions if it conveys meaning.

Review by Conductor

Is this review helpful? React 👍 or 👎 to let us know!

[conductor-codes]

Suggested change

	const processedData = pageViewData
	// Filter by sections (based on the first segment of the path)
	.filter((page) => {
	const pageSection = page.path.split('/')[1];
	return sections.includes(pageSection);
	})
	// Filter by difficulty if specified
	.filter((page) => {
	return (
	selectedDifficulty === 'all' || page.difficulty === selectedDifficulty
	);
	})
	// Optionally filter out outdated content
	.filter((page) => {
	if (includeOutdated) return true;
	const lastUpdated = new Date(page.lastUpdated);
	const sixMonthsAgo = new Date();
	sixMonthsAgo.setMonth(sixMonthsAgo.getMonth() - 6);
	return lastUpdated > sixMonthsAgo;
	})
	// Apply metric thresholds
	.filter((page) => {
	if (minimumViews > 0 && page.views < minimumViews) return false;
	if (
	minimumCompletionRate > 0 &&
	page.completionRate < minimumCompletionRate / 100
	)
	return false;
	return true;
	})
	// Compute an engagement score for demonstration purposes
	.map((page) => {
	const viewsNorm = Math.min(page.views / 250000, 1);
	const completionNorm = page.completionRate;
	const timeSpentNorm = Math.min(page.avgTimeSpent / 600, 1);
	// Freshness factor computed from last update date
	const lastUpdated = new Date(page.lastUpdated);
	const monthsOld = (new Date() - lastUpdated) / (30 * 24 * 60 * 60 * 1000);
	const freshnessScore = Math.max(0, 1 - monthsOld / 24);
	// Difficulty multiplier for weighting
	let difficultyMultiplier = 1;
	if (page.difficulty === 'beginner') difficultyMultiplier = 0.9;
	if (page.difficulty === 'intermediate') difficultyMultiplier = 1.0;
	if (page.difficulty === 'advanced') difficultyMultiplier = 1.2;
	// Compute weighted engagement score
	const engagementScore =
	(0.4 * viewsNorm +
	0.3 * completionNorm +
	0.2 * timeSpentNorm +
	0.1 * Math.pow(freshnessScore, 2)) *
	difficultyMultiplier;
	return {
	...page,
	engagementScore,
	};
	})
	// Sort the computed results
	.sort((a, b) => {
	let comparison = 0;
	if (selectedSortMethod === 'views') {
	comparison = b.views - a.views;
	} else if (selectedSortMethod === 'completion') {
	comparison = b.completionRate - a.completionRate;
	} else if (selectedSortMethod === 'timeSpent') {
	comparison = b.avgTimeSpent - a.avgTimeSpent;
	} else if (selectedSortMethod === 'engagement') {
	comparison = b.engagementScore - a.engagementScore;
	} else if (selectedSortMethod === 'lastUpdated') {
	comparison = new Date(b.lastUpdated) - new Date(a.lastUpdated);
	}
	return sortOrder === 'desc' ? comparison : -comparison;
	})
	// Limit the results to displayLimit entries.
	.slice(0, displayLimit);
	const processedData = useMemo(() =>
	pageViewData
	// Filter by sections (based on the first segment of the path)
	.filter((page) => {
	const pageSection = page.path.split('/')[1];
	return sections.includes(pageSection);
	})
	// Filter by difficulty if specified
	.filter((page) => {
	return (
	selectedDifficulty === 'all' || page.difficulty === selectedDifficulty
	);
	})
	// Optionally filter out outdated content
	.filter((page) => {
	if (includeOutdated) return true;
	const lastUpdated = new Date(page.lastUpdated);
	const sixMonthsAgo = new Date();
	sixMonthsAgo.setMonth(sixMonthsAgo.getMonth() - 6);
	return lastUpdated > sixMonthsAgo;
	})
	// Apply metric thresholds
	.filter((page) => {
	if (minimumViews > 0 && page.views < minimumViews) return false;
	if (
	minimumCompletionRate > 0 &&
	page.completionRate < minimumCompletionRate / 100
	)
	return false;
	return true;
	})
	// Compute an engagement score for demonstration purposes
	.map((page) => {
	const viewsNorm = Math.min(page.views / 250000, 1);
	const completionNorm = page.completionRate;
	const timeSpentNorm = Math.min(page.avgTimeSpent / 600, 1);
	const lastUpdated = new Date(page.lastUpdated);
	const monthsOld = (new Date() - lastUpdated) / (30 * 24 * 60 * 60 * 1000);
	const freshnessScore = Math.max(0, 1 - monthsOld / 24);
	let difficultyMultiplier = 1;
	if (page.difficulty === 'beginner') difficultyMultiplier = 0.9;
	if (page.difficulty === 'intermediate') difficultyMultiplier = 1.0;
	if (page.difficulty === 'advanced') difficultyMultiplier = 1.2;
	const engagementScore =
	(0.4 * viewsNorm +
	0.3 * completionNorm +
	0.2 * timeSpentNorm +
	0.1 * Math.pow(freshnessScore, 2)) *
	difficultyMultiplier;
	return {
	...page,
	engagementScore,
	};
	})
	// Sort the computed results
	.sort((a, b) => {
	let comparison = 0;
	if (selectedSortMethod === 'views') {
	comparison = b.views - a.views;
	} else if (selectedSortMethod === 'completion') {
	comparison = b.completionRate - a.completionRate;
	} else if (selectedSortMethod === 'timeSpent') {
	comparison = b.avgTimeSpent - a.avgTimeSpent;
	} else if (selectedSortMethod === 'engagement') {
	comparison = b.engagementScore - a.engagementScore;
	} else if (selectedSortMethod === 'lastUpdated') {
	comparison = new Date(b.lastUpdated) - new Date(a.lastUpdated);
	}
	return sortOrder === 'desc' ? comparison : -comparison;
	})
	// Limit the results to displayLimit entries.
	.slice(0, displayLimit),
	[pageViewData, sections, selectedDifficulty, includeOutdated, minimumViews, minimumCompletionRate, selectedSortMethod, sortOrder, displayLimit]
	);

This data processing pipeline (filtering, mapping, sorting) runs on every render, which can become computationally expensive as the dataset grows. This may negatively affect performance metrics like First Contentful Paint (FCP) and Largest Contentful Paint (LCP).

To optimize, consider wrapping this logic in React.useMemo to ensure it only recalculates when relevant dependencies change. This helps avoid unnecessary recomputation and keeps the main thread more responsive.

Review by Conductor

Is this review helpful? React 👍 or 👎 to let us know!