📊 TrafficQueryX — Website Traffic Range Analytics (Powered by Mo’s Algorithm)

TrafficQueryX is a high-performance range analytics engine for website traffic data.
It enables ultra-fast analysis on large daily-traffic datasets using Mo’s Algorithm, a competitive-programming level optimization technique.

This tool is fully frontend-based (React + Vite) and processes thousands of complex queries without needing any backend server.

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🚀 Features

TrafficQueryX supports 4 major analytics queries on daily visit logs:

🔹 1. Unique Visitors (L–R)

Returns the sum of unique visitors in the selected range.

🔹 2. Spikes Detector (Local Peaks)

Counts how many days in L–R range were traffic spikes, defined as:

visits[i] > visits[i - 1] AND visits[i] > visits[i + 1]

🔹 3. Repeated IP Count (L–R)

Returns the total number of repeated IP hits detected across L–R.

🔹 4. Heavy Traffic Windows

Counts the days where:

visits ≥ heavyThreshold

(Threshold customizable by user)

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🧠 Why Mo’s Algorithm?

Normally, if you try to run:

• 50,000 queries
• on 1 year or multi-year visit data

The naive complexity becomes:

O(N × Q) → extremely slow

But Mo’s Algorithm rearranges the queries to reduce operations:

Final Optimized Complexity

O((N + Q) × √N)

This reduces billions of operations into a few million.

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⚙️ Time Complexity Summary

Task	Complexity
Query Sorting (Mo’s)	O(Q log Q)
Add / Remove operations	O(1)
Total query execution	O((N + Q) √N)

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📏 Maximum Dataset Capacity

✔ Smooth Performance

N = 365 – 5,000 (1 year – 5 years)
Q = up to 50,000

✔ Very Good Performance

N = 10,000 – 50,000 days
Q = 50,000

✔ Acceptable / Heavy But Works

N = 100,000 days (≈ 300 years 😄)
Q = 50,000

✔ Stress Limit (Browser memory dependent)

N = 200,000 – 300,000+
Q = 50,000–100,000

Beyond this, browser JS memory may lag —
but algorithmically Mo’s can handle millions of entries if backend is used.

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🛑 Do You Need a Backend?

Dataset Size	Backend?	Notes
365–10,000 days	❌ No	Fully frontend
10,000–50,000 days	❌ No	Fast with Mo’s
100k–300k days	⚠️ Maybe	Heavy but possible
500k+ days	✅ Yes	Browser memory becomes bottleneck

For your project (1 year traffic data), no backend required.

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🖥️ Real-Life Use Cases

• Website traffic dashboards
• Analytics tools
• Admin panels
• Performance visualization
• User-behavior study tools
• SEO traffic patterns
• Load testing analysis
• Peak traffic detection

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📝 Project Description (Copy-Ready)

TrafficQueryX is a modern website-traffic analytics engine that performs ultra-fast range queries using Mo’s Algorithm.

It supports unique visitor analysis, spike detection, repeated-IP analysis, and heavy-traffic window detection — all computed instantly on large datasets directly in the browser, without any backend server.

This tool is ideal for students, developers, analysts, and dashboard builders who want efficient traffic analytics powered by advanced algorithms.

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⭐ Tech Stack

• React (Vite)
• Mo’s Algorithm (CP optimization)
• Pure JS logic
• Fully client-side (no backend needed)

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✔ Key Advantages

• Handles 50,000+ queries instantly
• Perfect for large traffic arrays
• Pure frontend, super lightweight
• Extendable – add more metrics anytime
• Ready for animated UI / dashboards

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📦 Example Data Format

visits uniqueVisitors repeatIPs

1200 1000 200
1800 1500 300
900 800 100
2500 2000 500

If only one number is given:

visits = uniqueVisitors
repeatIPs = 0

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