🌐 Internet Speed & Latency Analysis

Author: Nowshika Mirza. R
Dataset: Internet Speed Dataset on Kaggle
Goal: Analyze and visualize global Internet performance trends through speed and latency analysis to support SDG 9 (Industry, Innovation, and Infrastructure).

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📊 Overview

This project performs data analysis and visualization on global Internet speed metrics, focusing on:

• Ping latency distribution
• Download vs Upload correlation
• Outlier detection (boxplots & z-scores)
• Time-based latency trends
• Geographic comparison (country-wise)
• Correlation heatmap between key metrics

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🧠 Key Insights

• Ping latency distribution reveals network performance variations.
• Download and upload speeds are moderately correlated.
• Latency spikes detected using statistical anomaly detection.
• Daily time series trends show network congestion patterns.
• Geographic variations highlight regional connectivity gaps.

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🧩 Tech Stack

• Python 3
• Libraries: pandas, numpy, matplotlib, seaborn, scipy

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🚀 How to Run

# 1. Clone repo
git clone https://github.com/<your-username>/internet-speed-latency-analysis.git
cd internet-speed-latency-analysis

# 2. Install dependencies
pip install -r requirements.txt

# 3. Place dataset
# Download from Kaggle and rename as Internet_speed.csv

# 4. Run script
python analysis.py