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https://github.com/agnideeppoddar/website-traffic-analysis

https://github.com/agnideeppoddar/website-traffic-analysis

Science Score: 26.0%

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    Low similarity (8.6%) to scientific vocabulary
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Repository

Basic Info
  • Host: GitHub
  • Owner: AgnideepPoddar
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 0 Bytes
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Created 12 months ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

🌐 Website Traffic Analysis

Analyze website traffic trends, visitor behavior, and performance metrics using data analytics techniques. This project explores how users interact with a website and what insights can be drawn to improve content, engagement, and conversions.

📊 Project Overview

This project aims to uncover meaningful insights from website traffic data through:

  • Data Cleaning and Preprocessing
  • Exploratory Data Analysis (EDA)
  • Visualizations of traffic patterns
  • Key recommendations for improving site performance

📁 Dataset

🛠️ Tools & Libraries Used

  • Python 🐍
  • Pandas 🐼
  • NumPy 🔢
  • Matplotlib 📊
  • Seaborn 🎨
  • Plotly 📉 (optional for interactive visualizations)
  • Jupyter Notebook / Google Colab

📌 Key Tasks

✅ 1. Data Cleaning & Preprocessing

  • Checked for nulls and duplicates
  • Converted date fields to datetime format
  • Normalized bounce rate and time on page

🔍 2. Exploratory Data Analysis (EDA)

  • Traffic trends over time
  • Device type distribution
  • Most visited pages
  • Bounce rate and engagement metrics

📈 3. Visualization

  • Line graphs for daily/weekly traffic
  • Heatmaps for time vs. bounce rate
  • Pie charts for traffic sources
  • Bar plots for top pages by views

🚀 How to Run

  1. Clone this repository: ```bash git clone https://github.com/AgnideepPoddar/Website-Traffic-Analysis.git cd Website-Traffic-Analysis

Owner

  • Login: AgnideepPoddar
  • Kind: user

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