🚀 Live Dashboard:
Live Dashboard

An interactive Tweet Analytics Dashboard built as part of my Elevance Skill Internship Project.
This project analyzes tweet engagement data to uncover patterns in user interactions, media performance, and content engagement.

The dashboard demonstrates how data visualization and analytics can transform raw social media data into meaningful insights.

📊 Interactive Visualizations -- Clear charts to analyze tweet engagement
📈 Performance Metrics Tracking -- Likes, retweets, replies, and interaction clicks
🧠 Insight‑Driven Analysis -- Identifying trends in tweet performance
🌐 Hosted Dashboard -- Deployed and accessible online
📁 Clean Repository Structure -- Organized for easy navigation and collaboration

The dashboard focuses on the most important engagement metrics:

👍 Likes -- Audience appreciation
🔁 Retweets -- Content reach and sharing
💬 Replies -- Audience interaction and discussion
🎥 Media Views -- Visibility of images/videos
🔥 Media Engagement -- Interaction with media content
🔗 URL Clicks -- Link engagement behavior
🏷️ Hashtag Clicks -- Hashtag interaction
👤 Profile Clicks -- Interest in the tweet author

📈 Tweets containing media content generally generate higher engagement.

🔗 Tweets with links or hashtags tend to drive more interaction clicks.

⏰ Posting time impacts engagement, with certain time windows producing higher activity.

🎯 High media views do not always translate into engagement, showing that content quality matters.

💻 Power BI / Looker Studio -- Data Visualization
📊 Excel Dataset -- Data Source
🌐 Vercel -- Dashboard Hosting
🐙 GitHub -- Version Control & Repository

dataset/
dashboard.pbix
README.md
screenshots/

1️⃣ Open the live dashboard
Dashboard

2️⃣ Explore the KPIs and charts to understand tweet engagement patterns.

Saksham Chauhan

Passionate about 📊 Data Analytics, 🤖 AI, and 📈 Data Visualization.
Building projects that turn data into insights.

💼 LinkedIn: Saksham Chauhan 💻 GitHub: Sakshamxx 🎓Host: Dashboard