Power BI Projects Repository

Overview

Welcome to the Power BI Projects Repository! This repository highlights various dashboards and reports created using Power BI to derive actionable insights and improve data-driven decision-making. The current project is based on the Tweet Dataset, designed to analyze and visualize key trends and patterns in social media data.

---

Current Project: Twitter Analytics Dashboard

Project Description

The Twitter Analytics Dashboard provides an in-depth view of social media interactions, including metrics like tweet volume, user engagement, sentiment analysis, and trending hashtags. It aims to assist businesses and individuals in understanding their online presence and audience behavior.

Key Features

• Overview of Tweet Activity: Total tweets, retweets, likes, and replies visualized through KPIs.
• Trend Analysis: Time-series charts showing tweet frequency and engagement over time.
• Top Performing Content: Identification of most liked and retweeted tweets.
• Hashtag Analysis: Insights into trending hashtags and their usage patterns.
• User Sentiment: Sentiment breakdown (positive, neutral, negative) for tweets.

---

How to Use

1. Dataset Preparation:
   • The provided dataset Tweet.xlsx contains raw data for the dashboard.
   • Ensure the dataset is stored locally or in a shared location accessible to Power BI.
2. Opening the Dashboard:
   • Download and open the .pbix file in Power BI Desktop.
   • Link the file to the dataset using the Power Query Editor (if required).
3. Exploring Insights:
   • Navigate through the interactive visuals, filters, and slicers to analyze the data.
   • Use the reports to derive insights about social media engagement and content performance.

---

Dataset Details

• File Name: Tweet.xlsx
• Description: Contains information related to tweets, including timestamps, user engagement metrics (likes, retweets), hashtags, and sentiment scores.
• Source: [Null Class]

---

Tools and Techniques Used

• Power BI Features:
  • Data Modeling
  • DAX Calculations
  • Custom Visualizations
• Key Visuals:
  • Bar Charts, Pie chart, Slicers, and Drill downs
• Data Processing:
  • Power Query Editor for cleaning and transforming data

---

Future Updates

• Addition of predictive analytics for social media trends.
• Integration of real-time data streams for live dashboard updates.
• Enhanced visuals and detailed breakdown of user demographics.