🌦 Weather Forecasting Dashboard

📌 Overview

The Weather Forecasting Dashboard is an interactive Power BI solution that provides a weekly weather outlook to help individuals, businesses, and event planners make informed decisions. By combining multiple weather metrics into one easy-to-read interface, it offers real-time clarity on environmental conditions.

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🎯 Purpose

• Provide a single, consolidated view of weekly weather forecasts.
• Help users plan activities based on temperature, rainfall, and air quality.
• Track daylight duration using sunrise and sunset data.
• Offer an interactive, data-driven experience for better decision-making.

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📊 Key Metrics Displayed

1. Daily Temperature Trends

   • Maximum and minimum temperature for each day.
   • Easy-to-read charts showing fluctuations over the week.

2. Rainfall Probability

   • Percentage chance of precipitation.
   • Visual indicators for high, medium, or low rain risk.

3. Air Quality Index (AQI)

   • Current air quality rating for each day.
   • Color-coded for quick assessment (Good, Moderate, Unhealthy, etc.).

4. Sunrise & Sunset Times

   • Daily daylight start and end times.
   • Helps estimate total daylight hours.

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🎯Preview

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🖼 Dashboard Layout & Features

• Top Panel: Current date, week overview, and location.
• Center Charts: Interactive graphs for temperature, rainfall probability, and AQI.
• Side Widgets: Sunrise and sunset times, day length summary.
• Color Coding: Intuitive use of colors to indicate weather conditions.
• Filters & Slicers: Ability to filter by specific days or conditions.

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🔄 Data Flow

1. Data Collection: Weather data fetched from public APIs or CSV datasets.
2. Data Transformation: Cleaning and structuring in Power BI Query Editor.
3. Data Modeling: Creating relationships between datasets (temperature, AQI, rainfall, daylight).
4. Visualization: Interactive visuals and cards for better readability.
5. Update Cycle: Data can be refreshed daily or weekly depending on the source.

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⚙ How to Use

1. Download Weather_report_pw.pbix from this repository.
2. Open in Power BI Desktop.
3. Refresh data (if API connection is active).
4. Interact with the dashboard — hover, click, and filter to explore deeper insights.

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📂 Files in Repository

• Weather_report_pw.pbix – Power BI dashboard file.
• README.md – Documentation file (this one).
• (Optional) SampleData.csv – Example dataset for demo purposes.

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📜 License

Released under the MIT License — free to use, modify, and share with attribution.

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📧 Contact Created by Elluri Imran For queries or collaborations, reach out via GitHub Issues.