Skip to content

Latest commit

 

History

History
51 lines (36 loc) · 3.12 KB

README.md

File metadata and controls

51 lines (36 loc) · 3.12 KB

Logo

Demo

DEMO

Check it in my potfolio: https://neelanjan-chakraborty.github.io/project1.html

Description

🔹 Project Objective: Develop a powerful Power BI dashboard to analyze and visualize computer game sales and popularity across various genres and time stamps.

🔹 Dashboard Features:

  • Interactive Charts: Utilize visually appealing charts and graphs to display sales and popularity data.
  • Genre Comparison: Compare game sales and popularity across different genres to identify trends and patterns.
  • Time Stamps: Incorporate time-based filters to examine the performance of games over specific periods.
  • Sales Metrics: Showcase key sales metrics, such as revenue, units sold, and average price per game.
  • Popularity Ranking: Implement a ranking system to highlight the most popular games in each genre.
  • Historical Analysis: Enable users to explore historical data to identify long-term performance trends.

🔹 Data Integration:

  • Data Sources: Integrate data from various sources, including game sales databases, genre classifications, and timestamp records.
  • ETL Processes: Implement Extract, Transform, Load (ETL) processes to clean and transform the data for efficient analysis.
  • Data Refresh: Schedule regular data refreshes to ensure the dashboard reflects the most up-to-date information.

🔹 User-Friendly Interface:

  • Responsive Design: Create a responsive dashboard layout that adapts to different screen sizes and devices.
  • Intuitive Filters: Provide user-friendly filters for genre selection, time range, and sorting options.
  • Tooltips and Interactivity: Incorporate tooltips and interactive elements to enhance the user experience.

🔹 Insights and Decision-Making:

  • Game Performance Analysis: Gain insights into which genres have the highest sales and popularity.
  • Seasonality Patterns: Identify seasonal trends and understand which genres perform better during specific times of the year.
  • Investment Opportunities: Discover potential investment opportunities by examining underperforming genres or emerging trends.
  • Marketing Strategy: Develop effective marketing strategies based on the popularity and sales performance of specific games.

🔹 Deliverables:

  • Power BI Dashboard: A fully functional Power BI dashboard that presents game sales and popularity across genres and time stamps.
  • Documentation: Comprehensive documentation explaining the data sources, ETL processes, dashboard functionalities, and user guide.

🚀 This Computer Game Dashboard project harnesses the power of Power BI to provide game developers, marketers, and stakeholders with valuable insights for making data-driven decisions in the ever-evolving computer game industry. Let the numbers guide your gaming success! 📈🎮💡

🔗 Links

Github Github Github