IPL Dashboard

About this project

Introduction: Begin by introducing the project and its objective. Explain that the project involves creating a dashboard for the Indian Premier League (IPL) from 2008 to 2022 using Power BI.
Data Collection: Explain the data collection process and the sources of data. For example, mention that data was collected from official IPL websites, various APIs, and data scraping techniques.
Data Cleaning: Describe the data cleaning process, including data validation, removing duplicates, missing values, and other data inconsistencies.
Data Modeling: Describe the process of data modeling and how the data was transformed into a suitable format for the dashboard. Explain how you used various data modeling techniques, such as data normalization and aggregation.
Dashboard Design: Explain the dashboard design process and how you used Power BI to create a visually appealing and informative dashboard. Discuss how you used various Power BI features such as visualizations, charts, and graphs to present the data in an easily understandable way.
Dashboard Features: Discuss the key features of the dashboard, such as filters, slicers, and drill-downs. Explain how these features were implemented in the dashboard and how they help users to interact with the data.
Performance Optimization: Discuss how you optimized the dashboard's performance, including techniques such as data caching and data compression.
Conclusion: Conclude by summarizing the project and its significance. Mention how the dashboard can be used by IPL fans, analysts, and other stakeholders to gain insights into the IPL's performance over the years.
Future Scope: Discuss the future scope of the project, including potential improvements and additional features that could be added to the dashboard in the future.