Olympics 2024 Dashboard Using Python and Power BI: Further Predictions and Study

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Rashmi Thakre; Tejas Sadapure; Abhay Rathod; Gajanan Kalmegh; Akshay Morkhade

Olympics 2024 Dashboard Using Python and Power BI: Further Predictions and Study

Authors: Rashmi Thakre, Tejas Sadapure, Abhay Rathod, Gajanan Kalmegh, Akshay Morkhade

Unique Paper ID: 180504
Volume: 12
Issue: 1
PageNo: 2282-2286

Keywords: Olympics 2024 Sports Analytics Power BI Dashboard Python Data Analysis Predictions Olympic Medal Forecasting Data Visualization Predictive Modeling Athlete Performance Analysis Historical Sports Data Interactive Dashboards.

Abstract:
The Olympic Games represent one of the most significant global sporting events, attracting attention from analysts, spectators, and policymakers worldwide. Leveraging data analytics and visualization tools, this study focuses on the development of a dynamic and predictive dashboard for the 2024 Olympics using Python and Power BI. The project integrates historical Olympic datasets, machine learning models for medal predictions, and interactive visual elements to provide insights into country performances, athlete statistics, and expected outcomes. This paper elaborates on the stages of data acquisition, transformation, visualization, model evaluation, and future enhancements while emphasizing the importance of predictive analytics in sports management.

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Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 2282-2286

Olympics 2024 Dashboard Using Python and Power BI: Further Predictions and Study

Available:https://ijirt.org/article?manuscript=180504

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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