Data Analysis and Visualization on Pro-Kabaddi Legue
Durvesh Mundhe1, Vinod Nimbalkar2, Suhasini VijayKumar3
1 MCA Student, University of Mumbai dkm1993@gmail.com
2 MCA Student, University of Mumbai omvinod24@gmail.com
Abstract-Data Visualization makes the complex information easy to understand. It helps to reveal patterns and trends; it uses colour to easily distinguish trends and it allows the viewer to get a sense of the data. Statistical numbers are hard to consume but effective data visualization has ability to summarize a ton of information and in the process, save time and effort. Data analysis is the method or methods that can be used to analyze data. Data analysis comprises of inspecting data followed by cleaning, transforming and
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This league is formally backed by the International Kabaddi Federation (IKF), the Asian Kabaddi Federation (AKF) and the Amateur Kabaddi Federation of India (AKFI), who are closely associated with its organization and technical conduct. These 8 Teams are owned by owners who are a mix of people from Business Group, sports businesses, and Bollywood Star. The Pro Kabaddi league highlighted the new, modern, international and competitive face of kabaddi game throughout the world
This paper will provide analysis for all the league seasons using visualizations to show different aspects of the game. To make efficient use of the available data set to draw conclusions. To develop a model using different algorithms like K-means, KNN and Logistic Regression to calculate correctness of analyzed data.
DATA SET
The data set used for the study comprises the Pro Kabaddi data obtained from the official website of pro kabaddi. The records were obtained for season 1, season 2, season 3 and season 4, which is in csv format.
For this study, we focused on the Team, Player, Player Type, Total Matches, Total raids, Total Points etc.
Table 1: Some data in Data Set
Furthermore, we selected Match Result.csv, Player Leader Board.csv, Player Stats.csv, Team Stats etc and did cleaning, transform process on it for achieving desired
A process to load the data in the data warehouse and to create the necessary indexes C. A process to upgrade the quality of data after it is moved into a data warehouse D. A process to upgrade the quality of data before it is moved into a data warehouse
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SQL server database latest version is installed and its connection with the proposed visualization tools is tested. Appendix/ data dictionary is analyzed. Our aim for this project is tell stories using data visualizations. This will be accomplished by developing various types of visualization to appreciate and identify trends in data. 3 suggested visualizations, i.e. histograms, stacked charts and barrel chart will be used
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The data for this thesis paper will be obtained from research online, from
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I first realized that there are numerous factors that contribute in how many games a team wins such as amount of fans, quality of manager etc. Since I currently study higher-level business and management, and I also hope to study
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