Difference between revisions of "Group24 Proposal"
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==Motivation== | ==Motivation== | ||
<p>For the love of Cricket, we want to find the best possible combinations which team owners can be supported with to pick the right players for the upcoming IPL seasons as they invest millions in the endeavor to win the trophy each year. As avid fans, we want to also build our knowledge of the game and apply the Tableau skills learned at school in a project that enriches our knowledge of the sport, helps us look at subjects of our interest with a statistical lens, and showcase our skillset on a large canvas.</p> | <p>For the love of Cricket, we want to find the best possible combinations which team owners can be supported with to pick the right players for the upcoming IPL seasons as they invest millions in the endeavor to win the trophy each year. As avid fans, we want to also build our knowledge of the game and apply the Tableau skills learned at school in a project that enriches our knowledge of the sport, helps us look at subjects of our interest with a statistical lens, and showcase our skillset on a large canvas.</p> | ||
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| + | ==Link to Dataset== | ||
| + | [https://www.kaggle.com/kvlsarada/ipl-dataset Data Source] | ||
Revision as of 18:25, 17 June 2018
ISSS608 Visual Analytics and Applications
IPL Analytics through Data Visualisations
Chennai Super Kings
Delhi Daredevils
Kings XI Punjab
Kolkata Knight Riders
Mumbai Indians
Rajasthan Royals
Royal Challengers Bangalore
Sun Risers Hyderabad
Deccan Chargers
Gujarat Lions
Kochi Tuskers Kerala
Pune Warriors India
Rising Pune Supergiants
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Motivation
For the love of Cricket, we want to find the best possible combinations which team owners can be supported with to pick the right players for the upcoming IPL seasons as they invest millions in the endeavor to win the trophy each year. As avid fans, we want to also build our knowledge of the game and apply the Tableau skills learned at school in a project that enriches our knowledge of the sport, helps us look at subjects of our interest with a statistical lens, and showcase our skillset on a large canvas.
