Difference between revisions of "ISSS608 2017-18 T1 Group6 Visualisations"
Sauravj.2017 (talk | contribs) (Created page with "==ABSTRACT== Understanding team dynamics in sports is never easy. In a game of Cricket, it’s even harder because teams show so many ups and downs on the cricket field each t...") |
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Understanding team dynamics in sports is never easy. In a game of Cricket, it’s even harder because teams show so many ups and downs on the cricket field each time they come out to play, its hard to say that there is a one-stop solution that can be implemented on all players for all formats of the game. To overcome this problem, we have conducted an exploratory data analysis to identify patterns in players (batsman and bowlers) and the teams they have been a part of through a medium of visualization to better throw light on their performances over the past 10 seasons (2008-18). Through various comparisons between batsman, bowlers, and team performances, we have highlighted various anomalies, validated certain presumptions, and created a visualization dashboard that, if used, would allow team managers to buy better players for upcoming seasons of the IPL. | Understanding team dynamics in sports is never easy. In a game of Cricket, it’s even harder because teams show so many ups and downs on the cricket field each time they come out to play, its hard to say that there is a one-stop solution that can be implemented on all players for all formats of the game. To overcome this problem, we have conducted an exploratory data analysis to identify patterns in players (batsman and bowlers) and the teams they have been a part of through a medium of visualization to better throw light on their performances over the past 10 seasons (2008-18). Through various comparisons between batsman, bowlers, and team performances, we have highlighted various anomalies, validated certain presumptions, and created a visualization dashboard that, if used, would allow team managers to buy better players for upcoming seasons of the IPL. | ||
Revision as of 23:38, 1 August 2018
Abstract
Understanding team dynamics in sports is never easy. In a game of Cricket, it’s even harder because teams show so many ups and downs on the cricket field each time they come out to play, its hard to say that there is a one-stop solution that can be implemented on all players for all formats of the game. To overcome this problem, we have conducted an exploratory data analysis to identify patterns in players (batsman and bowlers) and the teams they have been a part of through a medium of visualization to better throw light on their performances over the past 10 seasons (2008-18). Through various comparisons between batsman, bowlers, and team performances, we have highlighted various anomalies, validated certain presumptions, and created a visualization dashboard that, if used, would allow team managers to buy better players for upcoming seasons of the IPL.
