Premier League (2006/07 - 2017/18)
Premier League needs no introduction - one of the most awaited league around the globe. As a data science enthusiast and a Manchester United fan, I decided to analyze the Premier League dataset that I took from Kaggle which provided with the open dataset with numerous data attributes like home goals, away goals, penalty goals, results, saves, goals, scored, goals conceded and numerous others.
Check out the Medium post for the complete analysis published in Towards Data Science here: https://towardsdatascience.com/formula-1-grand-prix-analysis-d05d73b1e79c
Tableau Analysis
Check out the entire analysis on Tableau interactive dashboards here: https://public.tableau.com/profile/chinmaynw#!/vizhome/PremierLeagueAnalysis_16115515815180
Box & Whisker Plot
Home Team Vs Away Team - Matches played in the entire period
Scatter Plot
Home Goals across Teams over Seasons
Detailed View - Away Goals across Teams over Seasons
Aggregated View - Away Goals across Teams over Seasons
Box & Whisker Plot
Detailed View - Results of matches played through the seasons
Aggregated View - Results of the matches played through the seasons
Bullet Graph
Penalty Goals Saved & Conceded per Team across Seasons
Detailed View - Goals Scored & Conceded per Team across Seasons
Aggregated View - Goals Scored & Conceded per Team across Seasons
Treemap
Total Goal Saves across Teams over Seasons
Scatter Plot
Goals Composition - Own Goals, Goals Conceded, Total Goals across Teams
Dashboard
References
[1] https://www.kaggle.com/zaeemnalla/premier-league
Support
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License
This project is licensed under the MIT License. Feel free to create a Pull Request for adding implementations or suggesting new ideas to make the analysis more insightful