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Exploratory Data Analysis(EDA)-T20 WorldCup 2022 using Python
Project type
Python
Date
Dec 2023
kaggle Link
Businss Talk
1. Overall Statistics:
1.1. Distribution of Matches Across Different Stages?
1.2. Number of Matches Played at Each Venue?
1.3 What is the most common toss decision (bat/field) made by teams?
1.4 Columns with Missing Values and Their Percentages?
1.5 Find the Abandoned Matches in the T20 Worldcup Series ?
2. Performance Metrics
2.1 What is the average score in the first innings and Second Innings?
2.2 How many wickets, on average, fell in the first and second innings?
2.3 identifing the average winning margin (in runs or wickets)?
3. Team Performance :
3.1 Which teams have the highest and lowest average scores in both the innings?
3.2 Team with the Most Wins?
4. Player Analysis:
4.1 Who are the top performers (players of the match)?
4.2 What is the distribution of top scores by players?
4.3 Top 8 Best Bowlers in T20 World Cup 2022?
5. Toss Impact:
5.1 Does winning the toss have a significant impact on the match outcome?
5.2 Is there a correlation between the toss winner and the match winner?
5.3 What is the decision of the captain after winning the toss ?
6. Stage-wise Analysis:
6.1 How do scores and wickets vary across different stages (Super 12, Semi-final, Final)?
6.2 Win-Loss Ratios for Each Team in Super 12?
6.3 Find Final Matches Stats?
7. Venue Impact:
7.1 How many matches were played at each venue?
7.2 Are their venues where teams consistently perform better or worse?
7.3 What is the Average Scores for Batting and Chasing at Each Venue?
8.Comparison Analysis:
8.1 What percentage of matches did each team bat first?
8.2 What percentage of matches did each team bat second?
The dataset comprises comprehensive information about T20 cricket matches, specifically from the T20 World Cup 2022. It encompasses various details such as match statistics, team performances, player achievements, and venue-specific insights. The data includes key match attributes like innings scores, wickets, toss decisions, and winners. Additionally, player-specific metrics such as the highest score, best bowling performances, and the player of the match are included.
The dataset captures the dynamics of team interactions at different stages of the tournament, ranging from group matches to the final. It covers diverse cricketing nations, including powerhouse teams like India, Australia, England, and others. The dataset also accounts for abandoned matches, providing a comprehensive overview of the tournament's progression.
With statistical analyses, visualizations, and insights derived from the data, users can gain a deeper understanding of team and player performances, venue impacts, and the overall narrative of the T20 World Cup 2022. This dataset serves as a valuable resource for cricket enthusiasts, analysts, and researchers interested in exploring and understanding the nuances of T20 cricket at the international level.