Extra Activity - 2

Bar Chart: Total Runs by Batsman

• Reason for Choosing: This plot helps us quickly compare the total runs scored by each batsman in the dataset. Bar charts are effective for displaying and comparing discrete data categories.

• Interpretation: We can see which batsmen are the top performers in terms of run-scoring. In this sample, Devon Conway is leading with 16 runs.

Histogram: Distribution of Runs

• Reason for Choosing: Histograms are ideal for visualizing the distribution of a single numerical variable. Here, it shows how often different run totals occur within the dataset.

• Interpretation: This plot reveals that most batsmen scored fewer runs, with the distribution skewed right. This indicates that higher scores are less frequent.

Scatter Plot: Runs vs. Balls Faced

• Reason for Choosing: Scatter plots are excellent for showing the relationship between two numerical variables. Here, we can see if there's a correlation between the number of runs scored and the number of balls faced by each batsman.

• Interpretation: The plot shows a slight positive trend, indicating that batsmen who face more balls tend to score more runs. However, there's also considerable variation, suggesting other factors like batting style and match conditions also play a role.

Batsman vs 6's: 

Shows How many Six's a batsman hit during IPL.

Batsman vs 4's: 

Shows How many Four's a batsman hit during IPL.

Bar Chart:

Six's and Four's By Each Team

Shows How many 4's were hit during each match.

Shows How many 6's were hit during each match.