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This chart helps you quickly see that Over 5 was the most expensive, with 14 runs scored. You
might want to avoid having the same bowler bowl in that over next time or come up with a
strategy to reduce runs in that over.
Making Smarter Decisions
By organising and visualising the data, you can now make smarter decisions for future matches.
Here is how you can make smarter decision:
Strategy: You might decide to ask Player B to bowl more in the next match since they took the
most wickets and were the most successful bowler.
Improvement: If you notice that Player C conceded the most runs, you might give them tips
on how to improve their bowling or place them in a different position.
Team performance: Visualising the data helps the whole team understand their strengths
and areas for improvement. It also highlights patterns, such as which batsmen tend to score
the most runs in certain overs.
UNDERSTANDING DATA
Data refers to raw information or facts that are collected and used to understand patterns, make
predictions or gain insights. Data can be in the form of numbers, images, text or sounds. For
example, a table with information about cars is data, where each row provides details about a
specific car. Here are some everyday examples of data:
Grades that students get in an exam
Daily temperature readings
Number of steps counted by a fitness band
Photos taken by a camera
46 Artificial Intelligence (CT & AI)-VII
