Practice Series Filtering
Practice Series Filtering Data Science Project
Intro to Pandas for Data Analysis

Practice Series Filtering

Practice the basic statistical, filtering, and sorting operations on a pandas Series using the International cricket players who have played since 2002 dataset. Learn how to use filtering with conditionals on pandas series to filter the data based on a condition.

Project Activities

All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.

All our activities include solutions with explanations on how they work and why we chose them.

multiplechoice

How many players have a batting average greater than 30 in the 'batting_average' series

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What is the maximum number of runs scored by a player in the 'runs' series

input

How many players have played more than 500 balls in the 'balls' series

input

What is the mean value of the 'batting_average' series

Write your answer in the form of a number with 2 decimal places. For example, if the answer is 1.234567, write 1.23.

input

How many players have a strike rate less than 70 in the 'strike_rate' series

input

What is the minimum number of innings played by a player in the 'innings' series

input

How many players have a batting average greater than 50 in the 'batting_average' series

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How many players have a batting average between 20 and 30 (inclusive) in the 'batting_average' series

input

What is the average number of balls faced by a player in the 'balls' series

Write your answer in the form of a number with 2 decimal places. For example, if the answer is 1.238567, write 1.24.

input

How many players have a strike rate greater than 120 in the 'strike_rate' series

input

What is the maximum number of boundaries (fours + sixes) hit by a player in the 'number_of_fours' and 'number_of_sixes' series combined

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How many players have a batting average below 10 in the 'batting_average' series

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How many players have a strike rate between 80 and 90 (inclusive) in the 'strike_rate' series

input

What is the total number of runs scored by all players in the 'runs' series

input

What is the range (difference between the maximum and minimum values) of the 'number_of_fifties' series

input

How many players have a strike rate below 60 in the 'strike_rate' series

input

What is the mean number of boundaries (fours + sixes) hit by a player in the 'number_of_fours' and 'number_of_sixes' series combined

Write your answer in the form of a number with 2 decimal places. For example, if the answer is 111.24345, write 111.24.

Practice Series FilteringPractice Series Filtering
Author

Anurag Verma

What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥 When I'm not geeking out over AI 🤖 with my classmates or building neural networks, 🧠 you can find me buried in statistics textbooks. 📚 I know, what a nerd! 🤓 I'm always down to learn new ways to speak human 🫂 and computer 💻. Making tech more fun is my jam! 🍇 If you want a cheery data buddy 😎 who can make difficult things easy-peasy 🥝 and learning a party 🎉, I'm your guy! 🙋‍♂️ Let's chat codes 👨‍💻, numbers 🧮, and machines 🤖 over coffee! ☕ I'd love to meet more techy humans. 💁‍♂️ Can't wait to talk! 🗣️

What's up, friends! 👋 I'm a computer science student about to finish my last year of college. 🎓 I LOVE writing code! ❤️ It makes me so happy! 😄 Whether I'm goofing in notebooks 📓 or coding in Python 🐍, writing programs is a blast! 💥 When I'm not geeking out over AI 🤖 with my classmates or building neural networks, 🧠 you can find me buried in statistics textbooks. 📚 I know, what a nerd! 🤓 I'm always down to learn new ways to speak human 🫂 and computer 💻. Making tech more fun is my jam! 🍇 If you want a cheery data buddy 😎 who can make difficult things easy-peasy 🥝 and learning a party 🎉, I'm your guy! 🙋‍♂️ Let's chat codes 👨‍💻, numbers 🧮, and machines 🤖 over coffee! ☕ I'd love to meet more techy humans. 💁‍♂️ Can't wait to talk! 🗣️

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Intro to Pandas for Data Analysis

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