Series Practice with World Bank's data
Series Practice with World Bank's data Data Science Project
Intro to Pandas for Data Analysis

Series Practice with World Bank's data

Practice the fundamental concepts of Pandas Series using series extracted from World Bank's data on economic, political, and social indicators for countries around the world. You will practice data manipulation and access in series, perform basic statistical operations and sorting.

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

What is the data type of the `country_name` series

multiplechoice

What is the size of the gdp series

input

What is the data type of the `internet_users` series

input

What is the value of the first element in the `population` series

input

What is the value of the last element in the `life_expectancy` series

input

What is the value of the element with index 29 in the `literacy_rate` series

Write answer in the form of a number with two decimal places. For example, if the answer is 78.868623, write 78.87.

input

What is the value of the last element in the `gdp` series

input

What is the mean of the `internet_users` series

Write answer in the form of a number with two decimal places. For example, if the answer is 78.868623, write 78.87.

input

What is the standard deviation of the `internet_users` series

Write answer with two decimal places. For example, if the answer is 45.5432, write 45.54.

input

What is the median of the `exports` series

Write complete answer. For example, if the answer is 45.5432, write 45.5432.

input

What is the minimum value in the `life_expectancy` series

input

What is the average literacy rate of all countries

Write complete answer. For example, if the answer is 45.5432, write 45.5432.

codevalidated

Sort the series in ascending order

Sort the country_name series in ascending order and assign the result to a new variable called country_name_sorted.

codevalidated

Sort multiple series at once

Both the series country_name and literacy_rate have the same number of elements and the elements are in the same order with respect to index number. Arrange the country name as per ascending order of literacy rate. Assign the result of country name to new variable called country_name_sorted_by_literacy_rate and the result of literacy rate to new variable called literacy_rate_sorted.

Example: If the country name is ['India', 'China', 'Japan'] and literacy rate is [80, 90, 70], then the result should be ['Japan', 'India', 'China'] and [70, 80, 90].

Series Practice with World Bank's dataSeries Practice with World Bank's data
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! 🗣️

This project is part of

Intro to Pandas for Data Analysis

Explore other projects