In this part of my practising journey, I visualized the Nobel Prize Winners dataset containing the data from 1901 to 2016. Using data science tools, I successfully visualized the most dominating country for wining the Nobel prizes. The following information was inferred from the dataset:
- Out of 911 Nobel prize winners, 836 are males and only 49 are females
- United States of America is the most dominating country with a total of 259 Nobel prizes followed by United Kingdom (85 Nobel prizes) and Germany (61 Nobel prizes). More than 40% of the winners are born in USA and has kept the leading position ever since.
- Visualizing the Gender of a typical Nobel Prize winner
- Using
lmplot
to visualize the age of all the Nobel Prize winners - Visualizing the age difference between categories
- The oldest Nobel Prize winner is Leonid Hurwicz (90 years old) and the youngest Nobel Prize winner is Malala Yousafzai (17 years old)
- Data exploration
- Data cleaning
- Data visualization
You can find all the datasets used in this project inside the datasets
directory. The datasets include
- nobel.csv
You can clone the repository and practise for yourself.
This is a part of Datacamp's - Data Science with Python course.
Thank you for your support ❤️