crazz-zaac / a-visual-history-of-nobel-prize-winners

Visualizing the history of Nobel Prize winners.

A Visual History of Nobel Prize Winners

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:

1. Out of 911 Nobel prize winners, 836 are males and only 49 are females
2. 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.
3. Visualizing the Gender of a typical Nobel Prize winner
4. Using lmplot to visualize the age of all the Nobel Prize winners
5. Visualizing the age difference between categories
6. The oldest Nobel Prize winner is Leonid Hurwicz (90 years old) and the youngest Nobel Prize winner is Malala Yousafzai (17 years old)

Tasks included

• Data exploration
• Data cleaning
• Data visualization

Datasets

You can find all the datasets used in this project inside the datasets directory. The datasets include

• nobel.csv

Installation

You can clone the repository and practise for yourself.

Credits

This is a part of Datacamp's - Data Science with Python course.

Thank you for your support ❤️