The dataset contains the information about nobel prize winners since 1901 obtained from Kaggle.

Here is the link: https://www.kaggle.com/nobelfoundation/nobel-laureates

Seaborn library is used from data visualization. Fruitful information is extracted from the dataset to study the trends in nobel prize.

1. An Introduction - The most Nobel of Prizes( importing the libraries & dataset)
2. Who gets the Nobel Prize by grouping on basis of Country & Sex?
3. Calculation of proportion of USA born winners per decade
4. Visualization of USA dominance
5. Plotting the proportion of female laureates by decade split and prize category.
6. The first woman to win the Nobel Prize
7. Selecting the laureates who have received 2 or more prizes.
8. Calculate and plot the age of each winner when they won their Nobel Prize.
9. Age differences between prize categories and plotting the trend of age
10. Displaying oldest and youngest nobel prize winners

1. Make a virtual environment

python3 -m venv env

2. Activate the virtual environment

source env/bin/activate # This command is for linux 

3. clone the repository :

git clone https://github.com/divya661/Nobel_Prize_History_Data_Science.git

Or

Download the zip folder & unzip the folder downloaded

4. Install the requirements by running the command in terminal:

pip install -r requirements.txt

5. Open the jupyter notebook and run the file 'nobel_prize_history.ipynb'