Skip to content

This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.

Notifications You must be signed in to change notification settings

1AyaNabil1/The-Nobel-Prize

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 

Repository files navigation

The Nobel Prize

Nobel Prize

The Nobel Prize is one of the most prestigious and well-known scientific awards in the world. It is awarded annually to individuals who have made outstanding contributions in various fields, including chemistry, literature, physics, physiology or medicine, economics, and peace. This readme file provides an overview of the content covered in the associated Jupyter notebook.

Table of Contents

  1. Uploading Data
  2. Answering some questions on data

1. Uploading Data

In this section, the notebook loads the necessary libraries and imports a dataset of Nobel Prize winners. The dataset is used to answer various questions about the Nobel Prize and its recipients.

2. Answering some questions on data

2.1 So, who gets the Nobel Prize?

This section explores the gender and nationality of Nobel Prize winners. It analyzes the representation of male and female laureates and the top 10 nationalities among the winners.

2.2 The USA dominance

The notebook investigates when the United States of America started dominating the Nobel Prize charts. It calculates the proportion of USA-born winners per decade.

2.3 What is the gender of a typical Nobel Prize winner?

This section examines the gender imbalance among Nobel Prize winners, including trends across different prize categories. It visualizes the gender proportions for each category over time.

2.4 Who is the first woman to win the Nobel Prize?

The notebook identifies the first woman to receive a Nobel Prize and determines the category in which she received the award.

2.5 What are the repeat laureates?

This section lists Nobel Prize laureates who have received the award multiple times.

2.6 How old are you when they get the prize?

The notebook calculates the age of Nobel Prize winners when they received the award and visualizes the age trends over time.

2.7 Age differences between prize categories

This section further analyzes age trends but separates the plots for each Nobel Prize category.

2.8 Who is the oldest and youngest winners?

The notebook identifies the oldest and youngest individuals to have ever won a Nobel Prize.

This readme provides a brief overview of the analysis performed in the associated Jupyter notebook, which explores various aspects of the Nobel Prize and its recipients. You can refer to the notebook for more detailed information and data visualizations.

About

This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published