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Analysis of Nobel Prize winners from 1901 to 2016 with Python (Jupyter Notebook).

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🏆 Nobel Prize Data Analysis

Nobel Prize Image

The Nobel Prize is a highly regarded award, recognizing achievements in fields such as Chemistry, Literature, Physics, Medicine, Peace, and Economic Sciences. Established by Alfred Nobel’s vision in 1895, the prize honors individuals and organizations that have contributed to the betterment of society. 🌍✨

This project explores the history and distribution of Nobel Prize winners, focusing on trends in gender, geography, and changes over time. 📊


🎯 Project Objectives

This analysis aims to uncover:

  • 🏅 Countries producing the most Nobel Prize winners
  • 🧑‍🔬👩‍🔬 Insights into the first female and male laureates
  • 📈 The United States' dominance over the years
  • 🗓️ Comparative trends during key historical periods, such as WWII and the post-2000s

🧩 Dataset Overview

View ⏬

This dataset provides information about Nobel Prize recipients, covering various aspects of their awards and backgrounds. The key variables are as follows:

  • year: The year when the Nobel Prize was awarded.
  • prize: The specific field in which the Nobel Prize was granted.
  • motivation: A brief summary of the achievements or contributions that led to the award.
  • prize_share: Indicates if the prize was shared with other laureates.
  • laureate_id: A unique identifier assigned to each laureate.
  • laureate_type: Specifies whether the recipient is an individual or an organization.
  • full_name: The full name of the laureate.
  • birth_date: The birthdate of the laureate.
  • birth_city: The city where the laureate was born.
  • birth_country: The country of origin of the laureate.
  • sex: The gender of the laureate.
  • organization_name: The organization associated with the laureate at the time of the award.
  • organization_city: The city where the affiliated organization is based.
  • organization_country: The country where the affiliated organization is located.
  • death_date: The date when the laureate passed away (if applicable).
  • death_city: The city where the laureate died (if applicable).
  • death_country: The country where the laureate died (if applicable).

Note: Due to a significant number of missing values in the organization_country column, countries were determined based on the birthplaces of laureates to ensure consistency in the analysis.


🔍 Key Findings

View ⏬
  • 🌍 Countries with the most awards: Between 1901 and 2016, the United States led the Nobel Prize count, followed by the United Kingdom, Germany, and France.
  • 👩‍🔬 Women laureates: A total of 49 women won Nobel Prizes during this period, with Marie Curie becoming the first in 1903 for Physics.
  • 🏆 Age of recipients: The average age of laureates was around 60, with many awardees in fields like Chemistry and Medicine reaching over 80 years old.
  • 📊 Distribution during WWII: From 1938 to 1945, the majority of prizes were awarded in Medicine (33%), with the United States receiving the highest number of awards.
  • 🧪 U.S. dominance post-WWII: Between 1947 and 1991, the U.S. consistently led in most categories, particularly in Medicine, except for Literature where the U.K. shared equal recognition.
  • 🌟 Noteworthy Young Recipient: Malala Yousafzai received the Nobel Peace Prize in 2014 at the age of 17, making her one of the youngest awardees in the prize's history.

💡 Visualizations

Throughout this analysis, various visualizations—ranging from bar charts to scatter plots and line graphs—are used to make sense of the data.


⭐️ If you enjoyed this project, don’t forget to give it a star on GitHub!

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Analysis of Nobel Prize winners from 1901 to 2016 with Python (Jupyter Notebook).

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