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Historical Nobel Prize Recipient Data
Data Science and Analytics
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About
The recipients of the Nobel Prize from 1901 to 2019, with a particular focus on the participation of women. The Nobel Prize is an annual set of international awards for significant academic, cultural, or scientific progress. This dataset can be used to analyse trends in female representation among laureates over time. For instance, while there have been more female Nobel laureates in the last 20 years than in the preceding 90, the percentage increase from the first decade (1900-1909) to the last (2010-2019) was from 5% to 10%, indicating a gradual but slow progression. The data was compiled from Wikipedia pages about the Nobel Prize.
Columns
- Name: The full name of the Nobel Prize laureate.
- Year: The year the award was conferred.
- Category: The field in which the Nobel Prize was awarded (e.g., Physics, Physiology or Medicine).
- Countries: The country or countries associated with the laureate.
- Gender: The gender of the laureate (Man, Woman).
- Description: The reason for the award, with data primarily available for female laureates.
- Details: Additional information related to the country, such as the laureate's place of birth or work.
Distribution
- Format: CSV file (nobel_prize_awarded_1901_2019.csv)
- Size: 59.08 kB
- Structure: The dataset contains 7 columns. Specific record counts are not provided.
Usage
This dataset is ideal for exploring historical trends in Nobel Prize awards. It can be used to analyse the changing participation of women over the years, examine the distribution of awards across different categories and countries, and identify patterns in laureate demographics.
Coverage
- Geographic: Covers laureates from 157 unique countries, with the United States and the United Kingdom being the most common.
- Time Range: Spans from 1901 to 2019.
- Demographic: Includes laureates of different genders, though the primary focus is on highlighting female recipients. Note that the 'Description' and 'Details' columns have significant missing data, particularly for male laureates.
License
CC0: Public Domain
Who Can Use It
- Researchers and Academics: Can analyse trends in scientific and cultural achievements and gender representation in prestigious awards.
- Data Journalists: Can create visualisations and stories about the history of the Nobel Prize and the progress of women in various fields.
- Students: Can use the data for projects related to history, sociology, gender studies, and data science.
- Policy Makers: Can use the data to understand historical gender disparities in academic and scientific recognition.
Dataset Name Suggestions
- Nobel Prize Laureates 1901-2019
- Women in the Nobel Prize (1901-2019)
- Historical Nobel Prize Recipient Data
- Nobel Prize Gender and Category Analysis
Attributes
Original Data Source:Historical Nobel Prize Recipient Data
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