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Nobel Prize Winners
This example loads Nobel Prize laureate data from a CSV file and displays the raw parsed records as JSON in a `<pre>` element. The visualization uses D3 v7’s `csvParse` to transform each row, converting fields like year and prize share into numeric values, while preserving categorical attributes such as category, sex, and birth country. The code demonstrates a state-driven rendering pattern within a Vue-like setup, where asynchronous data fetching triggers re-renders. The dataset spans laureates from 1901 onward, sourced via Kaggle, and the current view focuses on data loading and inspection rather than a graphical chart.
AI-generated descriptionNobel Prize Winners Dataset
This dataset contains detailed information about Nobel Prize
laureates from 1901 to the present.
It includes the award year, prize category, motivation,
laureate details (individuals and organizations),
demographics, and affiliations.
- Source: Kaggle – Nobel Laureates
Attribute Descriptions (VAD Framework)
| Attribute | Type | Description |
|---|---|---|
Year |
Ordered (Time) | The year the prize was awarded |
Category |
Categorical | Prize category (Physics, Chemistry, Medicine, Literature, Peace, Economics) |
Prize |
Categorical | Full name of the award (e.g., “The Nobel Prize in Physics 1901”) |
Motivation |
Categorical | The official prize motivation |
Prize Share |
Ordered | Share of the prize received (e.g., 1, 1/2, 1/3, 1/4) |
Laureate ID |
Quantitative | Numeric identifier for each laureate |
Laureate Type |
Categorical | Type of laureate (Individual or Organization) |
Full Name |
Categorical | Name of the laureate |
Birth Date |
Time (Date) | Date of birth (if available) |
Birth City |
Categorical | City of birth |
Birth Country |
Categorical | Country of birth |
Sex |
Categorical | Gender of laureate (Male/Female/Org) |
Organization Name |
Categorical | Affiliated organization at time of award (if any) |
Organization City |
Categorical | City of the affiliated organization |
Organization Country |
Categorical | Country of the affiliated organization |
Death Date |
Time (Date) | Date of death (if applicable) |
Death City |
Categorical | City of death (if applicable) |
Death Country |
Categorical | Country of death (if applicable) |
Why This Dataset?
This dataset is valuable for exploring:
- The distribution of Nobel Prizes across categories and years
- Gender and nationality patterns among laureates
- Historical trends in laureates’ affiliations with organizations
- The evolution of shared prizes among multiple winners
- Longitudinal insights into global scientific and cultural contributions