Nobel Laureates 1901-2019

Nobel Prize Dataset Metadata File Format: CSV (Comma-Separated Values) Number of Entries: Data includes multiple entries, with each row representing a Nobel Prize award. Columns (Selected): awardYear: The year the prize was awarded. category: The category of the Nobel Prize (e.g., Physics, Chemistry, Literature, Peace, Physiology or Medicine, Economic Sciences). categoryFullName: The full name of the category. sortOrder: The order in which the prizes are listed for the year. portion: The share of the prize that the laureate received. prizeAmount: The amount of the prize in Swedish kronor (SEK) at the time of the award. prizeAmountAdjusted: The prize amount adjusted for inflation to a recent year. dateAwarded: The date on which the prize was awarded. prizeStatus: Status of the prize (e.g., received). motivation: The official motivation for the award. laureate type: Indicates if the laureate is an individual or an organization. gender: The gender of the laureate. birth_date, birth_city, birth_country: Birth details of the laureate. org_name, org_city, org_country: Details of the organization (if the laureate is an organization). affiliation_1, affiliation_2, affiliation_3, affiliation_4: Affiliation details for the laureate. Total Columns: 52 columns, including detailed information about the laureates and their affiliations, birth details, and specifics about the awards. Use Cases: This dataset can be used for historical analysis of Nobel Prizes, demographic studies of laureates, statistical analysis of prize amounts over time, and research into the distribution of awards across categories and countries. Source: Kaggle

诺贝尔奖数据集元数据
文件格式：CSV（逗号分隔值，Comma-Separated Values）
记录总量：本数据集包含多条记录，每一行对应一项诺贝尔奖颁奖事项。
精选字段说明：
- awardYear：奖项颁发年份
- category：诺贝尔奖奖项类别（例如物理学、化学、文学、和平、生理学或医学、经济学奖）
- categoryFullName：奖项类别的完整名称
- sortOrder：该年度内各项奖项的排序序号
- portion：该奖项得主分得的奖金份额
- prizeAmount：颁奖时点以瑞典克朗（SEK）计价的原始奖金总额
- prizeAmountAdjusted：经通货膨胀调整至近年的奖金金额
- dateAwarded：奖项正式颁发日期
- prizeStatus：奖项状态（例如“已领取”）
- motivation：官方公布的颁奖理由
- laureate type：获奖者类型，用于标识获奖者为个人或组织
- gender：获奖者性别
- birth_date、birth_city、birth_country：获奖者的出生日期、出生城市与出生国家
- org_name、org_city、org_country：组织类获奖者的机构名称、所在城市与所属国家（仅适用于获奖者为组织的场景）
- affiliation_1、affiliation_2、affiliation_3、affiliation_4：获奖者的附属机构信息（共4组）
总列数：本数据集总计包含52列，涵盖获奖者及其附属机构、出生信息与奖项相关的全部细节内容。
使用场景：本数据集可应用于诺贝尔奖历史脉络分析、获奖者人口统计学研究、历年奖金金额的统计分析，以及跨奖项类别、跨国别的奖项分布特征研究。
数据来源：Kaggle