Name: IAAF Records From 1961 To 2024
Creator: Kaggle
License: https://opensource.org/licenses/MIT

About this Dataset

IAAF Records From 1961 To 2024

Overview

This dataset comprises detailed records of all competitions overseen by the IAAF, now known as World Athletics, covering various track and field events. The dataset includes performances from athletes across different disciplines, genders, and countries, providing a comprehensive view of athletic achievements over the years.

Dataset Description

Each row in the dataset represents a single performance record from an IAAF-sanctioned event. The columns capture various aspects of the performance, including event details, athlete information, and contextual metadata.

Usage and Applications
This dataset can be utilized for a variety of analytical and research purposes, including:

Performance Analysis: Studying trends and patterns in athletic performance over time, across different disciplines and genders.
Athlete Development: Analyzing the progression of athletes' performances throughout their careers.
Comparative Studies: Comparing performances between countries, venues, and conditions (e.g., indoor vs. outdoor).
Historical Insights: Understanding the evolution of track and field records and the impact of technological and training advancements on performance.

Data Source

The dataset is derived from the official records maintained by World Athletics, ensuring accuracy and reliability. The data reflects performances from a wide range of events and years, providing a robust resource for sports analysts and researchers.

Data Format

The dataset is provided in CSV format, facilitating easy integration with various data analysis tools and programming languages.

Tables

Clean Iaaf Record

@kaggle.johnpendenque_iaaf_records_from_1961_to_2024.clean_iaaf_record

144.91 kB
3,384 rows
27 columns

CREATE TABLE clean_iaaf_record (
  "discipline" VARCHAR,
  "performance" VARCHAR,
  "wind" VARCHAR,
  "competitor" VARCHAR,
  "date_of_birth" TIMESTAMP,
  "country" VARCHAR,
  "venue" VARCHAR,
  "gender" VARCHAR,
  "date" TIMESTAMP,
  "year" BIGINT,
  "record_type" VARCHAR,
  "is_indoor" BOOLEAN,
  "pending_ratification" VARCHAR,
  "mixed_gender_race" BOOLEAN,
  "women_only_race" BOOLEAN,
  "venue_country" VARCHAR,
  "venue_city" VARCHAR,
  "venue_country_official_name" VARCHAR,
  "venue_country_region" VARCHAR,
  "venue_country_subregion" VARCHAR,
  "venue_country_latitude" DOUBLE,
  "venue_country_longitude" DOUBLE,
  "comp_country_official_name" VARCHAR,
  "comp_country_region" VARCHAR,
  "comp_country_subregion" VARCHAR,
  "comp_country_latitude" DOUBLE,
  "comp_country_longitude" DOUBLE
);