Name: 2020 Tokyo Paralympics
Creator: Kaggle
License: https://creativecommons.org/licenses/by/4.0/

About this Dataset

2020 Tokyo Paralympics

==> Compiled Paralympics data over the years : 60 years of Paralympics

Information

This a collection of data from the Tokyo Paralympics Games 2020 held at Tokyo, Japan during 24-Aug-2021 to 5-Sep-2021.
4426 Athletes, 212 Teams from 162 Countries/NPCs participated and competed against each other.

Dataset Description

Each dataset file describes:

NPCs-list.csv : National Paralympic Committee's (NPCs) names and their corresponding short codes
entries-by-discipline.csv: Different Sporting events at the Paralympics and their participant's gender counts
paralympic-athletes.csv : List of participating athletes at the Tokyo Paralympics , their representing country and their sport
paralympic-coaches.csv : List of Coaches of the participating teams (Team Sports only)
paralympic-medal-tally.csv : Final Medal Tally of the Participating Countries/NPCs
paralympic-medals.csv : List of Winning Athlete's/Team's details
paralympic-teams.csv : List of participating Teams of different sports

Acknowledgement

The data was collected from the Official Tokyo Paralympics Website

Versions

V2: Updated paralympic-athletes.csv with Athlete's date of birth, Gender and Age.
V3: Removed Age column, since it can get obsolete.

Tables

Entries By Discipline

@kaggle.shivagovindasamy_2020_tokyo_paralympics.entries_by_discipline

4.01 kB
23 rows
4 columns

CREATE TABLE entries_by_discipline (
  "discipline" VARCHAR,
  "f" BIGINT,
  "m" BIGINT,
  "total" BIGINT
);

Npcs List

@kaggle.shivagovindasamy_2020_tokyo_paralympics.npcs_list

4.87 kB
162 rows
2 columns

CREATE TABLE npcs_list (
  "country" VARCHAR,
  "countrycode" VARCHAR
);

Paralympic Athletes

@kaggle.shivagovindasamy_2020_tokyo_paralympics.paralympic_athletes

130.18 kB
4,527 rows
7 columns

CREATE TABLE paralympic_athletes (
  "name" VARCHAR,
  "country" VARCHAR,
  "countrycode" VARCHAR,
  "sport" VARCHAR,
  "sport_code" VARCHAR,
  "date_of_birth" TIMESTAMP,
  "gender" VARCHAR
);

Paralympic Coaches

@kaggle.shivagovindasamy_2020_tokyo_paralympics.paralympic_coaches

6.89 kB
91 rows
6 columns

CREATE TABLE paralympic_coaches (
  "name" VARCHAR,
  "country" VARCHAR,
  "countrycode" VARCHAR,
  "sport" VARCHAR,
  "sport_code" VARCHAR,
  "event" VARCHAR
);

Paralympic Medals

@kaggle.shivagovindasamy_2020_tokyo_paralympics.paralympic_medals

43.82 kB
2,142 rows
7 columns

CREATE TABLE paralympic_medals (
  "country" VARCHAR,
  "countrycode" VARCHAR,
  "name" VARCHAR,
  "sport" VARCHAR,
  "sport_short" VARCHAR,
  "event" VARCHAR,
  "medal" VARCHAR
);

Paralympic Medal Tally

@kaggle.shivagovindasamy_2020_tokyo_paralympics.paralympic_medal_tally

8.66 kB
86 rows
8 columns

CREATE TABLE paralympic_medal_tally (
  "rank" BIGINT,
  "country" VARCHAR,
  "country_code" VARCHAR,
  "gold" BIGINT,
  "silver" BIGINT,
  "bronze" BIGINT,
  "total" BIGINT,
  "rank_by_total" BIGINT
);

Paralympic Teams

@kaggle.shivagovindasamy_2020_tokyo_paralympics.paralympic_teams

6.92 kB
212 rows
6 columns

CREATE TABLE paralympic_teams (
  "team" VARCHAR,
  "country" VARCHAR,
  "countrycode" VARCHAR,
  "sport" VARCHAR,
  "sport_code" VARCHAR,
  "event" VARCHAR
);