Dataset: Throw Competitions Top 100 Marks

About this Dataset

Throw Competitions Top 100 Marks

Context

Throw competitions have always been amazing to me and recently I had a doubt, which throwing competition has the biggest scores? That information was too easy to get, so I decided to get the top 100 sport people from hammer, discus, shot, and, javelin. I found a page that keeps track of all this information but there was no way to download it, so I created a web scraper to get this data.

Content

This dataset contains the information about the top 100 sport people from each discipline, including rank, mark, competitor, day of birth, nationality, position, venue, date, and result score.

Acknowledgements

All credit for this information belongs to world athletics, check out their page, it has a lot of interesting information about sports.

Inspiration

There are some questions that could be addressed with this information:

How does the temperature affects athletes performance?
How does social and economic status of a country affects the athletes performance?

An interesting problem that could be addressed by adding information could be to predict an athlete performance based on height, weight and age.

Tables

Discus Throw Men

@kaggle.ricfraga_throw_competition_data.discus_throw_men

11.39 KB
100 rows
10 columns


CREATE TABLE discus_throw_men (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" VARCHAR,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Discus Trow Women

@kaggle.ricfraga_throw_competition_data.discus_trow_women

10.73 KB
100 rows
10 columns


CREATE TABLE discus_trow_women (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" DOUBLE,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Hammer Throw Men

@kaggle.ricfraga_throw_competition_data.hammer_throw_men

11.15 KB
100 rows
10 columns


CREATE TABLE hammer_throw_men (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" BIGINT,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Hammer Throw Women

@kaggle.ricfraga_throw_competition_data.hammer_throw_women

11.35 KB
100 rows
10 columns


CREATE TABLE hammer_throw_women (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" VARCHAR,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Javelin Throw Men

@kaggle.ricfraga_throw_competition_data.javelin_throw_men

11.41 KB
100 rows
10 columns


CREATE TABLE javelin_throw_men (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" VARCHAR,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Javelin Throw Women

@kaggle.ricfraga_throw_competition_data.javelin_throw_women

11.33 KB
100 rows
10 columns


CREATE TABLE javelin_throw_women (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" VARCHAR,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Shot Put Men

@kaggle.ricfraga_throw_competition_data.shot_put_men

11.37 KB
100 rows
10 columns


CREATE TABLE shot_put_men (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" VARCHAR,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);

Shot Put Women

@kaggle.ricfraga_throw_competition_data.shot_put_women

10.5 KB
100 rows
10 columns


CREATE TABLE shot_put_women (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "mark" DOUBLE,
  "competitor" VARCHAR,
  "dob" VARCHAR,
  "nationality" VARCHAR,
  "position" DOUBLE,
  "venue" VARCHAR,
  "date" VARCHAR,
  "result_score" BIGINT
);