Name: Men's 2023 NCAA Track And Field Rankings
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Men's 2023 NCAA Track And Field Rankings

Sourced from TFRRS, this dataset contains the top 500 mens marks in all 21 events held at the outdoor NCAA championships for the year 2023. Data was cleaned to convert all times to "seconds.centiseconds" for machine usability, and all marks for throws/jumps are in meters.

Data Dictionary
Rank: The athlete's ranking position at the conclusion of the year in the event.
Athlete: Full name of the athlete.
Year: Numeric Year of eligibility for athlete with Freshman coded as 1 and Senior as 4.
Team: University Affiliation. For relays, Team is formatted as "University(B-Z)" to indicate it was the universities second (for B) fastest relay team that year.
Time: Duration taken by the athlete to complete the event, measured in seconds.
Meet: Name of the competition or meet.
Meet.Date: Date on which the meet took place.
high_altitude: Indicates if the event was held at high altitude.
Wind: Wind speed during the event, affecting track performances.
converted_from_mile: Shows if the 1500m time was converted from a mile time.
Athletes: Last names of athletes competing on relays.
Points: Combined total points for decathletes.
Mark: Metric measurement of distance or height achieved in field events in meters.
Conv: Imperial measurement of distance or height achieved in field events.

Tables

Dec

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.dec

16.87 kB
309 rows
7 columns

CREATE TABLE dec (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "points" BIGINT,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Disc

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.disc

27.43 kB
499 rows
8 columns

CREATE TABLE disc (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Hammer

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.hammer

27.77 kB
499 rows
8 columns

CREATE TABLE hammer (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Hj

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.hj

21.9 kB
514 rows
8 columns

CREATE TABLE hj (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Jav

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.jav

27.82 kB
500 rows
8 columns

CREATE TABLE jav (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Lj

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.lj

24.34 kB
510 rows
9 columns

CREATE TABLE lj (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "wind" DOUBLE
);

N 10000m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_10000m

23.39 kB
500 rows
8 columns

CREATE TABLE n_10000m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 100m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_100m

22.29 kB
505 rows
9 columns

CREATE TABLE n_100m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" DOUBLE,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "wind" DOUBLE,
  "high_altitude" BOOLEAN
);

N 110h

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_110h

24.31 kB
503 rows
9 columns

CREATE TABLE n_110h (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "wind" DOUBLE,
  "high_altitude" BOOLEAN
);

N 1500m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_1500m

23.57 kB
500 rows
9 columns

CREATE TABLE n_1500m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN,
  "converted_from_mile" BOOLEAN
);

N 200m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_200m

23.22 kB
503 rows
9 columns

CREATE TABLE n_200m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "wind" DOUBLE,
  "high_altitude" BOOLEAN
);

N 3000sc

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_3000sc

25.11 kB
500 rows
8 columns

CREATE TABLE n_3000sc (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 400h

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_400h

24.82 kB
500 rows
8 columns

CREATE TABLE n_400h (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" DOUBLE,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 400m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_400m

22.78 kB
501 rows
8 columns

CREATE TABLE n_400m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 4x100m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_4x100m

28.41 kB
501 rows
7 columns

CREATE TABLE n_4x100m (
  "rank" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "athletes" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 4x400m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_4x400m

29.81 kB
500 rows
7 columns

CREATE TABLE n_4x400m (
  "rank" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "athletes" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 5000m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_5000m

22.68 kB
500 rows
8 columns

CREATE TABLE n_5000m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

N 800m

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.n_800m

23.11 kB
500 rows
8 columns

CREATE TABLE n_800m (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "time" DOUBLE,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "high_altitude" BOOLEAN
);

Pv

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.pv

22.72 kB
503 rows
8 columns

CREATE TABLE pv (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Sp

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.sp

26.78 kB
498 rows
8 columns

CREATE TABLE sp (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" BIGINT,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP
);

Tj

@kaggle.ilikehurdles_2023_ncaa_track_and_field_rankings.tj

27.52 kB
474 rows
9 columns

CREATE TABLE tj (
  "rank" BIGINT,
  "athlete" VARCHAR,
  "year" DOUBLE,
  "team" VARCHAR,
  "mark" DOUBLE,
  "conv" VARCHAR,
  "meet" VARCHAR,
  "meet_date" TIMESTAMP,
  "wind" DOUBLE
);