Dataset: Formula 2 Championship (updated After Every Race)

About this Dataset

Formula 2 Championship (updated After Every Race)

Context

The FIA Formula 2 Championship is a second-tier single-seater championship organized by the Fédération Internationale de l'Automobile (FIA). The championship was introduced in 2017, following the rebranding of the long-term Formula One feeder series GP2.

In addition to being the championship that awards the most points for the FIA Superlicence, it has been the previous step for many F1 drivers such as Charles Leclerc, George Russell, Lando Norris, Yuki Tsunoda, Guanyu Zhou and others.

Content

The information is divided into 5 files that correspond to each event. Not all events take place every week (for example the sprint race). The columns are:

LAPS: Total laps traveled by the pilot
TIME: Total event time
GAP: Distance from pilot to race leader (seconds)
INT: Distance to the next pilot (seconds)
KPH: Speed (mean)
BEST: Best time lap
LAP: Lap for the best time
POS: Final position of the event
CAR: Car number
PILOT NAME: Pilot name
TEAM: Constructor
CIRCUIT: Circuit name
TYPE: Type of the event
ROUND: Round (from 1 to total races per season)
DATE: Date of the feature race
LAP SET ON: Hot lap (fastest) for the Quali
QUALI TYPE: multi-session indicator of quali

Collection Methodology

You can visit the source code of the data pipeline in GitHub

Tables

Feature Race

@kaggle.alarchemn_formula_2_dataset.feature_race

65.24 KB
1420 rows
15 columns


CREATE TABLE feature_race (
  "laps" BIGINT,
  "time" VARCHAR,
  "gap" VARCHAR,
  "int" VARCHAR,
  "kph" DOUBLE,
  "best" VARCHAR,
  "lap" DOUBLE,
  "pos" DOUBLE,
  "car" BIGINT,
  "pilot_name" VARCHAR,
  "team" VARCHAR,
  "circuit" VARCHAR,
  "type" VARCHAR,
  "round" VARCHAR,
  "date" TIMESTAMP
);

Free Practice

@kaggle.alarchemn_formula_2_dataset.free_practice

59.45 KB
1685 rows
14 columns


CREATE TABLE free_practice (
  "laps" VARCHAR,
  "time" VARCHAR,
  "gap" VARCHAR,
  "int" VARCHAR,
  "kph" VARCHAR,
  "pos" DOUBLE,
  "car" BIGINT,
  "pilot_name" VARCHAR,
  "team" VARCHAR,
  "circuit" VARCHAR,
  "type" VARCHAR,
  "lap_set_on" VARCHAR,
  "round" VARCHAR,
  "date" TIMESTAMP
);

Qualifying Session

@kaggle.alarchemn_formula_2_dataset.qualifying_session

59.13 KB
1655 rows
15 columns


CREATE TABLE qualifying_session (
  "laps" BIGINT,
  "time" VARCHAR,
  "gap" VARCHAR,
  "int" VARCHAR,
  "kph" VARCHAR,
  "pos" DOUBLE,
  "car" BIGINT,
  "pilot_name" VARCHAR,
  "team" VARCHAR,
  "circuit" VARCHAR,
  "type" VARCHAR,
  "lap_set_on" VARCHAR,
  "round" VARCHAR,
  "date" TIMESTAMP,
  "quali_type" VARCHAR
);

Sprint Race 2

@kaggle.alarchemn_formula_2_dataset.sprint_race_2

15.54 KB
120 rows
15 columns


CREATE TABLE sprint_race_2 (
  "laps" BIGINT,
  "time" VARCHAR,
  "gap" VARCHAR,
  "int" VARCHAR,
  "kph" DOUBLE,
  "best" VARCHAR,
  "lap" DOUBLE,
  "pos" DOUBLE,
  "car" BIGINT,
  "pilot_name" VARCHAR,
  "team" VARCHAR,
  "circuit" VARCHAR,
  "type" VARCHAR,
  "round" VARCHAR,
  "date" TIMESTAMP
);

Sprint Race

@kaggle.alarchemn_formula_2_dataset.sprint_race

64.55 KB
1437 rows
15 columns


CREATE TABLE sprint_race (
  "laps" BIGINT,
  "time" VARCHAR,
  "gap" VARCHAR,
  "int" VARCHAR,
  "kph" DOUBLE,
  "best" VARCHAR,
  "lap" VARCHAR,
  "pos" DOUBLE,
  "car" BIGINT,
  "pilot_name" VARCHAR,
  "team" VARCHAR,
  "circuit" VARCHAR,
  "type" VARCHAR,
  "round" VARCHAR,
  "date" TIMESTAMP
);