Baselight

Trending FIFA

This dataset can be used to find the factors determining a FIFA player's

@kaggle.willianoliveiragibin_trending_fifa

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About this Dataset

Trending FIFA

FIFA This directory contains the data behind the story How To Break FIFA. The data file fifacountriesaudience.csv includes the following variables: Header | Definition ---|--------- country | FIFA member country confederation | Confederation to which country belongs population_share | Country's

This directory contains the data behind the story How To Break FIFA.

The data file fifa_countries_audience.csv includes the following variables:

Header Definition
country FIFA member country
confederation Confederation to which country belongs
population_share Country’s share of global population (percentage)
tv_audience_share Country’s share of global world cup TV Audience (percentage)
gdp_weighted_share Country’s GDP-weighted audience share (percentage)
This dataset was scraped from FiveThirtyEight - fifa

Tables

@kaggle.willianoliveiragibin_trending_fifa.playr_soccer_trending
  • 73.81 kB
  • 2,306 rows
  • 12 columns
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CREATE TABLE playr_soccer_trending (
  "player_name" VARCHAR,
  "age" BIGINT,
  "national_team" VARCHAR,
  "positions" VARCHAR,
  "overall" BIGINT,
  "potential_overall" BIGINT,
  "current_club" VARCHAR,
  "contract_start" VARCHAR,
  "contract_end" VARCHAR,
  "value" BIGINT,
  "wage" BIGINT,
  "total_stats" BIGINT
);
@kaggle.willianoliveiragibin_trending_fifa.trending_football_players_year_new
  • 80.15 kB
  • 3,000 rows
  • 11 columns
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CREATE TABLE trending_football_players_year_new (
  "player_name" VARCHAR,
  "age" BIGINT,
  "national_team" VARCHAR,
  "positions" VARCHAR,
  "overall" BIGINT,
  "potential_overall" BIGINT,
  "current_club" VARCHAR,
  "current_contract" VARCHAR,
  "value" VARCHAR,
  "wage" VARCHAR,
  "total_stats" BIGINT
);

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