Baselight

Video Game Sales Analyze

It is based on BeautifulSoup using Python.

@kaggle.willianoliveiragibin_video_game_sales_analyze

Vgsales New
@kaggle.willianoliveiragibin_video_game_sales_analyze.vgsales_new

  • 456.78 KB
  • 16598 rows
  • 11 columns
rank

Rank

name

Name

platform

Platform

year

Year

genre

Genre

publisher

Publisher

na_sales

NA Sales

eu_sales

EU Sales

jp_sales

JP Sales

other_sales

Other Sales

global_sales

Global Sales

259Asteroids26001980ShooterAtari40.260.054.31
545Missile Command26001980ShooterAtari2.560.170.032.76
1768Kaboom!26001980MiscActivision1.070.070.011.15
1971Defender26001980MiscAtari0.990.050.011.05
2671Boxing26001980FightingActivision0.720.040.010.77
4027Ice Hockey26001980SportsActivision0.460.030.010.49
5368Freeway26001980ActionActivision0.320.020.34
6319Bridge26001980MiscActivision0.250.020.27
6898Checkers26001980MiscAtari0.220.010.24
240Pitfall!26001981PlatformActivision4.210.240.054.5

CREATE TABLE vgsales_new (
  "rank" BIGINT,
  "name" VARCHAR,
  "platform" VARCHAR,
  "year" DOUBLE,
  "genre" VARCHAR,
  "publisher" VARCHAR,
  "na_sales" DOUBLE,
  "eu_sales" DOUBLE,
  "jp_sales" DOUBLE,
  "other_sales" DOUBLE,
  "global_sales" DOUBLE
);

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