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Video Games Sales Data
Video Games Sales Data
This dataset contains records of popular video games in North America, Japan, Europe and other parts of the world. Every video game in this dataset has at least 100k global sales.
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as snsData Dictionary
| Column | Explanation |
|---|---|
| Rank | Ranking of overall sales |
| Name | Name of the game |
| Platform | Platform of the games release (i.e. PC,PS4, etc.) |
| Year | Year the game was released in |
| Genre | Genre of the game |
| Publisher | Publisher of the game |
| NA_Sales | Number of sales in North America (in millions) |
| EU_Sales | Number of sales in Europe (in millions) |
| JP_Sales | Number of sales in Japan (in millions) |
| Other_Sales | Number of sales in other parts of the world (in millions) |
| Global_Sales | Number of total sales (in millions) |
Source of dataset.
games = pd.read_csv("vgsales.csv", index_col=0)
gamesgames.info()games.isna().sum()games.drop_duplicates(inplace =True)games.shapegames.describe()I Which of the three seventh generation consoles (Xbox 360, Playstation 3, and Nintendo Wii) had the highest total sales globally?
games_top_platform = games.groupby('Platform')['Global_Sales'].sum()
games_top_platform = games_top_platform.sort_values(ascending=False)
games_top_platform.head()II Visualiqsation of the average sales for games in the most popular three genres & difference between NA, EU, and global sales.
games['Genre'].unique()games_Global = games.groupby('Genre')['Global_Sales'].sum().sort_values(ascending=False).nlargest(3)
games_Global