Jitesh117 / video_game_analysis

Video Game Dataset Tasks

Exploratory Data Analysis (EDA)

• Load the dataset and perform initial data exploration to understand its structure and contents.

Data Cleaning

• Handle missing values in the dataset appropriately (e.g., imputation, removal).
• Check for and handle any duplicate entries in the dataset.
• Convert data types to appropriate formats (e.g., convert 'Year_of_Release' to datetime, 'User_Score' to numeric).

Basic Statistics

• Compute basic statistics (mean, median, standard deviation) for numerical columns like 'Global_Sales', 'Critic_Score', etc.

Genre Analysis

• Explore the distribution of games across different genres.
• Compute the total global sales for each genre.

Platform Analysis

• Analyze the distribution of games on different platforms.
• Compute the total global sales for each platform.

Publisher Analysis

• Analyze the distribution of games based on the publisher.
• Compute the total global sales for each publisher.

Yearly Analysis

• Analyze the number of game releases per year ('Year_of_Release').
• Compute the total global sales for each year.

Sales Analysis

• Explore the distribution of sales in different regions (NA, EU, JP, Other).
• Analyze the correlation between critic/user scores and global sales.

User Score Analysis

• Explore the distribution of user scores ('User_Score').
• Analyze the relationship between user scores and global sales.

Rating Analysis

• Explore the distribution of game ratings ('Rating').
• Analyze the relationship between ratings and global sales.

User Count vs. Global Sales

• Analyze the relationship between user count ('User_Count') and global sales.
• Explore if highly sold games tend to have more user engagement.

Critic Score vs. User Score

• Analyze the relationship between critic scores and user scores.

Developer Analysis

• Explore the distribution of games based on developers.
• Compute the total global sales for each developer.

Long Tail Analysis

• Identify and analyze the 'long tail' of less popular games with minimal sales.

High Sales Outliers

• Identify and analyze outliers in global sales, understanding extremely high-performing games.

Genre Trends Over Time

• Analyze how popular gaming genres have evolved over the years.

User Engagement and Sales Correlation

• Investigate if higher user engagement (User_Count) correlates with higher global sales.

Regional Sales Analysis

• Analyze and compare game sales in different regions (NA, EU, JP, Other).

Age and Rating Analysis

• Analyze how game ratings and sales vary with age ratings (e.g., E for Everyone, T for Teen).

Market Share Analysis

• Compute the market share for each genre, platform, or publisher based on global sales.