As an analyst for GameCo, a new video game company, the objective is to perform a descriptive analysis of a video game dataset to gain insights into the video game market. By analyzing historical sales data spanning different platforms, genres, and publishing studios, the aim is to inform the development of new games and understand market dynamics.

• Explore the dimensions and characteristics of the video game sales dataset
• Cleanse the dataset to address inconsistencies
• Transform and analyze sales data to identify trends and patterns
• Address hypothetical challenges faced by GameCo with appropriate analytical methods
• Conduct descriptive analysis to understand data distribution
• Develop insights for marketing budget allocation
• Create various visualizations to understand sales patterns
• Produce a narrative presentation communicating analytical findings

The dataset covers historical sales of video games from 1980 to 2016, sourced from VGChartz. Important points about the dataset:

• Tracks total units of games sold (in millions).
• Spans various platforms, genres, and publishing studios.
• Data includes games that sold more than 10,000 copies.

The primary tool used for data analysis and visualization is Microsoft Excel.

Visualizations created during the project using Microsoft Excel will be included in the final presentation, showcasing insights derived from the data analysis process.

The Video Game Popularity Data Analysis Project aims to leverage data-driven insights to inform game development strategies for GameCo. Through a series of exercises covering data exploration, cleaning, analysis, and visualization, the project provides actionable insights into video game sales trends and market dynamics. By applying analytical methods and visual storytelling techniques, the project demonstrates the significance of data analytics in guiding strategic decision-making in the gaming industry.