![]() A region's interest in a genre differs from one another due to difference in culture and tradition.The top publisher in the most sold region is also the top publisher in the other regions.The higher the game count of a publisher, the more sales the publisher has. ![]() The publisher of the the top game is also the publisher with the highest sales.These hypotheses mentioned are as follows: As we gain insights from the visualizations, we will be asking questions in the form of hypotheses to further our knowledge in the dataset. In this section, we will try and get insights from the preprocessed dataset from visualizations. Exploratory Data Analysis and Data Visualization The essence of this section is to delete errors in the dataset and make sure what we use for visualization is optimal. We will also be combining the PS4 and XBox One dataset and adding a total sales column. This section will include removing rows with nulls, no sales, and games with duplicates. In this section, we will look at the dataset and change it to get better inisights and create the best visualizations possible. The techniques used in the project are aligned to the teachings from the course "Data Analysis with Python: Zero to Pandas" by Jovian in partnership with freecodecamp. The following libraries were used for the project: collections, numpy and pandas for calculation and data analysis, seaborn and matplotlib for visualizations. There are around 1000 games for the PS4 and 600 for the XBox One (may have same games), making this project have a decent size considering that there are only 5 years in the dataset (PS4 and XBox One was released on 2013). The selected datasets contain the following columns: Game, Year, Genre, Publisher, North America, Europe, Japan, Rest of World, and Global. Albeit the dataset has three csv files, we are only using two since the focus of this study is only on the PS4 and XBox One. The dataset used is "Video Game Sales Dataset" from kaggle ( ). The factors included in this study are genre, year, region, and publisher. This project may benefit the video game publishers reading this as everything analyzed refers to the correlation of factors to sales. The project's aim is to learn what factor influences the most sales for a video game. Analysis of PS4 and XBOX One Video Game Sales
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