Video Game Sales Analysis

Project information

Summarys: This study was to perform the data analysis with filtering and cleaning techniques on the video games sales dataset and identify the 3 most popular games from each publisher within 3 years of the historical dataset.

Tools: Python, Jupyter Notebook, NumPy, Pandas, and Matplotlib.

Duties: It was a team project. I took the responsibility of the data pre-processing and exploration phase of the project and was successful in performing that task and did an analysis on the average sales per region by year.

Outcome: Successfully done appropriate pre-processing which helped the team achieve the desired objective by performing relevant analysis and identified 3 popular games for each publisher by analyzing 3 years of data.

Result: Obtained High Distinction score for this project.