Game-Performance-Analysis

Using Riot Games to analyze player trends

Project Goal:

Analyze player performance data to identify trends, strengths, weaknesses, and opportunities for improvement, and present these insights in an easy-to-understand format.

Dataset:

Riot Games API(League of Legends)

Steps:

1. Data Collection
   • Use Riot Games API to collect data on player performance
   • Save collected data as JSON
2. Data Processing and Storage
   • Clean and process data using python
   • Transform data into a structured format and store in cloud provider
3. Data Analysis
   • Analyze the processed data to identify trends, patterns, and correlations
     • Comparing champion performance across different game modes or skill levels
     • Identifying the most impactful in-game actions, such as objectives taken, wards placed, or kill participation
     • Examining player progression over time, including improvements in key performance indicators
4. Data Visualization
   • Visualize analysis using python
   • Use Heat maps, Line charts, Scatter plots
5. Documentation and Presentation
   • Document each step of the project
   • Present findings and insights
   • Compile project into portfolio