Using Riot Games to analyze player trends
Analyze player performance data to identify trends, strengths, weaknesses, and opportunities for improvement, and present these insights in an easy-to-understand format.
Riot Games API(League of Legends)
- Data Collection
- Use Riot Games API to collect data on player performance
- Save collected data as JSON
- Data Processing and Storage
- Clean and process data using python
- Transform data into a structured format and store in cloud provider
- 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
- Analyze the processed data to identify trends, patterns, and correlations
- Data Visualization
- Visualize analysis using python
- Use Heat maps, Line charts, Scatter plots
- Documentation and Presentation
- Document each step of the project
- Present findings and insights
- Compile project into portfolio