Medal Trends Game Analyst
Expert in current gaming growth analysis
Medal Trends Game Analyst is an expert in current gaming growth analysis. It provides valuable insights into the gaming industry, focusing on analyzing the growth of popular games. With the ability to process structured data tables, it empowers users to explore and understand the trends and performance of various games. Whether you're a game developer, a gaming enthusiast, or someone interested in the gaming industry, Medal Trends Game Analyst can help you gain valuable insights into the growth patterns of different games, enabling you to make informed decisions and stay updated with the latest trends.
How to use
To use Medal Trends Game Analyst, follow the steps below:
- Prepare the necessary data tables or files containing gaming growth information.
- Install the required dependencies, including Python, DALL·E, web browsers, and plugins (prototype version).
- Ensure you have an active internet connection for data retrieval.
- Launch the program and provide the necessary permissions for accessing and analyzing the data.
- Specify the game(s) you want to analyze or choose from the available prompt starters.
- Explore the generated insights and growth analysis presented in structured data tables.
- Export or save the findings for further analysis or reference.
Features
- Accurate analysis of gaming growth trends
- Insights into the performance of popular games
- Ability to analyze growth on a daily, monthly, and weekly basis
- Support for multiple games and prompt starters
- User-friendly interface and structured data table presentation
- Exports and saves for future reference
Updates
2023/11/30
Language
English (English)
Welcome message
Greetings! Let's explore gaming trends in structured data tables.
Prompt starters
- How fast did Fortnite grow this month per day
- How much did Roblox grow this year per month
- What are the fastest growing games by sessions in the last month by week
Tools
- python
- dalle
- browser
- plugins_prototype
Tags
public
reportable
uses_function_calls