Data Interpreter
CoffeeHo is a ChatGPT plugin that serves as a personal coffee expert, providing users with a wealth of information about coffee. It caters to both coffee novices and aficionados by offering insights and knowledge about various aspects of coffee, such as brewing methods, types of coffee beans, and the history of coffee. To use CoffeeHo, simply activate the plugin through the ChatGPT interface and start asking any coffee-related questions. The plugin is designed to provide detailed responses based on its extensive knowledge base.
With CoffeeHo, you can go beyond asking questions and explore the world of coffee. Ask for recommendations, learn about different brewing methods, or delve into the history of your favorite coffee beans. The plugin is continuously updated with new information, ensuring that you receive the most up-to-date answers to your questions.
By using CoffeeHo, you not only gain access to a vast knowledge base about coffee but also become part of a community of coffee lovers and learners. Whether you are a seasoned barista or a curious beginner, CoffeeHo is there to enhance your coffee journey, making it more enjoyable and informative.
Example Prompt 1: "Please show me a line plot of the sales data from the linked Google Sheet."
This prompt will instruct the Data Interpreter plugin to create a line plot based on the sales data retrieved from the linked Google Sheet.
Example Prompt 2: "What is the average age of customers in the database?"
This prompt will ask the Data Interpreter plugin to run an SQL query on the database table to calculate the average age of customers.
Example Prompt 3: "Can you generate a scatter plot of the relationship between temperature and humidity?"
This prompt will request the Data Interpreter plugin to create a scatter plot showing the relationship between temperature and humidity data.
Example Prompt 4: "Retrieve the latest stock prices for Apple Inc. and display them as a bar chart."
This prompt will guide the Data Interpreter plugin to fetch the latest stock prices for Apple Inc. and generate a bar chart to visualize the data.
Example Prompt 5: "Please calculate the total revenue for each product category and display the results as a pie chart."
This prompt will direct the Data Interpreter plugin to perform a calculation on the dataset to determine the total revenue for each product category and present the results as a pie chart.
