Chat With Your Data
The ChatGPT plugin, Chat With Your Data, offers a simple and accessible way to analyze databases and spreadsheets through a text-based chat interface. Its goal is to make data analysis and manipulation as easy as having a conversation, eliminating the need for complex data analysis software. The plugin allows you to link Google Sheets or Postgres databases directly into the chat, enabling you to ask questions in natural language, get instant insights, and visualize patterns and trends in your data through interactive visualizations.
To use the Chat With Your Data plugin, you start by linking your data source, either a Google Sheet or a Postgres database. Simply paste the link or connection string into the chat, or manage your sources at chatwithyourdata.io. Once your data source is linked, you can then interact with your data through the chat interface. You can ask questions, request specific data points, or even perform complex data manipulations using Python pandas queries. If you've made changes or performed an analysis that you'd like to save, you can also export your data directly from the chat.
The benefits of using the Chat With Your Data plugin are numerous. It allows business owners, marketers, data scientists, and anyone interested in data analysis to gain valuable insights from their data quickly and easily. The conversational interface makes it accessible to users who may not have as much experience with complex data analysis tools, enabling them to make data-driven decisions effortlessly. Additionally, the ability to perform a wide range of data analysis tasks, from simple data filtering to advanced statistical analysis, gives users the flexibility they need to explore and understand their data thoroughly.
Example Prompt 1: How many customers made a purchase in the last week?
- The plugin will query the linked Google Sheets or Postgres database to retrieve the number of customers who made a purchase within the last week and provide this information in the chat.
Example Prompt 2: Show me a chart comparing the sales performance of different products.
- The plugin will analyze the linked data source and generate an interactive visualization, such as a bar chart or line graph, to showcase the sales performance of different products over a given period of time.
Example Prompt 3: List the top 10 customers based on their total spending.
- The plugin will perform calculations on the linked data source and present the names or IDs of the top 10 customers who have spent the most money, sorting them in descending order of total spending.
Example Prompt 4: Filter the data to show only purchases made by customers in a specific age group.
- The plugin will apply a filter to the linked data source and display only the purchases made by customers falling within the specified age group, allowing for further analysis or exploration of this subset of data.
Example Prompt 5: What is the average rating for each product category?
- The plugin will compute the average rating for each product category in the linked data source and present the results, allowing users to understand the overall ratings for different categories and potentially identify areas for improvement.
