With the help of the AI tool Deepsheet, you can ask questions about your data in everyday language and get answers in return. This application offers a chat interface for users to communicate and query their data and accepts a range of dataset types, including CSV, XLSX, TSV, or JSON.
Regardless of the size, complexity, or nature of the data, Deepsheet can extract and analyze important insights from it. For non-technical users, the tool’s accessible presentation of the results makes it simple to comprehend and act on the findings.
Deepsheet is a Python-based application that supports a REPL (Read-Eval-Print Loop), which enables users to execute Python scripts directly from the user interface. Users can also access an example dataset from Deepsheet to get a sense of the tool’s capabilities and a real-world use case.
Dylan Castillo developed Deepsheet with the user’s experience in mind. Streamline designed the Deepsheet logo, which is a web-based platform to reach a larger audience.
Overall, Deepsheet is a conversational AI tool designed for data analysis that takes the complexity out of the process, and provides users with meaningful insights.