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Deepsheet

Deepsheet allows users to select datasets, chat, and write Python code for dynamic data analysis.

Data Analytics Updated 1 hour ago
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Deepsheet

Deepsheet's Top Features

Support for CSV, XLSX, TSV, and JSON formats
Dynamic Chat and REPL interface
Capability to clear chat interactions
Option to try a Pro version
Status indicators for task monitoring
Load and analyze sample datasets
Write and execute Python code
View output and source code
Comprehensive data manipulation capabilities
Interactive elements for enhanced user experience

Frequently asked questions about Deepsheet

You can use datasets in CSV, XLSX, TSV, and JSON formats with Deepsheet.

Deepsheet supports the execution of Python code.

Yes, Deepsheet offers a Pro version with additional features.

Yes, Deepsheet allows users to load sample datasets for analysis.

The Chat and REPL sections allow users to send messages, interact dynamically, write Python code, and view the output and source code.

Yes, Deepsheet includes status indicators to show loading states and other status updates.

Yes, there are options to clear chat interactions in Deepsheet.

You can perform various data analyses, including manipulating datasets and running Python scripts to generate insights and outputs.

While specifics aren't detailed, platforms like Deepsheet typically include user guides or help sections to aid in navigation and usage.

The information provided does not specify collaboration features, but the Chat and REPL sections indicate potential for collaborative interactions.

Deepsheet's pricing

Pro

$0/custom

  • Access to all datasets
  • Chat and REPL functionality
  • Run Python code

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