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Visuogen

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Visualizes CSV data with charts and allows for effortless creation, editing, and evaluation.

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October 18, 2023
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Description

Generated by ChatGPT

Visuogen is a sophisticated ChatGPT plugin designed for data visualization and analysis. It offers a range of features to help you understand your data better, visualize it in various formats, and even evaluate or edit the visualizations. Whether you are a data analyst, a researcher, or someone curious about data, this plugin provides a comprehensive solution for your data visualization needs.

How to use:

1. Installation

To get started, you can either search for Visuogen in the ChatGPT plugin store and install it, or simply press the "try it" button at the top right of this page to open a chat in ChatGPT with the plugin already activated.

2. Data Upload

Upload your CSV data file to the plugin. The plugin prefers files hosted on GitHub, but you can also upload directly.

3. Summary

Use the '/summarize' endpoint to get a concise summary of your data. This will give you an overview of the dataset, including field names, data types, and basic statistics.

4. Goal Setting

Based on the summary, you can set visualization goals. The plugin allows you to specify a 'persona' to customize the goals according to specific backgrounds or perspectives.

5. Visualization

Once the goals are set, use the '/visualize' endpoint to create visual representations. You can choose from various libraries like matplotlib, seaborn, or ggplot for the visualizations.

6. Evaluation

If you're curious about the mechanics behind the visualizations, the '/visualize/evaluate' endpoint allows you to evaluate the Python code behind them.

7. Editing

For any on-the-fly modifications, use the '/visualize/edit' endpoint. You can provide specific instructions for editing the visualizations.

8. Prompt Examples

  • "Summarize my sales data for the last quarter."
  • "Create goals for analyzing customer behavior."
  • "Visualize the age distribution of my customers."
  • "Evaluate the code behind the revenue trend visualization."
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