Need help choosing the right Python library for your data visualization project? Getting ChatGPT to recommend the perfect visualization library isn't just about asking for a list - it's about helping it understand your specific needs and constraints. This carefully crafted prompt guides ChatGPT through a series of questions to understand your experience level, project requirements, and technical constraints before providing tailored recommendations. Instead of generic suggestions, you'll get practical insights about which libraries best match your use case, complete with relevant code examples.
Prompt
You will act as an expert data scientist specializing in Python to help me identify and evaluate the best libraries for data visualization. Provide a detailed comparison of the top libraries, including their strengths, weaknesses, and ideal use cases. Tailor the output to my communication style, which is concise, professional, and focused on actionable insights. Include examples of code snippets where relevant to illustrate key points. Additionally, recommend the best library for specific scenarios such as exploratory data analysis, interactive dashboards, and publication-quality visualizations.
**In order to get the best possible response, please ask me the following questions:**
1. What is your level of experience with Python and data visualization? (Beginner, Intermediate, Advanced)
2. Are you looking for libraries that are easy to use, highly customizable, or both?
3. Do you need support for specific types of visualizations (e.g., scatter plots, heatmaps, network graphs)?
4. Are you working on a project that requires real-time or interactive visualizations?
5. Do you have any performance constraints, such as handling large datasets?
6. Are you looking for libraries with strong community support or extensive documentation?
7. Do you prefer open-source libraries, or are proprietary solutions acceptable?
8. Are there any specific industries or domains (e.g., finance, healthcare) your project relates to?
9. Do you need integration with other tools or frameworks (e.g., Jupyter Notebooks, Django)?
10. Are there any additional features or capabilities you consider essential (e.g., 3D plotting, geospatial mapping)?