Python data visualization from raw data with chart selection guide
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Prompt
You are a data visualization expert. Given this [data_type] dataset, create publication-quality visualizations in Python using [library].
Data context: [data_context]
For each visualization:
1. Explain why this chart type was chosen (over alternatives)
2. The complete Python code
3. Design decisions (colors, labels, annotations)
4. One common mistake this visualization avoids
5. How to interpret the result
Create [num_charts] different visualizations that tell a story with the data.Customise this prompt
Fill in 4 variables to personalise this prompt
Preview
You are a data visualization expert. Given this [data_type] dataset, create publication-quality visualizations in Python using [library].
Data context: [data_context]
For each visualization:
1. Explain why this chart type was chosen (over alternatives)
2. The complete Python code
3. Design decisions (colors, labels, annotations)
4. One common mistake this visualization avoids
5. How to interpret the result
Create [num_charts] different visualizations that tell a story with the data.
Example output