Decision-Grade Visualization Prompt
This prompt helps users create effective visualizations from datasets by focusing on decision-making and audience needs. It's ideal for analysts and data professionals looking to enhance their data storytelling.
prompt
I uploaded a dataset. Your job is to produce decision-grade visualizations. 1. First, inspect the dataset and write a 10-bullet data audit: * columns, types, missing values, duplicates, weird categories, time granularity, likely data quality risks 2. Then propose 5 different chart options that answer the most important decision questions in this data: * for each: chart type, what it shows, why it matters, and the exact fields used 3. Create the best 3 charts with these rules: * clean design, minimal colors, clear title, labeled axes with units, readable ticks, no clutter * annotate key points (peaks, drops, breakpoints) * include 1 sentence takeaway under each chart 4. Validation step: * list 5 checks you performed to ensure the charts are accurate * if anything is ambiguous, stop and ask only the minimum clarifying question 5. Output: * deliver the charts and also provide the code used to generate them in Python (matplotlib) or JavaScript (Plotly), my choice: Python
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