ChatGPT for Data Analysis: A Practical Tutorial
You don't need to learn Python to analyse a messy CSV anymore. Here's the ChatGPT workflow we use daily.
By AI Productivity Hub Editorial Team9 min read
ChatGPT's data-analysis features turn a messy CSV into a chart in minutes. No Python, no Excel formulas — just plain English.
The 4-step workflow
- Upload the CSV to ChatGPT.
- Ask it to describe the columns and quality issues.
- Ask for the specific cut, pivot or chart you need.
- Export results back to CSV or as a chart image.
Useful prompts
- 'Clean missing values and explain what you changed.'
- 'Show me the top 10 customers by revenue this quarter.'
- 'Group sales by month and visualise as a bar chart.'
- 'Highlight any anomalies in this dataset.'
Key takeaways
- ChatGPT can replace 80% of ad-hoc Excel work.
- Always sanity-check the output against a known number.
- Use Enterprise plans for sensitive data.
Sources & further reading
Frequently asked questions
Is this available on free?
Limited data-analysis features are on free; full features on paid plans.
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