This detailed tutorial continues to explore the capabilities of ChatGPT in data analysis, focusing on advanced data aggregation methods. Building on previous tutorials where we summarized data, this session dives into how to perform complex calculations such as averages, maximum and minimum values, counts, and unique counts using ChatGPT. Perfect for users who want to deepen their data analysis skills using ChatGPT’s advanced features.
🔍 What You'll Learn:
• Different methods of aggregating data in ChatGPT, including average, max, min, and count.
• How to apply these aggregation techniques to real-world data scenarios.
• Advanced formatting and calculation tips to enhance data tables in ChatGPT.
• Troubleshooting common issues in data aggregation with practical solutions.
If you would like to download the sales data file used for the tutorial, please go to www.ianlittlej...
🚀 Tutorial Highlights:
• Starting Simple: Refresh on how to upload data and list fields using ChatGPT.
• Complex Aggregations: Step-by-step guidance on adding sophisticated calculations to your data tables.
• From Theory to Practice: Real-world examples including calculating average sales per region and exploring customer transaction data.
• Troubleshooting Tips: Insights into common data formatting issues and how to resolve them in ChatGPT.
📝 Please Note:
Ensure you have the appropriate licensing from OpenAI to use ChatGPT. This tutorial is suitable for users of most internet browsers like Safari, Chrome, and Edge.
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🔗 Watch Next:
Stay tuned for further tutorials that delve deeper into the capabilities of ChatGPT and explore additional features.
Join us in this tutorial and start transforming your data into actionable insights today!