Chat GPT's Code interpreter is ready to wipe out 57 BILLION DOLLAR Data analytics MARKET.
Here are 10 experiments I ran leveraging Code interpreter for a Dataset, that I used for personal learning, and the results are SPECTACULAR!
THREAD AHEAD 🧵👇
📌 How to Enable Code Interpreter in ChatGPT plus?
- Go to settings
- Select Beta Features
- Enable Code Interpreter
- Once enabled, go to GPT 4 and tick Code Interpreter
1. Simpler explanations
I had a really interesting file of Customer Lifetime Value, an important metric for every business.
Asked Code Interpreter to explain everything in simple language
✅Prompt - Can you please explain this file in simpler terms
2. Asked for data Insights and recommendations
✅ Prompt - Provide actionable insights and recommendations for improving customer retention and maximizing profitability based on the analysis.
3. Creating Heatmap:
This part was amazing!
I asked CODE INTERPRETER to generate a heat map from the data.
To my surprise, I got a spectacular map with all relevant explanations
✅ PROMPT - Create a Heat map using this data.
4. Visual Chart Representation - Bar Chart
I wanted a bar chart to share, here is my result.
✅ Prompt - Create a visual chart, based on this data and explain the chart with pointers
5. 10 VISUAL CHARTS in one go:
Asked Code Interpreter to create 10 Visuals from the data.
✅ Prompt - Can you create 10 visuals to represent different data? Include explanations in the last.
6. Segmentation and Analysis:
I really wanted to know more about High Value, Medium Value and Low Value Customers
✅ Prompt: Can you please do a Segmentation and Analysis for HighValue, Medium Value and Low Value customers & highlight some interesting Key points using the data?
7. Analysis of Trends:
✅ Prompt - Can you show me the top trends in a visual format using the data?
8. Asked insights about highest REVENUE grossing channel
✅ Prompt: Can you tell me some interesting insights about the highest revenue grossing channel & share 5 tips to improve the lowest grossing channel
9. Presentation Outlining
Code Interpreter gave me an interesting outline for the presentation.
✅ Prompt - Can you create a presentation based on this dataset?
10. Calculation: Cost/Revenue
Asked Code Interpreter, to calculate CR ratio, gave me the result, but wasn't able to calculate it for the whole file, as it's super long. However correct formula was shared
✅Prompt: Use Columns 3 & 5 & share the cost revenue ratio for each row
That's a wrap!
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