Overview
Code Mode enables non-technical users to perform data analysis, create visualizations, and generate statistical summaries using natural language prompts. Upload a CSV file and use conversational commands to analyze trends, create charts, and format results for stakeholders—no coding required.
Learning Objectives:
Upload and analyze CSV data using natural language
Generate statistical summaries and breakdowns
Create line charts, bar charts, and other visualizations
Repurpose analysis into emails and business formats
Prerequisites
You'll Need:
Active TeamAI account
CSV file with data to analyze
Basic understanding of your dataset
Clear idea of insights you want to extract
Access Code Mode
Enable Data Analysis Environment
Navigate to chat interface
In left panel, click "Chats"
Activate Code Mode
Locate "Modes" section at bottom of chat window
Click "Code Mode" option
Result: TeamAI switches to data analysis mode with optimized AI model for code execution.
Tip: Uploading a CSV file automatically switches to Code Mode even if you're in Web Search Mode.
Upload Data
Import CSV File
Click upload button
Click "+" icon in chat input area
Select "Upload File" from menu
Select CSV file
Choose file from your computer
File must have clear headers in first row
Confirm upload
File name appears in chat input
TeamAI confirms file is ready for analysis
Result: CSV data is loaded and ready for analysis commands.
Warning: Very large CSV files may take longer to process. Ensure headers are clear to avoid confusion.
Request Basic Analysis
Get Statistical Summary
Enter analysis prompt
Type: "Give me a detailed breakdown of this sheet"
Press Enter to send
Review statistical output
Code Mode returns:
Measures of central tendency (mean, median)
Measures of dispersion (standard deviation)
Minimum and maximum values
Data distribution insights
Result: Comprehensive overview of your dataset's characteristics.
Create Visualizations
Generate Charts
Request specific chart
Be explicit: "Give me a line chart showing closing price by month"
Specify axes: "Use Date column for X-axis and Price column for Y-axis"
Enter prompt
text
Copy
Create a line chart showing monthly closing prices X-axis: Date column Y-axis: Closing_Price column
View generated chart
Chart appears directly in chat interface
Professional visualization with proper labels
Visual trends and patterns are immediately visible
Result: Professional chart displaying your data trends.
Best For: Time-series data like stock prices, sales figures, performance metrics
Tip: Try different chart types (bar, scatter, pie) to find what best highlights your patterns.
Repurpose Analysis
Format for Business Use
Request format change
Example: "Put this analysis into an email for my boss"
Alternative: "Format as a bullet-point summary for stakeholders"
Specify audience
Mention stakeholder type: "Make this technical analysis understandable for non-technical managers"
Result: Analysis translated into business-friendly language ready to share.
Best Practices
Be specific - Request particular statistical measures or chart types
Specify axes - Clearly state which columns for X and Y axes
Check date formats - Ensure CSV has properly formatted date columns for time-series
Experiment - Try different visualizations for same data
Follow up - Ask clarifying questions about specific data points
Start simple - Request basic breakdown before complex analysis
Common Questions
Q: What file types can I analyze?
A: CSV is primary. Also supports Excel, JSON, and potentially databases.
Q: Can Code Mode handle missing data?
A: Yes. It identifies and reports missing values in your dataset.
Q: How complex can visualizations be?
A: You can request specific chart types with particular columns on each axis. Advanced multi-series charts are supported.
Q: Can I export visualizations?
A: Yes. Most visualizations can be copied/pasted as images.
Q: Does it support predictive analysis?
A: Demo focused on descriptive statistics, but you can request predictions, correlations, and trend forecasting with specific prompts.