How to Analyze Data with OpenClaw
Upload CSVs, run Python analysis, generate charts, and get insights -- all through conversation.
Introduction
Data analysis traditionally requires knowledge of Python, R, SQL, or specialized tools. An OpenClaw agent with code execution lets you analyze data through natural language. Upload a CSV, ask a question, and the agent writes and runs the code to find the answer -- complete with charts and visualizations.
Prerequisites
- A KiwiClaw account with an active agent (setup guide)
- Standard or Enterprise plan (code execution requires sandbox access)
- Data files to analyze (CSV, JSON, Excel)
Step-by-Step Instructions
Step 1: Enable Code Execution
Ensure your agent has sandbox access enabled in settings. This gives the agent a secure environment to write and run Python scripts for data analysis.
Step 2: Upload Your Data
Use the Files page in your agent dashboard to upload CSVs, JSON files, or Excel spreadsheets. The agent can access these files when running analysis.
Step 3: Ask Your Questions
Describe what you want to know in plain language:
"Analyze the sales data in sales_q1.csv. Show me monthly revenue trends, top 10 products by revenue, and customer segments by purchase frequency. Generate charts for each."
Step 4: Review and Refine
The agent produces analysis, charts, and written insights. Ask follow-up questions to drill deeper into interesting findings. The agent remembers context from previous analysis steps.
Step 5: Schedule Recurring Reports
For data that updates regularly, use cron jobs to run analysis automatically and deliver reports to Slack or email.
Pro Tips
- Use the Data Analyst template for a pre-configured analysis environment.
- Be specific about output format -- Ask for tables, charts, or written summaries depending on your audience.
- Combine with web data -- The agent can scrape web data and analyze it alongside your uploaded files.
- Export results -- Ask the agent to save analysis results as new CSV files for use in other tools.
Frequently Asked Questions
What data formats does OpenClaw support for analysis?
OpenClaw can analyze CSV, JSON, Excel (.xlsx), TSV, and plain text files. The agent uses Python with pandas, matplotlib, and other data science libraries to process your data. It can also fetch data from APIs and web pages.
Do I need to know Python to analyze data with OpenClaw?
No. You describe what you want in plain English, and the agent writes and runs the Python code for you. You can ask for charts, statistical analysis, summaries, and more without writing a single line of code.
Can the agent handle large datasets?
The agent can handle files up to several hundred megabytes. For very large datasets, it uses efficient pandas operations and sampling techniques. If your data exceeds memory limits, the agent will suggest approaches like chunked processing.