NotebookLM
optionalQuick data profiling and initial exploration.
Standard Free · Plus $7.99/mo · Pro $19.99/mo · Student (Pro) $9.99/mo · Ultra 20TB $99.99/mo · Ultra 30TB $200/mo · Enterprise $9/moOpen dossier →
Data analysis stack
Researchers who need reproducible data analysis with clear documentation.
Before you start
- Basic Python or R familiarity
- A dataset to analyze
The stack at a glance
Stack cost calculator
Required tools from Free – $27.990000000000002/mo per month when every seat is on the cheapest monthly tier.
- NotebookLMoptionalFree·$7.99/mo
- ClauderequiredFree·$20/mo
Vendor annual plans, usage billing, and team seats can change the real bill. Treat this as a floor, not a quote.
Profile, clean, analyze, and document data in a reproducible notebook workflow.
Claude
requiredGenerate cleaning code, explain statistics, and review analysis logic.
Free Free · Pro $20/mo · Max 5× $100/mo · Max 20× $200/mo · Team Standard $25/mo · Team Premium $125/mo · Enterprise Custom · API CustomOpen dossier →
How the pieces fit together
- Profile the raw data first — shape, types, missing values.
- Write cleaning steps with comments explaining each transformation.
- Use Claude to review analysis code for logical errors.
- Document findings in markdown cells with visualizations.
This stack only earns its keep when you actually follow the run order.
- Never run analysis on unprofiled data — you'll miss silent failures.
- Claude-generated pandas code may use deprecated methods — verify API compatibility.
- Notebooks are not version control — commit to git regularly.