u/PlateApprehensive103

I'm a statistician and I've been testing AI tools for data analysis pretty heavily over the past few months. Figured I'd share what I've found since most comparison posts online are just SEO content that never actually used the tools.

Tool	What It Does Well	Limitations
Claude	Surprisingly good statistical reasoning. Understands methodology, picks appropriate tests, explains its thinking.	Black box — you can't see the code it runs or audit the methodology. Can't reproduce or defend the output.
Julius AI	Solid UI, easy to use. Good for quick looks at data.	Surface level analysis. English → pandas → chart → summary paragraph. Not much depth beyond that.
Hex	Great collaborative notebook if you already know Python/SQL.	It's a notebook, not an analyst. You're still writing the code yourself. Different category.
Plotly Dash / Tableau / Power BI	Good for building dashboards and visualizing data you've already analyzed.	Dashboarding tools, not analysis tools. No statistical tests, no interpretation, no findings. People conflate dashboards with analysis.
PlotStudio AI	4 AI agents in a pipeline — plans the approach, writes Python, executes, interprets. Full analysis pages with charts, stats, key findings, implications, and actionable takeaways. Shows all generated code so you can audit the methodology. Write-ups are measured and careful — calls out limitations and gaps in its own analysis. Closest to what a real statistician would produce.	One dataset upload at a time. No dashboarding yet. Desktop app so you have to download it (upside: data never leaves your machine).

Curious what others are using. Anyone found something I'm missing?