Julius

Julius, from Julius AI. Analyzing a spreadsheet by asking questions in plain language.

What it does well

• Exploring a CSV or Excel file: summaries, charts, outliers
• Running standard statistical tests and explaining the output
• Cleaning messy columns before analysis

What it does poorly

• Sensitive or identifiable data
• Analysis you can't check the code for

What makes it different

Built only for data: it writes and runs Python or R behind each answer, and shows the code so you can check it.

Quick start

1. Upload a CSV and ask: “Describe this dataset and flag anything odd.”
2. Ask for one chart that answers a specific question.
3. Open the generated code and check what it did to missing values.
4. Ask it to run the same analysis a second way and compare.

Strengths and limits

• Strength: Shows its code
• Strength: Good charts
• Strength: Low barrier for non-programmers
• Limit: Free tier has message limits
• Limit: Makes silent assumptions about messy data

Privacy

Don't upload human-subjects data, student records or anything under a data use agreement.

Academic integrity

Report the analysis you ran, and be able to explain every step.