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Data Analysis Guide

Answer four quick questions and get personalised method recommendations β€” plus an AI guide you can ask anything.

Step 1 of 4
What is your main analysis goal?
πŸ“Š
Describe data
Summarise, visualise, or explore patterns
βš–οΈ
Compare groups
Test if groups differ significantly
πŸ”—
Explore relationships
Find correlations or predict outcomes
πŸ—‚οΈ
Classify or segment
Group items or assign categories
Step 2 of 4
What type of outcome variable do you have?
πŸ“ˆ
Continuous / numeric
Height, weight, temperature, sales figures
🏷️
Categorical
Yes/No, groups, types
πŸ”’
Ordinal / ranked
Survey ratings, Likert scales, rankings
πŸ•
Time-series
Measurements at regular time intervals
Step 3 of 4
How many groups or predictors are you working with?
1️⃣
One group
Describing or testing a single sample
2️⃣
Two groups
Comparing two independent or paired groups
πŸ”’
Three or more
Multiple groups or many predictors
❓
Not sure
Help me figure this out
Step 4 of 4
What is your experience level with statistics?
🌱
Beginner
New to stats β€” explain from the ground up
πŸ“š
Intermediate
Some stats knowledge, familiar with basics
πŸŽ“
Advanced
Comfortable with statistical theory and code
Your personalised guide
Recommended methods

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