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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?
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Describe data
Summarise, visualise, or explore patterns
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Compare groups
Test if groups differ significantly
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Explore relationships
Find correlations or predict outcomes
ποΈ
Classify or segment
Group items or assign categories
Step 2 of 4
What type of outcome variable do you have?
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Continuous / numeric
Height, weight, temperature, sales figures
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Categorical
Yes/No, groups, types
π’
Ordinal / ranked
Survey ratings, Likert scales, rankings
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Time-series
Measurements at regular time intervals
Step 3 of 4
How many groups or predictors are you working with?
1οΈβ£
One group
Describing or testing a single sample
2οΈβ£
Two groups
Comparing two independent or paired groups
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Three or more
Multiple groups or many predictors
β
Not sure
Help me figure this out
Step 4 of 4
What is your experience level with statistics?
π±
Beginner
New to stats β explain from the ground up
π
Intermediate
Some stats knowledge, familiar with basics
π
Advanced
Comfortable with statistical theory and code
π¬ Ask your guide anything
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