Analytics you can touch
An interactive reference for analysts: statistics, metric trees and a glossary. No sign-up, no lectures.
Three sections
Statistics
Drag the charts and build intuition β from the mean to Bayes.
For people learning, or preparing for an interview.
Open βMetric trees
Ready-made trees: North Star β drivers β guardrails, with real-company breakdowns.
For people designing metrics for their own product.
Open βGlossary
Plain-word definitions, searchable in English and Russian.
For when you need a quick reminder.
Open βWhy people come here
- Preparing for an interviewhypothesis testing Β· A/B test Β· statistical criteria
- Need to build a metric tree for my productstart with the basics of metrics
- Forgot what a p-value or CAC islook it up in the glossary
About the project
When you learn statistics, the formulas stick but the picture in your head does not. This site is an attempt to fix that: not lectures and not a textbook, but the intuition you cannot print on paper.
To be straight: this is a side project, built by one person, and it is not finished. Some topics are still rough and will be rewritten. Found an error or something unclear β write in, that is the most useful thing you can contribute.
Leave feedback βData analytics in plain words: how to count metrics, how not to fool yourself in an A/B test, what gets asked in interviews and how this site gets built. The channel is in Russian.