Contribution Plot
🕵️♂️ What is this?
This is a crime scene analysis chart. It allows you to dig deeper: Who exactly caused this sample anomaly?
It compares the difference between an abnormal sample and a normal sample, and assigns responsibility to specific variables.
🧐 How to read?
- Columns: Each column represents a variable.
- Height: Represents the contribution of this variable to the anomaly.
- Positive/Negative:
- Positive: This variable is too high compared to normal values.
- Negative: This variable is too low compared to normal values.
🛠️ How to use?
- Find the culprit: Look at the tallest column - it's the main cause of the anomaly!
- Investigate the reason: For example, if "temperature" has the greatest contribution, check if the air conditioner broke down that day.