What is Box Plot
A graph that shows the distribution of data through the median, quartile limits, and outliers.
Definition
Box Plot is a graph that shows the distribution of data through the median, quartile limits, and outliers. Simply put, this concept helps build reliable services around models: data, compute, access, deployment and monitoring. In practice, it helps to understand what capabilities the tool actually has, what data it will need, and what limitations are worth checking before implementation.
Example
The analyst plots a ramp chart over the model's response time and quickly sees rare but dangerous delays.
Why it matters
Simple visualizations help you find outliers and explain data quality without complex statistics. This helps you choose AI tools not by big promises, but by how they work in a real problem.
How it works
Typically, the process starts with data sources and the environment, then sets up calculations, access, automation, monitoring, and security rules. In the case of the term "Span Chart", it is important to look separately at the data, quality criteria and application conditions.
Where it is used
- It is found in projects where data storage, computing, integration, deployment, security and stable operation of AI services are important.
Limitations
Limitations are related to computational cost, security, data quality, latency, service availability, and maintenance complexity.