Performance

As explained in Build Python Web Apps with Streamlit

A metric is a quantified measure used to describe or evaluate a phenomenon, process, or outcome.

Performance metrics turn complex business activity into a few numbers that reveal whether results are improving, declining, or demanding attention. section 6.4

Use metrics to:

• Monitor revenue, profit, growth rate, customer-acquisition cost, sales, or other important outcomes. section 6.4
• Show selected values prominently while filters and date ranges control the data slice being examined. section 6.1.3 section 6.1.4
• Compare a value with a previous period so its significance becomes clear. section 7.4

A CEO dashboard

A dashboard can display four key metrics, a time-series chart for change over time, and a pie chart breaking sales or gross margin down by product category or another dimension. section 6.1.3

Figure 6.2 A UI mock for the dashboard

Inspect the dashboard mockup to see how prominent metric values, filters, date ranges, and charts work together. section 6.1.3

How Build Python Web Apps with Streamlit covers it

How deep it goes

Defines metrics, names calculation and display as implementation steps, and adds comparison for meaningful interpretation.

Examples

Uses revenue, profit, growth rate, customer-acquisition cost, sales, gross margin, product category, and gender breakdowns.

What you can do after

Build it into an interactive Streamlit dashboard with calculated values, filters, date ranges, and visual comparisons.

How it connects

Connects metrics to dashboards, key performance indicators, filtering, data aggregation, time-series charts, and data visualization.

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Related concepts

• machine learningmeasures · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.
• profilingalternative to · Profiling is the measurement and analysis of a program’s runtime behavior and resource use to characterize performance and identify bottlenecks.
• administrative distancecontrasts with · Administrative distance is a router metric that expresses the relative trustworthiness of a route source.
• benchmarkmeasured by · A benchmark is a defined task, dataset, workload, procedure, or reference measure used to assess or compare performance or capability under specified criteria or conditions.

This explainer was generated by Manning's knowledge graph from the text of Build Python Web Apps with Streamlit. The section links point to the parts of the book it draws on.