This example defines a structured architecture for building analytics dashboards with Python and Plotly Dash. It establishes a hierarchy where atomic chart types like `create_bar_chart()` and `create_line_chart()` form composable building blocks that combine into higher-level composite visualizations, such as KPI cards with sparklines. The code specifies a standard function signature pattern that accepts tidy-format Pandas DataFrames and supports returning either Plotly `go.Figure` objects or Dash `dcc.Graph` components for flexible reuse. A configuration file provides named color schemes, while the design principles emphasize loose coupling, high cohesion, and BDD/TDD testing practices.