When building a KPI dashboard in React, you often need to display several types of charts—such as line, bar, and pie charts—together on a single page. Each chart typically represents a key performance indicator (KPI) and receives its own set of data. To manage and pass data to multiple chart components efficiently, you should keep the data in a centralized state, such as in a parent dashboard component. This allows you to easily update and distribute the relevant data to each chart by passing it as props. For example, you might store your sales data, user growth data, and product category breakdowns in the parent component's state, then pass the appropriate slice of data to each individual chart.

To keep your dashboard visually consistent and interactive, it's important to synchronize chart updates and ensure uniform styling. Synchronizing updates means that if your data changes—such as when a user selects a new date range or applies a filter—all relevant charts should update together. You can accomplish this by managing all chart data in the parent component's state and triggering updates through controlled inputs or events. For consistent styling, define a shared style guide or theme for colors, fonts, and layout. You can create a style object or use CSS variables to standardize chart options like color palettes, font sizes, and legend positions, then pass these options as props to each chart component. This ensures that your dashboard feels cohesive, even when displaying different types of charts.

Maintaining dashboard performance and scalability is crucial as your application grows. To ensure optimal performance, avoid unnecessary re-renders by using React's memoization techniques, such as React.memo or useMemo, especially for chart components that receive large datasets. Only update charts when their specific data changes, rather than re-rendering all charts on every state update. For scalability, design your dashboard so that adding new charts or KPIs requires minimal changes to the existing structure. Use reusable chart components and keep your data and configuration logic modular. This approach makes it easier to expand your dashboard in the future without introducing bugs or performance bottlenecks.