Build a Data Dashboard with SavvyUI: Charts, Filters & Tabs

Why Use SavvyUI for Dashboards?

SavvyUI provides a broad set of UI components that simplify the creation of complex desktop applications. The framework includes advanced elements such as charts, grids, menus, tabbed panels, and layout managers that can be combined to build sophisticated interfaces. :contentReference[oaicite:1]{index=1}

Dashboards benefit especially from SavvyUI’s component architecture because developers can quickly assemble analytics views with reusable elements rather than building UI controls from scratch.

Common dashboard components available in SavvyUI include:

• Chart components for data visualization
• Grid tables for large datasets
• Tabbed panes for organizing multiple views
• Combo boxes and lists for filtering
• Buttons and menus for dashboard actions

Dashboard Project Overview

Our example dashboard will visualize sales data for a fictional company. The application will include three main tabs:

• Overview – charts summarizing performance
• Sales Data – detailed table of transactions
• Analytics – filtered insights by region or category

Users will be able to filter the data by region using a dropdown selector.

Step 1 — Creating the Dashboard Layout

SavvyUI provides a powerful layout manager called GridPanel that allows developers to arrange components in rows and columns. This layout manager acts as the structural foundation for many application screens. :contentReference[oaicite:2]{index=2}

class DashboardPanel : public GridPanel
{
	TabPane _tabs;

public:

	DashboardPanel()
	{
		setMargin(10);

		setLayout({-1}, {-1});

		addComponent(&_tabs, 0, 0);
	}
};
							

The dashboard will use a TabPane so each section of the dashboard appears in its own tab.

Step 2 — Adding Tabs to Organize Dashboard Views

The Tabbed Pane component allows multiple panels to be organized under labeled tabs so that users can switch between sections of the interface easily. :contentReference[oaicite:3]{index=3}

class DashboardPanel : public GridPanel
{
	TabPane _tabPane;

	OverviewPanel _overview;
	SalesTablePanel _sales;
	AnalyticsPanel _analytics;

public:

	DashboardPanel()
	{
		_tabPane.addTab(L"Overview", &_overview);
		_tabPane.addTab(L"Sales Data", &_sales);
		_tabPane.addTab(L"Analytics", &_analytics);

		setLayout({-1},{-1});
		addComponent(&_tabPane,0,0);
	}
};
							

Each tab loads a panel that contains its own components and layout.

Step 3 — Adding Charts for Data Visualization

Charts are one of the most important elements in dashboards because they allow users to quickly identify patterns, trends, and comparisons within large datasets. :contentReference[oaicite:4]{index=4}

SavvyUI’s chart component supports multiple visualization styles including bar charts, line charts, and pie charts.

class OverviewPanel : public GridPanel
{
	Chart _salesChart;

public:

	OverviewPanel()
	{
		_salesChart.setType(ChartType::BAR);
		_salesChart.showTypeToggleButtons(TRUE);

		_salesChart.setCategories({
			L"Jan", L"Feb", L"Mar",
			L"Apr", L"May", L"Jun"
		});

		_salesChart.addSeries(L"Sales", RGB(0,144,208));

		_salesChart.addSeriesValue(L"Sales", 12000);
		_salesChart.addSeriesValue(L"Sales", 15000);
		_salesChart.addSeriesValue(L"Sales", 11000);
		_salesChart.addSeriesValue(L"Sales", 18000);
		_salesChart.addSeriesValue(L"Sales", 16000);
		_salesChart.addSeriesValue(L"Sales", 21000);

		setLayout({-1},{-1});
		addComponent(&_salesChart,0,0);
	}
};
							

This chart shows monthly sales data in a bar chart format.

Step 4 — Creating Dashboard Filters

Dashboards typically allow users to filter data by category, region, or date range. SavvyUI provides components such as ComboBox, CheckList, and ListBox to implement filtering options easily. :contentReference[oaicite:5]{index=5}

ComboBox _regionFilter;

_regionFilter.addItem(L"All Regions");
_regionFilter.addItem(L"North");
_regionFilter.addItem(L"South");
_regionFilter.addItem(L"West");
_regionFilter.addItem(L"East");
							

When the selected value changes, the application can update the chart and table data.

Step 5 — Displaying Data in a Grid Table

For detailed analytics, dashboards often include a grid table showing raw data. SavvyUI’s Grid component is designed to display rows and columns of structured information with configurable column widths and editable fields. :contentReference[oaicite:6]{index=6}

class SalesTablePanel : public GridPanel
{
	Grid _salesGrid;

public:

	SalesTablePanel()
	{
		_salesGrid.addColumn(L"Date", L"Date", TRUE, 20);
		_salesGrid.addColumn(L"Region", L"Region", TRUE, 20);
		_salesGrid.addColumn(L"Product", L"Product", TRUE, 30);
		_salesGrid.addColumn(L"Amount", L"Amount", TRUE, 15);

		setLayout({-1},{-1});
		addComponent(&_salesGrid,0,0);
	}
};
							

This table can be populated from a database or API to provide detailed sales records.

Step 6 — Combining Filters with Charts

A powerful dashboard updates its visualizations dynamically based on selected filters. When the region filter changes, the chart and grid can reload data corresponding to that region.

void onSelectionChanged(const SelectionChangeEvent& ev)
{
	wstring region = ev.selectionValue;

	loadChartData(region);
	loadGridData(region);
}
							

This event-driven model keeps the dashboard responsive and interactive.

Final Dashboard Architecture

After implementing all components, the dashboard structure looks like this:

• Main Window
• Dashboard Panel
• Tab Pane
  • Overview (Charts)
  • Sales Data (Grid Table)
  • Analytics (Filters + Charts)

This modular approach makes it easy to expand the dashboard with additional visualizations and analytics tools.

Conclusion

SavvyUI provides a powerful toolkit for building rich C++ desktop dashboards. With built-in components like charts, tabbed panels, grid tables, and filtering controls, developers can create complex analytics applications with minimal boilerplate code.

Using the techniques shown in this tutorial, you can build dashboards for:

• Sales analytics
• Business intelligence tools
• Inventory monitoring
• Financial reporting systems

To explore the full component library and documentation, visit the official SavvyUI website:

https://www.savvyui.com