Dashboards That Stay Connected to Your Data Pipelines

A dashboard in Plotono is a grid-based layout of visualization items. You create a dashboard page, then drag visualizations onto a responsive grid. Each item has a position and size that you can adjust by dragging. Dashboards support multiple pages for organizing related views into separate tabs.

Visibility controls let you decide who can see each dashboard. Publish dashboards to your entire workspace, restrict them to specific roles, or keep them private while you iterate. Sharing follows the same role-based and tag-based access rules that govern the rest of the platform.

Because each visualization on a dashboard is backed by a pipeline query, changes to the underlying data or pipeline logic are reflected automatically. There is no ETL export step, no scheduled refresh that runs hours behind, and no stale snapshot sitting in a separate database.

The grid layout engine handles responsive resizing automatically. On desktop, a four-column grid gives you precise control over positioning. On tablets and mobile devices, items reflow to fit the available screen width. You design once, and the layout adapts to every viewport without manual breakpoint configuration.

The column mapping editor is where pipeline output meets chart rendering. After your pipeline produces a result set, you map its columns to the visual properties of your chosen chart type. Assign a column to the X axis, another to the Y axis, and optionally configure color, size, and label dimensions.

Built-in data transformations let you sort, limit, and reshape data before it reaches the chart renderer. Apply a descending sort to show top performers first, limit the number of series to avoid visual clutter, or transpose rows and columns to change the chart's orientation. Transformations run at query time, so the original pipeline output remains unchanged.

The mapping editor shows a live preview as you configure axes. You can iterate quickly on different column assignments without re-running the pipeline, because the editor works with the cached result set from the most recent pipeline execution.

Different chart types expose different mapping slots. A scatter plot offers X, Y, color, and size dimensions. A Sankey diagram expects source, target, and value columns. A geographic choropleth maps a country or region column to a value column for color intensity. The editor adapts its available slots based on your selected chart type, so you always see exactly the configuration options that apply.

Dashboards support a global filter bar that sits at the top of the page. Each filter binds to a parameter defined in one or more pipeline queries. When you change a filter value, every chart that uses that parameter re-queries with the updated value.

Filter types include date range pickers, dropdown selectors, text search fields, and numeric range sliders. The filter builder interface lets you configure which parameters each filter controls, set default values, and define the available options for dropdown filters.

Cross-chart filtering means that a single date range selection at the top of your dashboard can simultaneously filter a revenue line chart, a customer acquisition funnel, and a regional heatmap. Every visualization stays synchronized because they all reference the same underlying parameters.

You can bind multiple filter controls to the same parameter, or bind one filter to multiple parameters across different pipeline queries. Default values ensure that dashboards load with meaningful data immediately, and users can adjust filters without needing to understand the underlying query structure. The filter bar is optional per dashboard, so simple single-chart views stay uncluttered.

Plotono uses server-sent events (SSE) to push updates to connected clients. When a pipeline finishes executing, when new data arrives at a source, or when another team member modifies a dashboard, the changes stream to your browser without requiring a page refresh.

A connection status indicator shows whether your session is actively receiving updates. If the connection drops due to a network interruption, the client automatically reconnects and re-synchronizes. Connection state management handles the transition gracefully, so you never see stale data without knowing it.

For teams that are collaborating on dashboards simultaneously, real-time updates ensure that one person's layout changes are visible to everyone else within seconds. Combined with the workspace permission system, this creates a live, collaborative dashboard building experience where every stakeholder sees the same current state.