Bosca / Analytics

Visualizations & dashboards

A chart is a query, drawn

A visualization is a named binding of a query to a visualization type, plus the configuration that type needs. Lay several out on a dashboard grid, wire them to shared parameters, and you have a board that moves as one.

Visualization types

A type for every shape

Pick a type, point it at a query, and map the columns — from a single number to a live session map, the editor shows a live preview as you go, and a JSON view stays in sync with the typed fields.

Number

single value

Bar

x / y

Line

x / y

Scatter

x / y

Bubble

x / y / size

Pie

label / value

Doughnut

label / value

Stacked Area

cumulative

Table

columns

Label

static text

Date Picker

drives params

Gantt

timeline

Graph

relationships

Region Map

choropleth

Point Map

lat / long

Live Map

live sessions

The dashboard grid

Drag, drop, resize

A dashboard is a grid of visualization tiles. Drag them and resize them, and the positions and sizes save with the dashboard — so the layout you build is the layout everyone sees.

  • Per-tile overrides: a title override and size, and toggles for the title, a border, and a background.
  • Add a visualization from a dropdown; remove one and it comes off the board.
  • Expand the grid to full width when you're arranging a dense board.
home dashboard
Sessions48.2k
Completions6,904
Sessions / day
Top apps

Shared parameters

One control, the whole board

A dashboard declares its own typed parameters. When it runs each visualization, it passes only the parameters that chart's query asks for — matched by name. Drop a date picker on the board and every chart that accepts a date range moves together.

  • Supply is the dashboard's parameters; demand is each query's parameters — they meet by name.
  • The same board becomes a single-app view or a fleet view by changing its inputs, not its charts.
parameters flow
date picker → from, to
Sessions / day from, to ✓Top apps from, to ✓Live number — no date param

Keep exploring

More on Analytics

Analytics overview

How events become queries, charts, and dashboards.

Ingestion

Events arrive from your apps and land in the warehouse — inspectable live.

Queries

Saved SQL with typed parameters — the single source of truth for every chart.

Error tracking

Grouped errors, stack traces, and AI-generated root-cause hints.