Step 1
Import and validate
Paste or upload a bounded CSV, inspect row and column errors, and start from original sample data when useful.
Data visualization dashboard
A data visualization dashboard with four honest panels
Three KPI cards, a trend chart, a ranked category mix, and the most recent validated rows — each computed from the mapped columns rather than sampled or estimated.
- KPI cards
- Total, average row, top category
- Trend
- One point per period, date-ordered
- Category mix
- Top five by contribution
What each panel is actually measuring
No panel is decorative, and none of them smooths, forecasts, or fills gaps.
- Total: the sum of every validated value in the mapped metric column
- Average row: that total divided by the number of validated rows, not by period
- Top category: the highest-contributing category and the amount it contributed
- Recent records: the last four mapped rows, newest first, as they were read
A trend that respects the calendar
Rows are grouped by the date cell and summed, then ordered chronologically whenever the dates parse — so “Jul 1, 2026” lands after “Jun 15, 2026” instead of being sorted as text. Labels that cannot be parsed keep a stable alphabetical order rather than shuffling between renders.
Comparison states you can trust
A percentage change is only shown when a comparison column is mapped and its total is non-zero. When no comparison values exist the card says so; when they exist but sum to zero it says the delta is unavailable. A missing baseline never becomes a 100% improvement.
How the workflow works
Move from the search problem into a working product without a fake demo or an invented integration.
Step 2
Map the story
Choose a supported blueprint, map dimensions and metrics, and preview KPIs, trends, category mix, and recent rows.
Step 3
Save or share
Keep versioned private configurations, export JSON or CSV, and create a revocable public snapshot containing bounded projected data.
Current product boundaries
Useful SEO starts with an accurate promise. These limits apply before you begin.
- DashTrellis does not provide live data connectors, scheduled refreshes, Looker Studio import, or team collaboration.
- Public links contain bounded aggregates and recent mapped rows, never the uploaded raw CSV or private version history.
- The template library is intentionally small and original rather than a mass of programmatic industry pages.
Questions about data visualization dashboard
Which chart types are available?
Area, line, and bar. All three draw the same aggregated series, so switching the chart never changes the numbers.
Can the dashboard refresh on a schedule?
No. There are no live connectors and no scheduled refresh. A dashboard reflects the CSV you mapped, and it changes when you map a new one.
Does it handle more than one metric at a time?
No. One value column and one optional comparison column per blueprint.