Charts that match the question

Build useful charts without wrestling with a BI interface.

Use recommended charts or a type-aware Custom Chart Builder. Amridata supports 19 chart types, validates the columns each chart needs, and lets users save charts or download supported visuals as PNG.

  • 19 functional chart types
  • Type-aware column validation
  • Save charts + PNG export
Data Visualization inside the Amridata dataset workflow.
Why it matters

Less setup. More useful analysis.

Each feature is designed to move a real dataset forward rather than add another disconnected dashboard.

01

Choose the right visual

The builder changes its controls by chart type so a histogram asks for a numeric column while a stacked chart asks for a grouping field.

02

Move quickly from data to story

Start with automatic recommendations, refine with aggregation and grouping, then keep the charts that communicate the result clearly.

03

Reuse work in reports

Saved charts become available in the reporting workflow instead of disappearing when the dataset page closes.

Capability map

What Data Visualization actually does

Concrete product behavior—not placeholder features.

Comparison charts

Bar and column charts for category comparisons, including stacked and 100% stacked variants.

Trend charts

Line and area charts for ordered or date-based data, plus combo charts for two numeric measures.

Distribution charts

Histograms and box plots help inspect spread, quartiles, and unusual values.

Relationship charts

Scatter and bubble charts expose relationships between numeric variables, with an optional bubble-size measure.

Composition + hierarchy

Pie, donut, treemap, funnel, radar, waterfall, and heatmap views support different analytical stories.

KPI summaries

Use KPI cards when a single numeric summary is clearer than a full chart.

Workflow

From raw file to next action

The feature stays connected to the same dataset, so you do not have to recreate context in a second tool.

  1. 1

    Start with a dataset

    Open an uploaded dataset in the workspace.

  2. 2

    Pick a chart question

    Choose comparison, trend, distribution, relationship, composition, or KPI.

  3. 3

    Map columns

    The builder exposes only the fields needed for the selected chart type.

  4. 4

    Save or export

    Keep the chart for later reports or download supported charts as PNG.

Product details

Know what is included before you use it.

Amridata is most useful when the product is explicit about what it does, what it stores, and where a user should verify the result.

Chart types
Bar, column, line, area, pie, donut, funnel, treemap, radar, scatter, bubble, histogram, box plot, heatmap, waterfall, stacked bar, 100% stacked bar, combo, and KPI.
Aggregation
Common aggregation options include sum, average, count, minimum, and maximum where the chart supports aggregation.
Persistence
Saved charts are stored for signed-in users and can be reopened from My Charts.
Export
Supported rendered charts can be downloaded as PNG. KPI cards are kept as application summaries rather than pretending to be image charts.
Connected workspace

Analysis, cleaning, visualization, AI, and reporting are designed to work around the same dataset.

FAQ

Data Visualization questions

Clear answers about the current product behavior.

How many chart types does Amridata support?

The current chart engine supports 19 functional chart types, including standard, distribution, relationship, stacked, combo, heatmap, and KPI views.

Why do some charts require different columns?

Different visualizations represent different structures. For example, scatter charts need two numeric columns, while stacked charts need a category and a group or series field. The builder validates those requirements.

Can I save a chart and use it in a report later?

Yes. Signed-in users can save charts, reopen them from My Charts, and include saved charts in the report workflow.

Ready to use your own data?

Upload a file and start with the dataset—not a blank dashboard.