Data Visualization Builder

Upload your dataset, clean it in a spreadsheet-like editor, and generate publication-ready charts in just a few steps.

Required Inputs & Typical Use Cases

• Data Input

  Paste values, upload a CSV/XLSX file, or connect to a Google Sheet to bring in your dataset.

• Chart Selection

  Pick from bar, line, pie, doughnut, radar, polar, scatter, or bubble charts and preview instantly.

• Export & Download

  Customize colours, toggle dark mode, and download the visual as a PNG snapshot for presentations.

Common use cases: (1) Present survey results with grouped bar charts; (2) Showcase time-series metrics using line charts; (3) Highlight composition with pie or doughnut charts; (4) Explore correlations using scatter/bubble charts; (5) Prepare quick visuals for stakeholder updates.

The Formula

Width = D × cos(θ)
Height = D × sin(θ) (applied internally to calculate coordinates)

• Dataset

  Table of values entered or uploaded by the user

• Chart Type

  Visualization style applied to the dataset

• Theme

  Colour palette applied to series and backgrounds

Worked Example

1. Example Workflow

   1. Paste monthly sales figures (Jan–Dec) 2. Choose “Bar Chart” and preview 3. Switch to the “Warm Reds” palette 4. Download the chart as PNG for a slide deck

Tips, Assumptions & Limitations

• Ensure your dataset includes headers so each series is labelled correctly.
• Use the data table step to edit or remove outliers before plotting.
• Experiment with different chart types—some data stories become clearer with an alternative visual.