Purpose-fit chart selection
The AI can produce grouped, stacked, or 100% stacked columns and keep axis scales, labels, and series ordering consistent.
AI chart maker
Turn spreadsheet data into an editable column chart
Create a vertical comparison chart without manually selecting ranges or formatting axes. Describe the metric, grouping, order, and audience, then refine the generated column chart through natural-language requests.
Create a column chartFree to start · No credit card required
- Upload Excel or CSV
- Editable chart output
- No code required
Generated chart
Column Chart Maker
Why it matters
When to use a column chart
Comparing a modest number of categories or discrete periods when vertical bars fit the labels and presentation layout.
Use a line chart for dense time series, a horizontal bar chart for long labels, and a scatter plot for numeric relationships.
Capabilities
What you can do with AI Column Chart Maker
Explicit data mapping
A category or discrete date field plus one or more numeric measures, with a documented aggregation rule and consistent units.
Aggregation you can review
Specify sums, averages, counts, rates, time intervals, and filters so the values behind the visual remain inspectable.
Editable reporting output
Refine titles, labels, colors, annotations, and chart type, then reuse the visual in a dashboard or report.
How it works
Go from source data to a useful result in three steps
- 1
Upload or paste the data
Start with Excel, CSV, or a table and confirm that headers, numeric values, categories, and dates were interpreted correctly.
- 2
Describe the comparison
A category or discrete date field plus one or more numeric measures, with a documented aggregation rule and consistent units. Explain the audience and the question the chart should answer.
- 3
Validate and refine the chart
Check the values, labels, scale, and filters. Use a line chart for dense time series, a horizontal bar chart for long labels, and a scatter plot for numeric relationships.
Common use cases
Built around real reporting work
Quarterly comparison
Compare revenue, cost, or volume across a small number of quarters or years.
Plan versus actual
Place actual and target values side by side for each department, region, or product.
Channel mix
Use stacked columns to show both total activity and the contribution from each channel.
Example prompts
Try a request like this
“Create grouped columns for quarterly revenue and gross profit, with one group per quarter.”
“Show actual versus budget by department and label the variance above each group.”
“Build a 100% stacked column chart showing acquisition channel mix by month.”
Frequently asked questions
Questions about AI Column Chart Maker
What is a column chart maker?+
It is a tool that turns supplied data into a column chart and lets you refine the visual without manually configuring every chart setting.
When should I use a column chart?+
Comparing a modest number of categories or discrete periods when vertical bars fit the labels and presentation layout.
What data do I need?+
A category or discrete date field plus one or more numeric measures, with a documented aggregation rule and consistent units.
When is another chart type better?+
Use a line chart for dense time series, a horizontal bar chart for long labels, and a scatter plot for numeric relationships.
Can I edit the generated chart?+
Yes. Review the data mapping first, then adjust the chart type, titles, labels, colors, annotations, and surrounding report content.
Continue your data workflow
AI chart maker
AI Bar Chart Maker
Create an editable horizontal bar chart from Excel or CSV data with AI. Compare categories, rank results, validate aggregation, and export a polished graph.
AI chart maker
AI Line Graph Maker
Generate an editable line graph from Excel or CSV data with AI. Plot trends, compare series, handle date granularity, and annotate important changes.
AI chart maker
AI Waterfall Chart Maker
Create an editable waterfall chart from Excel or CSV data with AI. Show increases, decreases, subtotals, and the bridge between starting and ending values.
Start with your own data
Upload a spreadsheet or describe the result you need. Build the first useful draft with AI, then review and refine it.