Create multiple synchronized charts from your data with consistent scaling. Perfect for comparing multiple data series side by side.
CSV files should have a header row followed by data rows. You can also include metadata in comment lines (starting with #).
# title: Quarterly Sales Comparison # type: bar # colors: #80208f,#ba68c8 Quarter,2023,2024 Q1,5000,6000 Q2,7000,8000 Q3,8000,9000 Q4,6000,1500
The first column in the header row is for your labels (such as categories, time periods, or names). Each additional column is a dataset or series (such as years, products, or groups you want to compare). For example, in Quarter,2023,2024:
| Header | Purpose |
|---|---|
Quarter | Label for each row (category or time period) |
2023 | Dataset/series (e.g., values for 2023) |
2024 | Dataset/series (e.g., values for 2024) |
Q1).5000 for 2023, 6000 for 2024).# title: Your Chart Title - Sets the chart title# type: bar|line|pie|donut - Sets the chart type# colors: #hex1,#hex2,... - Sets custom colors for data seriesFor bar and line charts, colors are applied to each data series (column) in order:
# colors: #80208f,#ba68c8,#9c27b0 Month,Sales,Expenses,Profit January,1000,600,400 February,1200,650,550
In this example:
For pie and donut charts, colors are applied to each slice in order:
# type: pie # colors: #80208f,#ba68c8,#9c27b0 Category,Value Category A,100 Category B,200 Category C,300
In this example:
If you don't specify colors, the tool will automatically assign colors from its default palette.
A powerful tool that creates multiple synchronized charts from your data, with each data series getting its own chart while maintaining consistent scaling across all visualizations.
Simply upload your data in CSV format, and the tool will automatically create multiple charts with consistent scaling. Each data series gets its own chart, making it easy to compare and analyze different metrics side by side.