Upload CSV data and instantly preview it as bar, line, pie, or scatter charts.
Drag and drop or select your CSV data file.
Select bar, line, pie, scatter, or another chart type.
Assign CSV columns to chart axes and data series.
Save the generated chart as a PNG or SVG image.
CSV to Chart Preview turns a comma-separated table into a bar, line, pie, or scatter chart for immediate visual inspection. Choose a local file and a chart type, then compare the rendered marks with the CSV's labels and numeric values. The selected file is processed in your browser; its contents are not uploaded. This is useful for checking whether a table has a plausible visual shape before preparing a finished chart. The main trap is treating chart choice as data repair. A scatter chart needs paired numeric coordinates, while a meaningful pie needs categories whose values are parts of the same whole.
A concrete input and expected output from the current implementation.
Input
category,value Alpha,2 Beta,3
Expected output
With bar selected, the preview contains two category bars: Alpha at 2 and Beta at 3.
The header identifies the label and numeric fields. Each subsequent row supplies one bar, and the numeric entries determine the two bar heights without aggregation.
Use a rectangular comma-separated table with a header row and the same field pattern on each record. Keep category labels in one column and measurements in numeric columns. For a scatter preview, prepare distinct x and y columns. If a label contains a comma, enclose that field in double quotes; represent an embedded double quote by doubling it.
Choose the visual form according to the comparison you need. Bars compare values across discrete labels. Lines make row order visually important because successive values are connected. Pie slices portray contribution to one whole. Scatter points place one numeric field on each axis. The preview visualizes supplied values; it does not establish units, causation, statistical significance, or data quality.
No. The selected CSV is read for the preview entirely in the browser and is not uploaded. Creating a chart preview does not rewrite, clean, or correct the source file. If the visualization reveals an unwanted label, missing number, malformed row, or incorrect ordering, edit the CSV separately and select the revised file.
Use bars for comparisons among named categories, a line for observations with a meaningful order such as dates, pie for nonnegative parts of one whole, and scatter for paired numeric measurements. No chart type can determine whether those roles are semantically correct. Two numeric columns, for example, do not automatically imply that one variable causes the other.
The example and behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
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