Charttoolbox

Being able to adjust the detected fields before the chart is generated is a nice touch, since auto-detection often guesses dates wrong. Does the tool let you override a column's type, for example forcing a numeric-looking ID column to be treated as a category?

Opened a 12MB CSV and had a heatmap in under a minute, no account, nothing left my machine. That's the whole pitch and it works.

Opened a 12MB CSV and had a heatmap in under a minute, no account, nothing left my machine. That's the whole pitch and it works.

It's easy to use, and I think it will improve my work

The height-and-weight scatter with the fitted line is the chart I would reach for when a CSV is two numeric columns and I just want to see if they move together. Exporting that as SVG, rather than only PNG, is what I would use if the chart has to sit in a write-up later.

Processing the spreadsheet locally in the browser is the right call. It's the first thing I'd worry about before pasting company numbers into a free tool, so it's worth making that even more prominent on the upload screen. One request: an option to export the cleaned data or the chart settings, so I can regenerate the same chart next month with new figures instead of setting the fields up again.

Keeping chart creation in the browser is the useful part for CSV files people do not want to upload. I would want to know whether the first row is always treated as headers, how it handles a UTF-8 CSV with a BOM or European semicolon separators, and whether axis titles and number formats survive when you export the chart rather than only showing them on screen.

Processing the spreadsheet in the browser, then letting someone review the detected fields before a chart is drawn, is the right order for CSV and Excel files that never quite share a schema. Seven chart types, including heatmaps and correlation matrices, is more than a paste-into-bars tool, and PNG or SVG export without an account is the useful finish. When a column is half dates and half text, does field detection flag that before export, or does it only show up once the chart looks wrong?

Tried it with a German-style CSV: semicolons as separators, decimal commas, and an umlaut in "Türkei". Semicolons and the umlaut came through fine, but the decimal-comma column (3,5 / 2,25) was detected as text, so the bar chart quietly showed only the other series. The detected-fields line did say "Umsatz: text", which is the right place to catch it, but a hint like "looks like decimal commas, read as numbers?" would save European users a confused minute. Nice that it all stays in the browser.

The local-only processing plus a review of detected fields before the chart is drawn is what makes this usable for a sales CSV I would not upload. I would use the histogram and the correlation matrix more than the pie chart. If the first row is a title rather than column headers, can the field review mark a different row as the header, or do I have to delete that row in the sheet first?

The local-only processing plus a review of detected fields before the chart is drawn is what makes this usable for a sales CSV I would not upload. I would use the histogram and the correlation matrix more than the pie chart. If the first row is a title rather than column headers, can the field review mark a different row as the header, or do I have to delete that row in the sheet first?

Does it handle XLSX files with several sheets, or a two-row header with merged cells on top? That's how most exported finance and ops reports arrive, and it's usually where browser chart tools trip up. A colour-blind-safe palette toggle would also help for charts that end up in slides.

Making a chart from a CSV usually means opening Excel and fiddling with settings, so this is a nice shortcut. Good that the data stays in the browser too.

Being able to adjust the detected fields before the chart is generated is a nice touch, since auto-detection often guesses dates wrong. Does the tool let you override a column's type, for example forcing a numeric-looking ID column to be treated as a category?

Processing the spreadsheet locally in the browser with no account is a real plus for people handling sensitive data. Does the field-review step let you override a column detected as text when it should be a date, and can the PNG or SVG export keep a custom color palette?

For the correlation matrix, what happens to non-numeric columns: are they skipped silently, or does the field review step let you exclude them? And is there a rough row count where the browser starts to struggle, say a 200k-row CSV export?

Processing the file in the browser is the reason I would paste a real sales export here instead of a hosted BI tool. Exporting SVG as well as PNG matters when the chart has to be resized in a deck. Do the heatmap and correlation matrix use the same field picker as the bar and line charts, or do they silently drop columns that are not numeric?

Handy for quick reporting: drop in a CSV export of monthly sales and get a chart without uploading data to a server, since it runs in the browser. Does it support grouping by date columns automatically for time-series line charts?

Opened a 12MB CSV and had a heatmap in under a minute, no account, nothing left my machine. That's the whole pitch and it works.

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For charts exported as SVG, an option to include a short data-source note and an accessible text summary would help when the file is reused in a report. Can users add those before export, or would they need to edit the SVG afterwards?

For the correlation matrix, which coefficient does it use: Pearson only, or Spearman too? With skewed columns like revenue, rank correlation often tells a different story. I would also like to know how empty cells count. Dropping a whole row when one value is missing can shrink the sample a lot on messy exports, so showing the n behind each cell would make that visible.

Processing spreadsheet data locally in the browser is a good privacy choice for quick charts. Does the PNG/SVG export keep the styling customizations, such as colors and labels, exactly as shown in the preview?

Processing the spreadsheet locally in the browser matters for people who cannot upload company data to a third-party tool. The 20,000-cell limit can be tight for a correlation matrix built from a wide export. Do you plan to let users pick the columns before import, so a large XLSX file still works?

Since everything is processed locally in the browser, how large a file have you tested before performance starts to suffer? I'd be curious whether there's a row limit where charts like scatter plots become slow.

Processing the spreadsheet locally, with no account, is the right default for a CSV someone does not want uploaded. The useful step is reviewing detected fields before the chart is drawn. Does that review catch a column of dates stored as text, or a header row that Excel exported with a blank first cell, before you export the PNG or SVG?

The SVG export alongside PNG is useful for dropping charts into docs without blurriness. Would love to see a quick note on the size limit for the in-browser processing, since heatmaps on very wide CSVs are where local tools usually slow down.