Experience Data Visualization

With
plotox

CSV to Line Chart

Simply upload your CSV dataset, configure your X and Y parameters, and allow plotox to automatically generate a dynamic line chart, export it on excellent quality.

description

Upload CSV or drag & drop

Select a CSV file or paste raw data below.

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settings

Chart Configuration

Map axes and customize chart options.

Labels & Inputs
Style & Advanced Layout
Interactive Chart
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edit_note

Edit data

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info Click any cell to edit. Double-click headers to rename.
help

How to use Plotox

1

Upload CSV Data

Select a CSV/TSV/TXT file from your local machine, drag & drop a file, or paste raw text data directly into the input area. You can also click Load Sample to test with a pre-configured dataset.

2

Inspect & Edit Grid

Switch between the Preview and Grid View tabs to inspect your columns. Click Edit Data to add, delete, or modify rows/columns in our spreadsheet editor before plotting.

3

Configure Axes & Styles

Select your X-Axis column and checklist one or more Y-Axis columns. Customize the chart title, labels, legend positions, axis rotation, line smoothing, gridlines, and theme colors.

4

Generate & Export

Click Generate Chart to render. Fine-tune thickness, scale, points, and publication mode, then select your format (PNG, JPG, SVG, PDF, HTML, JSON) and click Download File.

warning

Clear History

Are you sure you want to clear all your saved sessions? This action is permanent and cannot be undone.

add_chart

Choose Chart Type

Select the visualization structure for your dataset. You can change this selection at any time later in the configuration panel.

show_chart

Line Chart

Ideal for continuous trends, time-series data, and tracking growth cycles over intervals.

bar_chart

Bar Chart

Perfect for comparing distinct categories, showing distributions, or stacking components.

scatter_plot

Scatter Plot

Designed for correlation studies, data distributions, and mapping ROI against variables.

area_chart

Area Chart

Excellent for emphasizing cumulative totals, volume developments, and part-to-whole trends.

pie_chart

Pie & Donut

Great for representing composition, percentage share, and static category ratios.

analytics

Histogram

Used for mapping value frequency distributions and binning continuous numeric segments.