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Preparing the browser-side engine
불러오는 중, 잠시 기다리세요…Preparing the browser-side engine
불러오는 중, 잠시 기다리세요…Preparing the browser-side workspace
불러오는 중, 잠시 기다리세요…데이터셋을 불러와 시각화 시작.
CSV 또는 Excel을 불러와 시각화 시작.
The Visualizer is a data visualization tool and online chart maker for CSV data. Build bar, line, area, pie/donut, scatter, and histogram charts — plus data-table and KPI-card views — by mapping a categorical dimension to X and a numeric measure to Y. Datio suggests starting fields from your dataset shape and generates an automatic title you can override.
Useful for analysts and operators turning a cleaned file into a presentation-ready chart, and for students learning which chart fits which data shape.
region,revenue
North,120
South,80
North,45
→ Bar chart “Revenue by Region”: North 165, South 80Charts work best on clean, profiled data. Aggregate-friendly files — numeric measures plus categorical dimensions — chart best, and finished charts can feed a full dashboard. 프로파일러, CSV 클리너, 대시보드.
It turns table rows into charts so patterns are visible at a glance — totals by category, trends over time, or distributions. Datio's Visualizer aggregates your CSV (for example, summing revenue per region) and renders bar, line, area, pie, scatter, or histogram charts right in the browser.
Load the CSV in Datio's Visualizer, pick a chart type, and map X to a categorical dimension (like region) and Y to a numeric measure (like revenue). Datio suggests starting fields from your dataset; verify the aggregation in the preview, then export as PNG, SVG, or PDF — or grab the chart data as CSV.
The Y axis only accepts numeric measures — text and ID-like columns are excluded automatically because they can't be summed or plotted. If no numeric measure exists, use the table or KPI-card view instead. Scatter plots need two numeric measures; histograms need exactly one.
The Visualizer makes one chart at a time with full control over axes, grouping, and sorting. The Dashboard assembles a complete KPI report — tiles, bars, areas, and ranked tables from four data-driven templates — for presentation. Explore in the Visualizer, present with the Dashboard. 대시보드 →
Text or ID fields can never be a Y measure, and datasets without numeric measures are limited to table or KPI views. Scatter plots need two numeric measures, and histograms need one numeric column.