ChartalesChartalesBetav0.1
How It WorksExamples

How Chartales Works · Chartales

You have the data.
Here’s how it becomes a story.

Upload a file. Ask one question. Get a chart, a written finding, and a ready-to-share export. No dashboards. No SQL. No waiting.

Try free — 2 insights includedSee example outputs

Four steps from file to published insight

01
Upload

Upload any tabular file

Start with a CSV, TSV, XLS, or XLSX. In this walkthrough, the dataset tracks occupation, sleep duration, stress, and activity across eleven job types. Chartales inspects column types, identifies usable fields, and prepares the file for questioning. Signed-in uploads are saved to your private workspace so you can return to them any time.

  • Handles messy headers and mixed column types
  • Recognizes numeric and categorical columns automatically
  • Files saved to your workspace when signed in

sleep-health-and-lifestyle.csv

Drop your file here

CSV · TSV · XLS · XLSX

occupationsleep_hoursstress_levelactivity
Engineer8.03.9Moderate
Sales Representative5.98.0Low
More occupations, activity levels, and health metrics...

Discover questions

AI-suggested questions

Which occupations sleep the most and least on average?How does stress level relate to sleep duration by occupation?Which roles look like outliers once activity is included?

Or type your own

“Is there a relationship between occupation type and average sleep duration, and does stress level mediate this?”

Generate insight →
02
Discover

Let AI suggest where to start

This is the anti-blank-canvas moment. AI reads your data and generates contextually relevant questions you can click to start, or type your own question directly. The mode you pick shapes the chart architecture and the tone of the story.

Decision

Compare options, support a call

Deep Dive

Distributions, correlations, outliers

Story

One dramatic, shareable narrative

03
Explore

See the story. Then push it further.

AI generates a chart and a plain-language insight grounded in your actual data — here, a ranked occupation view where the sleep pattern and stress gradient are visible immediately. Not happy with the angle? Ask a follow-up. Change annotations, labels, filters, or emphasis, and each message updates the chart in place. No restarts, no configuration panels, no blank-page moment.

  • Interactive chart grounded in your data
  • Plain-language key insight written for you
  • Refine via chat: annotations, sorting, filters, focus
  • Ask follow-up questions about the data

Generated insight

Horizontal bar chart showing mean sleep duration by occupation, colour-coded by mean stress level from blue (low) to red (high)

Key Insight

As mean stress rises from 3.9 to 8.0, mean sleep duration falls from 8.0 to 5.9 hours across occupations.

Ask a follow-up

Highlight Engineers, Sales Representatives, and Nurses, and keep the stress scale visible.
Done — occupations stay sorted by mean sleep duration, with the low-to-high stress gradient preserved and key roles annotated.
Ask another follow-up...
→

sleep-health-and-lifestyle · export

Horizontal bar chart showing mean sleep duration by occupation, colour-coded by mean stress level from blue (low) to red (high) prepared for export

Export package

Single-page PDF with the chart, edited insight, and takeaway ready for a research brief.

Download PDF
Export PNG
Export SVG
04
Publish

Export publication-ready. Share immediately.

When ready, export a single-page PDF — or PNG and SVG versions — containing the chart, key insight, and takeaway. Drop it straight into a report, slide deck, or post. No screenshots, no manual formatting, no post-processing needed.

  • PDF includes chart + insight + takeaway on one page
  • PNG and SVG for embedding in slides or docs
  • Watermark-free on Starter and Pro plans

Three modes, one tool

The mode you pick shapes the chart type, layout, and insight framing. Choose based on what you actually need from the data.

Decision

When you need to compare options or groups and support a clear call.

  • Grouped or stacked bars
  • Side-by-side comparisons
  • Reference lines for benchmarks
Diverging horizontal bar chart ranking countries by gap between education spending and enrolment ratio, with blue for high enrolment and red for low

World Bank Education Statistics

Priya · Policy Analyst · International Affairs Think Tank

See example →
Deep Dive

When you want to understand distributions, correlations, and outliers.

  • Scatter plots, box plots, histograms
  • Trend lines and confidence bands
  • Multi-faceted breakdowns
Horizontal bar chart showing mean sleep duration by occupation, colour-coded by mean stress level from blue (low) to red (high)

Sleep Health & Lifestyle Dataset

Dr. James · Public Health Researcher

See example →
Story

When you want one dramatic, shareable visual with a clear narrative.

  • Editorial-styled chart
  • Annotated scatter or line chart
  • One bold view, one clear message
Faceted line chart showing gender wage gap trends for Argentina, Costa Rica, Honduras, Switzerland, and Turkey from 1969–2022

Gender Wage Gap — ILO

Maya · Economics & Society Journalist

See example →

Same data. Completely different conversation.

From a wall of rows to a clear, shareable story.

Before — Raw CSV

sleep-health-and-lifestyle.csv

Kaggle cohort
occupationsleep_hoursstress_levelactivity
Engineer8.03.9Moderate
Sales Representative5.98.0Low

More occupations, activity levels, and health indicators...

The pattern is in there. It just is not visible yet.

After — AI-generated insight

Focus Question

“Is there a relationship between occupation type and average sleep duration, and does stress level mediate this?”

Horizontal bar chart showing mean sleep duration by occupation, colour-coded by mean stress level from blue (low) to red (high)

Key Insight

As mean stress rises from 3.9 to 8.0, mean sleep duration falls from 8.0 to 5.9 hours across occupations.

A hidden relationship becomes visible immediately.

Sense-making, not infrastructure

Optimized for exploration and fast communication — not a replacement for BI platforms or data pipelines.

Great fit

You need a fast answer from a dataset you just received

You're presenting findings to non-analysts

You want to explore the data before committing to Tableau or Power BI

You want a shareable chart in a slide or email without manual formatting

Not the right tool if...

You need a live, always-on dashboard

You need formal statistical modeling or hypothesis testing

You need ETL pipelines or data warehouse integration

Ready to tell your data story?

Upload a file and see what you can uncover in minutes. No credit card needed — 3 free insights included.

Start free →See example outputs
Chartalesv0.1

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