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Example Outputs

Real reports generated from real datasets — including the focus question, generated chart, chat refinements, and downloadable PDF.

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Preview of the Foods Health Scores & Allergens insight report
Decision

Foods Health Scores & Allergens

Grade E products average 412 kcal/100g, nearly twice the energy of Grade A foods at 219 kcal/100g.

Preview of the updated Meteor Strikes insight report
Deep Dive

Meteor Strikes

Fell meteorites have a far higher median mass (~2,799 g) than Found (~23 g), even though both span 9+ orders of magnitude.

Preview of the updated Iris data insight report
Story

Iris Flower Clusters

Setosa petals are ~8.5x narrower than Virginica despite overlapping sepal lengths.

What do the modes mean?

Decision

Compare groups, support a call.

Deep Dive

Distributions, correlations, outliers.

Story

One dramatic, shareable narrative.

Example 1: Foods Health Scores & Allergens

Decision

Grade E products average 412 kcal/100g, nearly twice the energy of Grade A foods at 219 kcal/100g.

Focus Question

“Which nutriscore_grade category has the highest average energy_kcal content?”

Generated Chart

SVG chart showing mean energy by Nutri-Score grade

Key Insight

Grade E has the highest average energy at 412 kcal/100g. The climb from A (219) to E (412) is close to monotonic, so avoiding Grades D and E is a simple rule if the goal is lower calorie density.

Dataset

4,997 branded/packaged food products with Nutri-Score grades (A-E plus UNKNOWN/NOT-APPLICABLE) and per-100g nutritional values

Health & Nutrition

Explorations made

Initial energy comparison

Confirmed Grade E as highest at ~412 kcal/100g and excluded impossible energy outliers with a 900 kcal cap

Clean baseline chart

Added annotations for Grade A and Grade E, dimmed the middle grades, and showed the 193 kcal/100g gap with a bracket

Dense annotations

Removed extra bar labels, filtered out null labels, and kept only one dashed line for Grade A

Endpoint labels

Changed the left label to 'Grade A' and simplified the right label to '412'

Annotated comparison variant

Reset the chart to its original clean state with all bar labels restored

Export

Download output PDF·Open PDF in new tab

Chart description

Horizontal bar chart of mean energy (kcal/100g) by Nutri-Score grade, using the Nutri-Score palette and value labels on each bar.

Try with your own data →

Example 2: Meteor Strikes

Deep Dive

Fell meteorites have a far higher median mass (~2,799 g) than Found (~23 g), even though both span 9+ orders of magnitude.

Focus Question

“How does mass_g distribution vary by fell_found status, and which category shows greater variance?”

Generated Chart

SVG chart comparing Fell and Found meteorite mass distributions on a log scale

Key Insight

Fell meteorites have a much higher median mass at ~2,799 g versus ~23 g for Found. Both groups span extreme ranges from roughly 0.01 g to 100M g, so the main separation is their center of mass on the log scale, with Found concentrated much lower.

Dataset

34,065 meteorite strike records with mass (grams), observation status (Fell vs Found), location, and year

Earth Science / Astronomy

Explorations made

Log-scale box plot

Violin chart — surfaced the full mass density instead of only quartiles

Single violin chart

Two side-by-side Fell and Found panels with a shared log-scale y-axis

Wide violins and light labels

Narrowed the violins, enlarged the median markers and labels, and switched label text to black

Default styling

Scientific American editorial treatment with Georgia serif type, muted fills, and light dashed grids

Violin panels

Jittered dot plots with the median retained, then widened jitter to full panel width and reduced the orange rule weight

Export

Download output PDF·Open PDF in new tab

Chart description

Two side-by-side jittered dot plots on a shared log10 mass axis, with full-width spread in each panel and a thin orange median rule for Fell and Found.

Try with your own data →

Example 3: Iris Flower Clusters

Story

Setosa petals are ~8.5x narrower than Virginica despite overlapping sepal lengths.

Focus Question

“Despite similar sepallengthcm ranges, how drastically does petalwidthcm differ between Iris-setosa and Iris-virginica?”

Generated Chart

SVG scatterplot comparing sepal length and petal width across iris species

Key Insight

Petal width diverges by ~8.5x between Setosa (mean 0.24 cm) and Virginica (mean 2.03 cm), even though their sepal lengths share a substantial overlap around 4.9-5.8 cm. Petal width cuts through that ambiguity instantly, making it the most diagnostic single measurement for classification.

Dataset

Iris dataset, 150 flowers across 3 species (50 each), with 4 morphological measurements in cm

Biology / Classification

Explorations made

Tick-strip comparison

Scatterplot with sepal length on x and petal width on y so overlap and separation are visible together

Default styling

New York Times-inspired styling with warm paper background, Georgia serif fonts, muted gridlines, and editorial colors

Right-anchored Virginica label

Moved the Iris-virginica label to the left side of its cluster

Left-anchored Virginica label

Undid the move and restored all three species labels to a unified right-edge text layer

Export

Download output PDF·Open PDF in new tab

Chart description

Scatterplot of sepal length versus petal width for all 150 flowers, colored by species with dashed trend lines and species labels anchored at the right edge of each cluster.

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