July 14, 2026SMARTPLOT RELEASE NOTESIssue 1.7 · V1.7

WHAT’S NEW?

SmartPlot V1.7 release

SmartPlot 1.7 adds bubble charts and complete two-factor statistics while bringing major upgrades to large-data plotting, heatmaps, batch export, and professional multi-panel composition.

Lead Story

Bubble charts turn a third variable into visual scale

The new bubble chart maps a third numeric variable to symbol size while keeping the familiar SmartPlot scatter-plot workflow and publication-ready styling controls.

  • Choose area, radius, or logarithmic size mapping to match the meaning and range of the data.
  • Add a customizable bubble-size scale so readers can interpret symbol sizes directly.
  • Fine-tune bubble-scale styling and series opacity for dense scientific datasets.
  • Release example: Fisher’s Iris dataset from the UCI Machine Learning Repository (CC BY 4.0).
SmartPlot bubble chart of Fisher’s Iris dataset, with sepal width mapped to bubble size
SmartPlot batch export dialog with selected figures, output format, units, dimensions, and ratio controls
Workflow Desk

Batch export packages multiple figures in one run

Select several figures once, apply one export format and size, and let SmartPlot prepare the complete set without opening each figure individually.

  • Export selected figures as PNG, JPG, SVG, or PPTX from one dialog.
  • Each figure follows the existing single-figure export rules and is collected into one ZIP package.
  • Oversized raster safeguards reduce failures caused by extreme pixel dimensions.
SmartPlot compact three-panel line composition of sleepstudy reaction-time trajectories with equal plot frames and shared axes
01

Compact composition removes repetition between panels

New compact-layout controls make adjacent plots read as one coordinated figure by sharing borders, hiding repeated axis text, and tightening panel spacing.

  • Hide repeated axis labels and tick text while preserving the outer labels readers need.
  • Share neighboring plot borders and control horizontal and vertical gaps independently.
  • Build 1×5 or custom grids with custom page sizes and reference-based canvas or plot-frame matching.
  • Release example: 18 individual reaction-time trajectories from the Belenky et al. (2003) sleep-restriction study.
SmartPlot grouped bar chart of ToothGrowth data with raw points, error bars, and significance brackets
02

Two-factor significance analysis stays connected to the plot

Grouped bar and box plots can now run ordinary two-way ANOVA and carry the statistical result into publication-ready comparisons and annotations.

  • Evaluate both main effects and the factor interaction from complete two-factor designs.
  • Run simple-effects comparisons within the relevant factor family.
  • Apply multiplicity correction and place significance brackets directly on bar or box plots.
  • Release example: the R ToothGrowth dataset, based on Crampton’s 1947 vitamin C study.

Heatmaps and large datasets are easier to interpret and edit

V1.7 strengthens matrix semantics and large-data rendering so imported scientific tables are recognized more accurately and stay responsive during exploration.

  • Heatmaps support numeric, categorical, and automatic axes, X/Y transpose, and sparse-matrix import.
  • Scientific-data import better recognizes missing values, scientific notation, and numeric columns containing sparse text.
  • Tiered previews, point budgets, and memory-bounded caches keep large-data interaction smoother.
03

Heatmaps and large datasets are easier to interpret and edit

V1.7 strengthens matrix semantics and large-data rendering so imported scientific tables are recognized more accurately and stay responsive during exploration.

  • Heatmaps support numeric, categorical, and automatic axes, X/Y transpose, and sparse-matrix import.
  • Scientific-data import better recognizes missing values, scientific notation, and numeric columns containing sparse text.
  • Tiered previews, point budgets, and memory-bounded caches keep large-data interaction smoother.
Briefs

Also included in V1.7

Bubble charts support area, radius, and logarithmic size mapping plus a customizable bubble-size scale.

Bar and box plots support two-way ANOVA, interactions, simple effects, and multiplicity correction.

Tiered previews, point budgets, and memory-bounded caching improve large-data plotting and analysis stability.

Heatmaps support numeric, categorical, and automatic axes, X/Y transpose, and sparse-matrix import.

Scientific-data import better recognizes missing values, scientific notation, and numeric columns containing sparse text.

Batch export creates PNG, JPG, SVG, or PPTX output for multiple selected figures with oversized-image safeguards.

Compact composition hides repeated axis text, shares neighboring borders, and separates horizontal and vertical gap controls.

Composition layouts now support 1×5, custom rows and columns, custom page sizes, and reference-based canvas and plot-frame matching.

Composition-wide polishing unifies colors, backgrounds, axes, typography, and panel labels across selected plots.

Composite SVG/PPT export better preserves subplot relationships, text scale, optical stroke weight, and editable elements.

Custom legends now use a dedicated editing dialog for text, symbols, colors, visibility, and live preview.

Advanced object editing adds finer control of bubble scales, per-segment broken-axis ticks, and series opacity.

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