Data Plotting

20+ plotting nodes for creating publication-ready statistical visualizations with interactive features and comprehensive customization options.

Core Plotting Nodes

Essential plotting nodes for common data visualization tasks.

Histogram Plot

Create histogram plots for data distribution analysis

Distribution Plots
Features:
  • Multiple column support
  • Customizable bin count
  • Density curve overlay
  • Statistical annotations
  • Publication-ready styling

Scatter Plot

Generate scatter plots for correlation and relationship analysis

Relationship Plots
Features:
  • Color mapping by category
  • Size scaling by value
  • Trend line fitting
  • Correlation coefficient display
  • Interactive tooltips

Line Plot

Create line charts for time series and trend analysis

Time Series Plots
Features:
  • Multiple line series
  • Custom markers and styles
  • Date/time formatting
  • Grid and legend options
  • Smoothing options

Bar Plot

Generate bar charts for categorical data comparison

Categorical Plots
Features:
  • Grouped and stacked bars
  • Horizontal/vertical orientation
  • Color customization
  • Error bars support
  • Value labels

Pie Chart

Create pie charts for proportional data visualization

Part-to-Whole Plots
Features:
  • Percentage labels
  • Color customization
  • Donut chart option
  • Explode segments
  • Legend positioning

Heatmap Plot

Create heatmap visualizations for correlation matrices and 2D data

Matrix Plots
Features:
  • Color map customization
  • Annotation display
  • Clustering options
  • Dendrogram support
  • Interactive exploration

Advanced Plot Types

Specialized plotting nodes for scientific and statistical analysis.

Volcano Plot

plot_volcano

Specialized plot for differential expression analysis

Gene expression analysis, proteomics

Box Plot

plot_box

Box and whisker plots for distribution comparison

Statistical distribution analysis

Violin Plot

plot_violin

Enhanced box plots with kernel density estimation

Distribution comparison with density

Pair Plot

plot_pairplot

Matrix of scatter plots for multivariate analysis

Multivariate relationship analysis

KDE Plot

plot_kde

Kernel density estimation plots

Smooth distribution visualization

Hexbin Plot

plot_hexbin

Hexagonal binning for large dataset visualization

Large scatter plot optimization

Plot Customization

Comprehensive customization options for publication-ready plots.

Styling Options

  • Color schemes and palettes
  • Font and text styling
  • Line and marker styles
  • Grid and axis customization

Layout Options

  • Figure size and DPI settings
  • Legend positioning and styling
  • Title and label customization
  • Subplot and facet support

Interactive Features

  • Zoom and pan capabilities
  • Hover tooltips and annotations
  • Clickable legends and data points
  • Export options (PNG, SVG, PDF)