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Features.md

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Features

Wisteria Dataviz contains features such as:

  • Numerous built-in graphs (refer to the Wisteria::Graphs namespace for a full list)
  • Interface for displaying tabular data, including support for aggregate columns/rows, cell highlighting, outlier detection, and annotations
  • Built-in printing support
  • Built-in copy support
  • Exporting (SVG, PNG, JPEG, GIF, BMP, TGA, and TIFF are supported)
  • Mouse- and keyboard-enabled zooming
  • Data importing (Excel, CSV, tab-delimited, or user-defined delimited files) support
  • Data transformations, such as filtering, pivoting (both longer or wider), subsetting, and recoding
  • Data exporting (CSV, tab-delimited, or user-defined delimited files) support
  • A dataset interface, which allows for easily connecting data to most graphs
    • Includes support for continuous, categorical, date/time, and ID columns
    • Graphs are designed to handle missing data
  • Uses high-quality wxGraphicsContext for rendering (also uses Direct2D on Windows, if available)
  • Image support, including the ability to use images for plot and bar backgrounds, logos, and point markers
  • Image effects, such as:
    • Applying an oil-painting look
    • Applying a Sepia tone
    • Applying a frosted-glass look
    • Creating a silhouette from an image
    • Stitching images together (either vertically or horizontally)
  • Effects for boxes and bars, including transparency, a watercolor look, a glassy look, stipple brushes, and color fades
  • HiDPI display support (Windows)
  • Customizable point markers and line styles
    • Pre-defined and extensible shape schemes
  • Customizable axes
    • Ranges can be adjusted
    • Supports date ranges
    • Supports logarithmic scales
    • Labels can be stacked, hidden, replaced with custom text, etc.
    • Header and footers can be added
    • Tickmarks can be customized
    • Axis lines can be drawn as a regular line or an arrow
  • Custom axes can be added onto the plot area (inside of the main axes)
  • Reference lines
  • Reference areas (e.g., recession areas on a financial chart)
  • Legends with shape, image, and color scale support
  • Extensive list of pre-built colors that can be referenced via an enumeration (Wisteria::Colors::Color)
  • A color brewing interface, which is helpful for:
    • Building color scales
    • Shading or tinting colors
    • Selecting black or white (e.g., for a font color), depending on which better contrasts against the background color
  • Pre-defined and extensible color schemes
  • Multi-plot support
    • Graphs can be embedded side-by-side on the same (scrollable) canvas
    • Includes support for setting a common axis for all graphs across a row or down a column
    • The size proportions of the rows and columns within the canvas can be customized
  • Annotations support; story-telling notes can be added to a plot with an arrow pointing to specific data points
  • Text boxes that can be drawn vertically or horizontally
  • Selectable objects; for example, selecting a bar on a bar chart can show a custom label
  • i18n support
    • Fully Unicode
    • Locale-sensitive number formatting (based on wxUILocale's settings)
    • All UI-facing text is available for translation (via the gettext library)
  • An extensible framework for designing custom graphs
    • New graph types can be designed from the ground up or be derived from existing graph types (e.g., BarChart)
    • Uses an object-based API for positioning points, text boxes, polygons, lines, and images
    • Supports custom axes
    • Draw bounding boxes and extended information in debug mode
    • Profiling macros (e.g., PROFILE()) to help with reviewing performance
    • i18n functions to help prevent accidental translations (e.g., DONTTRANSLATE() and _DT())
    • LogFile class for routing logging information to a formatted file