Wisteria Dataviz

About

Wisteria Dataviz is data visualization library based on wxWidgets. It includes features such as:

• Numerous built-in graphs (refer to the Wisteria::Graphs namespace for a full list)
• Interface for displaying tabular data
• Built-in printing, copying, and exporting support
• 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
• Image support, including the ability to use images for plot and bar backgrounds, logos, and point markers
• Image effects, such as oil-painting and Sepia tone
• Effects for boxes and bars, including transparency, a watercolor look, a glassy look, stipple brushes, and color fades
• Reference lines and areas
• 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

See more in the features overview.

General Workflow

• Setup the library's settings (optionally) when your application starts
• Construct a Wisteria::Canvas object (which is a wxScrolledWindow-derived window), and embed it into a wxFrame or wxDialog
• Import data into a Wisteria::Data::Dataset (or build a dataset), specifying which columns to include and how to classify them
• Construct a plot object (e.g., Wisteria::Graphs::LinePlot) and pass your dataset to it
• Customize the plot, as needed
  • Change the colors and styles of the bars, lines, etc.
  • Change the plot background color, or use an image as the background
  • Add titles and captions
  • Adjust the axes, add tickmarks, add custom labels
  • etc.
• Add the plot (and its legend [if applicable]) to the canvas

Graph Types

Some of the graphs included are:

Basic

Bar Chart (Wisteria::Graphs::BarChart)	Line Plot (Wisteria::Graphs::LinePlot)

Pie Chart (Wisteria::Graphs::PieChart)	Donut Chart (Wisteria::Graphs::PieChart)

Table (Wisteria::Graphs::Table)

Sankey Diagram (Wisteria::Graphs::SankeyDiagram)

Word Cloud (Wisteria::Graphs::WordCloud)

Business

Gantt Chart (Wisteria::Graphs::GanttChart)

Candlestick Plot (Wisteria::Graphs::CandlestickPlot)

Statistical

Histogram (Wisteria::Graphs::Histogram)	Box Plot (Wisteria::Graphs::BoxPlot)

Discrete Heat Map (Wisteria::Graphs::HeatMap)	Grouped Discrete Heat Map (Wisteria::Graphs::HeatMap)

Survey Data

3-Point Likert Chart (Wisteria::Graphs::LikertChart)

Pro & Con Roadmap (Wisteria::Graphs::ProConRoadmap)

Social Sciences

W-Curve Plot (Wisteria::Graphs::WCurvePlot)

Linear Regression Roadmap (Wisteria::Graphs::LRRoadmap)

See more in the graphs gallery.

Release Notes

Release information is available here.

Building

First, download Wisteria:

git clone https://github.com/Blake-Madden/Wisteria-Dataviz.git --recurse-submodules

Windows

Get and build wxWidgets 3.2 or higher:

git clone https://github.com/wxWidgets/wxWidgets.git --recurse-submodules

Refer here for how to build wxWidgets.

Next, build Wisteria:

If using CMake GUI, open "CMakeLists.txt" and set wxWidgets_ROOT_DIR to the root folder of wxWidgets. Next, configure and generate a project file for your compiler.

If using Visual Studio, open the Wisteria folder to load the project. Then go to Project -> CMake Settings for Wisteria.... Add an entry for wxWidgets_ROOT_DIR and specify the path to your wxWidgets folder. Save and then build the project.

Linux

Install the following from your repository manager (or build from source):

• wxWidgets 3.2
• GTK3 development files (version 3.2 or higher)
• Threading Building Blocks (libtbb) and its development files

Go into the project folder and run the following to build the library and demo:

cmake ./
make -j4

If using KDevelop or VS Code, you can also open the CMake file and build from there.

macOS

Install the following using brew (or build from source):

• wxWidgets 3.2
• Threading Building Blocks (tbb)
• OpenMP (libomp)

Go into the project folder and run the following to build the library and demo:

cmake ./
make -j4

Documentation

To build the API documentation, open "docs/doxygen/Doxyfile" in Doxygen and run it.

Dependencies

• wxWidgets 3.2 or higher
• GTK 3 (Linux)
• Threading Building Blocks: libtbb (Linux), tbb (macOS)
• A C++20 compatible compiler
• OpenMP (optional): libomp (macOS)

If using a version of CMake older than 3.24, please refer to wxWidgets's CMake overview for instructions on how to set up CMake to work with wxWidgets 3.2.