GGobi
GGobi is an open-source data visualization software used for interactive exploratory data analysis. It allows users to visualize high-dimensional datasets with scatterplots, parallel plots, tours, and dimension reduction methods like principal components analysis and grand tours.
data-visualization
exploratory-analysis
highdimensional-data
scatterplots
tours
GGobi: Open-Source Data Visualization Software
Interactive exploratory data analysis tool for high-dimensional datasets with scatterplots, parallel plots, tours, dimension reduction methods & more
What is GGobi?
GGobi is an open-source, multi-platform software application for interactive exploratory data analysis. It allows users to visualize high-dimensional datasets by leveraging interactive graphics such as scatterplots, parallel coordinates, star glyphs, time series plots, tours (animation sequences for exploring n-dimensional data spaces), as well as dimension reduction techniques like principal components analysis (PCA) and grand tours.
Some key features of GGobi include:
- Interactive, dynamic graphics for multivariate data visualization
- Linked plots where changes made in one plot are reflected across other plots
- Powerful data transformations like binning, scaling, jittering
- Smoothing and density estimation
- Identification of outliers
- Missing value, weighted observation and variable weighting support
- Extensible architecture to incorporate new displays and data transformations
GGobi is implemented in C++ and uses GTK+ for its graphical user interface. It can handle large datasets with hundreds of thousands of observations and over a hundred variables. GGobi runs on Linux, Mac and Windows platforms and the source code is freely available under the BSD open source license.
Overall, GGobi allows flexible interactive exploration of high-dimensional datasets to gain insight into patterns and relationships in the data through its suite of multivariate visualization methods.
GGobi Features
Features
- Interactive and dynamic graphics
- Linked, coordinated views
- Grand tours
- Projection pursuit
- Dimension reduction methods like PCA
- Brushing and identification
- Glyphs
Pricing
- Open Source
Pros
Open source and free
Powerful and flexible visualization capabilities
Allows exploration of high-dimensional datasets
Linked, coordinated views make it easy to explore relationships
Support for large datasets
Cons
Steep learning curve
Limited documentation and support
Development seems to have stalled in recent years
Some stability issues
Lacks features of newer visualization tools
Official Links
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Top Data Visualization and Exploratory Data Analysis and other similar apps like GGobi
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