ViewDP

ViewDP

ViewDP is an open-source data visualization and analysis software for interactive visual exploration of large, high-dimensional datasets. It enables rapid prototyping of visualizations and provides linked statistical graphics coordinated with both textual and graphical summaries.
data-exploration highdimensional-data statistical-graphics visual-analytics

ViewDP: Open-Source Data Visualization & Analysis Software

ViewDP is an open-source data visualization and analysis software for interactive visual exploration of large, high-dimensional datasets. It enables rapid prototyping of visualizations and provides linked statistical graphics coordinated with both textual and graphical summaries.

What is ViewDP?

ViewDP is an open-source data visualization and analysis software for interactive visual exploration of large, high-dimensional datasets. It enables rapid prototyping of visualizations and provides linked statistical graphics coordinated with both textual and graphical summaries.

Some key features of ViewDP include:

  • Supports large datasets with millions of observations and hundreds of variables
  • Interactive visualizations allow you to select data points to highlight, filter, query data details, etc.
  • Linked views enable drilling down into data across multiple visualization types
  • Statistical graphics like scatterplots, parallel coordinates plots, hexbin plots, box plots
  • Automated regression analytics and statistical summaries
  • Shareable visualization dashboards
  • Extendable with R and Python scripts

ViewDP is well-suited for exploratory data analysis across many domains like biomedicine, engineering, finance, and more. The interactivity enables deeper understanding of patterns and trends in the data. The open-source nature allows customization for specific analysis needs.

ViewDP Features

Features

  1. Interactive visual exploration
  2. Rapid prototyping of visualizations
  3. Linked statistical graphics
  4. Textual and graphical summaries

Pricing

  • Open Source

Pros

Open-source

Good for large, high-dimensional datasets

Enables interactive analysis

Cons

Steep learning curve

Limited customization options

Not suitable for simple visualizations

Official Links


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