Wandora.org

Wandora.org

Wandora is an open source software for qualitative data analysis, research information organization, visualization and publishing. It is suitable for coding, annotating, analyzing and visualizing qualitative and mixed data sets. Wandora has support for managing textual documents,
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qualitative-analysis coding annotation research open-source

Wandora: Open Source Data Analysis Software

Qualitative data analysis, research info organization, visualization, and publishing tool for coding, annotating, analyzing mixed data sets with support for various file types

What is Wandora.org?

Wandora is an open source software application designed for qualitative data analysis, research information organization, visualization and publishing. It can be used for a wide range of qualitative research tasks including coding, annotating, analyzing and visualizing qualitative and mixed data sets.

Some of the key features of Wandora include:

  • Support for managing and annotating textual documents, images, PDF files, tables, videos, audio files and other data types
  • Tools for coding, tagging and categorizing qualitative data
  • Advanced search and filtering capabilities
  • Customizable visualization tools such as graphs, charts and maps
  • Functions for analyzing relationships between codes and categories
  • Options for exporting data, analyses and visualizations
  • Extendable through scripting and plug-ins

Overall, Wandora aims to provide a flexible open source platform for organizing, analyzing and publishing qualitative research data. Its workflow and tools are designed based on common qualitative research methodologies. With its active development community and extensive documentation, Wandora can be a useful application for students, academics and other researchers working with non-numerical and unstructured data sets across social sciences, health and humanities.

Wandora.org Features

Features

  1. Text annotation
  2. Coding qualitative data
  3. Analyzing textual data
  4. Visualizing data relationships
  5. Managing documents and files
  6. Exporting data and visualizations

Pricing

  • Open Source

Pros

Free and open source

Cross-platform availability

Powerful text analysis features

Flexible data visualization options

Active development community

Cons

Steep learning curve

Limited support resources

Not as full-featured as paid options


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