The use of QDA software in social science research is so common that many people tend to see QDA software as a tool primarily for social science research. However, applications like MAXQDA are invaluable productivity tools for research analysts in industry or government as well.
Remarkably scalable, MAXQDA employs a database architecture that can handle research projects ranging in size from several dozen pages to tens of thousands of pages. Many projects today involve identifying connections found among information stored in PDF, Powerpoint presentations, Word documents, photos, videos, and audio recordings. MAXQDA allows users to code relevant sections of each document, identify interrelationships among documents, build relationships among diverse sets of documents and identify thematic trends.
MAXQDA features a simple 4 pane interface that makes it easy to use. The Document System- is where you place documents (text, images, video, or sound files) you want to analyse. The Document Browser is where you view the content of the document. The Coding System shows the various codes that you create and assign to documents. The Retrieved Segments Pane shows search results.
Based on our record, Graphviz seems to be more popular. It has been mentiond 80 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Conventions exist but they're mostly crap. Along the KISS principle, boxed elements with connecting nodes are the best (most universally understood). In mathematical terms, this is an 'undirected graph', a 'directed graph' is the same but with directionality on the links between nodes. The standard toolkit for defining these in software is https://graphviz.org/ If you need to show the interaction between elements... - Source: Hacker News / 16 days ago
Thoughtful post, thanks. However, this tripped me up: "our GPU graph viz server" -- I couldn't understand how you a) scale graphviz[1] on a GPU and b) make money hosting graphviz. Quick read of your web site cleared that up :) [1] https://graphviz.org/. - Source: Hacker News / 4 months ago
Tracing flows: breakdown complex UDP/TCP ECMP traces into individual flows (i.e. Common network path); render a chart of flows in GraphViz DOT format (example). Source: 5 months ago
It has the look of graphviz about it, which is an excellent tool. Often helpful in debugging anything related to graphs. https://graphviz.org/. - Source: Hacker News / 8 months ago
If you are talking about making visualisations for other people it would depend if you want to make them interactive, static, or a mix of the two. I’m not really sure what to recommend given I don’t know - but here are a few places to start: - Python tutor - manim - processing - graphviz - simple but good - draw.io. Source: 12 months ago
PlantUML - PlantUML is an open-source tool that uses simple textual descriptions to draw UML diagrams.
NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs.
draw.io - Online diagramming application
ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.
yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.
QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.